diff --git a/dsLightRag/Doc/6、在Word中录入Latex公式的方法.docx b/dsLightRag/Doc/6、在Word中录入Latex公式的方法.docx index d754b72b..ce90194a 100644 Binary files a/dsLightRag/Doc/6、在Word中录入Latex公式的方法.docx and b/dsLightRag/Doc/6、在Word中录入Latex公式的方法.docx differ diff --git a/dsLightRag/Topic/Chemistry/graph_chunk_entity_relation.graphml b/dsLightRag/Topic/Chemistry/graph_chunk_entity_relation.graphml index 18d87632..2a2a47cd 100644 --- a/dsLightRag/Topic/Chemistry/graph_chunk_entity_relation.graphml +++ b/dsLightRag/Topic/Chemistry/graph_chunk_entity_relation.graphml @@ -13,117 +13,173 @@ - - 硝酸光照分解的方程式 - event - The equation describes the photodecomposition of nitric acid under light, producing nitrogen dioxide, oxygen, and water. - chunk-19ff3bd9fb2635b72b0d70f58e920f97 - unknown_source - 1752050398 - - - 氢气与氧气燃烧的现象 - event - The phenomenon describes the combustion of hydrogen and oxygen, as illustrated in the provided image. - chunk-19ff3bd9fb2635b72b0d70f58e920f97 + + Nitric Acid + category + Nitric acid (HNO₃) is a chemical compound involved in photodecomposition and reactions with iron oxide. + chunk-5fd997bf730fefbe622c9cec52b1d3db unknown_source - 1752050398 + 1752104774 - - 硝酸 + + Iron Oxide category - Nitric acid (HNO₃) is a highly corrosive mineral acid involved in the photodecomposition reaction. - chunk-19ff3bd9fb2635b72b0d70f58e920f97 + Iron oxide (FeO) reacts with nitric acid under heating to produce iron nitrate, water, and nitrogen dioxide. + chunk-5fd997bf730fefbe622c9cec52b1d3db unknown_source - 1752050398 + 1752104774 - - 氮氧化物 + + Hydrogen category - Nitrogen dioxide (NO₂) is a product of nitric acid decomposition, appearing as a reddish-brown gas. - chunk-19ff3bd9fb2635b72b0d70f58e920f97 + Hydrogen (H₂) is a chemical element that reacts with oxygen in a combustion reaction to form water. + chunk-5fd997bf730fefbe622c9cec52b1d3db unknown_source - 1752050398 + 1752104774 - - 氧气 + + Oxygen category - Oxygen (O₂) is produced as a byproduct in nitric acid decomposition and is essential for combustion. - chunk-19ff3bd9fb2635b72b0d70f58e920f97 + Oxygen (O₂) is a chemical element involved in combustion reactions, such as with hydrogen to form water. + chunk-5fd997bf730fefbe622c9cec52b1d3db unknown_source - 1752050398 + 1752104774 - - 水 + + Water category - Water (H₂O) is formed in the photodecomposition of nitric acid. - chunk-19ff3bd9fb2635b72b0d70f58e920f97 + Water (H₂O) is the product of the combustion reaction between hydrogen and oxygen. + chunk-5fd997bf730fefbe622c9cec52b1d3db unknown_source - 1752050398 + 1752104774 - - 氢气 - category - Hydrogen (H₂) is involved in the combustion reaction with oxygen, producing water. - chunk-19ff3bd9fb2635b72b0d70f58e920f97 + + Nitric Acid Photodecomposition + event + The chemical reaction where nitric acid decomposes under light to produce nitrogen dioxide, oxygen, and water. + chunk-5fd997bf730fefbe622c9cec52b1d3db unknown_source - 1752050398 + 1752104774 - - 光照 + + Iron Oxide-Nitric Acid Reaction event - Light acts as a catalyst in the decomposition of nitric acid. - chunk-19ff3bd9fb2635b72b0d70f58e920f97 + The chemical reaction where iron oxide reacts with nitric acid under heating to produce iron nitrate, water, and nitrogen dioxide. + chunk-5fd997bf730fefbe622c9cec52b1d3db unknown_source - 1752050398 + 1752104774 - - 燃烧 + + Hydrogen-Oxygen Combustion event - Combustion refers to the rapid chemical reaction between hydrogen and oxygen, releasing energy. - chunk-19ff3bd9fb2635b72b0d70f58e920f97 + The chemical reaction where hydrogen burns with oxygen to produce water. + chunk-5fd997bf730fefbe622c9cec52b1d3db unknown_source - 1752050398 + 1752104774 - + + Nitrogen Dioxide + category + NO₂ is a product of both nitric acid photodecomposition and iron oxide-nitric acid reactions. + chunk-5fd997bf730fefbe622c9cec52b1d3db + unknown_source + 1752104774 + + + Oxygen Gas + category + O₂ is produced in nitric acid photodecomposition and consumed in hydrogen-oxygen combustion. + chunk-5fd997bf730fefbe622c9cec52b1d3db + unknown_source + 1752104774 + + + Iron Nitrate + category + Fe(NO₃)₃ is produced in the reaction between iron oxide and nitric acid. + chunk-5fd997bf730fefbe622c9cec52b1d3db + unknown_source + 1752104774 + + + 8.0 + Nitric acid reacts with iron oxide under heating to produce iron nitrate, water, and nitrogen dioxide. + chemical reaction,heating + chunk-5fd997bf730fefbe622c9cec52b1d3db + unknown_source + 1752104774 + + 9.0 - Nitric acid decomposes under light, producing nitrogen dioxide, oxygen, and water. - decomposition,photochemical reaction - chunk-19ff3bd9fb2635b72b0d70f58e920f97 + Nitric acid undergoes photodecomposition to produce nitrogen dioxide and oxygen. + chemical decomposition,light reaction + chunk-5fd997bf730fefbe622c9cec52b1d3db unknown_source - 1752050398 + 1752104774 - + 8.0 - Nitrogen dioxide is a direct product of nitric acid decomposition. - chemical product,reaction outcome - chunk-19ff3bd9fb2635b72b0d70f58e920f97 + Iron oxide reacts with nitric acid under heating to form iron nitrate. + acid-base reaction,thermal decomposition + chunk-5fd997bf730fefbe622c9cec52b1d3db + unknown_source + 1752104774 + + + 9.0 + Hydrogen and oxygen undergo a combustion reaction to form water. + chemical reaction,combustion + chunk-5fd997bf730fefbe622c9cec52b1d3db + unknown_source + 1752104774 + + + 10.0 + Hydrogen combusts with oxygen to form water. + combustion,redox reaction + chunk-5fd997bf730fefbe622c9cec52b1d3db unknown_source - 1752050398 + 1752104774 - + + 9.0 + Hydrogen-oxygen combustion produces water as the main product. + chemical synthesis,exothermic reaction + chunk-5fd997bf730fefbe622c9cec52b1d3db + unknown_source + 1752104774 + + 7.0 - Oxygen is released as a byproduct during nitric acid decomposition. - gas evolution,reaction byproduct - chunk-19ff3bd9fb2635b72b0d70f58e920f97 + Nitric acid photodecomposition produces nitrogen dioxide as a product. + chemical product,gas evolution + chunk-5fd997bf730fefbe622c9cec52b1d3db + unknown_source + 1752104774 + + + 8.0 + Nitric acid photodecomposition releases oxygen gas. + decomposition product,gas production + chunk-5fd997bf730fefbe622c9cec52b1d3db unknown_source - 1752050398 + 1752104774 - + 7.0 - Water is formed as a result of nitric acid photodecomposition. - chemical synthesis,reaction product - chunk-19ff3bd9fb2635b72b0d70f58e920f97 + The reaction between iron oxide and nitric acid produces nitrogen dioxide. + chemical byproduct,gas formation + chunk-5fd997bf730fefbe622c9cec52b1d3db unknown_source - 1752050398 + 1752104774 - - 10.0 - Hydrogen combusts with oxygen, producing water and energy. - combustion,exothermic reaction - chunk-19ff3bd9fb2635b72b0d70f58e920f97 + + 8.0 + The reaction produces iron nitrate as a main product. + chemical synthesis,salt formation + chunk-5fd997bf730fefbe622c9cec52b1d3db unknown_source - 1752050398 + 1752104774 diff --git a/dsLightRag/Topic/Chemistry/kv_store_doc_status.json b/dsLightRag/Topic/Chemistry/kv_store_doc_status.json index 47913f91..ed89c268 100644 --- a/dsLightRag/Topic/Chemistry/kv_store_doc_status.json +++ b/dsLightRag/Topic/Chemistry/kv_store_doc_status.json @@ -1,12 +1,12 @@ { - "doc-19ff3bd9fb2635b72b0d70f58e920f97": { + "doc-5fd997bf730fefbe622c9cec52b1d3db": { "status": "processed", "chunks_count": 1, - "content": "硝酸光照分解的方程式\n$$4HNO_{3}overset{overset{}{phantom{Delta}}}{underset{underset{}{text{或光照}}}{=}}4NO_{2} uparrow + O_{2} uparrow + 2HO_{2}$$\n氢气与氧气燃烧的现象如下图所示：\n![](./Images/9ba64b1cd9ce42c38fb3f5066692edc2/media/image1.png)", - "content_summary": "硝酸光照分解的方程式\n$$4HNO_{3}overset{overset{}{phantom{Delta}}}{underset{underset{}{text{或光照}}}{=}}4NO_{2} uparrow + O_{2} uparrow + 2HO_{2}$$\n氢气与氧气燃烧的现象如下图所示：\n![](./Images/9ba64b1cd9ce42c38fb3f5066692edc2/media/image1.png)", - "content_length": 215, - "created_at": "2025-07-09T08:39:31.336276+00:00", - "updated_at": "2025-07-09T08:40:00.261476+00:00", + "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/8612cb0424824085a08c1d3a74583afc/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$$2H_{2} + O_{2}overset{ov...", + "content_length": 344, + "created_at": "2025-07-09T23:45:34.608899+00:00", + "updated_at": "2025-07-09T23:46:15.833943+00:00", "file_path": "unknown_source" } } \ No newline at end of file diff --git a/dsLightRag/Topic/Chemistry/kv_store_full_docs.json b/dsLightRag/Topic/Chemistry/kv_store_full_docs.json index e0c74517..16c5337c 100644 --- a/dsLightRag/Topic/Chemistry/kv_store_full_docs.json +++ b/dsLightRag/Topic/Chemistry/kv_store_full_docs.json @@ -1,5 +1,5 @@ { - "doc-19ff3bd9fb2635b72b0d70f58e920f97": { - "content": "硝酸光照分解的方程式\n$$4HNO_{3}overset{overset{}{phantom{Delta}}}{underset{underset{}{text{或光照}}}{=}}4NO_{2} uparrow + O_{2} uparrow + 2HO_{2}$$\n氢气与氧气燃烧的现象如下图所示：\n![](./Images/9ba64b1cd9ce42c38fb3f5066692edc2/media/image1.png)" + "doc-5fd997bf730fefbe622c9cec52b1d3db": { + "content": "硝酸光照分解的方程式\n$$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/8612cb0424824085a08c1d3a74583afc/media/image1.png)" } } \ 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 c0fbb0c9..3873f75d 100644 --- a/dsLightRag/Topic/Chemistry/kv_store_llm_response_cache.json +++ b/dsLightRag/Topic/Chemistry/kv_store_llm_response_cache.json @@ -2671,6 +2671,46 @@ "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{}{phantom{Delta}}}{underset{underset{}{text{或光照}}}{=}}4NO_{2} uparrow + O_{2} uparrow + 2HO_{2}$$\\n氢气与氧气燃烧的现象如下图所示：\\n![](./Images/9ba64b1cd9ce42c38fb3f5066692edc2/media/image1.png)\\n######################\\nOutput:\"}, {\"role\": \"assistant\", \"content\": \"(\\\"entity\\\"<|>\\\"硝酸光照分解的方程式\\\"<|>\\\"event\\\"<|>\\\"The equation describes the photodecomposition of nitric acid under light, producing nitrogen dioxide, oxygen, and water.\\\")##\\n(\\\"entity\\\"<|>\\\"氢气与氧气燃烧的现象\\\"<|>\\\"event\\\"<|>\\\"The phenomenon describes the combustion of hydrogen and oxygen, as illustrated in the provided image.\\\")##\\n(\\\"content_keywords\\\"<|>\\\"chemical reactions, photodecomposition, combustion\\\")<|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:" + }, + "4e37e16bb15ff4cd5e8edb4581e053ab": { + "return": "(\"entity\"<|>\"Nitric Acid (HNO₃)\"<|>\"category\"<|>\"Nitric acid is a chemical compound involved in photodecomposition and reactions with iron oxide.