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human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Opera': {'label': 'opera', 'comment': '-'}, 'CultivatedVariety': {'label': 'cultivar (cultivated variety)', 'comment': 'A cultivar is a plant or grouping of plants selected for desirable characteristics that can be maintained by propagation. A plant whose origin or selection is primarily due to intentional human activity.'}, 'Medician': {'label': 'medician', 'comment': '-'}, 'RomanEmperor': {'label': 'roman emperor', 'comment': '-'}, 'WineRegion': {'label': 'wine region', 'comment': '-'}} Available Properties: {'capital': {'label': 'function end year', 'description': 'No description available DataTypeProperty'}, 'capitalPlace': {'label': 'election date', 'description': 'No description available DataTypeProperty'}, 'capitalPosition': {'label': 'MeSH ID', 'description': 'No description available DataTypeProperty'}, 'collectionSize': {'label': 'diseasesDb', 'description': 'No description available DataTypeProperty'}, 'country': {'label': 'eye colour', 'description': 'No description available DataTypeProperty'}, 'deFactoLanguage': {'label': 'certification', 'description': 'No description available DataTypeProperty'}, 'frazioni': {'label': 'average speed (km/s)', 'description': 'The average speed of a thing. DataTypeProperty'}, 'governmentCountry': {'label': 'boiling point (K)', 'description': 'No description available DataTypeProperty'}, 'greekName': {'label': 'name in ancient Greek', 'description': 'No description available DataTypeProperty'}, 'ingredientName': {'label': 'ingredient name (literal)', 'description': 'Main ingredient used to prepare a specific Food or Beverage. For strings use ingredientName, for objects use ingredient. DataTypeProperty'}, 'isPartOfWineRegion': {'label': 'epoch', 'description': 'moment in time used as a referrence point for some time-vaying astronomical quantity DataTypeProperty'}, 'iupacName': {'label': 'IUPAC name', 'description': 'No description available DataTypeProperty'}, 'language': {'label': 'legend thumbnail localization', 'description': 'No description available DataTypeProperty'}, 'latinName': {'label': 'name in latin', 'description': 'No description available DataTypeProperty'}, 'leader': {'label': 'number of all MuscialArtist playing the style', 'description': 'No description available DataTypeProperty'}, 'leaderName': {'label': 'original title', 'description': 'The original title of the work, most of the time in the original language as well DataTypeProperty'}, 'leaderParty': {'label': 'election majority', 'description': 'number of votes the office holder attained DataTypeProperty'}, 'municipality': {'label': 'Human Development Index (HDI)', 'description': 'a composite statistic used to rank countries by level of "human development" DataTypeProperty'}, 'notableIdea': {'label': 'mute character in play', 'description': 'Name of a mute character in play. DataTypeProperty'}, 'notableWine': {'label': 'extinction date', 'description': '!!! Do NOT use this property for non Species related dates!!! - Date when an Organization (eg PoliticalParty, Company) or Species ceased to exist DataTypeProperty'}, 'originalLanguage': {'label': 'lchf draft year', 'description': 'No description available DataTypeProperty'}, 'relatedPlaces': {'label': 'cuisine', 'description': 'National cuisine of a Food or Restaurant DataTypeProperty'}} Subgraph:[['Amatriciana_sauce', 'ingredient', 'Tomato'], ['Rome', 'founder', 'Rex_(king)'], ['Amatriciana_sauce', 'ingredient', 'Pecorino_Romano'], ['Laura_Boldrini', 'nationality', 'Italian_nationality_law'], ['Macerata', 'region', 'Marche'], ['Amatriciana_sauce', 'ingredient', 'Guanciale'], ['Laura_Boldrini', 'birthPlace', 'Macerata'], ['Amatriciana_sauce', 'ingredient', 'Olive_oil'], ['Laura_Boldrini', 'birthPlace', 'Italy']]Text: Amatriciana sauce is a traditional sauce in Italy. The country where Rome is the capital, the language is Italian and Laura Boldrini is the leader. bot:[('Italy', 'capital', 'Rome'), ('Amatriciana_sauce', 'country', 'Italy'), ('Italy', 'language', 'Italian_language'), ('Italy', 'leader', 'Laura_Boldrini'), ('Italy', 'type', 'Country')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Manor': {'label': 'Manor', 'comment': 'Estate and/or (cluster of) lands that are under the jurisdiction of a feudal lord. Hence it is also the shorthand expression for the physical estate itself: a manor is a stately house in the countryside with the surrounding grounds'}, 'SoapCharacter': {'label': 'soap character', 'comment': 'Character of soap - radio or television serial frequently characterized by melodrama, ensemble casts, and sentimentality.'}, 'Dike': {'label': 'dike', 'comment': 'A dike is an elongated naturally occurring ridge or artificially constructed fill or wall, which regulates water levels'}, 'LunarCrater': {'label': 'lunar crater', 'comment': '-'}, 'Chef': {'label': 'chef', 'comment': 'a person who cooks professionally for other people'}} Available Properties: {'abbeychurchBlessing': {'label': 'abbey church blessing', 'description': 'No description available DataTypeProperty'}, 'announcedFrom': {'label': 'number of platform levels', 'description': 'Number of levels of platforms at the station. DataTypeProperty'}, 'boiler': {'label': 'MusicBrainz artist id', 'description': 'MusicBrainz artist. Applies to artists DataTypeProperty'}, 'bourgmestre': {'label': 'premiere year', 'description': 'Year the play was first performed. DataTypeProperty'}, 'chef': {'label': 'event description', 'description': 'This is to describe the event that hapened here (in case there is no event resource to be linked to) DataTypeProperty'}, 'creatorOfDish': {'label': 'motive', 'description': 'The motive of the crime(s) this individual is known for. DataTypeProperty'}, 'hasInput': {'label': 'Dorlands prefix', 'description': 'No description available DataTypeProperty'}, 'hasJunctionWith': {'label': 'CO2 emission (g/km)', 'description': 'No description available DataTypeProperty'}, 'hasVariant': {'label': 'maximum area', 'description': 'No description available DataTypeProperty'}, 'highestMountain': {'label': 'region', 'description': 'The regin where the thing is located or is connected to. ObjectTypeProperty'}, 'ingredient': {'label': 'lunar orbit time (s)', 'description': 'No description available DataTypeProperty'}, 'ingredientName': {'label': 'ingredient name (literal)', 'description': 'Main ingredient used to prepare a specific Food or Beverage. For strings use ingredientName, for objects use ingredient. DataTypeProperty'}, 'isPartOf': {'label': 'orbital inclination', 'description': 'orbital inclination of a stable orbit DataTypeProperty'}, 'medication': {'label': 'victims (string)', 'description': 'Type, description, or name(s) of victims of a ConcentrationCamp, Criminal, SerialKiller, or some other atrocity DataTypeProperty'}, 'part': {'label': 'numberOfDisambiguates', 'description': 'number of disambiguation pages in DBpedia DataTypeProperty'}, 'product': {'label': 'old name', 'description': 'No description available DataTypeProperty'}, 'regionServed': {'label': 'number of bombs', 'description': 'No description available DataTypeProperty'}, 'relatedPlaces': {'label': 'cuisine', 'description': 'National cuisine of a Food or Restaurant DataTypeProperty'}, 'sourceRegion': {'label': 'code on List of Honour', 'description': 'No description available DataTypeProperty'}, 'taxon': {'label': 'blood group', 'description': 'No description available DataTypeProperty'}, 'typeOfGrain': {'label': 'type of grain (wheat etc.)', 'description': 'No description available DataTypeProperty'}, 'typeOfYeast': {'label': 'type of yeast', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Pastry', 'ingredient', 'Sugar'], ['Derbyshire_Dales', 'timeZone', 'Greenwich_Mean_Time'], ['Frangipane', 'ingredient', 'Almond'], ['Derbyshire_Dales', 'subdivision', 'East_Midlands'], ['Bakewell_tart', 'ingredient', 'Frangipane'], ['Shortcrust_pastry', 'ingredient', 'Butter'], ['Pastry', 'ingredient', 'Butter'], ['Shortcrust_pastry', 'ingredient', 'Flour'], ['Derbyshire', 'country', 'United_Kingdom'], ['Pastry', 'ingredient', 'Flour'], ['Pastry', 'ingredient', 'Egg_(food)'], ['Bakewell_tart', 'ingredient', 'Shortcrust_pastry'], ['Bakewell_tart', 'ingredient', 'Jam'], ['Pastry', 'ingredient', 'Baking_powder'], ['Shortcrust_pastry', 'ingredient', 'Water'], ['Shortcrust_pastry', 'ingredient', 'Margarine'], ['Frangipane', 'ingredient', 'Sugar'], ['Shortcrust_pastry', 'ingredient', 'Lard'], ['Pastry', 'ingredient', 'Lard'], ['Derbyshire_Dales', 'timeZone', 'British_Summer_Time'], ['Pastry', 'ingredient', 'Milk'], ['Derbyshire_Dales', 'subdivision', 'Derbyshire'], ['Shortcrust_pastry', 'ingredient', 'Shortening'], ['Frangipane', 'ingredient', 'Butter'], ['Pastry', 'ingredient', 'Shortening'], ['Frangipane', 'ingredient', 'Egg_(food)']]Text: Bakewell tart is a variant of bakewell pudding from the Derbyshire Dales in Derbyshire. The main ingredient is shortcrust pastry. bot:[('Bakewell_pudding', 'hasVariant', 'Bakewell_tart'), ('Bakewell_tart', 'ingredient', 'Shortcrust_pastry'), ('Derbyshire_Dales', 'isPartOf', 'Derbyshire'), ('Bakewell_pudding', 'region', 'Derbyshire_Dales')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'GridironFootballPlayer': {'label': 'gridiron football player', 'comment': 'Gradiron football, also called North American football, is a family of soccer team games played primarily in the United States and Canada.'}, 'SoccerManager': {'label': 'soccer manager', 'comment': '-'}, 'NationalSoccerClub': {'label': 'national soccer club', 'comment': '-'}, 'AmericanFootballCoach': {'label': 'american football coach', 'comment': '-'}, 'SoccerClub': {'label': 'soccer club', 'comment': '-'}} Available Properties: {'club': {'label': 'number of live albums', 'description': 'the number of live albums released by the musical artist DataTypeProperty'}, 'currentTeamManager': {'label': 'year of first ascent', 'description': 'No description available DataTypeProperty'}, 'fc': {'label': 'FC', 'description': 'No description available DataTypeProperty'}, 'formerCoach': {'label': 'number of trails', 'description': 'Number of trails in ski area. DataTypeProperty'}, 'formerTeam': {'label': 'mill dissapeared code NL', 'description': 'No description available DataTypeProperty'}, 'generalManager': {'label': 'fuel capacity (μ³)', 'description': 'No description available DataTypeProperty'}, 'lchfDraft': {'label': 'lchf draft year', 'description': 'No description available DataTypeProperty'}, 'lchfDraftYear': {'label': 'lchf draft year', 'description': 'No description available DataTypeProperty'}, 'leagueManager': {'label': 'minimum temperature (K)', 'description': 'No description available DataTypeProperty'}, 'manager': {'label': 'type of municipality', 'description': 'No description available DataTypeProperty'}, 'managerClub': {'label': 'Gray subject', 'description': "Refers to the famous 1918 edition of Gray's Anatomy. DataTypeProperty"}, 'nciId': {'label': 'NCI', 'description': 'No description available DataTypeProperty'}, 'seasonManager': {'label': 'season manager', 'description': 'No description available DataTypeProperty'}, 'teamManager': {'label': 'blue ski piste number', 'description': 'No description available DataTypeProperty'}, 'youthClub': {'label': 'flag caption', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Frank_de_Boer', 'team', 'FC_Barcelona'], ['Alfred_Schreuder', 'managerClub', 'TSG_1899_Hoffenheim'], ['Frank_de_Boer', 'managerClub', 'AFC_Ajax'], ['Inter_Milan', 'manager', 'Simone_Inzaghi'], ['Frank_de_Boer', 'team', 'Al-Rayyan_SC'], ['Atlanta_United_FC', 'manager', 'Gonzalo_Pineda'], ['Frank_de_Boer', 'team', 'Rangers_F.C.'], ['Alfred_Schreuder', 'managerClub', 'SBV_Vitesse'], ['Frank_de_Boer', 'team', 'AFC_Ajax'], ['Frank_de_Boer', 'team', 'Al-Shamal_Sports_Club'], ['Alfred_Schreuder', 'managerClub', 'FC_Barcelona'], ['Frank_de_Boer', 'managerClub', 'Inter_Milan'], ['Alfred_Schreuder', 'managerClub', 'FC_Twente'], ['Frank_de_Boer', 'managerClub', 'Netherlands_national_football_team'], ['AFC_Ajax', 'manager', 'Alfred_Schreuder'], ['Frank_de_Boer', 'managerClub', 'Atlanta_United_FC'], ['Crystal_Palace_F.C.', 'manager', 'Patrick_Vieira'], ['Alfred_Schreuder', 'managerClub', 'AFC_Ajax'], ['Frank_de_Boer', 'managerClub', 'Crystal_Palace_F.C.'], ['Frank_de_Boer', 'team', 'Galatasaray_S.K._(football)'], ['Frank_de_Boer', 'team', 'Ajax_Youth_Academy'], ['Frank_de_Boer', 'team', 'Netherlands_national_football_team']]Text: Frank de Boer is in the Ajax Youth Academy and manages AFC Ajax. bot:[('Frank_de_Boer', 'club', 'Ajax_Youth_Academy'), ('AFC_Ajax', 'manager', 'Frank_de_Boer'), ('Frank_de_Boer', 'type', 'Animal'), ('AFC_Ajax', 'type', 'SoccerClub')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'GeologicalPeriod': {'label': 'geological period', 'comment': '-'}, 'HistoricalEvent': {'label': 'historical event', 'comment': 'an event that is clearly different from strictly personal events and had historical impact'}, 'HistoricPlace': {'label': 'historic place', 'comment': '-'}, 'CelestialBody': {'label': 'celestial body', 'comment': '-'}, 'HistoricalCountry': {'label': 'Historical country', 'comment': 'ایک ایسی جگہ جو ایک ملک ہوا کرتی تھی۔'}} Available Properties: {'bodyDiscovered': {'label': 'monument protection status', 'description': "The sort of status that is granted to a protected Building or Monument. This is not about being protected or not, this is about the nature of the protection regime. E.g., in the Netherlands the protection status 'rijksmonument' points to more elaborate protection than other statuses. DataTypeProperty"}, 'countryWithFirstSatellite': {'label': 'handisport', 'description': 'No description available DataTypeProperty'}, 'countryWithFirstSatelliteLaunched': {'label': 'Has KML data associated with it (usually because of KML overlays)', 'description': 'No description available DataTypeProperty'}, 'countryWithFirstSpaceflight': {'label': 'has natural bust', 'description': 'No description available DataTypeProperty'}, 'cultivatedVariety': {'label': 'PfizerCumulativeDoses', 'description': '辉瑞是源自美国的跨国制药、生物技术公司,营运总部位于纽约,研发总部位于康涅狄格州的格罗顿市 DataTypeProperty'}, 'discoverer': {'label': 'international phone prefix', 'description': 'No description available DataTypeProperty'}, 'era': {'label': 'numberOfClasses', 'description': 'number of defined Classes DataTypeProperty'}, 'explorer': {'label': 'contract award', 'description': 'No description available DataTypeProperty'}, 'flower': {'label': 'missions', 'description': 'No description available DataTypeProperty'}, 'formerHighschool': {'label': 'relics', 'description': 'Physical remains or personal effects of a saint or venerated person, preserved in a religious building DataTypeProperty'}, 'formerName': {'label': 'former name', 'description': 'No description available DataTypeProperty'}, 'formerTeam': {'label': 'mill dissapeared code NL', 'description': 'No description available DataTypeProperty'}, 'isPartOfWineRegion': {'label': 'epoch', 'description': 'moment in time used as a referrence point for some time-vaying astronomical quantity DataTypeProperty'}, 'namedAfter': {'label': 'original danse competititon', 'description': 'No description available DataTypeProperty'}, 'orogeny': {'label': 'draft position', 'description': 'No description available DataTypeProperty'}, 'periapsis': {'label': 'periapsis (μ)', 'description': 'No description available DataTypeProperty'}, 'period': {'label': 'Dutch artwork code', 'description': 'No description available DataTypeProperty'}, 'plant': {'label': 'cargo water (kg)', 'description': 'No description available DataTypeProperty'}} Subgraph:nanText: 1923 OAA907 XC is the original name of 1001 Gaussia, which was discovered by Sergey Belyavsky and has an epoch date of June 27th 2015. Its periapsis measures 419113394.55312 kilometres. bot:[('1001_Gaussia', 'discoverer', 'Sergey_Belyavsky'), ('1001_Gaussia', 'epoch', '2015-06-27'), ('1001_Gaussia', 'formerName', '1923_OAA907_XC'), ('1001_Gaussia', 'periapsis', '419113394.55312_(kilometres)')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Rebellion': {'label': 'rebellion', 'comment': '-'}, 'Book': {'label': 'book', 'comment': '-'}, 'Novel': {'label': 'novel', 'comment': 'A book of long narrative in literary prose'}, 'PeriodicalLiterature': {'label': 'periodical literature', 'comment': 'Periodical literature (also called a periodical publication or simply a periodical) is a published work that appears in a new edition on a regular schedule. The most familiar examples are the newspaper, often published daily, or weekly; or the magazine, typically published weekly, monthly or as a quarterly. Other examples would be a newsletter, a literary journal or learned journal, or a yearbook.'}, 'HistoricalPeriod': {'label': 'historical period', 'comment': 'A historical Period should be linked to a Place by way of the property dct:spatial (already defined)'}} Available Properties: {'atPage': {'label': 'page number', 'description': 'Page # where the referenced resource is to be found in the source document DataTypeProperty'}, 'author': {'label': 'green long distance piste number', 'description': 'No description available DataTypeProperty'}, 'codeBook': {'label': 'code book', 'description': 'code book or statute book referred to in this legal case DataTypeProperty'}, 'firstPublisher': {'label': 'population density rural (/sqkm)', 'description': 'No description available DataTypeProperty'}, 'introductionDate': {'label': 'introduction date', 'description': 'No description available DataTypeProperty'}, 'isbn': {'label': 'ISBN', 'description': 'The International Standard Book Number (ISBN) is a unique numeric commercial book identifier based upon the 9-digit Standard Book Numbering (SBN) code. DataTypeProperty'}, 'media': {'label': 'date extended', 'description': 'No description available DataTypeProperty'}, 'mediaType': {'label': 'main building', 'description': 'No description available DataTypeProperty'}, 'musicType': {'label': 'main islands', 'description': 'No description available DataTypeProperty'}, 'narrator': {'label': 'national team year', 'description': 'No description available DataTypeProperty'}, 'notableWork': {'label': 'number of piers in water', 'description': 'Number of piers standing in a river or other water in normal conditions. DataTypeProperty'}, 'novel': {'label': 'temperature (K)', 'description': 'No description available DataTypeProperty'}, 'oclc': {'label': 'OCLC', 'description': 'Online Computer Library Center number DataTypeProperty'}, 'prefaceBy': {'label': 'free flight time (μ)', 'description': 'No description available DataTypeProperty'}, 'publisher': {'label': 'lethal when given to rats', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Eric_Flint', 'deathPlace', 'East_Chicago,_Indiana'], ['Eric_Flint', 'notableWork', '1632_(novel)']]Text: The hardcover book 1634: The Ram Rebellion was written by Eric Flint and has the ISBN number 1-4165-2060-0. bot:[('1634:_The_Ram_Rebellion', 'author', 'Eric_Flint'), ('1634:_The_Ram_Rebellion', 'isbn', '1-4165-2060-0'), ('1634:_The_Ram_Rebellion', 'mediaType', 'Hardcover'), ('1634:_The_Ram_Rebellion', 'type', 'WrittenWork')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'AcademicJournal': {'label': 'academic journal', 'comment': '-'}, 'Disease': {'label': 'disease', 'comment': '-'}, 'Outbreak': {'label': 'Outbreak', 'comment': '-'}, 'Pandemic': {'label': 'Pandemic', 'comment': 'Global epidemic of infectious disease'}, 'Publisher': {'label': 'publisher', 'comment': 'Publishing company'}} Available Properties: {'academicDiscipline': {'label': 'fibahof', 'description': 'No description available DataTypeProperty'}, 'collectionSize': {'label': 'diseasesDb', 'description': 'No description available DataTypeProperty'}, 'discipline': {'label': 'austrian land tag', 'description': 'No description available DataTypeProperty'}, 'disease': {'label': 'FC runs', 'description': 'No description available DataTypeProperty'}, 'diseasesDB': {'label': 'DiseasesDB', 'description': 'identifier sourced on the Diseases Database DataTypeProperty'}, 'family': {'label': 'member', 'description': 'No description available DataTypeProperty'}, 'familyMember': {'label': 'spike', 'description': 'No description available DataTypeProperty'}, 'languageFamily': {'label': 'carbohydrate (g)', 'description': 'Amount of carbohydrates per servingSize of a Food DataTypeProperty'}, 'orthologousGene': {'label': 'lunar orbit time (ω)', 'description': 'No description available DataTypeProperty'}, 'pandemic': {'label': 'call sign', 'description': 'A call sign is not the name of a broadcaster! In broadcasting and radio communications, a call sign (also known as a call name or call letters, or abbreviated as a call) is a unique designation for a transmitting station. DataTypeProperty'}, 'percentageLiteracyMen': {'label': "percentage of a place's male population that is literate, degree of analphabetism", 'description': 'No description available DataTypeProperty'}, 'philosophicalSchool': {'label': 'observatory', 'description': 'No description available DataTypeProperty'}, 'publication': {'label': "percentage of a place's male population that is literate, degree of analphabetism", 'description': 'No description available DataTypeProperty'}, 'vaccination': {'label': 'capital elevation (μ)', 'description': 'No description available DataTypeProperty'}, 'wikiPageInDegree': {'label': 'Wiki page in degree', 'description': 'Reserved for DBpedia. DataTypeProperty'}} Subgraph:nanText: The AIDS (journal) is the academic discipline of HIV, a disease part of the Orthoretrovirinae family. bot:[('AIDS_(journal)', 'academicDiscipline', 'HIV'), ('HIV', 'family', 'Orthoretrovirinae')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'GovernmentAgency': {'label': 'government agency', 'comment': 'A government agency is a permanent or semi-permanent organization in the machinery of government that is responsible for the oversight and administration of specific functions, such as an intelligence agency.'