diff --git a/dsLightRag/Topic/Chemistry/graph_chunk_entity_relation.graphml b/dsLightRag/Topic/Chemistry/graph_chunk_entity_relation.graphml index 6620de70..fdaa8745 100644 --- a/dsLightRag/Topic/Chemistry/graph_chunk_entity_relation.graphml +++ b/dsLightRag/Topic/Chemistry/graph_chunk_entity_relation.graphml @@ -16,6 +16,12 @@ Nitric Acid category +<<<<<<< HEAD + Nitric Acid (HNO₃) is a chemical compound involved in decomposition and reaction processes described in the text. + chunk-c944b40c845357549a25762357eaddc7 + unknown_source + 1752193087 +======= Nitric acid (HNO₃) is a chemical compound involved in photodecomposition and reactions with iron oxide. chunk-d0c3bf985a3b3b903e2fb35515fdff1e unknown_source @@ -52,18 +58,72 @@ chunk-d0c3bf985a3b3b903e2fb35515fdff1e unknown_source 1752205395 +>>>>>>> 402c9596e8417ab8a6aefc9985d04acf0169c786 Nitrogen Dioxide category +<<<<<<< HEAD + Nitrogen Dioxide (NO₂) is a gas produced in the decomposition of Nitric Acid and reactions involving Nitric Acid. + chunk-c944b40c845357549a25762357eaddc7 + unknown_source + 1752193087 + + + Oxygen + category + Oxygen (O₂) is a gas produced in the decomposition of Nitric Acid and involved in combustion reactions. + chunk-c944b40c845357549a25762357eaddc7 + unknown_source + 1752193087 + + + Iron Oxide + category + Iron Oxide (FeO) is a chemical compound that reacts with Nitric Acid to produce Iron Nitrate, Hydrogen, and Nitrogen Dioxide. + chunk-c944b40c845357549a25762357eaddc7 + unknown_source + 1752193087 +======= Nitrogen dioxide (NO₂) is a byproduct of the decomposition of nitric acid and the reaction between iron oxide and nitric acid. chunk-d0c3bf985a3b3b903e2fb35515fdff1e unknown_source 1752205395 +>>>>>>> 402c9596e8417ab8a6aefc9985d04acf0169c786 Iron Nitrate category +<<<<<<< HEAD + Iron Nitrate (Fe(NO₃)₃) is a product of the reaction between Iron Oxide and Nitric Acid. + chunk-c944b40c845357549a25762357eaddc7 + unknown_source + 1752193087 + + + Hydrogen + category + Hydrogen (H₂) is a gas produced in the reaction between Iron Oxide and Nitric Acid and involved in combustion reactions. + chunk-c944b40c845357549a25762357eaddc7 + unknown_source + 1752193087 + + + Water + category + Water (H₂O) is a product of the combustion reaction between Hydrogen and Oxygen. + chunk-c944b40c845357549a25762357eaddc7 + unknown_source + 1752193087 + + + Nitric Acid (HNO₃) + category + A strong mineral acid involved in decomposition and redox reactions, producing nitrogen dioxide and oxygen when exposed to light or heat. + chunk-c944b40c845357549a25762357eaddc7 + unknown_source + 1752193087 +======= Iron nitrate (Fe(NO₃)₃) is a product of the reaction between iron oxide and nitric acid. chunk-d0c3bf985a3b3b903e2fb35515fdff1e unknown_source @@ -76,26 +136,190 @@ chunk-d0c3bf985a3b3b903e2fb35515fdff1e unknown_source 1752205395 +>>>>>>> 402c9596e8417ab8a6aefc9985d04acf0169c786 Nitrogen Dioxide (NO₂) category +<<<<<<< HEAD + A reddish-brown gas produced as a byproduct in nitric acid decomposition and iron oxide reactions. + chunk-c944b40c845357549a25762357eaddc7 + unknown_source + 1752193087 +======= A reddish-brown toxic gas produced as a byproduct in nitric acid decomposition and iron oxide reactions. chunk-d0c3bf985a3b3b903e2fb35515fdff1e unknown_source 1752205395 +>>>>>>> 402c9596e8417ab8a6aefc9985d04acf0169c786 Oxygen (O₂) category A diatomic gas produced in nitric acid decomposition and consumed in hydrogen combustion. +<<<<<<< HEAD + chunk-c944b40c845357549a25762357eaddc7 + unknown_source + 1752193087 + + + Iron Oxide (FeO) + category + A chemical compound that reacts with nitric acid to form iron nitrate, hydrogen gas, and nitrogen dioxide. + chunk-c944b40c845357549a25762357eaddc7 + unknown_source + 1752193087 + + + Iron Nitrate (Fe(NO₃)₃) + category + The product formed when iron oxide reacts with nitric acid under heating conditions. + chunk-c944b40c845357549a25762357eaddc7 + unknown_source + 1752193087 + + + Hydrogen (H₂) + category + A flammable gas produced in iron oxide-nitric acid reactions and consumed in combustion with oxygen. + chunk-c944b40c845357549a25762357eaddc7 + unknown_source + 1752193087 +======= chunk-d0c3bf985a3b3b903e2fb35515fdff1e unknown_source 1752205395 +>>>>>>> 402c9596e8417ab8a6aefc9985d04acf0169c786 Water (H₂O) category +<<<<<<< HEAD + The product of hydrogen combustion, formed when hydrogen reacts with oxygen. + chunk-c944b40c845357549a25762357eaddc7 + unknown_source + 1752193087 + + + Light/Heat (Δ) + category + The energy input required for nitric acid decomposition and iron oxide reactions. + chunk-c944b40c845357549a25762357eaddc7 + unknown_source + 1752193087 + + + Combustion + event + A high-temperature exothermic reaction between hydrogen and oxygen producing water. + chunk-c944b40c845357549a25762357eaddc7 + unknown_source + 1752193087 + + + 9.0 + Nitric Acid decomposes to produce Nitrogen Dioxide under light or heat. + chemical decomposition,gas production + chunk-c944b40c845357549a25762357eaddc7 + unknown_source + 1752193087 + + + 8.0 + Nitric Acid decomposes to produce Oxygen gas under light or heat. + chemical decomposition,gas production + chunk-c944b40c845357549a25762357eaddc7 + unknown_source + 1752193087 + + + 10.0 + Iron Oxide reacts with Nitric Acid to produce Iron Nitrate, Hydrogen, and Nitrogen Dioxide. + acid-base interaction,chemical reaction + chunk-c944b40c845357549a25762357eaddc7 + unknown_source + 1752193087 + + + 9.0 + Hydrogen combusts with Oxygen to produce Water. + combustion reaction,energy release + chunk-c944b40c845357549a25762357eaddc7 + unknown_source + 1752193087 + + + 9.0 + Nitric acid requires light or heat energy to decompose into nitrogen dioxide and oxygen. + energy requirement,reaction condition + chunk-c944b40c845357549a25762357eaddc7 + unknown_source + 1752193087 + + + 10.0 + Nitric acid decomposition produces nitrogen dioxide as a primary product. + chemical decomposition,gas production + chunk-c944b40c845357549a25762357eaddc7 + unknown_source + 1752193087 + + + 9.0 + Nitric acid decomposition yields oxygen gas as a byproduct. + gas evolution,redox reaction + chunk-c944b40c845357549a25762357eaddc7 + unknown_source + 1752193087 + + + 10.0 + Iron oxide reacts with nitric acid under heating conditions to produce multiple compounds. + acid-base reaction,redox process + chunk-c944b40c845357549a25762357eaddc7 + unknown_source + 1752193087 + + + 10.0 + Hydrogen combusts with oxygen in an exothermic reaction to form water. + combustion,energy release + chunk-c944b40c845357549a25762357eaddc7 + unknown_source + 1752193087 + + + 9.0 + Oxygen acts as the oxidizer in the hydrogen combustion event. + oxidation,reaction partner + chunk-c944b40c845357549a25762357eaddc7 + unknown_source + 1752193087 + + + 9.0 + Iron oxide transforms into iron nitrate through reaction with nitric acid. + chemical transformation,salt formation + chunk-c944b40c845357549a25762357eaddc7 + unknown_source + 1752193087 + + + 8.0 + The reaction between iron oxide and nitric acid produces hydrogen gas. + gas production,redox byproduct + chunk-c944b40c845357549a25762357eaddc7 + unknown_source + 1752193087 + + + 9.0 + Hydrogen participates as a fuel in the combustion event. + exothermic process,reactive component + chunk-c944b40c845357549a25762357eaddc7 + unknown_source + 1752193087 +======= A compound formed in both nitric acid decomposition and hydrogen-oxygen combustion. chunk-d0c3bf985a3b3b903e2fb35515fdff1e unknown_source @@ -260,6 +484,7 @@ chunk-d0c3bf985a3b3b903e2fb35515fdff1e unknown_source 1752205395 +>>>>>>> 402c9596e8417ab8a6aefc9985d04acf0169c786 diff --git a/dsLightRag/Topic/Chemistry/kv_store_doc_status.json b/dsLightRag/Topic/Chemistry/kv_store_doc_status.json index 128778de..a483bc7a 100644 --- a/dsLightRag/Topic/Chemistry/kv_store_doc_status.json +++ b/dsLightRag/Topic/Chemistry/kv_store_doc_status.json @@ -1,4 +1,14 @@ { +<<<<<<< HEAD + "doc-c944b40c845357549a25762357eaddc7": { + "status": "processed", + "chunks_count": 1, + "content": "硝酸光照分解的方程式\n$$4HNO_{3}overset{overset{}{{Delta}}}{=}4NO_{2} uparrow + O_{2} uparrow + 2HO_{2}$$\n氧化铁与硝酸的加热反应方程式\n$$FeO + 4HNO_{3}overset{overset{}{{Delta}}}{=}Fe(NO_{3})_{3} + 2H_{2} uparrow + NO_{2} uparrow$$\n氢气与氧气燃烧的现象如下图所示：\n$$2H_{2} + O_{2}overset{overset{}{text{燃烧}}}{=}2H_{2}O$$\n![](./Images/554076793cbb4ac7a6baa38782527b22/media/image1.png)", + "content_summary": "硝酸光照分解的方程式\n$$4HNO_{3}overset{overset{}{{Delta}}}{=}4NO_{2} uparrow + O_{2} uparrow + 2HO_{2}$$\n氧化铁与硝酸的加热反应方程式\n$$FeO + 4HNO_{3}overset{overset{}{{Delta}}}{=}Fe(NO_{3})_{3} + 2H_{2} uparrow + NO_{2} uparrow$$\n氢气与氧气燃烧的现象如下图所示：\n$$2H_{2} + O_{2}overset{ov...", + "content_length": 344, + "created_at": "2025-07-11T00:17:16.979064+00:00", + "updated_at": "2025-07-11T00:18:08.428207+00:00", +======= "doc-d0c3bf985a3b3b903e2fb35515fdff1e": { "status": "processed", "chunks_count": 1, @@ -7,6 +17,7 @@ "content_length": 344, "created_at": "2025-07-11T03:42:25.898814+00:00", "updated_at": "2025-07-11T03:43:17.438419+00:00", +>>>>>>> 402c9596e8417ab8a6aefc9985d04acf0169c786 "file_path": "unknown_source" } } \ No newline at end of file diff --git a/dsLightRag/Topic/Chemistry/kv_store_full_docs.json b/dsLightRag/Topic/Chemistry/kv_store_full_docs.json index 5173e6d3..be5c0c9d 100644 --- a/dsLightRag/Topic/Chemistry/kv_store_full_docs.json +++ b/dsLightRag/Topic/Chemistry/kv_store_full_docs.json @@ -1,5 +1,10 @@ { +<<<<<<< HEAD + "doc-c944b40c845357549a25762357eaddc7": { + "content": "硝酸光照分解的方程式\n$$4HNO_{3}overset{overset{}{{Delta}}}{=}4NO_{2} uparrow + O_{2} uparrow + 2HO_{2}$$\n氧化铁与硝酸的加热反应方程式\n$$FeO + 4HNO_{3}overset{overset{}{{Delta}}}{=}Fe(NO_{3})_{3} + 2H_{2} uparrow + NO_{2} uparrow$$\n氢气与氧气燃烧的现象如下图所示：\n$$2H_{2} + O_{2}overset{overset{}{text{燃烧}}}{=}2H_{2}O$$\n![](./Images/554076793cbb4ac7a6baa38782527b22/media/image1.png)" +======= "doc-d0c3bf985a3b3b903e2fb35515fdff1e": { "content": "硝酸光照分解的方程式\n$$4HNO_{3}overset{overset{}{{Delta}}}{=}4NO_{2} uparrow + O_{2} uparrow + 2HO_{2}$$\n氧化铁与硝酸的加热反应方程式\n$$FeO + 4HNO_{3}overset{overset{}{{Delta}}}{=}Fe(NO_{3})_{3} + 2H_{2} uparrow + NO_{2} uparrow$$\n氢气与氧气燃烧的现象如下图所示：\n$$2H_{2} + O_{2}overset{overset{}{text{燃烧}}}{=}2H_{2}O$$\n![](./Images/c8c0221648af480699a364fd50cbbeb6/media/image1.png)" +>>>>>>> 402c9596e8417ab8a6aefc9985d04acf0169c786 } } \ No newline at end of file diff --git a/dsLightRag/Topic/Chemistry/kv_store_llm_response_cache.json b/dsLightRag/Topic/Chemistry/kv_store_llm_response_cache.json index 99b72aaa..30280f64 100644 --- a/dsLightRag/Topic/Chemistry/kv_store_llm_response_cache.json +++ b/dsLightRag/Topic/Chemistry/kv_store_llm_response_cache.json @@ -1,43 +1,84 @@ { +<<<<<<< HEAD + "hybrid": { + "0eea3a1f6f9b9c5cc3fc45c951cdff0b": { + "return": "{\"high_level_keywords\": [\"\\u5c0f\\u5b66\\u6570\\u5b66\", \"\\u5e38\\u89c1\\u6a21\\u578b\", \"\\u6570\\u5b66\\u6559\\u80b2\"], \"low_level_keywords\": [\"\\u51e0\\u4f55\\u56fe\\u5f62\", \"\\u52a0\\u51cf\\u4e58\\u9664\", \"\\u5206\\u6570\", \"\\u65b9\\u7a0b\", \"\\u5e94\\u7528\\u9898\"]}", + "cache_type": "keywords", + "chunk_id": null, +======= "default": { "643062568dc1e4301c64b56dd1af55a8": { "return": "(\"entity\"<|>\"Nitric Acid\"<|>\"category\"<|>\"Nitric Acid is a chemical compound involved in photodecomposition and reactions with iron oxide.\")##\n(\"entity\"<|>\"Iron Oxide\"<|>\"category\"<|>\"Iron Oxide is a chemical compound that reacts with nitric acid under heating conditions.\")##\n(\"entity\"<|>\"Hydrogen\"<|>\"category\"<|>\"Hydrogen is a chemical element that reacts with oxygen to form water through combustion.\")##\n(\"entity\"<|>\"Oxygen\"<|>\"category\"<|>\"Oxygen is a chemical element that reacts with hydrogen to form water through combustion.\")##\n(\"entity\"<|>\"Water\"<|>\"category\"<|>\"Water is the product of the combustion reaction between hydrogen and oxygen.\")##\n(\"relationship\"<|>\"Nitric Acid\"<|>\"Iron Oxide\"<|>\"Nitric Acid reacts with Iron Oxide under heating to produce iron nitrate, water, and nitrogen dioxide.\"<|>\"chemical reaction, heating\"<|>8)##\n(\"relationship\"<|>\"Hydrogen\"<|>\"Oxygen\"<|>\"Hydrogen and Oxygen react through combustion to produce water.\"<|>\"combustion, chemical reaction\"<|>9)##\n(\"relationship\"<|>\"Nitric Acid\"<|>\"Water\"<|>\"Nitric Acid decomposes under light to produce nitrogen dioxide, oxygen, and water.\"<|>\"photodecomposition, chemical reaction\"<|>7)##\n(\"content_keywords\"<|>\"chemical reactions, photodecomposition, combustion, chemistry\")<|COMPLETE|>", "cache_type": "extract", "chunk_id": "chunk-e4dee9f72e6c899fd70a04b77c38d8d0", +>>>>>>> 402c9596e8417ab8a6aefc9985d04acf0169c786 "embedding": null, "embedding_shape": null, "embedding_min": null, "embedding_max": null, "original_prompt": "---Goal---\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\nUse English as output language.\n\n---Steps---\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, use same language as input text. If English, capitalized the name.\n- entity_type: One of the following types: [organization,person,geo,event,category]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><|><|>)\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n- relationship_keywords: one or more high-level key words that summarize the overarching nature of the relationship, focusing on concepts or themes rather than specific details\nFormat each relationship as (\"relationship\"<|><|><|><|><|>)\n\n3. Identify high-level key words that summarize the main concepts, themes, or topics of the entire text. These should capture the overarching ideas present in the document.\nFormat the content-level key words as (\"content_keywords\"<|>)\n\n4. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n5. When finished, output <|COMPLETE|>\n\n######################\n---Examples---\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\n```\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \"If this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\"\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n```\n\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>\"power dynamics, perspective shift\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>\"shared goals, rebellion\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>\"conflict resolution, mutual respect\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>\"ideological conflict, rebellion\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>\"reverence, technological significance\"<|>9)##\n(\"content_keywords\"<|>\"power dynamics, ideological conflict, discovery, rebellion\")<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [company, index, commodity, market_trend, economic_policy, biological]\nText:\n```\nStock markets faced a sharp downturn today as tech giants saw significant declines, with the Global Tech Index dropping by 3.4% in midday trading. Analysts attribute the selloff to investor concerns over rising interest rates and regulatory uncertainty.\n\nAmong the hardest hit, Nexon Technologies saw its stock plummet by 7.8% after reporting lower-than-expected quarterly earnings. In contrast, Omega Energy posted a modest 2.1% gain, driven by rising oil prices.\n\nMeanwhile, commodity markets reflected a mixed sentiment. Gold futures rose by 1.5%, reaching $2,080 per ounce, as investors sought safe-haven assets. Crude oil prices continued their rally, climbing to $87.60 per barrel, supported by supply constraints and strong demand.\n\nFinancial experts are closely watching the Federal Reserve's next move, as speculation grows over potential rate hikes. The upcoming policy announcement is expected to influence investor confidence and overall market stability.\n```\n\nOutput:\n(\"entity\"<|>\"Global Tech Index\"<|>\"index\"<|>\"The Global Tech Index tracks the performance of major technology stocks and experienced a 3.4% decline today.\")##\n(\"entity\"<|>\"Nexon Technologies\"<|>\"company\"<|>\"Nexon Technologies is a tech company that saw its stock decline by 7.8% after disappointing earnings.\")##\n(\"entity\"<|>\"Omega Energy\"<|>\"company\"<|>\"Omega Energy is an energy company that gained 2.1% in stock value due to rising oil prices.\")##\n(\"entity\"<|>\"Gold Futures\"<|>\"commodity\"<|>\"Gold futures rose by 1.5%, indicating increased investor interest in safe-haven assets.\")##\n(\"entity\"<|>\"Crude Oil\"<|>\"commodity\"<|>\"Crude oil prices rose to $87.60 per barrel due to supply constraints and strong demand.\")##\n(\"entity\"<|>\"Market Selloff\"<|>\"market_trend\"<|>\"Market selloff refers to the significant decline in stock values due to investor concerns over interest rates and regulations.