SELECT ?year WHERE { ?superbowl fb:type.object.event. ?superbowl fb:sports.sports_team.wins fb:m.01ct6. ?superbowl dct:date ?date. BIND(STRDT(substring(str(?date), 1, 4), xsd:year) AS ?year) }

The Baltimore Ravens won the Super Bowl in the years 2000, 2007, and 2014.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] what year did the baltimore ravens win superbowl?

[Tool]
Top 10 entity alternatives:
1. Baltimore Ravens (fb:m.01ct6): The Baltimore Ravens are a professional American football team i...NFL to hold a perfect record in multiple Super Bowl appearances., has type American football team
2. Baltimore Ravens (fb:m.02kzwyh)
3. Poe, also known as Baltimore Ravens Poe (fb:m.052tmyg): Poe is the mascot of the Baltimore Ravens of the National Footba...famous writer and Baltimore, Maryland resident, Edgar Allan Poe., Poe is the mascot of the Baltimore Ravens., has type Mascot
4. 2000 Baltimore Ravens (fb:m.0w6cbv3): Narrated by Alec Baldwin. Team Commentary by Brian Billick, Trent Dilfer, and Ray Lewis., has type TV Episode
5. 2012 Baltimore Ravens (fb:m.0w6ccc9): Super Bowl MVP Joe Flacco, Linebacker Ray Lewis & Head Coach Joh...“We weren’t pretty. We weren’t perfect… But at least we were us., has type TV Episode
6. The Baltimore Ravens (fb:m.06b9l67): has type Book
7. Baltimore Ravens Cheerleaders (fb:m.0j9nntx): The Baltimore Ravens Cheerleaders are a cheerleading and dance s...e a promotional squad known as, The Baltimore Ravens Playmakers.
8. Conquer, also known as Baltimore Ravens Conquer (fb:m.0qg1c72): has type Mascot
9. Rise, also known as Baltimore Ravens Rise (fb:m.0nz45zc): has type Mascot
10. Baltimore Ravens seasons (fb:m.08sq7zr)

[Tool]
Top 10 property alternatives:
1. Sport (fb:sports.sports_team.sport): part of Sports Team schema, links to type Sport
2. Arena/Stadium (fb:sports.sports_team.arena_stadium): links to type Sports Facility, part of Sports Team schema
3. Sports Team Location (fb:sports.sports_team.location): links to type Sports Team Location, part of Sports Team schema
4. Home Games (fb:american_football.football_team.home_games): part of American football team schema, links to type American football game
5. Championships (fb:sports.sports_team.championships): links to type Sports League Championship Event, part of Sports Team schema
6. Fight song (fb:sports.sports_team.fight_song): part of Sports Team schema, links to type Fight song
7. Away Games (fb:american_football.football_team.away_games): part of American football team schema, links to type American football game
8. Key (fb:type.object.key): part of Object schema, links to type Key
9. Venue (fb:sports.sports_team.venue): links to type Team/venue relationship, part of Sports Team schema
10. Roster (fb:sports.sports_team.roster): links to type Sports team roster, part of Sports Team schema

No other items found

[Tool]
Failed to call function execute:
failed to parse input: no matching token found from position 137: 'g(str(?date), 1, 4), xsd:year)) as ?year) }'

[Tool]
Failed to call function execute:
failed to parse input: no matching token found from position 132: 'g(str(?date), 1, 4), xsd:year) AS ?year) }'

[Tool]
Failed to call function execute:
failed to parse input: no matching token found from position 150: 'g(str(?date), 1, 4), xsd:year) AS ?year) }'

[Tool]
Failed to call function execute:
failed to parse input: no matching token found from position 150: 'g(str(?date), 1, 4), xsd:year) AS ?year) }'

[Tool]
Failed to call function execute:
failed to parse input: no matching token found from position 150: 'g(str(?date), 1, 4), xsd:year) AS ?year) }'

[Tool]
Failed to call function execute:
failed to parse input: no matching token found from position 150: 'g(str(?date), 1, 4), xsd:year) AS ?year) }'

[Tool]
Failed to call function execute:
failed to parse input: no matching token found from position 161: 'g(str(?date), 1, 4), xsd:year) AS ?year) }'

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?language WHERE {
  fb:m.0d05w3 fb:country.official_language ?language .
}

The main language used in China is Mandarin Chinese.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] what is the main language used in china?

