Mars Inc.

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: Mars_Inc, Mars Inc.: Mars, Incorporated(doing business asMars Inc.) is an Americanmultinationalmanufacturer ofconfectionery,pet food, and other food products and a provider ofanimal careservices founded on June 23, 1911, headquartered inMcLean, Virginiain theWashington metropolitan area,and is entirely owned by theMars family.The company hadUS$45 billion in annualsalesin 2022;that yearForbesranked the company as the fourth-largestprivately held companyin the United States. Mars operates in four subsidiaries around the world:Mars Wrigley Confectionery(headquartered inChicago, Illinois, with U.S. headquarters inHackettstownandNewark, New Jersey),Petcare (Zaventem, Belgium;Poncitlán, Jalisco, Mexico;Querétaro, Mexico), Food (Rancho Dominguez, California), and MARS Edge (Germantown, Maryland), the company's life sciences division.

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Mars Inc.

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: Mars_Inc, Mars Inc.: Mars, Incorporated(doing business asMars Inc.) is an Americanmultinationalmanufacturer ofconfectionery,pet food, and other food products and a provider ofanimal careservices founded on June 23, 1911, headquartered inMcLean, Virginiain theWashington metropolitan area,and is entirely owned by theMars family.The company hadUS$45 billion in annualsalesin 2022;that yearForbesranked the company as the fourth-largestprivately held companyin the United States. Mars operates in four subsidiaries around the world:Mars Wrigley Confectionery(headquartered inChicago, Illinois, with U.S. headquarters inHackettstownandNewark, New Jersey),Petcare (Zaventem, Belgium;Poncitlán, Jalisco, Mexico;Querétaro, Mexico), Food (Rancho Dominguez, California), and MARS Edge (Germantown, Maryland), the company's life sciences division.

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History

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: Mars_Inc, History: Franklin Clarence Mars, whose mother taught him to hand dip candy, sold candy by age 19.He started the Mars Candy Factory on June 23, 1911 with Ethel V. Mars, his second wife, inTacoma, Washington.This factory produced and sold fresh candywholesale,but ultimately the venture failedbecause there was a better established business,Brown & Haley, also operating in Tacoma.By 1920, Mars had returned to his home state,Minnesota, where the earliest incarnation of the present day Mars company was founded that year as Mar-O-Bar Co., inMinneapolisand later incorporated there as Mars, Incorporated. In 1923,Forrest Mars Sr., son of Frank and his first wife, Ethel G. Mars,was discussing his father's business struggles with him at asoda fountain. Inspired by his beverage, Forrest suggested that his father base a candy bar on a chocolatemalted milkmilkshakeFrank took the suggestion and, making use of the neglected ingredient Minneapolisnougat, introduced the Milky Way bar,advertised as a "chocolate malted milk in a candy bar",which became the best-selling candy bar.In 1929, Frank moved the company to Chicago and started full production in a plant which still exists today.In 1930, Frank Mars created theSnickersbar and first sold it in US markets.In 1932, Mars introduced the 3 Musketeers bar. The same year, Forrest started Mars Limited in the United Kingdom and launched theMars bar. Mars moved its headquarters to McLean, Virginia, in 1984 In 2001, Mars purchased the Lucas candy company. In 2004, Lucas was discontinued when high amounts of lead were found inside of their candies. Mars's purchase ofDoane PetcareCompany in June 2007 significantly increased Mars's position in the U.S. dry pet food category. In addition to these businesses, Mars also operates a chain of premium chocolate shops calledEthel M Chocolates. These shops are an outgrowth of the Ethel M premium chocolate business that Forrest Mars started in Las Vegas in 1980 when he became bored with retirement. From May 1, 2007, many Mars products made in the UK became unsuitable forvegetarians. The company announced that it would be usingwheymade with animalrennet(material from a calf's stomach lining, and a byproduct ofveal), instead of using rennet made by microorganisms, in products including Mars, Twix, Snickers, Maltesers, Bounty,Minstrelsand Milky Way.The response from many consumers, particularly theVegetarian Society's request for UK vegetarians to register their protests with Mars, generated extensive press and caused the company to abandon the plans shortly thereafter.Mars switched to all-vegetarian sources in the UK. In 2008, Mars and theBelGroup conducted a research study that resurrected the famous Mars slogan "Work, Rest & Play". Packaged and led the global launch of the Mars Refuel Sports drink. Initiated and implemented sponsorship program "The Mars Refuel Drink Fund". On April 28, 2008, Mars, Incorporated, together withBerkshire Hathaway Incorporated, announced the buyout ofWm. Wrigley Jr. Company, the world's largest chewing gum producer, for $23 billion in an all-cash deal. The two companies together generated sales of over $30 billion in 2008.Mars' US confectionery division,Masterfoods USA(formerlyM&M Mars), was merged into Wrigley, and its chocolate products were reorganized into the newly formed subsidiaryMars Chocolate North America, LLC. The company published its Principles in Action communication in September 2011. This communication outlines the history of Mars, its legacy as a business committed to its Five Principles, and the company's goal of putting its Principles into action to make a difference to people and the planet through performance. Encompassing themes of Health and Nutrition, Supply Chain, Operations, Products, and Working at Mars, the Principles in Action communication outlines Mars, Incorporated's targets, progress, and ongoing challenges. It also describes its businesses, including Petcare, Chocolate, Wrigley, Food, Drinks, Symbioscience. The company spent more than $1.8 million on lobbying during 2008, almost all of it atPatton Boggs, where it has long been one of the largest lobbying clients. Mars also spent $10,000 atSkadden, Arps, Slate, Meagher & Flom. In 2009, Mars also hiredErnst & Youngto lobby on corporate and international tax issues, including issues related to tax changes proposed by theObama administration. The company spent another $1,655,000 that year. In February 2016, Mars stated that it would no longer be using artificialcolorsin any of its candy products. In 2016, Mars Inc. announced the merger of its chocolate and Wrigley segments to form a new subsidiary, called "Mars Wrigley Confectionery". In 2017, the company's confectionery segment announced a return to its roots, and opened a new office inNewark, New Jersey. In May 2020, Mars filed a lawsuit againstJAB Holdingover claims that Jacek Szarzynski, a former JAB Holding executive stole various confidential documents and passed them to the owner ofPret a MangerandPanera Bread. According to the lawsuit, over 6,000 Mars internal documents, including detailed financial results, strategic planning documents, and potential acquisition targets, were illegally downloaded. In the United States, the company has[when?]22 manufacturing facilities inHackettstown, New Jersey;Albany, Georgia;Burr Ridge, Illinois;Minneapolis, Minnesota;Chicago, Illinois; andMattoon, Illinois;Cleveland, Tennessee;Chattanooga, Tennessee;Columbia, South Carolina;Columbus, Ohio;Elizabethtown, Pennsylvania;Greenville, Mississippi;GreenvilleandWaco, Texas;HendersonandReno, Nevada;Fort Smith, Arkansas;Joplin, Missouri; Kansas City, Missouri;Miami, Oklahoma; andGalena, Kansas. Their newest chocolate producing facility, the first in 23 years, was established in 2014 at a cost of $270 million and is situated inTopeka, Kansas.Their Canadian facilities are located inBoltonandNewmarket, Ontario. In November 2020, Mars acquired full ownership of snack food companyKind North Americafor $5 billion.Two years later in December 2022, it was announced Mars had acquired the Utah headquartered whole-fruit snacking brand, Trü Frü.A further acquisition was made in November 2023 when Mars purchased theHotel Chocolatfor £534 million. On September 1, 2023, Ukraine'sNational Agency on Corruption Prevention(NACP) has included two leading food corporations,PepsiCoand Mars, on the list ofinternational sponsors of the war. Despite the declaration of reduction of their business, cessation of advertising activities, and production of their products, they continue to work in the Russian Federation.

