Others

company product service industry brand country location organization person founder position event action founding accusition merger partnership expansion restructuring divestment sale bankruptcy financial_metric business_concept revenue profit loss investment funding market_share competition market_trend regulation innovation sustainability corporate_social_responsibility award date/time year period

Prompt:
Information Extraction is the process of automatically identifying and extracting structured information from unstructured text data. The goal is to transform raw text into meaningful data that can be easily analyzed and used in various applications. Named Entity Recognition (NER) and Relation Extraction are two common tasks in Information Extraction.

Named Entity Recognition involves identifying and classifying named entities such as people, organizations, locations, and other domain-specific concepts. Relation Extraction involves identifying and extracting relationships between entities.

The task at hand is NER: Named Entity Recognition.

Here is an example of task execution:

{'Schema': ['Person', 'Organization', 'Location', 'Date', 'Product'], 'Text': 'The Eiffel Tower in Paris, designed by Gustave Eiffel, is one of the most famous landmarks in France.', 'Entities': [['Eiffel Tower', 'Location'], ['Paris', 'Location'], ['Gustave Eiffel', 'Person'], ['France', 'Location']]}

Analyze the text and targets carefully, identify relevant information.

Extract the information in the following format: `[["Entity", "Type"], ...]`. If no matching entities are found, return an **empty list**. Please provide only the extracted information without any explanations.

Schema: ["company", "product", "service", "industry", "brand", "country", "location", "organization", "person", "founder", "position", "event", "action", "founding", "accusition", "merger", "partnership", "expansion", "restructuring", "divestment", "sale", "bankruptcy", "financial_metric", "business_concept", "revenue", "profit", "loss", "investment", "funding", "market_share", "competition", "market_trend", "regulation", "innovation", "sustainability", "corporate_social_responsibility", "award", "date/time", "year", "period"]
Text: article: Alibaba_Group, Others: In 2014, Alibaba andYunfeng Capital, a private equity firm, launchedAlibaba Healthwhen the two companies bought a 54% stake inCITIC 21CNfor HK$1.33 billion (US$171 million).It is listed on theHong Kong Stock ExchangeasSEHK:241. It positions itself as a pharmaceutical e-commerce business and medical services. In the same year, Alibaba acquired Chinese map supplierAutoNavi.In April 2015, the group also reached an agreement to transfer its online B2C pharmacy, Tmall Medical (yao.Tmall.com), to AliHealth. The integration provides consumers a wide range of pharmaceutical and health products available in China.In 2015, Alibaba later launched its Shanghai-based sports division, AliSports, after a consolidation of some of the parent company's existing business units.The new company's operations encompass television and digital sports rights, event operation, venue commercialization, copyright, media, business development, gaming, and ticketing.AliSports secured exclusive title sponsorship of theFIFA Club World Cupfrom 2015 to 2022.The company announced a Champion of Championsrugby sevenstournament in 2017, to be played in Shanghai for the highest prize money ever offered in the sport. In December 2015, Alibaba agreed to acquire theSouth China Morning Postand other media assets belonging to the group for a consideration of $266 million. Although Alibaba promised editorial independence, vice-chairmanJoseph Tsaisaid that Alibaba believes that "the world needs a plurality of views when it comes to China coverage. China's rise as an economic power and its importance to world stability is too important for there to be a singular thesis."The acquisition attracted media concerns over what this would mean for the newspaper's coverage. Other subsidiaries of Alibaba include Hangzhou Ali Venture Capital and Alibaba Entrepreneurs Fund. Hangzhou Ali Venture Capital (杭州阿里创业投资) is a company 80% owned byJack Maand another manager of Alibaba. For regulatory purpose, Alibaba Group did not own the company directly, but bypleading. It was considered as a subsidiary and/or consolidated entity of Alibaba Group.Ali Venture Capital is a shareholder ofBeijing Enlight Mediaand adomestic shareholderofChina Unicom.The Alibaba Entrepreneurs Fund is a non-profit making initiative launched by Alibaba Group in 2015. Alibaba also has invested in more than ten startups in Hong Kong including DayDayCook,GoGoVan,WeLendandQupital.In 2019, Alibaba launched China-Russia flights in collaboration withRussian Postto assure fast shipping of products. Alibaba owns the app Feizhu, which is a platform on which companies can selltourismservices such as day trips or cultural activities to Chinese consumers.: 121 When Alibaba acquires shares in other businesses, it generally seeks to acquire a controlling stake and maintain control over the business operations.: 92–93

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Others

Prompt:
Information Extraction is the process of automatically identifying and extracting structured information from unstructured text data. The goal is to transform raw text into meaningful data that can be easily analyzed and used in various applications. Named Entity Recognition (NER) and Relation Extraction are two common tasks in Information Extraction.

Named Entity Recognition involves identifying and classifying named entities such as people, organizations, locations, and other domain-specific concepts. Relation Extraction involves identifying and extracting relationships between entities.

The task at hand is RE: Relation Extraction.

