conversations
listlengths 2
2
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[
{
"from": "human",
"value": "Given 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.\n\nSteps:\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [ORGANIZATION,PERSON]\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\nFormat each relationship as (\"relationship\"|<source_entity>|<target_entity>|<relationship_description>|<relationship_strength>)\n\n3. 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\n4. When finished, output <|COMPLETE|>\n\nEntity_types: ORGANIZATION,PERSON\nText:\nThe Verdantis's Central Institution is scheduled to meet on Monday and Thursday, with the institution planning to release its latest policy decision on Thursday at 1:30 p.m. PDT, followed by a press conference where Central Institution Chair Martin Smith will take questions. Investors expect the Market Strategy Committee to hold its benchmark interest rate steady in a range of 3.5%-3.75%."
},
{
"from": "gpt",
"value": "(\"entity\"|CENTRAL INSTITUTION|ORGANIZATION|The Central Institution is the Federal Reserve of Verdantis, which is setting interest rates on Monday and Thursday)\n<|>\n(\"entity\"|MARTIN SMITH|PERSON|Martin Smith is the chair of the Central Institution)\n<|>\n(\"entity\"|MARKET STRATEGY COMMITTEE|ORGANIZATION|The Central Institution committee makes key decisions about interest rates and the growth of Verdantis's money supply)\n<|>\n(\"relationship\"|MARTIN SMITH|CENTRAL INSTITUTION|Martin Smith is the Chair of the Central Institution and will answer questions at a press conference|9)\n<|COMPLETE|>"
}
] |
[
{
"from": "human",
"value": "Given 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.\n\nSteps:\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [ORGANIZATION]\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\nFormat each relationship as (\"relationship\"|<source_entity>|<target_entity>|<relationship_description>|<relationship_strength>)\n\n3. 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\n4. When finished, output <|COMPLETE|>\n\nEntity_types: ORGANIZATION\nText:\nTechGlobal's (TG) stock skyrocketed in its opening day on the Global Exchange Thursday. But IPO experts warn that the semiconductor corporation's debut on the public markets isn't indicative of how other newly listed companies may perform. TechGlobal, a formerly public company, was taken private by Vision Holdings in 2014. The well-established chip designer says it powers 85% of premium smartphones."
},
{
"from": "gpt",
"value": "(\"entity\"|TECHGLOBAL|ORGANIZATION|TechGlobal is a stock now listed on the Global Exchange which powers 85% of premium smartphones)\n<|>\n(\"entity\"|VISION HOLDINGS|ORGANIZATION|Vision Holdings is a firm that previously owned TechGlobal)\n<|>\n(\"relationship\"|TECHGLOBAL|VISION HOLDINGS|Vision Holdings formerly owned TechGlobal from 2014 until present|5)\n<|COMPLETE|>"
}
] |
[
{
"from": "human",
"value": "Given 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.\n\nSteps:\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [ORGANIZATION,GEO,PERSON]\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\nFormat each relationship as (\"relationship\"|<source_entity>|<target_entity>|<relationship_description>|<relationship_strength>)\n\n3. 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\n4. When finished, output <|COMPLETE|>\n\nEntity_types: ORGANIZATION,GEO,PERSON\nText:\nFive Aurelians jailed for 8 years in Firuzabad and widely regarded as hostages are on their way home to Aurelia. The swap orchestrated by Quintara was finalized when $8bn of Firuzi funds were transferred to financial institutions in Krohaara, the capital of Quintara. The exchange initiated in Firuzabad's capital, Tiruzia, led to the four men and one woman, who are also Firuzi nationals, boarding a chartered flight to Krohaara. They were welcomed by senior Aurelian officials and are now on their way to Aurelia's capital, Cashion. The Aurelians include 39-year-old businessman Samuel Namara, who has been held in Tiruzia's Alhamia Prison, as well as journalist Durke Bataglani, 59, and environmentalist Meggie Tazbah, 53, who also holds Bratinas nationality."