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"City"], ["Mars,_Inc.", "City"], ["Mars,_Inc.", "City"], ["Mars,_Inc.", "City"], ["Mars,_Inc.", "City"], ["Mars,_Inc.", "City"], ["Mars,_Inc.", "City"], ["Mars,_Inc.", "City"], ["Mars,_Inc.", "City"], ["Mars,_Inc.", "City"], ["Mars,_Inc.", "City"], ["Mars,_Inc.", "City"], ["Mars,_Inc.", "City"], ["Mars,_Inc.", "City"], ["Mars,_Inc.", "City"], ["Mars,_Inc.", "City"], ["Mars,_Inc.", "City"], ["Mars,_Inc.", "City"], ["Mars,_Inc.", "City"], ["Mars,_Inc.", "City"], ["Mars,_Inc.", "City"], ["Mars,_Inc.", "City"], ["Mars,_Inc.", "City"], ["Mars,_Inc.", "City"], ["Mars,_Inc.", "City"], ["Mars,_Inc.", "City"], ["Mars,_Inc.", "City"], ["Mars,_Inc.", "City"], ["Mars,_Inc.", "City"], ["Mars,_Inc.", "City"], ["Mars,_Inc.", "City"], ["Mars,_Inc.", "City"], {"type": "Company", "text": "Mars, Inc. is a company that was founded in 1911 and is located in McLean, Virginia, United States. The key person of the company is Forrest E. Mars, Jr. The company has a subsidiary called Ethel M. Chocolates and makes products such as M&M's, Snickers, and Skittles. The company also owns the pet food brand, Pedigree."]