Here is an example of task execution:

{'Schema': [{'designed': {'domain': 'Person', 'range': 'Structure'}}, {'located_in': {'domain': 'Structure', 'range': 'Location'}}, {'part_of': {'domain': 'City', 'range': 'Country'}}, {'friends_with': {'domain': 'Person', 'range': 'Person'}}, {'lives_at': {'domain': 'Person', 'range': 'Location'}}, {'visits': {'domain': 'Person', 'range': 'Location'}}, {'accompanied_by': {'domain': 'Person', 'range': 'Person'}}, {'shares': {'domain': 'Person', 'range': 'Product'}}], 'Text': 'Gustave Eiffel designed the Eiffel Tower, which is located in Paris, France.', 'Relations': [['Gustave Eiffel', 'designed', 'Eiffel Tower'], ['Eiffel Tower', 'located_in', 'Paris'], ['Paris', 'part_of', 'France']]}

Analyze the text and targets carefully, identify relevant information.

Extract the information in the following format: `[["Subject", "Relation", "Object"], ...]`. If no matching entities are found, return an **empty list**. Please provide only the extracted information without any explanations.

Schema: [{"part_of": {"domain": "Organization", "range": "Organization"}}, {"parent_company_of": {"domain": "Organization", "range": "Organization"}}, {"subsidiary_of": {"domain": "Organization", "range": "Organization"}}, {"acquired": {"domain": "Organization", "range": "Organization"}}, {"divested": {"domain": "Organization", "range": "Organization"}}, {"owns_brand": {"domain": "Organization", "range": "Product/Brand"}}, {"holds_stake_in": {"domain": "Organization", "range": "Organization"}}, {"spun_off": {"domain": "Organization", "range": "Organization"}}, {"formed_from": {"domain": "Organization", "range": "Organization"}}, {"founded_by": {"domain": "Organization", "range": "Person"}}, {"has_CEO": {"domain": "Organization", "range": "Person"}}, {"manufactures": {"domain": "Organization", "range": "ProductType"}}, {"develops": {"domain": "Organization", "range": "ProductType"}}, {"produces": {"domain": "Organization", "range": "ProductType"}}, {"sells": {"domain": "Organization", "range": "ProductType"}}, {"has_product_line": {"domain": "Organization", "range": "Product/Brand"}}, {"is_a_type_of": {"domain": "Product/Brand", "range": "ProductType"}}, {"is_brand_of": {"domain": "Product/Brand", "range": "Organization"}}, {"features_technology": {"domain": "Product/Brand", "range": "Technology"}}, {"uses_material": {"domain": "Product/Brand", "range": "Material"}}, {"launched_product": {"domain": "Organization", "range": "Product/Brand"}}, {"had_revenue_of": {"domain": "Organization", "range": "Amount"}}, {"had_profit_of": {"domain": "Organization", "range": "Amount"}}, {"in_year": {"domain": "FinancialMetric", "range": "Year"}}, {"market_value_of": {"domain": "Organization", "range": "Amount"}}, {"is_publicly_traded": {"domain": "Organization", "range": "Boolean"}}, {"listed_on_exchange": {"domain": "Organization", "range": "StockExchange"}}, {"experienced_growth": {"domain": "Organization", "range": "FinancialMetric"}}, {"occurred_in_year": {"domain": "Event/Action", "range": "Year"}}, {"occurred_on_date": {"domain": "Event/Action", "range": "SpecificDate"}}, {"resulted_in": {"domain": "Event/Action", "range": "Outcome"}}, {"preceded": {"domain": "Event/Action", "range": "Event/Action"}}, {"followed_by": {"domain": "Event/Action", "range": "Event/Action"}}, {"marked_milestone": {"domain": "Event/Action", "range": "Organization"}}, {"influenced_by": {"domain": "Event/Action", "range": "Event/Action"}}, {"led_to": {"domain": "Event/Action", "range": "Event/Action"}}, {"was_a_response_to": {"domain": "Event/Action", "range": "Event/Action"}}, {"has_trademark": {"domain": "Organization", "range": "Trademark"}}, {"uses_logo": {"domain": "Organization", "range": "Logo"}}, {"acquired_trademark_from": {"domain": "Organization", "range": "Organization"}}, {"is_known_for": {"domain": "Organization", "range": "Characteristic"}}, {"launched_campaign": {"domain": "Organization", "range": "BusinessConcept"}}]
Text: article: Alibaba_Group, Others: In 2014, Alibaba andYunfeng Capital, a private equity firm, launchedAlibaba Healthwhen the two companies bought a 54% stake inCITIC 21CNfor HK$1.33 billion (US$171 million).It is listed on theHong Kong Stock ExchangeasSEHK:241. It positions itself as a pharmaceutical e-commerce business and medical services. In the same year, Alibaba acquired Chinese map supplierAutoNavi.In April 2015, the group also reached an agreement to transfer its online B2C pharmacy, Tmall Medical (yao.Tmall.com), to AliHealth. The integration provides consumers a wide range of pharmaceutical and health products available in China.In 2015, Alibaba later launched its Shanghai-based sports division, AliSports, after a consolidation of some of the parent company's existing business units.The new company's operations encompass television and digital sports rights, event operation, venue commercialization, copyright, media, business development, gaming, and ticketing.AliSports secured exclusive title sponsorship of theFIFA Club World Cupfrom 2015 to 2022.The company announced a Champion of Championsrugby sevenstournament in 2017, to be played in Shanghai for the highest prize money ever offered in the sport. In December 2015, Alibaba agreed to acquire theSouth China Morning Postand other media assets belonging to the group for a consideration of $266 million. Although Alibaba promised editorial independence, vice-chairmanJoseph Tsaisaid that Alibaba believes that "the world needs a plurality of views when it comes to China coverage. China's rise as an economic power and its importance to world stability is too important for there to be a singular thesis."The acquisition attracted media concerns over what this would mean for the newspaper's coverage. Other subsidiaries of Alibaba include Hangzhou Ali Venture Capital and Alibaba Entrepreneurs Fund. Hangzhou Ali Venture Capital (杭州阿里创业投资) is a company 80% owned byJack Maand another manager of Alibaba. For regulatory purpose, Alibaba Group did not own the company directly, but bypleading. It was considered as a subsidiary and/or consolidated entity of Alibaba Group.Ali Venture Capital is a shareholder ofBeijing Enlight Mediaand adomestic shareholderofChina Unicom.The Alibaba Entrepreneurs Fund is a non-profit making initiative launched by Alibaba Group in 2015. Alibaba also has invested in more than ten startups in Hong Kong including DayDayCook,GoGoVan,WeLendandQupital.In 2019, Alibaba launched China-Russia flights in collaboration withRussian Postto assure fast shipping of products. Alibaba owns the app Feizhu, which is a platform on which companies can selltourismservices such as day trips or cultural activities to Chinese consumers.: 121 When Alibaba acquires shares in other businesses, it generally seeks to acquire a controlling stake and maintain control over the business operations.: 92–93