\")##\n(\"entity\"<|>\"Iron Oxide (FeO)\"<|>\"category\"<|>\"Iron oxide is a chemical compound that reacts with nitric acid under heating conditions.\")##\n(\"entity\"<|>\"Hydrogen (H₂)\"<|>\"category\"<|>\"Hydrogen is a gas that combusts with oxygen to form water.\")##\n(\"entity\"<|>\"Oxygen (O₂)\"<|>\"category\"<|>\"Oxygen is a gas that reacts with hydrogen in a combustion reaction.\")##\n(\"entity\"<|>\"Water (H₂O)\"<|>\"category\"<|>\"Water is the product of the combustion reaction between hydrogen and oxygen.\")##\n(\"entity\"<|>\"Nitrogen Dioxide (NO₂)\"<|>\"category\"<|>\"Nitrogen dioxide is a gas produced in the photodecomposition of nitric acid and its reaction with iron oxide.\")##\n(\"entity\"<|>\"Photodecomposition Reaction\"<|>\"event\"<|>\"A chemical reaction where nitric acid decomposes under light to produce nitrogen dioxide, oxygen, and water.\")##\n(\"entity\"<|>\"Combustion Reaction\"<|>\"event\"<|>\"A chemical reaction where hydrogen and oxygen combine to form water, releasing energy.\")##\n(\"relationship\"<|>\"Nitric Acid (HNO₃)\"<|>\"Photodecomposition Reaction\"<|>\"Nitric acid undergoes photodecomposition to produce nitrogen dioxide, oxygen, and water.\"<|>\"chemical reaction, decomposition\"<|>9)##\n(\"relationship\"<|>\"Iron Oxide (FeO)\"<|>\"Nitric Acid (HNO₃)\"<|>\"Iron oxide reacts with nitric acid under heating to produce iron nitrate, hydrogen, and nitrogen dioxide.\"<|>\"chemical reaction, heating\"<|>8)##\n(\"relationship\"<|>\"Hydrogen (H₂)\"<|>\"Combustion Reaction\"<|>\"Hydrogen reacts with oxygen in a combustion reaction to form water.\"<|>\"chemical reaction, energy release\"<|>10)##\n(\"content_keywords\"<|>\"chemical reactions, photodecomposition, combustion, nitric acid, iron oxide\")<|COMPLETE|>", + "cache_type": "extract", + "chunk_id": "chunk-80aa43c07b79e05fdd0ce3c99c3de9fb", + "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{}{phantom{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{}{phantom{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/fa5f158d20274811b66d434ec4414f2d/media/image1.png)\n######################\nOutput:" + }, + "bd40caaec36b2cdacec8d1111203d044": { + "return": "(\"entity\"<|>\"Nitric Acid (HNO₃)\"<|>\"category\"<|>\"A strong mineral acid involved in photodecomposition and oxidation reactions, producing nitrogen dioxide and oxygen when exposed to light.\")##\n(\"entity\"<|>\"Iron Oxide (FeO)\"<|>\"category\"<|>\"A chemical compound that reacts with nitric acid under heating conditions to produce iron nitrate, hydrogen gas, and nitrogen dioxide.\")##\n(\"entity\"<|>\"Hydrogen (H₂)\"<|>\"category\"<|>\"A flammable gas that undergoes combustion with oxygen to produce water, releasing energy in the process.\")##\n(\"entity\"<|>\"Oxygen (O₂)\"<|>\"category\"<|>\"A reactive gas involved in combustion reactions and produced as a byproduct in nitric acid photodecomposition.\")##\n(\"entity\"<|>\"Water (H₂O)\"<|>\"category\"<|>\"The product of hydrogen combustion, formed when hydrogen reacts with oxygen.\")##\n(\"entity\"<|>\"Nitrogen Dioxide (NO₂)\"<|>\"category\"<|>\"A toxic reddish-brown gas produced in both nitric acid photodecomposition and iron oxide reactions.\")##\n(\"entity\"<|>\"Iron Nitrate (Fe(NO₃)₃)\"<|>\"category\"<|>\"A compound formed when iron oxide reacts with nitric acid under heating conditions.\")##\n(\"entity\"<|>\"Photodecomposition Reaction\"<|>\"event\"<|>\"The chemical process where nitric acid breaks down into nitrogen dioxide, oxygen, and water when exposed to light.\")##\n(\"entity\"<|>\"Oxidation Reaction\"<|>\"event\"<|>\"The chemical reaction between iron oxide and nitric acid that produces iron nitrate, hydrogen, and nitrogen dioxide.\")##\n(\"entity\"<|>\"Combustion Reaction\"<|>\"event\"<|>\"The exothermic chemical reaction between hydrogen and oxygen that produces water.\")##\n(\"relationship\"<|>\"Nitric Acid (HNO₃)\"<|>\"Photodecomposition Reaction\"<|>\"Nitric acid undergoes photodecomposition when exposed to light, producing nitrogen dioxide, oxygen, and water.\"<|>\"chemical decomposition, light-induced\"<|>10)##\n(\"relationship\"<|>\"Iron Oxide (FeO)\"<|>\"Nitric Acid (HNO₃)\"<|>\"Iron oxide reacts with nitric acid when heated, producing iron nitrate, hydrogen gas, and nitrogen dioxide.\"<|>\"oxidation reaction, acid-base\"<|>9)##\n(\"relationship\"<|>\"Hydrogen (H₂)\"<|>\"Oxygen (O₂)\"<|>\"Hydrogen combusts with oxygen in an exothermic reaction to produce water.\"<|>\"combustion, energy release\"<|>10)##\n(\"relationship\"<|>\"Nitric Acid (HNO₃)\"<|>\"Nitrogen Dioxide (NO₂)\"<|>\"Nitric acid produces nitrogen dioxide as a primary product in both its photodecomposition and reaction with iron oxide.\"<|>\"gas production, chemical byproduct\"<|>8)##\n(\"relationship\"<|>\"Iron Oxide (FeO)\"<|>\"Iron Nitrate (Fe(NO₃)₃)\"<|>\"Iron oxide transforms into iron nitrate when reacting with nitric acid under heating conditions.