}, 'Canton': {'label': 'canton', 'comment': 'An administrative (France) or lawcourts (Netherlands) body governing a territorial unity on the municipal level or somewhat above'}, 'Tram': {'label': 'streetcar', 'comment': '-'}, 'AdministrativeRegion': {'label': 'administrative region', 'comment': 'A PopulatedPlace under the jurisdiction of an administrative body. This body may administer either a whole region or one or more adjacent Settlements (town administration)'}, 'GovernmentalAdministrativeRegion': {'label': 'governmental administrative region', 'comment': 'An administrative body governing some territorial unity, in this case a governmental administrative body'}} Available Properties: {'administrativeDistrict': {'label': 'Number of revision per month', 'description': 'used for DBpedia History > Subject must be a blank node containing a dc:date and a rdfs:value DataTypeProperty'}, 'announcedFrom': {'label': 'number of platform levels', 'description': 'Number of levels of platforms at the station. DataTypeProperty'}, 'ceremonialCounty': {'label': 'UN/LOCODE', 'description': 'UN/LOCODE, the United Nations Code for Trade and Transport Locations, is a geographic coding scheme developed and maintained by United Nations Economic Commission for Europe (UNECE), a unit of the United Nations. UN/LOCODE assigns codes to locations used in trade and transport with functions such as seaports, rail and road terminals, airports, post offices and border crossing points. DataTypeProperty'}, 'collectionSize': {'label': 'diseasesDb', 'description': 'No description available DataTypeProperty'}, 'congressionalDistrict': {'label': 'reporting mark', 'description': 'A reporting mark is a two-, three-, or four-letter alphabetic code used to identify owners or lessees of rolling stock and other equipment used on the North American railroad network. DataTypeProperty'}, 'country': {'label': 'eye colour', 'description': 'No description available DataTypeProperty'}, 'county': {'label': 'INSEE code', 'description': 'numerical indexing code used by the French National Institute for Statistics and Economic Studies (INSEE) to identify various entities DataTypeProperty'}, 'countySeat': {'label': 'DosesFirst', 'description': 'Number of first vaccine doses. DataTypeProperty'}, 'draftLeague': {'label': 'draft league', 'description': 'No description available DataTypeProperty'}, 'draftPick': {'label': 'draft pick', 'description': 'No description available DataTypeProperty'}, 'egafdId': {'label': 'egafd id', 'description': 'No description available DataTypeProperty'}, 'governmentCountry': {'label': 'boiling point (K)', 'description': 'No description available DataTypeProperty'}, 'gradName': {'label': 'GARDName', 'description': 'No description available DataTypeProperty'}, 'gradNum': {'label': 'GARDNum', 'description': 'No description available DataTypeProperty'}, 'isPartOf': {'label': 'orbital inclination', 'description': 'orbital inclination of a stable orbit DataTypeProperty'}, 'part': {'label': 'numberOfDisambiguates', 'description': 'number of disambiguation pages in DBpedia DataTypeProperty'}} Subgraph:[['University_of_Georgia', 'state', 'Georgia_(U.S._state)'], ['United_States', 'largestCity', 'New_York_City'], ['New_York_City', 'country', 'United_States'], ['University_of_Georgia', 'city', 'Athens,_Georgia']]Text: Atlanta is part of DeKalb County in Georgia, United States. bot:[('Atlanta', 'country', 'United_States'), ('Atlanta', 'isPartOf', 'DeKalb_County,_Georgia'), ('Atlanta', 'isPartOf', 'Georgia'), ('Atlanta', 'type', 'Place')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Airport': {'label': 'airport', 'comment': '-'}, 'SoccerClub': {'label': 'soccer club', 'comment': '-'}, 'NationalSoccerClub': {'label': 'national soccer club', 'comment': '-'}, 'SoccerManager': {'label': 'soccer manager', 'comment': '-'}, 'CanadianFootballLeague': {'label': 'liga de fútbol canadiense', 'comment': 'A group of sports teams that compete against each other in canadian football league.'}} Available Properties: {'administrativeHeadCity': {'label': 'ICAO code', 'description': 'ICAO designation for airline companies DataTypeProperty'}, 'city': {'label': 'illiteracy', 'description': 'No description available DataTypeProperty'}, 'cityLink': {'label': 'city link', 'description': 'No description available DataTypeProperty'}, 'collectionSize': {'label': 'diseasesDb', 'description': 'No description available DataTypeProperty'}, 'country': {'label': 'eye colour', 'description': 'No description available DataTypeProperty'}, 'entrezgene': {'label': 'EntrezGene', 'description': 'No description available DataTypeProperty'}, 'faaLocationIdentifier': {'label': 'FAA Location Identifier', 'description': 'No description available DataTypeProperty'}, 'governmentCountry': {'label': 'boiling point (K)', 'description': 'No description available DataTypeProperty'}, 'hubAirport': {'label': 'free', 'description': 'No description available DataTypeProperty'}, 'iataLocationIdentifier': {'label': 'IATA Location Identifier', 'description': 'No description available DataTypeProperty'}, 'location': {'label': 'currency code', 'description': 'ISO 4217 currency designators. DataTypeProperty'}, 'locationCity': {'label': 'date of latest election', 'description': 'No description available DataTypeProperty'}, 'messierName': {'label': 'Messier name', 'description': 'Name for Messier objects DataTypeProperty'}, 'officerInCharge': {'label': 'assets ($)', 'description': 'Assets and liabilities are part of a companis balance sheet. In financial accounting, assets are economic resources. Anything tangible or intangible that is capable of being owned or controlled to produce value and that is held to have positive economic value is considered an asset. DataTypeProperty'}, 'operator': {'label': 'maximum inclination', 'description': 'No description available DataTypeProperty'}, 'parentheses': {'label': 'dec', 'description': 'No description available DataTypeProperty'}, 'stadium': {'label': 'number of players', 'description': 'No description available DataTypeProperty'}, 'targetAirport': {'label': 'mill code BE', 'description': 'mills code from the Belgian database on mills DataTypeProperty'}} Subgraph:[['Madrid', 'country', 'Spain'], ['Spain', 'largestCity', 'Madrid'], ['Adolfo_Camarillo', 'birthPlace', 'San_Buenaventura,_California'], ['Adolfo_Camarillo', 'deathPlace', 'Camarillo,_California']]Text: Operated by ENAIRE (Madrid, Spain), the Adolfo Suárez Madrid–Barajas Airport is in San Sebastián de los Reyes. bot:[('ENAIRE', 'city', 'Madrid'), ('Madrid', 'country', 'Spain'), ('Adolfo_Suárez_Madrid–Barajas_Airport', 'location', 'San_Sebastián_de_los_Reyes'), ('Adolfo_Suárez_Madrid–Barajas_Airport', 'operator', 'ENAIRE'), ('Madrid', 'type', 'City'), ('ENAIRE', 'type', 'Company')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'SubMunicipality': {'label': 'borough', 'comment': 'An administrative body governing a territorial unity on the lowest level, administering part of a municipality'}, 'CityDistrict': {'label': 'city district', 'comment': 'District, borough, area or neighbourhood in a city or town'}, 'Canton': {'label': 'canton', 'comment': 'An administrative (France) or lawcourts (Netherlands) body governing a territorial unity on the municipal level or somewhat above'}, 'Municipality': {'label': 'municipality', 'comment': 'An administrative body governing a territorial unity on the lower level, administering one or a few more settlements'}, 'Museum': {'label': 'museum', 'comment': '-'}} Available Properties: {'amsterdamCode': {'label': 'Amsterdam Code', 'description': 'No description available DataTypeProperty'}, 'announcedFrom': {'label': 'number of platform levels', 'description': 'Number of levels of platforms at the station. DataTypeProperty'}, 'city': {'label': 'illiteracy', 'description': 'No description available DataTypeProperty'}, 'collectionSize': {'label': 'diseasesDb', 'description': 'No description available DataTypeProperty'}, 'council': {'label': 'council of a liechtenstein settlement', 'description': 'No description available DataTypeProperty'}, 'country': {'label': 'eye colour', 'description': 'No description available DataTypeProperty'}, 'currentCity': {'label': 'norwegian center', 'description': 'No description available DataTypeProperty'}, 'governmentCountry': {'label': 'boiling point (K)', 'description': 'No description available DataTypeProperty'}, 'isPartOf': {'label': 'orbital inclination', 'description': 'orbital inclination of a stable orbit DataTypeProperty'}, 'largestSettlement': {'label': 'monument code (provinciall)', 'description': 'Code assigned to (Dutch) monuments at the provincial level, mostly for monuments in the countryside, or for waterworks DataTypeProperty'}, 'leader': {'label': 'number of all MuscialArtist playing the style', 'description': 'No description available DataTypeProperty'}, 'leaderName': {'label': 'original title', 'description': 'The original title of the work, most of the time in the original language as well DataTypeProperty'}, 'leaderParty': {'label': 'election majority', 'description': 'number of votes the office holder attained DataTypeProperty'}, 'locatedInArea': {'label': 'mount', 'description': 'creature ridden by the subject, for instance a horse DataTypeProperty'}, 'location': {'label': 'currency code', 'description': 'ISO 4217 currency designators. DataTypeProperty'}, 'locationCity': {'label': 'date of latest election', 'description': 'No description available DataTypeProperty'}, 'mayorTitle': {'label': 'mayor title of a hungarian settlement', 'description': 'No description available DataTypeProperty'}, 'neighboringMunicipality': {'label': 'percentage of alcohol', 'description': 'percentage of alcohol present in a beverage DataTypeProperty'}, 'neighbourhood': {'label': 'neighbourhood of a hungarian settlement', 'description': 'No description available DataTypeProperty'}, 'northPlace': {'label': 'area', 'description': 'Area of something. Use "value" for the value, "min" & "max" for a range (if uncertain) and "rank" (integer) for the rank of that thing amongst its siblings (eg regions ordered by area) DataTypeProperty'}, 'part': {'label': 'numberOfDisambiguates', 'description': 'number of disambiguation pages in DBpedia DataTypeProperty'}, 'signName': {'label': 'sign name of a hungarian settlement', 'description': 'No description available DataTypeProperty'}} Subgraph:[['New_York_City', 'country', 'United_States'], ['300_North_LaSalle', 'developer', 'Hines_Interests_Limited_Partnership'], ['Illinois', 'largestCity', 'Chicago'], ['Susana_Mendoza', 'birthPlace', 'United_States'], ['Susana_Mendoza', 'birthPlace', 'Illinois'], ['United_States', 'largestCity', 'New_York_City'], ['Susana_Mendoza', 'birthPlace', 'Chicago'], ['Chicago', 'founder', 'Jean_Baptiste_Point_du_Sable'], ['Jean_Baptiste_Point_du_Sable', 'deathPlace', 'St._Charles,_Missouri'], ['300_North_LaSalle', 'location', 'Illinois'], ['Jean_Baptiste_Point_du_Sable', 'deathPlace', 'Missouri_Territory'], ['300_North_LaSalle', 'location', 'Chicago'], ['Susana_Mendoza', 'party', 'Democratic_Party_(United_States)']]Text: 300 North LaSalle is located in Chicago, DuPage County, Illinois, United States where the leader is Susana Mendoza. bot:[('Chicago', 'country', 'United_States'), ('Chicago', 'isPartOf', 'DuPage_County,_Illinois'), ('Chicago', 'leader', 'Susana_Mendoza'), ('300_North_LaSalle', 'location', 'Chicago'), ('Chicago', 'type', 'City')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'HistoricBuilding': {'label': 'historic building', 'comment': '-'}, 'Building': {'label': 'building', 'comment': 'Building is defined as a Civil Engineering structure such as a house, worship center, factory etc. that has a foundation, wall, roof etc. that protect human being and their properties from direct harsh effect of weather like rain, wind, sun etc. (http://en.wikipedia.org/wiki/Building).'}, 'Museum': {'label': 'museum', 'comment': '-'}, 'ReligiousBuilding': {'label': 'religious building', 'comment': '-'}, 'Library': {'label': 'library', 'comment': '-'}} Available Properties: {'building': {'label': 'BRIN code', 'description': 'The code used by the Dutch Ministry of Education to identify a school (as an organisation) DataTypeProperty'}, 'buildingEndDate': {'label': 'building end date', 'description': 'Building end date of an ArchitecturalStructure, man-made Lake, etc. For older structures this can be just a year or century, for newer structures an exact date is preferred DataTypeProperty'}, 'buildingStartDate': {'label': 'building start date', 'description': 'Building start date of an ArchitecturalStructure, man-made Lake, etc. For older structures this can be just a year or century, for newer structures an exact date is preferred DataTypeProperty'}, 'buildingStartYear': {'label': 'building start year', 'description': 'No description available DataTypeProperty'}, 'city': {'label': 'illiteracy', 'description': 'No description available DataTypeProperty'}, 'firstOwner': {'label': 'certification date', 'description': 'No description available DataTypeProperty'}, 'foundationPlace': {'label': 'Genome DB', 'description': 'the edition of the database used (i.e. hg19) DataTypeProperty'}, 'location': {'label': 'currency code', 'description': 'ISO 4217 currency designators. DataTypeProperty'}, 'locationCity': {'label': 'date of latest election', 'description': 'No description available DataTypeProperty'}, 'mainBuilding': {'label': 'main building', 'description': 'No description available DataTypeProperty'}, 'meetingBuilding': {'label': 'height (mm)', 'description': 'No description available DataTypeProperty'}, 'museum': {'label': 'nation', 'description': 'No description available DataTypeProperty'}, 'owner': {'label': 'long distance piste number', 'description': 'No description available DataTypeProperty'}, 'owns': {'label': 'building end date', 'description': 'Building end date of an ArchitecturalStructure, man-made Lake, etc. For older structures this can be just a year or century, for newer structures an exact date is preferred DataTypeProperty'}, 'significantBuilding': {'label': 'longtype', 'description': 'can be used to include more informations e.g. the name of the artist that a tribute album is in honor of DataTypeProperty'}, 'yearOfConstruction': {'label': 'year of construction', 'description': 'The year in which construction of the Place was finished. DataTypeProperty'}} Subgraph:[['Mary_II_of_England', 'successor', 'William_III_&_II'], ['Virginia', 'country', 'United_States'], ['Virginia', 'largestCity', 'Virginia_Beach,_Virginia'], ['United_States', 'house', 'United_States_House_of_Representatives'], ['United_States', 'house', 'United_States_Senate'], ['Mary_II_of_England', 'spouse', 'William_III_&_II']]Text: Alan B. Miller Hall's building, started on 30th March 2007, is located in Williamsburg, Virginia, and owned by the College of William and Mary. bot:[('Alan_B._Miller_Hall', 'buildingStartDate', '30_March_2007'), ('Alan_B._Miller_Hall', 'location', 'Williamsburg,_Virginia'), ('Alan_B._Miller_Hall', 'owner', 'College_of_William_&_Mary'), ('Alan_B._Miller_Hall', 'type', 'Building')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Food': {'label': 'Food', 'comment': 'Food is any eatable or drinkable substance that is normally consumed by humans.'}, 'Restaurant': {'label': 'restaurant', 'comment': '-'}, 'Chef': {'label': 'chef', 'comment': 'a person who cooks professionally for other people'}, 'WineRegion': {'label': 'wine region', 'comment': '-'}, 'GreenAlga': {'label': 'green alga', 'comment': '-'}} Available Properties: {'archipelago': {'label': 'project start date', 'description': 'The start date of the project. DataTypeProperty'}, 'collectionSize': {'label': 'diseasesDb', 'description': 'No description available DataTypeProperty'}, 'country': {'label': 'eye colour', 'description': 'No description available DataTypeProperty'}, 'countryOrigin': {'label': 'number of licensed', 'description': 'nombre de personnes ayant une license pour pratiquer cette activité DataTypeProperty'}, 'creatorOfDish': {'label': 'motive', 'description': 'The motive of the crime(s) this individual is known for. DataTypeProperty'}, 'departmentCode': {'label': ' ', 'description': 'No description available DataTypeProperty'}, 'governmentCountry': {'label': 'boiling point (K)', 'description': 'No description available DataTypeProperty'}, 'highestMountain': {'label': 'region', 'description': 'The regin where the thing is located or is connected to. ObjectTypeProperty'}, 'ingredient': {'label': 'lunar orbit time (s)', 'description': 'No description available DataTypeProperty'}, 'ingredientName': {'label': 'ingredient name (literal)', 'description': 'Main ingredient used to prepare a specific Food or Beverage. For strings use ingredientName, for objects use ingredient. DataTypeProperty'}, 'medication': {'label': 'victims (string)', 'description': 'Type, description, or name(s) of victims of a ConcentrationCamp, Criminal, SerialKiller, or some other atrocity DataTypeProperty'}, 'nameInMindongyuChinese': {'label': 'name in Mindongyu Chinese', 'description': 'No description available DataTypeProperty'}, 'notableWine': {'label': 'extinction date', 'description': '!!! Do NOT use this property for non Species related dates!!! - Date when an Organization (eg PoliticalParty, Company) or Species ceased to exist DataTypeProperty'}, 'product': {'label': 'old name', 'description': 'No description available DataTypeProperty'}, 'rebuilder': {'label': 'ko', 'description': 'No description available DataTypeProperty'}, 'regionServed': {'label': 'number of bombs', 'description': 'No description available DataTypeProperty'}, 'relatedPlaces': {'label': 'cuisine', 'description': 'National cuisine of a Food or Restaurant DataTypeProperty'}, 'sourceRegion': {'label': 'code on List of Honour', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Beef_kway_teow', 'ingredient', 'Dark_soy_sauce'], ['Beef_kway_teow', 'ingredient', 'Oyster_sauce'], ['Beef_kway_teow', 'ingredient', 'Gula_melaka'], ['Beef_kway_teow', 'ingredient', 'Sesame_oil'], ['Singapore', 'ethnicGroup', 'Indian_Singaporeans'], ['Douchi', 'ingredient', 'Fermentation_in_food_processing'], ['Singapore', 'ethnicGroup', 'Demographics_of_Singapore'], ['Malacca', 'governmentType', 'Parliamentary_system'], ['Singapore', 'ethnicGroup', 'Chinese_Singaporeans'], ['Singapore', 'ethnicGroup', 'Malay_Singaporeans']]Text: The Indonesian dish Beef kway teow is popular nationwide in Singapore and Indonesia. Its ingredients include kway teow, beef tenderloin, gula Melaka, sliced, dried black beans, garlic, dark soy sauce, lengkuas, oyster sauce, soya sauce, chilli and sesame oil. bot:[('Beef_kway_teow', 'country', 'Indonesia'), ('Beef_kway_teow', 'ingredient', 'Oyster_sauce'), ('Beef_kway_teow', 'ingredient', 'Kway_teow,_beef_tender_loin,_gula_Melaka,_sliced,_dried_black_beans,_garlic,_dark_soy_sauce,_lengkuas,_oyster_sauce,_soya_sauce,_chilli_and_sesame_oil'), ('Beef_kway_teow', 'region', 'Nationwide_in_Singapore_and_Indonesia')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'StatedResolution': {'label': 'Stated Resolution', 'comment': 'A Resolution describes a formal statement adopted by a meeting or convention.'}, 'Mineral': {'label': 'mineral', 'comment': 'A naturally occurring solid chemical substance.'}, 'Statistic': {'label': 'statistic', 'comment': '-'}, 'Asteroid': {'label': 'asteroid', 'comment': '-'}, 'Pyramid': {'label': 'Pyramid', 'comment': 'a structure whose shape is roughly that of a pyramid in the geometric sense.'}} Available Properties: {'calculationNeeds': {'label': 'discontinued', 'description': 'No description available DataTypeProperty'}, 'mass': {'label': 'mass (g)', 'description': 'No description available DataTypeProperty'}, 'millType': {'label': 'Date Last Updated', 'description': 'No description available DataTypeProperty'}, 'resolution': {'label': 'number of vineyards', 'description': 'No description available DataTypeProperty'}, 'significantProject': {'label': 'suppredded date', 'description': "Date when the Church forbade the veneration of this saint. \r\n(I hope that's what it means, I don't know why the original author didn't document it) DataTypeProperty"}, 'supply': {'label': 'black ski piste number', 'description': 'No description available DataTypeProperty'}, 'volumes': {'label': 'cargo fuel (g)', 'description': 'No description available DataTypeProperty'}, 'weapon': {'label': 'cargo water (g)', 'description': 'No description available DataTypeProperty'}} Subgraph:nanText: 1099 Figneria has a mass of 2.7kg. bot:[('1099_Figneria', 'mass', '2.7_(kilograms)'), ('1099_Figneria', 'type', 'Planet')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Congressman': {'label': 'congressman', 'comment': '-'}, 'Valley': {'label': 'valley', 'comment': 'a depression with predominant extent in one direction'}, 'Governor': {'label': 'governor', 'comment': '-'}, 'HistoricalDistrict': {'label': 'Historical district', 'comment': 'a place which used to be a district.'}, 'ChristianPatriarch': {'label': 'Christian Patriarch', 'comment': '-'}} Available Properties: {'aircraftTransport': {'label': 'governorate', 'description': 'No description available DataTypeProperty'}, 'biggestCity': {'label': 'Deaths', 'description': 'Permanent, irreversible cessation of all biological functions that sustain a living organism ObjectTypeProperty'}, 'birthName': {'label': 'birth name', 'description': 'full name of a person at birth, if different from their current, generally used name DataTypeProperty'}, 'birthPlace': {'label': 'Bioavailability', 'description': '"The rate and extent to which the active ingredient or active moiety is absorbed from a drug product and becomes available at the site of action. For drug products that are not intended to be absorbed into the bloodstream, bioavailability may be assessed by measurements intended to reflect the rate and extent to which the active ingredient or active moiety becomes available at the site of action (21CFR320.1)." DataTypeProperty'}, 'capitalMountain': {'label': 'eMedicine subject', 'description': 'No description available DataTypeProperty'}, 'colonialName': {'label': 'colonial name', 'description': 'No description available DataTypeProperty'}, 'company': {'label': 'inclination', 'description': 'No description available DataTypeProperty'}, 'congressionalDistrict': {'label': 'reporting mark', 'description': 'A reporting mark is a two-, three-, or four-letter alphabetic code used to identify owners or lessees of rolling stock and other equipment used on the North American railroad network. DataTypeProperty'}, 'constituencyDistrict': {'label': 'income', 'description': 'No description available DataTypeProperty'}, 'employer': {'label': 'function start date', 'description': 'No description available DataTypeProperty'}, 'federalState': {'label': 'number of studio albums', 'description': 'the number of studio albums released by the musical artist DataTypeProperty'}, 'highestMountain': {'label': 'region', 'description': 'The regin where the thing is located or is connected to. ObjectTypeProperty'}, 'highestState': {'label': 'power output (kW)', 'description': 'No description available DataTypeProperty'}, 'largestCity': {'label': 'function start year', 'description': 'No description available DataTypeProperty'}, 'largestMetro': {'label': 'weight (kg)', 'description': 'No description available DataTypeProperty'}, 'locality': {'label': 'locality of a switzerland settlement', 'description': 'No description available DataTypeProperty'}, 'location': {'label': 'currency code', 'description': 'ISO 4217 currency designators. DataTypeProperty'}, 'locationCity': {'label': 'date of latest election', 'description': 'No description available DataTypeProperty'}, 'mukhtar': {'label': 'mukthar of a lebanon settlement', 'description': 'No description available DataTypeProperty'}, 'office': {'label': '(political) office', 'description': 'No description available DataTypeProperty'}, 'organisation': {'label': 'number of participating athletes', 'description': 'No description available DataTypeProperty'}, 'regionServed': {'label': 'number of bombs', 'description': 'No description available DataTypeProperty'}, 'sourceRegion': {'label': 'code on List of Honour', 'description': 'No description available DataTypeProperty'}, 'sourceState': {'label': 'settlement code', 'description': 'No description available DataTypeProperty'}, 'state': {'label': 'historical name', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Vermont', 'largestCity', 'Burlington,_Vermont'], ['Alvah_Sabin', 'birthPlace', 'Georgia,_Vermont']]Text: Alvah Sabin, who was born in Georgia, Vermont, worked as the state's secretary and represented Vermont's 3rd Congressional District. Vermont's largest city is Burlington. bot:[('Alvah_Sabin', 'birthPlace', 'Georgia,_Vermont'), ('Vermont', 'largestCity', 'Burlington,_Vermont'), ('Alvah_Sabin', 'office', 'Secretary_of_State_of_Vermont'), ('Alvah_Sabin', 'region', "Vermont's_3rd_congressional_district"), ('Alvah_Sabin', 'state', 'Vermont'), ('Vermont', 'type', 'Place')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Singer': {'label': 'Singer', 'comment': 'a person who sings.'