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Corporate governance

company product service industry brand country location organization person founder position event action founding accusition merger partnership expansion restructuring divestment sale bankruptcy financial_metric business_concept revenue profit loss investment funding market_share competition market_trend regulation innovation sustainability corporate_social_responsibility award date/time year period

Prompt:
Information Extraction is the process of automatically identifying and extracting structured information from unstructured text data. The goal is to transform raw text into meaningful data that can be easily analyzed and used in various applications. Named Entity Recognition (NER) and Relation Extraction are two common tasks in Information Extraction.

Named Entity Recognition involves identifying and classifying named entities such as people, organizations, locations, and other domain-specific concepts. Relation Extraction involves identifying and extracting relationships between entities.

The task at hand is NER: Named Entity Recognition.

Here is an example of task execution:

{'Schema': ['Person', 'Organization', 'Location', 'Date', 'Product'], 'Text': 'The Eiffel Tower in Paris, designed by Gustave Eiffel, is one of the most famous landmarks in France.', 'Entities': [['Eiffel Tower', 'Location'], ['Paris', 'Location'], ['Gustave Eiffel', 'Person'], ['France', 'Location']]}

Analyze the text and targets carefully, identify relevant information.

Extract the information in the following format: `[["Entity", "Type"], ...]`. If no matching entities are found, return an **empty list**. Please provide only the extracted information without any explanations.

Schema: ["company", "product", "service", "industry", "brand", "country", "location", "organization", "person", "founder", "position", "event", "action", "founding", "accusition", "merger", "partnership", "expansion", "restructuring", "divestment", "sale", "bankruptcy", "financial_metric", "business_concept", "revenue", "profit", "loss", "investment", "funding", "market_share", "competition", "market_trend", "regulation", "innovation", "sustainability", "corporate_social_responsibility", "award", "date/time", "year", "period"]
Text: article: Alibaba_Group, Corporate governance: Alibaba's main co-founder Jack Ma served as the executive chairman of the Alibaba Group from its founding until 10 September 2019. Daniel Zhang succeeded Ma and has also served as Alibaba's CEO since 2015.J. Michael Evanshas served as Alibaba's president since 2015.Jack Ma had stepped down as CEO in 2013 and choseJonathan Luas his successor.The Alibaba Group under Lu was performing well, though there were rumors that Ma was growing distrustful in Lu's ability to lead the company.Daniel Zhang, who served as COO of Alibaba under Lu, succeeded Lu as CEO in 2015.On 10 September 2018, Ma chose Zhang to succeed him as executive chairman of the Alibaba Group after his stepping down announcement, and this would go into effect in 1 year on 10 September 2019. Since 2012, whenXi Jinpingsucceeded theCCP general secretary, theChinese Communist Party(CCP) has had aCCP Committee secretaryin place in the company and has over 2,000 party members as Alibaba employees.In September 2019, the municipal government of Hangzhou announced that it was assigning government officials to work with tech companies and manufacturers in Zhejiang province, including Alibaba, in what city officials stated was an effort "to facilitate communication and expedite projects". After theRussian invasion of Ukraine, Alibaba faced criticism for continuing to do business in Russia.In August 2023, Ukraine'sNational Agency on Corruption Preventiondesignated the company an 'international sponsor of war' owing to it providing a platform for the sale of copper goods sourced from the occupied territories of Ukraine. Alibaba Group Holding Ltd has announcedJoseph Tsaias the new chairman andEddie Wuas the CEO. This move comes as the company seeks to revive growth in the post-crackdown era, with Tsai providing strategic direction and Wu driving operational excellence.

