dsProject/dsRagAnything/Topic/Math/kv_store_llm_response_cache.json

{
  "default": {
    "3acd88ead6c297e35b65ed334f0a37a1": {
      "return": "(\"entity\"<|>\"氧化铁\"<|>\"category\"<|>\"氧化铁是一种化学物质，可以与硝酸发生反应。\")##\n(\"entity\"<|>\"硝酸\"<|>\"category\"<|>\"硝酸是一种强酸，可以与氧化铁发生化学反应。\")##\n(\"entity\"<|>\"氢气\"<|>\"category\"<|>\"氢气是一种化学元素，可以与氧气燃烧生成水。\")##\n(\"entity\"<|>\"氧气\"<|>\"category\"<|>\"氧气是一种化学元素，可以与氢气燃烧生成水。\")##\n(\"relationship\"<|>\"氧化铁\"<|>\"硝酸\"<|>\"氧化铁和硝酸可以发生化学反应，生成相应的产物。\"<|>\"化学反应, 酸碱反应\"<|>8)##\n(\"relationship\"<|>\"氢气\"<|>\"氧气\"<|>\"氢气和氧气可以燃烧生成水。\"<|>\"化学反应, 燃烧反应\"<|>9)##\n(\"content_keywords\"<|>\"化学反应, 化学方程式, 酸碱反应, 燃烧反应\")<|COMPLETE|>",
      "cache_type": "extract",
      "chunk_id": "chunk-4a0e35cee101ddc2ad73de221349ac1a",
      "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\"<|><entity_name><|><entity_type><|><entity_description>)\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\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_keywords><|><relationship_strength>)\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\"<|><high_level_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氧化铁和硝酸的反应方程式1\n\n氢气与氧气燃烧的方程式\n######################\nOutput:"
    },
    "05f4e544d6e79a0c11715ae46b830918": {
      "return": "(\"entity\"<|>\"氧化铁\"<|>\"category\"<|>\"氧化铁是一种化学物质，可以与硝酸发生反应。\")##\n(\"entity\"<|>\"硝酸\"<|>\"category\"<|>\"硝酸是一种强酸，可以与氧化铁发生化学反应。\")##\n(\"entity\"<|>\"氢气\"<|>\"category\"<|>\"氢气是一种化学元素，可以与氧气燃烧生成水。\")##\n(\"entity\"<|>\"氧气\"<|>\"category\"<|>\"氧气是一种化学元素，可以与氢气燃烧生成水。\")##\n(\"entity\"<|>\"氧化铁和硝酸的反应方程式\"<|>\"event\"<|>\"描述氧化铁与硝酸发生的化学反应过程。\")##\n(\"entity\"<|>\"氢气与氧气燃烧的方程式\"<|>\"event\"<|>\"描述氢气与氧气燃烧生成水的化学反应过程。\")##\n(\"relationship\"<|>\"氧化铁\"<|>\"硝酸\"<|>\"氧化铁和硝酸可以发生化学反应，生成相应的产物。\"<|>\"化学反应, 酸碱反应\"<|>8)##\n(\"relationship\"<|>\"氢气\"<|>\"氧气\"<|>\"氢气和氧气可以燃烧生成水。\"<|>\"化学反应, 燃烧反应\"<|>9)##\n(\"relationship\"<|>\"氧化铁和硝酸的反应方程式\"<|>\"氧化铁\"<|>\"该方程式描述了氧化铁在反应中的行为。\"<|>\"化学描述, 反应过程\"<|>7)##\n(\"relationship\"<|>\"氧化铁和硝酸的反应方程式\"<|>\"硝酸\"<|>\"该方程式描述了硝酸在反应中的行为。\"<|>\"化学描述, 反应过程\"<|>7)##\n(\"relationship\"<|>\"氢气与氧气燃烧的方程式\"<|>\"氢气\"<|>\"该方程式描述了氢气在燃烧反应中的行为。\"<|>\"化学描述, 反应过程\"<|>8)##\n(\"relationship\"<|>\"氢气与氧气燃烧的方程式\"<|>\"氧气\"<|>\"该方程式描述了氧气在燃烧反应中的行为。\"<|>\"化学描述, 反应过程\"<|>8)##\n(\"content_keywords\"<|>\"化学反应, 化学方程式, 酸碱反应, 燃烧反应, 化学过程\")<|COMPLETE|>",
      "cache_type": "extract",
      "chunk_id": "chunk-4a0e35cee101ddc2ad73de221349ac1a",
      "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\\\"<|><entity_name><|><entity_type><|><entity_description>)\\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\\\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_keywords><|><relationship_strength>)\\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\\\"<|><high_level_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氧化铁和硝酸的反应方程式1\\n\\n氢气与氧气燃烧的方程式\\n######################\\nOutput:\"}, {\"role\": \"assistant\", \"content\": \"(\\\"entity\\\"<|>\\\"氧化铁\\\"<|>\\\"category\\\"<|>\\\"氧化铁是一种化学物质，可以与硝酸发生反应。\\\")##\\n(\\\"entity\\\"<|>\\\"硝酸\\\"<|>\\\"category\\\"<|>\\\"硝酸是一种强酸，可以与氧化铁发生化学反应。\\\")##\\n(\\\"entity\\\"<|>\\\"氢气\\\"<|>\\\"category\\\"<|>\\\"氢气是一种化学元素，可以与氧气燃烧生成水。\\\")##\\n(\\\"entity\\\"<|>\\\"氧气\\\"<|>\\\"category\\\"<|>\\\"氧气是一种化学元素，可以与氢气燃烧生成水。\\\")##\\n(\\\"relationship\\\"<|>\\\"氧化铁\\\"<|>\\\"硝酸\\\"<|>\\\"氧化铁和硝酸可以发生化学反应，生成相应的产物。\\\"<|>\\\"化学反应, 酸碱反应\\\"<|>8)##\\n(\\\"relationship\\\"<|>\\\"氢气\\\"<|>\\\"氧气\\\"<|>\\\"氢气和氧气可以燃烧生成水。\\\"<|>\\\"化学反应, 燃烧反应\\\"<|>9)##\\n(\\\"content_keywords\\\"<|>\\\"化学反应, 化学方程式, 酸碱反应, 燃烧反应\\\")<|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\"<|><entity_name><|><entity_type><|><entity_description>)\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\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_keywords><|><relationship_strength>)\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\"<|><high_level_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:"
    },
    "6fe116e64fca56e373b93840e3b093f3": {
      "return": "(\"entity\"<|>\"Iron(II) Oxide\"<|>\"category\"<|>\"Iron(II) Oxide (FeO) is a chemical compound involved in the reaction with nitric acid.\")##\n(\"entity\"<|>\"Nitric Acid\"<|>\"category\"<|>\"Nitric Acid (HNO₃) is a chemical compound that reacts with iron(II) oxide to produce iron(III) nitrate and other byproducts.\")##\n(\"entity\"<|>\"Iron(III) Nitrate\"<|>\"category\"<|>\"Iron(III) Nitrate (Fe(NO₃)₃) is a product of the chemical reaction between iron(II) oxide and nitric acid.\")##\n(\"entity\"<|>\"Hydrogen Gas\"<|>\"category\"<|>\"Hydrogen Gas (H₂) is a byproduct released during the chemical reaction.\")##\n(\"entity\"<|>\"Nitrogen Dioxide\"<|>\"category\"<|>\"Nitrogen Dioxide (NO₂) is a byproduct released during the chemical reaction.\")##\n(\"relationship\"<|>\"Iron(II) Oxide\"<|>\"Nitric Acid\"<|>\"Iron(II) Oxide reacts with Nitric Acid to produce Iron(III) Nitrate, Hydrogen Gas, and Nitrogen Dioxide.\"<|>\"chemical reaction, reactants\"<|>10)##\n(\"relationship\"<|>\"Iron(II) Oxide\"<|>\"Iron(III) Nitrate\"<|>\"Iron(II) Oxide is transformed into Iron(III) Nitrate during the reaction.\"<|>\"chemical transformation, product formation\"<|>9)##\n(\"relationship\"<|>\"Nitric Acid\"<|>\"Hydrogen Gas\"<|>\"Nitric Acid contributes to the release of Hydrogen Gas as a byproduct.\"<|>\"reaction byproduct, gas release\"<|>8)##\n(\"relationship\"<|>\"Nitric Acid\"<|>\"Nitrogen Dioxide\"<|>\"Nitric Acid contributes to the release of Nitrogen Dioxide as a byproduct.\"<|>\"reaction byproduct, gas release\"<|>8)##\n(\"content_keywords\"<|>\"chemical reaction, reactants, products, byproducts, transformation\")<|COMPLETE|>",
      "cache_type": "extract",
      "chunk_id": "chunk-985d57ce5151ad231023134ce6b73ab6",
      "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\"<|><entity_name><|><entity_type><|><entity_description>)\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\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_keywords><|><relationship_strength>)\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\"<|><high_level_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:\nMathematical Equation Analysis:\nEquation: $$\nF e O + 4 H N O _ { 3 } { \\stackrel { \\Delta } { = } } F e \\left( N O _ { 3 } \\right) _ { 3 } + 2 H _ { 2 } \\uparrow + N O _ { 2 } \\uparrow\n$$\nFormat: latex\n\nMathematical Analysis: ```json\n{\n    \"detailed_description\": \"The given equation represents a chemical reaction between iron(II) oxide (FeO) and nitric acid (HNO₃), producing iron(III) nitrate (Fe(NO₃)\n######################\nOutput:"
    },
    "55c1fa1eb7da5e21c6fb23bffc6d6131": {