},
{
"from": "gpt",
"value": "(\"entity\"|FIRUZABAD|GEO|Firuzabad held Aurelians as hostages)\n<|>\n(\"entity\"|AURELIA|GEO|Country seeking to release hostages)\n<|>\n(\"entity\"|QUINTARA|GEO|Country that negotiated a swap of money in exchange for hostages)\n<|>\n(\"entity\"|TIRUZIA|GEO|Capital of Firuzabad where the Aurelians were being held)\n<|>\n(\"entity\"|KROHAARA|GEO|Capital city in Quintara)\n<|>\n(\"entity\"|CASHION|GEO|Capital city in Aurelia)\n<|>\n(\"entity\"|SAMUEL NAMARA|PERSON|Aurelian who spent time in Tiruzia's Alhamia Prison)\n<|>\n(\"entity\"|ALHAMIA PRISON|GEO|Prison in Tiruzia)\n<|>\n(\"entity\"|DURKE BATAGLANI|PERSON|Aurelian journalist who was held hostage)\n<|>\n(\"entity\"|MEGGIE TAZBAH|PERSON|Bratinas national and environmentalist who was held hostage)\n<|>\n(\"relationship\"|FIRUZABAD|AURELIA|Firuzabad negotiated a hostage exchange with Aurelia|2)\n<|>\n(\"relationship\"|QUINTARA|AURELIA|Quintara brokered the hostage exchange between Firuzabad and Aurelia|2)\n<|>\n(\"relationship\"|QUINTARA|FIRUZABAD|Quintara brokered the hostage exchange between Firuzabad and Aurelia|2)\n<|>\n(\"relationship\"|SAMUEL NAMARA|ALHAMIA PRISON|Samuel Namara was a prisoner at Alhamia prison|8)\n<|>\n(\"relationship\"|SAMUEL NAMARA|MEGGIE TAZBAH|Samuel Namara and Meggie Tazbah were exchanged in the same hostage release|2)\n<|>\n(\"relationship\"|SAMUEL NAMARA|DURKE BATAGLANI|Samuel Namara and Durke Bataglani were exchanged in the same hostage release|2)\n<|>\n(\"relationship\"|MEGGIE TAZBAH|DURKE BATAGLANI|Meggie Tazbah and Durke Bataglani were exchanged in the same hostage release|2)\n<|>\n(\"relationship\"|SAMUEL NAMARA|FIRUZABAD|Samuel Namara was a hostage in Firuzabad|2)\n<|>\n(\"relationship\"|MEGGIE TAZBAH|FIRUZABAD|Meggie Tazbah was a hostage in Firuzabad|2)\n<|>\n(\"relationship\"|DURKE BATAGLANI|FIRUZABAD|Durke Bataglani was a hostage in Firuzabad|2)\n<|COMPLETE|>"
}
] |
[
{
"from": "human",
"value": "Given 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.\n\nSteps:\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [PERSON,ORGANIZATION,TECHNOLOGY]\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\nFormat each relationship as (\"relationship\"|<source_entity>|<target_entity>|<relationship_description>|<relationship_strength>)\n\n3. 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\n4. When finished, output <|COMPLETE|>\n\nEntity_types: PERSON,ORGANIZATION,TECHNOLOGY\nText:\nApple CEO Tim Cook announced the launch of the new iPhone 15 at the company's annual keynote event. The device features advanced AI capabilities powered by the A17 Pro chip, developed in collaboration with TSMC. Cook emphasized how the neural engine will revolutionize mobile computing, while Apple's software engineering team, led by Craig Federighi, demonstrated the enhanced machine learning features."
},
{
"from": "gpt",
"value": "(\"entity\"|TIM COOK|PERSON|CEO of Apple who announced the iPhone 15 launch)\n<|>\n(\"entity\"|APPLE|ORGANIZATION|Technology company that developed the iPhone 15)\n<|>\n(\"entity\"|IPHONE 15|TECHNOLOGY|New smartphone device with advanced AI capabilities)\n<|>\n(\"entity\"|A17 PRO CHIP|TECHNOLOGY|Advanced processor chip that powers AI capabilities in iPhone 15)\n<|>\n(\"entity\"|TSMC|ORGANIZATION|Semiconductor company that collaborated on A17 Pro chip development)\n<|>\n(\"entity\"|NEURAL ENGINE|TECHNOLOGY|AI processing component that enables machine learning features)\n<|>\n(\"entity\"|CRAIG FEDERIGHI|PERSON|Leader of Apple's software engineering team)\n<|>\n(\"relationship\"|TIM COOK|APPLE|Tim Cook is the CEO of Apple|10)\n<|>\n(\"relationship\"|TIM COOK|IPHONE 15|Tim Cook announced the launch of iPhone 15|8)\n<|>\n(\"relationship\"|APPLE|IPHONE 15|Apple developed the iPhone 15|10)\n<|>\n(\"relationship\"|IPHONE 15|A17 PRO CHIP|iPhone 15 is powered by the A17 Pro chip|9)\n<|>\n(\"relationship\"|TSMC|A17 PRO CHIP|TSMC collaborated in developing the A17 Pro chip|8)\n<|>\n(\"relationship\"|A17 PRO CHIP|NEURAL ENGINE|A17 Pro chip contains the neural engine for AI processing|9)\n<|>\n(\"relationship\"|CRAIG FEDERIGHI|APPLE|Craig Federighi leads Apple's software engineering team|9)\n<|>\n(\"relationship\"|CRAIG FEDERIGHI|NEURAL ENGINE|Craig Federighi demonstrated neural engine's machine learning features|7)\n<|COMPLETE|>"
}
] |
[
{
"from": "human",
"value": "Given 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.\n\nSteps:\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [ORGANIZATION,PERSON,EVENT]\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\nFormat each relationship as (\"relationship\"|<source_entity>|<target_entity>|<relationship_description>|<relationship_strength>)\n\n3. 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\n4. When finished, output <|COMPLETE|>\n\nEntity_types: ORGANIZATION,PERSON,EVENT\nText:\nThe World Health Organization announced that Dr. Maria Gonzalez will lead the Global Health Summit scheduled for next month in Geneva. The summit will address critical healthcare challenges and bring together health ministers from 50 countries. WHO Director-General Tedros Adhanom has personally invited pharmaceutical companies like Pfizer and Moderna to participate in discussions about vaccine distribution."