\")##\n(\"entity\"<|>\"Federal Reserve Policy Announcement\"<|>\"economic_policy\"<|>\"The Federal Reserve's upcoming policy announcement is expected to impact investor confidence and market stability.\")##\n(\"relationship\"<|>\"Global Tech Index\"<|>\"Market Selloff\"<|>\"The decline in the Global Tech Index is part of the broader market selloff driven by investor concerns.\"<|>\"market performance, investor sentiment\"<|>9)##\n(\"relationship\"<|>\"Nexon Technologies\"<|>\"Global Tech Index\"<|>\"Nexon Technologies' stock decline contributed to the overall drop in the Global Tech Index.\"<|>\"company impact, index movement\"<|>8)##\n(\"relationship\"<|>\"Gold Futures\"<|>\"Market Selloff\"<|>\"Gold prices rose as investors sought safe-haven assets during the market selloff.\"<|>\"market reaction, safe-haven investment\"<|>10)##\n(\"relationship\"<|>\"Federal Reserve Policy Announcement\"<|>\"Market Selloff\"<|>\"Speculation over Federal Reserve policy changes contributed to market volatility and investor selloff.\"<|>\"interest rate impact, financial regulation\"<|>7)##\n(\"content_keywords\"<|>\"market downturn, investor sentiment, commodities, Federal Reserve, stock performance\")<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [economic_policy, athlete, event, location, record, organization, equipment]\nText:\n```\nAt the World Athletics Championship in Tokyo, Noah Carter broke the 100m sprint record using cutting-edge carbon-fiber spikes.\n```\n\nOutput:\n(\"entity\"<|>\"World Athletics Championship\"<|>\"event\"<|>\"The World Athletics Championship is a global sports competition featuring top athletes in track and field.\")##\n(\"entity\"<|>\"Tokyo\"<|>\"location\"<|>\"Tokyo is the host city of the World Athletics Championship.\")##\n(\"entity\"<|>\"Noah Carter\"<|>\"athlete\"<|>\"Noah Carter is a sprinter who set a new record in the 100m sprint at the World Athletics Championship.\")##\n(\"entity\"<|>\"100m Sprint Record\"<|>\"record\"<|>\"The 100m sprint record is a benchmark in athletics, recently broken by Noah Carter.\")##\n(\"entity\"<|>\"Carbon-Fiber Spikes\"<|>\"equipment\"<|>\"Carbon-fiber spikes are advanced sprinting shoes that provide enhanced speed and traction.\")##\n(\"entity\"<|>\"World Athletics Federation\"<|>\"organization\"<|>\"The World Athletics Federation is the governing body overseeing the World Athletics Championship and record validations.\")##\n(\"relationship\"<|>\"World Athletics Championship\"<|>\"Tokyo\"<|>\"The World Athletics Championship is being hosted in Tokyo.\"<|>\"event location, international competition\"<|>8)##\n(\"relationship\"<|>\"Noah Carter\"<|>\"100m Sprint Record\"<|>\"Noah Carter set a new 100m sprint record at the championship.\"<|>\"athlete achievement, record-breaking\"<|>10)##\n(\"relationship\"<|>\"Noah Carter\"<|>\"Carbon-Fiber Spikes\"<|>\"Noah Carter used carbon-fiber spikes to enhance performance during the race.\"<|>\"athletic equipment, performance boost\"<|>7)##\n(\"relationship\"<|>\"World Athletics Federation\"<|>\"100m Sprint Record\"<|>\"The World Athletics Federation is responsible for validating and recognizing new sprint records.\"<|>\"sports regulation, record certification\"<|>9)##\n(\"content_keywords\"<|>\"athletics, sprinting, record-breaking, sports technology, competition\")<|COMPLETE|>\n#############################\n\n#############################\n---Real Data---\n######################\nEntity_types: [organization,person,geo,event,category]\nText:\n硝酸光照分解的方程式\n$$4HNO_{3}overset{overset{}{{Delta}}}{=}4NO_{2} uparrow + O_{2} uparrow + 2HO_{2}$$\n氧化铁与硝酸的加热反应方程式\n$$FeO + 4HNO_{3}overset{overset{}{{Delta}}}{=}Fe(NO_{3})_{3} + 2H_{2} uparrow + NO_{2} uparrow$$\n氢气与氧气燃烧的现象如下图所示：\n$$2H_{2} + O_{2}overset{overset{}{text{燃烧}}}{=}2H_{2}O$$\n![](./Images/500a35d1483c4b9d934ff584073c6590/media/image1.png)\n######################\nOutput:" }, +<<<<<<< HEAD + "9b37cd625bfa223f5c83501990ad6be1": { + "return": "{\"high_level_keywords\": [\"\\u82cf\\u8f7c\", \"\\u5bb6\\u4eba\", \"\\u5bb6\\u5ead\\u5173\\u7cfb\"], \"low_level_keywords\": [\"\\u82cf\\u6d35\", \"\\u82cf\\u8f99\", \"\\u738b\\u5f17\", \"\\u738b\\u671d\\u4e91\", \"\\u82cf\\u8fc8\", \"\\u82cf\\u8fc7\"]}", + "cache_type": "keywords", + "chunk_id": null, +======= "256515243b2affb75b0f34741a7b4a64": { "return": "(\"entity\"<|>\"Nitric Acid\"<|>\"category\"<|>\"Nitric Acid (HNO₃) is a strong oxidizing acid that undergoes photodecomposition when exposed to light, producing nitrogen dioxide, oxygen, and water.\")##\n(\"entity\"<|>\"Iron Oxide\"<|>\"category\"<|>\"Iron Oxide (FeO) is a chemical compound that reacts with nitric acid under heating conditions to form iron nitrate, water, and nitrogen dioxide.\")##\n(\"entity\"<|>\"Hydrogen\"<|>\"category\"<|>\"Hydrogen (H₂) is a highly flammable gas that reacts with oxygen in a combustion reaction to produce water.\")##\n(\"entity\"<|>\"Oxygen\"<|>\"category\"<|>\"Oxygen (O₂) is a reactive gas that combines with hydrogen in a combustion reaction to form water.\")##\n(\"entity\"<|>\"Water\"<|>\"category\"<|>\"Water (H₂O) is the product of both the nitric acid photodecomposition and the hydrogen-oxygen combustion reaction.\")##\n(\"entity\"<|>\"Nitrogen Dioxide\"<|>\"category\"<|>\"Nitrogen Dioxide (NO₂) is a reddish-brown gas produced in both the photodecomposition of nitric acid and its reaction with iron oxide.\")##\n(\"entity\"<|>\"Iron Nitrate\"<|>\"category\"<|>\"Iron Nitrate (Fe(NO₃)₃) is a chemical compound formed when iron oxide reacts with nitric acid under heating conditions.\")##\n(\"entity\"<|>\"Photodecomposition\"<|>\"event\"<|>\"Photodecomposition is the chemical breakdown of nitric acid when exposed to light, producing nitrogen dioxide, oxygen, and water.\")##\n(\"entity\"<|>\"Combustion\"<|>\"event\"<|>\"Combustion is the chemical reaction between hydrogen and oxygen that produces water, typically accompanied by heat and light.\")##\n(\"relationship\"<|>\"Nitric Acid\"<|>\"Photodecomposition\"<|>\"Nitric Acid undergoes photodecomposition when exposed to light, breaking down into nitrogen dioxide, oxygen, and water.\"<|>\"chemical reaction, light-induced\"<|>9)##\n(\"relationship\"<|>\"Iron Oxide\"<|>\"Nitric Acid\"<|>\"Iron Oxide reacts with Nitric Acid under heating to produce iron nitrate, water, and nitrogen dioxide.\"<|>\"chemical reaction, acid-base\"<|>8)##\n(\"relationship\"<|>\"Hydrogen\"<|>\"Oxygen\"<|>\"Hydrogen and Oxygen undergo combustion to produce water, releasing energy in the process.\"<|>\"exothermic reaction, energy production\"<|>10)##\n(\"relationship\"<|>\"Nitric Acid\"<|>\"Nitrogen Dioxide\"<|>\"Nitric Acid produces Nitrogen Dioxide as one of the main products during its photodecomposition.\"<|>\"decomposition product, gas formation\"<|>7)##\n(\"relationship\"<|>\"Iron Oxide\"<|>\"Iron Nitrate\"<|>\"Iron Oxide is transformed into Iron Nitrate when reacting with nitric acid under heating conditions.\"<|>\"chemical transformation, salt formation\"<|>8)##\n(\"relationship\"<|>\"Combustion\"<|>\"Water\"<|>\"The Combustion reaction between hydrogen and oxygen produces Water as its primary product.\"<|>\"reaction product, compound formation\"<|>9)##\n(\"relationship\"<|>\"Photodecomposition\"<|>\"Nitrogen Dioxide\"<|>\"Photodecomposition of Nitric Acid yields Nitrogen Dioxide as one of its gaseous products.\"<|>\"gas production, decomposition\"<|>7)##\n(\"content_keywords\"<|>\"chemical reactions, photochemistry, combustion, acid-base reactions, decomposition\")<|COMPLETE|>", "cache_type": "extract", "chunk_id": "chunk-e4dee9f72e6c899fd70a04b77c38d8d0", +>>>>>>> 402c9596e8417ab8a6aefc9985d04acf0169c786 "embedding": null, "embedding_shape": null, "embedding_min": null, "embedding_max": null, "original_prompt": "[{\"role\": \"user\", \"content\": \"---Goal---\\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\\nUse English as output language.\\n\\n---Steps---\\n1. Identify all entities. For each identified entity, extract the following information:\\n- entity_name: Name of the entity, use same language as input text. If English, capitalized the name.\\n- entity_type: One of the following types: [organization,person,geo,event,category]\\n- entity_description: Comprehensive description of the entity's attributes and activities\\nFormat each entity as (\\\"entity\\\"<|><|><|>)\\n\\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\\nFor each pair of related entities, extract the following information:\\n- source_entity: name of the source entity, as identified in step 1\\n- target_entity: name of the target entity, as identified in step 1\\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\\n- relationship_keywords: one or more high-level key words that summarize the overarching nature of the relationship, focusing on concepts or themes rather than specific details\\nFormat each relationship as (\\\"relationship\\\"<|><|><|><|><|>)\\n\\n3. Identify high-level key words that summarize the main concepts, themes, or topics of the entire text. These should capture the overarching ideas present in the document.\\nFormat the content-level key words as (\\\"content_keywords\\\"<|>)\\n\\n4. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\\n\\n5. When finished, output <|COMPLETE|>\\n\\n######################\\n---Examples---\\n######################\\nExample 1:\\n\\nEntity_types: [person, technology, mission, organization, location]\\nText:\\n```\\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\\n\\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \\\"If this tech can be understood...\\\" Taylor said, their voice quieter, \\\"It could change the game for us. For all of us.\\\"\\n\\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\\n\\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\\n```\\n\\nOutput:\\n(\\\"entity\\\"<|>\\\"Alex\\\"<|>\\\"person\\\"<|>\\\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\\\")##\\n(\\\"entity\\\"<|>\\\"Taylor\\\"<|>\\\"person\\\"<|>\\\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\\\")##\\n(\\\"entity\\\"<|>\\\"Jordan\\\"<|>\\\"person\\\"<|>\\\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\\\")##\\n(\\\"entity\\\"<|>\\\"Cruz\\\"<|>\\\"person\\\"<|>\\\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\\\")##\\n(\\\"entity\\\"<|>\\\"The Device\\\"<|>\\\"technology\\\"<|>\\\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\\\")##\\n(\\\"relationship\\\"<|>\\\"Alex\\\"<|>\\\"Taylor\\\"<|>\\\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\\\"<|>\\\"power dynamics, perspective shift\\\"<|>7)##\\n(\\\"relationship\\\"<|>\\\"Alex\\\"<|>\\\"Jordan\\\"<|>\\\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\\\"<|>\\\"shared goals, rebellion\\\"<|>6)##\\n(\\\"relationship\\\"<|>\\\"Taylor\\\"<|>\\\"Jordan\\\"<|>\\\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\\\"<|>\\\"conflict resolution, mutual respect\\\"<|>8)##\\n(\\\"relationship\\\"<|>\\\"Jordan\\\"<|>\\\"Cruz\\\"<|>\\\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\\\"<|>\\\"ideological conflict, rebellion\\\"<|>5)##\\n(\\\"relationship\\\"<|>\\\"Taylor\\\"<|>\\\"The Device\\\"<|>\\\"Taylor shows reverence towards the device, indicating its importance and potential impact.\\\"<|>\\\"reverence, technological significance\\\"<|>9)##\\n(\\\"content_keywords\\\"<|>\\\"power dynamics, ideological conflict, discovery, rebellion\\\")<|COMPLETE|>\\n#############################\\nExample 2:\\n\\nEntity_types: [company, index, commodity, market_trend, economic_policy, biological]\\nText:\\n```\\nStock markets faced a sharp downturn today as tech giants saw significant declines, with the Global Tech Index dropping by 3.4% in midday trading. Analysts attribute the selloff to investor concerns over rising interest rates and regulatory uncertainty.\\n\\nAmong the hardest hit, Nexon Technologies saw its stock plummet by 7.8% after reporting lower-than-expected quarterly earnings. In contrast, Omega Energy posted a modest 2.1% gain, driven by rising oil prices.\\n\\nMeanwhile, commodity markets reflected a mixed sentiment. Gold futures rose by 1.5%, reaching $2,080 per ounce, as investors sought safe-haven assets. Crude oil prices continued their rally, climbing to $87.60 per barrel, supported by supply constraints and strong demand.\\n\\nFinancial experts are closely watching the Federal Reserve's next move, as speculation grows over potential rate hikes. The upcoming policy announcement is expected to influence investor confidence and overall market stability.\\n```\\n\\nOutput:\\n(\\\"entity\\\"<|>\\\"Global Tech Index\\\"<|>\\\"index\\\"<|>\\\"The Global Tech Index tracks the performance of major technology stocks and experienced a 3.4% decline today.\\\")##\\n(\\\"entity\\\"<|>\\\"Nexon Technologies\\\"<|>\\\"company\\\"<|>\\\"Nexon Technologies is a tech company that saw its stock decline by 7.8% after disappointing earnings.\\\")##\\n(\\\"entity\\\"<|>\\\"Omega Energy\\\"<|>\\\"company\\\"<|>\\\"Omega Energy is an energy company that gained 2.1% in stock value due to rising oil prices.\\\")##\\n(\\\"entity\\\"<|>\\\"Gold Futures\\\"<|>\\\"commodity\\\"<|>\\\"Gold futures rose by 1.5%, indicating increased investor interest in safe-haven assets.\\\")##\\n(\\\"entity\\\"<|>\\\"Crude Oil\\\"<|>\\\"commodity\\\"<|>\\\"Crude oil prices rose to $87.60 per barrel due to supply constraints and strong demand.\\\")##\\n(\\\"entity\\\"<|>\\\"Market Selloff\\\"<|>\\\"market_trend\\\"<|>\\\"Market selloff refers to the significant decline in stock values due to investor concerns over interest rates and regulations.\\\")##\\n(\\\"entity\\\"<|>\\\"Federal Reserve Policy Announcement\\\"<|>\\\"economic_policy\\\"<|>\\\"The Federal Reserve's upcoming policy announcement is expected to impact investor confidence and market stability.\\\")##\\n(\\\"relationship\\\"<|>\\\"Global Tech Index\\\"<|>\\\"Market Selloff\\\"<|>\\\"The decline in the Global Tech Index is part of the broader market selloff driven by investor concerns.\\\"<|>\\\"market performance, investor sentiment\\\"<|>9)##\\n(\\\"relationship\\\"<|>\\\"Nexon Technologies\\\"<|>\\\"Global Tech Index\\\"<|>\\\"Nexon Technologies' stock decline contributed to the overall drop in the Global Tech Index.\\\"<|>\\\"company impact, index movement\\\"<|>8)##\\n(\\\"relationship\\\"<|>\\\"Gold Futures\\\"<|>\\\"Market Selloff\\\"<|>\\\"Gold prices rose as investors sought safe-haven assets during the market selloff.\\\"<|>\\\"market reaction, safe-haven investment\\\"<|>10)##\\n(\\\"relationship\\\"<|>\\\"Federal Reserve Policy Announcement\\\"<|>\\\"Market Selloff\\\"<|>\\\"Speculation over Federal Reserve policy changes contributed to market volatility and investor selloff.\\\"<|>\\\"interest rate impact, financial regulation\\\"<|>7)##\\n(\\\"content_keywords\\\"<|>\\\"market downturn, investor sentiment, commodities, Federal Reserve, stock performance\\\")<|COMPLETE|>\\n#############################\\nExample 3:\\n\\nEntity_types: [economic_policy, athlete, event, location, record, organization, equipment]\\nText:\\n```\\nAt the World Athletics Championship in Tokyo, Noah Carter broke the 100m sprint record using cutting-edge carbon-fiber spikes.\\n```\\n\\nOutput:\\n(\\\"entity\\\"<|>\\\"World Athletics Championship\\\"<|>\\\"event\\\"<|>\\\"The World Athletics Championship is a global sports competition featuring top athletes in track and field.\\\")##\\n(\\\"entity\\\"<|>\\\"Tokyo\\\"<|>\\\"location\\\"<|>\\\"Tokyo is the host city of the World Athletics Championship.\\\")##\\n(\\\"entity\\\"<|>\\\"Noah Carter\\\"<|>\\\"athlete\\\"<|>\\\"Noah Carter is a sprinter who set a new record in the 100m sprint at the World Athletics Championship.\\\")##\\n(\\\"entity\\\"<|>\\\"100m Sprint Record\\\"<|>\\\"record\\\"<|>\\\"The 100m sprint record is a benchmark in athletics, recently broken by Noah Carter.\\\")##\\n(\\\"entity\\\"<|>\\\"Carbon-Fiber Spikes\\\"<|>\\\"equipment\\\"<|>\\\"Carbon-fiber spikes are advanced sprinting shoes that provide enhanced speed and traction.\\\")##\\n(\\\"entity\\\"<|>\\\"World Athletics Federation\\\"<|>\\\"organization\\\"<|>\\\"The World Athletics Federation is the governing body overseeing the World Athletics Championship and record validations.\\\")##\\n(\\\"relationship\\\"<|>\\\"World Athletics Championship\\\"<|>\\\"Tokyo\\\"<|>\\\"The World Athletics Championship is being hosted in Tokyo.