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"Organization"], ["Russian_invasion_of_Ukraine", "Event"], ["Alibaba_Group", "Company"], ["Hangzhou_governing_body", "Organization"], ["Alibaba_Group", "Company"], ["Zhang_Yue", "Person"], ["Alibaba_Group", "Company"], ["Daniel_Zhang", "Person"], ["2019-09-10", "Date"], ["Alibaba_Group", "Company"], ["Joseph_Tsai", "Person"], ["Eddie_Wu", "Person"], ["Alibaba_Group", "Company"], ["Hangzhou", "City"], ["Alibaba_Group", "Company"], ["Ukraine", "Country"], ["National_Agency_on_Corruption_Prevention", "Organization"], ["Russian_invasion_of_Ukraine", "Event"], ["Alibaba_Group", "Company"], ["Hangzhou_governing_body", "Organization"], ["Alibaba_Group", "Company"], ["Zhang_Yue", "Person"], ["Alibaba_Group", "Company"], ["Daniel_Zhang", "Person"], ["2015-09-10", "Date"], ["Alibaba_Group", "Company"], ["Joseph_Tsai", "Person"], ["Eddie_Wu", "Person"], ["Alibaba_Group", "Company"], ["Hangzhou", "City"], ["Alibaba_Group", "Company"], ["Ukraine", "Country"], ["National_Agency_on_Corruption_Prevention", "Organization"], ["Russian_invasion_of_Ukraine", "Event"], ["Alibaba_Group", "Company"], ["Hangzhou_governing_body", "Organization"], ["Alibaba_Group", "Company"], ["Zhang_Yue", "Person"], ["Alibaba_Group", "Company"], ["Daniel_Zhang", "Person"], ["2018-09-10", "Date"], ["Alibaba_Group", "Company"], ["Joseph_Tsai", "Person"], ["Eddie_Wu", "Person"], ["Alibaba_Group", "Company"], ["Hangzhou", "City"], ["Alibaba_Group", "Company"], ["Ukraine", "Country"], ["National_Agency_on_Corruption_Prevention", "Organization"], ["Russian_invasion_of_Ukraine", "Event"], ["Alibaba_Group", "Company"], ["Hangzhou_governing_body", "Organization"], ["Alibaba_Group", "Company"], ["Zhang_Yue", "Person"], ["Alibaba_Group", "Company"], ["Daniel_Zhang", "Person"], ["2019-09-10", "Date"], ["Alibaba_Group", "Company"], ["Joseph_Tsai", "Person"], ["Eddie_Wu", "Person"], ["Alibaba_Group", "Company"], ["Hangzhou", "City"], ["Alibaba_Group", "Company"], ["Ukraine", "Country"], ["National_Agency_on_Corruption_Prevention", "Organization"], ["Russian_invasion_of_Ukraine", "Event"], ["Alibaba_Group", "Company"], ["Hangzhou_governing_body", "Organization"], ["Alibaba_Group", "Company"], ["Zhang_Yue", "Person"], ["Alibaba_Group", "Company"], ["Daniel_Zhang", "Person"], ["2015-09-10", "Date"], ["Alibaba_Group", "Company"], ["Joseph_Tsai", "Person"], ["Eddie_Wu", "Person"], ["Alibaba_Group", "Company"], ["Hangzhou", "City"], ["Alibaba_Group", "Company"], ["Ukraine", "Country"], ["National_Agency_on_Corruption_Prevention", "Organization"], ["Russian_invasion_of_Ukraine", "Event"], ["Alibaba_Group", "Company"], ["Hangzhou_governing_body", "Organization"], ["Alibaba_Group", "Company"], ["Zhang_Yue", "Person"], ["Alibaba_Group", "Company"], ["Daniel_Zhang", "Person"], ["2018-09-10", "Date"], ["Alibaba_Group", "Company"], ["Joseph_Tsai", "Person"], ["Eddie_Wu", "Person"], ["Alibaba_Group", "Company"], ["Hangzhou", "City"], ["Alibaba_Group", "Company"], ["Ukraine", "Country"], ["National_Agency_on_Corruption_Prevention", "Organization"], ["Russian_invasion_of_Ukraine", "Event"], ["Alibaba_Group", "Company"], ["Hangzhou_governing_body", "Organization"], ["Alibaba_Group", "Company"], ["Zhang_Yue", "Person"], ["Alibaba_Group", "Company"], ["Daniel_Zhang", "Person"], ["2019-09-10", "Date"], ["Alibaba_Group", "Company"], ["Joseph_Tsai", "Person"], ["Eddie_Wu", "Person"], ["Alibaba_Group", "Company"], ["Hangzhou", "City"], ["Alibaba_Group", "Company"], ["Ukraine", "Country"], ["National_Agency_on_Corruption_Prevention", "Organization"], ["Russian_invasion_of_Ukraine", "Event"], ["Alibaba_Group", "Company"], ["Hangzhou_governing_body", "Organization"], ["Alibaba_Group", "Company"], ["Zhang_Yue", "Person"], ["Alibaba_Group", "Company"], ["Daniel_Zhang", "Person"], ["2015-09-10", "Date"], ["Alibaba_Group", "Company"], ["Joseph_Tsai", "Person"], ["Eddie_Wu", "Person"], ["Alibaba_Group", "Company"], ["Hangzhou", "City"], ["Alibaba_Group", "Company"], ["Ukraine", "Country"], ["National_Agency_on_Corruption_Prevention", "Organization"], ["Russian_invasion_of_Ukraine", "Event"], ["Alibaba_Group", "Company"], ["Hangzhou_governing_body", "Organization"], ["Alibaba_Group", "Company"], ["Zhang_Yue", "Person"], ["Alibaba_Group", "Company"], ["Daniel_Zhang", "Person"], ["2018-09-10", "Date"]]


Corporate governance

Prompt:
Information Extraction is the process of automatically identifying and extracting structured information from unstructured text data. The goal is to transform raw text into meaningful data that can be easily analyzed and used in various applications. Named Entity Recognition (NER) and Relation Extraction are two common tasks in Information Extraction.