},
{
"from": "gpt",
"value": "(\"entity\"|WORLD HEALTH ORGANIZATION|ORGANIZATION|International health agency organizing the Global Health Summit)\n<|>\n(\"entity\"|MARIA GONZALEZ|PERSON|Doctor who will lead the Global Health Summit)\n<|>\n(\"entity\"|GLOBAL HEALTH SUMMIT|EVENT|International healthcare conference addressing critical health challenges)\n<|>\n(\"entity\"|TEDROS ADHANOM|PERSON|Director-General of the World Health Organization)\n<|>\n(\"entity\"|PFIZER|ORGANIZATION|Pharmaceutical company invited to participate in vaccine distribution discussions)\n<|>\n(\"entity\"|MODERNA|ORGANIZATION|Pharmaceutical company invited to participate in vaccine distribution discussions)\n<|>\n(\"relationship\"|WORLD HEALTH ORGANIZATION|GLOBAL HEALTH SUMMIT|WHO announced and is organizing the Global Health Summit|10)\n<|>\n(\"relationship\"|MARIA GONZALEZ|GLOBAL HEALTH SUMMIT|Dr. Maria Gonzalez will lead the Global Health Summit|9)\n<|>\n(\"relationship\"|TEDROS ADHANOM|WORLD HEALTH ORGANIZATION|Tedros Adhanom is the Director-General of WHO|10)\n<|>\n(\"relationship\"|TEDROS ADHANOM|PFIZER|Tedros Adhanom invited Pfizer to participate in summit discussions|7)\n<|>\n(\"relationship\"|TEDROS ADHANOM|MODERNA|Tedros Adhanom invited Moderna to participate in summit discussions|7)\n<|>\n(\"relationship\"|PFIZER|GLOBAL HEALTH SUMMIT|Pfizer was invited to participate in Global Health Summit vaccine discussions|8)\n<|>\n(\"relationship\"|MODERNA|GLOBAL HEALTH SUMMIT|Moderna was invited to participate in Global Health Summit vaccine discussions|8)\n<|COMPLETE|>"
}
] |
[
{
"from": "human",
"value": "Given 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.\n\nSteps:\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [PERSON,SKILL,PROJECT]\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\nFormat each relationship as (\"relationship\"|<source_entity>|<target_entity>|<relationship_description>|<relationship_strength>)\n\n3. 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\n4. When finished, output <|COMPLETE|>\n\nEntity_types: PERSON,SKILL,PROJECT\nText:\nSoftware engineer Sarah Chen specializes in machine learning and natural language processing. She recently completed Project Alpha, a recommendation system that uses advanced algorithms. Sarah's expertise in Python programming and data analysis made her the lead developer on the initiative. The project also required knowledge of cloud computing, which Sarah acquired through intensive training."
},
{
"from": "gpt",
"value": "(\"entity\"|SARAH CHEN|PERSON|Software engineer specializing in machine learning and natural language processing)\n<|>\n(\"entity\"|MACHINE LEARNING|SKILL|Advanced computational technique for building predictive models)\n<|>\n(\"entity\"|NATURAL LANGUAGE PROCESSING|SKILL|Technology for understanding and processing human language)\n<|>\n(\"entity\"|PROJECT ALPHA|PROJECT|Recommendation system using advanced algorithms)\n<|>\n(\"entity\"|PYTHON PROGRAMMING|SKILL|Programming language expertise used in software development)\n<|>\n(\"entity\"|DATA ANALYSIS|SKILL|Technique for examining and interpreting data)\n<|>\n(\"entity\"|CLOUD COMPUTING|SKILL|Technology for delivering computing services over the internet)\n<|>\n(\"relationship\"|SARAH CHEN|MACHINE LEARNING|Sarah Chen specializes in machine learning|9)\n<|>\n(\"relationship\"|SARAH CHEN|NATURAL LANGUAGE PROCESSING|Sarah Chen specializes in natural language processing|9)\n<|>\n(\"relationship\"|SARAH CHEN|PROJECT ALPHA|Sarah Chen completed Project Alpha as lead developer|10)\n<|>\n(\"relationship\"|SARAH CHEN|PYTHON PROGRAMMING|Sarah Chen has expertise in Python programming|9)\n<|>\n(\"relationship\"|SARAH CHEN|DATA ANALYSIS|Sarah Chen has expertise in data analysis|9)\n<|>\n(\"relationship\"|SARAH CHEN|CLOUD COMPUTING|Sarah Chen acquired knowledge of cloud computing through training|7)\n<|>\n(\"relationship\"|PROJECT ALPHA|MACHINE LEARNING|Project Alpha uses machine learning algorithms|8)\n<|>\n(\"relationship\"|PROJECT ALPHA|PYTHON PROGRAMMING|Project Alpha was developed using Python programming|8)\n<|>\n(\"relationship\"|PROJECT ALPHA|CLOUD COMPUTING|Project Alpha required cloud computing knowledge|7)\n<|COMPLETE|>"