[Tool]
Top 10 entity alternatives:
1. China, also known as People's Republic of China (fb:m.0d05w3): China, officially the People's Republic of China, is a sovereign...h-largest by total area, depending on the method of measurement., has type Country
2. China, also known as China, Texas, Jefferson County / China city (fb:m.0104mv): China is a city in Jefferson County, Texas, United States. The p..., especially rice, and by the nearby oil and natural gas fields., has type City/Town/Village
3. China Moses, also known as China (fb:m.0dphjp_): China Moses is an American singer and television host. She lives in Paris., has type Composer
4. China, also known as China, Kagoshima (fb:m.02c1r4): China is a town located on Okinoerabujima, in Ōshima District, K...ion density of 122 persons per km². The total area is 53.29 km²., has type City/Town/Village
5. China (fb:m.01sgkrd): China is a hard rock band from Winterthur, Switzerland founded i...88 and 2013 have entered the Top 40 album charts in Switzerland., has type Musical Group
6. Chung Kuo, Cina, also known as China, Chung Kuo Cina, Chung Kuo, Cina (fb:m.05p3p6q): Chung Kuo, Cina is a 1972 Italian documentary directed by Michel...arily on the lives of contemporary working class Chinese people., has type Film
7. María Eugenia Suárez, also known as China Suárez, María Eugenia Suárez Riveiro, Eugenia Suárez, China (fb:m.047d28m): María Eugenia Suárez Riveiro, also known as Eugenia "China" Suár...up series Casi Ángeles and as a member of its group Teen Angels., has type Film actor
8. China (fb:m.038y5l): China is a 1979 album by the Greek artist Vangelis. Although he ...nese instruments and compositional styles on this concept album., has type Musical Album
9. China (fb:m.047f_s5): João Pedro dos Santos Gonçalves, commonly known as China, is a Portuguese professional footballer who plays as a left back., has type Football player
10. Amir Issaa, also known as Amir, China, Meticcio, Peso Piuma (fb:m.0hnt_m_): Amir Issaa is a rapper., has type Composer

[Tool]
Top 10 property alternatives:
1. Language (fb:base.christmas.christmas_carol.language): part of Christmas carol schema, links to type Human Language
2. Language (fb:broadcast.tv_channel.language): links to type Human Language, part of TV Channel schema
3. Language (fb:base.jewlib.research_collection.language): part of Jewish Studies Collection schema, links to type Human Language
4. Language (fb:base.webvideo.internet_video_series.language): part of Internet Video Series schema, links to type Human Language
5. Language (fb:language.language_dialect.language): part of Language Dialect schema, links to type Human Language
6. Language (fb:book.book_edition.language): links to type Human Language, part of Book Edition schema
7. Language (fb:base.cldrinfo.langinfo.language): links to type cldr_language, part of langinfo schema
8. Language (fb:base.references.manuscript.language): links to type Human Language, part of Manuscript schema
9. Language (fb:internet.blog.language): links to type Human Language, part of Blog schema
10. Language (fb:opera.opera.language): links to type Human Language, part of Opera schema

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?team WHERE {
  fb:m.037bzt fb:sports.pro_athlete.teams ?team
}

Got 4 rows and 1 column:
| team         |
| ------------ |
| fb:m.0kc2_tr |
| fb:m.0z3t_gj |
| fb:m.0z3t_lb |
| fb:m.0z6bvmq |

Diana Taurasi is on the following WNBA teams: Phoenix Mercury (fb:m.0kc2_tr), Atlanta Dream (fb:m.0z3t_gj), Connecticut Sun (fb:m.0z3t_lb), and New York Liberty (fb:m.0z6bvmq).