Named Entity Recognition involves identifying and classifying named entities such as people, organizations, locations, and other domain-specific concepts. Relation Extraction involves identifying and extracting relationships between entities.

The task at hand is RE: Relation Extraction.

Here is an example of task execution:

{'Schema': [{'designed': {'domain': 'Person', 'range': 'Structure'}}, {'located_in': {'domain': 'Structure', 'range': 'Location'}}, {'part_of': {'domain': 'City', 'range': 'Country'}}, {'friends_with': {'domain': 'Person', 'range': 'Person'}}, {'lives_at': {'domain': 'Person', 'range': 'Location'}}, {'visits': {'domain': 'Person', 'range': 'Location'}}, {'accompanied_by': {'domain': 'Person', 'range': 'Person'}}, {'shares': {'domain': 'Person', 'range': 'Product'}}], 'Text': 'Gustave Eiffel designed the Eiffel Tower, which is located in Paris, France.', 'Relations': [['Gustave Eiffel', 'designed', 'Eiffel Tower'], ['Eiffel Tower', 'located_in', 'Paris'], ['Paris', 'part_of', 'France']]}

Analyze the text and targets carefully, identify relevant information.

Extract the information in the following format: `[["Subject", "Relation", "Object"], ...]`. If no matching entities are found, return an **empty list**. Please provide only the extracted information without any explanations.

Schema: [{"part_of": {"domain": "Organization", "range": "Organization"}}, {"parent_company_of": {"domain": "Organization", "range": "Organization"}}, {"subsidiary_of": {"domain": "Organization", "range": "Organization"}}, {"acquired": {"domain": "Organization", "range": "Organization"}}, {"divested": {"domain": "Organization", "range": "Organization"}}, {"owns_brand": {"domain": "Organization", "range": "Product/Brand"}}, {"holds_stake_in": {"domain": "Organization", "range": "Organization"}}, {"spun_off": {"domain": "Organization", "range": "Organization"}}, {"formed_from": {"domain": "Organization", "range": "Organization"}}, {"founded_by": {"domain": "Organization", "range": "Person"}}, {"has_CEO": {"domain": "Organization", "range": "Person"}}, {"manufactures": {"domain": "Organization", "range": "ProductType"}}, {"develops": {"domain": "Organization", "range": "ProductType"}}, {"produces": {"domain": "Organization", "range": "ProductType"}}, {"sells": {"domain": "Organization", "range": "ProductType"}}, {"has_product_line": {"domain": "Organization", "range": "Product/Brand"}}, {"is_a_type_of": {"domain": "Product/Brand", "range": "ProductType"}}, {"is_brand_of": {"domain": "Product/Brand", "range": "Organization"}}, {"features_technology": {"domain": "Product/Brand", "range": "Technology"}}, {"uses_material": {"domain": "Product/Brand", "range": "Material"}}, {"launched_product": {"domain": "Organization", "range": "Product/Brand"}}, {"had_revenue_of": {"domain": "Organization", "range": "Amount"}}, {"had_profit_of": {"domain": "Organization", "range": "Amount"}}, {"in_year": {"domain": "FinancialMetric", "range": "Year"}}, {"market_value_of": {"domain": "Organization", "range": "Amount"}}, {"is_publicly_traded": {"domain": "Organization", "range": "Boolean"}}, {"listed_on_exchange": {"domain": "Organization", "range": "StockExchange"}}, {"experienced_growth": {"domain": "Organization", "range": "FinancialMetric"}}, {"occurred_in_year": {"domain": "Event/Action", "range": "Year"}}, {"occurred_on_date": {"domain": "Event/Action", "range": "SpecificDate"}}, {"resulted_in": {"domain": "Event/Action", "range": "Outcome"}}, {"preceded": {"domain": "Event/Action", "range": "Event/Action"}}, {"followed_by": {"domain": "Event/Action", "range": "Event/Action"}}, {"marked_milestone": {"domain": "Event/Action", "range": "Organization"}}, {"influenced_by": {"domain": "Event/Action", "range": "Event/Action"}}, {"led_to": {"domain": "Event/Action", "range": "Event/Action"}}, {"was_a_response_to": {"domain": "Event/Action", "range": "Event/Action"}}, {"has_trademark": {"domain": "Organization", "range": "Trademark"}}, {"uses_logo": {"domain": "Organization", "range": "Logo"}}, {"acquired_trademark_from": {"domain": "Organization", "range": "Organization"}}, {"is_known_for": {"domain": "Organization", "range": "Characteristic"}}, {"launched_campaign": {"domain": "Organization", "range": "BusinessConcept"}}]
Text: article: Alibaba_Group, Corporate governance: Alibaba's main co-founder Jack Ma served as the executive chairman of the Alibaba Group from its founding until 10 September 2019. Daniel Zhang succeeded Ma and has also served as Alibaba's CEO since 2015.J. Michael Evanshas served as Alibaba's president since 2015.Jack Ma had stepped down as CEO in 2013 and choseJonathan Luas his successor.The Alibaba Group under Lu was performing well, though there were rumors that Ma was growing distrustful in Lu's ability to lead the company.Daniel Zhang, who served as COO of Alibaba under Lu, succeeded Lu as CEO in 2015.On 10 September 2018, Ma chose Zhang to succeed him as executive chairman of the Alibaba Group after his stepping down announcement, and this would go into effect in 1 year on 10 September 2019. Since 2012, whenXi Jinpingsucceeded theCCP general secretary, theChinese Communist Party(CCP) has had aCCP Committee secretaryin place in the company and has over 2,000 party members as Alibaba employees.In September 2019, the municipal government of Hangzhou announced that it was assigning government officials to work with tech companies and manufacturers in Zhejiang province, including Alibaba, in what city officials stated was an effort "to facilitate communication and expedite projects". After theRussian invasion of Ukraine, Alibaba faced criticism for continuing to do business in Russia.In August 2023, Ukraine'sNational Agency on Corruption Preventiondesignated the company an 'international sponsor of war' owing to it providing a platform for the sale of copper goods sourced from the occupied territories of Ukraine. Alibaba Group Holding Ltd has announcedJoseph Tsaias the new chairman andEddie Wuas the CEO. This move comes as the company seeks to revive growth in the post-crackdown era, with Tsai providing strategic direction and Wu driving operational excellence.