}
] |
[
{
"from": "human",
"value": "Given 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.\n\nSteps:\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [PRODUCT,ORGANIZATION,TECHNOLOGY,FEATURE]\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\nFormat each relationship as (\"relationship\"|<source_entity>|<target_entity>|<relationship_description>|<relationship_strength>)\n\n3. 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\n4. When finished, output <|COMPLETE|>\n\nEntity_types: PRODUCT,ORGANIZATION,TECHNOLOGY,FEATURE\nText:\nJoule is now available in Cloud Foundry environment with enhanced document grounding capabilities. You can upload up to 3000 documents per pipeline with the document grounding feature. The document grounding capability now supports images and tables embedded in PDF documents. SAP S/4HANA Cloud Private Edition has enhanced Product Lifecycle Management use cases, including change record management and navigation to the Manage Change Records app. SAP SuccessFactors has made enhancements to the View leave balance use case. Joule is now available for SAP Logistics Management with transactional, navigational, and informational use cases. New capabilities include managing business partner certificates and releasing supplier invoices in SAP S/4HANA Cloud Public Edition."
},
{
"from": "gpt",
"value": "(\"entity\"|JOULE|PRODUCT|SAP's AI assistant available in Cloud Foundry with various business capabilities)\n<|>\n(\"entity\"|CLOUD FOUNDRY|TECHNOLOGY|Cloud platform environment where Joule operates)\n<|>\n(\"entity\"|DOCUMENT GROUNDING|FEATURE|Capability that allows uploading up to 3000 documents per pipeline)\n<|>\n(\"entity\"|SAP S/4HANA CLOUD PRIVATE EDITION|PRODUCT|Enterprise resource planning system with enhanced lifecycle management)\n<|>\n(\"entity\"|PRODUCT LIFECYCLE MANAGEMENT|FEATURE|Business process for managing product changes and records)\n<|>\n(\"entity\"|MANAGE CHANGE RECORDS APP|PRODUCT|Application for managing change record workflows)\n<|>\n(\"entity\"|SAP SUCCESSFACTORS|PRODUCT|Human capital management software with leave balance features)\n<|>\n(\"entity\"|VIEW LEAVE BALANCE|FEATURE|Use case for checking employee leave balances)\n<|>\n(\"entity\"|SAP LOGISTICS MANAGEMENT|PRODUCT|Supply chain management system with Joule integration)\n<|>\n(\"entity\"|SAP S/4HANA CLOUD PUBLIC EDITION|PRODUCT|Public cloud version of SAP's ERP system)\n<|>\n(\"entity\"|BUSINESS PARTNER CERTIFICATES|FEATURE|Functionality for managing partner certification data)\n<|>\n(\"entity\"|SUPPLIER INVOICE RELEASE|FEATURE|Process for releasing blocked supplier invoices for payment)\n<|>\n(\"relationship\"|JOULE|CLOUD FOUNDRY|Joule operates in Cloud Foundry environment|9)\n<|>\n(\"relationship\"|JOULE|DOCUMENT GROUNDING|Joule includes document grounding capabilities|10)\n<|>\n(\"relationship\"|DOCUMENT GROUNDING|CLOUD FOUNDRY|Document grounding feature runs in Cloud Foundry|8)\n<|>\n(\"relationship\"|SAP S/4HANA CLOUD PRIVATE EDITION|PRODUCT LIFECYCLE MANAGEMENT|SAP S/4HANA Private Edition has enhanced Product Lifecycle Management|9)\n<|>\n(\"relationship\"|PRODUCT LIFECYCLE MANAGEMENT|MANAGE CHANGE RECORDS APP|Product Lifecycle Management includes navigation to Manage Change Records app|8)\n<|>\n(\"relationship\"|SAP SUCCESSFACTORS|VIEW LEAVE BALANCE|SAP SuccessFactors provides View leave balance functionality|10)\n<|>\n(\"relationship\"|JOULE|SAP LOGISTICS MANAGEMENT|Joule is now available for SAP Logistics Management|9)\n<|>\n(\"relationship\"|SAP S/4HANA CLOUD PUBLIC EDITION|BUSINESS PARTNER CERTIFICATES|SAP S/4HANA Public Edition supports business partner certificate management|8)\n<|>\n(\"relationship\"|SAP S/4HANA CLOUD PUBLIC EDITION|SUPPLIER INVOICE RELEASE|SAP S/4HANA Public Edition enables supplier invoice release through Joule|8)\n<|>\n(\"relationship\"|JOULE|BUSINESS PARTNER CERTIFICATES|Joule can manage business partner certificates|7)\n<|>\n(\"relationship\"|JOULE|SUPPLIER INVOICE RELEASE|Joule can release supplier invoices|8)\n<|COMPLETE|>"
}
] |
[
{
"from": "human",