      "return": "(\"entity\"<|>\"Chemical Reaction\"<|>\"event\"<|>\"The chemical reaction between iron(II) oxide and nitric acid under heat produces iron(III) nitrate, hydrogen gas, and nitrogen dioxide.\")##\n(\"entity\"<|>\"Heat (Δ)\"<|>\"category\"<|>\"Heat is a required condition for the chemical reaction to occur, indicated by the Δ symbol in the equation.\")##\n(\"entity\"<|>\"LaTeX Format\"<|>\"category\"<|>\"The equation is presented in LaTeX format, a typesetting system commonly used for mathematical and scientific documents.\")##\n(\"entity\"<|>\"Mathematical Analysis\"<|>\"category\"<|>\"The JSON structure provides a detailed mathematical and chemical analysis of the reaction.\")##\n(\"entity\"<|>\"JSON Format\"<|>\"category\"<|>\"The analysis is presented in JSON format, a lightweight data-interchange format.\")##\n(\"relationship\"<|>\"Iron(II) Oxide\"<|>\"Chemical Reaction\"<|>\"Iron(II) Oxide is one of the primary reactants in the described chemical reaction.\"<|>\"reactant, chemical process\"<|>9)##\n(\"relationship\"<|>\"Nitric Acid\"<|>\"Chemical Reaction\"<|>\"Nitric Acid is one of the primary reactants in the described chemical reaction.\"<|>\"reactant, chemical process\"<|>9)##\n(\"relationship\"<|>\"Heat (Δ)\"<|>\"Chemical Reaction\"<|>\"Heat is required to initiate and sustain the chemical reaction between Iron(II) Oxide and Nitric Acid.\"<|>\"reaction condition, energy input\"<|>8)##\n(\"relationship\"<|>\"Chemical Reaction\"<|>\"Iron(III) Nitrate\"<|>\"Iron(III) Nitrate is one of the main products formed by the chemical reaction.\"<|>\"product formation, chemical output\"<|>9)##\n(\"relationship\"<|>\"Chemical Reaction\"<|>\"Hydrogen Gas\"<|>\"Hydrogen Gas is a byproduct released during the chemical reaction.\"<|>\"byproduct, gas evolution\"<|>7)##\n(\"relationship\"<|>\"Chemical Reaction\"<|>\"Nitrogen Dioxide\"<|>\"Nitrogen Dioxide is a byproduct released during the chemical reaction.\"<|>\"byproduct, gas evolution\"<|>7)##\n(\"relationship\"<|>\"LaTeX Format\"<|>\"Mathematical Equation\"<|>\"The chemical equation is formatted using LaTeX, indicating its scientific documentation.\"<|>\"scientific notation, typesetting\"<|>6)##\n(\"relationship\"<|>\"Mathematical Analysis\"<|>\"JSON Format\"<|>\"The detailed analysis of the chemical reaction is presented in structured JSON format.\"<|>\"data structure, analysis documentation\"<|>6)##\n(\"content_keywords\"<|>\"chemical reaction, reactants and products, scientific notation, data analysis, reaction conditions\")<|COMPLETE|>",
      "cache_type": "extract",
      "chunk_id": "chunk-985d57ce5151ad231023134ce6b73ab6",
      "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\\\"<|><entity_name><|><entity_type><|><entity_description>)\\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\\\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_keywords><|><relationship_strength>)\\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\\\"<|><high_level_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:\\nMathematical Equation Analysis:\\nEquation: $$\\nF e O + 4 H N O _ { 3 } { \\\\stackrel { \\\\Delta } { = } } F e \\\\left( N O _ { 3 } \\\\right) _ { 3 } + 2 H _ { 2 } \\\\uparrow + N O _ { 2 } \\\\uparrow\\n$$\\nFormat: latex\\n\\nMathematical Analysis: ```json\\n{\\n    \\\"detailed_description\\\": \\\"The given equation represents a chemical reaction between iron(II) oxide (FeO) and nitric acid (HNO₃), producing iron(III) nitrate (Fe(NO₃)\\n######################\\nOutput:\"}, {\"role\": \"assistant\", \"content\": \"(\\\"entity\\\"<|>\\\"Iron(II) Oxide\\\"<|>\\\"category\\\"<|>\\\"Iron(II) Oxide (FeO) is a chemical compound involved in the reaction with nitric acid.\\\")##\\n(\\\"entity\\\"<|>\\\"Nitric Acid\\\"<|>\\\"category\\\"<|>\\\"Nitric Acid (HNO₃) is a chemical compound that reacts with iron(II) oxide to produce iron(III) nitrate and other byproducts.\\\")##\\n(\\\"entity\\\"<|>\\\"Iron(III) Nitrate\\\"<|>\\\"category\\\"<|>\\\"Iron(III) Nitrate (Fe(NO₃)₃) is a product of the chemical reaction between iron(II) oxide and nitric acid.\\\")##\\n(\\\"entity\\\"<|>\\\"Hydrogen Gas\\\"<|>\\\"category\\\"<|>\\\"Hydrogen Gas (H₂) is a byproduct released during the chemical reaction.\\\")##\\n(\\\"entity\\\"<|>\\\"Nitrogen Dioxide\\\"<|>\\\"category\\\"<|>\\\"Nitrogen Dioxide (NO₂) is a byproduct released during the chemical reaction.\\\")##\\n(\\\"relationship\\\"<|>\\\"Iron(II) Oxide\\\"<|>\\\"Nitric Acid\\\"<|>\\\"Iron(II) Oxide reacts with Nitric Acid to produce Iron(III) Nitrate, Hydrogen Gas, and Nitrogen Dioxide.\\\"<|>\\\"chemical reaction, reactants\\\"<|>10)##\\n(\\\"relationship\\\"<|>\\\"Iron(II) Oxide\\\"<|>\\\"Iron(III) Nitrate\\\"<|>\\\"Iron(II) Oxide is transformed into Iron(III) Nitrate during the reaction.\\\"<|>\\\"chemical transformation, product formation\\\"<|>9)##\\n(\\\"relationship\\\"<|>\\\"Nitric Acid\\\"<|>\\\"Hydrogen Gas\\\"<|>\\\"Nitric Acid contributes to the release of Hydrogen Gas as a byproduct.\\\"<|>\\\"reaction byproduct, gas release\\\"<|>8)##\\n(\\\"relationship\\\"<|>\\\"Nitric Acid\\\"<|>\\\"Nitrogen Dioxide\\\"<|>\\\"Nitric Acid contributes to the release of Nitrogen Dioxide as a byproduct.\\\"<|>\\\"reaction byproduct, gas release\\\"<|>8)##\\n(\\\"content_keywords\\\"<|>\\\"chemical reaction, reactants, products, byproducts, transformation\\\")<|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\"<|><entity_name><|><entity_type><|><entity_description>)\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\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_keywords><|><relationship_strength>)\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\"<|><high_level_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:"
    },
    "6277037a82715db92e5a65a40611ab18": {
      "return": "(\"entity\"<|>\"Hydrogen Gas (H₂)\"<|>\"category\"<|>\"Hydrogen gas is a diatomic molecule that acts as a reactant in the chemical equation, combining with oxygen to form water.\")##\n(\"entity\"<|>\"Oxygen Gas (O₂)\"<|>\"category\"<|>\"Oxygen gas is a diatomic molecule that reacts with hydrogen gas to produce water in the chemical equation.\")##\n(\"entity\"<|>\"Water (H₂O)\"<|>\"category\"<|>\"Water is the product of the chemical reaction between hydrogen and oxygen, formed in a 2:1 ratio with hydrogen.\")##\n(\"entity\"<|>\"Chemical Reaction\"<|>\"event\"<|>\"The chemical reaction represents the transformation of hydrogen and oxygen into water, adhering to the law of conservation of mass.\")##\n(\"entity\"<|>\"Stoichiometry\"<|>\"category\"<|>\"Stoichiometry refers to the quantitative relationships between reactants and products in the chemical equation, ensuring atomic conservation.\")##\n(\"entity\"<|>\"Combustion\"<|>\"category\"<|>\"Combustion is an application domain of the reaction, where hydrogen and oxygen react exothermically to produce water and energy.