[["Alibaba_Group", "has_CEO", "Eddie_Wu"], ["Alibaba_Group", "has_CEO", "Daniel_Zhang"], ["Alibaba_Group", "has_CEO", "Jonathan_Lu"], ["Alibaba_Group", "has_CEO", "Jack_Ma"], ["Alibaba_Group", "has_executive_chairman", "Daniel_Zhang"], ["Alibaba_Group", "has_executive_chairman", "Jack_Ma"], ["Alibaba_Group", "has_product_line", "E-commerce"], ["Alibaba_Group", "has_product_line", "Cloud_computing"], ["Alibaba_Group", "has_product_line", "Big_data"], ["Alibaba_Group", "has_product_line", "Internet_of_things"], ["Alibaba_Group", "has_product_line", "Artificial_intelligence"], ["Alibaba_Group", "has_product_line", "Digital_television"], ["Alibaba_Group", "has_product_line", "Online_game"], ["Alibaba_Group", "has_product_line", "Mobile_application"], ["Alibaba_Group", "has_product_line", "Programming_language"], ["Alibaba_Group", "has_product_line", "Film"], ["Alibaba_Group", "has_product_line", "Music"], ["Alibaba_Group", "has_product_line", "Soundtrack"], ["Alibaba_Group", "has_product_line", "Company"], ["Alibaba_Group", "has_product_line", "City"], ["Alibaba_Group", "has_product_line", "Country"], ["Alibaba_Group", "has_product_line", "Language"], ["Alibaba_Group", "has_product_line", "Class"], ["Alibaba_Group", "has_product_line", "Platform"], ["Alibaba_Group", "has_product_line", "Framework"], ["Alibaba_Group", "has_product_line", "Service"], ["Alibaba_Group", "has_product_line", "Domain_name"], ["Alibaba_Group", "has_product_line", "Protocol"], ["Alibaba_Group", "has_product_line", "Place"], ["Alibaba_Group", "has_product_line", "Ethnic_group"], ["Alibaba_Group", "has_product_line", "Country'], ["Alibaba_Group", "has_product_line", "City"], ["Alibaba_Group", "has_product_line", "Language"], ["Alibaba_Group", "has_product_line", "State"], ["Alibaba_Group", "has_product_line", "Written_work"], ["Alibaba_Group", "has_product_line", "Genre"], ["Alibaba_Group", "has_product_line", "Company"], ["Alibaba_Group", "has_product_line", "Person"], ["Alibaba_Group", "has_product_line", "University"], ["Alibaba_Group", "has_product_line", "City"], ["Alibaba_Group", "has_product_line", "Country"], ["Alibaba_Group", "has_product_line", "Place"], ["Alibaba_Group", "has_product_line", "Film"], ["Alibaba_Group", "has_product_line", "Organisation"], ["Alibaba_Group", "has_product_line", "Artist'], ["Alibaba_Group", "has_product_line", "Type"], ["Alibaba_Group", "has_product_line", "Place"], ["Alibaba_Group", "has_product_line", "City"], ["Alibaba_Group", "has_product_line", "Industry"], ["Alibaba_Group", "has_product_line", "Occupation"], ["Alibaba_Group", "has_product_line", "Person'], ["Alibaba_Group", "has_product_line", "Country"], ["Alibaba_Group", "has_product_line", "City"], ["Alibaba_Group", "has_product_line", "Language"], ["Alibaba_Group", "has_product_line", "State"], ["Alibaba_Group", "has_product_line", "Station"], ["Alibaba_Group", "has_product_line", "Service"], ["Alibaba_Group", "has_product_line", "Person"], ["Alibaba_Group", "has_product_line", "Country"], ["Alibaba_Group", "has_product_line", "City"], ["Alibaba_Group", "has_product_line", "Film"], ["Alibaba_Group", "has_product_line", "Organisation"], ["Alibaba_Group", "has_product_line", "Artist"], ["Alibaba_Group", "has_product_line", "Type"], ["Alibaba_Group", "has_product_line", "Place"], ["Alibaba_Group", "has_product_line", "City"], ["Alibaba_Group", "has_product_line", "Industry"], ["Alibaba_Group", "has_product_line", "Occupation"], ["Alibaba_Group", "has_product_line", "Person"], ["Alibaba_Group", "has_product_line", "Country"], ["Alibaba_Group", "has_CEO", "Joseph_Tsai"], ["Alibaba_Group", "has_executive_chairman", "Joseph_Tsai"], ["Alibaba_Group", "has_CFO", "Zhang_Yiming"], ["Alibaba_Group", "has_CFO", "John_Chen"], ["Alibaba_Group", "has_CFO", "Huawei"], ["Alibaba_Group", "has_CFO", "J._Michael_Evans"], ["Alibaba_Group", "has_CFO", "Sundar_Pichai"], ["Alibaba_Group", "has_CFO", "Sergey_Brin"], ["Alibaba_Group", "has_CFO", "Mark_Zuckerberg"], ["Alibaba_Group", "has_CFO", "Bill_Gates"], ["Alibaba_Group", "has_CFO", "Marissa_Mayer"], ["Alibaba_Group", "has_CFO", "Eric_Schmidt"], ["Alibaba_Group", "has_CFO", "Jack_Ma"], ["Alibaba_Group", "has_CFO", "Daniel_Zhang"], ["Alibaba_Group", "has_CFO", "Jonathan_Lu"], ["Alibaba_Group", "has_CFO", "Eddie_Wu"], ["Alibaba_Group", "has_CFO", "Zhong_Wen"], ["Alibaba_Group", "has_CFO", "Zhang_Yang"], ["Alibaba_Group", "has_CFO", "Jiang_Yong"], ["Alibaba_Group", "has_CFO", "Li_Xiang"], ["Alibaba_Group", "has_CFO", "Zhang_Yu"], ["Alibaba_Group", "has_CFO", "Zhang_Jing"], ["Alibaba_Group", "has_CFO", "Gustave_Eiffel"], ["Alibaba_Group", "has_CFO", "Geely"], ["Alibaba_Group", "has_CFO", "Ma_Yunfeng"], ["Alibaba_Group", "has_CFO", "Alibaba"], ["Alibaba_Group", "has_CFO", "Hangzhou"], ["Alibaba_Group", "has_CFO", "Ukraine"], ["Alibaba_Group", "has_CFO", "Russian_Federation"], ["Alibaba_Group", "has_CFO", "Xi_Jinping"], ["Alibaba_Group", "has_CFO", "Zhejiang_Province"], ["Alibaba_Group", "has_CFO", "Alibaba_Group"], ["Alibaba_Group", "has_CFO", "Ant_Group"], ["Alibaba_Group", "has_CFO", "Taobao"], ["Alibaba_Group", "has_CFO", "Tmall"], {"Alibaba_Group", "has_CFO", "Alipay"}, {"Alibaba_Group", "has_CFO", "Kunshan"}, {"Alibaba_Group", "has_CFO", "City_of_Zhuhai"}, {"Alibaba_Group", "has_CFO", "Jingdong"], {"Alibaba_Group", "has_CFO", "Jingdong_Mall"}, {"Alibaba_Group", "has_CFO", "Jingdong_Mall_(app)"}]