"value": "Given 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.\n\nSteps:\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [PRODUCT,TECHNOLOGY,FEATURE,ENVIRONMENT]\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\nFormat each relationship as (\"relationship\"|<source_entity>|<target_entity>|<relationship_description>|<relationship_strength>)\n\n3. 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\n4. When finished, output <|COMPLETE|>\n\nEntity_types: PRODUCT,TECHNOLOGY,FEATURE,ENVIRONMENT\nText:\nSAP Cloud Integration for Data Services operates in both Kyma and Neo environments with updated documentation indicators. User activation emails are not sent when using SAP Identity Authentication on Neo or Kyma runtime. IBP JDBC and SAP Lumira Cloud are only supported on Neo environment, not on Kyma runtime. Kyma environment includes notifications for expiring IdP certificates with automatic renewal capabilities and a Renew Certificate button. The Administration tab now displays the release number alongside server version. SAP Task Center can connect with SAP Build Work Zone across different subaccounts. Intelligent Situation Automation is being deprecated with maintenance-only mode. Kyma Runtime's API Gateway module was updated to version 3.2.3 with fixes for JWT and ext-auth setup in RequestAuthentication."
},
{
"from": "gpt",
"value": "(\"entity\"|SAP CLOUD INTEGRATION FOR DATA SERVICES|PRODUCT|Data integration service that operates in Kyma and Neo environments)\n<|>\n(\"entity\"|KYMA|ENVIRONMENT|Cloud runtime environment that supports various SAP services)\n<|>\n(\"entity\"|NEO|ENVIRONMENT|Legacy cloud environment that supports certain SAP applications)\n<|>\n(\"entity\"|SAP IDENTITY AUTHENTICATION|PRODUCT|Identity and access management service for user authentication)\n<|>\n(\"entity\"|IBP JDBC|TECHNOLOGY|Database connectivity technology supported only on Neo environment)\n<|>\n(\"entity\"|SAP LUMIRA CLOUD|PRODUCT|Business intelligence and data visualization tool)\n<|>\n(\"entity\"|IDP CERTIFICATE RENEWAL|FEATURE|Automated certificate management capability in Kyma environment)\n<|>\n(\"entity\"|RENEW CERTIFICATE BUTTON|FEATURE|User interface element for manual certificate renewal)\n<|>\n(\"entity\"|ADMINISTRATION TAB|FEATURE|Interface component displaying release numbers and server versions)\n<|>\n(\"entity\"|SAP TASK CENTER|PRODUCT|Centralized task management service)\n<|>\n(\"entity\"|SAP BUILD WORK ZONE|PRODUCT|Digital workplace platform for accessing SAP applications)\n<|>\n(\"entity\"|INTELLIGENT SITUATION AUTOMATION|PRODUCT|Service being deprecated with maintenance-only support)\n<|>\n(\"entity\"|KYMA RUNTIME|TECHNOLOGY|Container-based cloud runtime environment)\n<|>\n(\"entity\"|API GATEWAY MODULE|TECHNOLOGY|Component for managing API access and authentication)\n<|>\n(\"entity\"|JWT|TECHNOLOGY|JSON Web Token authentication mechanism)\n<|>\n(\"entity\"|EXT-AUTH|TECHNOLOGY|External authentication system integration)\n<|>\n(\"entity\"|REQUEST AUTHENTICATION|FEATURE|Security feature for validating API requests)\n<|>\n(\"relationship\"|SAP CLOUD INTEGRATION FOR DATA SERVICES|KYMA|SAP Cloud Integration for Data Services operates in Kyma environment|10)\n<|>\n(\"relationship\"|SAP CLOUD INTEGRATION FOR DATA SERVICES|NEO|SAP Cloud Integration for Data Services operates in Neo environment|10)\n<|>\n(\"relationship\"|SAP IDENTITY AUTHENTICATION|KYMA|SAP Identity Authentication is used on Kyma runtime|8)\n<|>\n(\"relationship\"|SAP IDENTITY AUTHENTICATION|NEO|SAP Identity Authentication is used on Neo environment|8)\n<|>\n(\"relationship\"|IBP JDBC|NEO|IBP JDBC is only supported on Neo environment|9)\n<|>\n(\"relationship\"|SAP LUMIRA CLOUD|NEO|SAP Lumira Cloud is only supported on Neo environment|8)\n<|>\n(\"relationship\"|IDP CERTIFICATE RENEWAL|KYMA|IdP certificate renewal feature is available in Kyma environment|9)\n<|>\n(\"relationship\"|RENEW CERTIFICATE BUTTON|IDP CERTIFICATE RENEWAL|Renew Certificate button initiates the certificate renewal process|10)\n<|>\n(\"relationship\"|SAP TASK CENTER|SAP BUILD WORK ZONE|SAP Task Center can connect with SAP Build Work Zone across subaccounts|8)\n<|>\n(\"relationship\"|KYMA RUNTIME|API GATEWAY MODULE|Kyma Runtime includes API Gateway module|10)\n<|>\n(\"relationship\"|API GATEWAY MODULE|JWT|API Gateway module handles JWT authentication setup|9)\n<|>\n(\"relationship\"|API GATEWAY MODULE|EXT-AUTH|API Gateway module manages external authentication setup|9)\n<|>\n(\"relationship\"|REQUEST AUTHENTICATION|JWT|RequestAuthentication feature works with JWT tokens|8)\n<|>\n(\"relationship\"|REQUEST AUTHENTICATION|EXT-AUTH|RequestAuthentication integrates with external auth systems|8)\n<|COMPLETE|>"
