Child labor and slave labor

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, Child labor and slave labor: Mars has been criticized for buying cocoa beans from West African farmers who reportedly use unpaid or poorly paid child laborers. In 2009, Mars announced that the company would work towards only purchasing cocoa from suppliers who meet environmental, labor, and production standards.TransFair USA, an organization which certifies products as Fair Trade, applauded the move and expressed hope that it would include a provision for fair wages for laborers and farmers.In 2010, Mars Inc. received the U.S. Secretary of State's Award for Corporate Excellence.In April 2010, Mars launched the MyCocoaPaper initiative, which claims to provide economic opportunities to women and families inIndonesiaby making paper products out of cocoa bark and recycled office paper. In 2011, Mars andFairtrade Internationalannounced an agreement to introduce the first Fairtrade labeled Mars product and to work together to enable farmers to have sustainable livelihoods and substantially increased productivity. The first Mars product to carry the Fairtrade mark was Maltesers, which appeared in stores in 2012 in the UK and Ireland. In 2019, Mars announced that they could not guarantee that their chocolate products were free from child slave labor, as they could trace only 24% of their purchasing back to the farm level (see below). TheWashington Postnoted that the commitment taken in 2001 to eradicate such practices within 4 years had not been kept, neither at the due deadline of 2005, nor within the revised deadlines of 2008 and 2010, and that the result was not likely to be achieved for 2020 either. In 2021, Mars was named in a class action lawsuit filed by eight former child slaves fromMaliwho alleged that the company aided and abetted their enslavement on cocoa plantations inIvory Coast. The suit accused Mars (along withNestlé,Cargill,Barry Callebaut,Olam International,the Hershey Company, andMondelez International) of knowingly engaging in forced labor, and the plaintiffs sought damages for unjust enrichment, negligent supervision, and intentional infliction of emotional distress.In June 2021, theUnited States Supreme Courtdismissed the lawsuit on the grounds that as the abuse had happened outside the United States, the group did not have standing to file such a lawsuit. Mars scored a yellow rating, the second highest of four possible scores, "Starting to implement good policies", on the 2022 Chocolate Scorecard, which rates all the large chocolate companies on their record in eliminating child labour, providing a living income to cocoa farmers and traceability/transparency.In its own scorecard on human rights and environmental credentials, Mars states that it has traced the source of their cocoa to 132,000 of the farms that supply their cocoa. A CBS television news investigation in 2023 found children as young as five years old working in the Ghana supply chain of Mars to harvest cocoa for brands such as Snickers and M&Ms.

Mars,_Inc.

P154 - logo image: graphic mark or emblem commonly used by commercial enterprises, organizations and products

P10120 - Australian Trade Mark Number: identifier for a trade mark registered in Australia

P10482 - U.S. trademark serial number: identifier of a trademark serial number issued by the United States Patent and Trademark Office

Q2716518 - Maltesers: confectionery product manufactured by Mars

Q130560104 - Malteserstraße: street in Dormagen, North Rhine-Westphalia, Germany

Q72940809 - Malteserstraße: street in Berlin-Marienfelde and Berlin-Lankwitz, Germany

Q15715637 - Malteserstraße: street in Königswinter, Germany

Q1887838 - Malteserstöckl, Stroheim: None

Mars,_Inc.

Q739550 - M&M's: brand of chocolate candy pieces

Q28752866 - Presidential M&M's: commemorative packs of red, white, and blue-colored M&M's given to guests of the president of the United States on board Air Force One

Mars,_Inc.

Q714179 - Snickers: brand name chocolate bar made by Mars, Incorporated

Q886003 - Bluemont: unincorporated village in Loudoun County, Virginia, United States

Q1748734 - Snickers Workwear: clothing brand

Q4405719 - Snickers salad: US dessert dish of Snickers bars, apples, and whipped cream

Mars,_Inc.

Mars,_Inc.

Q99309202 - Fairtrade-märkta livsmedelsprodukter: written question from Jonas Jacobsson Gjörtler to Per Bolund

Mars,_Inc.

Q42385 - cacao: tree native to tropical South America producing cocoa beans - the source plant of cacao and chocolate

Q13261 - hot chocolate: heated beverage of chocolate

Q1062396 - cocoa powder: mixture of many substances remaining after cocoa butter is extracted from cacao beans

Q986168 - Cocoa: city in Brevard County, Florida, United States

Mars,_Inc.

Mars,_Inc.

Mars,_Inc.

Q1036056 - Cargill: American-based international food conglomerate

Q68815088 - Cargill: Scottish parish in Perth and Kinross, Scotland, UK

Q19799697 - Dale Christine Cargill: Australian botanist, bryologist, and curator

Q433911 - Altair: Pilot boat built in 1974

Mars,_Inc.