\"<|>\"chemical transformation, product formation\"<|>8)##\n(\"relationship\"<|>\"Photodecomposition Reaction\"<|>\"Nitrogen Dioxide (NO₂)\"<|>\"The photodecomposition of nitric acid produces nitrogen dioxide as one of its main products.\"<|>\"decomposition product, gas evolution\"<|>9)##\n(\"relationship\"<|>\"Oxidation Reaction\"<|>\"Iron Nitrate (Fe(NO₃)₃)\"<|>\"The oxidation reaction between iron oxide and nitric acid results in the formation of iron nitrate.\"<|>\"chemical synthesis, inorganic compound\"<|>9)##\n(\"relationship\"<|>\"Combustion Reaction\"<|>\"Water (H₂O)\"<|>\"The combustion of hydrogen with oxygen produces water as the sole product.\"<|>\"product formation, exothermic\"<|>10)##\n(\"content_keywords\"<|>\"chemical reactions, acid decomposition, oxidation, combustion, inorganic chemistry\")<|COMPLETE|>", + "cache_type": "extract", + "chunk_id": "chunk-80aa43c07b79e05fdd0ce3c99c3de9fb", + "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{}{phantom{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{}{phantom{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/fa5f158d20274811b66d434ec4414f2d/media/image1.png)\\n######################\\nOutput:\"}, {\"role\": \"assistant\", \"content\": \"(\\\"entity\\\"<|>\\\"Nitric Acid (HNO₃)\\\"<|>\\\"category\\\"<|>\\\"Nitric acid is a chemical compound involved in photodecomposition and reactions with iron oxide.\\\")##\\n(\\\"entity\\\"<|>\\\"Iron Oxide (FeO)\\\"<|>\\\"category\\\"<|>\\\"Iron oxide is a chemical compound that reacts with nitric acid under heating conditions.\\\")##\\n(\\\"entity\\\"<|>\\\"Hydrogen (H₂)\\\"<|>\\\"category\\\"<|>\\\"Hydrogen is a gas that combusts with oxygen to form water.\\\")##\\n(\\\"entity\\\"<|>\\\"Oxygen (O₂)\\\"<|>\\\"category\\\"<|>\\\"Oxygen is a gas that reacts with hydrogen in a combustion reaction.\\\")##\\n(\\\"entity\\\"<|>\\\"Water (H₂O)\\\"<|>\\\"category\\\"<|>\\\"Water is the product of the combustion reaction between hydrogen and oxygen.\\\")##\\n(\\\"entity\\\"<|>\\\"Nitrogen Dioxide (NO₂)\\\"<|>\\\"category\\\"<|>\\\"Nitrogen dioxide is a gas produced in the photodecomposition of nitric acid and its reaction with iron oxide.\\\")##\\n(\\\"entity\\\"<|>\\\"Photodecomposition Reaction\\\"<|>\\\"event\\\"<|>\\\"A chemical reaction where nitric acid decomposes under light to produce nitrogen dioxide, oxygen, and water.\\\")##\\n(\\\"entity\\\"<|>\\\"Combustion Reaction\\\"<|>\\\"event\\\"<|>\\\"A chemical reaction where hydrogen and oxygen combine to form water, releasing energy.\\\")##\\n(\\\"relationship\\\"<|>\\\"Nitric Acid (HNO₃)\\\"<|>\\\"Photodecomposition Reaction\\\"<|>\\\"Nitric acid undergoes photodecomposition to produce nitrogen dioxide, oxygen, and water.\\\"<|>\\\"chemical reaction, decomposition\\\"<|>9)##\\n(\\\"relationship\\\"<|>\\\"Iron Oxide (FeO)\\\"<|>\\\"Nitric Acid (HNO₃)\\\"<|>\\\"Iron oxide reacts with nitric acid under heating to produce iron nitrate, hydrogen, and nitrogen dioxide.\\\"<|>\\\"chemical reaction, heating\\\"<|>8)##\\n(\\\"relationship\\\"<|>\\\"Hydrogen (H₂)\\\"<|>\\\"Combustion Reaction\\\"<|>\\\"Hydrogen reacts with oxygen in a combustion reaction to form water.\\\"<|>\\\"chemical reaction, energy release\\\"<|>10)##\\n(\\\"content_keywords\\\"<|>\\\"chemical reactions, photodecomposition, combustion, nitric acid, iron oxide\\\")<|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:" + }, + "9f2349262cc3f145b33d698cf584be33": { + "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) reacts with nitric acid under heating to produce iron nitrate, water, and nitrogen dioxide.\")##\n(\"entity\"<|>\"Hydrogen\"<|>\"category\"<|>\"Hydrogen (H₂) is a chemical element that reacts with oxygen in a combustion reaction to form water.\")##\n(\"entity\"<|>\"Oxygen\"<|>\"category\"<|>\"Oxygen (O₂) is a chemical element involved in combustion reactions, such as with hydrogen to form water.\")##\n(\"entity\"<|>\"Water\"<|>\"category\"<|>\"Water (H₂O) 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 undergo a combustion reaction to form water.\"<|>\"combustion, chemical reaction\"<|>9)##\n(\"content_keywords\"<|>\"chemical reactions, photodecomposition, combustion, chemistry, equations\")<|COMPLETE|>", + "cache_type": "extract", + "chunk_id": "chunk-5fd997bf730fefbe622c9cec52b1d3db", + "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/8612cb0424824085a08c1d3a74583afc/media/image1.png)\n######################\nOutput:" + }, + "4a8fd261b9b3e8c2a378288783a9e153": { + "return": "(\"entity\"<|>\"Nitric Acid Photodecomposition\"<|>\"event\"<|>\"The chemical reaction where nitric acid decomposes under light to produce nitrogen dioxide, oxygen, and water.\")##\n(\"entity\"<|>\"Iron Oxide-Nitric Acid Reaction\"<|>\"event\"<|>\"The chemical reaction where iron oxide reacts with nitric acid under heating to produce iron nitrate, water, and nitrogen dioxide.\")##\n(\"entity\"<|>\"Hydrogen-Oxygen Combustion\"<|>\"event\"<|>\"The chemical reaction where hydrogen burns with oxygen to produce water.\")##\n(\"entity\"<|>\"Nitrogen Dioxide\"<|>\"category\"<|>\"NO₂ is a product of both nitric acid photodecomposition and iron oxide-nitric acid reactions.