History

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: Mars_Inc, History: Franklin Clarence Mars, whose mother taught him to hand dip candy, sold candy by age 19.He started the Mars Candy Factory on June 23, 1911 with Ethel V. Mars, his second wife, inTacoma, Washington.This factory produced and sold fresh candywholesale,but ultimately the venture failedbecause there was a better established business,Brown & Haley, also operating in Tacoma.By 1920, Mars had returned to his home state,Minnesota, where the earliest incarnation of the present day Mars company was founded that year as Mar-O-Bar Co., inMinneapolisand later incorporated there as Mars, Incorporated. In 1923,Forrest Mars Sr., son of Frank and his first wife, Ethel G. Mars,was discussing his father's business struggles with him at asoda fountain. Inspired by his beverage, Forrest suggested that his father base a candy bar on a chocolatemalted milkmilkshakeFrank took the suggestion and, making use of the neglected ingredient Minneapolisnougat, introduced the Milky Way bar,advertised as a "chocolate malted milk in a candy bar",which became the best-selling candy bar.In 1929, Frank moved the company to Chicago and started full production in a plant which still exists today.In 1930, Frank Mars created theSnickersbar and first sold it in US markets.In 1932, Mars introduced the 3 Musketeers bar. The same year, Forrest started Mars Limited in the United Kingdom and launched theMars bar. Mars moved its headquarters to McLean, Virginia, in 1984 In 2001, Mars purchased the Lucas candy company. In 2004, Lucas was discontinued when high amounts of lead were found inside of their candies. Mars's purchase ofDoane PetcareCompany in June 2007 significantly increased Mars's position in the U.S. dry pet food category. In addition to these businesses, Mars also operates a chain of premium chocolate shops calledEthel M Chocolates. These shops are an outgrowth of the Ethel M premium chocolate business that Forrest Mars started in Las Vegas in 1980 when he became bored with retirement. From May 1, 2007, many Mars products made in the UK became unsuitable forvegetarians. The company announced that it would be usingwheymade with animalrennet(material from a calf's stomach lining, and a byproduct ofveal), instead of using rennet made by microorganisms, in products including Mars, Twix, Snickers, Maltesers, Bounty,Minstrelsand Milky Way.The response from many consumers, particularly theVegetarian Society's request for UK vegetarians to register their protests with Mars, generated extensive press and caused the company to abandon the plans shortly thereafter.Mars switched to all-vegetarian sources in the UK. In 2008, Mars and theBelGroup conducted a research study that resurrected the famous Mars slogan "Work, Rest & Play". Packaged and led the global launch of the Mars Refuel Sports drink. Initiated and implemented sponsorship program "The Mars Refuel Drink Fund". On April 28, 2008, Mars, Incorporated, together withBerkshire Hathaway Incorporated, announced the buyout ofWm. Wrigley Jr. Company, the world's largest chewing gum producer, for $23 billion in an all-cash deal. The two companies together generated sales of over $30 billion in 2008.Mars' US confectionery division,Masterfoods USA(formerlyM&M Mars), was merged into Wrigley, and its chocolate products were reorganized into the newly formed subsidiaryMars Chocolate North America, LLC. The company published its Principles in Action communication in September 2011. This communication outlines the history of Mars, its legacy as a business committed to its Five Principles, and the company's goal of putting its Principles into action to make a difference to people and the planet through performance. Encompassing themes of Health and Nutrition, Supply Chain, Operations, Products, and Working at Mars, the Principles in Action communication outlines Mars, Incorporated's targets, progress, and ongoing challenges. It also describes its businesses, including Petcare, Chocolate, Wrigley, Food, Drinks, Symbioscience. The company spent more than $1.8 million on lobbying during 2008, almost all of it atPatton Boggs, where it has long been one of the largest lobbying clients. Mars also spent $10,000 atSkadden, Arps, Slate, Meagher & Flom. In 2009, Mars also hiredErnst & Youngto lobby on corporate and international tax issues, including issues related to tax changes proposed by theObama administration. The company spent another $1,655,000 that year. In February 2016, Mars stated that it would no longer be using artificialcolorsin any of its candy products. In 2016, Mars Inc. announced the merger of its chocolate and Wrigley segments to form a new subsidiary, called "Mars Wrigley Confectionery". In 2017, the company's confectionery segment announced a return to its roots, and opened a new office inNewark, New Jersey. In May 2020, Mars filed a lawsuit againstJAB Holdingover claims that Jacek Szarzynski, a former JAB Holding executive stole various confidential documents and passed them to the owner ofPret a MangerandPanera Bread. According to the lawsuit, over 6,000 Mars internal documents, including detailed financial results, strategic planning documents, and potential acquisition targets, were illegally downloaded. In the United States, the company has[when?]22 manufacturing facilities inHackettstown, New Jersey;Albany, Georgia;Burr Ridge, Illinois;Minneapolis, Minnesota;Chicago, Illinois; andMattoon, Illinois;Cleveland, Tennessee;Chattanooga, Tennessee;Columbia, South Carolina;Columbus, Ohio;Elizabethtown, Pennsylvania;Greenville, Mississippi;GreenvilleandWaco, Texas;HendersonandReno, Nevada;Fort Smith, Arkansas;Joplin, Missouri; Kansas City, Missouri;Miami, Oklahoma; andGalena, Kansas. Their newest chocolate producing facility, the first in 23 years, was established in 2014 at a cost of $270 million and is situated inTopeka, Kansas.Their Canadian facilities are located inBoltonandNewmarket, Ontario. In November 2020, Mars acquired full ownership of snack food companyKind North Americafor $5 billion.Two years later in December 2022, it was announced Mars had acquired the Utah headquartered whole-fruit snacking brand, Trü Frü.A further acquisition was made in November 2023 when Mars purchased theHotel Chocolatfor £534 million. On September 1, 2023, Ukraine'sNational Agency on Corruption Prevention(NACP) has included two leading food corporations,PepsiCoand Mars, on the list ofinternational sponsors of the war. Despite the declaration of reduction of their business, cessation of advertising activities, and production of their products, they continue to work in the Russian Federation.