Q160746 - Nestlé: Swiss multi-national food and beverage company

Q26853934 - Nestlé Nutrition Institute workshop series: journal

Mars,_Inc.

Q216929 - Oliver & Company: 1988 animated film directed by George Scribner

Q27495830 - Oliver & Company: soundtrack from the 1988 Disney animated film Oliver & Company

Q25396727 - Oliver & Company: 1989 video game

Q124026048 - Oliver & Company universe: fictional universe

Mars,_Inc.

Q809018 - Barry Callebaut: Swiss cocoa producer

Q61075893 - Barry Callebaut Nord Cacao: None

Q131201789 - Barry Callebaut France: None

Q131201787 - Barry Callebaut Belgium Nv: None

Mars,_Inc.

Q169534 - military division: military unit size designation

Q334453 - division: distinct and large part of an organization

Q38348 - phylum: main taxonomic rank (under the rank kingdom)

Q94861615 - NCAA Division I men's basketball: college sports league in the United States

Q334460 - division: taxonomic rank in botanical classification, equivalent to phylum in zoology

Mars,_Inc.

Q30 - United States: country located primarily in North America

Q637413 - United States Census Bureau: U.S. agency responsible for the census and related statistics

Q11703 - United States Virgin Islands: unincorporated territory of the United States of America

Q4917 - United States dollar: official currency of the United States

Q214867 - National Gallery of Art: national art museum in Washington, D.C.

Mars,_Inc.

Q503623 - Gold Coast Colony: former British colony (1867-1957), now Ghana

Q172014 - Ghana men's national football team: men's national association football team representing Ghana

Q42891 - Krishna: major deity in Hinduism, worshipped as the eighth avatar of Vishnu and also as the Supreme god in his own right

Q5555368 - Ghana Medical Journal: journal

Mars,_Inc.

Q187255 - rheumatoid arthritis: autoimmune disease which attacks healthy cells and tissue located in joints

Q172341 - ovarian cancer: female reproductive organ cancer that is located in the ovary

Q1148337 - hepatocellular carcinoma: liver carcinoma that has material basis in undifferentiated hepatocytes

Mars,_Inc.

Q1008 - Ivory Coast: sovereign state in West Africa

Q175145 - Ivory Coast men's national football team: national association football team

Q1544423 - Ivory Coast women's national football team: women's national association football team representing Ivory Coast

Q3589950 - Ivory Coast Olympic football team: national association football team

Q1675853 - Ivory Coast national rugby union team: national rugby union team of Ivory Coast

Mars,_Inc.

Q166032 - The Washington Post: daily broadsheet newspaper in Washington, D.C.

Q106501824 - Washington Post: Vanity Fair caricature of The Rt Hon Sir HM Durand by Spy

Q7773643 - The Washington Post Writers Group: American syndication service

Q76313739 - Washington Post 2011 data breach: None

Q19055540 - Washington Post Company v. Chaloner: None

Mars,_Inc.

Q43380 - CBS: American broadcast television and radio network

Q1043319 - Israel Central Bureau of Statistics: Israel's principal government institution in charge of statistics and census data

Q167086 - Statistics Netherlands: Netherlands' principal government institution in charge of statistics and census data

Q3234345 - Cajal body: class of nuclear body enriched in small nuclear ribonucleoproteins

Q921907 - Charles Bonnet syndrome: visual disturbances and the experience of complex visual hallucinations in a blind person

Mars,_Inc.

Q12857502 - Mondelez International: American multinational confectionery, food and beverage conglomerate

Q327751 - Kraft Foods Group: American grocery manufacturing and processing conglomerate, formed as a spin-off from Kraft Foods Inc.

Q29002342 - Mondelēz International (United Kingdom): None

Q30343760 - Mondelēz International (Germany): None

Q29002344 - Mondelēz International (Canada): None

Mars,_Inc.

Q1887838 - Malteserstöckl, Stroheim: None

Output: None of the candidates

Output: None of the candidates

Output: None of the candidates


Deforestation in African national parks

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, Deforestation in African national parks: In September 2017, an investigationconducted by NGO Mighty Earth found that a large amount of the cocoa used in chocolate produced by Mars and other major chocolate companies was grown illegally innational parksand other protected areas inIvory CoastandGhana.The countries are the world's two largest cocoa producers. The report documents show, in several national parks and other protected areas, 90% or more of the land mass has been converted to cocoa.Less than four percent of Ivory Coast remains densely forested, and the chocolate companies' laissez-faire approach to sourcing has driven extensivedeforestationin Ghana as well.In Ivory Coast, deforestation has pushed chimpanzees into just a few small pockets, and reduced the country's elephant population from several hundred thousand to about 200–400. On the 2022 Chocolate Scorecard, Mars scored the second highest of four possible scores for "Deforestation and Climate" and "Agroforestry", "starting to implement good policies". Mars scored a lower rating (third of the four) for "Agrochemical Management", "needs more work on policy and implementation".