\")##\n(\"entity\"<|>\"Oxygen Gas\"<|>\"category\"<|>\"O₂ is produced in nitric acid photodecomposition and consumed in hydrogen-oxygen combustion.\")##\n(\"entity\"<|>\"Iron Nitrate\"<|>\"category\"<|>\"Fe(NO₃)₃ is produced in the reaction between iron oxide and nitric acid.\")##\n(\"entity\"<|>\"Water\"<|>\"category\"<|>\"H₂O is produced in both iron oxide-nitric acid reaction and hydrogen-oxygen combustion.\")##\n(\"relationship\"<|>\"Nitric Acid\"<|>\"Nitric Acid Photodecomposition\"<|>\"Nitric acid undergoes photodecomposition to produce nitrogen dioxide and oxygen.\"<|>\"chemical decomposition, light reaction\"<|>9)##\n(\"relationship\"<|>\"Iron Oxide\"<|>\"Iron Oxide-Nitric Acid Reaction\"<|>\"Iron oxide reacts with nitric acid under heating to form iron nitrate.\"<|>\"acid-base reaction, thermal decomposition\"<|>8)##\n(\"relationship\"<|>\"Hydrogen\"<|>\"Hydrogen-Oxygen Combustion\"<|>\"Hydrogen combusts with oxygen to form water.\"<|>\"redox reaction, combustion\"<|>10)##\n(\"relationship\"<|>\"Nitric Acid Photodecomposition\"<|>\"Nitrogen Dioxide\"<|>\"Nitric acid photodecomposition produces nitrogen dioxide as a product.\"<|>\"chemical product, gas evolution\"<|>7)##\n(\"relationship\"<|>\"Iron Oxide-Nitric Acid Reaction\"<|>\"Nitrogen Dioxide\"<|>\"The reaction between iron oxide and nitric acid produces nitrogen dioxide.\"<|>\"chemical byproduct, gas formation\"<|>7)##\n(\"relationship\"<|>\"Hydrogen-Oxygen Combustion\"<|>\"Water\"<|>\"Hydrogen-oxygen combustion produces water as the main product.\"<|>\"chemical synthesis, exothermic reaction\"<|>9)##\n(\"relationship\"<|>\"Nitric Acid Photodecomposition\"<|>\"Oxygen Gas\"<|>\"Nitric acid photodecomposition releases oxygen gas.\"<|>\"gas production, decomposition product\"<|>8)##\n(\"relationship\"<|>\"Iron Oxide-Nitric Acid Reaction\"<|>\"Iron Nitrate\"<|>\"The reaction produces iron nitrate as a main product.\"<|>\"salt formation, chemical synthesis\"<|>8)##\n(\"content_keywords\"<|>\"chemical reactions, photochemistry, combustion, acid-base reactions, gas evolution\")<|COMPLETE|>", + "cache_type": "extract", + "chunk_id": "chunk-5fd997bf730fefbe622c9cec52b1d3db", + "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/8612cb0424824085a08c1d3a74583afc/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) reacts with nitric acid under heating to produce iron nitrate, water, and nitrogen dioxide.\\\")##\\n(\\\"entity\\\"<|>\\\"Hydrogen\\\"<|>\\\"category\\\"<|>\\\"Hydrogen (H₂) is a chemical element that reacts with oxygen in a combustion reaction to form water.\\\")##\\n(\\\"entity\\\"<|>\\\"Oxygen\\\"<|>\\\"category\\\"<|>\\\"Oxygen (O₂) is a chemical element involved in combustion reactions, such as with hydrogen to form water.\\\")##\\n(\\\"entity\\\"<|>\\\"Water\\\"<|>\\\"category\\\"<|>\\\"Water (H₂O) 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 undergo a combustion reaction to form water.\\\"<|>\\\"combustion, chemical reaction\\\"<|>9)##\\n(\\\"content_keywords\\\"<|>\\\"chemical reactions, photodecomposition, combustion, chemistry, equations\\\")<|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:" } } } \ 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 9edc24e0..a433860c 100644 --- a/dsLightRag/Topic/Chemistry/kv_store_text_chunks.json +++ b/dsLightRag/Topic/Chemistry/kv_store_text_chunks.json @@ -1,9 +1,9 @@ { - "chunk-19ff3bd9fb2635b72b0d70f58e920f97": { - "tokens": 117, - "content": "硝酸光照分解的方程式\n$$4HNO_{3}overset{overset{}{phantom{Delta}}}{underset{underset{}{text{或光照}}}{=}}4NO_{2} uparrow + O_{2} uparrow + 2HO_{2}$$\n氢气与氧气燃烧的现象如下图所示：\n![](./Images/9ba64b1cd9ce42c38fb3f5066692edc2/media/image1.png)", + "chunk-5fd997bf730fefbe622c9cec52b1d3db": { + "tokens": 197, + "content": "硝酸光照分解的方程式\n$$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$$\n![](./Images/8612cb0424824085a08c1d3a74583afc/media/image1.png)", "chunk_order_index": 0, - "full_doc_id": "doc-19ff3bd9fb2635b72b0d70f58e920f97", + "full_doc_id": "doc-5fd997bf730fefbe622c9cec52b1d3db", "file_path": "unknown_source" } } \ No newline at end of file diff --git a/dsLightRag/Topic/Chemistry/vdb_chunks.json b/dsLightRag/Topic/Chemistry/vdb_chunks.json index 08beae8c..52344b40 100644 --- a/dsLightRag/Topic/Chemistry/vdb_chunks.json +++ b/dsLightRag/Topic/Chemistry/vdb_chunks.json @@ -1 +1 @@ -{"embedding_dim": 1024, "data": [{"__id__": "chunk-19ff3bd9fb2635b72b0d70f58e920f97", "__created_at__": 1752050371, "content": "硝酸光照分解的方程式\n$$4HNO_{3}overset{overset{}{phantom{Delta}}}{underset{underset{}{text{或光照}}}{=}}4NO_{2} uparrow + O_{2} uparrow + 2HO_{2}$$\n氢气与氧气燃烧的现象如下图所示：\n![](./Images/9ba64b1cd9ce42c38fb3f5066692edc2/media/image1.png)", "full_doc_id": "doc-19ff3bd9fb2635b72b0d70f58e920f97", "file_path": "unknown_source"}], "matrix": "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"} \ No newline at end of file +{"embedding_dim": 1024, "data": [{"__id__": "chunk-5fd997bf730fefbe622c9cec52b1d3db", "__created_at__": 