}, 'MusicalArtist': {'label': 'musical artist', 'comment': '-'}, 'SongWriter': {'label': 'songwriter', 'comment': 'a person who writes songs.'}, 'MusicDirector': {'label': 'music director', 'comment': 'A person who is the director of an orchestra or concert band.'}, 'AnimangaCharacter': {'label': 'animanga character', 'comment': 'Anime/Manga character'}} Available Properties: {'activeYearsStartYear': {'label': 'active years start year', 'description': 'No description available DataTypeProperty'}, 'associateStar': {'label': 'project budget funding ($)', 'description': 'The part of the project budget that is funded by the Organistaions given in the "FundedBy" property. DataTypeProperty'}, 'associatedMusicalArtist': {'label': 'iafd id', 'description': 'No description available DataTypeProperty'}, 'birthName': {'label': 'birth name', 'description': 'full name of a person at birth, if different from their current, generally used name DataTypeProperty'}, 'daira': {'label': 'id', 'description': 'No description available DataTypeProperty'}, 'domain': {'label': 'DosesSecond', 'description': 'Number of second vaccine doses. DataTypeProperty'}, 'firstAppearance': {'label': 'first appearance', 'description': 'work in which a fictional/mythical character or entity first appeared DataTypeProperty'}, 'formerBandMember': {'label': 'last flight start date', 'description': 'No description available DataTypeProperty'}, 'formerName': {'label': 'former name', 'description': 'No description available DataTypeProperty'}, 'genre': {'label': 'locality of a switzerland settlement', 'description': 'No description available DataTypeProperty'}, 'literaryGenre': {'label': 'lunar surface time (s)', 'description': 'No description available DataTypeProperty'}, 'musicFusionGenre': {'label': 'free danse score', 'description': 'No description available DataTypeProperty'}, 'musicalArtist': {'label': 'weight (kg)', 'description': 'No description available DataTypeProperty'}, 'notableIdea': {'label': 'mute character in play', 'description': 'Name of a mute character in play. DataTypeProperty'}, 'oldName': {'label': 'old name', 'description': 'No description available DataTypeProperty'}, 'otherFunction': {'label': 'debut', 'description': 'No description available DataTypeProperty'}, 'predecessor': {'label': 'original maximum boat beam (μ)', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Pop_music', 'musicFusionGenre', 'Indie_pop'], ['Pop_music', 'musicFusionGenre', 'Hypnagogic_pop'], ['Pop_music', 'musicFusionGenre', 'Folk-pop'], ['Pop_music', 'musicFusionGenre', 'Country_pop'], ['Power_pop', 'musicFusionGenre', 'Pop-punk'], ['Pop_music', 'musicFusionGenre', 'Power_pop'], ['Contemporary_R&B', 'musicFusionGenre', 'New_jack_swing'], ['Pop_music', 'musicFusionGenre', 'Dancehall_pop'], ['Pop_music', 'musicFusionGenre', 'Electropop'], ['Contemporary_R&B', 'musicFusionGenre', 'Crunk&B'], ['Indie_pop', 'musicFusionGenre', 'Indietronica'], ['Pop_music', 'musicFusionGenre', 'Emo_pop'], ['Pop_music', 'musicFusionGenre', 'Psychedelic_pop'], ['Contemporary_R&B', 'musicFusionGenre', 'Pluggnb'], ['Pop_music', 'musicFusionGenre', 'Pop_rap'], ['Pop_music', 'musicFusionGenre', 'Ambient_pop'], ['Pop_music', 'musicFusionGenre', 'Baroque_pop'], ['Pop_music', 'musicFusionGenre', 'Worldbeat'], ['Pop_music', 'musicFusionGenre', 'Space_age_pop'], ['Pop_music', 'musicFusionGenre', 'Pop_punk'], ['Contemporary_R&B', 'musicFusionGenre', 'Snap_music'], ['Contemporary_R&B', 'musicFusionGenre', "Raï'n'B"], ['Contemporary_R&B', 'musicFusionGenre', 'Latin_R&B'], ['Contemporary_R&B', 'musicFusionGenre', 'Grime_(music_genre)'], ['Pop_music', 'musicFusionGenre', 'Contemporary_R&B'], ['Pop_music', 'musicFusionGenre', 'Cowboy_pop'], ['Pop_music', 'soundRecording', 'Pop_music__Sound__1'], ['Pop_music', 'musicFusionGenre', 'Pop_rock']]Text: Andra is a pop singer who started in 2000. bot:[('Andra_(singer)', 'activeYearsStartYear', '2000'), ('Andra_(singer)', 'genre', 'Pop_music')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Crustacean': {'label': 'crustacean', 'comment': '-'}, 'Mollusca': {'label': 'mollusca', 'comment': '-'}, 'Mineral': {'label': 'mineral', 'comment': 'A naturally occurring solid chemical substance.'}, 'Biologist': {'label': 'biologist', 'comment': '-'}, 'Entomologist': {'label': 'entomologist', 'comment': '-'}} Available Properties: {'biome': {'label': 'numberOfResource', 'description': 'number of all resource in DBpedia (including disambiguation pages and rediretcs) DataTypeProperty'}, 'brother': {'label': 'RefSeq', 'description': 'qualifier to specify Reference Sequence identifier for the Protein and RNA (either p637 or p639) DataTypeProperty'}, 'chEBI': {'label': 'ChEBI', 'description': 'A unique identifier for the drug in the Chemical Entities of Biological Interest (ChEBI) ontology DataTypeProperty'}, 'chef': {'label': 'event description', 'description': 'This is to describe the event that hapened here (in case there is no event resource to be linked to) DataTypeProperty'}, 'collectionSize': {'label': 'diseasesDb', 'description': 'No description available DataTypeProperty'}, 'country': {'label': 'eye colour', 'description': 'No description available DataTypeProperty'}, 'course': {'label': 'course (μ)', 'description': 'No description available DataTypeProperty'}, 'creator': {'label': 'fauna', 'description': 'No description available DataTypeProperty'}, 'friend': {'label': 'total time person has spent in space (m)', 'description': 'No description available DataTypeProperty'}, 'geology': {'label': 'CO2 emission (g/km)', 'description': 'No description available DataTypeProperty'}, 'governmentCountry': {'label': 'boiling point (K)', 'description': 'No description available DataTypeProperty'}, 'hasInput': {'label': 'Dorlands prefix', 'description': 'No description available DataTypeProperty'}, 'hasJunctionWith': {'label': 'CO2 emission (g/km)', 'description': 'No description available DataTypeProperty'}, 'hasVariant': {'label': 'maximum area', 'description': 'No description available DataTypeProperty'}, 'icdo': {'label': 'ICDO', 'description': 'No description available DataTypeProperty'}, 'leader': {'label': 'number of all MuscialArtist playing the style', 'description': 'No description available DataTypeProperty'}, 'leaderName': {'label': 'original title', 'description': 'The original title of the work, most of the time in the original language as well DataTypeProperty'}, 'leaderParty': {'label': 'election majority', 'description': 'number of votes the office holder attained DataTypeProperty'}, 'seniunija': {'label': 'boiling point (K)', 'description': 'No description available DataTypeProperty'}, 'son': {'label': 'arrest date', 'description': 'No description available DataTypeProperty'}, 'species': {'label': 'mgiid', 'description': 'Mouse Genomic Informatics ID DataTypeProperty'}, 'taoiseach': {'label': 'gross domestic product (GDP) per capita', 'description': 'The nominal gross domestic product of a country per capita. DataTypeProperty'}, 'taxon': {'label': 'blood group', 'description': 'No description available DataTypeProperty'}, 'unesco': {'label': 'cable car', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Dessert', 'hasVariant', 'Pie'], ['Bionico', 'region', 'Jalisco'], ['Guadalajara', 'country', 'Mexico'], ['Dessert', 'hasVariant', 'Cookie'], ['Dessert', 'hasVariant', 'Sandesh_(confectionery)'], ['Dessert', 'hasVariant', 'Gelatin_dessert'], ['Bionico', 'country', 'México'], ['Dessert', 'hasVariant', 'Ice_cream'], ['Dessert', 'hasVariant', 'Pudding'], ['Dessert', 'hasVariant', 'Fruit'], ['Dessert', 'hasVariant', 'Cake'], ['Jalisco', 'country', 'Mexico'], ['Mexico_City', 'country', 'Mexico'], ['Dessert', 'hasVariant', 'Tong_sui'], ['Bionico', 'region', 'Guadalajara'], ['Dessert', 'hasVariant', 'Tart'], ['Mexico', 'largestCity', 'Mexico_City'], ['Sandesh_(confectionery)', 'country', 'Indian_subcontinent'], ['Dessert', 'hasVariant', 'Pastry'], ['Dessert', 'hasVariant', 'Biscuit'], ['Tong_sui', 'country', 'China'], ['Dessert', 'hasVariant', 'Custard']]Text: Bionico is a dessert found in Mexico, whose leader is Enrique Pena Nieto. Sandesh is a nice confectionary dessert. bot:[('Bionico', 'country', 'Mexico'), ('Bionico', 'course', 'Dessert'), ('Dessert', 'hasVariant', 'Sandesh_(confectionery)'), ('Mexico', 'leader', 'Enrique_Peña_Nieto'), ('Mexico', 'type', 'Country'), ('Dessert', 'type', 'Food'), ('Bionico', 'type', 'Food')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'GeologicalPeriod': {'label': 'geological period', 'comment': '-'}, 'YearInSpaceflight': {'label': 'year in spaceflight', 'comment': '-'}, 'ProtohistoricalPeriod': {'label': 'protohistorical period', 'comment': '-'}, 'PrehistoricalPeriod': {'label': 'prehistorical period', 'comment': '-'}, 'Year': {'label': 'year', 'comment': '-'}} Available Properties: {'countryWithFirstSatelliteLaunched': {'label': 'Has KML data associated with it (usually because of KML overlays)', 'description': 'No description available DataTypeProperty'}, 'cultivatedVariety': {'label': 'PfizerCumulativeDoses', 'description': '辉瑞是源自美国的跨国制药、生物技术公司,营运总部位于纽约,研发总部位于康涅狄格州的格罗顿市 DataTypeProperty'}, 'era': {'label': 'numberOfClasses', 'description': 'number of defined Classes DataTypeProperty'}, 'flower': {'label': 'missions', 'description': 'No description available DataTypeProperty'}, 'isPartOfWineRegion': {'label': 'epoch', 'description': 'moment in time used as a referrence point for some time-vaying astronomical quantity DataTypeProperty'}, 'march': {'label': 'musical key', 'description': 'No description available DataTypeProperty'}, 'orogeny': {'label': 'draft position', 'description': 'No description available DataTypeProperty'}, 'periapsis': {'label': 'periapsis (μ)', 'description': 'No description available DataTypeProperty'}, 'period': {'label': 'Dutch artwork code', 'description': 'No description available DataTypeProperty'}, 'plant': {'label': 'cargo water (kg)', 'description': 'No description available DataTypeProperty'}, 'timeZone': {'label': 'ONS ID (Office national des statistiques) Algeria', 'description': 'No description available DataTypeProperty'}} Subgraph:nanText: 11264 Claudiomaccone has the epoch date of 26 November 2005 and its periapsis is 296521000.0 kilometres. bot:[('11264_Claudiomaccone', 'epoch', '2005-11-26'), ('11264_Claudiomaccone', 'periapsis', '296521000.0_(kilometres)'), ('11264_Claudiomaccone', 'type', 'Planet')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Food': {'label': 'Food', 'comment': 'Food is any eatable or drinkable substance that is normally consumed by humans.'}, 'WineRegion': {'label': 'wine region', 'comment': '-'}, 'Archipelago': {'label': 'archipelago', 'comment': '-'}, 'Polysaccharide': {'label': 'polysaccharide', 'comment': '-'}, 'Chef': {'label': 'chef', 'comment': 'a person who cooks professionally for other people'}} Available Properties: {'collectionSize': {'label': 'diseasesDb', 'description': 'No description available DataTypeProperty'}, 'country': {'label': 'eye colour', 'description': 'No description available DataTypeProperty'}, 'countryOrigin': {'label': 'number of licensed', 'description': 'nombre de personnes ayant une license pour pratiquer cette activité DataTypeProperty'}, 'departmentCode': {'label': ' ', 'description': 'No description available DataTypeProperty'}, 'governmentCountry': {'label': 'boiling point (K)', 'description': 'No description available DataTypeProperty'}, 'highestMountain': {'label': 'region', 'description': 'The regin where the thing is located or is connected to. ObjectTypeProperty'}, 'ingredient': {'label': 'lunar orbit time (s)', 'description': 'No description available DataTypeProperty'}, 'ingredientName': {'label': 'ingredient name (literal)', 'description': 'Main ingredient used to prepare a specific Food or Beverage. For strings use ingredientName, for objects use ingredient. DataTypeProperty'}, 'isPartOfWineRegion': {'label': 'epoch', 'description': 'moment in time used as a referrence point for some time-vaying astronomical quantity DataTypeProperty'}, 'medication': {'label': 'victims (string)', 'description': 'Type, description, or name(s) of victims of a ConcentrationCamp, Criminal, SerialKiller, or some other atrocity DataTypeProperty'}, 'nameInMindongyuChinese': {'label': 'name in Mindongyu Chinese', 'description': 'No description available DataTypeProperty'}, 'nameInTraditionalChinese': {'label': 'name in Traditional Chinese', 'description': 'No description available DataTypeProperty'}, 'notableWine': {'label': 'extinction date', 'description': '!!! Do NOT use this property for non Species related dates!!! - Date when an Organization (eg PoliticalParty, Company) or Species ceased to exist DataTypeProperty'}, 'product': {'label': 'old name', 'description': 'No description available DataTypeProperty'}, 'regionServed': {'label': 'number of bombs', 'description': 'No description available DataTypeProperty'}, 'relatedPlaces': {'label': 'cuisine', 'description': 'National cuisine of a Food or Restaurant DataTypeProperty'}, 'sourceRegion': {'label': 'code on List of Honour', 'description': 'No description available DataTypeProperty'}, 'wineRegion': {'label': 'ChemSpider Id', 'description': 'identifier in a free chemical database, owned by the Royal Society of Chemistry DataTypeProperty'}} Subgraph:[['Singapore', 'ethnicGroup', 'Malay_Singaporeans'], ['Singapore', 'religion', 'Hinduism_in_Singapore'], ['Singapore', 'religion', 'Taoism_in_Singapore'], ['Soy_sauce', 'ingredient', 'Soybeans'], ['Singapore', 'ethnicGroup', 'Indian_Singaporeans'], ['Singapore', 'ethnicGroup', 'Chinese_Singaporeans'], ['Malacca', 'governmentType', 'Parliamentary_system'], ['Beef_kway_teow', 'ingredient', 'Sesame_oil'], ['Beef_kway_teow', 'ingredient', 'Dark_soy_sauce'], ['Beef_kway_teow', 'ingredient', 'Oyster_sauce'], ['Beef_kway_teow', 'ingredient', 'Gula_melaka'], ['Singapore', 'religion', 'Irreligion_in_Singapore'], ['Singapore', 'ethnicGroup', 'Demographics_of_Singapore'], ['Singapore', 'religion', 'Religion_in_Singapore'], ['Douchi', 'ingredient', 'Fermentation_in_food_processing'], ['Singapore', 'religion', 'Islam_in_Singapore'], ['Singapore', 'religion', 'Buddhism_in_Singapore'], ['Singapore', 'religion', 'Christianity_in_Singapore']]Text: The main ingredients for Beef Kway Teow, a dish commonly found in Indonesia and Singapore, are: Kway teow, beef tender loin, gula Melaka, sliced, dried black beans, garlic, dark soy sauce, lengkuas, oyster sauce, soya sauce, chilli, palm sugar and sesame oil. bot:[('Beef_kway_teow', 'country', 'Singapore_and_Indonesia'), ('Beef_kway_teow', 'ingredient', 'Palm_sugar'), ('Beef_kway_teow', 'ingredient', 'Kway_teow,_beef_tender_loin,_gula_Melaka,_sliced,_dried_black_beans,_garlic,_dark_soy_sauce,_lengkuas,_oyster_sauce,_soya_sauce,_chilli_and_sesame_oil'), ('Beef_kway_teow', 'region', 'Indonesia')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'CultivatedVariety': {'label': 'cultivar (cultivated variety)', 'comment': 'A cultivar is a plant or grouping of plants selected for desirable characteristics that can be maintained by propagation. A plant whose origin or selection is primarily due to intentional human activity.'}, 'Eukaryote': {'label': 'eukaryote', 'comment': '-'}, 'FloweringPlant': {'label': 'flowering plant', 'comment': '-'}, 'Plant': {'label': 'plant', 'comment': '-'}, 'Gnetophytes': {'label': 'Gnetophytes', 'comment': '-'}} Available Properties: {'___': {'label': 'flora', 'description': 'No description available DataTypeProperty'}, 'ceeb': {'label': 'arm', 'description': 'No description available DataTypeProperty'}, 'cultivatedVariety': {'label': 'PfizerCumulativeDoses', 'description': '辉瑞是源自美国的跨国制药、生物技术公司,营运总部位于纽约,研发总部位于康涅狄格州的格罗顿市 DataTypeProperty'}, 'family': {'label': 'member', 'description': 'No description available DataTypeProperty'}, 'familyMember': {'label': 'spike', 'description': 'No description available DataTypeProperty'}, 'genus': {'label': 'lunar module', 'description': 'No description available DataTypeProperty'}, 'ingredient': {'label': 'lunar orbit time (s)', 'description': 'No description available DataTypeProperty'}, 'ingredientName': {'label': 'ingredient name (literal)', 'description': 'Main ingredient used to prepare a specific Food or Beverage. For strings use ingredientName, for objects use ingredient. DataTypeProperty'}, 'languageFamily': {'label': 'carbohydrate (g)', 'description': 'Amount of carbohydrates per servingSize of a Food DataTypeProperty'}, 'medication': {'label': 'victims (string)', 'description': 'Type, description, or name(s) of victims of a ConcentrationCamp, Criminal, SerialKiller, or some other atrocity DataTypeProperty'}, 'nameInTraditionalChinese': {'label': 'name in Traditional Chinese', 'description': 'No description available DataTypeProperty'}, 'phylum': {'label': 'map description', 'description': 'No description available DataTypeProperty'}, 'product': {'label': 'old name', 'description': 'No description available DataTypeProperty'}, 'scientificName': {'label': 'scientific name', 'description': 'No description available DataTypeProperty'}, 'species': {'label': 'mgiid', 'description': 'Mouse Genomic Informatics ID DataTypeProperty'}, 'subGenus': {'label': 'arm', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Bakso', 'ingredient', 'Noodle'], ['Bakso', 'ingredient', 'Celery'], ['Bakso', 'ingredient', 'Vermicelli'], ['Bakso', 'ingredient', 'Ground_beef'], ['Noodle', 'ingredient', 'Leavening_agent'], ['Bakso', 'ingredient', 'Tapioca'], ['Bakso', 'ingredient', 'Beef']]Text: Celery is a member of the family Apiaceae, it is from the genus apium and is an ingredient of Bakso. bot:[('Celery', 'family', 'Apiaceae'), ('Celery', 'genus', 'Apium'), ('Bakso', 'ingredient', 'Celery'), ('Bakso', 'type', 'Food')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'ComicsCharacter': {'label': 'comics character', 'comment': '-'}, 'ComicsCreator': {'label': 'comics creator', 'comment': '-'}, 'DisneyCharacter': {'label': 'disney character', 'comment': '-'}, 'Comic': {'label': 'comic', 'comment': '-'}, 'FictionalCharacter': {'label': 'fictional character', 'comment': '-'}} Available Properties: {'animator': {'label': 'number of pages', 'description': 'The books number of pages. DataTypeProperty'}, 'characterInPlay': {'label': 'character in play', 'description': 'Name of a character in play. DataTypeProperty'}, 'comic': {'label': 'campus type', 'description': 'No description available DataTypeProperty'}, 'created': {'label': 'distance to Charing Cross (μ)', 'description': 'No description available DataTypeProperty'}, 'creator': {'label': 'fauna', 'description': 'No description available DataTypeProperty'}, 'fighter': {'label': 'blazon', 'description': 'Coat of arms (heraldic image) or emblem DataTypeProperty'}, 'firstAppearance': {'label': 'first appearance', 'description': 'work in which a fictional/mythical character or entity first appeared DataTypeProperty'}, 'founder': {'label': 'local phone prefix', 'description': 'No description available DataTypeProperty'}, 'mainCharacter': {'label': 'volume (μ³)', 'description': 'No description available DataTypeProperty'}, 'originalName': {'label': 'original name', 'description': 'The original name of the entity, e.g. film, settlement, etc. DataTypeProperty'}, 'portrayer': {'label': 'US sales', 'description': 'Number of things (eg vehicles) sold in the US DataTypeProperty'}, 'southPlace': {'label': 'mascot', 'description': 'something, especially a person or animal, used to symbolize a sports team, company, organization or other group. DataTypeProperty'}} Subgraph:nanText: Jack Kirby created the comic character Balder. bot:[('Balder_(comicsCharacter)', 'creator', 'Jack_Kirby'), ('Balder_(comicsCharacter)', 'type', 'Hyphen-minus')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'ControlledDesignationOfOriginWine': {'label': 'Controlled designation of origin wine', 'comment': 'A quality assurance label for wines'}, 'CanadianFootballLeague': {'label': 'liga de fútbol canadiense', 'comment': 'A group of sports teams that compete against each other in canadian football league.'}, 'Municipality': {'label': 'municipality', 'comment': 'An administrative body governing a territorial unity on the lower level, administering one or a few more settlements'}, 'Tram': {'label': 'streetcar', 'comment': '-'}, 'Surname': {'label': 'surname', 'comment': '-'}} Available Properties: {'birthDate': {'label': 'birth date', 'description': 'No description available DataTypeProperty'}, 'birthName': {'label': 'birth name', 'description': 'full name of a person at birth, if different from their current, generally used name DataTypeProperty'}, 'birthPlace': {'label': 'Bioavailability', 'description': '"The rate and extent to which the active ingredient or active moiety is absorbed from a drug product and becomes available at the site of action. For drug products that are not intended to be absorbed into the bloodstream, bioavailability may be assessed by measurements intended to reflect the rate and extent to which the active ingredient or active moiety becomes available at the site of action (21CFR320.1)." DataTypeProperty'}, 'countryOrigin': {'label': 'number of licensed', 'description': 'nombre de personnes ayant une license pour pratiquer cette activité DataTypeProperty'}, 'doctoralAdvisor': {'label': 'galicianSpeakersDate', 'description': 'The last inquiry date about linguistics uses. DataTypeProperty'}, 'doctoralStudent': {'label': 'galicianSpeakersPercentage', 'description': 'Percentage of Galician speakers. DataTypeProperty'}, 'firstAscentPerson': {'label': 'size (MB)', 'description': 'size of a file or software DataTypeProperty'}, 'latinName': {'label': 'name in latin', 'description': 'No description available DataTypeProperty'}, 'location': {'label': 'currency code', 'description': 'ISO 4217 currency designators. DataTypeProperty'}, 'locationCity': {'label': 'date of latest election', 'description': 'No description available DataTypeProperty'}, 'nationality': {'label': 'national tournament bronze', 'description': 'No description available DataTypeProperty'}, 'notableWine': {'label': 'extinction date', 'description': '!!! Do NOT use this property for non Species related dates!!! - Date when an Organization (eg PoliticalParty, Company) or Species ceased to exist DataTypeProperty'}, 'orogeny': {'label': 'draft position', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Ponteareas', 'founder', 'Diego_Sarmiento_de_Sotomayor'], ['Spain', 'largestCity', 'Madrid'], ['Madrid', 'country', 'Spain']]Text: Abel Caballero was born in Ponteareas, in Galicia in Spain. bot:[('Abel_Caballero', 'birthPlace', 'Ponteareas'), ('Abel_Caballero', 'birthPlace', 'Galicia_(Spain)')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'ComicsCreator': {'label': 'comics creator', 'comment': '-'}, 'DisneyCharacter': {'label': 'disney character', 'comment': '-'}, 'HollywoodCartoon': {'label': 'hollywood cartoon', 'comment': '-'}, 'ComicsCharacter': {'label': 'comics character', 'comment': '-'}, 'FictionalCharacter': {'label': 'fictional character', 'comment': '-'}} Available Properties: {'amateurKo': {'label': 'amateur ko', 'description': 'No description available DataTypeProperty'}, 'championInDoubleMale': {'label': 'ept title', 'description': 'No description available DataTypeProperty'}, 'commander': {'label': 'imposed danse score', 'description': 'No description available DataTypeProperty'}, 'countryOrigin': {'label': 'number of licensed', 'description': 'nombre de personnes ayant une license pour pratiquer cette activité DataTypeProperty'}, 'created': {'label': 'distance to Charing Cross (μ)', 'description': 'No description available DataTypeProperty'}, 'creator': {'label': 'fauna', 'description': 'No description available DataTypeProperty'}, 'ethnicity': {'label': 'school number', 'description': 'No description available DataTypeProperty'}, 'featuring': {'label': 'RKDartists id', 'description': 'Rijksbureau voor Kunsthistorische Documentatie (RKD) artists database id.