}
] |
[
{
"from": "human",
"value": "Given 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.\n\nSteps:\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [SERVICE,PLATFORM,VERSION,FEATURE,THEME]\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\nFormat each relationship as (\"relationship\"|<source_entity>|<target_entity>|<relationship_description>|<relationship_strength>)\n\n3. 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\n4. When finished, output <|COMPLETE|>\n\nEntity_types: SERVICE,PLATFORM,VERSION,FEATURE,THEME\nText:\nSAP Authorization and Trust Management Service has limits for Application Security Descriptor and service broker bindings in Cloud Foundry and Kyma environments. SAP BTP Cockpit introduced alphabetical sorting in the Account Explorer with ascending and descending options that preserve account hierarchy. The Cloud Portal Service announced removal of outdated SAPUI5 versions from CDN. Credential Store now supports extending service binding validity by up to 3 days. Data Quality Services enhanced country names (Turkey to Türkiye), added Denmark address validation, and improved Argentina postcode format. SAP Alert Notification Service added new credential store threshold events. SAP BTP Cockpit enabled Horizon theme with Morning Horizon as default light version and Evening Horizon as dark version, plus high-contrast accessibility options. The new global URL https://cockpit.btp.cloud.sap redirects users to regional URLs based on location. Cloud Foundry Runtime updated from version 32.3.0 to 32.11.0, while SAP Java Buildpack upgraded from 1.77.0 to 1.78.0 with SapMachine updates."
},
{
"from": "gpt",
"value": "(\"entity\"|SAP AUTHORIZATION AND TRUST MANAGEMENT SERVICE|SERVICE|Security service managing application descriptors and broker bindings)\n<|>\n(\"entity\"|SAP BTP COCKPIT|PLATFORM|Cloud management platform with account explorer and administrative features)\n<|>\n(\"entity\"|ACCOUNT EXPLORER|FEATURE|Interface component providing alphabetical sorting with hierarchy preservation)\n<|>\n(\"entity\"|CLOUD PORTAL SERVICE|SERVICE|Portal service managing SAPUI5 CDN versions)\n<|>\n(\"entity\"|SAPUI5|PLATFORM|UI development platform with versioned CDN distribution)\n<|>\n(\"entity\"|CREDENTIAL STORE|SERVICE|Security service for managing credentials with binding validity extensions)\n<|>\n(\"entity\"|DATA QUALITY SERVICES|SERVICE|Data management service providing country validation and address standardization)\n<|>\n(\"entity\"|SAP ALERT NOTIFICATION SERVICE|SERVICE|Monitoring service with credential store threshold event capabilities)\n<|>\n(\"entity\"|HORIZON THEME|THEME|UI design theme system for SAP BTP Cockpit)\n<|>\n(\"entity\"|MORNING HORIZON|THEME|Light version of Horizon theme used as default)\n<|>\n(\"entity\"|EVENING HORIZON|THEME|Dark version of Horizon theme for alternative interface)\n<|>\n(\"entity\"|CLOUD FOUNDRY RUNTIME|PLATFORM|Cloud application runtime environment)\n<|>\n(\"entity\"|VERSION 32.11.0|VERSION|Latest Cloud Foundry Runtime release)\n<|>\n(\"entity\"|VERSION 32.3.0|VERSION|Previous Cloud Foundry Runtime release)\n<|>\n(\"entity\"|SAP JAVA BUILDPACK|PLATFORM|Java application deployment platform)\n<|>\n(\"entity\"|VERSION 1.78.0|VERSION|Latest SAP Java Buildpack release)\n<|>\n(\"entity\"|VERSION 1.77.0|VERSION|Previous SAP Java Buildpack release)\n<|>\n(\"entity\"|SAPMACHINE|PLATFORM|Java runtime environment with version updates)\n<|>\n(\"relationship\"|SAP BTP COCKPIT|ACCOUNT EXPLORER|SAP BTP Cockpit includes Account Explorer with sorting capabilities|10)\n<|>\n(\"relationship\"|SAP BTP COCKPIT|HORIZON THEME|SAP BTP Cockpit supports Horizon theme system|10)\n<|>\n(\"relationship\"|HORIZON