\")##\n(\"entity\"<|>\"Fuel Cells\"<|>\"organization\"<|>\"Fuel cells utilize the reaction between hydrogen and oxygen to produce electricity, with water as a byproduct.\")##\n(\"relationship\"<|>\"Hydrogen Gas (H₂)\"<|>\"Oxygen Gas (O₂)\"<|>\"Hydrogen and oxygen gases react in a 2:1 ratio to form water, demonstrating a balanced chemical equation.\"<|>\"chemical reaction, stoichiometry\"<|>9)##\n(\"relationship\"<|>\"Hydrogen Gas (H₂)\"<|>\"Water (H₂O)\"<|>\"Hydrogen gas is a reactant that transforms into water in the chemical reaction.\"<|>\"reactant-product, synthesis\"<|>8)##\n(\"relationship\"<|>\"Oxygen Gas (O₂)\"<|>\"Water (H₂O)\"<|>\"Oxygen gas reacts with hydrogen to form water, adhering to conservation of mass.\"<|>\"reactant-product, energy release\"<|>8)##\n(\"relationship\"<|>\"Chemical Reaction\"<|>\"Stoichiometry\"<|>\"The chemical reaction is governed by stoichiometric principles, ensuring balanced molar ratios.\"<|>\"quantitative analysis, conservation laws\"<|>7)##\n(\"relationship\"<|>\"Combustion\"<|>\"Chemical Reaction\"<|>\"The reaction is central to combustion processes, releasing energy and producing water.\"<|>\"energy production, exothermic reaction\"<|>9)##\n(\"relationship\"<|>\"Fuel Cells\"<|>\"Chemical Reaction\"<|>\"Fuel cells harness the reaction between hydrogen and oxygen to generate clean energy.\"<|>\"energy technology, sustainability\"<|>8)##\n(\"content_keywords\"<|>\"chemical equation, stoichiometry, combustion, energy production, redox reaction\")<|COMPLETE|>",
      "cache_type": "extract",
      "chunk_id": "chunk-2d91748ceef7dce1c0469421d68a189a",
      "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\"<|><entity_name><|><entity_type><|><entity_description>)\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\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_keywords><|><relationship_strength>)\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\"<|><high_level_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:\nMathematical Equation Analysis:\nEquation: $$\n2 H _ { 2 } + O _ { 2 } = 2 H _ { 2 } O .\n$$\nFormat: latex\n\nMathematical Analysis: The equation $$2 H _ { 2 } + O _ { 2 } = 2 H _ { 2 } O$$ represents a balanced chemical reaction where hydrogen gas (H₂) reacts with oxygen gas (O₂) to form water (H₂O). Here is the mathematical analysis:\n\n- **Mathematical Meaning and Interpretation**: This is a stoichiometric equation where the coefficients (2, 1, 2) indicate the molar ratios of reactants and products. It adheres to the law of conservation of mass, as the number of atoms for each element is equal on both sides.\n\n- **Variables and Definitions**: \n  - H₂: Diatomic hydrogen molecule (reactant).\n  - O₂: Diatomic oxygen molecule (reactant).\n  - H₂O: Water molecule (product).\n\n- **Mathematical Operations**: The equation uses integer coefficients to balance the reaction, ensuring atomic conservation. The '+' denotes combination, and '=' denotes transformation.\n\n- **Application Domain**: This is a fundamental reaction in chemistry, particularly in combustion, energy production (e.g., fuel cells), and thermodynamics.\n\n- **Physical Significance**: The reaction is highly exothermic, releasing energy, and is central to processes like respiration and rocket propulsion.\n\n- **Relationship to Other Concepts**: In the given context, it parallels the reaction of iron oxide with nitric acid, as both are examples of redox reactions. However, this one is a synthesis (combination) reaction.\n\n- **Practical Applications**: Used in fuel cells, hydrogen-based energy systems, and understanding combustion dynamics.\n\n- **Broader Framework**: Part of foundational chemistry, illustrating stoichiometry, reaction balancing, and energy transformations.\n######################\nOutput:"
    },
    "dca198bd8e4d7c6c0aceb1daaf99f8de": {
      "return": "(\"entity\"<|>\"Law of Conservation of Mass\"<|>\"category\"<|>\"A fundamental principle in chemistry stating that matter cannot be created or destroyed in a chemical reaction, only rearranged.\")##\n(\"entity\"<|>\"Redox Reaction\"<|>\"category\"<|>\"A type of chemical reaction involving the transfer of electrons between species, exemplified by the hydrogen-oxygen reaction.\")##\n(\"entity\"<|>\"Exothermic Reaction\"<|>\"category\"<|>\"A chemical reaction that releases energy in the form of heat, as seen in the hydrogen-oxygen combustion.\")##\n(\"entity\"<|>\"Thermodynamics\"<|>\"category\"<|>\"The branch of physics dealing with energy transformations, relevant to understanding the energy release in the reaction.\")##\n(\"entity\"<|>\"Rocket Propulsion\"<|>\"category\"<|>\"An application of the hydrogen-oxygen reaction where the released energy is used to propel rockets.\")##\n(\"entity\"<|>\"Iron Oxide\"<|>\"category\"<|>\"A compound mentioned as part of a parallel redox reaction context, though not directly in this equation.\")##\n(\"entity\"<|>\"Nitric Acid\"<|>\"category\"<|>\"A chemical mentioned in comparison to demonstrate another example of redox reactions.\")##\n(\"relationship\"<|>\"Chemical Reaction\"<|>\"Law of Conservation of Mass\"<|>\"The reaction adheres to the law of conservation of mass, with balanced atoms on both sides.\"<|>\"chemical principles, atomic balance\"<|>9)##\n(\"relationship\"<|>\"Chemical Reaction\"<|>\"Redox Reaction\"<|>\"The hydrogen-oxygen reaction is a classic example of a redox reaction involving electron transfer.\"<|>\"electron transfer, oxidation-reduction\"<|>8)##\n(\"relationship\"<|>\"Chemical Reaction\"<|>\"Exothermic Reaction\"<|>\"The reaction releases significant energy, classifying it as exothermic.\"<|>\"energy release, heat production\"<|>9)##\n(\"relationship\"<|>\"Chemical Reaction\"<|>\"Thermodynamics\"<|>\"The reaction's energy changes are studied within the framework of thermodynamics.\"<|>\"energy transformation, physical chemistry\"<|>7)##\n(\"relationship\"<|>\"Chemical Reaction\"<|>\"Rocket Propulsion\"<|>\"The reaction's energy release makes it practical for rocket propulsion systems.\"<|>\"energy application, aerospace technology\"<|>8)##\n(\"relationship\"<|>\"Redox Reaction\"<|>\"Iron Oxide\"<|>\"Both represent redox reactions, though iron oxide's reaction with nitric acid is a different example.\"<|>\"chemical parallels, reaction types\"<|>6)##\n(\"relationship\"<|>\"Redox Reaction\"<|>\"Nitric Acid\"<|>\"Nitric acid's reaction with iron oxide serves as another example of redox chemistry.\"<|>\"chemical comparison, reaction mechanisms\"<|>6)##\n(\"relationship\"<|>\"Stoichiometry\"<|>\"Law of Conservation of Mass\"<|>\"Stoichiometry ensures the reaction obeys the law of conservation of mass through balanced coefficients.\"<|>\"quantitative chemistry, mass balance\"<|>8)##\n(\"content_keywords\"<|>\"chemical kinetics, energy transformation, atomic conservation, reaction mechanisms, applied chemistry\")<|COMPLETE|>",