\r\nhttp://rkd.nl/explore/artists/$1 DataTypeProperty'}, 'founder': {'label': 'local phone prefix', 'description': 'No description available DataTypeProperty'}, 'goldMedalDouble': {'label': 'gold medal double', 'description': 'No description available DataTypeProperty'}, 'highestRank': {'label': 'highest rank', 'description': 'No description available DataTypeProperty'}, 'mainCharacter': {'label': 'volume (μ³)', 'description': 'No description available DataTypeProperty'}, 'movie': {'label': 'weight (kg)', 'description': 'No description available DataTypeProperty'}, 'nationality': {'label': 'national tournament bronze', 'description': 'No description available DataTypeProperty'}, 'portrayer': {'label': 'US sales', 'description': 'Number of things (eg vehicles) sold in the US DataTypeProperty'}, 'series': {'label': 'other channel', 'description': 'No description available DataTypeProperty'}, 'silverMedalDouble': {'label': 'silver medal double', 'description': 'No description available DataTypeProperty'}, 'silverMedalMixed': {'label': 'silver medal mixed', 'description': 'No description available DataTypeProperty'}, 'soccerLeagueSeason': {'label': 'amgId', 'description': 'No description available DataTypeProperty'}, 'starring': {'label': 'number of dependency', 'description': 'No description available DataTypeProperty'}, 'televisionSeries': {'label': 'visitor percentage change', 'description': 'Percentage increase or decrease. DataTypeProperty'}} Subgraph:[['Baymax', 'creator', 'Steven_T._Seagle'], ['Jamie_Chung', 'birthPlace', 'California'], ['Jamie_Chung', 'education', 'University_of_California,_Riverside'], ['Baymax', 'creator', 'Duncan_Rouleau'], ['Steven_T._Seagle', 'birthPlace', 'Biloxi,_Mississippi'], ['Duncan_Rouleau', 'nationality', 'People_of_the_United_States'], ['Jamie_Chung', 'birthPlace', 'San_Francisco'], ['California', 'largestCity', 'Los_Angeles']]Text: Baymax, a character in Big Hero 6, starring Jamie Chung, was created by Duncan Rouleau, an American. bot:[('Baymax', 'creator', 'Duncan_Rouleau'), ('A', 'm', 'e'), ('Duncan_Rouleau', 'nationality', 'Americans'), ('Baymax', 'series', 'Big_Hero_6_(film)'), ('Big_Hero_6_(film)', 'starring', 'Jamie_Chung'), ('Baymax', 'type', 'Agent')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Actor': {'label': 'actor', 'comment': 'An actor or actress is a person who acts in a dramatic production and who works in film, television, theatre, or radio in that capacity.'}, 'AdultActor': {'label': 'adult (pornographic) actor', 'comment': 'A pornographic actor or actress or a porn star is a person who performs sex acts in film, normally characterised as a pornographic film.'}, 'VoiceActor': {'label': 'voice actor', 'comment': '-'}, 'Comedian': {'label': 'comedian', 'comment': '-'}, 'MovieDirector': {'label': 'Movie director', 'comment': 'a person who oversees making of film.'}} Available Properties: {'americanComedyAward': {'label': 'number of lines', 'description': 'Number of lines in the transit system. DataTypeProperty'}, 'director': {'label': 'european championship', 'description': 'No description available DataTypeProperty'}, 'episodeNumber': {'label': 'episode number', 'description': 'The episode number of the TelevisionEpisode. DataTypeProperty'}, 'executiveProducer': {'label': 'number of launches', 'description': 'No description available DataTypeProperty'}, 'featuring': {'label': 'RKDartists id', 'description': 'Rijksbureau voor Kunsthistorische Documentatie (RKD) artists database id.\r\nhttp://rkd.nl/explore/artists/$1 DataTypeProperty'}, 'firstAppearance': {'label': 'first appearance', 'description': 'work in which a fictional/mythical character or entity first appeared DataTypeProperty'}, 'flagBearer': {'label': 'crews', 'description': 'No description available DataTypeProperty'}, 'imdbId': {'label': 'IMDB id', 'description': 'International Movie Database ID. Applies to Films, Actors, etc DataTypeProperty'}, 'mainCharacter': {'label': 'volume (μ³)', 'description': 'No description available DataTypeProperty'}, 'movie': {'label': 'weight (kg)', 'description': 'No description available DataTypeProperty'}, 'portrayer': {'label': 'US sales', 'description': 'Number of things (eg vehicles) sold in the US DataTypeProperty'}, 'seasonManager': {'label': 'season manager', 'description': 'No description available DataTypeProperty'}, 'starring': {'label': 'number of dependency', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Rochdale', 'metropolitanBorough', 'Metropolitan_Borough_of_Rochdale'], ['Bill_Oddie', 'birthPlace', 'Rochdale'], ['Bill_Oddie', 'party', 'Green_Party_of_England_and_Wales']]Text: Bill Oddie starred in Bananaman. bot:[('Bananaman', 'starring', 'Bill_Oddie'), ('Bananaman', 'type', 'Hyphen-minus')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'LightNovel': {'label': 'light novel', 'comment': 'A style of Japanese novel'}, 'Novel': {'label': 'novel', 'comment': 'A book of long narrative in literary prose'}, 'Book': {'label': 'book', 'comment': '-'}, 'Library': {'label': 'library', 'comment': '-'}, 'LiteraryGenre': {'label': 'literary genre', 'comment': 'Genres of literature, e.g. Satire, Gothic'}} Available Properties: {'author': {'label': 'green long distance piste number', 'description': 'No description available DataTypeProperty'}, 'codeBook': {'label': 'code book', 'description': 'code book or statute book referred to in this legal case DataTypeProperty'}, 'firstPublisher': {'label': 'population density rural (/sqkm)', 'description': 'No description available DataTypeProperty'}, 'isbn': {'label': 'ISBN', 'description': 'The International Standard Book Number (ISBN) is a unique numeric commercial book identifier based upon the 9-digit Standard Book Numbering (SBN) code. DataTypeProperty'}, 'literaryGenre': {'label': 'lunar surface time (s)', 'description': 'No description available DataTypeProperty'}, 'narrator': {'label': 'national team year', 'description': 'No description available DataTypeProperty'}, 'notableWork': {'label': 'number of piers in water', 'description': 'Number of piers standing in a river or other water in normal conditions. DataTypeProperty'}, 'novel': {'label': 'temperature (K)', 'description': 'No description available DataTypeProperty'}, 'prefaceBy': {'label': 'free flight time (μ)', 'description': 'No description available DataTypeProperty'}, 'publisher': {'label': 'lethal when given to rats', 'description': 'No description available DataTypeProperty'}, 'refcul': {'label': 'reference for cultural data', 'description': 'No description available DataTypeProperty'}, 'refgen': {'label': 'reference for general data', 'description': 'No description available DataTypeProperty'}, 'refgeo': {'label': 'reference for geographic data', 'description': 'No description available DataTypeProperty'}} Subgraph:nanText: A Fortress of Grey Ice was written by J. V. Jones and has the ISBN number 0-7653-0633-6. bot:[('A_Fortress_of_Grey_Ice', 'author', 'J._V._Jones'), ('A_Fortress_of_Grey_Ice', 'isbn', '0-7653-0633-6'), ('A_Fortress_of_Grey_Ice', 'type', 'WrittenWork')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Area': {'label': 'area', 'comment': 'Area of something. Use "value" for the value, "min" & "max" for a range (if uncertain) and "rank" (integer) for the rank of that thing amongst its siblings (eg regions ordered by area)'}, 'CityDistrict': {'label': 'city district', 'comment': 'District, borough, area or neighbourhood in a city or town'}, 'City': {'label': 'city', 'comment': 'a relatively large and permanent settlement, particularly a large urban settlement'}, 'State': {'label': 'state', 'comment': '-'}, 'AdministrativeRegion': {'label': 'administrative region', 'comment': 'A PopulatedPlace under the jurisdiction of an administrative body. This body may administer either a whole region or one or more adjacent Settlements (town administration)'}} Available Properties: {'agglomerationArea': {'label': 'issn', 'description': 'International Standard Serial Number (ISSN) DataTypeProperty'}, 'agglomerationPopulation': {'label': 'last election date', 'description': 'The last election date for the house. DataTypeProperty'}, 'altitude': {'label': 'legislative period name', 'description': 'The term of the on-going session (e.g.: "40th Canadian Parliament"). DataTypeProperty'}, 'announcedFrom': {'label': 'number of platform levels', 'description': 'Number of levels of platforms at the station. DataTypeProperty'}, 'areaCode': {'label': 'area code', 'description': 'Area code for telephone numbers. Use this not phonePrefix DataTypeProperty'}, 'areaOfSearch': {'label': 'Number of unique contributors', 'description': 'used for DBpedia History DataTypeProperty'}, 'areaTotal': {'label': 'area total (m2)', 'description': 'No description available DataTypeProperty'}, 'broadcastArea': {'label': 'gross domestic product as of', 'description': 'No description available DataTypeProperty'}, 'codeDistrict': {'label': 'City district code', 'description': 'No description available DataTypeProperty'}, 'elevation': {'label': 'elevation (μ)', 'description': 'average elevation above the sea level DataTypeProperty'}, 'highestAltitude': {'label': 'height (mm)', 'description': 'No description available DataTypeProperty'}, 'highestState': {'label': 'power output (kW)', 'description': 'No description available DataTypeProperty'}, 'isPartOf': {'label': 'orbital inclination', 'description': 'orbital inclination of a stable orbit DataTypeProperty'}, 'lieutenancyArea': {'label': 'average speed (km/s)', 'description': 'The average speed of a thing. DataTypeProperty'}, 'locatedInArea': {'label': 'mount', 'description': 'creature ridden by the subject, for instance a horse DataTypeProperty'}, 'lowestAltitude': {'label': 'area metro (km2)', 'description': 'No description available DataTypeProperty'}, 'part': {'label': 'numberOfDisambiguates', 'description': 'number of disambiguation pages in DBpedia DataTypeProperty'}, 'population': {'label': 'CAS number', 'description': 'Chemical Abstracts Service number. Applicable to ChemicalCompound or Biomolecule (eg Protein) DataTypeProperty'}, 'populationDensity': {'label': 'population density (/sqkm)', 'description': 'No description available DataTypeProperty'}, 'populationTotalReference': {'label': 'defeat as team manager', 'description': 'No description available DataTypeProperty'}, 'populationUrbanDensity': {'label': 'population urban density (/sqkm)', 'description': 'No description available DataTypeProperty'}, 'principalArea': {'label': 'call sign meaning', 'description': 'The out written call sign. DataTypeProperty'}, 'wholeArea': {'label': 'first flight end date', 'description': 'No description available DataTypeProperty'}} Subgraph:[['United_States', 'largestCity', 'New_York_City'], ['Indiana', 'country', 'United_States']]Text: Anderson, Indiana is 268 above sea level and uses the 765 area code. The city is 107.43 square kilometres large and has 523.9 residents per square kilometre. bot:[('Anderson,_Indiana', 'areaCode', '765'), ('Anderson,_Indiana', 'areaTotal', '107.43_(square_kilometres)'), ('Anderson,_Indiana', 'elevation', '268.0'), ('Anderson,_Indiana', 'isPartOf', 'Indiana'), ('Anderson,_Indiana', 'populationDensity', '523.9_(inhabitants_per_square_kilometre)')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Congressman': {'label': 'congressman', 'comment': '-'}, 'District': {'label': 'district', 'comment': '-'}, 'CityDistrict': {'label': 'city district', 'comment': 'District, borough, area or neighbourhood in a city or town'}, 'Legislature': {'label': 'legislature', 'comment': '-'}, 'GovernmentalAdministrativeRegion': {'label': 'governmental administrative region', 'comment': 'An administrative body governing some territorial unity, in this case a governmental administrative body'}} Available Properties: {'administrativeDistrict': {'label': 'Number of revision per month', 'description': 'used for DBpedia History > Subject must be a blank node containing a dc:date and a rdfs:value DataTypeProperty'}, 'announcedFrom': {'label': 'number of platform levels', 'description': 'Number of levels of platforms at the station. DataTypeProperty'}, 'city': {'label': 'illiteracy', 'description': 'No description available DataTypeProperty'}, 'congressionalDistrict': {'label': 'reporting mark', 'description': 'A reporting mark is a two-, three-, or four-letter alphabetic code used to identify owners or lessees of rolling stock and other equipment used on the North American railroad network. DataTypeProperty'}, 'county': {'label': 'INSEE code', 'description': 'numerical indexing code used by the French National Institute for Statistics and Economic Studies (INSEE) to identify various entities DataTypeProperty'}, 'countySeat': {'label': 'DosesFirst', 'description': 'Number of first vaccine doses. DataTypeProperty'}, 'district': {'label': 'hip size (μ)', 'description': 'No description available DataTypeProperty'}, 'isPartOf': {'label': 'orbital inclination', 'description': 'orbital inclination of a stable orbit DataTypeProperty'}, 'leader': {'label': 'number of all MuscialArtist playing the style', 'description': 'No description available DataTypeProperty'}, 'leaderName': {'label': 'original title', 'description': 'The original title of the work, most of the time in the original language as well DataTypeProperty'}, 'leaderParty': {'label': 'election majority', 'description': 'number of votes the office holder attained DataTypeProperty'}, 'leaderTitle': {'label': 'leader title', 'description': 'No description available DataTypeProperty'}, 'location': {'label': 'currency code', 'description': 'ISO 4217 currency designators. DataTypeProperty'}, 'locationCity': {'label': 'date of latest election', 'description': 'No description available DataTypeProperty'}, 'numberOfCounties': {'label': 'number of counties', 'description': 'No description available DataTypeProperty'}, 'numberOfDistrict': {'label': 'number of district', 'description': 'No description available DataTypeProperty'}, 'office': {'label': '(political) office', 'description': 'No description available DataTypeProperty'}, 'part': {'label': 'numberOfDisambiguates', 'description': 'number of disambiguation pages in DBpedia DataTypeProperty'}, 'politicalSeats': {'label': 'political seats', 'description': 'No description available DataTypeProperty'}, 'representative': {'label': 'number of representatives', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Los_Angeles', 'country', 'United_States'], ['California', 'largestCity', 'Los_Angeles'], ['Angel_Stadium', 'location', 'Anaheim,_California'], ['California', 'country', 'United_States'], ['United_States', 'largestCity', 'New_York_City'], ['Angel_Stadium', 'location', 'United_States'], ['United_States', 'legislature', 'United_States_Congress'], ['Orange_County_SC', 'league', 'USL_Championship']]Text: The United States House of Representatives (in the United States), leads Anaheim, a city in Orange County which is part of California. bot:[('Anaheim,_California', 'isPartOf', 'Orange_County,_California'), ('Anaheim,_California', 'leaderTitle', 'United_States_House_of_Representatives'), ('United_States_House_of_Representatives', 'location', 'United_States'), ('A', 'n', 'g'), ('United_States_House_of_Representatives', 'type', 'Agent'), ('Anaheim,_California', 'type', 'Location')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Polysaccharide': {'label': 'polysaccharide', 'comment': '-'}, 'Cheese': {'label': 'cheese', 'comment': 'A milk product prepared for human consumption'}, 'Opera': {'label': 'opera', 'comment': '-'}, 'Crustacean': {'label': 'crustacean', 'comment': '-'}, 'Food': {'label': 'Food', 'comment': 'Food is any eatable or drinkable substance that is normally consumed by humans.'}} Available Properties: {'astrazenca': {'label': 'Astrazenca', 'description': 'AstraZeneca plc is a British-Swedish multinational pharmaceutical and biotechnology company with its headquarters at the Cambridge Biomedical Campus in Cambridge, England. DataTypeProperty'}, 'astrazencaCumul': {'label': 'AstrazencaCumulativeDoses', 'description': '阿斯利康制药公司,是一家由瑞典阿斯特公司(Astra AB)和英国捷利康公司(Zeneca Group PLC)于1999年4月6日合并而成的大型英瑞合资生物制药企业 DataTypeProperty'}, 'carbohydrate': {'label': 'carbohydrate (g)', 'description': 'Amount of carbohydrates per servingSize of a Food DataTypeProperty'}, 'chef': {'label': 'event description', 'description': 'This is to describe the event that hapened here (in case there is no event resource to be linked to) DataTypeProperty'}, 'collectionSize': {'label': 'diseasesDb', 'description': 'No description available DataTypeProperty'}, 'country': {'label': 'eye colour', 'description': 'No description available DataTypeProperty'}, 'countryOrigin': {'label': 'number of licensed', 'description': 'nombre de personnes ayant une license pour pratiquer cette activité DataTypeProperty'}, 'cultivatedVariety': {'label': 'PfizerCumulativeDoses', 'description': '辉瑞是源自美国的跨国制药、生物技术公司,营运总部位于纽约,研发总部位于康涅狄格州的格罗顿市 DataTypeProperty'}, 'governmentCountry': {'label': 'boiling point (K)', 'description': 'No description available DataTypeProperty'}, 'ingredient': {'label': 'lunar orbit time (s)', 'description': 'No description available DataTypeProperty'}, 'ingredientName': {'label': 'ingredient name (literal)', 'description': 'Main ingredient used to prepare a specific Food or Beverage. For strings use ingredientName, for objects use ingredient. DataTypeProperty'}, 'medication': {'label': 'victims (string)', 'description': 'Type, description, or name(s) of victims of a ConcentrationCamp, Criminal, SerialKiller, or some other atrocity DataTypeProperty'}, 'product': {'label': 'old name', 'description': 'No description available DataTypeProperty'}, 'stateOfOrigin': {'label': 'free prog competition', 'description': 'No description available DataTypeProperty'}, 'typeOfGrain': {'label': 'type of grain (wheat etc.)', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Bread', 'ingredient', 'Flour'], ['Ajoblanco', 'ingredient', 'Water'], ['Ajoblanco', 'ingredient', 'Almond'], ['Ajoblanco', 'ingredient', 'Olive_oil'], ['Ajoblanco', 'ingredient', 'Garlic'], ['Spain', 'religion', 'Christianity'], ['Spain', 'largestCity', 'Madrid'], ['Spain', 'religion', 'Irreligion'], ['Bread', 'ingredient', 'Water'], ['Ajoblanco', 'ingredient', 'Bread']]Text: Bread is an ingredient of Ajoblanco which comes from Spain. bot:[('Ajoblanco', 'country', 'Spain'), ('Ajoblanco', 'ingredient', 'Bread'), ('Ajoblanco', 'type', 'Food')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'EthnicGroup': {'label': 'ethnic group', 'comment': '-'}, 'AmericanFootballTeam': {'label': 'american football Team', 'comment': '-'}, 'AmericanFootballLeague': {'label': 'american football league', 'comment': 'A group of sports teams that compete against each other in american football.'}, 'Mosque': {'label': 'mosque', 'comment': 'A mosque, sometimes spelt mosk, is a place of worship for followers of Islam.'}, 'AmericanFootballPlayer': {'label': 'american football player', 'comment': '-'}} Available Properties: {'collectionSize': {'label': 'diseasesDb', 'description': 'No description available DataTypeProperty'}, 'continent': {'label': 'PersonsFullDosesCumul', 'description': 'Number of persons received full vaccine doses DataTypeProperty'}, 'country': {'label': 'eye colour', 'description': 'No description available DataTypeProperty'}, 'countryCode': {'label': 'country code', 'description': 'Country code for telephone numbers. DataTypeProperty'}, 'demographicsAsOf': {'label': 'demographics as of', 'description': 'No description available DataTypeProperty'}, 'ethnicGroup': {'label': 'election date leader', 'description': 'The date that leader was elected. DataTypeProperty'}, 'ethnicGroupsInYear': {'label': 'ethnic groups in year', 'description': 'No description available DataTypeProperty'}, 'ethnicity': {'label': 'school number', 'description': 'No description available DataTypeProperty'}, 'faaLocationIdentifier': {'label': 'FAA Location Identifier', 'description': 'No description available DataTypeProperty'}, 'governmentCountry': {'label': 'boiling point (K)', 'description': 'No description available DataTypeProperty'}, 'lawCountry': {'label': 'law country', 'description': 'No description available DataTypeProperty'}, 'race': {'label': 'displacement (g)', 'description': "A ship's displacement is its mass at any given time. DataTypeProperty"}} Subgraph:[['Illinois', 'largestCity', 'Chicago'], ['Washington_(state)', 'country', 'United_States'], ['Asian_Americans', 'populationPlace', 'Virginia'], ['New_York_(state)', 'largestCity', 'New_York_City'], ['Asian_Americans', 'populationPlace', 'Hawaii'], ['Asian_Americans', 'populationPlace', 'Pennsylvania'], ['Florida', 'country', 'United_States'], ['New_Jersey', 'largestCity', 'Newark,_New_Jersey'], ['Texas', 'largestCity', 'Houston'], ['Virginia', 'largestCity', 'Virginia_Beach,_Virginia'], ['Florida', 'largestCity', 'Jacksonville,_Florida'], ['Asian_Americans', 'populationPlace', 'Washington_(state)'], ['United_States', 'largestCity', 'New_York_City'], ['Washington_(state)', 'largestCity', 'Seattle'], ['Asian_Americans', 'populationPlace', 'Florida'], ['California', 'country', 'United_States'], ['New_Jersey', 'country', 'United_States'], ['New_York_(state)', 'country', 'United_States'], ['Texas', 'country', 'United_States'], ['Neville_Arena', 'location', 'Auburn,_Alabama'], ['Asian_Americans', 'populationPlace', 'Texas'], ['Hawaii', 'country', 'United_States'], ['Pennsylvania', 'country', 'United_States'], ['California', 'largestCity', 'Los_Angeles'], ['Virginia', 'country', 'United_States'], ['Asian_Americans', 'populationPlace', 'New_York_(state)'], ['New_York_City', 'country', 'United_States'], ['Asian_Americans', 'populationPlace', 'California'], ['Asian_Americans', 'populationPlace', 'New_Jersey'], ['Illinois', 'country', 'United_States'], ['Pennsylvania', 'largestCity', 'Philadelphia'], ['Asian_Americans', 'populationPlace', 'Illinois']]Text: Auburn, Alabama is located in the United States, a country where one of the ethnic groups is Asian Americans. bot:[('Auburn,_Alabama', 'country', 'United_States'), ('United_States', 'ethnicGroup', 'Asian_Americans'), ('A', 's', 'i'), ('United_States', 'type', 'Location'), ('Auburn,_Alabama', 'type', 'Location')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Document': {'label': 'document', 'comment': 'Any document'}, 'Publisher': {'label': 'publisher', 'comment': 'Publishing company'}, 'PeriodicalLiterature': {'label': 'periodical literature', 'comment': 'Periodical literature (also called a periodical publication or simply a periodical) is a published work that appears in a new edition on a regular schedule. The most familiar examples are the newspaper, often published daily, or weekly; or the magazine, typically published weekly, monthly or as a quarterly. Other examples would be a newsletter, a literary journal or learned journal, or a yearbook.'