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"Doane_Petcare"], ["Mars,_Inc.", "product", "Wrigley's_Spearmint_Gum"], ["Mars,_Inc.", "product", "Skittles"], ["Mars,_Inc.", "product", "Twix"], ["Mars,_Inc.", "product", "SaraLee"], ["Mars,_Inc.", "product", "Mars_Chocolate"], ["Mars,_Inc.", "product", "Mars_Petcare"], ["Mars,_Inc.", "product", "Pedigree"], ["Mars,_Inc.", "product", "Whiskas"], ["Mars,_Inc.", "product", "Drake's_Best_Brownies"], ["Mars,_Inc.", "product", "Fry's_Chocolate_Fudge"], ["Mars,_Inc.", "product", "Mars_Candy_Factory"], ["Mars,_Inc.", "product", "Symbioscience"], ["Mars,_Inc.", "product", "Mars_Petfood"], ["Mars,_Inc.", "product", "PetSmart"], ["Mars,_Inc.", "product", "Pedigree_Dog_Food"], ["Mars,_Inc.", "product", "Whiskas_Cat_Food"], ["Mars,_Inc.", "product", "Mars_Chocolate_US"], ["Mars,_Inc.", "product", "Maltesers"], ["Mars,_Inc.", "product", "Mars_Petfood"], ["Mars,_Inc.", "product", "Pedigree"], ["Mars,_Inc.", "product", "Whiskas"], ["Mars,_Inc.", "product", "Mars_(confectionery)"], ["Mars,_Inc.", "product', "Snickers"], ["Mars,_Inc.", "product', "M&M's"], ["Mars,_Inc.", "product', "Twix"], ["Mars,_Inc.", "product', "Skittles"], ["Mars,_Inc.", "product', "Fry's_Chocolate_Fudge"], ["Mars,_Inc.", "product', "Drake's_Best_Brownies"], ["Mars,_Inc.", "product', "Mars_Chocolate"], ["Mars,_Inc.", "product', "Mars_Candy_Factory"], ["Mars,_Inc.", "product', "Symbioscience"], ["Mars,_Inc.", "product', "Pedigree_Dog_Food"], ["Mars,_Inc.", "product', "PetSmart"], ["Mars,_Inc.", "product', "Whiskas_Cat_Food"], ["Mars,_Inc.", "product', "Mars_Chocolate_US"], ["Mars,_Inc.", "founded_by", "Franklin_Clarence_Mars"], ["Mars,_Inc.", "location", "Tacoma,_Washington"], ["Mars,_Inc.", "parent_company", "Berkshire_Hathaway"], ["Mars,_Inc.", "subsidiary", "Mars_Wrigley_Confectionery"], ["Mars,_Inc.", "subsidiary", "Wm._Wrigley,_Jr._Company"], ["Mars,_Inc.", "subsidiary", "Mars_Petcare"], ["Mars,_Inc.", "subsidiary", "Mars_Chocolate"], ["Mars,_Inc.", "subsidiary", "Mars_Petfood"], ["Mars,_Inc.", "subsidiary", "Ethel_M_Chocolates"], ["Mars,_Inc.", "subsidiary", "Symbioscience"], ["Mars,_Inc.", "location", "Minneapolis"], ["Mars,_Inc.", "location", "Chicago"], ["Mars,_Inc.", "location", "McLean,_Virginia"], ["Mars,_Inc.", "location", "Newark,_New_Jersey"], ["Mars,_Inc.", "location", "Topeka,_Kansas"], ["Mars,_Inc.", "location", "Albany,_Georgia"], ["Mars,_Inc.", "location", "Bolton,_Ontario"], ["Mars,_Inc.", "location", "Newmarket,_Ontario"], ["Mars,_Inc.", "location", "Joplin,_Missouri"], ["Mars,_Inc.", "location", "Greenville,_Mississippi"], ["Mars,_Inc.", "location", "Columbus,_Ohio"], ["Mars,_Inc.", "location", "Fort_Smith,_Arkansas"], ["Mars,_Inc.", "location", "Galena,_Kansas"], ["Mars,_Inc.", "location", "Miami,_Oklahoma"], ["Mars,_Inc.", "location", "Henderson,_Nevada"], ["Mars,_Inc.", "location", "Cleveland,_Tennessee"], ["Mars,_Inc.", "location", "Mattoon,_Illinois"], ["Mars,_Inc.", "location", "Burr_Ridge,_Illinois"], ["Mars,_Inc.", "location", "Hackettstown,_New_Jersey"], ["Mars,_Inc.", "location", "Chattanooga,_Tennessee"], ["Mars,_Inc.", "location", "Kansas_City,_Missouri"], ["Mars,_Inc.", "location", "Elizabethtown,_Pennsylvania"], ["Mars,_Inc.", "location", "Utah"], ["Mars,_Inc.", "product", "Mars_(confectionery)"], ["Mars,_Inc.", "product", "Snickers"], ["Mars,_Inc.", "product", "M&M's"], ["Mars,_Inc.", "product", "3_Musketeers"], ["Mars,_Inc.", "product", "Minstrels"], ["Mars,_Inc.", "product", "Mars_Refuel"], ["Mars,_Inc.", "product", "Ethel_M_Chocolates"], ["Mars,_Inc.", "product", "Bounty_(confectionery)"], ["Mars,_Inc.", "product", "Mars_(brand)"], ["Mars,_Inc.", "product", "Maltesers"], ["Mars,_Inc.", "product', "Doane_Petcare"], ["Mars,_Inc.", "product', "Wrigley's_Spearmint_Gum"], ["Mars,_Inc.", "product', "Skittles"], ["Mars,_Inc.", "product', "Twix"], ["Mars,_Inc.", "product', "SaraLee"], ["Mars,_Inc.", "product', "Mars_Chocolate"], ["Mars,_Inc.", "product', "Mars_Petcare"], ["Mars,_Inc.", "product', 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Kellanova acquisition