      "cache_type": "extract",
      "chunk_id": "chunk-2d91748ceef7dce1c0469421d68a189a",
      "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\\\"<|><entity_name><|><entity_type><|><entity_description>)\\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\\\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_keywords><|><relationship_strength>)\\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\\\"<|><high_level_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:\\nMathematical Equation Analysis:\\nEquation: $$\\n2 H _ { 2 } + O _ { 2 } = 2 H _ { 2 } O .\\n$$\\nFormat: latex\\n\\nMathematical Analysis: The equation $$2 H _ { 2 } + O _ { 2 } = 2 H _ { 2 } O$$ represents a balanced chemical reaction where hydrogen gas (H₂) reacts with oxygen gas (O₂) to form water (H₂O). Here is the mathematical analysis:\\n\\n- **Mathematical Meaning and Interpretation**: This is a stoichiometric equation where the coefficients (2, 1, 2) indicate the molar ratios of reactants and products. It adheres to the law of conservation of mass, as the number of atoms for each element is equal on both sides.\\n\\n- **Variables and Definitions**: \\n  - H₂: Diatomic hydrogen molecule (reactant).\\n  - O₂: Diatomic oxygen molecule (reactant).\\n  - H₂O: Water molecule (product).\\n\\n- **Mathematical Operations**: The equation uses integer coefficients to balance the reaction, ensuring atomic conservation. The '+' denotes combination, and '=' denotes transformation.\\n\\n- **Application Domain**: This is a fundamental reaction in chemistry, particularly in combustion, energy production (e.g., fuel cells), and thermodynamics.\\n\\n- **Physical Significance**: The reaction is highly exothermic, releasing energy, and is central to processes like respiration and rocket propulsion.\\n\\n- **Relationship to Other Concepts**: In the given context, it parallels the reaction of iron oxide with nitric acid, as both are examples of redox reactions. However, this one is a synthesis (combination) reaction.\\n\\n- **Practical Applications**: Used in fuel cells, hydrogen-based energy systems, and understanding combustion dynamics.\\n\\n- **Broader Framework**: Part of foundational chemistry, illustrating stoichiometry, reaction balancing, and energy transformations.\\n######################\\nOutput:\"}, {\"role\": \"assistant\", \"content\": \"(\\\"entity\\\"<|>\\\"Hydrogen Gas (H₂)\\\"<|>\\\"category\\\"<|>\\\"Hydrogen gas is a diatomic molecule that acts as a reactant in the chemical equation, combining with oxygen to form water.\\\")##\\n(\\\"entity\\\"<|>\\\"Oxygen Gas (O₂)\\\"<|>\\\"category\\\"<|>\\\"Oxygen gas is a diatomic molecule that reacts with hydrogen gas to produce water in the chemical equation.\\\")##\\n(\\\"entity\\\"<|>\\\"Water (H₂O)\\\"<|>\\\"category\\\"<|>\\\"Water is the product of the chemical reaction between hydrogen and oxygen, formed in a 2:1 ratio with hydrogen.\\\")##\\n(\\\"entity\\\"<|>\\\"Chemical Reaction\\\"<|>\\\"event\\\"<|>\\\"The chemical reaction represents the transformation of hydrogen and oxygen into water, adhering to the law of conservation of mass.\\\")##\\n(\\\"entity\\\"<|>\\\"Stoichiometry\\\"<|>\\\"category\\\"<|>\\\"Stoichiometry refers to the quantitative relationships between reactants and products in the chemical equation, ensuring atomic conservation.\\\")##\\n(\\\"entity\\\"<|>\\\"Combustion\\\"<|>\\\"category\\\"<|>\\\"Combustion is an application domain of the reaction, where hydrogen and oxygen react exothermically to produce water and energy.\\\")##\\n(\\\"entity\\\"<|>\\\"Fuel Cells\\\"<|>\\\"organization\\\"<|>\\\"Fuel cells utilize the reaction between hydrogen and oxygen to produce electricity, with water as a byproduct.\\\")##\\n(\\\"relationship\\\"<|>\\\"Hydrogen Gas (H₂)\\\"<|>\\\"Oxygen Gas (O₂)\\\"<|>\\\"Hydrogen and oxygen gases react in a 2:1 ratio to form water, demonstrating a balanced chemical equation.\\\"<|>\\\"chemical reaction, stoichiometry\\\"<|>9)##\\n(\\\"relationship\\\"<|>\\\"Hydrogen Gas (H₂)\\\"<|>\\\"Water (H₂O)\\\"<|>\\\"Hydrogen gas is a reactant that transforms into water in the chemical reaction.\\\"<|>\\\"reactant-product, synthesis\\\"<|>8)##\\n(\\\"relationship\\\"<|>\\\"Oxygen Gas (O₂)\\\"<|>\\\"Water (H₂O)\\\"<|>\\\"Oxygen gas reacts with hydrogen to form water, adhering to conservation of mass.\\\"<|>\\\"reactant-product, energy release\\\"<|>8)##\\n(\\\"relationship\\\"<|>\\\"Chemical Reaction\\\"<|>\\\"Stoichiometry\\\"<|>\\\"The chemical reaction is governed by stoichiometric principles, ensuring balanced molar ratios.\\\"<|>\\\"quantitative analysis, conservation laws\\\"<|>7)##\\n(\\\"relationship\\\"<|>\\\"Combustion\\\"<|>\\\"Chemical Reaction\\\"<|>\\\"The reaction is central to combustion processes, releasing energy and producing water.\\\"<|>\\\"energy production, exothermic reaction\\\"<|>9)##\\n(\\\"relationship\\\"<|>\\\"Fuel Cells\\\"<|>\\\"Chemical Reaction\\\"<|>\\\"Fuel cells harness the reaction between hydrogen and oxygen to generate clean energy.\\\"<|>\\\"energy technology, sustainability\\\"<|>8)##\\n(\\\"content_keywords\\\"<|>\\\"chemical equation, stoichiometry, combustion, energy production, redox reaction\\\")<|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\"<|><entity_name><|><entity_type><|><entity_description>)\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\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_keywords><|><relationship_strength>)\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\"<|><high_level_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:"
    }
  },
  "hybrid": {
<<<<<<< HEAD
    "2aa147fe2387a611b187f93614709710": {
      "return": "{\"high_level_keywords\": [\"\\u5316\\u5b66\\u53cd\\u5e94\", \"\\u6c27\\u5316\\u8fd8\\u539f\\u53cd\\u5e94\"], \"low_level_keywords\": [\"\\u6c27\\u5316\\u94c1\", \"\\u785d\\u9178\", \"\\u53cd\\u5e94\\u65b9\\u7a0b\\u5f0f\"]}",
=======
    "fc3284234d7b14d883b20618d5715b6b": {
      "return": "{\"high_level_keywords\": [\"\\u5c0f\\u5b66\\u6570\\u5b66\", \"\\u6559\\u80b2\\u6a21\\u578b\", \"\\u6570\\u5b66\\u6559\\u5b66\"], \"low_level_keywords\": [\"\\u52a0\\u51cf\\u6cd5\\u6a21\\u578b\", \"\\u51e0\\u4f55\\u56fe\\u5f62\", \"\\u5206\\u6570\\u6a21\\u578b\", \"\\u5e94\\u7528\\u9898\", \"\\u6570\\u8f74\"]}",
>>>>>>> 097b38400845e9c6e88091c490721e35f599bc4c
      "cache_type": "keywords",
      "chunk_id": null,
      "embedding": null,
      "embedding_shape": null,
      "embedding_min": null,
      "embedding_max": null,
<<<<<<< HEAD
      "original_prompt": "氧化铁和硝酸的反应方程式?"