}, 'SongWriter': {'label': 'songwriter', 'comment': 'a person who writes songs.'}, 'LightNovel': {'label': 'light novel', 'comment': 'A style of Japanese novel'}} Available Properties: {'author': {'label': 'green long distance piste number', 'description': 'No description available DataTypeProperty'}, 'curator': {'label': 'atomic weight', 'description': 'the ratio of the average mass of atoms of an element (from a single given sample or source) to 1⁄12 of the mass of an atom of carbon-12 DataTypeProperty'}, 'documentNumber': {'label': 'document number', 'description': 'Identification a document within a particular registry DataTypeProperty'}, 'dutchArtworkCode': {'label': 'Dutch artwork code', 'description': 'No description available DataTypeProperty'}, 'firstPublisher': {'label': 'population density rural (/sqkm)', 'description': 'No description available DataTypeProperty'}, 'illustrator': {'label': 'laterality', 'description': 'No description available DataTypeProperty'}, 'isbn': {'label': 'ISBN', 'description': 'The International Standard Book Number (ISBN) is a unique numeric commercial book identifier based upon the 9-digit Standard Book Numbering (SBN) code. DataTypeProperty'}, 'media': {'label': 'date extended', 'description': 'No description available DataTypeProperty'}, 'mediaType': {'label': 'main building', 'description': 'No description available DataTypeProperty'}, 'musicType': {'label': 'main islands', 'description': 'No description available DataTypeProperty'}, 'narrator': {'label': 'national team year', 'description': 'No description available DataTypeProperty'}, 'notableWork': {'label': 'number of piers in water', 'description': 'Number of piers standing in a river or other water in normal conditions. DataTypeProperty'}, 'oclc': {'label': 'OCLC', 'description': 'Online Computer Library Center number DataTypeProperty'}, 'prefaceBy': {'label': 'free flight time (μ)', 'description': 'No description available DataTypeProperty'}, 'publication': {'label': 'lethal when given to rats', 'description': 'No description available DataTypeProperty'}, 'publisher': {'label': 'lethal when given to rats', 'description': 'No description available DataTypeProperty'}} Subgraph:[['OCLC', 'locationCity', 'Dublin,_Ohio'], ['Garth_Nix', 'birthPlace', 'Victoria_(Australia)'], ['OCLC', 'foundedBy', 'Frederick_G._Kilgour'], ['Garth_Nix', 'birthPlace', 'Melbourne'], ['Aenir', 'publisher', 'Scholastic_Corporation'], ['Aenir', 'author', 'Garth_Nix']]Text: Aenir, OCLC number 45644811, by author Garth Nix is available in print. bot:[('Aenir', 'author', 'Garth_Nix'), ('Aenir', 'mediaType', 'Print'), ('Aenir', 'oclc', '45644811'), ('Aenir', 'type', 'Book')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Governor': {'label': 'governor', 'comment': '-'}, 'Singer': {'label': 'Singer', 'comment': 'a person who sings.'}, 'Actor': {'label': 'actor', 'comment': 'An actor or actress is a person who acts in a dramatic production and who works in film, television, theatre, or radio in that capacity.'}, 'Wrestler': {'label': 'wrestler', 'comment': '-'}, 'VoiceActor': {'label': 'voice actor', 'comment': '-'}} Available Properties: {'birthName': {'label': 'birth name', 'description': 'full name of a person at birth, if different from their current, generally used name DataTypeProperty'}, 'birthPlace': {'label': 'Bioavailability', 'description': '"The rate and extent to which the active ingredient or active moiety is absorbed from a drug product and becomes available at the site of action. For drug products that are not intended to be absorbed into the bloodstream, bioavailability may be assessed by measurements intended to reflect the rate and extent to which the active ingredient or active moiety becomes available at the site of action (21CFR320.1)." DataTypeProperty'}, 'company': {'label': 'inclination', 'description': 'No description available DataTypeProperty'}, 'dean': {'label': 'final publication date', 'description': 'Date of the final publication. DataTypeProperty'}, 'employer': {'label': 'function start date', 'description': 'No description available DataTypeProperty'}, 'familyMember': {'label': 'spike', 'description': 'No description available DataTypeProperty'}, 'formerBandMember': {'label': 'last flight start date', 'description': 'No description available DataTypeProperty'}, 'formerCoach': {'label': 'number of trails', 'description': 'Number of trails in ski area. DataTypeProperty'}, 'formerHighschool': {'label': 'relics', 'description': 'Physical remains or personal effects of a saint or venerated person, preserved in a religious building DataTypeProperty'}, 'formerName': {'label': 'former name', 'description': 'No description available DataTypeProperty'}, 'governor': {'label': 'Number Of Municipalities', 'description': 'No description available DataTypeProperty'}, 'heir': {'label': 'displacement (cc)', 'description': 'No description available DataTypeProperty'}, 'leaderParty': {'label': 'election majority', 'description': 'number of votes the office holder attained DataTypeProperty'}, 'location': {'label': 'currency code', 'description': 'ISO 4217 currency designators. DataTypeProperty'}, 'locationCity': {'label': 'date of latest election', 'description': 'No description available DataTypeProperty'}, 'office': {'label': '(political) office', 'description': 'No description available DataTypeProperty'}, 'organisation': {'label': 'number of participating athletes', 'description': 'No description available DataTypeProperty'}, 'otherParty': {'label': 'bridge carries', 'description': 'Type of vehicles the bridge carries. DataTypeProperty'}, 'party': {'label': 'number of people attending', 'description': 'No description available DataTypeProperty'}, 'predecessor': {'label': 'original maximum boat beam (μ)', 'description': 'No description available DataTypeProperty'}, 'previousName': {'label': 'previous name', 'description': 'No description available DataTypeProperty'}, 'successor': {'label': 'other name', 'description': 'No description available DataTypeProperty'}, 'undraftedYear': {'label': 'undrafted year', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Texas', 'largestCity', 'Houston'], ['Houston', 'namedAfter', 'Sam_Houston'], ['Price_Daniel', 'birthPlace', 'Dayton,_Texas']]Text: Allan Shivers was born in Lufkin, Texas and served in the Democratic Party in the U.S. He worked as the Governor of Texas and was succeeded by, Price Daniel. bot:[('Allan_Shivers', 'birthPlace', 'Lufkin,_Texas'), ('Allan_Shivers', 'office', 'Governor_of_Texas'), ('Allan_Shivers', 'party', 'Democratic_Party_(United_States)'), ('Allan_Shivers', 'successor', 'Price_Daniel'), ('Allan_Shivers', 'type', 'Politician')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Congressman': {'label': 'congressman', 'comment': '-'}, 'District': {'label': 'district', 'comment': '-'}, 'GovernmentalAdministrativeRegion': {'label': 'governmental administrative region', 'comment': 'An administrative body governing some territorial unity, in this case a governmental administrative body'}, 'AmericanLeader': {'label': 'American Leader', 'comment': '-'}, 'Chancellor': {'label': 'chancellor', 'comment': '-'}} Available Properties: {'announcedFrom': {'label': 'number of platform levels', 'description': 'Number of levels of platforms at the station. DataTypeProperty'}, 'capitalDistrict': {'label': 'UniProt', 'description': 'No description available DataTypeProperty'}, 'chairmanTitle': {'label': 'chairman title', 'description': 'No description available DataTypeProperty'}, 'city': {'label': 'illiteracy', 'description': 'No description available DataTypeProperty'}, 'congressionalDistrict': {'label': 'reporting mark', 'description': 'A reporting mark is a two-, three-, or four-letter alphabetic code used to identify owners or lessees of rolling stock and other equipment used on the North American railroad network. DataTypeProperty'}, 'deFactoLanguage': {'label': 'certification', 'description': 'No description available DataTypeProperty'}, 'delegateMayor': {'label': 'ISO 639-2 code', 'description': '3-letter identifier for language, macro-language or language family, defined in ISO 639-2 standard DataTypeProperty'}, 'governmentPlace': {'label': 'melting point (K)', 'description': 'No description available DataTypeProperty'}, 'hraState': {'label': 'hra state', 'description': 'No description available DataTypeProperty'}, 'isPartOf': {'label': 'orbital inclination', 'description': 'orbital inclination of a stable orbit DataTypeProperty'}, 'language': {'label': 'legend thumbnail localization', 'description': 'No description available DataTypeProperty'}, 'leader': {'label': 'number of all MuscialArtist playing the style', 'description': 'No description available DataTypeProperty'}, 'leaderName': {'label': 'original title', 'description': 'The original title of the work, most of the time in the original language as well DataTypeProperty'}, 'leaderParty': {'label': 'election majority', 'description': 'number of votes the office holder attained DataTypeProperty'}, 'leaderTitle': {'label': 'leader title', 'description': 'No description available DataTypeProperty'}, 'location': {'label': 'currency code', 'description': 'ISO 4217 currency designators. DataTypeProperty'}, 'locationCity': {'label': 'date of latest election', 'description': 'No description available DataTypeProperty'}, 'mayorCouncillor': {'label': 'mayor councillor', 'description': 'No description available DataTypeProperty'}, 'office': {'label': '(political) office', 'description': 'No description available DataTypeProperty'}, 'originalLanguage': {'label': 'lchf draft year', 'description': 'No description available DataTypeProperty'}, 'part': {'label': 'numberOfDisambiguates', 'description': 'number of disambiguation pages in DBpedia DataTypeProperty'}, 'politicalSeats': {'label': 'political seats', 'description': 'No description available DataTypeProperty'}, 'stateDelegate': {'label': 'code Stock Exchange', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Spanish_language', 'languageFamily', 'Italic_languages'], ['Spanish_language', 'languageFamily', 'Romance_languages'], ['Spanish_language', 'languageFamily', 'Latino-Faliscan_languages'], ['Spanish_language', 'languageFamily', 'Western_Romance_languages'], ['United_States_Capitol', 'location', 'Capitol_Hill'], ['Angel_Stadium', 'location', 'Anaheim,_California'], ['United_States', 'largestCity', 'New_York_City'], ['California', 'largestCity', 'Los_Angeles'], ['Los_Angeles', 'country', 'United_States'], ['Spanish_language', 'languageRegulator', 'Association_of_Spanish_Language_Academies'], ['United_States_Capitol', 'location', 'Washington,_D.C.'], ['United_States_Capitol', 'country', 'United_States'], ['Angel_Stadium', 'location', 'United_States'], ['New_York_City', 'country', 'United_States']]Text: Located in the United States Capitol, the United States House of Representatives leads Anaheim, California. Tom Tait is a leader in Anaheim, California, where the Spanish language is spoken. bot:[('Anaheim,_California', 'isPartOf', 'California'), ('California', 'language', 'Spanish_language'), ('Anaheim,_California', 'leader', 'Tom_Tait'), ('Anaheim,_California', 'leaderTitle', 'United_States_House_of_Representatives'), ('United_States_House_of_Representatives', 'location', 'United_States_Capitol'), ('A', 'n', 'g'), ('California', 'type', 'Region')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'MusicalArtist': {'label': 'musical artist', 'comment': '-'}, 'Guitarist': {'label': 'guitarist', 'comment': '-'}, 'Musical': {'label': 'musical', 'comment': '-'}, 'MusicalWork': {'label': 'musical work', 'comment': '-'}, 'Guitar': {'label': 'guitar', 'comment': 'Describes the guitar'}} Available Properties: {'administrativeCenter': {'label': 'musicFormat', 'description': 'The format of the album: EP, Single etc. DataTypeProperty'}, 'associatedMusicalArtist': {'label': 'iafd id', 'description': 'No description available DataTypeProperty'}, 'chorusCharacterInPlay': {'label': 'chorus character in play', 'description': 'The name of the (Greek) chorus character in play. DataTypeProperty'}, 'genre': {'label': 'locality of a switzerland settlement', 'description': 'No description available DataTypeProperty'}, 'instrument': {'label': 'molar mass', 'description': 'No description available DataTypeProperty'}, 'literaryGenre': {'label': 'lunar surface time (s)', 'description': 'No description available DataTypeProperty'}, 'musicBrainzArtistId': {'label': 'MusicBrainz artist id', 'description': 'MusicBrainz artist. Applies to artists DataTypeProperty'}, 'musicFusionGenre': {'label': 'free danse score', 'description': 'No description available DataTypeProperty'}, 'musicalArtist': {'label': 'weight (kg)', 'description': 'No description available DataTypeProperty'}, 'musicalBand': {'label': 'apoapsis (km)', 'description': 'No description available DataTypeProperty'}, 'musicalKey': {'label': 'musical key', 'description': 'No description available DataTypeProperty'}, 'musicians': {'label': 'density (μ3)', 'description': 'No description available DataTypeProperty'}, 'residence': {'label': 'libretto', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Aaron', 'veneratedIn', 'Islam'], ['Aaron', 'veneratedIn', 'Baháʼí_Faith'], ['Aaron', 'veneratedIn', 'Christianity'], ['Islam', 'soundRecording', 'Islam__Sound__1'], ['Aaron', 'veneratedIn', 'Judaism'], ['Aaron', 'veneratedIn', 'Samaritanism']]Text: Aaron Deer plays the guitar and performs Psychedelia music. bot:[('Aaron_Deer', 'genre', 'Psychedelia'), ('Aaron_Deer', 'instrument', 'Guitar')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'SoccerClubSeason': {'label': 'soccer club season', 'comment': '-'}, 'NationalSoccerClub': {'label': 'national soccer club', 'comment': '-'}, 'FootballLeagueSeason': {'label': 'football league season', 'comment': '-'}, 'SoccerClub': {'label': 'soccer club', 'comment': '-'}, 'AmericanFootballTeam': {'label': 'american football Team', 'comment': '-'}} Available Properties: {'amateurTeam': {'label': 'load limit (g)', 'description': 'Load limit of the bridge. DataTypeProperty'}, 'appearancesInLeague': {'label': 'appearances in league', 'description': 'No description available DataTypeProperty'}, 'appearancesInNationalTeam': {'label': 'appearances in national team', 'description': 'No description available DataTypeProperty'}, 'bandMember': {'label': 'ensemble', 'description': 'No description available DataTypeProperty'}, 'currentMember': {'label': 'heisman', 'description': 'No description available DataTypeProperty'}, 'currentTeamMember': {'label': 'pictures Commons category', 'description': 'Wikimedia CommonsCategory for pictures of this resource DataTypeProperty'}, 'formerTeam': {'label': 'mill dissapeared code NL', 'description': 'No description available DataTypeProperty'}, 'nationalTeam': {'label': 'peopleName', 'description': 'Name for the people inhabiting a place, eg Ankara->Ankariotes, Bulgaria->Bulgarians DataTypeProperty'}, 'nflTeam': {'label': 'periapsis (km)', 'description': 'No description available DataTypeProperty'}, 'numberOfMembers': {'label': 'number of members', 'description': 'No description available DataTypeProperty'}, 'numberOfPlayers': {'label': 'number of players', 'description': 'No description available DataTypeProperty'}, 'numberOfSoccerPlayersInTeam': {'label': 'number of SoccerPlayers in entity of SoccerClub', 'description': 'No description available DataTypeProperty'}, 'organisationMember': {'label': 'area (m2)', 'description': 'The area of the thing in square meters. DataTypeProperty'}, 'season': {'label': 'olympic games gold', 'description': 'No description available DataTypeProperty'}, 'soccerLeagueSeason': {'label': 'amgId', 'description': 'No description available DataTypeProperty'}, 'soccerTournamentThisSeason': {'label': 'architectural movement', 'description': 'No description available DataTypeProperty'}} Subgraph:nanText: AFC Ajax (amateurs), who have 5000 members, played in the Topklasse in the 2014-2015 season. bot:[('AFC_Ajax_(amateurs)', 'numberOfMembers', '5000'), ('AFC_Ajax_(amateurs)', 'season', '2014–15_Topklasse'), ('AFC_Ajax_(amateurs)', 'type', 'SoccerClub')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Medician': {'label': 'medician', 'comment': '-'}, 'Crustacean': {'label': 'crustacean', 'comment': '-'}, 'Restaurant': {'label': 'restaurant', 'comment': '-'}, 'Chef': {'label': 'chef', 'comment': 'a person who cooks professionally for other people'}, 'Cheese': {'label': 'cheese', 'comment': 'A milk product prepared for human consumption'}} Available Properties: {'chef': {'label': 'event description', 'description': 'This is to describe the event that hapened here (in case there is no event resource to be linked to) DataTypeProperty'}, 'collectionSize': {'label': 'diseasesDb', 'description': 'No description available DataTypeProperty'}, 'country': {'label': 'eye colour', 'description': 'No description available DataTypeProperty'}, 'cultivatedVariety': {'label': 'PfizerCumulativeDoses', 'description': '辉瑞是源自美国的跨国制药、生物技术公司,营运总部位于纽约,研发总部位于康涅狄格州的格罗顿市 DataTypeProperty'}, 'governmentCountry': {'label': 'boiling point (K)', 'description': 'No description available DataTypeProperty'}, 'highestMountain': {'label': 'region', 'description': 'The regin where the thing is located or is connected to. ObjectTypeProperty'}, 'ingredient': {'label': 'lunar orbit time (s)', 'description': 'No description available DataTypeProperty'}, 'ingredientName': {'label': 'ingredient name (literal)', 'description': 'Main ingredient used to prepare a specific Food or Beverage. For strings use ingredientName, for objects use ingredient. DataTypeProperty'}, 'iupacName': {'label': 'IUPAC name', 'description': 'No description available DataTypeProperty'}, 'medication': {'label': 'victims (string)', 'description': 'Type, description, or name(s) of victims of a ConcentrationCamp, Criminal, SerialKiller, or some other atrocity DataTypeProperty'}, 'notableIdea': {'label': 'mute character in play', 'description': 'Name of a mute character in play. DataTypeProperty'}, 'notableWine': {'label': 'extinction date', 'description': '!!! Do NOT use this property for non Species related dates!!! - Date when an Organization (eg PoliticalParty, Company) or Species ceased to exist DataTypeProperty'}, 'originalNotLatinTitle': {'label': 'titre original non latin', 'description': 'The original non latin title of the work DataTypeProperty'}, 'product': {'label': 'old name', 'description': 'No description available DataTypeProperty'}, 'regionServed': {'label': 'number of bombs', 'description': 'No description available DataTypeProperty'}, 'relatedPlaces': {'label': 'cuisine', 'description': 'National cuisine of a Food or Restaurant DataTypeProperty'}, 'servingTemperature': {'label': 'serving temperature', 'description': 'Serving temperature for the food (e.g.: hot, cold, warm or room temperature). DataTypeProperty'}, 'sourceRegion': {'label': 'code on List of Honour', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Rome', 'founder', 'Rex_(king)'], ['Italy', 'language', 'Languages_of_Italy']]Text: Arrabbiata sauce from Rome in Italy contains chili pepper. bot:[('Arrabbiata_sauce', 'country', 'Italy'), ('Arrabbiata_sauce', 'ingredient', 'Chili_pepper'), ('Arrabbiata_sauce', 'region', 'Rome')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'GraveMonument': {'label': 'grave stone or grave monument', 'comment': 'A monument erected on a tomb, or a memorial stone.'}, 'Monument': {'label': 'monument', 'comment': 'A type of structure (a statue or an art object) created to commemorate a person or important event, not necessarily of a catastrophic nature.'}, 'Fungus': {'label': 'پھُپھُوندی', 'comment': '-'}, 'CricketTeam': {'label': 'cricket team', 'comment': '-'}, 'Venue': {'label': 'venue', 'comment': '-'}} Available Properties: {'activity': {'label': 'locationName', 'description': 'Location of the thing as string. Use "location" if the location is a resource DataTypeProperty'}, 'capital': {'label': 'function end year', 'description': 'No description available DataTypeProperty'}, 'capitalCountry': {'label': 'speed limit (kmh)', 'description': 'No description available DataTypeProperty'}, 'capitalPlace': {'label': 'election date', 'description': 'No description available DataTypeProperty'}, 'capitalPosition': {'label': 'MeSH ID', 'description': 'No description available DataTypeProperty'}, 'city': {'label': 'illiteracy', 'description': 'No description available DataTypeProperty'}, 'codeMunicipalMonument': {'label': 'monument code (municipal)', 'description': 'Code assigned to (Dutch) monuments at the municipal level, deemed to be of local value DataTypeProperty'}, 'codeNationalMonument': {'label': 'monument code (national)', 'description': 'Code assigned to (Dutch) monuments at the national level, deemed to be of national value DataTypeProperty'}, 'collectionSize': {'label': 'diseasesDb', 'description': 'No description available DataTypeProperty'}, 'country': {'label': 'eye colour', 'description': 'No description available DataTypeProperty'}, 'currency': {'label': 'SATCAT', 'description': 'satellite catalogue number, omit leading zeroes (e.g. 25544) DataTypeProperty'}, 'denomination': {'label': 'area (km2)', 'description': 'The area of the thing in square meters. DataTypeProperty'}, 'governmentCountry': {'label': 'boiling point (K)', 'description': 'No description available DataTypeProperty'}, 'governmentPlace': {'label': 'melting point (K)', 'description': 'No description available DataTypeProperty'}, 'inCemetery': {'label': 'weight (kg)', 'description': 'No description available DataTypeProperty'}, 'leader': {'label': 'number of all MuscialArtist playing the style', 'description': 'No description available DataTypeProperty'}, 'leaderName': {'label': 'original title', 'description': 'The original title of the work, most of the time in the original language as well DataTypeProperty'}, 'leaderParty': {'label': 'election majority', 'description': 'number of votes the office holder attained DataTypeProperty'}, 'location': {'label': 'currency code', 'description': 'ISO 4217 currency designators. DataTypeProperty'}, 'locationCity': {'label': 'date of latest election', 'description': 'No description available DataTypeProperty'}, 'noteOnPlaceOfBurial': {'label': 'note on place of burial', 'description': 'No description available DataTypeProperty'}, 'placeOfBurial': {'label': 'depth (μ)', 'description': 'Is a measure of the distance between a reference height and a point underneath. The exact meaning for a place is unclear. If possible, use or to be unambiguous. DataTypeProperty'}, 'supply': {'label': 'black ski piste number', 'description': 'No description available DataTypeProperty'}, 'winsAtMajors': {'label': 'inscription', 'description': 'Text of an inscription on the object DataTypeProperty'}} Subgraph:[['115_Fifth_Lane', 'location', 'Colombo'], ['Sri_Lanka', 'largestCity', 'Colombo'], ['Sri_Lankan_rupee', 'usingCountry', 'Sri_Lanka'], ['Sri_Jayawardenepura_Kotte', 'country', 'Sri_Lanka'], ['Adisham_Hall', 'location', 'Sri_Lanka'], ['Uva_Province', 'country', 'Sri_Lanka'], ['Colombo', 'country', 'Sri_Lanka'], ['Adisham_Hall', 'location', 'Haputale'], ['Ranil_Wickremesinghe', 'birthPlace', 'Dominion_of_Ceylon'], ['Ranil_Wickremesinghe', 'birthPlace', 'Colombo'], ['Haputale', 'country', 'Uva_Province'], ['Ranil_Wickremesinghe', 'residence', '115_Fifth_Lane']]Text: Adisham Hall is located in Haputale, Sri Lanka, where the capital is called Sri Jayawardenepura Kotte. Ranil Wickremesinghe is a leader of Sri Lanka, and the currency is the Sri Lankan rupee. bot:[('Sri_Lanka', 'capital', 'Sri_Jayawardenepura_Kotte'), ('Adisham_Hall', 'country', 'Sri_Lanka'), ('Sri_Lanka', 'currency', 'Sri_Lankan_rupee'), ('Sri_Lanka', 'leader', 'Ranil_Wickremesinghe'), ('Adisham_Hall', 'location', 'Haputale')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'SoccerManager': {'label': 'soccer manager', 'comment': '-'}, 'SoccerClub': {'label': 'soccer club', 'comment': '-'}, 'CanadianFootballLeague': {'label': 'liga de fútbol canadiense', 'comment': 'A group of sports teams that compete against each other in canadian football league.'