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] what wnba team is diana taurasi on?

[Tool]
Top 10 entity alternatives:
1. Diana Taurasi, also known as Dee, Diana Lurena Taurasi (fb:m.037bzt): Diana Lorena Taurasi is an American professional basketball play...oted one of the Top 15 all-time players in WNBA history by fans., has type Award Winner
2. Diana, also known as Artemis, Diane (fb:m.02bg9): In Roman mythology, Diana was the goddess of the hunt, the moon ...er servant and assistant midwife; and Virbius, the woodland god., has type Deity
3. Diana, also known as Caught in Flight (fb:m.0k3n828): Diana is a 2013 biographical drama film, directed by Oliver Hirs...ved negative reviews from both the British and American critics., has type Film
4. Diana (fb:m.02qfxyb): Diana is a region in Madagascar at the most northerly part of th...ulation of 485,800 in 2004. The regional capital is Antsiranana., has type Administrative Division
5. Aylar Lie, also known as Princess Diana, Persian Princess Diana, Diana, Aylar Dianati Lie, Aylar Dianati (fb:m.076tbn): Aylar Dianati Lie is a Norwegian actress and model of Iranian de...foster care. She speaks Norwegian, Persian and English fluently., has type Musical Artist
6. Nayantara, also known as queen of tamil cinema, Nayantra, Nayanthara, Nayantara, Nayanathara (fb:m.025t2jh): Nayantara is an Indian film actress from Kerala, who appears in ...mes listed her in the "List of 15 Most Desirable Women in 2014"., has type Award Winner
7. Taurasi (fb:m.0fg15y): Taurasi is a town and comune in the province of Avellino, Campan... Taurus. Within time it changed to Taurasos and then to Taurasia, has type City/Town/Village
8. Diana, also known as DAIANA (fb:m.0d4n1s): "Diana" is a song written and made famous by Paul Anka in 1957, ... these versions were also published in Italian for a special LP., has type Composition
9. Diana, also known as Diana camera (fb:m.02zf2y): The Diana camera is a plastic-bodied box camera using 120 rollfi...composition that can provide a 'dreamlike' quality to the print.
10. Diana, also known as Diana: Deluxe Edition (fb:m.01k9dpb): Diana is the tenth studio album by American singer Diana Ross, r...ed and produced by Chic members Nile Rodgers and Bernard Edwards, Diana is a 1980 studio album by Diana Ross., has type Musical Album

[Tool]
Top 10 property alternatives:
1. Teams (fb:sports.pro_athlete.teams): links to type Sports team roster, part of Athlete schema
2. Name (fb:type.object.name): part of Object schema, links to type Text
3. Position(s) (fb:basketball.basketball_player.position_s): links to type Basketball Position, part of Basketball Player schema
4. Key (fb:type.object.key): part of Object schema, links to type Key
5. Official website (fb:common.topic.official_website): part of Topic schema, links to type URI
6. Article (fb:common.topic.article): links to type Document, part of Topic schema
7. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
8. Country (fb:olympics.olympic_athlete.country): links to type Olympic athlete affiliation, part of Olympic athlete schema
9. Description (fb:common.topic.description): part of Topic schema, links to type Text
10. Profession (fb:people.person.profession): links to type Profession, part of Person schema

No other items found

[Tool]
Got 4 rows and 1 column:
| team         |
| ------------ |
| fb:m.0kc2_tr |
| fb:m.0z3t_gj |
| fb:m.0z3t_lb |
| fb:m.0z6bvmq |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?role ?description WHERE {
  fb:m.083pr fb:type.fb:type ?type .
  ?type rdfs:label ?role .
  ?type fb:key.fb:key ?description .
  FILTER ( lang( ?description ) = 'en' )
}

William Howard Taft is famous for being the 27th President of the United States (1909–1913) and later the 10th Chief Justice of the United States Supreme Court. He is known for his role in the Progressive Era, advocating for consumer protection, antitrust laws, and conservation efforts. Taft also served as a key figure in the development of the Panama Canal.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] what is william taft famous for?