\\\"<|>\\\"event location, international competition\\\"<|>8)##\\n(\\\"relationship\\\"<|>\\\"Noah Carter\\\"<|>\\\"100m Sprint Record\\\"<|>\\\"Noah Carter set a new 100m sprint record at the championship.\\\"<|>\\\"athlete achievement, record-breaking\\\"<|>10)##\\n(\\\"relationship\\\"<|>\\\"Noah Carter\\\"<|>\\\"Carbon-Fiber Spikes\\\"<|>\\\"Noah Carter used carbon-fiber spikes to enhance performance during the race.\\\"<|>\\\"athletic equipment, performance boost\\\"<|>7)##\\n(\\\"relationship\\\"<|>\\\"World Athletics Federation\\\"<|>\\\"100m Sprint Record\\\"<|>\\\"The World Athletics Federation is responsible for validating and recognizing new sprint records.\\\"<|>\\\"sports regulation, record certification\\\"<|>9)##\\n(\\\"content_keywords\\\"<|>\\\"athletics, sprinting, record-breaking, sports technology, competition\\\")<|COMPLETE|>\\n#############################\\n\\n#############################\\n---Real Data---\\n######################\\nEntity_types: [organization,person,geo,event,category]\\nText:\\n硝酸光照分解的方程式\\n$$4HNO_{3}overset{overset{}{{Delta}}}{=}4NO_{2} uparrow + O_{2} uparrow + 2HO_{2}$$\\n氧化铁与硝酸的加热反应方程式\\n$$FeO + 4HNO_{3}overset{overset{}{{Delta}}}{=}Fe(NO_{3})_{3} + 2H_{2} uparrow + NO_{2} uparrow$$\\n氢气与氧气燃烧的现象如下图所示：\\n$$2H_{2} + O_{2}overset{overset{}{text{燃烧}}}{=}2H_{2}O$$\\n![](./Images/500a35d1483c4b9d934ff584073c6590/media/image1.png)\\n######################\\nOutput:\"}, {\"role\": \"assistant\", \"content\": \"(\\\"entity\\\"<|>\\\"Nitric Acid\\\"<|>\\\"category\\\"<|>\\\"Nitric Acid is a chemical compound involved in photodecomposition and reactions with iron oxide.\\\")##\\n(\\\"entity\\\"<|>\\\"Iron Oxide\\\"<|>\\\"category\\\"<|>\\\"Iron Oxide is a chemical compound that reacts with nitric acid under heating conditions.\\\")##\\n(\\\"entity\\\"<|>\\\"Hydrogen\\\"<|>\\\"category\\\"<|>\\\"Hydrogen is a chemical element that reacts with oxygen to form water through combustion.\\\")##\\n(\\\"entity\\\"<|>\\\"Oxygen\\\"<|>\\\"category\\\"<|>\\\"Oxygen is a chemical element that reacts with hydrogen to form water through combustion.\\\")##\\n(\\\"entity\\\"<|>\\\"Water\\\"<|>\\\"category\\\"<|>\\\"Water is the product of the combustion reaction between hydrogen and oxygen.\\\")##\\n(\\\"relationship\\\"<|>\\\"Nitric Acid\\\"<|>\\\"Iron Oxide\\\"<|>\\\"Nitric Acid reacts with Iron Oxide under heating to produce iron nitrate, water, and nitrogen dioxide.\\\"<|>\\\"chemical reaction, heating\\\"<|>8)##\\n(\\\"relationship\\\"<|>\\\"Hydrogen\\\"<|>\\\"Oxygen\\\"<|>\\\"Hydrogen and Oxygen react through combustion to produce water.\\\"<|>\\\"combustion, chemical reaction\\\"<|>9)##\\n(\\\"relationship\\\"<|>\\\"Nitric Acid\\\"<|>\\\"Water\\\"<|>\\\"Nitric Acid decomposes under light to produce nitrogen dioxide, oxygen, and water.\\\"<|>\\\"photodecomposition, chemical reaction\\\"<|>7)##\\n(\\\"content_keywords\\\"<|>\\\"chemical reactions, photodecomposition, combustion, chemistry\\\")<|COMPLETE|>\"}]\nMANY entities and relationships were missed in the last extraction.\n\n---Remember Steps---\n\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, use same language as input text. If English, capitalized the name.\n- entity_type: One of the following types: [organization,person,geo,event,category]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><|><|>)\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n- relationship_keywords: one or more high-level key words that summarize the overarching nature of the relationship, focusing on concepts or themes rather than specific details\nFormat each relationship as (\"relationship\"<|><|><|><|><|>)\n\n3. Identify high-level key words that summarize the main concepts, themes, or topics of the entire text. These should capture the overarching ideas present in the document.\nFormat the content-level key words as (\"content_keywords\"<|>)\n\n4. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n5. When finished, output <|COMPLETE|>\n\n---Output---\n\nAdd them below using the same format:" }, +<<<<<<< HEAD + "0866bc72067432ca7e2676c73832db63": { + "return": "{\"high_level_keywords\": [\"\\u785d\\u9178\\u5206\\u89e3\", \"\\u5149\\u7167\\u53cd\\u5e94\", \"\\u5316\\u5b66\\u53cd\\u5e94\"], \"low_level_keywords\": [\"\\u785d\\u9178\", \"\\u5149\\u7167\", \"\\u5206\\u89e3\\u4ea7\\u7269\", \"\\u53cd\\u5e94\\u6761\\u4ef6\", \"\\u5316\\u5b66\\u65b9\\u7a0b\\u5f0f\"]}", + "cache_type": "keywords", + "chunk_id": null, +======= "405460a53d057f938c2f74dda5548a63": { "return": "(\"entity\"<|>\"Nitric Acid\"<|>\"category\"<|>\"Nitric acid (HNO₃) is a chemical compound involved in photodecomposition and reactions with iron oxide.\")##\n(\"entity\"<|>\"Iron Oxide\"<|>\"category\"<|>\"Iron oxide (FeO) is a chemical compound that reacts with nitric acid under heat to produce iron nitrate, water, and nitrogen dioxide.\")##\n(\"entity\"<|>\"Hydrogen\"<|>\"category\"<|>\"Hydrogen (H₂) is a chemical element that combusts with oxygen to form water.\")##\n(\"entity\"<|>\"Oxygen\"<|>\"category\"<|>\"Oxygen (O₂) is a chemical element involved in combustion reactions with hydrogen.\")##\n(\"entity\"<|>\"Water\"<|>\"category\"<|>\"Water (H₂O) is the product of the combustion reaction between hydrogen and oxygen.\")##\n(\"entity\"<|>\"Nitrogen Dioxide\"<|>\"category\"<|>\"Nitrogen dioxide (NO₂) is a byproduct of the decomposition of nitric acid and the reaction between iron oxide and nitric acid.\")##\n(\"entity\"<|>\"Iron Nitrate\"<|>\"category\"<|>\"Iron nitrate (Fe(NO₃)₃) is a product of the reaction between iron oxide and nitric acid.\")##\n(\"relationship\"<|>\"Nitric Acid\"<|>\"Nitrogen Dioxide\"<|>\"Nitric acid decomposes under light to produce nitrogen dioxide, oxygen, and water.\"<|>\"chemical decomposition, byproducts\"<|>8)##\n(\"relationship\"<|>\"Iron Oxide\"<|>\"Nitric Acid\"<|>\"Iron oxide reacts with nitric acid under heat to produce iron nitrate, water, and nitrogen dioxide.\"<|>\"chemical reaction, heat application\"<|>9)##\n(\"relationship\"<|>\"Hydrogen\"<|>\"Oxygen\"<|>\"Hydrogen combusts with oxygen to form water.\"<|>\"combustion reaction, synthesis\"<|>10)##\n(\"relationship\"<|>\"Iron Oxide\"<|>\"Iron Nitrate\"<|>\"Iron oxide is converted into iron nitrate through its reaction with nitric acid.\"<|>\"chemical transformation, product formation\"<|>7)##\n(\"content_keywords\"<|>\"chemical reactions, decomposition, combustion, synthesis, chemical compounds\")<|COMPLETE|>", "cache_type": "extract", "chunk_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", +>>>>>>> 402c9596e8417ab8a6aefc9985d04acf0169c786 "embedding": null, "embedding_shape": null, "embedding_min": null, "embedding_max": null, +<<<<<<< HEAD + "original_prompt": "硝酸的光照分解反应?" + }, + "d76baeceecdfd9ed35f72d4f94537986": { + "return": "{\"high_level_keywords\": [\"\\u5316\\u5b66\\u53cd\\u5e94\", \"\\u71c3\\u70e7\\u73b0\\u8c61\", \"\\u6c14\\u4f53\\u53cd\\u5e94\"], \"low_level_keywords\": [\"\\u6c22\\u6c14\", \"\\u6c27\\u6c14\", \"\\u6c34\", \"\\u706b\\u7130\", \"\\u70ed\\u91ca\\u653e\"]}", + "cache_type": "keywords", + "chunk_id": null, +======= "original_prompt": "---Goal---\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\nUse English as output language.\n\n---Steps---\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, use same language as input text. If English, capitalized the name.\n- entity_type: One of the following types: [organization,person,geo,event,category]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><|><|>)\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n- relationship_keywords: one or more high-level key words that summarize the overarching nature of the relationship, focusing on concepts or themes rather than specific details\nFormat each relationship as (\"relationship\"<|><|><|><|><|>)\n\n3. Identify high-level key words that summarize the main concepts, themes, or topics of the entire text. These should capture the overarching ideas present in the document.\nFormat the content-level key words as (\"content_keywords\"<|>)\n\n4. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n5. When finished, output <|COMPLETE|>\n\n######################\n---Examples---\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\n```\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \"If this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\"\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n```\n\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>\"power dynamics, perspective shift\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>\"shared goals, rebellion\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>\"conflict resolution, mutual respect\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>\"ideological conflict, rebellion\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>\"reverence, technological significance\"<|>9)##\n(\"content_keywords\"<|>\"power dynamics, ideological conflict, discovery, rebellion\")<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [company, index, commodity, market_trend, economic_policy, biological]\nText:\n```\nStock markets faced a sharp downturn today as tech giants saw significant declines, with the Global Tech Index dropping by 3.4% in midday trading. Analysts attribute the selloff to investor concerns over rising interest rates and regulatory uncertainty.\n\nAmong the hardest hit, Nexon Technologies saw its stock plummet by 7.8% after reporting lower-than-expected quarterly earnings. In contrast, Omega Energy posted a modest 2.1% gain, driven by rising oil prices.\n\nMeanwhile, commodity markets reflected a mixed sentiment. Gold futures rose by 1.5%, reaching $2,080 per ounce, as investors sought safe-haven assets. Crude oil prices continued their rally, climbing to $87.60 per barrel, supported by supply constraints and strong demand.\n\nFinancial experts are closely watching the Federal Reserve's next move, as speculation grows over potential rate hikes. The upcoming policy announcement is expected to influence investor confidence and overall market stability.\n```\n\nOutput:\n(\"entity\"<|>\"Global Tech Index\"<|>\"index\"<|>\"The Global Tech Index tracks the performance of major technology stocks and experienced a 3.4% decline today.\")##\n(\"entity\"<|>\"Nexon Technologies\"<|>\"company\"<|>\"Nexon Technologies is a tech company that saw its stock decline by 7.8% after disappointing earnings.\")##\n(\"entity\"<|>\"Omega Energy\"<|>\"company\"<|>\"Omega Energy is an energy company that gained 2.1% in stock value due to rising oil prices.\")##\n(\"entity\"<|>\"Gold Futures\"<|>\"commodity\"<|>\"Gold futures rose by 1.5%, indicating increased investor interest in safe-haven assets.\")##\n(\"entity\"<|>\"Crude Oil\"<|>\"commodity\"<|>\"Crude oil prices rose to $87.60 per barrel due to supply constraints and strong demand.\")##\n(\"entity\"<|>\"Market Selloff\"<|>\"market_trend\"<|>\"Market selloff refers to the significant decline in stock values due to investor concerns over interest rates and regulations.\")##\n(\"entity\"<|>\"Federal Reserve Policy Announcement\"<|>\"economic_policy\"<|>\"The Federal Reserve's upcoming policy announcement is expected to impact investor confidence and market stability.\")##\n(\"relationship\"<|>\"Global Tech Index\"<|>\"Market Selloff\"<|>\"The decline in the Global Tech Index is part of the broader market selloff driven by investor concerns.\"<|>\"market performance, investor sentiment\"<|>9)##\n(\"relationship\"<|>\"Nexon Technologies\"<|>\"Global Tech Index\"<|>\"Nexon Technologies' stock decline contributed to the overall drop in the Global Tech Index.\"<|>\"company impact, index movement\"<|>8)##\n(\"relationship\"<|>\"Gold Futures\"<|>\"Market Selloff\"<|>\"Gold prices rose as investors sought safe-haven assets during the market selloff.\"<|>\"market reaction, safe-haven investment\"<|>10)##\n(\"relationship\"<|>\"Federal Reserve Policy Announcement\"<|>\"Market Selloff\"<|>\"Speculation over Federal Reserve policy changes contributed to market volatility and investor selloff.\"<|>\"interest rate impact, financial regulation\"<|>7)##\n(\"content_keywords\"<|>\"market downturn, investor sentiment, commodities, Federal Reserve, stock performance\")<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [economic_policy, athlete, event, location, record, organization, equipment]\nText:\n```\nAt the World Athletics Championship in Tokyo, Noah Carter broke the 100m sprint record using cutting-edge carbon-fiber spikes.\n```\n\nOutput:\n(\"entity\"<|>\"World Athletics Championship\"<|>\"event\"<|>\"The World Athletics Championship is a global sports competition featuring top athletes in track and field.\")##\n(\"entity\"<|>\"Tokyo\"<|>\"location\"<|>\"Tokyo is the host city of the World Athletics Championship.\")##\n(\"entity\"<|>\"Noah Carter\"<|>\"athlete\"<|>\"Noah Carter is a sprinter who set a new record in the 100m sprint at the World Athletics Championship.\")##\n(\"entity\"<|>\"100m Sprint Record\"<|>\"record\"<|>\"The 100m sprint record is a benchmark in athletics, recently broken by Noah Carter.\")##\n(\"entity\"<|>\"Carbon-Fiber Spikes\"<|>\"equipment\"<|>\"Carbon-fiber spikes are advanced sprinting shoes that provide enhanced speed and traction.\")##\n(\"entity\"<|>\"World Athletics Federation\"<|>\"organization\"<|>\"The World Athletics Federation is the governing body overseeing the World Athletics Championship and record validations.\")##\n(\"relationship\"<|>\"World Athletics Championship\"<|>\"Tokyo\"<|>\"The World Athletics Championship is being hosted in Tokyo.\"<|>\"event location, international competition\"<|>8)##\n(\"relationship\"<|>\"Noah Carter\"<|>\"100m Sprint Record\"<|>\"Noah Carter set a new 100m sprint record at the championship.\"<|>\"athlete achievement, record-breaking\"<|>10)##\n(\"relationship\"<|>\"Noah Carter\"<|>\"Carbon-Fiber Spikes\"<|>\"Noah Carter used carbon-fiber spikes to enhance performance during the race.\"<|>\"athletic equipment, performance boost\"<|>7)##\n(\"relationship\"<|>\"World Athletics Federation\"<|>\"100m Sprint Record\"<|>\"The World Athletics Federation is responsible for validating and recognizing new sprint records.\"<|>\"sports regulation, record certification\"<|>9)##\n(\"content_keywords\"<|>\"athletics, sprinting, record-breaking, sports technology, competition\")<|COMPLETE|>\n#############################\n\n#############################\n---Real Data---\n######################\nEntity_types: [organization,person,geo,event,category]\nText:\n硝酸光照分解的方程式\n$$4HNO_{3}overset{overset{}{{Delta}}}{=}4NO_{2} uparrow + O_{2} uparrow + 2HO_{2}$$\n氧化铁与硝酸的加热反应方程式\n$$FeO + 4HNO_{3}overset{overset{}{{Delta}}}{=}Fe(NO_{3})_{3} + 2H_{2} uparrow + NO_{2} uparrow$$\n氢气与氧气燃烧的现象如下图所示：\n$$2H_{2} + O_{2}overset{overset{}{text{燃烧}}}{=}2H_{2}O$$\n![](./Images/c8c0221648af480699a364fd50cbbeb6/media/image1.png)\n######################\nOutput:" }, "9e3c646a642e6479570a8501ad112849": { "return": "(\"entity\"<|>\"Nitric Acid (HNO₃)\"<|>\"category\"<|>\"A strong mineral acid that undergoes photodecomposition when exposed to light, producing nitrogen dioxide, oxygen, and water.\")##\n(\"entity\"<|>\"Nitrogen Dioxide (NO₂)\"<|>\"category\"<|>\"A reddish-brown toxic gas produced as a byproduct in nitric acid decomposition and iron oxide reactions.\")##\n(\"entity\"<|>\"Oxygen (O₂)\"<|>\"category\"<|>\"A diatomic gas produced in nitric acid decomposition and consumed in hydrogen combustion.\")##\n(\"entity\"<|>\"Water (H₂O)\"<|>\"category\"<|>\"A compound formed in both nitric acid decomposition and hydrogen-oxygen combustion.\")##\n(\"entity\"<|>\"Iron Oxide (FeO)\"<|>\"category\"<|>\"A chemical compound that reacts with nitric acid to form iron nitrate, water, and nitrogen dioxide.\")##\n(\"entity\"<|>\"Iron Nitrate (Fe(NO₃)₃)\"<|>\"category\"<|>\"A product formed when iron oxide reacts with nitric acid under heat.\")##\n(\"entity\"<|>\"Hydrogen (H₂)\"<|>\"category\"<|>\"A flammable gas that combusts with oxygen to form water.\")##\n(\"entity\"<|>\"Combustion Reaction\"<|>\"event\"<|>\"The chemical process where hydrogen reacts with oxygen to produce water.\")##\n(\"entity\"<|>\"Photodecomposition\"<|>\"event\"<|>\"The chemical decomposition of nitric acid under light exposure.\")##\n(\"entity\"<|>\"Chemical Equation\"<|>\"category\"<|>\"The symbolic representation of chemical reactions described in the text.\")##\n(\"relationship\"<|>\"Nitric Acid (HNO₃)\"<|>\"Nitrogen Dioxide (NO₂)\"<|>\"Nitric acid decomposes to produce nitrogen dioxide as a primary byproduct.