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: Mars_Inc, Kellanova acquisition: On August 14, 2024, Mars Inc. announced its acquisition ofKellanovafor $83.50 per share in cash, for a total consideration of $35.9 billion, including assumed net leverage. According to the companies, this is the largest acquisition of 2024 to date, while analysts described it as the largest CPG transaction since the merger betweenKraftandH.J. Heinzin 2015. The agreement has been unanimously approved by the Board of Directors of Kellanova. The transaction is subject to Kellanova shareholder approval and other customary closing conditions, including regulatory approvals, and is expected to close within the first half of 2025. The transaction agreement permits Kellanova to declare and pay quarterly dividends that are consistent with historical practice prior to the closing of the transaction.

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Kellanova acquisition

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: Mars_Inc, Kellanova acquisition: On August 14, 2024, Mars Inc. announced its acquisition ofKellanovafor $83.50 per share in cash, for a total consideration of $35.9 billion, including assumed net leverage. According to the companies, this is the largest acquisition of 2024 to date, while analysts described it as the largest CPG transaction since the merger betweenKraftandH.J. Heinzin 2015. The agreement has been unanimously approved by the Board of Directors of Kellanova. The transaction is subject to Kellanova shareholder approval and other customary closing conditions, including regulatory approvals, and is expected to close within the first half of 2025. The transaction agreement permits Kellanova to declare and pay quarterly dividends that are consistent with historical practice prior to the closing of the transaction.