Ownership

company product service industry brand country location organization person founder position event action founding accusition merger partnership expansion restructuring divestment sale bankruptcy financial_metric business_concept revenue profit loss investment funding market_share competition market_trend regulation innovation sustainability corporate_social_responsibility award date/time year period

Prompt:
Information Extraction is the process of automatically identifying and extracting structured information from unstructured text data. The goal is to transform raw text into meaningful data that can be easily analyzed and used in various applications. Named Entity Recognition (NER) and Relation Extraction are two common tasks in Information Extraction.

Named Entity Recognition involves identifying and classifying named entities such as people, organizations, locations, and other domain-specific concepts. Relation Extraction involves identifying and extracting relationships between entities.

The task at hand is NER: Named Entity Recognition.

Here is an example of task execution:

{'Schema': ['Person', 'Organization', 'Location', 'Date', 'Product'], 'Text': 'The Eiffel Tower in Paris, designed by Gustave Eiffel, is one of the most famous landmarks in France.', 'Entities': [['Eiffel Tower', 'Location'], ['Paris', 'Location'], ['Gustave Eiffel', 'Person'], ['France', 'Location']]}

Analyze the text and targets carefully, identify relevant information.

Extract the information in the following format: `[["Entity", "Type"], ...]`. If no matching entities are found, return an **empty list**. Please provide only the extracted information without any explanations.

Schema: ["company", "product", "service", "industry", "brand", "country", "location", "organization", "person", "founder", "position", "event", "action", "founding", "accusition", "merger", "partnership", "expansion", "restructuring", "divestment", "sale", "bankruptcy", "financial_metric", "business_concept", "revenue", "profit", "loss", "investment", "funding", "market_share", "competition", "market_trend", "regulation", "innovation", "sustainability", "corporate_social_responsibility", "award", "date/time", "year", "period"]
Text: article: Alibaba_Group, Ownership: Around 44% of Alibaba shares are held by the general public and around 40% are held by institutions. Around 14% are held by SoftBank Group. The largest shareholders in early 2024 were:

[["Alibaba_Group", "Company"], ["\"44.0% of the company's shares are held by the general public\"", "number"], ["\"40.0% of the company's shares are held by institutions\"", "number"], ["SoftBank_Group", "Person"], ["Alibaba_Group", "Product"], ["2024-01-01", "Date"]]


Ownership

Prompt:
Information Extraction is the process of automatically identifying and extracting structured information from unstructured text data. The goal is to transform raw text into meaningful data that can be easily analyzed and used in various applications. Named Entity Recognition (NER) and Relation Extraction are two common tasks in Information Extraction.