\"<|>\"chemical decomposition, byproduct formation\"<|>9)##\n(\"relationship\"<|>\"Nitric Acid (HNO₃)\"<|>\"Oxygen (O₂)\"<|>\"Nitric acid decomposition releases oxygen gas as a byproduct.\"<|>\"gas production, chemical reaction\"<|>8)##\n(\"relationship\"<|>\"Nitric Acid (HNO₃)\"<|>\"Water (H₂O)\"<|>\"Water is produced as a byproduct of nitric acid decomposition.\"<|>\"chemical byproduct, reaction output\"<|>7)##\n(\"relationship\"<|>\"Iron Oxide (FeO)\"<|>\"Nitric Acid (HNO₃)\"<|>\"Iron oxide reacts with nitric acid under heat to produce various compounds.\"<|>\"acid-base reaction, heat application\"<|>9)##\n(\"relationship\"<|>\"Iron Oxide (FeO)\"<|>\"Iron Nitrate (Fe(NO₃)₃)\"<|>\"Iron oxide is converted to iron nitrate through reaction with nitric acid.\"<|>\"chemical transformation, product formation\"<|>8)##\n(\"relationship\"<|>\"Iron Oxide (FeO)\"<|>\"Nitrogen Dioxide (NO₂)\"<|>\"Reaction between iron oxide and nitric acid produces nitrogen dioxide.\"<|>\"gas production, chemical reaction\"<|>7)##\n(\"relationship\"<|>\"Hydrogen (H₂)\"<|>\"Oxygen (O₂)\"<|>\"Hydrogen combusts with oxygen in a chemical reaction to produce water.\"<|>\"combustion, synthesis reaction\"<|>10)##\n(\"relationship\"<|>\"Hydrogen (H₂)\"<|>\"Water (H₂O)\"<|>\"Hydrogen is converted to water through combustion with oxygen.\"<|>\"product formation, chemical synthesis\"<|>9)##\n(\"relationship\"<|>\"Photodecomposition\"<|>\"Nitric Acid (HNO₃)\"<|>\"Photodecomposition is the process that breaks down nitric acid.\"<|>\"chemical process, decomposition\"<|>8)##\n(\"relationship\"<|>\"Combustion Reaction\"<|>\"Chemical Equation\"<|>\"The combustion reaction is represented by a chemical equation.\"<|>\"symbolic representation, chemical notation\"<|>7)##\n(\"content_keywords\"<|>\"chemical reactions, decomposition, combustion, acid-base reactions, chemical equations, gas production\")<|COMPLETE|>", "cache_type": "extract", "chunk_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", +>>>>>>> 402c9596e8417ab8a6aefc9985d04acf0169c786 "embedding": null, "embedding_shape": null, "embedding_min": null, "embedding_max": null, +<<<<<<< HEAD + "original_prompt": "氢气与氧气燃烧的现象?" + } + }, + "default": { + "189d0286a0db698c7425cf18baa69446": { + "return": "(\"entity\"<|>\"Nitric Acid\"<|>\"category\"<|>\"Nitric Acid (HNO₃) is a chemical compound involved in decomposition and reaction processes described in the text.\")##\n(\"entity\"<|>\"Nitrogen Dioxide\"<|>\"category\"<|>\"Nitrogen Dioxide (NO₂) is a gas produced in the decomposition of Nitric Acid and reactions involving Nitric Acid.\")##\n(\"entity\"<|>\"Oxygen\"<|>\"category\"<|>\"Oxygen (O₂) is a gas produced in the decomposition of Nitric Acid and involved in combustion reactions.\")##\n(\"entity\"<|>\"Iron Oxide\"<|>\"category\"<|>\"Iron Oxide (FeO) is a chemical compound that reacts with Nitric Acid to produce Iron Nitrate, Hydrogen, and Nitrogen Dioxide.\")##\n(\"entity\"<|>\"Iron Nitrate\"<|>\"category\"<|>\"Iron Nitrate (Fe(NO₃)₃) is a product of the reaction between Iron Oxide and Nitric Acid.\")##\n(\"entity\"<|>\"Hydrogen\"<|>\"category\"<|>\"Hydrogen (H₂) is a gas produced in the reaction between Iron Oxide and Nitric Acid and involved in combustion reactions.\")##\n(\"entity\"<|>\"Water\"<|>\"category\"<|>\"Water (H₂O) is a product of the combustion reaction between Hydrogen and Oxygen.\")##\n(\"relationship\"<|>\"Nitric Acid\"<|>\"Nitrogen Dioxide\"<|>\"Nitric Acid decomposes to produce Nitrogen Dioxide under light or heat.\"<|>\"chemical decomposition, gas production\"<|>9)##\n(\"relationship\"<|>\"Nitric Acid\"<|>\"Oxygen\"<|>\"Nitric Acid decomposes to produce Oxygen gas under light or heat.\"<|>\"chemical decomposition, gas production\"<|>8)##\n(\"relationship\"<|>\"Iron Oxide\"<|>\"Nitric Acid\"<|>\"Iron Oxide reacts with Nitric Acid to produce Iron Nitrate, Hydrogen, and Nitrogen Dioxide.\"<|>\"chemical reaction, acid-base interaction\"<|>10)##\n(\"relationship\"<|>\"Hydrogen\"<|>\"Oxygen\"<|>\"Hydrogen combusts with Oxygen to produce Water.\"<|>\"combustion reaction, energy release\"<|>9)##\n(\"content_keywords\"<|>\"chemical reactions, decomposition, combustion, acid-base interactions\")<|COMPLETE|>", + "cache_type": "extract", + "chunk_id": "chunk-c944b40c845357549a25762357eaddc7", +======= "original_prompt": "[{\"role\": \"user\", \"content\": \"---Goal---\\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\\nUse English as output language.\\n\\n---Steps---\\n1. Identify all entities. For each identified entity, extract the following information:\\n- entity_name: Name of the entity, use same language as input text. If English, capitalized the name.\\n- entity_type: One of the following types: [organization,person,geo,event,category]\\n- entity_description: Comprehensive description of the entity's attributes and activities\\nFormat each entity as (\\\"entity\\\"<|><|><|>)\\n\\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\\nFor each pair of related entities, extract the following information:\\n- source_entity: name of the source entity, as identified in step 1\\n- target_entity: name of the target entity, as identified in step 1\\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\\n- relationship_keywords: one or more high-level key words that summarize the overarching nature of the relationship, focusing on concepts or themes rather than specific details\\nFormat each relationship as (\\\"relationship\\\"<|><|><|><|><|>)\\n\\n3. Identify high-level key words that summarize the main concepts, themes, or topics of the entire text. These should capture the overarching ideas present in the document.\\nFormat the content-level key words as (\\\"content_keywords\\\"<|>)\\n\\n4. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\\n\\n5. When finished, output <|COMPLETE|>\\n\\n######################\\n---Examples---\\n######################\\nExample 1:\\n\\nEntity_types: [person, technology, mission, organization, location]\\nText:\\n```\\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\\n\\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \\\"If this tech can be understood...\\\" Taylor said, their voice quieter, \\\"It could change the game for us. For all of us.\\\"\\n\\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\\n\\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\\n```\\n\\nOutput:\\n(\\\"entity\\\"<|>\\\"Alex\\\"<|>\\\"person\\\"<|>\\\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\\\")##\\n(\\\"entity\\\"<|>\\\"Taylor\\\"<|>\\\"person\\\"<|>\\\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\\\")##\\n(\\\"entity\\\"<|>\\\"Jordan\\\"<|>\\\"person\\\"<|>\\\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\\\")##\\n(\\\"entity\\\"<|>\\\"Cruz\\\"<|>\\\"person\\\"<|>\\\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\\\")##\\n(\\\"entity\\\"<|>\\\"The Device\\\"<|>\\\"technology\\\"<|>\\\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\\\")##\\n(\\\"relationship\\\"<|>\\\"Alex\\\"<|>\\\"Taylor\\\"<|>\\\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\\\"<|>\\\"power dynamics, perspective shift\\\"<|>7)##\\n(\\\"relationship\\\"<|>\\\"Alex\\\"<|>\\\"Jordan\\\"<|>\\\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\\\"<|>\\\"shared goals, rebellion\\\"<|>6)##\\n(\\\"relationship\\\"<|>\\\"Taylor\\\"<|>\\\"Jordan\\\"<|>\\\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\\\"<|>\\\"conflict resolution, mutual respect\\\"<|>8)##\\n(\\\"relationship\\\"<|>\\\"Jordan\\\"<|>\\\"Cruz\\\"<|>\\\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\\\"<|>\\\"ideological conflict, rebellion\\\"<|>5)##\\n(\\\"relationship\\\"<|>\\\"Taylor\\\"<|>\\\"The Device\\\"<|>\\\"Taylor shows reverence towards the device, indicating its importance and potential impact.\\\"<|>\\\"reverence, technological significance\\\"<|>9)##\\n(\\\"content_keywords\\\"<|>\\\"power dynamics, ideological conflict, discovery, rebellion\\\")<|COMPLETE|>\\n#############################\\nExample 2:\\n\\nEntity_types: [company, index, commodity, market_trend, economic_policy, biological]\\nText:\\n```\\nStock markets faced a sharp downturn today as tech giants saw significant declines, with the Global Tech Index dropping by 3.4% in midday trading. Analysts attribute the selloff to investor concerns over rising interest rates and regulatory uncertainty.\\n\\nAmong the hardest hit, Nexon Technologies saw its stock plummet by 7.8% after reporting lower-than-expected quarterly earnings. In contrast, Omega Energy posted a modest 2.1% gain, driven by rising oil prices.\\n\\nMeanwhile, commodity markets reflected a mixed sentiment. Gold futures rose by 1.5%, reaching $2,080 per ounce, as investors sought safe-haven assets. Crude oil prices continued their rally, climbing to $87.60 per barrel, supported by supply constraints and strong demand.\\n\\nFinancial experts are closely watching the Federal Reserve's next move, as speculation grows over potential rate hikes. The upcoming policy announcement is expected to influence investor confidence and overall market stability.\\n```\\n\\nOutput:\\n(\\\"entity\\\"<|>\\\"Global Tech Index\\\"<|>\\\"index\\\"<|>\\\"The Global Tech Index tracks the performance of major technology stocks and experienced a 3.4% decline today.\\\")##\\n(\\\"entity\\\"<|>\\\"Nexon Technologies\\\"<|>\\\"company\\\"<|>\\\"Nexon Technologies is a tech company that saw its stock decline by 7.8% after disappointing earnings.\\\")##\\n(\\\"entity\\\"<|>\\\"Omega Energy\\\"<|>\\\"company\\\"<|>\\\"Omega Energy is an energy company that gained 2.1% in stock value due to rising oil prices.\\\")##\\n(\\\"entity\\\"<|>\\\"Gold Futures\\\"<|>\\\"commodity\\\"<|>\\\"Gold futures rose by 1.5%, indicating increased investor interest in safe-haven assets.\\\")##\\n(\\\"entity\\\"<|>\\\"Crude Oil\\\"<|>\\\"commodity\\\"<|>\\\"Crude oil prices rose to $87.60 per barrel due to supply constraints and strong demand.\\\")##\\n(\\\"entity\\\"<|>\\\"Market Selloff\\\"<|>\\\"market_trend\\\"<|>\\\"Market selloff refers to the significant decline in stock values due to investor concerns over interest rates and regulations.\\\")##\\n(\\\"entity\\\"<|>\\\"Federal Reserve Policy Announcement\\\"<|>\\\"economic_policy\\\"<|>\\\"The Federal Reserve's upcoming policy announcement is expected to impact investor confidence and market stability.\\\")##\\n(\\\"relationship\\\"<|>\\\"Global Tech Index\\\"<|>\\\"Market Selloff\\\"<|>\\\"The decline in the Global Tech Index is part of the broader market selloff driven by investor concerns.\\\"<|>\\\"market performance, investor sentiment\\\"<|>9)##\\n(\\\"relationship\\\"<|>\\\"Nexon Technologies\\\"<|>\\\"Global Tech Index\\\"<|>\\\"Nexon Technologies' stock decline contributed to the overall drop in the Global Tech Index.\\\"<|>\\\"company impact, index movement\\\"<|>8)##\\n(\\\"relationship\\\"<|>\\\"Gold Futures\\\"<|>\\\"Market Selloff\\\"<|>\\\"Gold prices rose as investors sought safe-haven assets during the market selloff.\\\"<|>\\\"market reaction, safe-haven investment\\\"<|>10)##\\n(\\\"relationship\\\"<|>\\\"Federal Reserve Policy Announcement\\\"<|>\\\"Market Selloff\\\"<|>\\\"Speculation over Federal Reserve policy changes contributed to market volatility and investor selloff.\\\"<|>\\\"interest rate impact, financial regulation\\\"<|>7)##\\n(\\\"content_keywords\\\"<|>\\\"market downturn, investor sentiment, commodities, Federal Reserve, stock performance\\\")<|COMPLETE|>\\n#############################\\nExample 3:\\n\\nEntity_types: [economic_policy, athlete, event, location, record, organization, equipment]\\nText:\\n```\\nAt the World Athletics Championship in Tokyo, Noah Carter broke the 100m sprint record using cutting-edge carbon-fiber spikes.\\n```\\n\\nOutput:\\n(\\\"entity\\\"<|>\\\"World Athletics Championship\\\"<|>\\\"event\\\"<|>\\\"The World Athletics Championship is a global sports competition featuring top athletes in track and field.\\\")##\\n(\\\"entity\\\"<|>\\\"Tokyo\\\"<|>\\\"location\\\"<|>\\\"Tokyo is the host city of the World Athletics Championship.\\\")##\\n(\\\"entity\\\"<|>\\\"Noah Carter\\\"<|>\\\"athlete\\\"<|>\\\"Noah Carter is a sprinter who set a new record in the 100m sprint at the World Athletics Championship.\\\")##\\n(\\\"entity\\\"<|>\\\"100m Sprint Record\\\"<|>\\\"record\\\"<|>\\\"The 100m sprint record is a benchmark in athletics, recently broken by Noah Carter.\\\")##\\n(\\\"entity\\\"<|>\\\"Carbon-Fiber Spikes\\\"<|>\\\"equipment\\\"<|>\\\"Carbon-fiber spikes are advanced sprinting shoes that provide enhanced speed and traction.\\\")##\\n(\\\"entity\\\"<|>\\\"World Athletics Federation\\\"<|>\\\"organization\\\"<|>\\\"The World Athletics Federation is the governing body overseeing the World Athletics Championship and record validations.\\\")##\\n(\\\"relationship\\\"<|>\\\"World Athletics Championship\\\"<|>\\\"Tokyo\\\"<|>\\\"The World Athletics Championship is being hosted in Tokyo.\\\"<|>\\\"event location, international competition\\\"<|>8)##\\n(\\\"relationship\\\"<|>\\\"Noah Carter\\\"<|>\\\"100m Sprint Record\\\"<|>\\\"Noah Carter set a new 100m sprint record at the championship.\\\"<|>\\\"athlete achievement, record-breaking\\\"<|>10)##\\n(\\\"relationship\\\"<|>\\\"Noah Carter\\\"<|>\\\"Carbon-Fiber Spikes\\\"<|>\\\"Noah Carter used carbon-fiber spikes to enhance performance during the race.\\\"<|>\\\"athletic equipment, performance boost\\\"<|>7)##\\n(\\\"relationship\\\"<|>\\\"World Athletics Federation\\\"<|>\\\"100m Sprint Record\\\"<|>\\\"The World Athletics Federation is responsible for validating and recognizing new sprint records.\\\"<|>\\\"sports regulation, record certification\\\"<|>9)##\\n(\\\"content_keywords\\\"<|>\\\"athletics, sprinting, record-breaking, sports technology, competition\\\")<|COMPLETE|>\\n#############################\\n\\n#############################\\n---Real Data---\\n######################\\nEntity_types: [organization,person,geo,event,category]\\nText:\\n硝酸光照分解的方程式\\n$$4HNO_{3}overset{overset{}{{Delta}}}{=}4NO_{2} uparrow + O_{2} uparrow + 2HO_{2}$$\\n氧化铁与硝酸的加热反应方程式\\n$$FeO + 4HNO_{3}overset{overset{}{{Delta}}}{=}Fe(NO_{3})_{3} + 2H_{2} uparrow + NO_{2} uparrow$$\\n氢气与氧气燃烧的现象如下图所示：\\n$$2H_{2} + O_{2}overset{overset{}{text{燃烧}}}{=}2H_{2}O$$\\n![](./Images/c8c0221648af480699a364fd50cbbeb6/media/image1.png)\\n######################\\nOutput:\"}, {\"role\": \"assistant\", \"content\": \"(\\\"entity\\\"<|>\\\"Nitric Acid\\\"<|>\\\"category\\\"<|>\\\"Nitric acid (HNO₃) is a chemical compound involved in photodecomposition and reactions with iron oxide.\\\")##\\n(\\\"entity\\\"<|>\\\"Iron Oxide\\\"<|>\\\"category\\\"<|>\\\"Iron oxide (FeO) is a chemical compound that reacts with nitric acid under heat to produce iron nitrate, water, and nitrogen dioxide.\\\")##\\n(\\\"entity\\\"<|>\\\"Hydrogen\\\"<|>\\\"category\\\"<|>\\\"Hydrogen (H₂) is a chemical element that combusts with oxygen to form water.\\\")##\\n(\\\"entity\\\"<|>\\\"Oxygen\\\"<|>\\\"category\\\"<|>\\\"Oxygen (O₂) is a chemical element involved in combustion reactions with hydrogen.\\\")##\\n(\\\"entity\\\"<|>\\\"Water\\\"<|>\\\"category\\\"<|>\\\"Water (H₂O) is the product of the combustion reaction between hydrogen and oxygen.\\\")##\\n(\\\"entity\\\"<|>\\\"Nitrogen Dioxide\\\"<|>\\\"category\\\"<|>\\\"Nitrogen dioxide (NO₂) is a byproduct of the decomposition of nitric acid and the reaction between iron oxide and nitric acid.\\\")##\\n(\\\"entity\\\"<|>\\\"Iron Nitrate\\\"<|>\\\"category\\\"<|>\\\"Iron nitrate (Fe(NO₃)₃) is a product of the reaction between iron oxide and nitric acid.\\\")##\\n(\\\"relationship\\\"<|>\\\"Nitric Acid\\\"<|>\\\"Nitrogen Dioxide\\\"<|>\\\"Nitric acid decomposes under light to produce nitrogen dioxide, oxygen, and water.\\\"<|>\\\"chemical decomposition, byproducts\\\"<|>8)##\\n(\\\"relationship\\\"<|>\\\"Iron Oxide\\\"<|>\\\"Nitric Acid\\\"<|>\\\"Iron oxide reacts with nitric acid under heat to produce iron nitrate, water, and nitrogen dioxide.\\\"<|>\\\"chemical reaction, heat application\\\"<|>9)##\\n(\\\"relationship\\\"<|>\\\"Hydrogen\\\"<|>\\\"Oxygen\\\"<|>\\\"Hydrogen combusts with oxygen to form water.\\\"<|>\\\"combustion reaction, synthesis\\\"<|>10)##\\n(\\\"relationship\\\"<|>\\\"Iron Oxide\\\"<|>\\\"Iron Nitrate\\\"<|>\\\"Iron oxide is converted into iron nitrate through its reaction with nitric acid.\\\"<|>\\\"chemical transformation, product formation\\\"<|>7)##\\n(\\\"content_keywords\\\"<|>\\\"chemical reactions, decomposition, combustion, synthesis, chemical compounds\\\")<|COMPLETE|>\"}]\nMANY entities and relationships were missed in the last extraction.