1752104734, "content": "硝酸光照分解的方程式\n$$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/8612cb0424824085a08c1d3a74583afc/media/image1.png)", "full_doc_id": "doc-5fd997bf730fefbe622c9cec52b1d3db", "file_path": "unknown_source"}], "matrix": "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"} \ No newline at end of file diff --git a/dsLightRag/Topic/Chemistry/vdb_entities.json b/dsLightRag/Topic/Chemistry/vdb_entities.json index c3be15cf..2e0b0bf0 100644 --- a/dsLightRag/Topic/Chemistry/vdb_entities.json +++ b/dsLightRag/Topic/Chemistry/vdb_entities.json @@ -1 +1 @@ -{"embedding_dim": 1024, "data": [{"__id__": "ent-de0704ac872819107c7bc9cede5b8b3c", "__created_at__": 1752050398, "entity_name": "硝酸光照分解的方程式", "content": "硝酸光照分解的方程式\nThe equation describes the photodecomposition of nitric acid under light, producing nitrogen dioxide, oxygen, and water.", "source_id": "chunk-19ff3bd9fb2635b72b0d70f58e920f97", "file_path": "unknown_source"}, {"__id__": "ent-2d0c8c7bc3ec1f5f2f936377f7c2fb59", "__created_at__": 1752050398, "entity_name": "氢气与氧气燃烧的现象", "content": "氢气与氧气燃烧的现象\nThe phenomenon describes the combustion of hydrogen and oxygen, as illustrated in the provided image.", "source_id": "chunk-19ff3bd9fb2635b72b0d70f58e920f97", "file_path": "unknown_source"}, {"__id__": "ent-44635b939a0dac857d1d84583d9cdbfc", "__created_at__": 1752050398, "entity_name": "硝酸", "content": "硝酸\nNitric acid (HNO₃) is a highly corrosive mineral acid involved in the photodecomposition reaction.", "source_id": "chunk-19ff3bd9fb2635b72b0d70f58e920f97", "file_path": "unknown_source"}, {"__id__": "ent-ca7615ab70c01b3d5ccdfb5dbb00bb04", "__created_at__": 1752050398, "entity_name": "氮氧化物", "content": "氮氧化物\nNitrogen dioxide (NO₂) is a product of nitric acid decomposition, appearing as a reddish-brown gas.", "source_id": "chunk-19ff3bd9fb2635b72b0d70f58e920f97", "file_path": "unknown_source"}, {"__id__": "ent-5efee68823291bc4ac21479758bde4c4", "__created_at__": 1752050398, "entity_name": "氧气", "content": "氧气\nOxygen (O₂) is produced as a byproduct in nitric acid decomposition and is essential for combustion.", "source_id": "chunk-19ff3bd9fb2635b72b0d70f58e920f97", "file_path": "unknown_source"}, {"__id__": "ent-eab619fba24a1ea828eebee4f54a138f", "__created_at__": 1752050398, "entity_name": "水", "content": "水\nWater (H₂O) is formed in the photodecomposition of nitric acid.", "source_id": "chunk-19ff3bd9fb2635b72b0d70f58e920f97", "file_path": "unknown_source"}, {"__id__": "ent-a9fd7dcf0855ca37941cd02429f5cef9", "__created_at__": 1752050398, "entity_name": "氢气", "content": "氢气\nHydrogen (H₂) is involved in the combustion reaction with oxygen, producing water.", "source_id": "chunk-19ff3bd9fb2635b72b0d70f58e920f97", "file_path": "unknown_source"}, {"__id__": "ent-dde9a447b2a15bf1818a818f8b3b78fd", "__created_at__": 1752050398, "entity_name": "光照", "content": "光照\nLight acts as a catalyst in the decomposition of nitric acid.", "source_id": "chunk-19ff3bd9fb2635b72b0d70f58e920f97", "file_path": "unknown_source"}, {"__id__": "ent-89fc1a5221abf7595c7133b651e73adc", "__created_at__": 1752050398, "entity_name": "燃烧", "content": "燃烧\nCombustion refers to the rapid chemical reaction between hydrogen and oxygen, releasing energy.", "source_id": "chunk-19ff3bd9fb2635b72b0d70f58e920f97", "file_path": "unknown_source"}], "matrix": "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"} \ No newline at end of file +{"embedding_dim": 1024, "data": [{"__id__": "ent-28910c9747db991734c7c471be861a0e", "__created_at__": 1752104774, "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-5fd997bf730fefbe622c9cec52b1d3db", "file_path": "unknown_source"}, {"__id__": "ent-25da832997a0aff5c601866819f976b6", "__created_at__": 1752104774, "entity_name": "Iron Oxide", "content": "Iron Oxide\nIron oxide (FeO) reacts with nitric acid under heating to produce iron nitrate, water, and nitrogen dioxide.", "source_id": "chunk-5fd997bf730fefbe622c9cec52b1d3db", "file_path": "unknown_source"}, {"__id__": "ent-e4ce2ac56db8b92aa60065aee6884c25", "__created_at__": 1752104774, "entity_name": "Hydrogen", "content": "Hydrogen\nHydrogen (H₂) is a chemical element that reacts with oxygen in a combustion reaction to form water.", "source_id": "chunk-5fd997bf730fefbe622c9cec52b1d3db", "file_path": "unknown_source"}, {"__id__": "ent-990bf420df89c0c6edf606be2022cbea", "__created_at__": 1752104774, "entity_name": "Oxygen", "content": "Oxygen\nOxygen (O₂) is a chemical element involved in combustion reactions, such as with hydrogen to form water.", "source_id": "chunk-5fd997bf730fefbe622c9cec52b1d3db", "file_path": "unknown_source"}, {"__id__": "ent-27634ff8002b12e75d98e07ccd005d18", "__created_at__": 1752104774, "entity_name": "Water", "content": "Water\nWater (H₂O) is the product of the combustion reaction between hydrogen and oxygen.", "source_id": "chunk-5fd997bf730fefbe622c9cec52b1d3db", "file_path": "unknown_source"}, {"__id__": "ent-57b582e852a2bd6fd7a29f0b49254ede", "__created_at__": 1752104774, "entity_name": "Nitric Acid Photodecomposition", "content": "Nitric Acid Photodecomposition\nThe chemical reaction where nitric acid decomposes under light to produce nitrogen dioxide, oxygen, and