}, 'NationalSoccerClub': {'label': 'national soccer club', 'comment': '-'}, 'SoccerClubSeason': {'label': 'soccer club season', 'comment': '-'}} Available Properties: {'club': {'label': 'number of live albums', 'description': 'the number of live albums released by the musical artist DataTypeProperty'}, 'currentTeamManager': {'label': 'year of first ascent', 'description': 'No description available DataTypeProperty'}, 'currentTeamMember': {'label': 'pictures Commons category', 'description': 'Wikimedia CommonsCategory for pictures of this resource DataTypeProperty'}, 'doctoralAdvisor': {'label': 'galicianSpeakersDate', 'description': 'The last inquiry date about linguistics uses. DataTypeProperty'}, 'doctoralStudent': {'label': 'galicianSpeakersPercentage', 'description': 'Percentage of Galician speakers. DataTypeProperty'}, 'fc': {'label': 'FC', 'description': 'No description available DataTypeProperty'}, 'filmPolskiId': {'label': 'FilmPolski.pl id', 'description': 'No description available DataTypeProperty'}, 'frazioni': {'label': 'average speed (km/s)', 'description': 'The average speed of a thing. DataTypeProperty'}, 'generalManager': {'label': 'fuel capacity (μ³)', 'description': 'No description available DataTypeProperty'}, 'manager': {'label': 'type of municipality', 'description': 'No description available DataTypeProperty'}, 'managerClub': {'label': 'Gray subject', 'description': "Refers to the famous 1918 edition of Gray's Anatomy. DataTypeProperty"}, 'teamManager': {'label': 'blue ski piste number', 'description': 'No description available DataTypeProperty'}, 'winsAtLET': {'label': 'blazon', 'description': 'Coat of arms (heraldic image) or emblem DataTypeProperty'}, 'youthClub': {'label': 'flag caption', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Carlo_Ancelotti', 'team', 'A.S._Roma'], ['Carlo_Ancelotti', 'managerClub', 'AC_Milan'], ['Russia_national_football_team', 'coach', 'Valeri_Karpin'], ['Carlo_Ancelotti', 'team', 'Parma_Calcio_1913'], ['U.S._Livorno_1915', 'manager', 'Vincenzo_Esposito_(footballer)'], ['Carlo_Ancelotti', 'team', 'Italy_national_football_team'], ['Christian_Panucci', 'managerClub', 'Albania_national_football_team'], ['Carlo_Ancelotti', 'team', 'S.S.D._Parma_Calcio_1913'], ['Carlo_Ancelotti', 'managerClub', 'Chelsea_F.C.'], ['Carlo_Ancelotti', 'managerClub', 'Real_Madrid_CF'], ['Ternana_Calcio', 'manager', 'Ferruccio_Mariani'], ['Carlo_Ancelotti', 'managerClub', 'FC_Bayern_Munich'], ['U.S._Livorno_1915', 'league', 'Serie_D'], ['Carlo_Ancelotti', 'managerClub', 'Italy_national_football_team'], ['Christian_Panucci', 'managerClub', 'A.S._Livorno_Calcio'], ['Carlo_Ancelotti', 'managerClub', 'A.C._Reggiana_1919'], ['Christian_Panucci', 'managerClub', 'Russia_national_football_team'], ['Carlo_Ancelotti', 'managerClub', 'Paris_Saint-Germain_F.C.'], ['Real_Madrid_CF', 'manager', 'Carlo_Ancelotti'], ['Carlo_Ancelotti', 'team', 'A.C._Milan'], ['Albania_national_football_team', 'coach', 'Vacant'], ['Carlo_Ancelotti', 'managerClub', 'S.S.D._Parma_Calcio_1913'], ['Christian_Panucci', 'managerClub', 'Ternana_Calcio'], ['Carlo_Ancelotti', 'team', 'Reggiolo'], ['Carlo_Ancelotti', 'team', 'Real_Madrid_CF'], ['Carlo_Ancelotti', 'managerClub', 'Juventus_F.C.']]Text: A.S. Livorno Calcio is managed by Christian Panucci. is was attached to the Real Madrid CF club. He is currently attached to the club Genoa CFC. bot:[('Christian_Panucci', 'club', 'Real_Madrid_CF'), ('Christian_Panucci', 'club', 'Genoa_C.F.C.'), ('U.S._Livorno_1915', 'manager', 'Christian_Panucci'), ('Christian_Panucci', 'type', 'Animal'), ('U.S._Livorno_1915', 'type', 'Hyphen-minus')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Airport': {'label': 'airport', 'comment': '-'}, 'Airline': {'label': 'airline', 'comment': '-'}, 'PublicTransitSystem': {'label': 'public transit system', 'comment': "A public transit system is a shared passenger transportation service which is available for use by the general public. Public transport modes include buses, trolleybuses, trams and trains, 'rapid transit' (metro/subways/undergrounds etc) and ferries. Intercity public transport is dominated by airlines, coaches, and intercity rail. (http://en.wikipedia.org/wiki/Public_transit)."}, 'Altitude': {'label': 'altitude', 'comment': '-'}, 'LunarCrater': {'label': 'lunar crater', 'comment': '-'}} Available Properties: {'administrativeHeadCity': {'label': 'ICAO code', 'description': 'ICAO designation for airline companies DataTypeProperty'}, 'airportUsing': {'label': 'Different usage of an airport', 'description': 'No description available DataTypeProperty'}, 'altitude': {'label': 'legislative period name', 'description': 'The term of the on-going session (e.g.: "40th Canadian Parliament"). DataTypeProperty'}, 'amsterdamCode': {'label': 'Amsterdam Code', 'description': 'No description available DataTypeProperty'}, 'city': {'label': 'illiteracy', 'description': 'No description available DataTypeProperty'}, 'designer': {'label': 'information name', 'description': 'No description available DataTypeProperty'}, 'elevation': {'label': 'elevation (μ)', 'description': 'average elevation above the sea level DataTypeProperty'}, 'highestAltitude': {'label': 'height (mm)', 'description': 'No description available DataTypeProperty'}, 'hubAirport': {'label': 'free', 'description': 'No description available DataTypeProperty'}, 'lastFlight': {'label': 'apoapsis (km)', 'description': 'No description available DataTypeProperty'}, 'locationCity': {'label': 'date of latest election', 'description': 'No description available DataTypeProperty'}, 'lowestAltitude': {'label': 'area metro (km2)', 'description': 'No description available DataTypeProperty'}, 'movement': {'label': 'reservations', 'description': 'Are reservations required for the establishment or event? DataTypeProperty'}, 'resolution': {'label': 'number of vineyards', 'description': 'No description available DataTypeProperty'}, 'runwayDesignation': {'label': 'designation of runway', 'description': 'No description available DataTypeProperty'}, 'runwayLength': {'label': 'length of runway (μ)', 'description': 'No description available DataTypeProperty'}, 'runwaySurface': {'label': 'surface of runway', 'description': 'No description available DataTypeProperty'}, 'runwayWidth': {'label': 'width of runway (μ)', 'description': 'No description available DataTypeProperty'}, 'significantDesign': {'label': 'Astrazenca', 'description': 'AstraZeneca plc is a British-Swedish multinational pharmaceutical and biotechnology company with its headquarters at the Cambridge Biomedical Campus in Cambridge, England. DataTypeProperty'}, 'targetAirport': {'label': 'mill code BE', 'description': 'mills code from the Belgian database on mills DataTypeProperty'}} Subgraph:[['Amsterdam_Airport_Schiphol', 'location', 'Netherlands'], ['Amsterdam_Airport_Schiphol', 'location', 'Haarlemmermeer']]Text: Serving the city of Amsterdam, Amsterdam airport Schiphol is -3.3528 above sea level. Amsterdam Airport Schiphol's runway length is 2014.0 and it has the runway name, 06/24 Kaagbaan. bot:[('Amsterdam_Airport_Schiphol', 'city', 'Amsterdam'), ('Amsterdam_Airport_Schiphol', 'elevation', '-3.3528'), ('Amsterdam_Airport_Schiphol', 'runwayDesignation', "06/24_'Kaagbaan'"), ('Amsterdam_Airport_Schiphol', 'runwayLength', '2014.0')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Monarch': {'label': 'monarch', 'comment': '-'}, 'AmericanLeader': {'label': 'American Leader', 'comment': '-'}, 'Mayor': {'label': 'mayor', 'comment': '-'}, 'Governor': {'label': 'governor', 'comment': '-'}, 'HistoricalCountry': {'label': 'Historical country', 'comment': 'ایک ایسی جگہ جو ایک ملک ہوا کرتی تھی۔'}} Available Properties: {'birthName': {'label': 'birth name', 'description': 'full name of a person at birth, if different from their current, generally used name DataTypeProperty'}, 'birthPlace': {'label': 'Bioavailability', 'description': '"The rate and extent to which the active ingredient or active moiety is absorbed from a drug product and becomes available at the site of action. For drug products that are not intended to be absorbed into the bloodstream, bioavailability may be assessed by measurements intended to reflect the rate and extent to which the active ingredient or active moiety becomes available at the site of action (21CFR320.1)." DataTypeProperty'}, 'doctoralAdvisor': {'label': 'galicianSpeakersDate', 'description': 'The last inquiry date about linguistics uses. DataTypeProperty'}, 'doctoralStudent': {'label': 'galicianSpeakersPercentage', 'description': 'Percentage of Galician speakers. DataTypeProperty'}, 'electionDateLeader': {'label': 'election date leader', 'description': 'The date that leader was elected. DataTypeProperty'}, 'firstAscentPerson': {'label': 'size (MB)', 'description': 'size of a file or software DataTypeProperty'}, 'founder': {'label': 'local phone prefix', 'description': 'No description available DataTypeProperty'}, 'governorGeneral': {'label': 'start date', 'description': 'The start date of the event. DataTypeProperty'}, 'historicalName': {'label': 'historical name', 'description': 'No description available DataTypeProperty'}, 'incumbent': {'label': 'hof', 'description': 'No description available DataTypeProperty'}, 'kingdom': {'label': 'lunar sample mass (g)', 'description': 'No description available DataTypeProperty'}, 'leaderName': {'label': 'original title', 'description': 'The original title of the work, most of the time in the original language as well DataTypeProperty'}, 'location': {'label': 'currency code', 'description': 'ISO 4217 currency designators. DataTypeProperty'}, 'locationCity': {'label': 'date of latest election', 'description': 'No description available DataTypeProperty'}, 'monarch': {'label': 'demolition date', 'description': 'The date the building was demolished. DataTypeProperty'}, 'predecessor': {'label': 'original maximum boat beam (μ)', 'description': 'No description available DataTypeProperty'}, 'royalAnthem': {'label': 'egafd id', 'description': 'No description available DataTypeProperty'}, 'successor': {'label': 'other name', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Kingdom_of_Galicia', 'religion', 'Roman_Catholicism'], ['Kingdom_of_Galicia', 'legislature', 'Junta_of_the_Kingdom_of_Galicia'], ['Spain', 'largestCity', 'Madrid'], ['Madrid', 'country', 'Spain'], ['Francisco_Franco', 'birthPlace', 'Galicia_(Spain)'], ['Juan_Carlos_I', 'child', 'Infanta_Cristina'], ['Francisco_Franco', 'birthPlace', 'Ferrol,_Spain'], ['Juan_Carlos_I', 'spouse', 'Princess_Sophia_of_Greece_and_Denmark'], ['Francisco_Franco', 'birthPlace', 'Restoration_(Spain)'], ['Juan_Carlos_I', 'child', 'Felipe_VI'], ['Juan_Carlos_I', 'child', 'Infanta_Elena,_Duchess_of_Lugo'], ['Spain', 'legislature', 'Cortes_Generales']]Text: Abel Caballero, born in Galicia, Spain, was in office during the reign of King Juan Carlos I of Spain. The King was preceded as leader by Francisco Franco. bot:[('Abel_Caballero', 'birthPlace', 'Galicia_(Spain)'), ('Abel_Caballero', 'monarch', 'Juan_Carlos_I'), ('Juan_Carlos_I', 'predecessor', 'Francisco_Franco'), ('Juan_Carlos_I', 'type', 'Hyphen-minus'), ('Abel_Caballero', 'type', 'Politician')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'MilitaryAircraft': {'label': 'military aircraft', 'comment': '-'}, 'MilitaryUnit': {'label': 'military unit', 'comment': '-'}, 'MilitaryStructure': {'label': 'military structure', 'comment': 'A military structure such as a Castle, Fortress, Wall, etc.'}, 'Aircraft': {'label': 'aircraft', 'comment': '-'}, 'MilitaryService': {'label': 'military service', 'comment': '-'}} Available Properties: {'afdbId': {'label': 'afdb id', 'description': 'No description available DataTypeProperty'}, 'aircraftAttack': {'label': 'geolocdual', 'description': 'No description available DataTypeProperty'}, 'aircraftBomber': {'label': 'geologic period', 'description': 'No description available DataTypeProperty'}, 'aircraftFighter': {'label': 'gini coefficient as of', 'description': 'No description available DataTypeProperty'}, 'aircraftInterceptor': {'label': 'EKATTE code', 'description': 'Indexing code used by the Bulgarian National Statistical Institute to identify populated places DataTypeProperty'}, 'aircraftPatrol': {'label': 'gold medal mixed', 'description': 'No description available DataTypeProperty'}, 'aircraftType': {'label': 'aircraft type', 'description': 'No description available DataTypeProperty'}, 'aircraftUser': {'label': 'LCC', 'description': 'The Library of Congress Classification (LCC) is a system of library classification developed by the Library of Congress. DataTypeProperty'}, 'battle': {'label': 'ICD1', 'description': 'No description available DataTypeProperty'}, 'enemy': {'label': 'quote', 'description': 'No description available DataTypeProperty'}, 'gun': {'label': 'aircraft gun', 'description': 'No description available DataTypeProperty'}, 'militaryBranch': {'label': 'law country', 'description': 'No description available DataTypeProperty'}, 'militaryCommand': {'label': 'military command', 'description': 'For persons who are notable as commanding officers, the units they commanded. Dates should be given if multiple notable commands were held. DataTypeProperty'}, 'militaryFunction': {'label': 'military function', 'description': 'No description available DataTypeProperty'}, 'militaryUnit': {'label': 'Active Cases', 'description': 'وبائی مرض میں فعال کیسوں کی تعداد DataTypeProperty'}, 'officerInCharge': {'label': 'assets ($)', 'description': 'Assets and liabilities are part of a companis balance sheet. In financial accounting, assets are economic resources. Anything tangible or intangible that is capable of being owned or controlled to produce value and that is held to have positive economic value is considered an asset. DataTypeProperty'}, 'operator': {'label': 'maximum inclination', 'description': 'No description available DataTypeProperty'}, 'opponent': {'label': 'bicycle information', 'description': "Information on station's bicycle facilities. DataTypeProperty"}, 'parentheses': {'label': 'dec', 'description': 'No description available DataTypeProperty'}} Subgraph:[['United_States_Air_Force', 'garrison', 'Arlington_County,_Virginia'], ['United_States_Air_Force', 'garrison', 'The_Pentagon'], ['Lockheed_AC-130', 'manufacturer', 'Lockheed_Martin'], ['Operation_Enduring_Freedom', 'place', 'Kyrgyzstan'], ['Al_Asad_Airbase', 'location', 'Al_Anbar_Governorate'], ['Lockheed_AC-130', 'manufacturer', 'Lockheed_Corporation'], ['Operation_Enduring_Freedom', 'isPartOfMilitaryConflict', 'War_on_terror'], ['Operation_Enduring_Freedom', 'place', 'Georgia_(country)'], ['The_Pentagon', 'location', 'Virginia_State_Route_110'], ['Al_Anbar_Governorate', 'country', 'Iraq'], ['Operation_Enduring_Freedom', 'isPartOfMilitaryConflict', 'War_in_Afghanistan_(2001–2021)'], ['United_States_Air_Force', 'aircraftAttack', 'A-10_Thunderbolt_II'], ['United_States_Air_Force', 'aircraftAttack', 'General_Atomics_MQ-9_Reaper'], ['Lockheed_Corporation', 'foundedBy', 'Allan_Lockheed'], ['The_Pentagon', 'location', 'Arlington_County,_Virginia'], ['Lockheed_Corporation', 'locationCity', 'Calabasas,_California'], ['Operation_Enduring_Freedom', 'place', 'Somalia'], ['United_States_Air_Force', 'aircraftAttack', 'Lockheed_AC-130'], ['Operation_Enduring_Freedom', 'place', 'Islamic_Republic_of_Afghanistan'], ['Operation_Enduring_Freedom', 'place', 'Sahara_Desert'], ['Operation_Enduring_Freedom', 'place', 'Philippines'], ['United_States_Air_Force', 'garrison', 'United_States']]Text: Al Asad airbase is operated by the United States Air Force who participated in the battles during Operation Enduring Freedom. They deploy the Lockheed AC-130 on their aircraft carriers and also make use of the aircraft fighter General Dynamics F-16 Fighting Falcon. bot:[('United_States_Air_Force', 'aircraftAttack', 'Lockheed_AC-130'), ('United_States_Air_Force', 'aircraftFighter', 'General_Dynamics_F-16_Fighting_Falcon'), ('United_States_Air_Force', 'battle', 'Operation_Enduring_Freedom'), ('Al_Asad_Airbase', 'operator', 'United_States_Air_Force'), ('United_States_Air_Force', 'type', 'Agent'), ('Al_Asad_Airbase', 'type', 'ArchitecturalStructure')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'ClubMoss': {'label': 'club moss', 'comment': '-'}, 'GridironFootballPlayer': {'label': 'gridiron football player', 'comment': 'Gradiron football, also called North American football, is a family of soccer team games played primarily in the United States and Canada.'}, 'WinterSportPlayer': {'label': 'winter sport Player', 'comment': '-'}, 'GolfPlayer': {'label': 'golf player', 'comment': '-'}, 'RugbyClub': {'label': 'rugby club', 'comment': '-'}} Available Properties: {'appearancesInLeague': {'label': 'appearances in league', 'description': 'No description available DataTypeProperty'}, 'appearancesInNationalTeam': {'label': 'appearances in national team', 'description': 'No description available DataTypeProperty'}, 'battingSide': {'label': 'batting side', 'description': 'No description available DataTypeProperty'}, 'board': {'label': 'serving size (g)', 'description': 'Default serving size (eg "100 g" for the standard 100 g serving size). approximateCalories apply to this serving size DataTypeProperty'}, 'club': {'label': 'number of live albums', 'description': 'the number of live albums released by the musical artist DataTypeProperty'}, 'clubsRecordGoalscorer': {'label': 'memorial ID number', 'description': 'Identifier for monuments of the Memorial type DataTypeProperty'}, 'formerCoach': {'label': 'number of trails', 'description': 'Number of trails in ski area. DataTypeProperty'}, 'formerTeam': {'label': 'mill dissapeared code NL', 'description': 'No description available DataTypeProperty'}, 'managerClub': {'label': 'Gray subject', 'description': "Refers to the famous 1918 edition of Gray's Anatomy. DataTypeProperty"}, 'numberOfClubs': {'label': 'number of clubs', 'description': 'number of clubs active in a given sport for a region DataTypeProperty'}, 'numberOfPlayers': {'label': 'number of players', 'description': 'No description available DataTypeProperty'}, 'oldTeamCoached': {'label': 'area urban (km2)', 'description': 'No description available DataTypeProperty'}, 'playerInTeam': {'label': 'capacity', 'description': 'Number of people who can be served by a Train or other service; or participate in a SoccerClub, CricketTeam, etc DataTypeProperty'}, 'youthClub': {'label': 'flag caption', 'description': 'No description available DataTypeProperty'}, 'youthWing': {'label': 'BIBSYS Id', 'description': 'BIBSYS is a supplier of library and information systems for all Norwegian university Libraries, the National Library of Norway, college libraries, and a number of research libraries and institutions. DataTypeProperty'}} Subgraph:[['Niko_Kovač', 'team', 'SV_Nord_Wedding_1893'], ['Ole_Werner', 'team', 'Holstein_Kiel'], ['Aaron', 'veneratedIn', 'Samaritanism'], ['Aaron', 'veneratedIn', 'Islam'], ['Niko_Kovač', 'team', 'FC_Bayern_Munich'], ['Niko_Kovač', 'team', 'Croatia_national_football_team'], ['Goslarer_SC_08', 'manager', 'Sven_Thoss'], ['VfL_Wolfsburg', 'manager', 'Niko_Kovač'], ['Ole_Werner', 'team', 'TSV_Kropp'], ['Niko_Kovač', 'team', 'Hamburger_SV'], ['Niko_Kovač', 'team', 'Hertha_BSC'], ['SV_Werder_Bremen', 'manager', 'Ole_Werner'], ['Niko_Kovač', 'team', 'FC_Red_Bull_Salzburg'], ['Ole_Werner', 'team', 'SV_Werder_Bremen'], ['Aaron', 'veneratedIn', 'Baháʼí_Faith'], ['Ole_Werner', 'team', 'Holstein_Kiel_II'], ['Aaron', 'veneratedIn', 'Christianity'], ['Goslarer_SC_08', 'position', 'Regionalliga_Nord'], ['Niko_Kovač', 'team', 'VFL_Wolfsburg'], ['Niko_Kovač', 'team', 'Hertha_BSC_II'], ['Aaron', 'veneratedIn', 'Judaism'], ['Niko_Kovač', 'team', 'Hertha_Zehlendorf'], ['Niko_Kovač', 'team', 'Bayer_04_Leverkusen']]Text: Aaron Hunt represented the club Goslarer SC 08 at youth level and has since played for both SV Werder Bremen and Vfl Wolfsburg. bot:[('Aaron_Hunt', 'club', 'SV_Werder_Bremen'), ('Aaron_Hunt', 'club', 'VfL_Wolfsburg'), ('Aaron_Hunt', 'type', 'Athlete'), ('Aaron_Hunt', 'youthClub', 'Goslarer_SC_08')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Media': {'label': 'media', 'comment': 'storage and transmission channels or tools used to store and deliver information or data'}, 'TelevisionDirector': {'label': 'Television director', 'comment': 'a person who directs the activities involved in making a television program.'}, 'Company': {'label': 'company', 'comment': '-'}, 'MusicDirector': {'label': 'music director', 'comment': 'A person who is the director of an orchestra or concert band.'}, 'Magazine': {'label': 'magazine', 'comment': 'Magazines, periodicals, glossies or serials are publications, generally published on a regular schedule, containing a variety of articles. They are generally financed by advertising, by a purchase price, by pre-paid magazine subscriptions, or all three.'