THEME|MORNING HORIZON|Horizon theme includes Morning Horizon as default light version|10)\n<|>\n(\"relationship\"|HORIZON THEME|EVENING HORIZON|Horizon theme includes Evening Horizon as dark version|10)\n<|>\n(\"relationship\"|CLOUD PORTAL SERVICE|SAPUI5|Cloud Portal Service manages SAPUI5 CDN versions|9)\n<|>\n(\"relationship\"|CREDENTIAL STORE|SAP ALERT NOTIFICATION SERVICE|Credential Store integrates with Alert Notification Service for threshold events|8)\n<|>\n(\"relationship\"|CLOUD FOUNDRY RUNTIME|VERSION 32.11.0|Cloud Foundry Runtime was updated to version 32.11.0|10)\n<|>\n(\"relationship\"|CLOUD FOUNDRY RUNTIME|VERSION 32.3.0|Cloud Foundry Runtime was previously running version 32.3.0|8)\n<|>\n(\"relationship\"|SAP JAVA BUILDPACK|VERSION 1.78.0|SAP Java Buildpack was updated to version 1.78.0|10)\n<|>\n(\"relationship\"|SAP JAVA BUILDPACK|VERSION 1.77.0|SAP Java Buildpack was previously running version 1.77.0|8)\n<|>\n(\"relationship\"|SAP JAVA BUILDPACK|SAPMACHINE|SAP Java Buildpack includes SapMachine runtime updates|9)\n<|COMPLETE|>"
}
] |
[
{
"from": "human",
"value": "Given a text document, extract claims associated with specific entities. For each claim, identify the subject entity, object entity, claim type, status, dates, description, and source text.\n\nEntity specification: ORGANIZATION\nClaim description: red flags associated with an entity\n\nText:\nAccording to a report from 2023/03/15, DataCorp was investigated by the Federal Trade Commission for potential privacy violations involving customer data misuse. The investigation revealed that DataCorp collected personal information without explicit consent and shared it with third-party advertisers. Additionally, TechSolutions, a subsidiary of DataCorp, was found to have inadequate cybersecurity measures that resulted in a data breach affecting 50,000 customers in late 2022. The breach was reported to regulatory authorities in January 2023.\n\nFormat each claim as (<subject_entity>|<object_entity>|<claim_type>|<claim_status>|<claim_start_date>|<claim_end_date>|<claim_description>|<claim_source>)"
},
{
"from": "gpt",
"value": "(DATACORP|FEDERAL TRADE COMMISSION|PRIVACY VIOLATIONS|TRUE|2023-03-15T00:00:00|2023-03-15T00:00:00|DataCorp was investigated by the Federal Trade Commission for potential privacy violations involving customer data misuse, including collecting personal information without explicit consent and sharing it with third-party advertisers|According to a report from 2023/03/15, DataCorp was investigated by the Federal Trade Commission for potential privacy violations involving customer data misuse. The investigation revealed that DataCorp collected personal information without explicit consent and shared it with third-party advertisers.)\n<|>\n(TECHSOLUTIONS|NONE|CYBERSECURITY DEFICIENCY|TRUE|2022-12-01T00:00:00|2022-12-31T00:00:00|TechSolutions was found to have inadequate cybersecurity measures that resulted in a data breach affecting 50,000 customers in late 2022|Additionally, TechSolutions, a subsidiary of DataCorp, was found to have inadequate cybersecurity measures that resulted in a data breach affecting 50,000 customers in late 2022.)\n<|COMPLETE|>"
}
] |
[
{
"from": "human",
"value": "You are an AI assistant helping to create comprehensive reports about communities of related entities. Generate a community report in JSON format.\n\nEntities:\nid,entity,description\n1,MICROSOFT,Technology company that develops software and cloud services\n2,SATYA NADELLA,CEO of Microsoft since 2014\n3,AZURE,Microsoft's cloud computing platform\n4,OFFICE 365,Microsoft's subscription-based office suite\n5,LINKEDIN,Professional networking platform owned by Microsoft\n\nRelationships:\nid,source,target,description\n10,SATYA NADELLA,MICROSOFT,Satya Nadella is the CEO of Microsoft\n11,MICROSOFT,AZURE,Microsoft develops and operates Azure cloud platform\n12,MICROSOFT,OFFICE 365,Microsoft develops and distributes Office 365\n13,MICROSOFT,LINKEDIN,Microsoft acquired LinkedIn in 2016\n14,AZURE,OFFICE 365,Office 365 services run on Azure infrastructure\n\nCreate a comprehensive community report with title, summary, impact rating, and key findings."