    },
    "5b157a366b34673889b37e87f7314b3e": {
      "return": "根据提供的知识库，氧化铁（Iron(II) Oxide）与硝酸（Nitric Acid）的反应方程式如下：  \n\n### 反应方程式  \n$$\\  \nFeO + 4 HNO_3 \\stackrel{\\Delta}{=} Fe(NO_3)_3 + 2 H_2 \\uparrow + NO_2 \\uparrow  \n$$  \n\n### 反应描述  \n1. **反应物**：  \n   - 氧化铁（FeO）  \n   - 硝酸（HNO₃）  \n\n2. **条件**：  \n   - 需要加热（Δ符号表示）。  \n\n3. **生成物**：  \n   - 硝酸铁（Fe(NO₃)₃）  \n   - 氢气（H₂，气体形式逸出）  \n   - 二氧化氮（NO₂，气体形式逸出）  \n\n4. **反应类型**：  \n   - 属于氧化还原反应（Redox Reaction），涉及电子转移和化合价变化（如铁从+2价变为+3价）。  \n\n### 中文补充说明  \n知识库中也提到对应的中文表述：  \n- 氧化铁（氧化铁）与硝酸（硝酸）反应生成硝酸铁、氢气和二氧化氮（见“氧化铁和硝酸的反应方程式”实体）。  \n\n### 其他关联信息  \n- 该反应与“氢气与氧气燃烧生成水”的方程式（$$2H_2 + O_2 = 2H_2O$$）同为氧化还原反应的示例，但机制不同。  \n- 反应遵守质量守恒定律（Law of Conservation of Mass），方程式的系数已平衡。  \n\n### 参考文献  \n1. [KG] 化学方程式_CHEMISTRY_1.docx（实体：氧化铁和硝酸的反应方程式）  \n2. [DC] 化学方程式_CHEMISTRY_1.docx（LaTeX格式方程式及分析）  \n3. [KG] 化学方程式_CHEMISTRY_1.docx（实体：Chemical Reaction，描述硝酸与氧化铁的反应）  \n4. [KG] 化学方程式_CHEMISTRY_1.docx（关系：Iron(II) Oxide与Nitric Acid的反应关联）  \n5. [KG] 化学方程式_CHEMISTRY_1.docx（实体：Redox Reaction，反应类型说明）",
=======
      "original_prompt": "小学数学有哪些模型"
    },
    "6a2a99a3bd4688b079a45fedbd1cd493": {
      "return": "{\"high_level_keywords\": [\"\\u5c0f\\u5b66\\u6570\\u5b66\", \"\\u6570\\u5b66\\u6559\\u80b2\", \"\\u5b66\\u4e60\\u6a21\\u578b\"], \"low_level_keywords\": [\"\\u52a0\\u51cf\\u6cd5\\u6a21\\u578b\", \"\\u4e58\\u9664\\u6cd5\\u6a21\\u578b\", \"\\u51e0\\u4f55\\u56fe\\u5f62\", \"\\u5206\\u6570\\u6a21\\u578b\", \"\\u5e94\\u7528\\u9898\"]}",
      "cache_type": "keywords",
      "chunk_id": null,
      "embedding": null,
      "embedding_shape": null,
      "embedding_min": null,
      "embedding_max": null,
      "original_prompt": "小学数学中有哪些模型？"
    },
    "9b50a199b83407c62d8532b7b904c17d": {
      "return": "{\"high_level_keywords\": [\"\\u82cf\\u8f7c\", \"\\u5bb6\\u4eba\", \"\\u5bb6\\u5ead\\u5173\\u7cfb\"], \"low_level_keywords\": [\"\\u7236\\u4eb2\", \"\\u6bcd\\u4eb2\", \"\\u5144\\u5f1f\", \"\\u59bb\\u5b50\", \"\\u5b50\\u5973\"]}",
      "cache_type": "keywords",
      "chunk_id": null,
      "embedding": null,
      "embedding_shape": null,
      "embedding_min": null,
      "embedding_max": null,
      "original_prompt": "苏轼的家人都有谁？"
    },
    "585eef85444b748e7c7fce9281f7152b": {
      "return": "{\"high_level_keywords\": [\"\\u82cf\\u8f7c\", \"\\u5bb6\\u5ead\\u6210\\u5458\", \"\\u5bb6\\u65cf\\u5173\\u7cfb\"], \"low_level_keywords\": [\"\\u7a0b\\u592b\\u4eba\", \"\\u738b\\u5f17\", \"\\u82cf\\u8f99\", \"\\u82cf\\u8fc8\", \"\\u7709\\u5c71\"]}",
      "cache_type": "keywords",
      "chunk_id": null,
      "embedding": null,
      "embedding_shape": null,
      "embedding_min": null,
      "embedding_max": null,
      "original_prompt": "苏轼的家人都有谁？\n 不要输出参考资料！"
    },
    "5c5ee10a1a6deda17447c905118427e3": {
      "return": "{\"high_level_keywords\": [\"\\u82cf\\u8f7c\", \"\\u597d\\u53cb\", \"\\u4eba\\u9645\\u5173\\u7cfb\"], \"low_level_keywords\": [\"\\u9ec4\\u5ead\\u575a\", \"\\u79e6\\u89c2\", \"\\u7c73\\u82be\", \"\\u4f5b\\u5370\", \"\\u6587\\u4eba\\u4ea4\\u5f80\"]}",
      "cache_type": "keywords",
      "chunk_id": null,
      "embedding": null,
      "embedding_shape": null,
      "embedding_min": null,
      "embedding_max": null,
      "original_prompt": "苏轼的好朋友都有谁？\n 不要输出参考资料！"
    },
    "aa541ae622441668370c2515c5756622": {
      "return": "{\"high_level_keywords\": [\"\\u5c0f\\u5b66\\u6570\\u5b66\", \"\\u6570\\u5b66\\u6a21\\u578b\", \"\\u57fa\\u7840\\u6559\\u80b2\"], \"low_level_keywords\": [\"\\u52a0\\u51cf\\u6cd5\", \"\\u4e58\\u9664\\u6cd5\", \"\\u5206\\u6570\", \"\\u5c0f\\u6570\", \"\\u51e0\\u4f55\\u56fe\\u5f62\", \"\\u5e94\\u7528\\u9898\"]}",
      "cache_type": "keywords",
      "chunk_id": null,
      "embedding": null,
      "embedding_shape": null,
      "embedding_min": null,
      "embedding_max": null,
      "original_prompt": "小学数学中有哪些模型？\n 不要输出参考资料！"
    },
    "cef372244b52137466d4538968bdef8e": {
      "return": "{\"high_level_keywords\": [\"\\u5fae\\u79ef\\u5206\", \"\\u57fa\\u672c\\u5b9a\\u7406\", \"\\u6570\\u5b66\\u5206\\u6790\"], \"low_level_keywords\": [\"\\u5bfc\\u6570\", \"\\u79ef\\u5206\", \"\\u725b\\u987f-\\u83b1\\u5e03\\u5c3c\\u5179\\u516c\\u5f0f\", \"\\u51fd\\u6570\", \"\\u9762\\u79ef\"]}",
      "cache_type": "keywords",
      "chunk_id": null,
      "embedding": null,
      "embedding_shape": null,
      "embedding_min": null,
      "embedding_max": null,
      "original_prompt": "微积分的基本定理是什么？\n 不要输出参考资料！"
    },
    "7e5ce4bd3ec5160ecb223526b726b73d": {
      "return": "{\"high_level_keywords\": [\"\\u5fae\\u79ef\\u5206\", \"\\u57fa\\u672c\\u5b9a\\u7406\", \"\\u6570\\u5b66\\u539f\\u7406\"], \"low_level_keywords\": [\"\\u5bfc\\u6570\", \"\\u79ef\\u5206\", \"\\u51fd\\u6570\", \"\\u5fae\\u5206\\u5b66\", \"\\u79ef\\u5206\\u5b66\"]}",
      "cache_type": "keywords",
      "chunk_id": null,
      "embedding": null,
      "embedding_shape": null,
      "embedding_min": null,
      "embedding_max": null,
      "original_prompt": "微积分的基本定理是什么？\n 1、不要输出参考资料！\n 2、如果问题与提供的知识库内容不符，则明确告诉未在知识库范围内提到！"
    },
    "dd1b7f53e9b28a94d97890915f554ffe": {
      "return": "{\"high_level_keywords\": [\"\\u5c0f\\u5b66\\u6570\\u5b66\", \"\\u6a21\\u578b\", \"\\u6570\\u5b66\\u6559\\u5b66\"], \"low_level_keywords\": [\"\\u51e0\\u4f55\\u6a21\\u578b\", \"\\u4ee3\\u6570\\u6a21\\u578b\", \"\\u6570\\u5b57\\u6a21\\u578b\", \"\\u56fe\\u5f62\\u6a21\\u578b\", \"\\u5e94\\u7528\\u9898\\u6a21\\u578b\"]}",
      "cache_type": "keywords",
      "chunk_id": null,
      "embedding": null,
      "embedding_shape": null,
      "embedding_min": null,
      "embedding_max": null,
      "original_prompt": "小学数学中有哪些模型？\n 1、不要输出参考资料！\n 2、如果问题与提供的知识库内容不符，则明确告诉未在知识库范围内提到！"
    },
    "a11bdf6a9714f6d5fe11a734924ed67d": {
      "return": "{\"high_level_keywords\": [\"\\u6559\\u5b66\\u8bbe\\u8ba1\", \"\\u51e0\\u4f55\\u6982\\u5ff5\", \"\\u7a7a\\u95f4\\u8ba4\\u77e5\", \"\\u6570\\u5b66\\u6559\\u80b2\"], \"low_level_keywords\": [\"\\u70b9\", \"\\u7ebf\", \"\\u9762\", \"\\u4f53\", \"\\u89d2\"]}",