}} Available Properties: {'coExecutiveProducer': {'label': 'area water (m2)', 'description': 'No description available DataTypeProperty'}, 'digitalChannel': {'label': 'digital channel', 'description': 'No description available DataTypeProperty'}, 'formerChannel': {'label': 'former channel', 'description': 'No description available DataTypeProperty'}, 'media': {'label': 'date extended', 'description': 'No description available DataTypeProperty'}, 'mediaItem': {'label': 'feast day, holiday', 'description': 'A day of celebration associated with the entity. Applies to Saint, School etc DataTypeProperty'}, 'mediaType': {'label': 'main building', 'description': 'No description available DataTypeProperty'}, 'musicType': {'label': 'main islands', 'description': 'No description available DataTypeProperty'}, 'otherChannel': {'label': 'other channel', 'description': 'No description available DataTypeProperty'}, 'otherMedia': {'label': 'mass (kg)', 'description': 'No description available DataTypeProperty'}, 'radioStation': {'label': 'radio station', 'description': 'No description available DataTypeProperty'}, 'shareOfAudience': {'label': 'share of audience', 'description': 'No description available DataTypeProperty'}, 'type': {'label': 'other wins', 'description': 'No description available DataTypeProperty'}, 'voiceType': {'label': 'EntrezGene', 'description': 'No description available DataTypeProperty'}} Subgraph:[['GMA_New_Media', 'industry', 'Mobile_Development'], ['GMA_New_Media', 'industry', 'Software_Development'], ['GMA_New_Media', 'parentCompany', 'GMA_Network_(company)'], ['GMA_New_Media', 'industry', 'R_&_D'], ['GMA_New_Media', 'industry', 'Web_Development']]Text: GMA New Media, Inc. is a media company. bot:[('GMA_New_Media', 'type', 'Mass_media'), ('GMA_New_Media', 'type', 'Company')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Language': {'label': 'language', 'comment': '-'}, 'Linguist': {'label': 'linguist', 'comment': '-'}, 'EthnicGroup': {'label': 'ethnic group', 'comment': '-'}, 'Continent': {'label': 'continent', 'comment': '-'}, 'Country': {'label': 'country', 'comment': '-'}} Available Properties: {'collectionSize': {'label': 'diseasesDb', 'description': 'No description available DataTypeProperty'}, 'country': {'label': 'eye colour', 'description': 'No description available DataTypeProperty'}, 'deFactoLanguage': {'label': 'certification', 'description': 'No description available DataTypeProperty'}, 'ethnicGroup': {'label': 'election date leader', 'description': 'The date that leader was elected. DataTypeProperty'}, 'ethnicity': {'label': 'school number', 'description': 'No description available DataTypeProperty'}, 'governmentCountry': {'label': 'boiling point (K)', 'description': 'No description available DataTypeProperty'}, 'kinOfLanguage': {'label': 'kindOfLanguage', 'description': 'No description available DataTypeProperty'}, 'language': {'label': 'legend thumbnail localization', 'description': 'No description available DataTypeProperty'}, 'languageCode': {'label': 'language code', 'description': 'No description available DataTypeProperty'}, 'linguisticsTradition': {'label': 'danse competition', 'description': 'No description available DataTypeProperty'}, 'officialLanguage': {'label': 'free flight time (s)', 'description': 'No description available DataTypeProperty'}, 'originalLanguage': {'label': 'lchf draft year', 'description': 'No description available DataTypeProperty'}, 'otherLanguage': {'label': 'other language of a settlement', 'description': 'No description available DataTypeProperty'}, 'pronunciation': {'label': 'legend thumbnail localization', 'description': 'No description available DataTypeProperty'}, 'race': {'label': 'displacement (g)', 'description': "A ship's displacement is its mass at any given time. DataTypeProperty"}, 'regionalLanguage': {'label': 'first publication date', 'description': 'Date of the first publication. DataTypeProperty'}, 'spokenIn': {'label': 'Total Pandemic Cases', 'description': 'Total number of cases in a pandemic DataTypeProperty'}, 'titleLanguage': {'label': 'title language', 'description': 'No description available DataTypeProperty'}, 'veneratedIn': {'label': 'free score competition', 'description': 'No description available DataTypeProperty'}, 'voice': {'label': 'lunar landing site', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Florida', 'largestCity', 'Jacksonville,_Florida'], ['Pennsylvania', 'largestCity', 'Philadelphia'], ['Asian_Americans', 'populationPlace', 'California'], ['English_language', 'languageFamily', 'Anglo-Frisian_languages'], ['Asian_Americans', 'populationPlace', 'Florida'], ['Asian_Americans', 'populationPlace', 'Illinois'], ['Asian_Americans', 'populationPlace', 'New_Jersey'], ['Great_Britain', 'country', 'United_Kingdom'], ['New_York_City', 'country', 'United_States'], ['New_York_(state)', 'largestCity', 'New_York_City'], ['Asian_Americans', 'populationPlace', 'Pennsylvania'], ['California', 'largestCity', 'Los_Angeles'], ['United_States', 'largestCity', 'New_York_City'], ['Asian_Americans', 'populationPlace', 'Texas'], ['New_Jersey', 'largestCity', 'Newark,_New_Jersey'], ['English_language', 'soundRecording', 'English_language__Sound__1'], ['Texas', 'largestCity', 'Houston'], ['Asian_Americans', 'populationPlace', 'Washington_(state)'], ['English_language', 'languageFamily', 'West_Germanic_languages'], ['Asian_Americans', 'language', 'Languages_of_Asia'], ['Asian_Americans', 'populationPlace', 'Virginia'], ['Great_Britain', 'location', 'Northwestern_Europe'], ['Asian_Americans', 'populationPlace', 'Hawaii'], ['English_language', 'languageFamily', 'North_Sea_Germanic'], ['Asian_Americans', 'populationPlace', 'New_York_(state)'], ['Virginia', 'largestCity', 'Virginia_Beach,_Virginia'], ['Asian_Americans', 'language', 'English_language'], ['English_language', 'languageFamily', 'Germanic_languages'], ['Washington_(state)', 'largestCity', 'Seattle'], ['Illinois', 'largestCity', 'Chicago']]Text: In Great Britain English is the language spoken. The same is true for the United States where there are many Asian Americans. It is also where A Fortress of Grey Ice is from. bot:[('A_Fortress_of_Grey_Ice', 'country', 'United_States'), ('United_States', 'ethnicGroup', 'Asian_Americans'), ('United_States', 'language', 'English_language'), ('A', 's', 'i'), ('English_language', 'spokenIn', 'Great_Britain'), ('English_language', 'type', 'Language'), ('United_States', 'type', 'Location'), ('A_Fortress_of_Grey_Ice', 'type', 'WrittenWork')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'EthnicGroup': {'label': 'ethnic group', 'comment': '-'}, 'Continent': {'label': 'continent', 'comment': '-'}, 'Country': {'label': 'country', 'comment': '-'}, 'HistoricalRegion': {'label': 'Historical region', 'comment': 'a place which used to be a region.'}, 'InternationalOrganisation': {'label': 'international organisation', 'comment': 'An international organisation is either a private or a public organisation seeking to accomplish goals across country borders'}} Available Properties: {'collectionSize': {'label': 'diseasesDb', 'description': 'No description available DataTypeProperty'}, 'colonialName': {'label': 'colonial name', 'description': 'No description available DataTypeProperty'}, 'country': {'label': 'eye colour', 'description': 'No description available DataTypeProperty'}, 'countryCode': {'label': 'country code', 'description': 'Country code for telephone numbers. DataTypeProperty'}, 'countryOrigin': {'label': 'number of licensed', 'description': 'nombre de personnes ayant une license pour pratiquer cette activité DataTypeProperty'}, 'deanery': {'label': 'price ($)', 'description': 'The price of something, eg a journal. For "total money earned by an Athlete" use gross DataTypeProperty'}, 'demonym': {'label': 'rank', 'description': 'Rank of something among other things of the same kind, eg Constellations by Area; MusicalAlbums by popularity, etc DataTypeProperty'}, 'dubber': {'label': 'rank', 'description': 'Rank of something among other things of the same kind, eg Constellations by Area; MusicalAlbums by popularity, etc DataTypeProperty'}, 'ethnicGroup': {'label': 'election date leader', 'description': 'The date that leader was elected. DataTypeProperty'}, 'ethnicGroupsInYear': {'label': 'ethnic groups in year', 'description': 'No description available DataTypeProperty'}, 'ethnicity': {'label': 'school number', 'description': 'No description available DataTypeProperty'}, 'origin': {'label': 'number of participating female athletes', 'description': 'No description available DataTypeProperty'}, 'race': {'label': 'displacement (g)', 'description': "A ship's displacement is its mass at any given time. DataTypeProperty"}, 'stateOfOrigin': {'label': 'free prog competition', 'description': 'No description available DataTypeProperty'}, 'stateOfOriginPoint': {'label': 'state of origin point', 'description': 'No description available DataTypeProperty'}, 'stateOfOriginYear': {'label': 'state of origin year', 'description': 'No description available DataTypeProperty'}, 'team': {'label': 'number of reactors', 'description': 'No description available DataTypeProperty'}} Subgraph:[['New_York_City', 'country', 'United_States'], ['ALV_X-1', 'launchSite', 'Mid-Atlantic_Regional_Spaceport'], ['African_Americans', 'religion', 'Protestant'], ['African_Americans', 'religion', 'Mainline_Protestant'], ['African_Americans', 'populationPlace', 'List_of_United_States_urban_areas'], ['ALV_X-1', 'manufacturer', 'Alliant_Techsystems'], ['United_States', 'largestCity', 'New_York_City'], ['African_Americans', 'populationPlace', 'Southern_United_States'], ['African_Americans', 'religion', 'Evangelical_Protestant']]Text: The country of origin of the ALV X-1 is the United States, home to Americans and where African Americans are an ethnic group. bot:[('ALV_X-1', 'countryOrigin', 'United_States'), ('United_States', 'demonym', 'Americans'), ('United_States', 'ethnicGroup', 'African_Americans'), ('ALV_X-1', 'type', 'Rocket'), ('United_States', 'type', 'Location')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'GridironFootballPlayer': {'label': 'gridiron football player', 'comment': 'Gradiron football, also called North American football, is a family of soccer team games played primarily in the United States and Canada.'}, 'CanadianFootballPlayer': {'label': 'canadian football Player', 'comment': '-'}, 'AmericanFootballPlayer': {'label': 'american football player', 'comment': '-'}, 'CanadianFootballTeam': {'label': 'canadian football Team', 'comment': '-'}, 'AustralianFootballLeague': {'label': 'australian football league', 'comment': 'A group of sports teams that compete against each other in australian football.'}} Available Properties: {'appearancesInNationalTeam': {'label': 'appearances in national team', 'description': 'No description available DataTypeProperty'}, 'center': {'label': 'norwegian center', 'description': 'No description available DataTypeProperty'}, 'currentLeague': {'label': 'distance to London (μ)', 'description': 'No description available DataTypeProperty'}, 'currentTeamManager': {'label': 'year of first ascent', 'description': 'No description available DataTypeProperty'}, 'currentTeamMember': {'label': 'pictures Commons category', 'description': 'Wikimedia CommonsCategory for pictures of this resource DataTypeProperty'}, 'fc': {'label': 'FC', 'description': 'No description available DataTypeProperty'}, 'fcRuns': {'label': 'FC runs', 'description': 'No description available DataTypeProperty'}, 'frazioni': {'label': 'average speed (km/s)', 'description': 'The average speed of a thing. DataTypeProperty'}, 'landskap': {'label': 'norwegian landskap', 'description': 'No description available DataTypeProperty'}, 'league': {'label': 'number of neighbourhood', 'description': 'No description available DataTypeProperty'}, 'nationalTeam': {'label': 'peopleName', 'description': 'Name for the people inhabiting a place, eg Ankara->Ankariotes, Bulgaria->Bulgarians DataTypeProperty'}, 'playerInTeam': {'label': 'capacity', 'description': 'Number of people who can be served by a Train or other service; or participate in a SoccerClub, CricketTeam, etc DataTypeProperty'}, 'soccerLeagueWinner': {'label': 'Amsterdam Code', 'description': 'No description available DataTypeProperty'}} Subgraph:[['FC_Tom_Tomsk', 'position', 'Russian_Football_National_League']]Text: FC Tom Tomsk play in the Russian Football National League. bot:[('FC_Tom_Tomsk', 'league', 'Russian_First_League'), ('FC_Tom_Tomsk', 'type', 'SoccerClub')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Mineral': {'label': 'mineral', 'comment': 'A naturally occurring solid chemical substance.'}, 'ChemicalCompound': {'label': 'chemical compound', 'comment': '-'}, 'ChemicalElement': {'label': 'chemical element', 'comment': '-'}, 'Archaea': {'label': 'archaea', 'comment': '-'}, 'ChemicalSubstance': {'label': 'chemical substance', 'comment': '-'}} Available Properties: {'___': {'label': 'flora', 'description': 'No description available DataTypeProperty'}, 'associatedRocket': {'label': 'OCLC', 'description': 'Online Computer Library Center number DataTypeProperty'}, 'bioavailability': {'label': 'Bioavailability', 'description': '"The rate and extent to which the active ingredient or active moiety is absorbed from a drug product and becomes available at the site of action. For drug products that are not intended to be absorbed into the bloodstream, bioavailability may be assessed by measurements intended to reflect the rate and extent to which the active ingredient or active moiety becomes available at the site of action (21CFR320.1)." DataTypeProperty'}, 'biome': {'label': 'numberOfResource', 'description': 'number of all resource in DBpedia (including disambiguation pages and rediretcs) DataTypeProperty'}, 'brother': {'label': 'RefSeq', 'description': 'qualifier to specify Reference Sequence identifier for the Protein and RNA (either p637 or p639) DataTypeProperty'}, 'carbohydrate': {'label': 'carbohydrate (g)', 'description': 'Amount of carbohydrates per servingSize of a Food DataTypeProperty'}, 'course': {'label': 'course (μ)', 'description': 'No description available DataTypeProperty'}, 'cultivatedVariety': {'label': 'PfizerCumulativeDoses', 'description': '辉瑞是源自美国的跨国制药、生物技术公司,营运总部位于纽约,研发总部位于康涅狄格州的格罗顿市 DataTypeProperty'}, 'friend': {'label': 'total time person has spent in space (m)', 'description': 'No description available DataTypeProperty'}, 'ingredient': {'label': 'lunar orbit time (s)', 'description': 'No description available DataTypeProperty'}, 'ingredientName': {'label': 'ingredient name (literal)', 'description': 'Main ingredient used to prepare a specific Food or Beverage. For strings use ingredientName, for objects use ingredient. DataTypeProperty'}, 'medication': {'label': 'victims (string)', 'description': 'Type, description, or name(s) of victims of a ConcentrationCamp, Criminal, SerialKiller, or some other atrocity DataTypeProperty'}, 'product': {'label': 'old name', 'description': 'No description available DataTypeProperty'}, 'rocket': {'label': 'age', 'description': 'No description available DataTypeProperty'}, 'son': {'label': 'arrest date', 'description': 'No description available DataTypeProperty'}, 'superFamily': {'label': 'bioclimate', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Dessert', 'hasVariant', 'Biscuit'], ['Pastry', 'ingredient', 'Flour'], ['Cake', 'ingredient', 'Egg_(food)'], ['Cake', 'ingredient', 'Flour'], ['Cake', 'ingredient', 'Vegetable_fats_and_oils'], ['Bionico', 'ingredient', 'Raisins'], ['Custard', 'ingredient', 'Cream'], ['Pastry', 'ingredient', 'Baking_powder'], ['Cake', 'ingredient', 'Salt'], ['Dessert', 'hasVariant', 'Cake'], ['Custard', 'ingredient', 'Sugar'], ['Pastry', 'ingredient', 'Butter'], ['Tart', 'ingredient', 'Pastry'], ['Dessert', 'hasVariant', 'Ice_cream'], ['Cake', 'ingredient', 'Butter'], ['Dessert', 'hasVariant', 'Sandesh_(confectionery)'], ['Dessert', 'hasVariant', 'Tong_sui'], ['Bionico', 'ingredient', 'Sour_cream'], ['Ice_cream', 'ingredient', 'Cream'], ['Sandesh_(confectionery)', 'ingredient', 'Condensed_milk'], ['Dessert', 'hasVariant', 'Custard'], ['Bionico', 'ingredient', 'Condensed_milk'], ['Dessert', 'hasVariant', 'Cookie'], ['Pastry', 'ingredient', 'Egg_(food)'], ['Bionico', 'ingredient', 'Granola'], ['Sandesh_(confectionery)', 'ingredient', 'Chhena'], ['Pastry', 'ingredient', 'Sugar'], ['Gelatin_dessert', 'ingredient', 'Gelatin'], ['Pastry', 'ingredient', 'Shortening'], ['Dessert', 'hasVariant', 'Tart'], ['Custard', 'ingredient', 'Egg_yolk'], ['Dessert', 'hasVariant', 'Pastry'], ['Custard', 'ingredient', 'Milk'], ['Dessert', 'hasVariant', 'Pudding'], ['Ice_cream', 'ingredient', 'Sweetener'], ['Cake', 'ingredient', 'Sugar'], ['Custard', 'ingredient', 'Vanilla'], ['Dessert', 'hasVariant', 'Gelatin_dessert'], ['Ice_cream', 'ingredient', 'Milk'], ['Dessert', 'hasVariant', 'Fruit'], ['Dessert', 'hasVariant', 'Pie'], ['Sandesh_(confectionery)', 'ingredient', 'Jaggery'], ['Pastry', 'ingredient', 'Milk'], ['Pastry', 'ingredient', 'Lard']]Text: Bionico is a dessert and it requires granola as one of its ingredients. bot:[('Bionico', 'course', 'Dessert'), ('Bionico', 'ingredient', 'Granola'), ('Bionico', 'type', 'Food')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Language': {'label': 'language', 'comment': '-'}, 'Linguist': {'label': 'linguist', 'comment': '-'}, 'HistoricalCountry': {'label': 'Historical country', 'comment': 'ایک ایسی جگہ جو ایک ملک ہوا کرتی تھی۔'}, 'Country': {'label': 'country', 'comment': '-'}, 'HistoricalProvince': {'label': 'Historical province', 'comment': 'A place which used to be a province.'}} Available Properties: {'deFactoLanguage': {'label': 'certification', 'description': 'No description available DataTypeProperty'}, 'dutchArtworkCode': {'label': 'Dutch artwork code', 'description': 'No description available DataTypeProperty'}, 'jureLanguage': {'label': 'circumcised', 'description': 'No description available DataTypeProperty'}, 'kinOfLanguage': {'label': 'kindOfLanguage', 'description': 'No description available DataTypeProperty'}, 'language': {'label': 'legend thumbnail localization', 'description': 'No description available DataTypeProperty'}, 'officialLanguage': {'label': 'free flight time (s)', 'description': 'No description available DataTypeProperty'}, 'originalLanguage': {'label': 'lchf draft year', 'description': 'No description available DataTypeProperty'}, 'otherLanguage': {'label': 'other language of a settlement', 'description': 'No description available DataTypeProperty'}, 'pronunciation': {'label': 'circumcised', 'description': 'No description available DataTypeProperty'}, 'regionalLanguage': {'label': 'first publication date', 'description': 'Date of the first publication. DataTypeProperty'}, 'titleLanguage': {'label': 'title language', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Belgium', 'currency', 'Euro']]Text: The language spoken is Belgium is German. bot:[('Belgium', 'language', 'German_language'), ('Belgium', 'type', 'Country')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Aristocrat': {'label': 'aristocrat', 'comment': '-'}, 'PrimeMinister': {'label': 'prime minister', 'comment': '-'}, 'VicePrimeMinister': {'label': 'vice prime minister', 'comment': '-'}, 'AmericanLeader': {'label': 'American Leader', 'comment': '-'}, 'Ambassador': {'label': 'ambassador', 'comment': 'An ambassador is the highest ranking diplomat that represents a nation and is usually accredited to a foreign sovereign or government, or to an international organization.'}} Available Properties: {'birthPlace': {'label': 'Bioavailability', 'description': '"The rate and extent to which the active ingredient or active moiety is absorbed from a drug product and becomes available at the site of action. For drug products that are not intended to be absorbed into the bloodstream, bioavailability may be assessed by measurements intended to reflect the rate and extent to which the active ingredient or active moiety becomes available at the site of action (21CFR320.1)." DataTypeProperty'}, 'deputy': {'label': 'infant mortality', 'description': 'No description available DataTypeProperty'}, 'electionDateLeader': {'label': 'election date leader', 'description': 'The date that leader was elected. DataTypeProperty'}, 'governorGeneral': {'label': 'start date', 'description': 'The start date of the event. DataTypeProperty'}, 'heir': {'label': 'displacement (cc)', 'description': 'No description available DataTypeProperty'}, 'lieutenant': {'label': 'subject of play', 'description': 'The overall subject matter dealt with by the play. DataTypeProperty'}, 'location': {'label': 'currency code', 'description': 'ISO 4217 currency designators. DataTypeProperty'}, 'locationCity': {'label': 'date of latest election', 'description': 'No description available DataTypeProperty'}, 'majorityLeader': {'label': 'majority leader', 'description': 'number of office holder DataTypeProperty'}, 'mayorCouncillor': {'label': 'mayor councillor', 'description': 'No description available DataTypeProperty'}, 'minister': {'label': 'ship beam (μ)', 'description': 'The beam of a ship is its width at the widest point. DataTypeProperty'}, 'numberOfOffices': {'label': 'number of offices', 'description': "Number of the company's offices. DataTypeProperty"}, 'office': {'label': '(political) office', 'description': 'No description available DataTypeProperty'}, 'politicGovernmentDepartment': {'label': 'defeat', 'description': 'No description available DataTypeProperty'}, 'politicalLeader': {'label': 'non professional career', 'description': 'No description available DataTypeProperty'}, 'predecessor': {'label': 'original maximum boat beam (μ)', 'description': 'No description available DataTypeProperty'}, 'primeMinister': {'label': 'number of entities of Person class born in the place', 'description': 'No description available DataTypeProperty'}, 'successor': {'label': 'other name', 'description': 'No description available DataTypeProperty'}, 'superintendent': {'label': 'document number', 'description': 'Identification a document within a particular registry DataTypeProperty'}, 'vicePrimeMinister': {'label': 'road end direction', 'description': 'End of the route. The opposite of OntologyProperty:routeStartDirection. DataTypeProperty'}} Subgraph:[['Evangelos_Venizelos', 'termPeriod', 'Evangelos_Venizelos__Tenure__10'], ['Adonis_Georgiadis', 'termPeriod', 'Adonis_Georgiadis__Tenure__1'], ['Makis_Voridis', 'termPeriod', 'Makis_Voridis__Tenure__2'], ['Antonis_Samaras', 'almaMater', 'Amherst_College'], ['Antonis_Samaras__Tenure__1', 'president', 'Karolos_Papoulias'], ['Evangelos_Venizelos__Tenure__9', 'primeMinister', 'Costas_Simitis'], ['Evangelos_Venizelos__Tenure__6', 'primeMinister', 'Costas_Simitis'], ['Antonis_Samaras', 'almaMater', 'Harvard_Business_School'], ['Makis_Voridis__Tenure__1', 'primeMinister', 'Kyriakos_Mitsotakis'], ['Makis_Voridis', 'termPeriod', 'Makis_Voridis__Tenure__4'], ['Makis_Voridis__Tenure__3', 'primeMinister', 'Antonis_Samaras'], ['Evangelos_Venizelos', 'termPeriod', 'Evangelos_Venizelos__Tenure__7'], ['Evangelos_Venizelos__Tenure__8', 'primeMinister', 'Costas_Simitis'], ['Adonis_Georgiadis__Tenure__1', 'primeMinister', 'Kyriakos_Mitsotakis'], ['Evangelos_Venizelos', 'termPeriod', 'Evangelos_Venizelos__Tenure__8'], ['Antonis_Samaras', 'termPeriod', 'Antonis_Samaras__Tenure__1'], ['Adonis_Georgiadis', 'termPeriod', 'Adonis_Georgiadis__Tenure__2'], ['Evangelos_Venizelos__Tenure__5', 'primeMinister', 'George_Papandreou'], ['Evangelos_Venizelos__Tenure__10', 'primeMinister', 'Andreas_Papandreou'], ['Makis_Voridis__Tenure__2', 'primeMinister', 'Kyriakos_Mitsotakis'], ['Evangelos_Venizelos', 'termPeriod', 'Evangelos_Venizelos__Tenure__1'], ['Makis_Voridis', 'termPeriod', 'Makis_Voridis__Tenure__3'], ['University_College_London', 'chancellor', 'Anne,_Princess_Royal'], ['Adonis_Georgiadis__Tenure__3', 'president', 'Kyriakos_Mitsotakis'], ['Evangelos_Venizelos__Tenure__4', 'primeMinister', 'Lucas_Papademos'], ['Evangelos_Venizelos', 'almaMater', 'Aristotle_University_of_Thessaloniki'], ['Evangelos_Venizelos', 'termPeriod', 'Evangelos_Venizelos__Tenure__11'], ['Adonis_Georgiadis__Tenure__2', 'primeMinister', 'Antonis_Samaras'], ['Adonis_Georgiadis', 'termPeriod', 'Adonis_Georgiadis__Tenure__3'], ['Makis_Voridis', 'almaMater', 'National_and_Kapodistrian_University_of_Athens'], ['Evangelos_Venizelos__Tenure__7', 'primeMinister', 'Costas_Simitis'], ['Makis_Voridis__Tenure__4', 'primeMinister', 'Lucas_Papademos'], ['Makis_Voridis', 'termPeriod', 'Makis_Voridis__Tenure__1'], ['Evangelos_Venizelos', 'termPeriod', 'Evangelos_Venizelos__Tenure__9'], ['Makis_Voridis', 'almaMater', 'University_College_London'], ['Evangelos_Venizelos__Tenure__2', 'primeMinister', 'Antonis_Samaras'], ['Evangelos_Venizelos', 'termPeriod', 'Evangelos_Venizelos__Tenure__3'], ['Evangelos_Venizelos', 'termPeriod', 'Evangelos_Venizelos__Tenure__4'], ['University_College_London', 'chancellor', 'University_of_London'], ['Evangelos_Venizelos', 'almaMater', 'Panthéon-Assas_University'], ['Evangelos_Venizelos', 'termPeriod', 'Evangelos_Venizelos__Tenure__6'], ['Evangelos_Venizelos__Tenure__11', 'primeMinister', 'Andreas_Papandreou'], ['Evangelos_Venizelos__Tenure__1', 'primeMinister', 'Antonis_Samaras'], ['Harvard_Business_School', 'dean', 'Srikant_Datar'], ['Evangelos_Venizelos', 'termPeriod', 