[
    "Q695087 - Mars, Incorporated: American global food company and manufacturer",
    "Q123255524 - Mars Inc. awards $4 million for health care in Ukraine: scientific article published in 2023"
]

[
    "Q42385 - cacao: tree native to tropical South America producing cocoa beans - the source plant of cacao and chocolate",
    "Q195 - chocolate: nutritionally dense or sweet food product from the seed of Theobroma cacao - cocoa bean",
    "Q124064082 - Chocolate: 2017 video game",
    "Q3309916 - chocolate: tone of dark brown",
    "Q592915 - Chocolate: 2005 film directed by Vivek Agnihotri"
]

[
    "Q1008 - Ivory Coast: sovereign state in West Africa",
    "Q175145 - Ivory Coast men's national football team: national association football team",
    "Q1544423 - Ivory Coast women's national football team: women's national association football team representing Ivory Coast",
    "Q3589950 - Ivory Coast Olympic football team: national association football team",
    "Q1675853 - Ivory Coast national rugby union team: national rugby union team of Ivory Coast"
]

[
    "Q117 - Ghana: country in West Africa",
    "Q503623 - Gold Coast Colony: former British colony (1867-1957), now Ghana",
    "Q172014 - Ghana men's national football team: men's national association football team representing Ghana",
    "Q42891 - Krishna: major deity in Hinduism, worshipped as the eighth avatar of Vishnu and also as the Supreme god in his own right",
    "Q5555368 - Ghana Medical Journal: journal"
]

[
    "Q110723789 - Mighty Earth: nonprofit organization",
    "Q109918156 - Mighty Earthquake and Hurricane: 1984 studio album by Willie Dixon"
]

[
    "Q397350 - agroforestry: land use management system in which trees or shrubs are grown around or among crops or pastureland",
    "Q1864465 - Agroforestry Systems: journal",
    "Q16144223 - agroforestry: None",
    "Q12335780 - Agroforestry: None",
    "Q100340555 - Agroforestry, akkerbosbouw of bos-landbouw in de Tropen: exhibition in 1978"
]

[
    "Q695087 - Mars, Incorporated: American global food company and manufacturer",
    "Q123255524 - Mars Inc. awards $4 million for health care in Ukraine: scientific article published in 2023"
]

[
    "Q169940 - deforestation: removal of forest and conversion of the land to non-forest use",
    "Q78217313 - Deforestation: painting by Isaac Levitan",
    "Q2155658 - deforestation: computer science term",
    "Q76441609 - Deforestation: print in the National Gallery of Art (NGA 145148)",
    "Q130742601 - Deforestation: Deforestation trends in tropical Africa"
]

[
    "Q4126704 - chimpanzee: species of mammal; species of ape",
    "Q80174 - Pan: genus of mammals, includes 2 species: common chimpanzee and bonobo",
    "Q2963686 - Chimpanzee: 2012 documentary film directed by Alastair Fothergill and Mark Linfield",
    "Q29212866 - Chimpanzee: tapestry and national heritage monument (PM75003906) in the Lucien Paye residence, Paris, France",
    "Q121333290 - Chimpanzee: Sculpture by Kurt Bauer in Hamburg"
]

[
    "Q117 - Ghana: country in West Africa",
    "Q503623 - Gold Coast Colony: former British colony (1867-1957), now Ghana",
    "Q172014 - Ghana men's national football team: men's national association football team representing Ghana",
    "Q42891 - Krishna: major deity in Hinduism, worshipped as the eighth avatar of Vishnu and also as the Supreme god in his own right",
    "Q5555368 - Ghana Medical Journal: journal"
]

[
    "Q1008 - Ivory Coast: sovereign state in West Africa",
    "Q175145 - Ivory Coast men's national football team: national association football team",
    "Q1544423 - Ivory Coast women's national football team: women's national association football team representing Ivory Coast",
    "Q3589950 - Ivory Coast Olympic football team: national association football team",
    "Q1675853 - Ivory Coast national rugby union team: national rugby union team of Ivory Coast"
]

[
    "Q695087 - Mars, Incorporated: American global food company and manufacturer",
    "Q123255524 - Mars Inc. awards $4 million for health care in Ukraine: scientific article published in 2023"
]

[
    "Q169940 - deforestation: removal of forest and conversion of the land to non-forest use",
    "Q78217313 - Deforestation: painting by Isaac Levitan",
    "Q2155658 - deforestation: computer science term",
    "Q76441609 - Deforestation: print in the National Gallery of Art (NGA 145148)",
    "Q130742601 - Deforestation: Deforestation trends in tropical Africa"
]