      "cache_type": "keywords",
      "chunk_id": null,
      "embedding": null,
      "embedding_shape": null,
      "embedding_min": null,
      "embedding_max": null,
      "original_prompt": "帮我写一下 如何理解点、线、面、体、角 的教学设计\n 1、不要输出参考资料！\n 2、如果问题与提供的知识库内容不符，则明确告诉未在知识库范围内提到！\n 3、严格按照知识库内容进行回答，不要随意发散！"
    },
    "add2f8fe8acd6b2b8f818756a8c4d322": {
      "return": "{\"high_level_keywords\": [\"\\u5c0f\\u5b66\\u6570\\u5b66\", \"\\u6a21\\u578b\", \"\\u6570\\u5b66\\u6559\\u5b66\"], \"low_level_keywords\": [\"\\u51e0\\u4f55\\u6a21\\u578b\", \"\\u4ee3\\u6570\\u6a21\\u578b\", \"\\u5e94\\u7528\\u9898\\u6a21\\u578b\", \"\\u56fe\\u5f62\\u6a21\\u578b\"]}",
      "cache_type": "keywords",
      "chunk_id": null,
      "embedding": null,
      "embedding_shape": null,
      "embedding_min": null,
      "embedding_max": null,
      "original_prompt": "小学数学中有哪些模型？\n 1、不要输出参考资料！\n 2、如果问题与提供的知识库内容不符，则明确告诉未在知识库范围内提到！\n 3、按照知识库内容进行回答，可适当扩展，但不要随意发散！"
    },
    "660cad009d0324583ce88c4912f21c8d": {
      "return": "{\"high_level_keywords\": [\"\\u5c0f\\u5b66\\u6570\\u5b66\", \"\\u6570\\u5b66\\u6a21\\u578b\", \"\\u6559\\u80b2\\u5185\\u5bb9\"], \"low_level_keywords\": [\"\\u6a21\\u578b\", \"\\u6570\\u5b66\\u6559\\u5b66\", \"\\u8bfe\\u7a0b\\u5185\\u5bb9\"]}",
      "cache_type": "keywords",
      "chunk_id": null,
      "embedding": null,
      "embedding_shape": null,
      "embedding_min": null,
      "embedding_max": null,
      "original_prompt": "小学数学中有哪些模型？\n 1、如果问题与提供的知识库内容不符，则明确告诉未在知识库范围内提到！\n 2、按照知识库内容进行回答，可适当扩展，但不要随意发散！"
    },
    "1aeec13410f14223c05d3a4e4207d1cc": {
      "return": "{\"high_level_keywords\": [\"\\u5c0f\\u5b66\\u6570\\u5b66\", \"\\u6570\\u5b66\\u6a21\\u578b\", \"\\u6559\\u80b2\\u5185\\u5bb9\"], \"low_level_keywords\": [\"\\u6a21\\u578b\\u7c7b\\u578b\", \"\\u6559\\u5b66\\u65b9\\u6cd5\", \"\\u8bfe\\u7a0b\\u7ed3\\u6784\"]}",
      "cache_type": "keywords",
      "chunk_id": null,
      "embedding": null,
      "embedding_shape": null,
      "embedding_min": null,
      "embedding_max": null,
      "original_prompt": "小学数学中有哪些模型？\n 1、不要输出参考资料 或者 References ！\n 2、如果问题与提供的知识库内容不符，则明确告诉未在知识库范围内提到！\n 3、严格按照知识库内容进行回答，不要进行推理！知识库中条目清晰体现的才算答案。"
    },
    "5cfe38f12c7e487e3b06c9a8159d0468": {
      "return": "{\"high_level_keywords\": [\"\\u5c0f\\u5b66\\u6570\\u5b66\", \"\\u5e38\\u89c1\\u6a21\\u578b\", \"\\u6570\\u5b66\\u6559\\u5b66\"], \"low_level_keywords\": [\"\\u52a0\\u51cf\\u6cd5\\u6a21\\u578b\", \"\\u4e58\\u9664\\u6cd5\\u6a21\\u578b\", \"\\u51e0\\u4f55\\u56fe\\u5f62\\u6a21\\u578b\", \"\\u5e94\\u7528\\u9898\\u6a21\\u578b\"]}",
      "cache_type": "keywords",
      "chunk_id": null,
      "embedding": null,
      "embedding_shape": null,
      "embedding_min": null,
      "embedding_max": null,
      "original_prompt": "小学数学中有哪些常见模型？\n 1、不要输出参考资料 或者 References ！\n 2、如果问题与提供的知识库内容不符，则明确告诉未在知识库范围内提到！\n 3、严格按照知识库内容进行回答，不要进行推理！知识库中条目清晰体现的才算答案。"
    },
    "1483fe9cdb027119c0758c80c9a9475b": {
      "return": "{\"high_level_keywords\": [\"\\u5c0f\\u5b66\\u6570\\u5b66\", \"\\u5e38\\u89c1\\u6a21\\u578b\", \"\\u6570\\u5b66\\u6559\\u5b66\"], \"low_level_keywords\": [\"\\u52a0\\u51cf\\u6cd5\\u6a21\\u578b\", \"\\u4e58\\u9664\\u6cd5\\u6a21\\u578b\", \"\\u51e0\\u4f55\\u56fe\\u5f62\\u6a21\\u578b\", \"\\u5206\\u6570\\u6a21\\u578b\", \"\\u5e94\\u7528\\u9898\\u6a21\\u578b\"]}",
      "cache_type": "keywords",
      "chunk_id": null,
      "embedding": null,
      "embedding_shape": null,
      "embedding_min": null,
      "embedding_max": null,
      "original_prompt": "小学数学中有哪些常见模型？？\n 1、不要输出参考资料 或者 References ！\n 2、如果问题与提供的知识库内容不符，则明确告诉未在知识库范围内提到！\n 3、严格按照知识库内容进行回答，不要进行推理！知识库中条目清晰体现的才算答案。"
    },
    "2ca4cce66cff2786beef562b80d2b126": {
      "return": "{\"high_level_keywords\": [\"\\u5bb6\\u5ead\\u6210\\u5458\", \"\\u82cf\\u8f7c\", \"\\u5bb6\\u65cf\\u5173\\u7cfb\"], \"low_level_keywords\": [\"\\u7a0b\\u6c0f\", \"\\u82cf\\u6d35\", \"\\u738b\\u5f17\", \"\\u82cf\\u8fc8\", \"\\u82cf\\u8fe8\", \"\\u82cf\\u8fc7\"]}",
      "cache_type": "keywords",
      "chunk_id": null,
      "embedding": null,
      "embedding_shape": null,
      "embedding_min": null,
      "embedding_max": null,
      "original_prompt": "苏轼的家人都有谁?\n 1、不要输出参考资料 或者 References ！\n 2、如果问题与提供的知识库内容不符，则明确告诉未在知识库范围内提到！\n 3、严格按照知识库内容进行回答，不要进行推理！知识库中条目清晰体现的才算答案。"
    },
    "71b83653df36350ef401ca5ba7d132cf": {
      "return": "{\"high_level_keywords\": [\"\\u82cf\\u8f7c\", \"\\u4eba\\u9645\\u5173\\u7cfb\", \"\\u5386\\u53f2\\u4eba\\u7269\"], \"low_level_keywords\": [\"\\u9ec4\\u5ead\\u575a\", \"\\u7c73\\u82be\", \"\\u8521\\u8944\", \"\\u6b27\\u9633\\u4fee\", \"\\u53f8\\u9a6c\\u5149\"]}",
      "cache_type": "keywords",
      "chunk_id": null,
      "embedding": null,
      "embedding_shape": null,
      "embedding_min": null,
      "embedding_max": null,
      "original_prompt": "苏轼的好朋友都有谁?\n 1、不要输出参考资料 或者 References ！\n 2、如果问题与提供的知识库内容不符，则明确告诉未在知识库范围内提到！"
    },
    "b02d54965d8a82801745fb1e44f1bf52": {
      "return": "{\"high_level_keywords\": [\"\\u82cf\\u8f7c\", \"\\u5bb6\\u4eba\", \"\\u5bb6\\u5ead\\u80cc\\u666f\"], \"low_level_keywords\": [\"\\u7236\\u4eb2\", \"\\u6bcd\\u4eb2\", \"\\u5144\\u5f1f\\u59d0\\u59b9\", \"\\u59bb\\u5b50\", \"\\u5b50\\u5973\"]}",
      "cache_type": "keywords",
      "chunk_id": null,
      "embedding": null,
      "embedding_shape": null,
      "embedding_min": null,
      "embedding_max": null,
      "original_prompt": "苏轼的家人都有谁?\n 1、不要输出参考资料 或者 References ！\n 2、如果问题与提供的知识库内容不符，则明确告诉未在知识库范围内提到！"
    },
    "9b37cd625bfa223f5c83501990ad6be1": {
      "return": "{\"high_level_keywords\": [\"\\u82cf\\u8f7c\", \"\\u5bb6\\u4eba\", \"\\u5bb6\\u5ead\\u5173\\u7cfb\"], \"low_level_keywords\": [\"\\u7236\\u4eb2\", \"\\u6bcd\\u4eb2\", \"\\u5144\\u5f1f\", \"\\u59d0\\u59b9\", \"\\u59bb\\u5b50\", \"\\u5b50\\u5973\", \"\\u82cf\\u6d35\", \"\\u82cf\\u8f99\"]}",
      "cache_type": "keywords",
      "chunk_id": null,
      "embedding": null,
      "embedding_shape": null,
      "embedding_min": null,
      "embedding_max": null,
      "original_prompt": "苏轼的家人都有谁?"