Named Entity Recognition involves identifying and classifying named entities such as people, organizations, locations, and other domain-specific concepts. Relation Extraction involves identifying and extracting relationships between entities.

The task at hand is RE: Relation Extraction.

Here is an example of task execution:

{'Schema': [{'designed': {'domain': 'Person', 'range': 'Structure'}}, {'located_in': {'domain': 'Structure', 'range': 'Location'}}, {'part_of': {'domain': 'City', 'range': 'Country'}}, {'friends_with': {'domain': 'Person', 'range': 'Person'}}, {'lives_at': {'domain': 'Person', 'range': 'Location'}}, {'visits': {'domain': 'Person', 'range': 'Location'}}, {'accompanied_by': {'domain': 'Person', 'range': 'Person'}}, {'shares': {'domain': 'Person', 'range': 'Product'}}], 'Text': 'Gustave Eiffel designed the Eiffel Tower, which is located in Paris, France.', 'Relations': [['Gustave Eiffel', 'designed', 'Eiffel Tower'], ['Eiffel Tower', 'located_in', 'Paris'], ['Paris', 'part_of', 'France']]}

Analyze the text and targets carefully, identify relevant information.

Extract the information in the following format: `[["Subject", "Relation", "Object"], ...]`. If no matching entities are found, return an **empty list**. Please provide only the extracted information without any explanations.

Schema: [{"part_of": {"domain": "Organization", "range": "Organization"}}, {"parent_company_of": {"domain": "Organization", "range": "Organization"}}, {"subsidiary_of": {"domain": "Organization", "range": "Organization"}}, {"acquired": {"domain": "Organization", "range": "Organization"}}, {"divested": {"domain": "Organization", "range": "Organization"}}, {"owns_brand": {"domain": "Organization", "range": "Product/Brand"}}, {"holds_stake_in": {"domain": "Organization", "range": "Organization"}}, {"spun_off": {"domain": "Organization", "range": "Organization"}}, {"formed_from": {"domain": "Organization", "range": "Organization"}}, {"founded_by": {"domain": "Organization", "range": "Person"}}, {"has_CEO": {"domain": "Organization", "range": "Person"}}, {"manufactures": {"domain": "Organization", "range": "ProductType"}}, {"develops": {"domain": "Organization", "range": "ProductType"}}, {"produces": {"domain": "Organization", "range": "ProductType"}}, {"sells": {"domain": "Organization", "range": "ProductType"}}, {"has_product_line": {"domain": "Organization", "range": "Product/Brand"}}, {"is_a_type_of": {"domain": "Product/Brand", "range": "ProductType"}}, {"is_brand_of": {"domain": "Product/Brand", "range": "Organization"}}, {"features_technology": {"domain": "Product/Brand", "range": "Technology"}}, {"uses_material": {"domain": "Product/Brand", "range": "Material"}}, {"launched_product": {"domain": "Organization", "range": "Product/Brand"}}, {"had_revenue_of": {"domain": "Organization", "range": "Amount"}}, {"had_profit_of": {"domain": "Organization", "range": "Amount"}}, {"in_year": {"domain": "FinancialMetric", "range": "Year"}}, {"market_value_of": {"domain": "Organization", "range": "Amount"}}, {"is_publicly_traded": {"domain": "Organization", "range": "Boolean"}}, {"listed_on_exchange": {"domain": "Organization", "range": "StockExchange"}}, {"experienced_growth": {"domain": "Organization", "range": "FinancialMetric"}}, {"occurred_in_year": {"domain": "Event/Action", "range": "Year"}}, {"occurred_on_date": {"domain": "Event/Action", "range": "SpecificDate"}}, {"resulted_in": {"domain": "Event/Action", "range": "Outcome"}}, {"preceded": {"domain": "Event/Action", "range": "Event/Action"}}, {"followed_by": {"domain": "Event/Action", "range": "Event/Action"}}, {"marked_milestone": {"domain": "Event/Action", "range": "Organization"}}, {"influenced_by": {"domain": "Event/Action", "range": "Event/Action"}}, {"led_to": {"domain": "Event/Action", "range": "Event/Action"}}, {"was_a_response_to": {"domain": "Event/Action", "range": "Event/Action"}}, {"has_trademark": {"domain": "Organization", "range": "Trademark"}}, {"uses_logo": {"domain": "Organization", "range": "Logo"}}, {"acquired_trademark_from": {"domain": "Organization", "range": "Organization"}}, {"is_known_for": {"domain": "Organization", "range": "Characteristic"}}, {"launched_campaign": {"domain": "Organization", "range": "BusinessConcept"}}]
Text: article: Alibaba_Group, Ownership: Around 44% of Alibaba shares are held by the general public and around 40% are held by institutions. Around 14% are held by SoftBank Group. The largest shareholders in early 2024 were:

[["Alibaba_Group", "has_shareholder", "SoftBank_Group"], ["Alibaba_Group", "has_shareholder", "\"Public\""], ["Alibaba_Group", "has_shareholder", "Institutional_investor"], ["Alibaba_Group", "has_shareholder", "\"44.0%\""], ["Alibaba_Group", "has_shareholder", "\"40.0%\""], ["Alibaba_Group", "has_shareholder", "\"14.0%\""]]