water.", "source_id": "chunk-5fd997bf730fefbe622c9cec52b1d3db", "file_path": "unknown_source"}, {"__id__": "ent-38ae38dedd508293095fd476a839fe0d", "__created_at__": 1752104774, "entity_name": "Iron Oxide-Nitric Acid Reaction", "content": "Iron Oxide-Nitric Acid Reaction\nThe chemical reaction where iron oxide reacts with nitric acid under heating to produce iron nitrate, water, and nitrogen dioxide.", "source_id": "chunk-5fd997bf730fefbe622c9cec52b1d3db", "file_path": "unknown_source"}, {"__id__": "ent-ce2543a807395dfe2dae7ab5f773a204", "__created_at__": 1752104774, "entity_name": "Hydrogen-Oxygen Combustion", "content": "Hydrogen-Oxygen Combustion\nThe chemical reaction where hydrogen burns with oxygen to produce water.", "source_id": "chunk-5fd997bf730fefbe622c9cec52b1d3db", "file_path": "unknown_source"}, {"__id__": "ent-8956959f0a4b8b0cc0ec1276ff1ea096", "__created_at__": 1752104774, "entity_name": "Nitrogen Dioxide", "content": "Nitrogen Dioxide\nNO₂ is a product of both nitric acid photodecomposition and iron oxide-nitric acid reactions.", "source_id": "chunk-5fd997bf730fefbe622c9cec52b1d3db", "file_path": "unknown_source"}, {"__id__": "ent-7705772acf1b506275366a4ddbfcda76", "__created_at__": 1752104774, "entity_name": "Oxygen Gas", "content": "Oxygen Gas\nO₂ is produced in nitric acid photodecomposition and consumed in hydrogen-oxygen combustion.", "source_id": "chunk-5fd997bf730fefbe622c9cec52b1d3db", "file_path": "unknown_source"}, {"__id__": "ent-f168f7b110939759992482a8fc06f229", "__created_at__": 1752104774, "entity_name": "Iron Nitrate", "content": "Iron Nitrate\nFe(NO₃)₃ is produced in the reaction between iron oxide and nitric acid.", "source_id": "chunk-5fd997bf730fefbe622c9cec52b1d3db", "file_path": "unknown_source"}], "matrix": "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"} \ No newline at end of file diff --git a/dsLightRag/Topic/Chemistry/vdb_relationships.json b/dsLightRag/Topic/Chemistry/vdb_relationships.json index 618b6001..9e1598e4 100644 --- a/dsLightRag/Topic/Chemistry/vdb_relationships.json +++ b/dsLightRag/Topic/Chemistry/vdb_relationships.json @@ -1 +1 @@ -{"embedding_dim": 1024, "data": [{"__id__": "rel-dfbc6b886ad698fa248c56e0517cbf96", "__created_at__": 1752050399, "src_id": "光照", "tgt_id": "硝酸", "content": "光照\t硝酸\ndecomposition,photochemical reaction\nNitric acid decomposes under light, producing nitrogen dioxide, oxygen, and water.", "source_id": "chunk-19ff3bd9fb2635b72b0d70f58e920f97", "file_path": "unknown_source"}, {"__id__": "rel-160441d147cfe7777a9723167faeb22a", "__created_at__": 1752050399, "src_id": "氢气", "tgt_id": "氧气", "content": "氢气\t氧气\ncombustion,exothermic reaction\nHydrogen combusts with oxygen, producing water and energy.", "source_id": "chunk-19ff3bd9fb2635b72b0d70f58e920f97", "file_path": "unknown_source"}, {"__id__": "rel-b8c82ff525534ebddd7e68090cc57592", "__created_at__": 1752050399, "src_id": "氮氧化物", "tgt_id": "硝酸", "content": "氮氧化物\t硝酸\nchemical product,reaction outcome\nNitrogen dioxide is a direct product of nitric acid decomposition.", "source_id": "chunk-19ff3bd9fb2635b72b0d70f58e920f97", "file_path": "unknown_source"}, {"__id__": "rel-5e16b08731bc1c12e2d2e6b6c4db5069", "__created_at__": 1752050399, "src_id": "氧气", "tgt_id": "硝酸", "content": "氧气\t硝酸\ngas evolution,reaction byproduct\nOxygen is released as a byproduct during nitric acid decomposition.", "source_id": "chunk-19ff3bd9fb2635b72b0d70f58e920f97", "file_path": "unknown_source"}, {"__id__": "rel-3ff279b0a2ca9afae4202b9865145b2e", "__created_at__": 1752050399, "src_id": "水", "tgt_id": "硝酸", "content": "水\t硝酸\nchemical synthesis,reaction product\nWater is formed as a result of nitric acid photodecomposition.", "source_id": "chunk-19ff3bd9fb2635b72b0d70f58e920f97", "file_path": "unknown_source"}], "matrix": "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"} \ No newline at end of file +{"embedding_dim": 1024, "data": [{"__id__": "rel-19fc003f86fe0ab223780b80bb3cbdcb", "__created_at__": 1752104775, "src_id": "Iron Oxide", "tgt_id": "Nitric Acid", "content": "Iron Oxide\tNitric Acid\nchemical reaction,heating\nNitric acid reacts with iron oxide under heating to produce iron nitrate, water, and nitrogen dioxide.", "source_id": "chunk-5fd997bf730fefbe622c9cec52b1d3db", "file_path": "unknown_source"}, {"__id__": "rel-40ca1814ff3034c4057137e8874eb6f1", "__created_at__": 1752104775, "src_id": "Hydrogen", "tgt_id": "Oxygen", "content": "Hydrogen\tOxygen\nchemical reaction,combustion\nHydrogen and oxygen undergo a combustion reaction to form water.", "source_id": "chunk-5fd997bf730fefbe622c9cec52b1d3db", "file_path": "unknown_source"}, {"__id__": "rel-c51da7149939bddff2f3324ca5a7f5fb", "__created_at__": 1752104775, "src_id": "Nitric Acid", "tgt_id": "Nitric Acid Photodecomposition", "content": "Nitric Acid\tNitric Acid Photodecomposition\nchemical decomposition,light reaction\nNitric acid undergoes photodecomposition to produce nitrogen dioxide and oxygen.", "source_id": "chunk-5fd997bf730fefbe622c9cec52b1d3db", "file_path": "unknown_source"}, {"__id__": "rel-5e97621c480d87477326ec8d7d1e48c9", "__created_at__": 