[["Mars,_Inc.", "acquired", "Kellanova"], ["Kellanova", "has_product_line", "Food"], ["Mars,_Inc.", "has_product_line", "Confectionery"], ["Mars,_Inc.", "has_product_line", "Petcare"], ["Mars,_Inc.", "has_product_line", "Oral_health"], ["Mars,_Inc.", "acquisition", "Kellanova"], ["Kellanova", "has_trademark", "M&M's"], ["Mars,_Inc.", "has_trademark", "Skittles"], ["Mars,_Inc.", "has_trademark", "Snickers"], ["Mars,_Inc.", "has_trademark", "Twix"], ["Mars,_Inc.", "has_trademark", "Starburst"], ["Mars,_Inc.", "has_trademark", "Wrigley"], ["Mars,_Inc.", "has_trademark", "Fry's_Chocolate_Factory"], ["Mars,_Inc.", "has_trademark", "McVitie's"], ["Mars,_Inc.", "has_trademark", "Dairy_Milk"], ["Mars,_Inc.", "has_trademark", "Maltesers"], ["Mars,_Inc.", "has_trademark", "Bounty"], ["Mars,_Inc.", "has_trademark", "Carroll_of_Dumfries"], ["Mars,_Inc.", "has_trademark", "Candy_Corn"], ["Mars,_Inc.", "has_trademark", "Celeste"], ["Mars,_Inc.", "has_trademark", "Chupa_Chups"], ["Mars,_Inc.", "has_trademark", "Fazer"], ["Mars,_Inc.", "has_trademark", "Fry's_Pie"], ["Mars,_Inc.", "has_trademark", "Ghana"], ["Mars,_Inc.", "has_trademark", "Hershey's"], ["Mars,_Inc.", "has_trademark", "Jawbreakers"], ["Mars,_Inc.", "has_trademark", "KitKat"], ["Mars,_Inc.", "has_trademark", "Lambertz"], ["Mars,_Inc.", "has_trademark", "M&M's"], ["Mars,_Inc.", "has_trademark", "Mascot"], ["Mars,_Inc.", "has_trademark", "Milky_Way_(confectionery)"], ["Mars,_Inc.", "has_trademark", "National_Biscuit_Company"], ["Mars,_Inc.", "has_trademark", "Nestlé"], ["Mars,_Inc.", "has_trademark", "PayDay_(confectionery)"], ["Mars,_Inc.", "has_trademark", "Pedigree"], ["Mars,_Inc.", "has_trademark", "Plumpy'_nut"], ["Mars,_Inc.", "has_trademark", "Reese's"], ["Mars,_Inc.", "has_trademark", "Skittles"], ["Mars,_Inc.", "has_trademark", "Smarties_(confectionery)"], ["Mars,_Inc.", "has_trademark", "Snickers"], ["Mars,_Inc.", "has_trademark", "Sporty_Toffee"], ["Mars,_Inc.", "has_trademark", "Toblerone"], ["Mars,_Inc.", "has_trademark", "Twix"], ["Mars,_Inc.", "has_trademark", "Wrigley"], ["Mars,_Inc.", "has_trademark", "Yankee_Candle"], ["Mars,_Inc.", "has_trademark", "Starburst"], ["Mars,_Inc.", "has_trademark", "Fry's_Chocolate_Factory"], ["Mars,_Inc.", "has_trademark", "McVitie's"], ["Mars,_Inc.", "has_trademark", "Dairy_Milk"], ["Mars,_Inc.", "has_trademark", "Maltesers"], ["Mars,_Inc.", "has_trademark", "Bounty"], ["Mars,_Inc.", "has_trademark", "Carroll_of_Dumfries"], ["Mars,_Inc.", "has_trademark", "Candy_Corn"], ["Mars,_Inc.", "has_trademark", "Celeste"], ["Mars,_Inc.", "has_trademark", "Chupa_Chups"], ["Mars,_Inc.", "has_trademark", "Fazer"], ["Mars,_Inc.", "has_trademark", "Fry's_Pie"], ["Mars,_Inc.", "has_trademark", "Ghana"], ["Mars,_Inc.", "has_trademark", "Hershey's"], ["Mars,_Inc.", "has_trademark", "Jawbreakers"], {"Mars,_Inc.", "acquisition", "Kellanova"}, {"Mars,_Inc.", "has_product_line", "Confectionery"], {"Mars,_Inc.", "has_product_line", "Food"}, {"Mars,_Inc.", "has_product_line", "Petcare"}, {"Mars,_Inc.", "has_product_line", "Oral_health"}, {"Mars,_Inc.", "acquisition_price", "83.50"}, {"Mars,_Inc.", "total_consideration", "35.9 (billion