    },
    "e70ca446ac7a68719125a8c5975b56c1": {
      "return": "根据提供的知识图谱和文档片段，苏轼的家族成员主要包括以下人物：\n\n### 直系亲属\n1. **父亲**：苏洵（1009-1066），字明允，号老泉，北宋文学家，\"唐宋八大家\"之一，亲自教授苏轼与苏辙知识。\n2. **母亲**：程夫人（1010-1057），出身名门，以东汉名士范滂的事迹勉励苏轼砥砺名节，是苏轼兄弟的启蒙教师。\n3. **弟弟**：苏辙（1039-1112），字子由，号颍滨遗老，北宋官员、文学家，与苏轼并称\"二苏\"，同属\"唐宋八大家\"。\n\n### 配偶与子女\n1. **第一任妻子**：王弗（1039-1065），聪慧知书，陪伴苏轼多年，对其学习和生活有重要影响，生有长子苏迈。\n2. **第二任妻子**：王闰之（1048-1093），王弗堂妹，性格温顺，为苏轼生活提供稳定支持。\n3. **侍妾**：王朝云（朝云），生第四子苏遁（遯儿），深得苏轼赏识，常吟唱其词作，尤其对《蝶恋花》感触颇深。\n\n4. **子女**：\n   - 苏迈（1059-?）：长子，王弗所生\n   - 苏迨（1070-1126）：次子，初名叔寄\n   - 苏过（1073-1123）：第三子，字叔党\n   - 苏遁（1083-1084）：第四子，王朝云所生，小名干儿\n\n### 其他重要关系\n- **好友**：陈季常，苏轼曾作诗调侃其惧内之事，成就\"河东狮吼\"典故\n- **门生**：\"苏门四学士\"（黄庭坚、秦观、张耒、晁补之）及\"苏门六君子\"\n\n苏轼家族以\"三苏\"（苏洵、苏轼、苏辙）闻名，其家庭成员间的深厚感情和相互影响在其文学创作和人生轨迹中均有明显体现。\n\nReferences:\n[KG] 苏轼.docx (苏洵、苏辙、程夫人、王弗、王闰之等实体关系)\n[DC] 苏轼.docx (家族成员详细记载)",
>>>>>>> 097b38400845e9c6e88091c490721e35f599bc4c
      "cache_type": "query",
      "chunk_id": null,
      "embedding": null,
      "embedding_shape": null,
      "embedding_min": null,
      "embedding_max": null,
<<<<<<< HEAD
      "original_prompt": "氧化铁和硝酸的反应方程式?"
    },
    "0eea3a1f6f9b9c5cc3fc45c951cdff0b": {
      "return": "{\"high_level_keywords\": [\"\\u5c0f\\u5b66\\u6570\\u5b66\", \"\\u5e38\\u89c1\\u6a21\\u578b\"], \"low_level_keywords\": [\"\\u52a0\\u51cf\\u6cd5\", \"\\u4e58\\u9664\\u6cd5\", \"\\u5206\\u6570\", \"\\u51e0\\u4f55\\u56fe\\u5f62\", \"\\u5e94\\u7528\\u9898\"]}",
=======
      "original_prompt": "苏轼的家人都有谁?"
    },
    "f228e58d06f5c7d16ab6f7094e733f60": {
      "return": "{\"high_level_keywords\": [\"\\u82cf\\u8f7c\", \"\\u8bd7\\u53e5\", \"\\u6587\\u5b66\"], \"low_level_keywords\": [\"\\u6c34\\u8c03\\u6b4c\\u5934\", \"\\u5ff5\\u5974\\u5a07\\u00b7\\u8d64\\u58c1\\u6000\\u53e4\", \"\\u6c5f\\u57ce\\u5b50\\u00b7\\u5bc6\\u5dde\\u51fa\\u730e\", \"\\u9898\\u897f\\u6797\\u58c1\", \"\\u8d64\\u58c1\\u8d4b\"]}",
      "cache_type": "keywords",
      "chunk_id": null,
      "embedding": null,
      "embedding_shape": null,
      "embedding_min": null,
      "embedding_max": null,
      "original_prompt": "苏轼有哪些有名的诗句?"
    },
    "0eea3a1f6f9b9c5cc3fc45c951cdff0b": {
      "return": "{\"high_level_keywords\": [\"\\u5c0f\\u5b66\\u6570\\u5b66\", \"\\u6559\\u80b2\\u6a21\\u578b\", \"\\u6570\\u5b66\\u6982\\u5ff5\"], \"low_level_keywords\": [\"\\u52a0\\u51cf\\u4e58\\u9664\", \"\\u51e0\\u4f55\\u56fe\\u5f62\", \"\\u5206\\u6570\", \"\\u5e94\\u7528\\u9898\", \"\\u6570\\u91cf\\u5173\\u7cfb\"]}",
>>>>>>> 097b38400845e9c6e88091c490721e35f599bc4c
      "cache_type": "keywords",
      "chunk_id": null,
      "embedding": null,
      "embedding_shape": null,
      "embedding_min": null,
      "embedding_max": null,
      "original_prompt": "小学数学中有哪些常见模型？"
    },
    "2aa147fe2387a611b187f93614709710": {
      "return": "{\"high_level_keywords\": [\"\\u5316\\u5b66\\u53cd\\u5e94\", \"\\u6c27\\u5316\\u94c1\", \"\\u785d\\u9178\"], \"low_level_keywords\": [\"\\u53cd\\u5e94\\u65b9\\u7a0b\\u5f0f\", \"Fe2O3\", \"HNO3\"]}",
      "cache_type": "keywords",
      "chunk_id": null,
      "embedding": null,
      "embedding_shape": null,
      "embedding_min": null,
      "embedding_max": null,
      "original_prompt": "氧化铁和硝酸的反应方程式?"
    },
    "5b157a366b34673889b37e87f7314b3e": {
      "return": "根据知识库中的信息，氧化铁（Iron(II) Oxide）与硝酸（Nitric Acid）的化学反应方程式如下：\n\n$$\\text{FeO} + 4 \\text{HNO}_3 \\stackrel{\\Delta}{=} \\text{Fe(NO}_3\\text{)}_3 + 2 \\text{H}_2 \\uparrow + \\text{NO}_2 \\uparrow$$\n\n**反应说明：**\n1. **反应物**：氧化铁（FeO）和硝酸（HNO₃）\n2. **条件**：需加热（Δ符号表示）\n3. **生成物**：\n   - 硝酸铁（Iron(III) Nitrate, Fe(NO₃)₃）\n   - 氢气（Hydrogen Gas, H₂↑）\n   - 二氧化氮（Nitrogen Dioxide, NO₂↑）\n\n**反应类型**：  \n这是一个氧化还原反应（Redox Reaction），涉及铁的氧化态从+2升至+3，同时硝酸被还原为二氧化氮。\n\n**应用关联**：  \n该反应体现了化学计量学（Stoichiometry）和质量守恒定律（Law of Conservation of Mass），与氢氧燃烧反应（Combustion of Hydrogen）同为典型的化学教学案例。\n\n---\n\n**References**:  \n[KG] 化学方程式_CHEMISTRY_1.docx (实体: Chemical Reaction, Iron(II) Oxide, Nitric Acid)  \n[DC] 化学方程式_CHEMISTRY_1.docx (内容ID: 2, 3)",
      "cache_type": "query",
      "chunk_id": null,
      "embedding": null,
      "embedding_shape": null,
      "embedding_min": null,
      "embedding_max": null,
      "original_prompt": "氧化铁和硝酸的反应方程式?"
    },
    "554f9fea1b1b2beda037f4f9d375ad01": {
      "return": "{\"high_level_keywords\": [\"\\u82cf\\u8f7c\", \"\\u670b\\u53cb\\u5173\\u7cfb\", \"\\u5386\\u53f2\\u4eba\\u7269\"], \"low_level_keywords\": [\"\\u9ec4\\u5ead\\u575a\", \"\\u7c73\\u82be\", \"\\u8521\\u8944\", \"\\u6b27\\u9633\\u4fee\", \"\\u738b\\u5b89\\u77f3\"]}",
      "cache_type": "keywords",
      "chunk_id": null,
      "embedding": null,
      "embedding_shape": null,
      "embedding_min": null,
      "embedding_max": null,
      "original_prompt": "苏轼的好朋友都有谁?"