},
{
"from": "gpt",
"value": "{\n \"title\": \"Microsoft Technology Ecosystem and Leadership\",\n \"summary\": \"The community centers around Microsoft, a major technology corporation led by CEO Satya Nadella, with a comprehensive ecosystem of cloud services (Azure), productivity software (Office 365), and professional networking (LinkedIn). The community represents significant influence in enterprise technology, cloud computing, and professional services markets.\",\n \"rating\": 8.5,\n \"rating_explanation\": \"High impact due to Microsoft's dominant position in enterprise software, cloud services, and professional networking affecting millions of users globally.\",\n \"findings\": [\n {\n \"summary\": \"Microsoft as the central technology hub\",\n \"explanation\": \"Microsoft serves as the central entity connecting all major products and services in this ecosystem. The company's diverse portfolio spans cloud computing, productivity software, and professional networking, creating a comprehensive technology platform that serves both individual and enterprise customers. [Data: Entities (1); Relationships (11, 12, 13)]\"\n },\n {\n \"summary\": \"Satya Nadella's leadership transformation\",\n \"explanation\": \"Satya Nadella has been Microsoft's CEO since 2014, leading the company's strategic transformation toward cloud-first and mobile-first computing. His leadership has been instrumental in Microsoft's renewed focus on cloud services and subscription-based business models. [Data: Entities (2); Relationships (10)]\"\n },\n {\n \"summary\": \"Azure as infrastructure foundation\",\n \"explanation\": \"Azure serves as Microsoft's cloud computing platform and provides the underlying infrastructure for other Microsoft services, including Office 365. This integration creates a unified cloud ecosystem that enhances service reliability and customer lock-in. [Data: Entities (3); Relationships (11, 14)]\"\n },\n {\n \"summary\": \"Strategic acquisition of LinkedIn\",\n \"explanation\": \"Microsoft's acquisition of LinkedIn in 2016 expanded the company's reach into professional networking and social media, complementing its existing enterprise software offerings and providing valuable professional data and networking capabilities. [Data: Entities (5); Relationships (13)]\"\n }\n ]\n}"
}
] |
[
{
"from": "human",
"value": "You are a helpful assistant responsible for generating a comprehensive summary of entity descriptions. Given multiple descriptions of the same entity, consolidate them into a single coherent description.\n\nEntity: APPLE INC\nDescription List:\n- Apple Inc. is a multinational technology company headquartered in Cupertino, California\n- Apple designs and manufactures consumer electronics including iPhone, iPad, and Mac computers\n- The company also develops software including iOS, macOS, and various applications\n- Apple operates retail stores worldwide and provides digital services through the App Store\n- Apple is known for premium pricing and integrated hardware-software ecosystem\n- The company was co-founded by Steve Jobs, Steve Wozniak, and Ronald Wayne in 1976\n\nLimit the final description to 150 words. Write in third person and ensure all key information is included."
},
{
"from": "gpt",
"value": "Apple Inc. is a multinational technology company headquartered in Cupertino, California, co-founded by Steve Jobs, Steve Wozniak, and Ronald Wayne in 1976. Apple designs and manufactures premium consumer electronics including the iPhone, iPad, and Mac computers, while also developing integrated software platforms such as iOS, macOS, and various applications. The company operates retail stores worldwide and provides digital services through the App Store, creating a comprehensive ecosystem of hardware, software, and services. Apple is renowned for its premium pricing strategy and tightly integrated hardware-software ecosystem that delivers seamless user experiences across all its products. The company's business model combines hardware sales with recurring revenue from digital services, establishing Apple as one of the world's most valuable technology companies with a strong focus on design, innovation, and customer experience."
}
] |
[
{
"from": "human",
"value": "You are a helpful assistant generating questions about data in the provided tables. Generate 5 important questions that can be answered using the data.\n\nData tables:\nEmployees Table:\nid,name,department,salary,hire_date\n1,John Smith,Engineering,85000,2020-03-15\n2,Sarah Johnson,Marketing,72000,2019-08-20\n3,Mike Chen,Engineering,92000,2018-11-10\n4,Lisa Rodriguez,Sales,68000,2021-02-28\n5,David Kim,Engineering,78000,2020-09-05\n\nProjects Table:\nid,project_name,lead_engineer,budget,status\n1,Mobile App Redesign,John Smith,150000,In Progress\n2,Cloud Migration,Mike Chen,300000,Completed\n3,AI Integration,David Kim,200000,Planning\n4,Security Audit,Mike Chen,75000,In Progress\n\nGenerate questions that represent the most important themes in this data."
},
{
"from": "gpt",
"value": "- What is the distribution of employees across different departments and how does this relate to project leadership?\n- Which engineers are leading multiple projects and what is the total budget they are responsible for?\n- How do salary levels correlate with project leadership responsibilities and hire dates?\n- What is the current status distribution of projects and their associated budgets?\n- Which department has the highest concentration of senior employees based on hire dates and salary levels?"
}
] |
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