[
    "Q49625 - 2022: year",
    "Q19241645 - 2022: natural number",
    "Q110999040 - Russian invasion of Ukraine: ongoing military conflict in Eastern Europe since 2022",
    "Q108920739 - 2022 UCI Europe Tour: eighteenth season of the UCI Europe Tour",
    "Q110263921 - 2022 UCI World Ranking: None"
]

[
    "Q110723789 - Mighty Earth: nonprofit organization",
    "Q109918156 - Mighty Earthquake and Hurricane: 1984 studio album by Willie Dixon"
]

[
    "Q397350 - agroforestry: land use management system in which trees or shrubs are grown around or among crops or pastureland",
    "Q1864465 - Agroforestry Systems: journal",
    "Q16144223 - agroforestry: None",
    "Q12335780 - Agroforestry: None",
    "Q100340555 - Agroforestry, akkerbosbouw of bos-landbouw in de Tropen: exhibition in 1978"
]

[
    "Q1008 - Ivory Coast: sovereign state in West Africa",
    "Q175145 - Ivory Coast men's national football team: national association football team",
    "Q1544423 - Ivory Coast women's national football team: women's national association football team representing Ivory Coast",
    "Q3589950 - Ivory Coast Olympic football team: national association football team",
    "Q1675853 - Ivory Coast national rugby union team: national rugby union team of Ivory Coast"
]

[
    "Q117 - Ghana: country in West Africa",
    "Q503623 - Gold Coast Colony: former British colony (1867-1957), now Ghana",
    "Q172014 - Ghana men's national football team: men's national association football team representing Ghana",
    "Q42891 - Krishna: major deity in Hinduism, worshipped as the eighth avatar of Vishnu and also as the Supreme god in his own right",
    "Q5555368 - Ghana Medical Journal: journal"
]

[
    "Q397350 - agroforestry: land use management system in which trees or shrubs are grown around or among crops or pastureland",
    "Q1864465 - Agroforestry Systems: journal",
    "Q16144223 - agroforestry: None",
    "Q12335780 - Agroforestry: None",
    "Q100340555 - Agroforestry, akkerbosbouw of bos-landbouw in de Tropen: exhibition in 1978"
]

[
    "Q37787922 - September 1, 2017: Friday in September 2017"
]

[
    "Q4126704 - chimpanzee: species of mammal; species of ape",
    "Q80174 - Pan: genus of mammals, includes 2 species: common chimpanzee and bonobo",
    "Q2963686 - Chimpanzee: 2012 documentary film directed by Alastair Fothergill and Mark Linfield",
    "Q29212866 - Chimpanzee: tapestry and national heritage monument (PM75003906) in the Lucien Paye residence, Paris, France",
    "Q121333290 - Chimpanzee: Sculpture by Kurt Bauer in Hamburg"
]

Output: None of the candidates


Deforestation in African national parks

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, Deforestation in African national parks: In September 2017, an investigationconducted by NGO Mighty Earth found that a large amount of the cocoa used in chocolate produced by Mars and other major chocolate companies was grown illegally innational parksand other protected areas inIvory CoastandGhana.The countries are the world's two largest cocoa producers. The report documents show, in several national parks and other protected areas, 90% or more of the land mass has been converted to cocoa.Less than four percent of Ivory Coast remains densely forested, and the chocolate companies' laissez-faire approach to sourcing has driven extensivedeforestationin Ghana as well.In Ivory Coast, deforestation has pushed chimpanzees into just a few small pockets, and reduced the country's elephant population from several hundred thousand to about 200–400. On the 2022 Chocolate Scorecard, Mars scored the second highest of four possible scores for "Deforestation and Climate" and "Agroforestry", "starting to implement good policies". Mars scored a lower rating (third of the four) for "Agrochemical Management", "needs more work on policy and implementation".

Mars_Inc

Q695087 - Mars, Incorporated: American global food company and manufacturer

Q123255524 - Mars Inc. awards $4 million for health care in Ukraine: scientific article published in 2023

Q42385 - cacao: tree native to tropical South America producing cocoa beans - the source plant of cacao and chocolate

Q195 - chocolate: nutritionally dense or sweet food product from the seed of Theobroma cacao - cocoa bean

Q3309916 - chocolate: tone of dark brown

Q592915 - Chocolate: 2005 film directed by Vivek Agnihotri

Mars_Inc

Q13261 - hot chocolate: heated beverage of chocolate

Q1062396 - cocoa powder: mixture of many substances remaining after cocoa butter is extracted from cacao beans

Q986168 - Cocoa: city in Brevard County, Florida, United States

Mars_Inc

Q111 - Mars: fourth planet in the Solar System from the Sun

Q23482 - Marseille: French commune in Bouches-du-Rhône, Provence-Alpes-Côte d'Azur; the second largest city of France

Q709 - Marshall Islands: country near the equator in the Pacific Ocean

Q1116491 - Mars: commune in Loire, France

Output: None of the candidates