\n\n---Remember Steps---\n\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, use same language as input text. If English, capitalized the name.\n- entity_type: One of the following types: [organization,person,geo,event,category]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><|><|>)\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n- relationship_keywords: one or more high-level key words that summarize the overarching nature of the relationship, focusing on concepts or themes rather than specific details\nFormat each relationship as (\"relationship\"<|><|><|><|><|>)\n\n3. Identify high-level key words that summarize the main concepts, themes, or topics of the entire text. These should capture the overarching ideas present in the document.\nFormat the content-level key words as (\"content_keywords\"<|>)\n\n4. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n5. When finished, output <|COMPLETE|>\n\n---Output---\n\nAdd them below using the same format:" } }, @@ -46,21 +87,35 @@ "return": "{\"high_level_keywords\": [\"\\u5316\\u5b66\\u53cd\\u5e94\", \"\\u71c3\\u70e7\\u73b0\\u8c61\"], \"low_level_keywords\": [\"\\u6c22\\u6c14\", \"\\u6c27\\u6c14\", \"\\u706b\\u7130\", \"\\u6c34\\u84b8\\u6c14\", \"\\u653e\\u70ed\\u53cd\\u5e94\"]}", "cache_type": "keywords", "chunk_id": null, +>>>>>>> 402c9596e8417ab8a6aefc9985d04acf0169c786 "embedding": null, "embedding_shape": null, "embedding_min": null, "embedding_max": null, +<<<<<<< HEAD + "original_prompt": "---Goal---\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\nUse English as output language.\n\n---Steps---\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, use same language as input text. If English, capitalized the name.\n- entity_type: One of the following types: [organization,person,geo,event,category]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><|><|>)\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n- relationship_keywords: one or more high-level key words that summarize the overarching nature of the relationship, focusing on concepts or themes rather than specific details\nFormat each relationship as (\"relationship\"<|><|><|><|><|>)\n\n3. Identify high-level key words that summarize the main concepts, themes, or topics of the entire text. These should capture the overarching ideas present in the document.\nFormat the content-level key words as (\"content_keywords\"<|>)\n\n4. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n5. When finished, output <|COMPLETE|>\n\n######################\n---Examples---\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\n```\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \"If this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\"\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n```\n\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>\"power dynamics, perspective shift\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>\"shared goals, rebellion\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>\"conflict resolution, mutual respect\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>\"ideological conflict, rebellion\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>\"reverence, technological significance\"<|>9)##\n(\"content_keywords\"<|>\"power dynamics, ideological conflict, discovery, rebellion\")<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [company, index, commodity, market_trend, economic_policy, biological]\nText:\n```\nStock markets faced a sharp downturn today as tech giants saw significant declines, with the Global Tech Index dropping by 3.4% in midday trading. Analysts attribute the selloff to investor concerns over rising interest rates and regulatory uncertainty.\n\nAmong the hardest hit, Nexon Technologies saw its stock plummet by 7.8% after reporting lower-than-expected quarterly earnings. In contrast, Omega Energy posted a modest 2.1% gain, driven by rising oil prices.\n\nMeanwhile, commodity markets reflected a mixed sentiment. Gold futures rose by 1.5%, reaching $2,080 per ounce, as investors sought safe-haven assets. Crude oil prices continued their rally, climbing to $87.60 per barrel, supported by supply constraints and strong demand.\n\nFinancial experts are closely watching the Federal Reserve's next move, as speculation grows over potential rate hikes. The upcoming policy announcement is expected to influence investor confidence and overall market stability.\n```\n\nOutput:\n(\"entity\"<|>\"Global Tech Index\"<|>\"index\"<|>\"The Global Tech Index tracks the performance of major technology stocks and experienced a 3.4% decline today.\")##\n(\"entity\"<|>\"Nexon Technologies\"<|>\"company\"<|>\"Nexon Technologies is a tech company that saw its stock decline by 7.8% after disappointing earnings.\")##\n(\"entity\"<|>\"Omega Energy\"<|>\"company\"<|>\"Omega Energy is an energy company that gained 2.1% in stock value due to rising oil prices.\")##\n(\"entity\"<|>\"Gold Futures\"<|>\"commodity\"<|>\"Gold futures rose by 1.5%, indicating increased investor interest in safe-haven assets.\")##\n(\"entity\"<|>\"Crude Oil\"<|>\"commodity\"<|>\"Crude oil prices rose to $87.60 per barrel due to supply constraints and strong demand.\")##\n(\"entity\"<|>\"Market Selloff\"<|>\"market_trend\"<|>\"Market selloff refers to the significant decline in stock values due to investor concerns over interest rates and regulations.\")##\n(\"entity\"<|>\"Federal Reserve Policy Announcement\"<|>\"economic_policy\"<|>\"The Federal Reserve's upcoming policy announcement is expected to impact investor confidence and market stability.\")##\n(\"relationship\"<|>\"Global Tech Index\"<|>\"Market Selloff\"<|>\"The decline in the Global Tech Index is part of the broader market selloff driven by investor concerns.\"<|>\"market performance, investor sentiment\"<|>9)##\n(\"relationship\"<|>\"Nexon Technologies\"<|>\"Global Tech Index\"<|>\"Nexon Technologies' stock decline contributed to the overall drop in the Global Tech Index.\"<|>\"company impact, index movement\"<|>8)##\n(\"relationship\"<|>\"Gold Futures\"<|>\"Market Selloff\"<|>\"Gold prices rose as investors sought safe-haven assets during the market selloff.\"<|>\"market reaction, safe-haven investment\"<|>10)##\n(\"relationship\"<|>\"Federal Reserve Policy Announcement\"<|>\"Market Selloff\"<|>\"Speculation over Federal Reserve policy changes contributed to market volatility and investor selloff.\"<|>\"interest rate impact, financial regulation\"<|>7)##\n(\"content_keywords\"<|>\"market downturn, investor sentiment, commodities, Federal Reserve, stock performance\")<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [economic_policy, athlete, event, location, record, organization, equipment]\nText:\n```\nAt the World Athletics Championship in Tokyo, Noah Carter broke the 100m sprint record using cutting-edge carbon-fiber spikes.\n```\n\nOutput:\n(\"entity\"<|>\"World Athletics Championship\"<|>\"event\"<|>\"The World Athletics Championship is a global sports competition featuring top athletes in track and field.\")##\n(\"entity\"<|>\"Tokyo\"<|>\"location\"<|>\"Tokyo is the host city of the World Athletics Championship.\")##\n(\"entity\"<|>\"Noah Carter\"<|>\"athlete\"<|>\"Noah Carter is a sprinter who set a new record in the 100m sprint at the World Athletics Championship.\")##\n(\"entity\"<|>\"100m Sprint Record\"<|>\"record\"<|>\"The 100m sprint record is a benchmark in athletics, recently broken by Noah Carter.\")##\n(\"entity\"<|>\"Carbon-Fiber Spikes\"<|>\"equipment\"<|>\"Carbon-fiber spikes are advanced sprinting shoes that provide enhanced speed and traction.\")##\n(\"entity\"<|>\"World Athletics Federation\"<|>\"organization\"<|>\"The World Athletics Federation is the governing body overseeing the World Athletics Championship and record validations.\")##\n(\"relationship\"<|>\"World Athletics Championship\"<|>\"Tokyo\"<|>\"The World Athletics Championship is being hosted in Tokyo.\"<|>\"event location, international competition\"<|>8)##\n(\"relationship\"<|>\"Noah Carter\"<|>\"100m Sprint Record\"<|>\"Noah Carter set a new 100m sprint record at the championship.\"<|>\"athlete achievement, record-breaking\"<|>10)##\n(\"relationship\"<|>\"Noah Carter\"<|>\"Carbon-Fiber Spikes\"<|>\"Noah Carter used carbon-fiber spikes to enhance performance during the race.\"<|>\"athletic equipment, performance boost\"<|>7)##\n(\"relationship\"<|>\"World Athletics Federation\"<|>\"100m Sprint Record\"<|>\"The World Athletics Federation is responsible for validating and recognizing new sprint records.\"<|>\"sports regulation, record certification\"<|>9)##\n(\"content_keywords\"<|>\"athletics, sprinting, record-breaking, sports technology, competition\")<|COMPLETE|>\n#############################\n\n#############################\n---Real Data---\n######################\nEntity_types: [organization,person,geo,event,category]\nText:\n硝酸光照分解的方程式\n$$4HNO_{3}overset{overset{}{{Delta}}}{=}4NO_{2} uparrow + O_{2} uparrow + 2HO_{2}$$\n氧化铁与硝酸的加热反应方程式\n$$FeO + 4HNO_{3}overset{overset{}{{Delta}}}{=}Fe(NO_{3})_{3} + 2H_{2} uparrow + NO_{2} uparrow$$\n氢气与氧气燃烧的现象如下图所示：\n$$2H_{2} + O_{2}overset{overset{}{text{燃烧}}}{=}2H_{2}O$$\n![](./Images/554076793cbb4ac7a6baa38782527b22/media/image1.png)\n######################\nOutput:" + }, + "eaef721f4db26f28a5e9abde63b798e5": { + "return": "(\"entity\"<|>\"Nitric Acid (HNO₃)\"<|>\"category\"<|>\"A strong mineral acid involved in decomposition and redox reactions, producing nitrogen dioxide and oxygen when exposed to light or heat.\")##\n(\"entity\"<|>\"Nitrogen Dioxide (NO₂)\"<|>\"category\"<|>\"A reddish-brown gas produced as a byproduct in nitric acid decomposition and iron oxide reactions.\")##\n(\"entity\"<|>\"Oxygen (O₂)\"<|>\"category\"<|>\"A diatomic gas produced in nitric acid decomposition and consumed in hydrogen combustion.\")##\n(\"entity\"<|>\"Iron Oxide (FeO)\"<|>\"category\"<|>\"A chemical compound that reacts with nitric acid to form iron nitrate, hydrogen gas, and nitrogen dioxide.\")##\n(\"entity\"<|>\"Iron Nitrate (Fe(NO₃)₃)\"<|>\"category\"<|>\"The product formed when iron oxide reacts with nitric acid under heating conditions.\")##\n(\"entity\"<|>\"Hydrogen (H₂)\"<|>\"category\"<|>\"A flammable gas produced in iron oxide-nitric acid reactions and consumed in combustion with oxygen.\")##\n(\"entity\"<|>\"Water (H₂O)\"<|>\"category\"<|>\"The product of hydrogen combustion, formed when hydrogen reacts with oxygen.\")##\n(\"entity\"<|>\"Light/Heat (Δ)\"<|>\"category\"<|>\"The energy input required for nitric acid decomposition and iron oxide reactions.\")##\n(\"entity\"<|>\"Combustion\"<|>\"event\"<|>\"A high-temperature exothermic reaction between hydrogen and oxygen producing water.\")##\n(\"relationship\"<|>\"Nitric Acid (HNO₃)\"<|>\"Light/Heat (Δ)\"<|>\"Nitric acid requires light or heat energy to decompose into nitrogen dioxide and oxygen.\"<|>\"energy requirement, reaction condition\"<|>9)##\n(\"relationship\"<|>\"Nitric Acid (HNO₃)\"<|>\"Nitrogen Dioxide (NO₂)\"<|>\"Nitric acid decomposition produces nitrogen dioxide as a primary product.\"<|>\"chemical decomposition, gas production\"<|>10)##\n(\"relationship\"<|>\"Nitric Acid (HNO₃)\"<|>\"Oxygen (O₂)\"<|>\"Nitric acid decomposition yields oxygen gas as a byproduct.\"<|>\"redox reaction, gas evolution\"<|>9)##\n(\"relationship\"<|>\"Iron Oxide (FeO)\"<|>\"Nitric Acid (HNO₃)\"<|>\"Iron oxide reacts with nitric acid under heating conditions to produce multiple compounds.\"<|>\"acid-base reaction, redox process\"<|>10)##\n(\"relationship\"<|>\"Iron Oxide (FeO)\"<|>\"Iron Nitrate (Fe(NO₃)₃)\"<|>\"Iron oxide transforms into iron nitrate through reaction with nitric acid.\"<|>\"chemical transformation, salt formation\"<|>9)##\n(\"relationship\"<|>\"Iron Oxide (FeO)\"<|>\"Hydrogen (H₂)\"<|>\"The reaction between iron oxide and nitric acid produces hydrogen gas.\"<|>\"gas production, redox byproduct\"<|>8)##\n(\"relationship\"<|>\"Hydrogen (H₂)\"<|>\"Oxygen (O₂)\"<|>\"Hydrogen combusts with oxygen in an exothermic reaction to form water.\"<|>\"combustion, energy release\"<|>10)##\n(\"relationship\"<|>\"Hydrogen (H₂)\"<|>\"Combustion\"<|>\"Hydrogen participates as a fuel in the combustion event.\"<|>\"reactive component, exothermic process\"<|>9)##\n(\"relationship\"<|>\"Oxygen (O₂)\"<|>\"Combustion\"<|>\"Oxygen acts as the oxidizer in the hydrogen combustion event.\"<|>\"oxidation, reaction partner\"<|>9)##\n(\"content_keywords\"<|>\"chemical reactions, acid decomposition, redox processes, gas production, combustion chemistry\")<|COMPLETE|>", + "cache_type": "extract", + "chunk_id": "chunk-c944b40c845357549a25762357eaddc7", +======= "original_prompt": "氢气与氧气燃烧的现象" }, "d76baeceecdfd9ed35f72d4f94537986": { "return": "{\"high_level_keywords\": [\"\\u6c22\\u6c14\\u71c3\\u70e7\", \"\\u6c27\\u6c14\\u53cd\\u5e94\", \"\\u5316\\u5b66\\u53cd\\u5e94\\u73b0\\u8c61\"], \"low_level_keywords\": [\"\\u706b\\u7130\", \"\\u6c34\\u751f\\u6210\", \"\\u7206\\u70b8\\u6781\\u9650\", \"\\u653e\\u70ed\\u53cd\\u5e94\", \"\\u5316\\u5b66\\u65b9\\u7a0b\\u5f0f\"]}", "cache_type": "keywords", "chunk_id": null, +>>>>>>> 402c9596e8417ab8a6aefc9985d04acf0169c786 "embedding": null, "embedding_shape": null, "embedding_min": null, "embedding_max": null, +<<<<<<< HEAD + "original_prompt": "[{\"role\": \"user\", \"content\": \"---Goal---\\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\\nUse English as output language.\\n\\n---Steps---\\n1. Identify all entities. For each identified entity, extract the following information:\\n- entity_name: Name of the entity, use same language as input text. If English, capitalized the name.\\n- entity_type: One of the following types: [organization,person,geo,event,category]\\n- entity_description: Comprehensive description of the entity's attributes and activities\\nFormat each entity as (\\\"entity\\\"<|><|><|>)\\n\\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\\nFor each pair of related entities, extract the following information:\\n- source_entity: name of the source entity, as identified in step 1\\n- target_entity: name of the target entity, as identified in step 1\\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\\n- relationship_keywords: one or more high-level key words that summarize the overarching nature of the relationship, focusing on concepts or themes rather than specific details\\nFormat each relationship as (\\\"relationship\\\"<|><|><|><|><|>)\\n\\n3. Identify high-level key words that summarize the main concepts, themes, or topics of the entire text. These should capture the overarching ideas present in the document.\\nFormat the content-level key words as (\\\"content_keywords\\\"<|>)\\n\\n4. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\\n\\n5. When finished, output <|COMPLETE|>\\n\\n######################\\n---Examples---\\n######################\\nExample 1:\\n\\nEntity_types: [person, technology, mission, organization, location]\\nText:\\n```\\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\\n\\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \\\"If this tech can be understood...\\\" Taylor said, their voice quieter, \\\"It could change the game for us. For all of us.\\\"\\n\\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\\n\\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\\n```\\n\\nOutput:\\n(\\\"entity\\\"<|>\\\"Alex\\\"<|>\\\"person\\\"<|>\\\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\\\")##\\n(\\\"entity\\\"<|>\\\"Taylor\\\"<|>\\\"person\\\"<|>\\\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\\\")##\\n(\\\"entity\\\"<|>\\\"Jordan\\\"<|>\\\"person\\\"<|>\\\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\\\")##\\n(\\\"entity\\\"<|>\\\"Cruz\\\"<|>\\\"person\\\"<|>\\\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\\\")##\\n(\\\"entity\\\"<|>\\\"The Device\\\"<|>\\\"technology\\\"<|>\\\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\\\")##\\n(\\\"relationship\\\"<|>\\\"Alex\\\"<|>\\\"Taylor\\\"<|>\\\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\\\"<|>\\\"power dynamics, perspective shift\\\"<|>7)##\\n(\\\"relationship\\\"<|>\\\"Alex\\\"<|>\\\"Jordan\\\"<|>\\\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\\\"<|>\\\"shared goals, rebellion\\\"<|>6)##\\n(\\\"relationship\\\"<|>\\\"Taylor\\\"<|>\\\"Jordan\\\"<|>\\\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\\\"<|>\\\"conflict resolution, mutual respect\\\"<|>8)##\\n(\\\"relationship\\\"<|>\\\"Jordan\\\"<|>\\\"Cruz\\\"<|>\\\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\\\"<|>\\\"ideological conflict, rebellion\\\"<|>5)##\\n(\\\"relationship\\\"<|>\\\"Taylor\\\"<|>\\\"The Device\\\"<|>\\\"Taylor shows reverence towards the device, indicating its importance and potential impact.