'Evangelos_Venizelos__Tenure__2'], ['Evangelos_Venizelos', 'termPeriod', 'Evangelos_Venizelos__Tenure__5'], ['Evangelos_Venizelos__Tenure__4', 'primeMinister', 'George_Papandreou']]Text: Adonis Georgiadis was in office while Athens-born Antonis Samaras was Prime Minister. In turn, Samaras was in office while Konstantinos Mitsotakis was Prime Minister. Samaras' deputy is Evangelos Venizelos and Georgiadis was succeeded by Makis Voridis. bot:[('Antonis_Samaras', 'birthPlace', 'Athens'), ('Antonis_Samaras', 'deputy', 'Evangelos_Venizelos'), ('Adonis_Georgiadis', 'primeMinister', 'Antonis_Samaras'), ('Antonis_Samaras', 'primeMinister', 'Konstantinos_Mitsotakis'), ('Adonis_Georgiadis', 'successor', 'Makis_Voridis')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Opera': {'label': 'opera', 'comment': '-'}, 'Restaurant': {'label': 'restaurant', 'comment': '-'}, 'Polysaccharide': {'label': 'polysaccharide', 'comment': '-'}, 'MovingWalkway': {'label': 'travellator', 'comment': '-'}, 'Blazon': {'label': 'Blazon', 'comment': '-'}} Available Properties: {'astrazenca': {'label': 'Astrazenca', 'description': 'AstraZeneca plc is a British-Swedish multinational pharmaceutical and biotechnology company with its headquarters at the Cambridge Biomedical Campus in Cambridge, England. DataTypeProperty'}, 'championInSingleFemale': {'label': 'escalafon', 'description': 'No description available DataTypeProperty'}, 'coemperor': {'label': 'bowl record', 'description': 'No description available DataTypeProperty'}, 'collectionSize': {'label': 'diseasesDb', 'description': 'No description available DataTypeProperty'}, 'country': {'label': 'eye colour', 'description': 'No description available DataTypeProperty'}, 'countryOrigin': {'label': 'number of licensed', 'description': 'nombre de personnes ayant une license pour pratiquer cette activité DataTypeProperty'}, 'currency': {'label': 'SATCAT', 'description': 'satellite catalogue number, omit leading zeroes (e.g. 25544) DataTypeProperty'}, 'deFactoLanguage': {'label': 'certification', 'description': 'No description available DataTypeProperty'}, 'deanery': {'label': 'price ($)', 'description': 'The price of something, eg a journal. For "total money earned by an Athlete" use gross DataTypeProperty'}, 'demonym': {'label': 'circumcised', 'description': 'No description available DataTypeProperty'}, 'denomination': {'label': 'area (km2)', 'description': 'The area of the thing in square meters. DataTypeProperty'}, 'dubber': {'label': 'rank', 'description': 'Rank of something among other things of the same kind, eg Constellations by Area; MusicalAlbums by popularity, etc DataTypeProperty'}, 'elo': {'label': 'ELO rating', 'description': 'No description available DataTypeProperty'}, 'governmentCountry': {'label': 'boiling point (K)', 'description': 'No description available DataTypeProperty'}, 'iupacName': {'label': 'IUPAC name', 'description': 'No description available DataTypeProperty'}, 'jureLanguage': {'label': 'circumcised', 'description': 'No description available DataTypeProperty'}, 'language': {'label': 'legend thumbnail localization', 'description': 'No description available DataTypeProperty'}, 'leader': {'label': 'number of all MuscialArtist playing the style', 'description': 'No description available DataTypeProperty'}, 'leaderName': {'label': 'original title', 'description': 'The original title of the work, most of the time in the original language as well DataTypeProperty'}, 'leaderParty': {'label': 'election majority', 'description': 'number of votes the office holder attained DataTypeProperty'}, 'neighboringMunicipality': {'label': 'percentage of alcohol', 'description': 'percentage of alcohol present in a beverage DataTypeProperty'}, 'originalLanguage': {'label': 'lchf draft year', 'description': 'No description available DataTypeProperty'}, 'presentMunicipality': {'label': 'total mass (kg)', 'description': 'No description available DataTypeProperty'}, 'seniunija': {'label': 'escalafon', 'description': 'No description available DataTypeProperty'}, 'supply': {'label': 'black ski piste number', 'description': 'No description available DataTypeProperty'}, 'team': {'label': 'number of reactors', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Ajoblanco', 'country', 'Spain'], ['Felipe_VI', 'spouse', 'Queen_Letizia_of_Spain'], ['Felipe_VI', 'parent', 'Sophia_of_Greece_and_Denmark'], ['Spain', 'largestCity', 'Madrid'], ['Madrid', 'country', 'Spain'], ['Felipe_VI', 'parent', 'Juan_Carlos_I_of_Spain']]Text: Ajoblanco is a food found in Spanish speaking and Felipe VI led Spain. It is also home to the Spaniards and can be purchased with the Euro. bot:[('Ajoblanco', 'country', 'Spain'), ('Spain', 'currency', 'Euro'), ('Spain', 'demonym', 'Spaniards'), ('Spain', 'language', 'Spanish_language'), ('Spain', 'leader', 'Felipe_VI'), ('Spain', 'type', 'Country'), ('Ajoblanco', 'type', 'Food')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'PrehistoricalPeriod': {'label': 'prehistorical period', 'comment': '-'}, 'GeologicalPeriod': {'label': 'geological period', 'comment': '-'}, 'HistoricalEvent': {'label': 'historical event', 'comment': 'an event that is clearly different from strictly personal events and had historical impact'}, 'HistoricPlace': {'label': 'historic place', 'comment': '-'}, 'ProtohistoricalPeriod': {'label': 'protohistorical period', 'comment': '-'}} Available Properties: {'bodyDiscovered': {'label': 'monument protection status', 'description': "The sort of status that is granted to a protected Building or Monument. This is not about being protected or not, this is about the nature of the protection regime. E.g., in the Netherlands the protection status 'rijksmonument' points to more elaborate protection than other statuses. DataTypeProperty"}, 'countryOrigin': {'label': 'number of licensed', 'description': 'nombre de personnes ayant une license pour pratiquer cette activité DataTypeProperty'}, 'countryWithFirstAstronaut': {'label': 'hairs', 'description': 'No description available DataTypeProperty'}, 'deathPlace': {'label': 'dress code', 'description': 'The recommended dress code for an establishment or event. DataTypeProperty'}, 'discovered': {'label': 'discovery date', 'description': 'No description available DataTypeProperty'}, 'discoverer': {'label': 'international phone prefix', 'description': 'No description available DataTypeProperty'}, 'discovery': {'label': 'date when the island has been discovered', 'description': 'No description available DataTypeProperty'}, 'era': {'label': 'numberOfClasses', 'description': 'number of defined Classes DataTypeProperty'}, 'ethnicity': {'label': 'school number', 'description': 'No description available DataTypeProperty'}, 'explorer': {'label': 'contract award', 'description': 'No description available DataTypeProperty'}, 'extinctionDate': {'label': 'extinction date', 'description': '!!! Do NOT use this property for non Species related dates!!! - Date when an Organization (eg PoliticalParty, Company) or Species ceased to exist DataTypeProperty'}, 'firstAscentPerson': {'label': 'size (MB)', 'description': 'size of a file or software DataTypeProperty'}, 'foundingDate': {'label': 'founding date', 'description': 'No description available DataTypeProperty'}, 'geologicPeriod': {'label': 'geologic period', 'description': 'No description available DataTypeProperty'}, 'isPartOfWineRegion': {'label': 'epoch', 'description': 'moment in time used as a referrence point for some time-vaying astronomical quantity DataTypeProperty'}, 'livingPlace': {'label': 'temperature (K)', 'description': 'No description available DataTypeProperty'}, 'nationality': {'label': 'national tournament bronze', 'description': 'No description available DataTypeProperty'}, 'orogeny': {'label': 'draft position', 'description': 'No description available DataTypeProperty'}, 'period': {'label': 'Dutch artwork code', 'description': 'No description available DataTypeProperty'}, 'placeOfBurial': {'label': 'depth (μ)', 'description': 'Is a measure of the distance between a reference height and a point underneath. The exact meaning for a place is unclear. If possible, use or to be unambiguous. DataTypeProperty'}, 'twinCountry': {'label': 'function end date', 'description': 'No description available DataTypeProperty'}} Subgraph:[['James_Henry_Craig', 'battle', 'Battle_of_Trois-Rivières'], ['Battle_of_Quebec_(1775)', 'place', 'Quebec_City'], ['Southern_theater_of_the_American_Revolutionary_War', 'place', 'South_Carolina'], ['James_Henry_Craig', 'battle', 'Battle_of_Ticonderoga_(1777)'], ['French_Revolutionary_Wars', 'place', 'Egypt_Eyalet'], ['Canadians', 'populationPlace', 'Italy'], ['Canadians', 'populationPlace', 'Hong_Kong'], ['James_Henry_Craig', 'battle', 'Battle_of_Quebec_(1775)'], ['United_States', 'largestCity', 'New_York_City'], ['Canadians', 'religion', 'History_of_the_Jews_in_Canada'], ['James_Henry_Craig', 'battle', 'Southern_theater_of_the_American_Revolutionary_War'], ['Napoleonic_Wars', 'place', 'Indian_Ocean'], ['Canadians', 'populationPlace', 'United_Kingdom'], ['Canadians', 'populationPlace', 'United_Arab_Emirates'], ['Milwaukee', 'founder', 'Byron_Kilbourn'], ['Battle_of_Quebec_(1775)', 'place', 'Province_of_Quebec_(1763–1791)'], ['Battle_of_Trois-Rivières', 'place', 'Trois-Rivières'], ['French_Revolutionary_Wars', 'place', 'Middle_East'], ['United_Arab_Emirates', 'largestCity', 'Dubai'], ['Battles_of_Saratoga', 'place', 'Saratoga_County,_New_York'], ['Canadians', 'religion', 'Sikhism_in_Canada'], ['Napoleonic_Wars', 'place', 'Europe'], ['James_Henry_Craig', 'battle', 'Battles_of_Saratoga'], ['Southern_theater_of_the_American_Revolutionary_War', 'place', 'Virginia'], ['French_Revolutionary_Wars', 'place', 'Caribbean'], ['Canadians', 'populationPlace', 'Australia'], ['Napoleonic_Wars', 'place', 'Caucasus'], ['Battle_of_Hubbardton', 'place', 'Hubbardton,_Vermont'], ['Battle_of_Bunker_Hill', 'place', 'Charlestown,_Boston'], ['Battle_of_Trois-Rivières', 'place', 'Province_of_Quebec_(1763-1791)'], ['Milwaukee', 'founder', 'George_H._Walker'], ['Canadians', 'populationPlace', 'Canadian_diaspora'], ['Pakistan', 'largestCity', 'Karachi'], ['James_Henry_Craig', 'battle', 'Saratoga_Campaign'], ['Battle_of_Hubbardton', 'place', 'Rutland_County,_Vermont'], ['Southern_theater_of_the_American_Revolutionary_War', 'place', 'Georgia_(U.S._state)'], ['Napoleonic_Wars', 'place', 'French_Guiana'], ['James_Henry_Craig', 'battle', 'Anglo-Russian_invasion_of_Naples'], ['Wisconsin', 'largestCity', 'Milwaukee'], ['Penobscot_Expedition', 'place', 'Maine'], ['James_Henry_Craig', 'battle', 'American_Revolutionary_War'], ['Canadians', 'religion', 'Irreligion_in_Canada'], ['French_Revolutionary_Wars', 'place', 'Atlantic_Ocean'], ['Napoleonic_Wars', 'place', 'Mediterranean_Sea'], ['Canadians', 'populationPlace', 'Pakistan'], ['James_Henry_Craig', 'battle', 'Napoleonic_Wars'], ['Canadians', 'religion', 'Christianity_in_Canada'], ['Napoleonic_Wars', 'place', 'Middle_East'], ['James_Henry_Craig', 'militaryBranch', 'British_Army'], ['Battle_of_Hubbardton', 'place', 'New_Hampshire_Grants'], ['Australia', 'largestCity', 'Sydney'], ['Napoleonic_Wars', 'place', 'Río_de_la_Plata'], ['Napoleonic_Wars', 'place', 'Southern_Africa'], ['Napoleonic_Wars', 'place', 'South_America'], ['James_Henry_Craig', 'battle', 'Battle_of_Hubbardton'], ['James_Henry_Craig', 'battle', 'French_Revolutionary_Wars'], ['Southern_theater_of_the_American_Revolutionary_War', 'place', 'East_Florida'], ['Penobscot_Expedition', 'place', 'Penobscot_Bay'], ['Napoleonic_Wars', 'place', 'North_America'], ['James_Henry_Craig', 'battle', 'Battle_of_Muizenberg'], ['French_Revolutionary_Wars', 'place', 'Indian_Ocean'], ['Canadians', 'populationPlace', 'China'], ['Canadians', 'religion', 'Islam_in_Canada'], ['James_Henry_Craig', 'battle', 'Battle_of_Bunker_Hill'], ['Canadians', 'populationPlace', 'United_States'], ['Canadians', 'religion', 'Religion_in_Canada'], ['Southern_theater_of_the_American_Revolutionary_War', 'place', 'North_Carolina'], ['China', 'largestCity', 'Shanghai'], ['Canadians', 'religion', 'Hinduism_in_Canada'], ['Napoleonic_Wars', 'place', 'East_Indies'], ['Lebanon', 'largestCity', 'Beirut'], ['Canadians', 'populationPlace', 'Lebanon'], ['Napoleonic_Wars', 'place', 'West_Indies'], ['Battles_of_Saratoga', 'place', 'Stillwater,_New_York'], ['Canadians', 'populationPlace', 'France'], ['Napoleonic_Wars', 'place', 'North_Sea'], ['Milwaukee', 'founder', 'Solomon_Juneau'], ['James_Henry_Craig', 'battle', 'Penobscot_Expedition'], ['Southern_theater_of_the_American_Revolutionary_War', 'place', 'West_Florida'], ['Napoleonic_Wars', 'place', 'Atlantic_Ocean'], ['French_Revolutionary_Wars', 'place', 'Europe'], ['Canadians', 'religion', 'Buddhism_in_Canada'], ['Napoleonic_Wars', 'place', 'Pacific_Ocean']]Text: Canadian national, James Craig Watson (died in Madison, Wisconsin), discovered 101 Helena, which has the epoch on, 2006-12-31. bot:[('James_Craig_Watson', 'deathPlace', 'Madison,_Wisconsin'), ('101_Helena', 'discoverer', 'James_Craig_Watson'), ('101_Helena', 'epoch', '2006-12-31'), ('James_Craig_Watson', 'nationality', 'Canada')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'CanadianFootballPlayer': {'label': 'canadian football Player', 'comment': '-'}, 'GridironFootballPlayer': {'label': 'gridiron football player', 'comment': 'Gradiron football, also called North American football, is a family of soccer team games played primarily in the United States and Canada.'}, 'AustralianRulesFootballPlayer': {'label': 'Australian rules football player', 'comment': '-'}, 'AustralianFootballTeam': {'label': 'australian football Team', 'comment': '-'}, 'AmericanFootballPlayer': {'label': 'american football player', 'comment': '-'}} Available Properties: {'appearancesInNationalTeam': {'label': 'appearances in national team', 'description': 'No description available DataTypeProperty'}, 'club': {'label': 'number of live albums', 'description': 'the number of live albums released by the musical artist DataTypeProperty'}, 'clubsRecordGoalscorer': {'label': 'memorial ID number', 'description': 'Identifier for monuments of the Memorial type DataTypeProperty'}, 'diploma': {'label': 'plays', 'description': 'No description available DataTypeProperty'}, 'fc': {'label': 'FC', 'description': 'No description available DataTypeProperty'}, 'formerCoach': {'label': 'number of trails', 'description': 'Number of trails in ski area. DataTypeProperty'}, 'formerTeam': {'label': 'mill dissapeared code NL', 'description': 'No description available DataTypeProperty'}, 'goalsInLeague': {'label': 'goals in league', 'description': 'No description available DataTypeProperty'}, 'goalsInNationalTeam': {'label': 'goals in national team', 'description': 'No description available DataTypeProperty'}, 'managerClub': {'label': 'Gray subject', 'description': "Refers to the famous 1918 edition of Gray's Anatomy. DataTypeProperty"}, 'playerInTeam': {'label': 'capacity', 'description': 'Number of people who can be served by a Train or other service; or participate in a SoccerClub, CricketTeam, etc DataTypeProperty'}, 'stateOfOriginTeam': {'label': 'barangays', 'description': 'No description available DataTypeProperty'}, 'youthClub': {'label': 'flag caption', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Association_football', 'equipment', 'Shinpad'], ['Association_football', 'equipment', 'Ball_(association_football)']]Text: The footballer Stuart Parker plays for the Bury FC. bot:[('Stuart_Parker', 'club', 'Bury_F.C.'), ('Stuart_Parker', 'type', 'Hyphen-minus')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'GovernmentalAdministrativeRegion': {'label': 'governmental administrative region', 'comment': 'An administrative body governing some territorial unity, in this case a governmental administrative body'}, 'GovernmentAgency': {'label': 'government agency', 'comment': 'A government agency is a permanent or semi-permanent organization in the machinery of government that is responsible for the oversight and administration of specific functions, such as an intelligence agency.'}, 'AdministrativeRegion': {'label': 'administrative region', 'comment': 'A PopulatedPlace under the jurisdiction of an administrative body. This body may administer either a whole region or one or more adjacent Settlements (town administration)'}, 'ClericalAdministrativeRegion': {'label': 'clerical administrative region', 'comment': 'An administrative body governing some territorial unity, in this case a clerical administrative body'}, 'ProgrammingLanguage': {'label': 'programming language', 'comment': '-'}} Available Properties: {'abbreviation': {'label': 'maximum ELO rating', 'description': 'No description available DataTypeProperty'}, 'administrativeCenter': {'label': 'musicFormat', 'description': 'The format of the album: EP, Single etc. DataTypeProperty'}, 'agencyStationCode': {'label': 'agency station code', 'description': 'Agency station code (used on tickets/reservations, etc.). DataTypeProperty'}, 'architectualBureau': {'label': 'number of spans', 'description': 'Number of spans or arches. DataTypeProperty'}, 'atcCode': {'label': 'ATC code', 'description': 'therapeutic chemical identification code per ATC DataTypeProperty'}, 'billed': {'label': 'end date and time', 'description': 'The end date and time of the event. DataTypeProperty'}, 'codeStockExchange': {'label': 'code Stock Exchange', 'description': 'No description available DataTypeProperty'}, 'coden': {'label': 'CODEN', 'description': 'CODEN is a six character, alphanumeric bibliographic code, that provides concise, unique and unambiguous identification of the titles of serials and non-serial publications from all subject areas. DataTypeProperty'}, 'compiler': {'label': 'PersonsFirstDosesCumul', 'description': 'Number of persons received first vaccine doses DataTypeProperty'}, 'location': {'label': 'currency code', 'description': 'ISO 4217 currency designators. DataTypeProperty'}, 'municipalityCode': {'label': 'municipality code', 'description': 'No description available DataTypeProperty'}, 'simcCode': {'label': 'first launch', 'description': 'No description available DataTypeProperty'}, 'subTribus': {'label': 'best wsop rank', 'description': 'No description available DataTypeProperty'}, 'terytCode': {'label': 'band', 'description': 'No description available DataTypeProperty'}, 'tradeMark': {'label': 'maximum ELO rating', 'description': 'No description available DataTypeProperty'}, 'translator': {'label': 'limit', 'description': 'No description available DataTypeProperty'}, 'version': {'label': 'discharge (m³/s)', 'description': 'No description available DataTypeProperty'}} Subgraph:[['Square_Enix_Europe', 'industry', 'Video_game_industry']]Text: Administrative Science Quarterly, abbreviated Admin. Sci. Q., has a Coden code of 'ASCQAG'. bot:[('Administrative_Science_Quarterly', 'abbreviation', 'Administrative_Science_Quarterly'), ('Administrative_Science_Quarterly', 'coden', 'ASCQAG'), ('Administrative_Science_Quarterly', 'type', 'Work')]
human: Generate Triplets from the text, by strictly following the given Ontology and it should fit into the subgraph. Available Classes: {'Memorial': {'label': 'memorial', 'comment': 'A monument erected to commemorate a person, an event and/or group. In the case of a person, this might be a grave or tomb.'}, 'Monument': {'label': 'monument', 'comment': 'A type of structure (a statue or an art object) created to commemorate a person or important event, not necessarily of a catastrophic nature.'}, 'GraveMonument': {'label': 'grave stone or grave monument', 'comment': 'A monument erected on a tomb, or a memorial stone.'}, 'HistoricalCountry': {'label': 'Historical country', 'comment': 'ایک ایسی جگہ جو ایک ملک ہوا کرتی تھی۔'}, 'MythologicalFigure': {'label': 'mythological figure', 'comment': '-'}} Available Properties: {'beatifiedPlace': {'label': 'element period', 'description': 'In the periodic table of the elements, elements are arranged in a series of rows (or periods) so that those with similar properties appear in a column. DataTypeProperty'}, 'cemetery': {'label': 'canonized date', 'description': 'No description available DataTypeProperty'}, 'city': {'label': 'illiteracy', 'description': 'No description available DataTypeProperty'}, 'codeMemorial': {'label': 'memorial ID number', 'description': 'Identifier for monuments of the Memorial type DataTypeProperty'}, 'codeNationalMonument': {'label': 'monument code (national)', 'description': 'Code assigned to (Dutch) monuments at the national level, deemed to be of national value DataTypeProperty'}, 'costumeDesigner': {'label': 'Pfizer', 'description': 'American multinational pharmaceutical corporation the COVID-19 vaccine Pfizer–BioNTech COVID-19 vaccine DataTypeProperty'}, 'countryWithFirstAstronaut': {'label': 'hairs', 'description': 'No description available DataTypeProperty'}, 'designCompany': {'label': 'information', 'description': 'No description available DataTypeProperty'}, 'designer': {'label': 'information name', 'description': 'No description available DataTypeProperty'}, 'dutchMIPCode': {'label': 'monument code for the Monuments Inventory Project', 'description': 'The Dutch MIP project was meant to take stock of all kinds of monuments DataTypeProperty'}, 'groupCommemorated': {'label': 'group commemorated', 'description': 'Designates the category of people commemorated by a monument DataTypeProperty'}, 'inCemetery': {'label': 'weight (kg)', 'description': 'No description available DataTypeProperty'}, 'leader': {'label': 'number of all MuscialArtist playing the style', 'description': 'No description available DataTypeProperty'}, 'leaderName': {'label': 'original title', 'description': 'The original title of the work, most of the time in the original language as well DataTypeProperty'}, 'leaderParty': {'label': 'election majority', 'description': 'number of votes the office holder attained DataTypeProperty'}, 'location': {'label': 'currency code', 'description': 'ISO 4217 currency designators. DataTypeProperty'}, 'locationCity': {'label': 'date of latest election', 'description': 'No description available DataTypeProperty'}, 'majorShrine': {'label': 'Dose', 'description': 'Dose means quantity (in units of energy/mass) in the fields of nutrition, medicine, and toxicology. Dosage is the rate of application of a dose, although in common and imprecise usage, the words are sometimes used synonymously. DataTypeProperty'}, 'protectionStatus': {'label': 'monument protection status', 'description': "The sort of status that is granted to a protected Building or Monument. This is not about being protected or not, this is about the nature of the protection regime. E.g., in the Netherlands the protection status 'rijksmonument' points to more elaborate protection than other statuses. DataTypeProperty"}} Subgraph:[['Artur_Rasizade', 'birthPlace', 'Soviet_Union'], ['Azerbaijan', 'topLevelDomain', '.az'], ['Artur_Rasizade', 'birthPlace', 'Azerbaijan_Soviet_Socialist_Republic'], ['Baku', 'country', 'Azerbaijan'], ['Artur_Rasizade', 'birthPlace', 'Ganja,_Azerbaijan'], ['Turkey', 'largestCity', 'Istanbul']]Text: Azerbaijan, where the leader is Artur Rasizade, is the location of the Baku Turkish Martyrs Memorial. The memorial was designed by Huseyin Butuner and Hilmi Guner. bot:[("Baku_Turkish_Martyrs'_Memorial", 'designer', 'Hüseyin_Bütüner_and_Hilmi_Güner'), ('Azerbaijan', 'leader', 'Artur_Rasizade'), ("Baku_Turkish_Martyrs'_Memorial", 'location', 'Azerbaijan'), ('Azerbaijan', 'type', 'Country')]
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