    },
    "ff87a4089d8c0c6a3d1438769565bf41": {
      "return": "根据提供的知识图谱，苏轼一生中有多位重要的朋友，以下是其主要好友列表：\n\n### 主要好友\n1. **徐君猷** - 黄州知州，在苏轼贬谪黄州期间给予他生活支持与深厚友谊，两人常共同游览（如栖霞楼会饮）并留下诗词互动（如《南乡子·重九涵辉楼呈徐君猷》）。  \n2. **张怀民** - 黄州时期好友，与苏轼夜游承天寺，体现精神共鸣与闲适心境。  \n3. **陈季常** - 苏轼调侃其惧内（“河东狮吼”典故来源），但交情深厚，曾于黄州相遇。  \n4. **董传** - 苏轼为其写下《和董传留别》，诗中传递鼓励与智慧。  \n5. **佛印禅师** - 金山寺住持，与苏轼交往密切，以幽默方式点化其佛学领悟。  \n\n### 家族与特殊关系\n- **朝云** - 苏轼的侍妾兼知音，深刻理解其诗词情感，尤其对《蝶恋花·花褪残红青杏小》有共鸣。  \n- **苏辙** - 苏轼的弟弟，两人并称“二苏”，感情深厚，共同经历政治起伏（如雷州西湖重逢）。  \n\n### 政治与文学盟友\n- **欧阳修** - 苏轼的文学导师，早年提携其科举成名，两人并称“欧苏”。  \n- **“苏门四学士”**（黄庭坚、秦观、张耒、晁补之） - 受苏轼指导的青年文学家，尤以黄庭坚（“苏黄”并称）和秦观关系密切。  \n\n### 其他重要关系\n- **吴味道** - 虽因逃税冒用苏轼名义，但获其宽容帮助，体现苏轼对士人的庇护。  \n\n这些关系展现了苏轼在政治逆境中的社交网络，以及其文学、思想交流的广泛性。\n\n**References**  \n[KG] 苏轼.docx (徐君猷、张怀民、陈季常、董传、佛印禅师关系)  \n[KG] 苏轼.docx (苏辙、朝云、欧阳修、“苏门四学士”条目)",
      "cache_type": "query",
      "chunk_id": null,
      "embedding": null,
      "embedding_shape": null,
      "embedding_min": null,
      "embedding_max": null,
      "original_prompt": "苏轼的好朋友都有谁?"
    },
    "39927327159cfd7cca859e211cc6e357": {
      "return": "{\"high_level_keywords\": [\"\\u6559\\u5b66\\u8bbe\\u8ba1\", \"\\u51e0\\u4f55\\u6982\\u5ff5\", \"\\u6570\\u5b66\\u6559\\u80b2\"], \"low_level_keywords\": [\"\\u70b9\", \"\\u7ebf\", \"\\u9762\", \"\\u4f53\", \"\\u89d2\"]}",
      "cache_type": "keywords",
      "chunk_id": null,
      "embedding": null,
      "embedding_shape": null,
      "embedding_min": null,
      "embedding_max": null,
      "original_prompt": "帮我写一下 如何理解点、线、面、体、角 的教学设计"
    },
    "03bc2813005a72cfa43bf481ef5ebf6a": {
      "return": "根据《义务教育数学课程标准》和小学数学教学要求，对\"点、线、面、体、角\"的教学设计应遵循以下结构化框架：\n\n### 一、概念理解设计\n1. **点**（抽象概念）\n- 教学方法：通过现实对应（如针尖、星星）建立直观认知\n- 关键属性：强调\"无大小、只有位置\"的描述性定义\n- 教学案例：让学生在纸上标记点，观察其位置特征\n\n2. **线**（一维延伸）\n- 分层教学：先认识线段（有限长度），再过渡到直线/射线\n- 核心特征：通过\"两点确定一条直线\"实验理解性质\n- 教具使用：绳子、直尺等实物辅助理解\n\n3. **面**（二维拓展）\n- 抽象过程：从纸张、桌面等实物抽象出\"无厚度\"的平面概念\n- 操作活动：折纸验证平面存在性，描画不同形状的面\n\n4. **体**（三维构建）\n- 实物教学：利用积木、盒子等观察\"由面围成\"的特性\n- 维度对比：与点、线、面制作对比表格，突出三维特征\n\n5. **角**（特殊关系）\n- 改良定义：采用\"两线段所夹部分\"替代传统射线定义（KG实体19）\n- 度量重点：使用单位圆模型理解角大小与边长无关性\n\n### 二、教学流程设计\n1. **认知发展路径**：\n   - 实物观察→抽象定义→性质探究→关系建立\n   - 遵循\"点→线→面→体\"的维度递进规律（KG关系133/147/155）\n\n2. **核心教学活动**：\n   - 几何作图实践（KG实体92）\n   - \"角的初步认识\"专项课（KG实体16）\n   - 立体模型拆解与组合实验\n\n3. **概念联结设计**：\n   - 建立点线关系（\"线由无数点组成\"）\n   - 演示面体转化（\"体由无数面围成\"）\n   - 角与三角形的关系探究（KG关系119）\n\n### 三、教学要点\n1. **难点突破**：\n   - 使用描述性定义替代公理化定义（如\"点无部分\"）\n   - 强调几何概念的相对性（如\"线在面上，面在体中\"）\n\n2. **素养培养**：\n   - 发展空间观念（KG实体25）\n   - 强化几何直观能力（KG关系40）\n\n3. **评估方式**：\n   - 概念辨析题（如区分直线/射线/线段）\n   - 实物-图形对应测试\n   - 立体模型制作评价\n\n### 参考文献\n[KG] unknown_source（《义务教育数学课程标准》与小学数学教材相关条目）\n[KG] unknown_source（图形与几何教学内容描述）\n[KG] unknown_source（教学片断设计案例）\n[KG] unknown_source（空间观念培养方法）\n[KG] unknown_source（角的初步认识教学活动）",
      "cache_type": "query",
      "chunk_id": null,
      "embedding": null,
      "embedding_shape": null,
      "embedding_min": null,
      "embedding_max": null,
      "original_prompt": "帮我写一下 如何理解点、线、面、体、角 的教学设计"
    },
    "ab8957929f307c41cbbee091ad789a21": {
      "return": "在小学数学教学中，常用的模型主要包括以下几类，这些模型帮助学生将抽象的数学概念与现实情境联系起来：\n\n### 1. **路程模型（距离-速度-时间模型）**\n   - **核心公式**: \\( x = vt \\)（距离=速度×时间）\n   - **应用**: 用于解决运动问题，如计算行程距离或时间。该模型也可推广到其他乘法情境（如计算总价、面积等）。\n   - **特点**: 强调乘法的现实意义，是基础物理概念的数学抽象。\n\n### 2. **总量模型（加法模型）**\n   - **核心思想**: 描述整体与部分之间的加法关系（如总数量=部分1+部分2）。\n   - **应用**: 解决求和类问题，例如计算总成本、合并数量等。\n   - **扩展**: 可与路程模型结合，形成复合问题。\n\n### 3. **分数模型**\n   - **表现形式**: 通过实物分割（如折纸、蛋糕均分）直观展示分数的含义。\n   - **教学重点**: 强调部分与整体的关系，以及分数单位的等分概念（如1/2、1/4）。\n\n### 4. **方程模型**\n   - **作用**: 用等式表示未知量与已知量的关系（如 \\( 3x + 5 = 20 \\)）。\n   - **教学案例**: \"凳子椅子问题\"（列方程解决数量分配问题）。\n\n### 5. **几何直观模型**\n   - **示例**: 使用图形（如方块、线段）演示加减法或对称性。\n   - **应用场景**: 理解角度、面积等几何概念，或通过拼图活动探索空间关系。\n\n这些模型在《义务教育数学课程标准》中被强调为培养\"模型思想\"的重要工具，旨在帮助学生从具体问题中抽象出数学规律。\n\n### 参考文献\n1. [KG] 路程模型 (unknown_source)  \n2. [KG] 总量模型 (unknown_source)  \n3. [KG] 分数与教学片断设计 (unknown_source)  \n4. [KG] 方程模型 (unknown_source)  \n5. [KG] 《义务教育数学课程标准》中的模型思想 (unknown_source)",
      "cache_type": "query",
      "chunk_id": null,
      "embedding": null,
      "embedding_shape": null,
      "embedding_min": null,
      "embedding_max": null,
      "original_prompt": "小学数学中有哪些常见模型？"
    }
  }
}