\\\"<|>\\\"reverence, technological significance\\\"<|>9)##\\n(\\\"content_keywords\\\"<|>\\\"power dynamics, ideological conflict, discovery, rebellion\\\")<|COMPLETE|>\\n#############################\\nExample 2:\\n\\nEntity_types: [company, index, commodity, market_trend, economic_policy, biological]\\nText:\\n```\\nStock markets faced a sharp downturn today as tech giants saw significant declines, with the Global Tech Index dropping by 3.4% in midday trading. Analysts attribute the selloff to investor concerns over rising interest rates and regulatory uncertainty.\\n\\nAmong the hardest hit, Nexon Technologies saw its stock plummet by 7.8% after reporting lower-than-expected quarterly earnings. In contrast, Omega Energy posted a modest 2.1% gain, driven by rising oil prices.\\n\\nMeanwhile, commodity markets reflected a mixed sentiment. Gold futures rose by 1.5%, reaching $2,080 per ounce, as investors sought safe-haven assets. Crude oil prices continued their rally, climbing to $87.60 per barrel, supported by supply constraints and strong demand.\\n\\nFinancial experts are closely watching the Federal Reserve's next move, as speculation grows over potential rate hikes. The upcoming policy announcement is expected to influence investor confidence and overall market stability.\\n```\\n\\nOutput:\\n(\\\"entity\\\"<|>\\\"Global Tech Index\\\"<|>\\\"index\\\"<|>\\\"The Global Tech Index tracks the performance of major technology stocks and experienced a 3.4% decline today.\\\")##\\n(\\\"entity\\\"<|>\\\"Nexon Technologies\\\"<|>\\\"company\\\"<|>\\\"Nexon Technologies is a tech company that saw its stock decline by 7.8% after disappointing earnings.\\\")##\\n(\\\"entity\\\"<|>\\\"Omega Energy\\\"<|>\\\"company\\\"<|>\\\"Omega Energy is an energy company that gained 2.1% in stock value due to rising oil prices.\\\")##\\n(\\\"entity\\\"<|>\\\"Gold Futures\\\"<|>\\\"commodity\\\"<|>\\\"Gold futures rose by 1.5%, indicating increased investor interest in safe-haven assets.\\\")##\\n(\\\"entity\\\"<|>\\\"Crude Oil\\\"<|>\\\"commodity\\\"<|>\\\"Crude oil prices rose to $87.60 per barrel due to supply constraints and strong demand.\\\")##\\n(\\\"entity\\\"<|>\\\"Market Selloff\\\"<|>\\\"market_trend\\\"<|>\\\"Market selloff refers to the significant decline in stock values due to investor concerns over interest rates and regulations.\\\")##\\n(\\\"entity\\\"<|>\\\"Federal Reserve Policy Announcement\\\"<|>\\\"economic_policy\\\"<|>\\\"The Federal Reserve's upcoming policy announcement is expected to impact investor confidence and market stability.\\\")##\\n(\\\"relationship\\\"<|>\\\"Global Tech Index\\\"<|>\\\"Market Selloff\\\"<|>\\\"The decline in the Global Tech Index is part of the broader market selloff driven by investor concerns.\\\"<|>\\\"market performance, investor sentiment\\\"<|>9)##\\n(\\\"relationship\\\"<|>\\\"Nexon Technologies\\\"<|>\\\"Global Tech Index\\\"<|>\\\"Nexon Technologies' stock decline contributed to the overall drop in the Global Tech Index.\\\"<|>\\\"company impact, index movement\\\"<|>8)##\\n(\\\"relationship\\\"<|>\\\"Gold Futures\\\"<|>\\\"Market Selloff\\\"<|>\\\"Gold prices rose as investors sought safe-haven assets during the market selloff.\\\"<|>\\\"market reaction, safe-haven investment\\\"<|>10)##\\n(\\\"relationship\\\"<|>\\\"Federal Reserve Policy Announcement\\\"<|>\\\"Market Selloff\\\"<|>\\\"Speculation over Federal Reserve policy changes contributed to market volatility and investor selloff.\\\"<|>\\\"interest rate impact, financial regulation\\\"<|>7)##\\n(\\\"content_keywords\\\"<|>\\\"market downturn, investor sentiment, commodities, Federal Reserve, stock performance\\\")<|COMPLETE|>\\n#############################\\nExample 3:\\n\\nEntity_types: [economic_policy, athlete, event, location, record, organization, equipment]\\nText:\\n```\\nAt the World Athletics Championship in Tokyo, Noah Carter broke the 100m sprint record using cutting-edge carbon-fiber spikes.\\n```\\n\\nOutput:\\n(\\\"entity\\\"<|>\\\"World Athletics Championship\\\"<|>\\\"event\\\"<|>\\\"The World Athletics Championship is a global sports competition featuring top athletes in track and field.\\\")##\\n(\\\"entity\\\"<|>\\\"Tokyo\\\"<|>\\\"location\\\"<|>\\\"Tokyo is the host city of the World Athletics Championship.\\\")##\\n(\\\"entity\\\"<|>\\\"Noah Carter\\\"<|>\\\"athlete\\\"<|>\\\"Noah Carter is a sprinter who set a new record in the 100m sprint at the World Athletics Championship.\\\")##\\n(\\\"entity\\\"<|>\\\"100m Sprint Record\\\"<|>\\\"record\\\"<|>\\\"The 100m sprint record is a benchmark in athletics, recently broken by Noah Carter.\\\")##\\n(\\\"entity\\\"<|>\\\"Carbon-Fiber Spikes\\\"<|>\\\"equipment\\\"<|>\\\"Carbon-fiber spikes are advanced sprinting shoes that provide enhanced speed and traction.\\\")##\\n(\\\"entity\\\"<|>\\\"World Athletics Federation\\\"<|>\\\"organization\\\"<|>\\\"The World Athletics Federation is the governing body overseeing the World Athletics Championship and record validations.\\\")##\\n(\\\"relationship\\\"<|>\\\"World Athletics Championship\\\"<|>\\\"Tokyo\\\"<|>\\\"The World Athletics Championship is being hosted in Tokyo.\\\"<|>\\\"event location, international competition\\\"<|>8)##\\n(\\\"relationship\\\"<|>\\\"Noah Carter\\\"<|>\\\"100m Sprint Record\\\"<|>\\\"Noah Carter set a new 100m sprint record at the championship.\\\"<|>\\\"athlete achievement, record-breaking\\\"<|>10)##\\n(\\\"relationship\\\"<|>\\\"Noah Carter\\\"<|>\\\"Carbon-Fiber Spikes\\\"<|>\\\"Noah Carter used carbon-fiber spikes to enhance performance during the race.\\\"<|>\\\"athletic equipment, performance boost\\\"<|>7)##\\n(\\\"relationship\\\"<|>\\\"World Athletics Federation\\\"<|>\\\"100m Sprint Record\\\"<|>\\\"The World Athletics Federation is responsible for validating and recognizing new sprint records.\\\"<|>\\\"sports regulation, record certification\\\"<|>9)##\\n(\\\"content_keywords\\\"<|>\\\"athletics, sprinting, record-breaking, sports technology, competition\\\")<|COMPLETE|>\\n#############################\\n\\n#############################\\n---Real Data---\\n######################\\nEntity_types: [organization,person,geo,event,category]\\nText:\\n硝酸光照分解的方程式\\n$$4HNO_{3}overset{overset{}{{Delta}}}{=}4NO_{2} uparrow + O_{2} uparrow + 2HO_{2}$$\\n氧化铁与硝酸的加热反应方程式\\n$$FeO + 4HNO_{3}overset{overset{}{{Delta}}}{=}Fe(NO_{3})_{3} + 2H_{2} uparrow + NO_{2} uparrow$$\\n氢气与氧气燃烧的现象如下图所示：\\n$$2H_{2} + O_{2}overset{overset{}{text{燃烧}}}{=}2H_{2}O$$\\n![](./Images/554076793cbb4ac7a6baa38782527b22/media/image1.png)\\n######################\\nOutput:\"}, {\"role\": \"assistant\", \"content\": \"(\\\"entity\\\"<|>\\\"Nitric Acid\\\"<|>\\\"category\\\"<|>\\\"Nitric Acid (HNO₃) is a chemical compound involved in decomposition and reaction processes described in the text.\\\")##\\n(\\\"entity\\\"<|>\\\"Nitrogen Dioxide\\\"<|>\\\"category\\\"<|>\\\"Nitrogen Dioxide (NO₂) is a gas produced in the decomposition of Nitric Acid and reactions involving Nitric Acid.\\\")##\\n(\\\"entity\\\"<|>\\\"Oxygen\\\"<|>\\\"category\\\"<|>\\\"Oxygen (O₂) is a gas produced in the decomposition of Nitric Acid and involved in combustion reactions.\\\")##\\n(\\\"entity\\\"<|>\\\"Iron Oxide\\\"<|>\\\"category\\\"<|>\\\"Iron Oxide (FeO) is a chemical compound that reacts with Nitric Acid to produce Iron Nitrate, Hydrogen, and Nitrogen Dioxide.\\\")##\\n(\\\"entity\\\"<|>\\\"Iron Nitrate\\\"<|>\\\"category\\\"<|>\\\"Iron Nitrate (Fe(NO₃)₃) is a product of the reaction between Iron Oxide and Nitric Acid.\\\")##\\n(\\\"entity\\\"<|>\\\"Hydrogen\\\"<|>\\\"category\\\"<|>\\\"Hydrogen (H₂) is a gas produced in the reaction between Iron Oxide and Nitric Acid and involved in combustion reactions.\\\")##\\n(\\\"entity\\\"<|>\\\"Water\\\"<|>\\\"category\\\"<|>\\\"Water (H₂O) is a product of the combustion reaction between Hydrogen and Oxygen.\\\")##\\n(\\\"relationship\\\"<|>\\\"Nitric Acid\\\"<|>\\\"Nitrogen Dioxide\\\"<|>\\\"Nitric Acid decomposes to produce Nitrogen Dioxide under light or heat.\\\"<|>\\\"chemical decomposition, gas production\\\"<|>9)##\\n(\\\"relationship\\\"<|>\\\"Nitric Acid\\\"<|>\\\"Oxygen\\\"<|>\\\"Nitric Acid decomposes to produce Oxygen gas under light or heat.\\\"<|>\\\"chemical decomposition, gas production\\\"<|>8)##\\n(\\\"relationship\\\"<|>\\\"Iron Oxide\\\"<|>\\\"Nitric Acid\\\"<|>\\\"Iron Oxide reacts with Nitric Acid to produce Iron Nitrate, Hydrogen, and Nitrogen Dioxide.\\\"<|>\\\"chemical reaction, acid-base interaction\\\"<|>10)##\\n(\\\"relationship\\\"<|>\\\"Hydrogen\\\"<|>\\\"Oxygen\\\"<|>\\\"Hydrogen combusts with Oxygen to produce Water.\\\"<|>\\\"combustion reaction, energy release\\\"<|>9)##\\n(\\\"content_keywords\\\"<|>\\\"chemical reactions, decomposition, combustion, acid-base interactions\\\")<|COMPLETE|>\"}]\nMANY entities and relationships were missed in the last extraction.\n\n---Remember Steps---\n\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, use same language as input text. If English, capitalized the name.\n- entity_type: One of the following types: [organization,person,geo,event,category]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><|><|>)\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n- relationship_keywords: one or more high-level key words that summarize the overarching nature of the relationship, focusing on concepts or themes rather than specific details\nFormat each relationship as (\"relationship\"<|><|><|><|><|>)\n\n3. Identify high-level key words that summarize the main concepts, themes, or topics of the entire text. These should capture the overarching ideas present in the document.\nFormat the content-level key words as (\"content_keywords\"<|>)\n\n4. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n5. When finished, output <|COMPLETE|>\n\n---Output---\n\nAdd them below using the same format:" +======= "original_prompt": "氢气与氧气燃烧的现象?" +>>>>>>> 402c9596e8417ab8a6aefc9985d04acf0169c786 } } } \ No newline at end of file diff --git a/dsLightRag/Topic/Chemistry/kv_store_text_chunks.json b/dsLightRag/Topic/Chemistry/kv_store_text_chunks.json index 23100f01..7fb35535 100644 --- a/dsLightRag/Topic/Chemistry/kv_store_text_chunks.json +++ b/dsLightRag/Topic/Chemistry/kv_store_text_chunks.json @@ -1,9 +1,17 @@ { +<<<<<<< HEAD + "chunk-c944b40c845357549a25762357eaddc7": { + "tokens": 195, + "content": "硝酸光照分解的方程式\n$$4HNO_{3}overset{overset{}{{Delta}}}{=}4NO_{2} uparrow + O_{2} uparrow + 2HO_{2}$$\n氧化铁与硝酸的加热反应方程式\n$$FeO + 4HNO_{3}overset{overset{}{{Delta}}}{=}Fe(NO_{3})_{3} + 2H_{2} uparrow + NO_{2} uparrow$$\n氢气与氧气燃烧的现象如下图所示：\n$$2H_{2} + O_{2}overset{overset{}{text{燃烧}}}{=}2H_{2}O$$\n![](./Images/554076793cbb4ac7a6baa38782527b22/media/image1.png)", + "chunk_order_index": 0, + "full_doc_id": "doc-c944b40c845357549a25762357eaddc7", +======= "chunk-d0c3bf985a3b3b903e2fb35515fdff1e": { "tokens": 195, "content": "硝酸光照分解的方程式\n$$4HNO_{3}overset{overset{}{{Delta}}}{=}4NO_{2} uparrow + O_{2} uparrow + 2HO_{2}$$\n氧化铁与硝酸的加热反应方程式\n$$FeO + 4HNO_{3}overset{overset{}{{Delta}}}{=}Fe(NO_{3})_{3} + 2H_{2} uparrow + NO_{2} uparrow$$\n氢气与氧气燃烧的现象如下图所示：\n$$2H_{2} + O_{2}overset{overset{}{text{燃烧}}}{=}2H_{2}O$$\n![](./Images/c8c0221648af480699a364fd50cbbeb6/media/image1.png)", "chunk_order_index": 0, "full_doc_id": "doc-d0c3bf985a3b3b903e2fb35515fdff1e", +>>>>>>> 402c9596e8417ab8a6aefc9985d04acf0169c786 "file_path": "unknown_source" } } \ No newline at end of file diff --git a/dsLightRag/Topic/Chemistry/vdb_chunks.json b/dsLightRag/Topic/Chemistry/vdb_chunks.json index 1820f2e0..c460d348 100644 --- a/dsLightRag/Topic/Chemistry/vdb_chunks.json +++ b/dsLightRag/Topic/Chemistry/vdb_chunks.json @@ -1 +1,5 @@ -{"embedding_dim": 1024, "data": [{"__id__": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "__created_at__": 1752205345, "content": "硝酸光照分解的方程式\n$$4HNO_{3}overset{overset{}{{Delta}}}{=}4NO_{2} uparrow + O_{2} uparrow + 2HO_{2}$$\n氧化铁与硝酸的加热反应方程式\n$$FeO + 4HNO_{3}overset{overset{}{{Delta}}}{=}Fe(NO_{3})_{3} + 2H_{2} uparrow + NO_{2} uparrow$$\n氢气与氧气燃烧的现象如下图所示：\n$$2H_{2} + O_{2}overset{overset{}{text{燃烧}}}{=}2H_{2}O$$\n![](./Images/c8c0221648af480699a364fd50cbbeb6/media/image1.png)", "full_doc_id": "doc-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}], "matrix": "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\ No newline at end of file +<<<<<<< HEAD +{"embedding_dim": 1024, "data": [{"__id__": "chunk-c944b40c845357549a25762357eaddc7", "__created_at__": 1752193036, "content": "硝酸光照分解的方程式\n$$4HNO_{3}overset{overset{}{{Delta}}}{=}4NO_{2} uparrow + O_{2} uparrow + 2HO_{2}$$\n氧化铁与硝酸的加热反应方程式\n$$FeO + 4HNO_{3}overset{overset{}{{Delta}}}{=}Fe(NO_{3})_{3} + 2H_{2} uparrow + NO_{2} uparrow$$\n氢气与氧气燃烧的现象如下图所示：\n$$2H_{2} + O_{2}overset{overset{}{text{燃烧}}}{=}2H_{2}O$$\n![](./Images/554076793cbb4ac7a6baa38782527b22/media/image1.png)", "full_doc_id": "doc-c944b40c845357549a25762357eaddc7", "file_path": "unknown_source"}], "matrix": 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hXL0GIAq960urPBVLZLxaMx29gQ4IvJ+hbzyrH+g7mLuePNH6UrwW/4M8nHGHO5VsxDtQzVg8LQGCPM2BnTrWqi691FVHPUH067u4Vw099XS8vCZ/RT0tBw88gYsBPd44hT14wPc8D4lhOrRC7LvBA6U9Ix7EPMostrzfxyU9sRIEPReaPjwGIIq7aMO8vFRlgLwNfUc9tHOFPEjzoTy4XRq8d6jDOn+5oDwgz2m9SOcHPfXfjrzyGUi8LZCiuxOkj72ubsI8zUr3vDqFh7wlcys9OYUHvWi9r7yaIq08/6NaPG6LTLtaMx29MvewO1M057zD1YU9dVlpveHZzDx9asY8x8WnO6L8YzxzR0I8D8AHvUvFAr00yZE82HaCOyr4ertunfO8ZWhIvSQwazubIi07bXklPUsXcDzWpCG9dF/2O2IBujxcS1E8P8QDPOKZBj0qrBo8xoJnPA=="} +======= +{"embedding_dim": 1024, "data": [{"__id__": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "__created_at__": 1752205345, "content": "硝酸光照分解的方程式\n$$4HNO_{3}overset{overset{}{{Delta}}}{=}4NO_{2} uparrow + O_{2} uparrow + 2HO_{2}$$\n氧化铁与硝酸的加热反应方程式\n$$FeO + 4HNO_{3}overset{overset{}{{Delta}}}{=}Fe(NO_{3})_{3} + 2H_{2} uparrow + NO_{2} uparrow$$\n氢气与氧气燃烧的现象如下图所示：\n$$2H_{2} + O_{2}overset{overset{}{text{燃烧}}}{=}2H_{2}O$$\n![](./Images/c8c0221648af480699a364fd50cbbeb6/media/image1.png)", "full_doc_id": "doc-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}], "matrix": 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+>>>>>>> 402c9596e8417ab8a6aefc9985d04acf0169c786 diff --git a/dsLightRag/Topic/Chemistry/vdb_entities.json b/dsLightRag/Topic/Chemistry/vdb_entities.json index 7bc4cdfa..4002487c 100644 --- a/dsLightRag/Topic/Chemistry/vdb_entities.json +++ b/dsLightRag/Topic/Chemistry/vdb_entities.json @@ -1 +1,5 @@ -{"embedding_dim": 1024, "data": [{"__id__": "ent-28910c9747db991734c7c471be861a0e", "__created_at__": 1752205395, "entity_name": "Nitric Acid", "content": "Nitric Acid\nNitric acid (HNO₃) is a chemical compound involved in photodecomposition and reactions with iron oxide.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "ent-25da832997a0aff5c601866819f976b6", "__created_at__": 1752205395, "entity_name": "Iron Oxide", "content": "Iron Oxide\nIron oxide (FeO) is a chemical compound that reacts with nitric acid under heat to produce iron nitrate, water, and nitrogen dioxide.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "ent-e4ce2ac56db8b92aa60065aee6884c25", "__created_at__": 1752205395, "entity_name": "Hydrogen", "content": "Hydrogen\nHydrogen (H₂) is a chemical element that combusts with oxygen to form water.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "ent-990bf420df89c0c6edf606be2022cbea", "__created_at__": 1752205395, "entity_name": "Oxygen", "content": "Oxygen\nOxygen (O₂) is a chemical element involved in combustion reactions with hydrogen.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "ent-27634ff8002b12e75d98e07ccd005d18", "__created_at__": 1752205395, "entity_name": "Water", "content": "Water\nWater (H₂O) is the product of the combustion reaction between hydrogen and oxygen.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "ent-8956959f0a4b8b0cc0ec1276ff1ea096", "__created_at__": 1752205395, "entity_name": "Nitrogen Dioxide", "content": "Nitrogen Dioxide\nNitrogen dioxide (NO₂) is a byproduct of the decomposition of nitric acid and the reaction between iron oxide and nitric acid.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "ent-f168f7b110939759992482a8fc06f229", "__created_at__": 1752205395, "entity_name": "Iron Nitrate", "content": "Iron Nitrate\nIron nitrate (Fe(NO₃)₃) is a product of the reaction between iron oxide and nitric acid.