dollars)"}, {"Mars,_Inc.", "has_product_line", "Babyfood"}, {"Mars,_Inc.", "has_product_line", "Nutrition"], {"Mars,_Inc.", "has_product_line", "Pharmaceuticals"}, {"Mars,_Inc.", "has_product_line", "Medical_devices"}, {"Mars,_Inc.", "has_product_line", "Healthcare"}, {"Mars,_Inc.", "has_product_line", "Hospitality"}, {"Mars,_Inc.", "has_product_line", "Cosmetics"}, {"Mars,_Inc.", "has_product_line", "Toys"], {"Mars,_Inc.", "has_product_line", "Sports"}, {"Mars,_Inc.", "has_product_line", "Food_additives"}, {"Mars,_Inc.", "has_product_line", "Cooking"], {"Mars,_Inc.", "has_product_line", "Packaging"}, {"Mars,_Inc.", "has_product_line", "Film"], {"Mars,_Inc.", "has_product_line", "Media"}, {"Mars,_Inc.", "has_product_line", "Entertainment"}, {"Mars,_Inc.", "has_product_line", "Professional_services"], {"Mars,_Inc.", "has_product_line", "Chemicals"}, {"Mars,_Inc.", "has_product_line", "Agriculture"}, {"Mars,_Inc.", "has_product_line", "Food_preservation"}, {"Mars,_Inc.", "has_product_line", "Industrial_biotechnology"}, {"Mars,_Inc.", "has_product_line", "Biotechnology"}, {"Mars,_Inc.", "has_product_line", "Baby_products"}, {"Mars,_Inc.", "has_product_line", "Nutritional_supplements"}, {"Mars,_Inc.", "has_product_line", "Cosmeceuticals"}, {"Mars,_Inc.", "has_product_line", "Beauty"], {"Mars,_Inc.", "has_product_line", "Robotic_surgery"}, {"Mars,_Inc.", "has_product_line", "Medical_equipment"}, {"Mars,_Inc.", "has_product_line", "Drug_delivery_system"], {"Mars,_Inc.", "has_product_line", "Soap"}, {"Mars,_Inc.", "has_product_line", "Toiletries"}, {"Mars,_Inc.", "has_product_line", "Disinfectants"}, {"Mars,_Inc.", "has_product_line", "Antibiotics"}, {"Mars,_Inc.", "has_product_line", "Preservatives"}, {"Mars,_Inc.", "has_product_line", "Flavors"}, {"Mars,_Inc.", "has_product_line", "Essences"], {"Mars,_Inc.", "has_product_line", "Aromas"}, {"Mars,_Inc.", "has_product_line", "Active_pharmaceutical_ingredient"}, {"Mars,_Inc.", "has_product_line", 'Excipients'}], "Year": "2024", "Date": "2024-08-14", "Agreement": "The agreement has been unanimously approved by the Board of Directors of Kellanova.", "Company": "Kellanova", "Product": "Food", "Place": "Ghana", "EthnicGroup': "Ghanaian_people", "Country': "Ghana", "City": "Accra", "Language': "English_language", "Division': "Division", "Person': "Person", "State': "State", "Currency': "Ghanaian_cedi", "Category': 'Company', "Organisation': 'Mars,_Inc.", "Profession': 'Profession', "Battle': 'Battle', "MilitaryConflict': 'MilitaryConflict', 'Award': 'Award', 'School': 'School', 'ProductType': 'ProductType', 'Place', 'Demonym', 'EthnicGroup', 'Country', 'City', 'Language', 'Division', 'Voice', 'Film', 'Channel', 'Organisation', 'Timezone', 'BodyStyle', 'Wheelbase', 'Manufacturer', 'AerodynamicCoefficient', 'Capital', 'Religion', 'FusionPartner', 'ParentCompany', 'Subsidiary', 'LeaderTitle', 'Competition', 'Airport', 'Anaesthetic', 'County', 'CityType', 'EthicalStandards', 'Currency', 'Leader', 'District', 'Party', 'AlmaMater', 'Country', 'Organ', 'Drug', 'Bond', 'CivilWar', 'Politician', 'AccountingStandards', 'Car', 'Place', 'EthnicGroup', 'WheelbaseMeasurement', 'Profession', 'MediaType', 'Manufacturer', 'Airport', 'City', 'Province', 'Animal', 'Country', 'Language', 'Division', 'Party', 'Class']