1752104775, "src_id": "Iron Oxide", "tgt_id": "Iron Oxide-Nitric Acid Reaction", "content": "Iron Oxide\tIron Oxide-Nitric Acid Reaction\nacid-base reaction,thermal decomposition\nIron oxide reacts with nitric acid under heating to form iron nitrate.", "source_id": "chunk-5fd997bf730fefbe622c9cec52b1d3db", "file_path": "unknown_source"}, {"__id__": "rel-43246df7327695d1da94e061cbc29262", "__created_at__": 1752104775, "src_id": "Hydrogen", "tgt_id": "Hydrogen-Oxygen Combustion", "content": "Hydrogen\tHydrogen-Oxygen Combustion\ncombustion,redox reaction\nHydrogen combusts with oxygen to form water.", "source_id": "chunk-5fd997bf730fefbe622c9cec52b1d3db", "file_path": "unknown_source"}, {"__id__": "rel-6a4baaa1b7a5d716d3092f79f6e3386c", "__created_at__": 1752104775, "src_id": "Nitric Acid Photodecomposition", "tgt_id": "Nitrogen Dioxide", "content": "Nitric Acid Photodecomposition\tNitrogen Dioxide\nchemical product,gas evolution\nNitric acid photodecomposition produces nitrogen dioxide as a product.", "source_id": "chunk-5fd997bf730fefbe622c9cec52b1d3db", "file_path": "unknown_source"}, {"__id__": "rel-ba515dc3f0817a65259ff07d6b7ced06", "__created_at__": 1752104775, "src_id": "Iron Oxide-Nitric Acid Reaction", "tgt_id": "Nitrogen Dioxide", "content": "Iron Oxide-Nitric Acid Reaction\tNitrogen Dioxide\nchemical byproduct,gas formation\nThe reaction between iron oxide and nitric acid produces nitrogen dioxide.", "source_id": "chunk-5fd997bf730fefbe622c9cec52b1d3db", "file_path": "unknown_source"}, {"__id__": "rel-48222648012ab60670be1b1929e8d1b3", "__created_at__": 1752104775, "src_id": "Hydrogen-Oxygen Combustion", "tgt_id": "Water", "content": "Hydrogen-Oxygen Combustion\tWater\nchemical synthesis,exothermic reaction\nHydrogen-oxygen combustion produces water as the main product.", "source_id": "chunk-5fd997bf730fefbe622c9cec52b1d3db", "file_path": "unknown_source"}, {"__id__": "rel-da4a4d912cc7ccbc6eebd6ece5baaefa", "__created_at__": 1752104775, "src_id": "Nitric Acid Photodecomposition", "tgt_id": "Oxygen Gas", "content": "Nitric Acid Photodecomposition\tOxygen Gas\ndecomposition product,gas production\nNitric acid photodecomposition releases oxygen gas.", "source_id": "chunk-5fd997bf730fefbe622c9cec52b1d3db", "file_path": "unknown_source"}, {"__id__": "rel-396958649e393dea60fbe5158edc9960", "__created_at__": 1752104775, "src_id": "Iron Nitrate", "tgt_id": "Iron Oxide-Nitric Acid Reaction", "content": "Iron Nitrate\tIron Oxide-Nitric Acid Reaction\nchemical synthesis,salt formation\nThe reaction produces iron nitrate as a main product.", "source_id": "chunk-5fd997bf730fefbe622c9cec52b1d3db", "file_path": "unknown_source"}], "matrix": "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"} \ No newline at end of file diff --git a/dsLightRag/Util/DocxUtil.py b/dsLightRag/Util/DocxUtil.py index 4afd4903..960403b4 100644 --- a/dsLightRag/Util/DocxUtil.py +++ b/dsLightRag/Util/DocxUtil.py @@ -44,6 +44,7 @@ def get_docx_content_by_pandoc(docx_file): content += q + "\n" else: content += line.strip().replace("**", "") + "\n" + content=content.replace("\phantom","") # 将content回写到markdown文件 with open(temp_markdown, 'w', encoding='utf-8') as f: f.write(content) diff --git a/dsLightRag/Util/__pycache__/DocxUtil.cpython-310.pyc b/dsLightRag/Util/__pycache__/DocxUtil.cpython-310.pyc index df2e0b41..c91b246d 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/Images/8612cb0424824085a08c1d3a74583afc/media/image1.png b/dsLightRag/static/Images/8612cb0424824085a08c1d3a74583afc/media/image1.png new file mode 100644 index 00000000..3c219b5e Binary files /dev/null and b/dsLightRag/static/Images/8612cb0424824085a08c1d3a74583afc/media/image1.png differ diff --git a/dsLightRag/static/Images/fa5f158d20274811b66d434ec4414f2d/media/image1.png b/dsLightRag/static/Images/fa5f158d20274811b66d434ec4414f2d/media/image1.png new file mode 100644 index 00000000..3c219b5e Binary files /dev/null and b/dsLightRag/static/Images/fa5f158d20274811b66d434ec4414f2d/media/image1.png differ diff --git a/dsLightRag/static/Txt/Chemistry.docx b/dsLightRag/static/Txt/Chemistry.docx index 508cd45c..084717c7 100644 Binary files a/dsLightRag/static/Txt/Chemistry.docx and b/dsLightRag/static/Txt/Chemistry.docx differ diff --git a/dsLightRag/static/markdown/Chemistry.md b/dsLightRag/static/markdown/Chemistry.md index 8fdacb2b..8c993beb 100644 --- a/dsLightRag/static/markdown/Chemistry.md +++ b/dsLightRag/static/markdown/Chemistry.md @@ -1,4 +1,7 @@ 硝酸光照分解的方程式 -$$4HNO_{3}\overset{\overset{}{\phantom{\Delta}}}{\underset{\underset{}{\text{或光照}}}{=}}4NO_{2} \uparrow + O_{2} \uparrow + 2HO_{2}$$ +$$4HNO_{3}\overset{\overset{}{{\Delta}}}{=}4NO_{2} \uparrow + O_{2} \uparrow + 2HO_{2}$$ +氧化铁与硝酸的加热反应方程式 +$$FeO + 4HNO_{3}\overset{\overset{}{{\Delta}}}{=}Fe(NO_{3})_{3} + 2H_{2} \uparrow + NO_{2} \uparrow$$ 氢气与氧气燃烧的现象如下图所示： -![](./Images/9ba64b1cd9ce42c38fb3f5066692edc2/media/image1.png) +$$2H_{2} + O_{2}\overset{\overset{}{\text{燃烧}}}{=}2H_{2}O$$ +![](./Images/8612cb0424824085a08c1d3a74583afc/media/image1.png)