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "ent-5415e49c5d264aaf162d5c97c9e09a5f", "__created_at__": 1752205395, "entity_name": "Nitric Acid (HNO₃)", "content": "Nitric Acid (HNO₃)\nA strong mineral acid that undergoes photodecomposition when exposed to light, producing nitrogen dioxide, oxygen, and water.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "ent-9bfc829880d6e09b27bbce6c27553e3d", "__created_at__": 1752205395, "entity_name": "Nitrogen Dioxide (NO₂)", "content": "Nitrogen Dioxide (NO₂)\nA reddish-brown toxic gas produced as a byproduct in nitric acid decomposition and iron oxide reactions.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "ent-6cfdf8f6e49825c6a29801160101d05d", "__created_at__": 1752205395, "entity_name": "Oxygen (O₂)", "content": "Oxygen (O₂)\nA diatomic gas produced in nitric acid decomposition and consumed in hydrogen combustion.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "ent-dc04d2ac5f1a04f73e997d762be4224c", "__created_at__": 1752205395, "entity_name": "Water (H₂O)", "content": "Water (H₂O)\nA compound formed in both nitric acid decomposition and hydrogen-oxygen combustion.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "ent-96a5c5c81fe10bcec1f8579e9050bf08", "__created_at__": 1752205395, "entity_name": "Iron Oxide (FeO)", "content": "Iron Oxide (FeO)\nA chemical compound that reacts with nitric acid to form iron nitrate, water, and nitrogen dioxide.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "ent-85ae1d900c7100d7017a352dff3febba", "__created_at__": 1752205395, "entity_name": "Iron Nitrate (Fe(NO₃)₃)", "content": "Iron Nitrate (Fe(NO₃)₃)\nA product formed when iron oxide reacts with nitric acid under heat.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "ent-b5618f1ba278a2bae96fc553393d859f", "__created_at__": 1752205395, "entity_name": "Hydrogen (H₂)", "content": "Hydrogen (H₂)\nA flammable gas that combusts with oxygen to form water.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "ent-a211a0a02c95d55eecea6e96ec63938b", "__created_at__": 1752205395, "entity_name": "Combustion Reaction", "content": "Combustion Reaction\nThe chemical process where hydrogen reacts with oxygen to produce water.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "ent-acfe2ed2a788e873bfbf07a45e79d4d8", "__created_at__": 1752205395, "entity_name": "Photodecomposition", "content": "Photodecomposition\nThe chemical decomposition of nitric acid under light exposure.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "ent-b535db2f4374c14375eb83519c3b1568", "__created_at__": 1752205395, "entity_name": "Chemical Equation", "content": "Chemical Equation\nThe symbolic representation of chemical reactions described in the text.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}], "matrix": 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\ No newline at end of file +<<<<<<< HEAD +{"embedding_dim": 1024, "data": [{"__id__": "ent-28910c9747db991734c7c471be861a0e", "__created_at__": 1752193087, "entity_name": "Nitric Acid", "content": "Nitric Acid\nNitric Acid (HNO₃) is a chemical compound involved in decomposition and reaction processes described in the text.", "source_id": "chunk-c944b40c845357549a25762357eaddc7", "file_path": "unknown_source"}, {"__id__": "ent-8956959f0a4b8b0cc0ec1276ff1ea096", "__created_at__": 1752193087, "entity_name": "Nitrogen Dioxide", "content": "Nitrogen Dioxide\nNitrogen Dioxide (NO₂) is a gas produced in the decomposition of Nitric Acid and reactions involving Nitric Acid.", "source_id": "chunk-c944b40c845357549a25762357eaddc7", "file_path": "unknown_source"}, {"__id__": "ent-990bf420df89c0c6edf606be2022cbea", "__created_at__": 1752193087, "entity_name": "Oxygen", "content": "Oxygen\nOxygen (O₂) is a gas produced in the decomposition of Nitric Acid and involved in combustion reactions.", "source_id": "chunk-c944b40c845357549a25762357eaddc7", "file_path": "unknown_source"}, {"__id__": "ent-25da832997a0aff5c601866819f976b6", "__created_at__": 1752193087, "entity_name": "Iron Oxide", "content": "Iron Oxide\nIron Oxide (FeO) is a chemical compound that reacts with Nitric Acid to produce Iron Nitrate, Hydrogen, and Nitrogen Dioxide.", "source_id": "chunk-c944b40c845357549a25762357eaddc7", "file_path": "unknown_source"}, {"__id__": "ent-f168f7b110939759992482a8fc06f229", "__created_at__": 1752193087, "entity_name": "Iron Nitrate", "content": "Iron Nitrate\nIron Nitrate (Fe(NO₃)₃) is a product of the reaction between Iron Oxide and Nitric Acid.", "source_id": "chunk-c944b40c845357549a25762357eaddc7", "file_path": "unknown_source"}, {"__id__": "ent-e4ce2ac56db8b92aa60065aee6884c25", "__created_at__": 1752193087, "entity_name": "Hydrogen", "content": "Hydrogen\nHydrogen (H₂) is a gas produced in the reaction between Iron Oxide and Nitric Acid and involved in combustion reactions.", "source_id": "chunk-c944b40c845357549a25762357eaddc7", "file_path": "unknown_source"}, {"__id__": "ent-27634ff8002b12e75d98e07ccd005d18", "__created_at__": 1752193087, "entity_name": "Water", "content": "Water\nWater (H₂O) is a product of the combustion reaction between Hydrogen and Oxygen.", "source_id": "chunk-c944b40c845357549a25762357eaddc7", "file_path": "unknown_source"}, {"__id__": "ent-5415e49c5d264aaf162d5c97c9e09a5f", "__created_at__": 1752193087, "entity_name": "Nitric Acid (HNO₃)", "content": "Nitric Acid (HNO₃)\nA strong mineral acid involved in decomposition and redox reactions, producing nitrogen dioxide and oxygen when exposed to light or heat.", "source_id": "chunk-c944b40c845357549a25762357eaddc7", "file_path": "unknown_source"}, {"__id__": "ent-9bfc829880d6e09b27bbce6c27553e3d", "__created_at__": 1752193087, "entity_name": "Nitrogen Dioxide (NO₂)", "content": "Nitrogen Dioxide (NO₂)\nA reddish-brown gas produced as a byproduct in nitric acid decomposition and iron oxide reactions.", "source_id": "chunk-c944b40c845357549a25762357eaddc7", "file_path": "unknown_source"}, {"__id__": "ent-6cfdf8f6e49825c6a29801160101d05d", "__created_at__": 1752193087, "entity_name": "Oxygen (O₂)", "content": "Oxygen (O₂)\nA diatomic gas produced in nitric acid decomposition and consumed in hydrogen combustion.", "source_id": "chunk-c944b40c845357549a25762357eaddc7", "file_path": "unknown_source"}, {"__id__": "ent-96a5c5c81fe10bcec1f8579e9050bf08", "__created_at__": 1752193087, "entity_name": "Iron Oxide (FeO)", "content": "Iron Oxide (FeO)\nA chemical compound that reacts with nitric acid to form iron nitrate, hydrogen gas, and nitrogen dioxide.", "source_id": "chunk-c944b40c845357549a25762357eaddc7", "file_path": "unknown_source"}, {"__id__": "ent-85ae1d900c7100d7017a352dff3febba", "__created_at__": 1752193087, "entity_name": "Iron Nitrate (Fe(NO₃)₃)", "content": "Iron Nitrate (Fe(NO₃)₃)\nThe product formed when iron oxide reacts with nitric acid under heating conditions.", "source_id": "chunk-c944b40c845357549a25762357eaddc7", "file_path": "unknown_source"}, {"__id__": "ent-b5618f1ba278a2bae96fc553393d859f", "__created_at__": 1752193087, "entity_name": "Hydrogen (H₂)", "content": "Hydrogen (H₂)\nA flammable gas produced in iron oxide-nitric acid reactions and consumed in combustion with oxygen.", "source_id": "chunk-c944b40c845357549a25762357eaddc7", "file_path": "unknown_source"}, {"__id__": "ent-dc04d2ac5f1a04f73e997d762be4224c", "__created_at__": 1752193087, "entity_name": "Water (H₂O)", "content": "Water (H₂O)\nThe product of hydrogen combustion, formed when hydrogen reacts with oxygen.", "source_id": "chunk-c944b40c845357549a25762357eaddc7", "file_path": "unknown_source"}, {"__id__": "ent-98782cbe054ae17cdec5210f318cca05", "__created_at__": 1752193087, "entity_name": "Light/Heat (Δ)", "content": "Light/Heat (Δ)\nThe energy input required for nitric acid decomposition and iron oxide reactions.", "source_id": 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"file_path": "unknown_source"}, {"__id__": "ent-990bf420df89c0c6edf606be2022cbea", "__created_at__": 1752205395, "entity_name": "Oxygen", "content": "Oxygen\nOxygen (O₂) is a chemical element involved in combustion reactions with hydrogen.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "ent-27634ff8002b12e75d98e07ccd005d18", "__created_at__": 1752205395, "entity_name": "Water", "content": "Water\nWater (H₂O) is the product of the combustion reaction between hydrogen and oxygen.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "ent-8956959f0a4b8b0cc0ec1276ff1ea096", "__created_at__": 1752205395, "entity_name": "Nitrogen Dioxide", "content": "Nitrogen Dioxide\nNitrogen dioxide (NO₂) is a byproduct of the decomposition of nitric acid and the reaction between iron oxide and nitric acid.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "ent-f168f7b110939759992482a8fc06f229", "__created_at__": 1752205395, "entity_name": "Iron Nitrate", "content": "Iron Nitrate\nIron nitrate (Fe(NO₃)₃) is a product of the reaction between iron oxide and nitric acid.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "ent-5415e49c5d264aaf162d5c97c9e09a5f", "__created_at__": 1752205395, "entity_name": "Nitric Acid (HNO₃)", "content": "Nitric Acid (HNO₃)\nA strong mineral acid that undergoes photodecomposition when exposed to light, producing nitrogen dioxide, oxygen, and water.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "ent-9bfc829880d6e09b27bbce6c27553e3d", "__created_at__": 1752205395, "entity_name": "Nitrogen Dioxide (NO₂)", "content": "Nitrogen Dioxide (NO₂)\nA reddish-brown toxic gas produced as a byproduct in nitric acid decomposition and iron oxide reactions.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", 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{"__id__": "ent-85ae1d900c7100d7017a352dff3febba", "__created_at__": 1752205395, "entity_name": "Iron Nitrate (Fe(NO₃)₃)", "content": "Iron Nitrate (Fe(NO₃)₃)\nA product formed when iron oxide reacts with nitric acid under heat.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "ent-b5618f1ba278a2bae96fc553393d859f", "__created_at__": 1752205395, "entity_name": "Hydrogen (H₂)", "content": "Hydrogen (H₂)\nA flammable gas that combusts with oxygen to form water.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "ent-a211a0a02c95d55eecea6e96ec63938b", "__created_at__": 1752205395, "entity_name": "Combustion Reaction", "content": "Combustion Reaction\nThe chemical process where hydrogen reacts with oxygen to produce water.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "ent-acfe2ed2a788e873bfbf07a45e79d4d8", "__created_at__": 1752205395, "entity_name": "Photodecomposition", "content": "Photodecomposition\nThe chemical decomposition of nitric acid under light exposure.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "ent-b535db2f4374c14375eb83519c3b1568", "__created_at__": 1752205395, "entity_name": "Chemical Equation", "content": "Chemical Equation\nThe symbolic representation of chemical reactions described in the text.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}], "matrix": 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+>>>>>>> 402c9596e8417ab8a6aefc9985d04acf0169c786 diff --git a/dsLightRag/Topic/Chemistry/vdb_relationships.json b/dsLightRag/Topic/Chemistry/vdb_relationships.json index 4abbba00..5b2448e3 100644 --- a/dsLightRag/Topic/Chemistry/vdb_relationships.json +++ b/dsLightRag/Topic/Chemistry/vdb_relationships.json @@ -1 +1,5 @@ -{"embedding_dim": 1024, "data": [{"__id__": "rel-2ff952e23e9ad334f9244237bc7d6049", "__created_at__": 1752205396, "src_id": "Nitric Acid", "tgt_id": "Nitrogen Dioxide", "content": "Nitric Acid\tNitrogen Dioxide\nbyproducts,chemical decomposition\nNitric acid decomposes under light to produce nitrogen dioxide, oxygen, and water.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "rel-19fc003f86fe0ab223780b80bb3cbdcb", "__created_at__": 1752205396, "src_id": "Iron Oxide", "tgt_id": "Nitric Acid", "content": "Iron Oxide\tNitric Acid\nchemical reaction,heat application\nIron oxide reacts with nitric acid under heat to produce iron nitrate, water, and nitrogen dioxide.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "rel-40ca1814ff3034c4057137e8874eb6f1", "__created_at__": 1752205396, "src_id": "Hydrogen", "tgt_id": "Oxygen", "content": "Hydrogen\tOxygen\ncombustion reaction,synthesis\nHydrogen combusts with oxygen to form water.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "rel-f792fce23f42b2dafa0eaf5f34f201bd", "__created_at__": 1752205396, "src_id": "Iron Nitrate", "tgt_id": "Iron Oxide", "content": "Iron Nitrate\tIron Oxide\nchemical transformation,product formation\nIron oxide is converted into iron nitrate through its reaction with nitric acid.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "rel-47fe1858b6fbdf417be9b92a9736eeb4", "__created_at__": 1752205396, "src_id": "Nitric Acid (HNO₃)", "tgt_id": "Nitrogen Dioxide (NO₂)", "content": "Nitric Acid (HNO₃)\tNitrogen Dioxide (NO₂)\nbyproduct formation,chemical decomposition\nNitric acid decomposes to produce nitrogen dioxide as a primary byproduct.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "rel-55c7bd6bf1abd82987a66ed0911a0373", "__created_at__": 1752205396, "src_id": "Nitric Acid (HNO₃)", "tgt_id": "Oxygen (O₂)", "content": "Nitric Acid (HNO₃)\tOxygen (O₂)\nchemical reaction,gas production\nNitric acid decomposition releases oxygen gas as a byproduct.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "rel-c767a7c647eb0d8a47393529e9c64fea", "__created_at__": 1752205396, "src_id": "Nitric Acid (HNO₃)", "tgt_id": "Water (H₂O)", "content": "Nitric Acid (HNO₃)\tWater (H₂O)\nchemical byproduct,reaction output\nWater is produced as a byproduct of nitric acid decomposition.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "rel-b362c25bf7d524a2a9d808743274fa5a", "__created_at__": 1752205396, "src_id": "Iron Oxide (FeO)", "tgt_id": "Nitric Acid (HNO₃)", "content": "Iron Oxide (FeO)\tNitric Acid (HNO₃)\nacid-base reaction,heat application\nIron oxide reacts with nitric acid under heat to produce various compounds.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "rel-af6a6e6f9b3551aebe13982495213dbc", "__created_at__": 1752205396, "src_id": "Iron Nitrate (Fe(NO₃)₃)", "tgt_id": "Iron Oxide (FeO)", "content": "Iron Nitrate (Fe(NO₃)₃)\tIron Oxide (FeO)\nchemical transformation,product formation\nIron oxide is converted to iron nitrate through reaction with nitric acid.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "rel-02a390dd6b5a7e8baa3e081ff7e3f69b", "__created_at__": 1752205396, "src_id": "Iron Oxide (FeO)", "tgt_id": "Nitrogen Dioxide (NO₂)", "content": "Iron Oxide (FeO)\tNitrogen Dioxide (NO₂)\nchemical reaction,gas production\nReaction between iron oxide and nitric acid produces nitrogen dioxide.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "rel-87eb6eba5a3ed8b67324e25b8a9a15ad", "__created_at__": 1752205396, "src_id": "Hydrogen (H₂)", "tgt_id": "Oxygen (O₂)", "content": "Hydrogen (H₂)\tOxygen (O₂)\ncombustion,synthesis reaction\nHydrogen combusts with oxygen in a chemical reaction to produce water.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "rel-d7aa7ec8dabe1da929e2ec9834fe468b", "__created_at__": 1752205396, "src_id": "Hydrogen (H₂)", "tgt_id": "Water (H₂O)", "content": "Hydrogen (H₂)\tWater (H₂O)\nchemical synthesis,product formation\nHydrogen is converted to water through combustion with oxygen.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "rel-98cdcf9fc8cc76dcffea59e3b6fa9fcd", "__created_at__": 1752205396, "src_id": "Nitric Acid (HNO₃)", "tgt_id": "Photodecomposition", "content": "Nitric Acid (HNO₃)\tPhotodecomposition\nchemical process,decomposition\nPhotodecomposition is the process that breaks down nitric acid.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "rel-0999e3c0bf0328f082718582d8ac56d2", "__created_at__": 1752205396, "src_id": "Chemical Equation", "tgt_id": "Combustion Reaction", "content": "Chemical Equation\tCombustion Reaction\nchemical notation,symbolic representation\nThe combustion reaction is represented by a chemical equation.