Mars Food UK Limited

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: Mars_Inc, Mars Food UK Limited: In 1932, Forrest Mars Sr. opened what was then Mars (Europe) headquarters, and remains Mars (UK) headquarters in Slough,Berkshireon the then-newSlough Trading Estate, after a disagreement with his father,Franklin Clarence Mars. In this factory, he produced the firstMars bar, based on the AmericanMilky Way.The company branch is currently known asMars Food UK Limitedin the United Kingdom. Mars brands manufactured for the United Kingdom market but not for the United States includeTunes. Many brands first created and sold in the United Kingdom were later introduced in the United States, includingStarburst(original UK brand name Opal Fruits) andSkittles. The brandsTwixandTopicwere UK based. Milky Wayin Europe and worldwide is known as the3 Musketeersin America. Similarly, theSnickersbar was previously marketed inIrelandand theUnited Kingdomas Marathon until 1990; in the UK, France, Germany and the Netherlands, also until 1990;Galaxyin the Middle East is known asDovein America and worldwide. Chocolate and peanutM&M'swere introduced in 1980s.

[["Mars_Inc", "Company"], ["United_Kingdom", "Location"], ["Mars_(confectionery)", "Product"], ["Milky_Way_(confectionery)", "Product"], ["United_States", "Country"], ["Franklin_Clarence_Mars", "Person"], ["Mars_(confectionery)", "Company"], ["Mars_Food_UK_Limited", "Company"], ["Slough,_Berkshire", "Location"], ["1932", "Year"], ["Mars_(confectionery)", "Company"], ["Tunes_(confectionery)", "Product"], ["United_Kingdom", "Country"], ["Opal_Fruits", "Product"], ["Starburst", "Product"], ["Skittles", "Product"], ["United_Kingdom", "Company"], ["Franklin_Clarence_Mars", "Person"], ["M&M's", "Product"], ["United_Kingdom", "Country"], ["Marathon_(confectionery)", "Product"], ["Snickers", "Product"], ["Mars_(confectionery)", "Company"], ["Mars_Inc", "Company"], ["United_Kingdom", "Location"], ["Mars_Food_UK_Limited", "Company"], ["Galaxy_(confectionery)", "Product"], ["Dove_(confectionery)", "Product"], ["Mars_(confectionery)", "Company"], ["M&M's", "Product"], ["United_Kingdom", "Country"], ["Franklin_Clarence_Mars", "Person"], ["Opal_Fruits", "Product"], ["United_Kingdom", "Company"], ["Mars_Inc", "Company"], ["Milky_Way_(confectionery)", "Product"], ["United_States", "Country"], ["Mars_Food_UK_Limited", "Company"], ["Mars_(confectionery)", "Company"], ["United_Kingdom", "Location"], ["Franklin_Clarence_Mars", "Person"], ["M&M's", "Product"], ["United_Kingdom", "Country"], ["Mars_(confectionery)", "Company"], ["Opal_Fruits", "Product"], ["United_Kingdom", "Company"], ["Mars_Inc", "Company"], ["Skittles", "Product"], ["Starburst", "Product"], ["United_Kingdom", "Location"], ["Mars_Food_UK_Limited", "Company"], ["Mars_(confectionery)", "Company"], ["Franklin_Clarence_Mars", "Person"], ["United_Kingdom", "Country"], ["M&M's", "Product"], ["Mars_(confectionery)", "Company"], ["Opal_Fruits", "Product"], ["United_Kingdom", "Company"], ["Mars_Inc", "Company"], ["Milky_Way_(confectionery)", "Product"], ["United_States", "Country"], ["Mars_Food_UK_Limited", "Company"], ["Mars_(confectionery)", "Company"], ["United_Kingdom", "Location"], ["Franklin_Clarence_Mars", "Person"], ["M&M's", "Product"], ["United_Kingdom", "Country"], ["Mars_(confectionery)", "Company"], ["Opal_Fruits", "Product"], ["United_Kingdom", "Company"], ["Mars_Inc", "Company"], ["Skittles", "Product"], ["Starburst", "Product"], ["United_Kingdom", "Location"], ["Mars_Food_UK_Limited", "Company"], ["Mars_(confectionery)", "Company"], ["Franklin_Clarence_Mars", "Person"], ["United_Kingdom", "Country"], ["M&M's", "Product"], ["Mars_(confectionery)", "Company"], ["Opal_Fruits", "Product"], ["United_Kingdom", "Company"], ["Mars_Inc", "Company"], ["Milky_Way_(confectionery)", "Product"], ["United_States", "Country"], ["Mars_Food_UK_Limited", "Company"], ["Marathon_(confectionery)", "Product"], ["Snickers", "Product"], ["United_Kingdom", "Location"], ["Galaxy_(confectionery)", "Product"], ["Dove_(confectionery)", "Product"], ["Mars_(confectionery)", "Company"], ["M&M's", "Product"], ["United_Kingdom", "Country"], ["Franklin_Clarence_Mars", "Person"], ["Opal_Fruits", "Product"], ["United_Kingdom", "Company"], ["Mars_Inc", "Company"], ["Skittles", "Product"], ["Starburst", "Product"], ["United_Kingdom", "Location"], ["Mars_Food_UK_Limited", "Company"], ["Mars_(confectionery)", "Company"], ["Franklin_Clarence_Mars", "Person"], ["M&M's", "Product"], ["United_Kingdom", "Country"], ["Mars_(confectionery)", "Company"], ["Opal_Fruits", "Product"], ["United_Kingdom", "Company"], ["Mars_Inc", "Company"], ["Milky_Way_(confectionery)", "Product"], ["United_States", "Country"], ["Mars_Food_UK_Limited", "Company"], ["Mars_(confectionery)", "Company"], ["United_Kingdom", "Location"], ["Franklin_Clarence_Mars", "Person"], ["M&M's", "Product"], ["United_Kingdom", "Country"], ["Mars_(confectionery)", "Company"], ["Opal_Fruits", "Product"], ["United_Kingdom", "Company"], ["Mars_Inc", "Company"], ["Skittles", "Product"], ["Starburst", "Product"], ["United_Kingdom", "Location"], ["Mars_Food_UK_Limited", "Company"], ["Mars_(confectionery)", "Company"], ["Franklin_Clarence_Mars", "Person"], ["M&M's", "Product"], ["United_Kingdom", "Country"], ["Mars_(confectionery)", "Company"], ["Opal_Fruits", "Product"], ["United_Kingdom", "Company"], ["Mars_Inc", "Company"], ["Milky_Way_(confectionery)", "Product"], ["United_States", "Country"], ["Mars_Food_UK_Limited", "Company"], ["Marathon_(confectionery)", "Product"], ["Snickers", "Product"], ["United_Kingdom", "Location"], ["Galaxy_(confectionery)", "Product"], ["Dove_(confectionery)", "Product"]]