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}], "matrix": 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\ No newline at end of file +<<<<<<< HEAD +{"embedding_dim": 1024, "data": [{"__id__": "rel-2ff952e23e9ad334f9244237bc7d6049", "__created_at__": 1752193087, "src_id": "Nitric Acid", "tgt_id": "Nitrogen Dioxide", "content": "Nitric Acid\tNitrogen Dioxide\nchemical decomposition,gas production\nNitric Acid decomposes to produce Nitrogen Dioxide under light or heat.", "source_id": "chunk-c944b40c845357549a25762357eaddc7", "file_path": "unknown_source"}, {"__id__": "rel-b3095dbdb7af936628d51cc9a32da619", "__created_at__": 1752193087, "src_id": "Nitric Acid", "tgt_id": "Oxygen", "content": "Nitric Acid\tOxygen\nchemical decomposition,gas production\nNitric Acid decomposes to produce Oxygen gas under light or heat.", "source_id": "chunk-c944b40c845357549a25762357eaddc7", "file_path": "unknown_source"}, {"__id__": "rel-19fc003f86fe0ab223780b80bb3cbdcb", "__created_at__": 1752193087, "src_id": "Iron Oxide", "tgt_id": "Nitric Acid", "content": "Iron Oxide\tNitric Acid\nacid-base interaction,chemical reaction\nIron Oxide reacts with Nitric Acid to produce Iron Nitrate, Hydrogen, and Nitrogen Dioxide.", "source_id": "chunk-c944b40c845357549a25762357eaddc7", "file_path": "unknown_source"}, {"__id__": "rel-40ca1814ff3034c4057137e8874eb6f1", "__created_at__": 1752193087, "src_id": "Hydrogen", "tgt_id": "Oxygen", "content": "Hydrogen\tOxygen\ncombustion reaction,energy release\nHydrogen combusts with Oxygen to produce Water.", "source_id": "chunk-c944b40c845357549a25762357eaddc7", "file_path": "unknown_source"}, {"__id__": "rel-866438beee4479ca12ffad8da79eb283", "__created_at__": 1752193087, "src_id": "Light/Heat (Δ)", "tgt_id": "Nitric Acid (HNO₃)", "content": "Light/Heat (Δ)\tNitric Acid (HNO₃)\nenergy requirement,reaction condition\nNitric acid requires light or heat energy to decompose into nitrogen dioxide and oxygen.", "source_id": "chunk-c944b40c845357549a25762357eaddc7", "file_path": "unknown_source"}, {"__id__": "rel-47fe1858b6fbdf417be9b92a9736eeb4", "__created_at__": 1752193087, "src_id": "Nitric Acid (HNO₃)", "tgt_id": "Nitrogen Dioxide (NO₂)", "content": "Nitric Acid (HNO₃)\tNitrogen Dioxide (NO₂)\nchemical decomposition,gas production\nNitric acid decomposition produces nitrogen dioxide as a primary product.", "source_id": "chunk-c944b40c845357549a25762357eaddc7", "file_path": "unknown_source"}, {"__id__": "rel-55c7bd6bf1abd82987a66ed0911a0373", "__created_at__": 1752193087, "src_id": "Nitric Acid (HNO₃)", "tgt_id": "Oxygen (O₂)", "content": "Nitric Acid (HNO₃)\tOxygen (O₂)\ngas evolution,redox reaction\nNitric acid decomposition yields oxygen gas as a byproduct.", "source_id": "chunk-c944b40c845357549a25762357eaddc7", "file_path": "unknown_source"}, {"__id__": "rel-b362c25bf7d524a2a9d808743274fa5a", "__created_at__": 1752193087, "src_id": "Iron Oxide (FeO)", "tgt_id": "Nitric Acid (HNO₃)", "content": "Iron Oxide (FeO)\tNitric Acid (HNO₃)\nacid-base reaction,redox process\nIron oxide reacts with nitric acid under heating conditions to produce multiple compounds.", "source_id": "chunk-c944b40c845357549a25762357eaddc7", "file_path": "unknown_source"}, {"__id__": "rel-af6a6e6f9b3551aebe13982495213dbc", "__created_at__": 1752193087, "src_id": "Iron Nitrate (Fe(NO₃)₃)", "tgt_id": "Iron Oxide (FeO)", "content": "Iron Nitrate (Fe(NO₃)₃)\tIron Oxide (FeO)\nchemical transformation,salt formation\nIron oxide transforms into iron nitrate through reaction with nitric acid.", "source_id": "chunk-c944b40c845357549a25762357eaddc7", "file_path": "unknown_source"}, {"__id__": "rel-04b1b7bbe797d96c772b494d5b9ce79b", "__created_at__": 1752193087, "src_id": "Hydrogen (H₂)", "tgt_id": "Iron Oxide (FeO)", "content": "Hydrogen (H₂)\tIron Oxide (FeO)\ngas production,redox byproduct\nThe reaction between iron oxide and nitric acid produces hydrogen gas.", "source_id": "chunk-c944b40c845357549a25762357eaddc7", "file_path": "unknown_source"}, {"__id__": "rel-87eb6eba5a3ed8b67324e25b8a9a15ad", "__created_at__": 1752193087, "src_id": "Hydrogen (H₂)", "tgt_id": "Oxygen (O₂)", "content": "Hydrogen (H₂)\tOxygen (O₂)\ncombustion,energy release\nHydrogen combusts with oxygen in an exothermic reaction to form water.", "source_id": "chunk-c944b40c845357549a25762357eaddc7", "file_path": "unknown_source"}, {"__id__": "rel-0621e289455262fc8edd6678d1c41c61", "__created_at__": 1752193087, "src_id": "Combustion", "tgt_id": "Hydrogen (H₂)", "content": "Combustion\tHydrogen (H₂)\nexothermic process,reactive component\nHydrogen participates as a fuel in the combustion event.", "source_id": "chunk-c944b40c845357549a25762357eaddc7", "file_path": "unknown_source"}, {"__id__": "rel-40750b6a69f58f48d9a61509e556328f", "__created_at__": 1752193087, "src_id": "Combustion", "tgt_id": "Oxygen (O₂)", "content": "Combustion\tOxygen (O₂)\noxidation,reaction partner\nOxygen acts as the oxidizer in the hydrogen combustion event.", "source_id": "chunk-c944b40c845357549a25762357eaddc7", "file_path": "unknown_source"}], "matrix": 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"} +======= +{"embedding_dim": 1024, "data": [{"__id__": "rel-2ff952e23e9ad334f9244237bc7d6049", "__created_at__": 1752205396, "src_id": "Nitric Acid", "tgt_id": "Nitrogen Dioxide", "content": "Nitric Acid\tNitrogen Dioxide\nbyproducts,chemical decomposition\nNitric acid decomposes under light to produce nitrogen dioxide, oxygen, and water.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "rel-19fc003f86fe0ab223780b80bb3cbdcb", "__created_at__": 1752205396, "src_id": "Iron Oxide", "tgt_id": "Nitric Acid", "content": "Iron Oxide\tNitric Acid\nchemical reaction,heat application\nIron oxide reacts with nitric acid under heat to produce iron nitrate, water, and nitrogen dioxide.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "rel-40ca1814ff3034c4057137e8874eb6f1", "__created_at__": 1752205396, "src_id": "Hydrogen", "tgt_id": "Oxygen", "content": "Hydrogen\tOxygen\ncombustion reaction,synthesis\nHydrogen combusts with oxygen to form water.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "rel-f792fce23f42b2dafa0eaf5f34f201bd", "__created_at__": 1752205396, "src_id": "Iron Nitrate", "tgt_id": "Iron Oxide", "content": "Iron Nitrate\tIron Oxide\nchemical transformation,product formation\nIron oxide is converted into iron nitrate through its reaction with nitric acid.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "rel-47fe1858b6fbdf417be9b92a9736eeb4", "__created_at__": 1752205396, "src_id": "Nitric Acid (HNO₃)", "tgt_id": "Nitrogen Dioxide (NO₂)", "content": "Nitric Acid (HNO₃)\tNitrogen Dioxide (NO₂)\nbyproduct formation,chemical decomposition\nNitric acid decomposes to produce nitrogen dioxide as a primary byproduct.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "rel-55c7bd6bf1abd82987a66ed0911a0373", "__created_at__": 1752205396, "src_id": "Nitric Acid (HNO₃)", "tgt_id": "Oxygen (O₂)", "content": "Nitric Acid (HNO₃)\tOxygen (O₂)\nchemical reaction,gas production\nNitric acid decomposition releases oxygen gas as a byproduct.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "rel-c767a7c647eb0d8a47393529e9c64fea", "__created_at__": 1752205396, "src_id": "Nitric Acid (HNO₃)", "tgt_id": "Water (H₂O)", "content": "Nitric Acid (HNO₃)\tWater (H₂O)\nchemical byproduct,reaction output\nWater is produced as a byproduct of nitric acid decomposition.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "rel-b362c25bf7d524a2a9d808743274fa5a", "__created_at__": 1752205396, "src_id": "Iron Oxide (FeO)", "tgt_id": "Nitric Acid (HNO₃)", "content": "Iron Oxide (FeO)\tNitric Acid (HNO₃)\nacid-base reaction,heat application\nIron oxide reacts with nitric acid under heat to produce various compounds.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "rel-af6a6e6f9b3551aebe13982495213dbc", "__created_at__": 1752205396, "src_id": "Iron Nitrate (Fe(NO₃)₃)", "tgt_id": "Iron Oxide (FeO)", "content": "Iron Nitrate (Fe(NO₃)₃)\tIron Oxide (FeO)\nchemical transformation,product formation\nIron oxide is converted to iron nitrate through reaction with nitric acid.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "rel-02a390dd6b5a7e8baa3e081ff7e3f69b", "__created_at__": 1752205396, "src_id": "Iron Oxide (FeO)", "tgt_id": "Nitrogen Dioxide (NO₂)", "content": "Iron Oxide (FeO)\tNitrogen Dioxide (NO₂)\nchemical reaction,gas production\nReaction between iron oxide and nitric acid produces nitrogen dioxide.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "rel-87eb6eba5a3ed8b67324e25b8a9a15ad", "__created_at__": 1752205396, "src_id": "Hydrogen (H₂)", "tgt_id": "Oxygen (O₂)", "content": "Hydrogen (H₂)\tOxygen (O₂)\ncombustion,synthesis reaction\nHydrogen combusts with oxygen in a chemical reaction to produce water.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "rel-d7aa7ec8dabe1da929e2ec9834fe468b", "__created_at__": 1752205396, "src_id": "Hydrogen (H₂)", "tgt_id": "Water (H₂O)", "content": "Hydrogen (H₂)\tWater (H₂O)\nchemical synthesis,product formation\nHydrogen is converted to water through combustion with oxygen.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "rel-98cdcf9fc8cc76dcffea59e3b6fa9fcd", "__created_at__": 1752205396, "src_id": "Nitric Acid (HNO₃)", "tgt_id": "Photodecomposition", "content": "Nitric Acid (HNO₃)\tPhotodecomposition\nchemical process,decomposition\nPhotodecomposition is the process that breaks down nitric acid.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "rel-0999e3c0bf0328f082718582d8ac56d2", "__created_at__": 1752205396, "src_id": "Chemical Equation", "tgt_id": "Combustion Reaction", "content": "Chemical Equation\tCombustion Reaction\nchemical notation,symbolic representation\nThe combustion reaction is represented by a chemical equation.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}], "matrix": 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"} +>>>>>>> 402c9596e8417ab8a6aefc9985d04acf0169c786 diff --git a/dsLightRag/Topic/Chinese/kv_store_llm_response_cache.json b/dsLightRag/Topic/Chinese/kv_store_llm_response_cache.json index 6515f293..fb4fce48 100644 --- a/dsLightRag/Topic/Chinese/kv_store_llm_response_cache.json +++ b/dsLightRag/Topic/Chinese/kv_store_llm_response_cache.json @@ -19,6 +19,69 @@ "embedding_min": null, "embedding_max": null, "original_prompt": "苏轼的家人都有谁?" +<<<<<<< HEAD + }, + "0866bc72067432ca7e2676c73832db63": { + "return": "{\"high_level_keywords\": [\"\\u785d\\u9178\\u5206\\u89e3\", \"\\u5149\\u7167\\u53cd\\u5e94\", \"\\u5316\\u5b66\\u53cd\\u5e94\"], \"low_level_keywords\": [\"\\u785d\\u9178\", \"\\u5149\\u7167\", \"\\u5206\\u89e3\\u4ea7\\u7269\", \"\\u53cd\\u5e94\\u6761\\u4ef6\", \"\\u5316\\u5b66\\u65b9\\u7a0b\\u5f0f\"]}", + "cache_type": "keywords", + "chunk_id": null, + "embedding": null, + "embedding_shape": null, + "embedding_min": null, + "embedding_max": null, + "original_prompt": "硝酸的光照分解反应?" + }, + "d76baeceecdfd9ed35f72d4f94537986": { + "return": "{\"high_level_keywords\": [\"\\u5316\\u5b66\\u53cd\\u5e94\", \"\\u71c3\\u70e7\\u73b0\\u8c61\", \"\\u6c14\\u4f53\\u53cd\\u5e94\"], \"low_level_keywords\": [\"\\u6c22\\u6c14\", \"\\u6c27\\u6c14\", \"\\u6c34\", \"\\u706b\\u7130\", \"\\u70ed\\u91ca\\u653e\"]}", + "cache_type": "keywords", + "chunk_id": null, + "embedding": null, + "embedding_shape": null, + "embedding_min": null, + "embedding_max": null, + "original_prompt": "氢气与氧气燃烧的现象?" + }, + "39927327159cfd7cca859e211cc6e357": { + "return": "{\"high_level_keywords\": [\"\\u6559\\u5b66\\u8bbe\\u8ba1\", \"\\u51e0\\u4f55\\u6982\\u5ff5\", \"\\u6570\\u5b66\\u6559\\u80b2\"], \"low_level_keywords\": [\"\\u70b9\", \"\\u7ebf\", \"\\u9762\", \"\\u4f53\", \"\\u89d2\"]}", + "cache_type": "keywords", + "chunk_id": null, + "embedding": null, + "embedding_shape": null, + "embedding_min": null, + "embedding_max": null, + "original_prompt": "帮我写一下 如何理解点、线、面、体、角 的教学设计" + }, + "554f9fea1b1b2beda037f4f9d375ad01": { + "return": "{\"high_level_keywords\": [\"\\u82cf\\u8f7c\", \"\\u670b\\u53cb\", \"\\u4eba\\u9645\\u5173\\u7cfb\"], \"low_level_keywords\": [\"\\u9ec4\\u5ead\\u575a\", \"\\u7c73\\u82be\", \"\\u8521\\u8944\", \"\\u6b27\\u9633\\u4fee\", \"\\u738b\\u5b89\\u77f3\", \"\\u6587\\u540c\", \"\\u79e6\\u89c2\", \"\\u6641\\u8865\\u4e4b\"]}", + "cache_type": "keywords", + "chunk_id": null, + "embedding": null, + "embedding_shape": null, + "embedding_min": null, + "embedding_max": null, + "original_prompt": "苏轼的好朋友都有谁?" + }, + "0a884d9573c9ac6f3fa795301a5fd43b": { + "return": "{\"high_level_keywords\": [\"\\u5386\\u53f2\\u4eba\\u7269\", \"\\u4e2d\\u56fd\\u6587\\u5316\"], \"low_level_keywords\": [\"\\u9648\\u5b63\\u5e38\", \"\\u5317\\u5b8b\", \"\\u82cf\\u8f7c\", \"\\u6cb3\\u4e1c\\u72ee\\u543c\"]}", + "cache_type": "keywords", + "chunk_id": null, + "embedding": null, + "embedding_shape": null, + "embedding_min": null, + "embedding_max": null, + "original_prompt": "陈季常是谁？" + }, + "f228e58d06f5c7d16ab6f7094e733f60": { + "return": "{\"high_level_keywords\": [\"\\u82cf\\u8f7c\", \"\\u6709\\u540d\\u8bd7\\u53e5\", \"\\u6587\\u5b66\\u4f5c\\u54c1\"], \"low_level_keywords\": [\"\\u6c34\\u8c03\\u6b4c\\u5934\", \"\\u5ff5\\u5974\\u5a07\\u00b7\\u8d64\\u58c1\\u6000\\u53e4\", \"\\u6c5f\\u57ce\\u5b50\\u00b7\\u5bc6\\u5dde\\u51fa\\u730e\", \"\\u9898\\u897f\\u6797\\u58c1\", \"\\u996e\\u6e56\\u4e0a\\u521d\\u6674\\u540e\\u96e8\"]}", + "cache_type": "keywords", + "chunk_id": null, + "embedding": null, + "embedding_shape": null, + "embedding_min": null, + "embedding_max": null, + "original_prompt": "苏轼有哪些有名的诗句?" +======= +>>>>>>> 402c9596e8417ab8a6aefc9985d04acf0169c786 } } } \ No newline at end of file diff --git a/dsLightRag/Topic/Math/kv_store_llm_response_cache.json b/dsLightRag/Topic/Math/kv_store_llm_response_cache.json index 1f37770a..39a67a89 100644 --- a/dsLightRag/Topic/Math/kv_store_llm_response_cache.json +++ b/dsLightRag/Topic/Math/kv_store_llm_response_cache.json @@ -9,6 +9,49 @@ "embedding_min": null, "embedding_max": null, "original_prompt": "小学数学中有哪些常见模型？" +<<<<<<< HEAD + }, + "9b37cd625bfa223f5c83501990ad6be1": { + "return": "{\"high_level_keywords\": [\"\\u82cf\\u8f7c\", \"\\u5bb6\\u4eba\", \"\\u5bb6\\u5ead\\u5173\\u7cfb\"], \"low_level_keywords\": [\"\\u82cf\\u6d35\", \"\\u82cf\\u8f99\", \"\\u738b\\u5f17\", \"\\u738b\\u671d\\u4e91\", \"\\u82cf\\u8fc8\", \"\\u82cf\\u8fc7\"]}", + "cache_type": "keywords", + "chunk_id": null, + "embedding": null, + "embedding_shape": null, + "embedding_min": null, + "embedding_max": null, + "original_prompt": "苏轼的家人都有谁?" + }, + "0866bc72067432ca7e2676c73832db63": { + "return": "{\"high_level_keywords\": [\"\\u785d\\u9178\\u5206\\u89e3\", \"\\u5149\\u7167\\u53cd\\u5e94\", \"\\u5316\\u5b66\\u53cd\\u5e94\"], \"low_level_keywords\": [\"\\u785d\\u9178\", \"\\u5149\\u7167\", \"\\u5206\\u89e3\\u4ea7\\u7269\", \"\\u53cd\\u5e94\\u6761\\u4ef6\", \"\\u5316\\u5b66\\u65b9\\u7a0b\\u5f0f\"]}", + "cache_type": "keywords", + "chunk_id": null, + "embedding": null, + "embedding_shape": null, + "embedding_min": null, + "embedding_max": null, + "original_prompt": "硝酸的光照分解反应?" + }, + "d76baeceecdfd9ed35f72d4f94537986": { + "return": "{\"high_level_keywords\": [\"\\u5316\\u5b66\\u53cd\\u5e94\", \"\\u71c3\\u70e7\\u73b0\\u8c61\", \"\\u6c14\\u4f53\\u53cd\\u5e94\"], \"low_level_keywords\": [\"\\u6c22\\u6c14\", \"\\u6c27\\u6c14\", \"\\u6c34\", \"\\u706b\\u7130\", \"\\u70ed\\u91ca\\u653e\"]}", + "cache_type": "keywords", + "chunk_id": null, + "embedding": null, + "embedding_shape": null, + "embedding_min": null, + "embedding_max": null, + "original_prompt": "氢气与氧气燃烧的现象?" + }, + "39927327159cfd7cca859e211cc6e357": { + "return": "{\"high_level_keywords\": [\"\\u6559\\u5b66\\u8bbe\\u8ba1\", \"\\u51e0\\u4f55\\u6982\\u5ff5\", \"\\u6570\\u5b66\\u6559\\u80b2\"], \"low_level_keywords\": [\"\\u70b9\", \"\\u7ebf\", \"\\u9762\", \"\\u4f53\", \"\\u89d2\"]}", + "cache_type": "keywords", + "chunk_id": null, + "embedding": null, + "embedding_shape": null, + "embedding_min": null, + "embedding_max": null, + "original_prompt": "帮我写一下 如何理解点、线、面、体、角 的教学设计" +======= +>>>>>>> 402c9596e8417ab8a6aefc9985d04acf0169c786 } } } \ No newline at end of file diff --git a/dsLightRag/Util/__pycache__/DocxUtil.cpython-310.pyc b/dsLightRag/Util/__pycache__/DocxUtil.cpython-310.pyc index 387c8f87..1281b368 100644 Binary files a/dsLightRag/Util/__pycache__/DocxUtil.cpython-310.pyc and b/dsLightRag/Util/__pycache__/DocxUtil.cpython-310.pyc differ diff --git a/dsLightRag/static/markdown/Chemistry.md b/dsLightRag/static/markdown/Chemistry.md index 9a3b8b07..1aed1492 100644 --- a/dsLightRag/static/markdown/Chemistry.md +++ b/dsLightRag/static/markdown/Chemistry.md @@ -4,4 +4,8 @@ $$4HNO_{3}\overset{\overset{}{{\Delta}}}{=}4NO_{2} \uparrow + O_{2} \uparrow + 2 $$FeO + 4HNO_{3}\overset{\overset{}{{\Delta}}}{=}Fe(NO_{3})_{3} + 2H_{2} \uparrow + NO_{2} \uparrow$$ 氢气与氧气燃烧的现象如下图所示： $$2H_{2} + O_{2}\overset{\overset{}{\text{燃烧}}}{=}2H_{2}O$$ +<<<<<<< HEAD +![](./Images/554076793cbb4ac7a6baa38782527b22/media/image1.png) +======= ![](./Images/c8c0221648af480699a364fd50cbbeb6/media/image1.png) +>>>>>>> 402c9596e8417ab8a6aefc9985d04acf0169c786