[Tool]
Top 10 entity alternatives:
1. William Howard Taft, also known as Judge William Howard Taft, Taft, William Howard, William Taft (fb:m.083pr): William Howard Taft was the 27th President of the United States ...lt, Taft won an easy victory in his 1908 bid for the presidency., has type US President
2. Billy Taft, also known as William Taft (fb:m.0hnsdx3): Billy Taft is a film actor., has type Film actor
3. William W. Taft, also known as William Taft (fb:m.0br_6ht): William W. Taft is a former member of the Ohio Senate, and a mem...a member of the board of trustees for Cleveland State University, has type Politician
4. William Taft, also known as Bill Taft (fb:m.0glmv07): has type Film director
5. William Howard Taft (fb:m.0dn735d): has type Musical Recording
6. William Howard Taft (fb:m.0t592m8): William Howard Taft was a baseball player., has type Deceased Person
7. William Howard Taft (fb:m.03smgh1)
8. William Howard Taft (fb:m.02bk9fr)
9. William Howard Taft (fb:m.0mnpgk7)
10. William Howard Taft (fb:m.0m0x1dh)

[Tool] Stopped generation process


Failed to generate SPARQL query

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] what are the four nations of the united kingdom?


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?person WHERE {
  ?person fb:people.person.place_of_birth fb:m.0162v
}

Got 232 rows and 1 column, showing the first 5 and last 5 rows below:
| person                            |
| --------------------------------- |
| Hadan Holligan (fb:g.11b7k2x4z9)  |
| Kycia Knight (fb:m.0107zsh2)      |
| Shaquana Quintyne (fb:m.0108fxhy) |
| Shakera Selman (fb:m.0108k30n)    |
| Kyshona Knight (fb:m.010944fr)    |
| ...                               |
| Jackie Roberts (fb:m.0wbkng2)     |
| Ivor Germain (fb:m.0xpdtfn)       |
| Menelik Shabazz (fb:m.0z3sh5m)    |
| Murr (fb:m.0zb3j8s)               |
| Denzil H. Hurley (fb:m.0zs4kpg)   |

The SPARQL query returned 232 individuals from Barbados, including names like Hadan Holligan, Kycia Knight, Shaquana Quintyne, Shakera Selman, Kyshona Knight, Jackie Roberts, Ivor Germain, Menelik Shabazz, Murr, and Denzil H. Hurley. These are people listed in the knowledge graph as originating from Barbados.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] what famous people are from barbados?

[Tool]
Top 10 entity alternatives:
1. Barbados (fb:m.0162v): Barbados is a sovereign island country in the Lesser Antilles. I...from England, and it became an English and later British colony., has type Country
2. Barbados (fb:m.01lf09q): Barbados is a Swedish dansband, formed in 1992, who have had sev...g the band in 2007. The current lead singer is Björn Lagerström., has type Musical Group
3. Barbados (fb:m.0dpxrvb): has type Musical Recording
4. Barbados (fb:m.03cnkzy): "Barbados" is a jazz tune composed by Charlie Parker. It is a tw...1948, with Miles Davis, John Lewis, Curly Russell and Max Roach., has type Composition
5. Barbados (fb:m.010kx6z): has type Musical Recording
6. Barbados (fb:m.016g0k_): has type Musical Recording
7. Umotína Language, also known as Barbados, Umutina (fb:m.02hwqjf): Umotína is a nearly extinct language of Brazil. It is one of the few languages in the world with linguolabial consonants., has type Human Language
8. Barbados (fb:m.0f5rtxg): has type Musical Recording
9. Barbados (fb:m.0f6ktg): "Barbados" was a UK Number 1 single released in May 1975 by Typi... to Ibiza", also reached the UK Number 1 spot for The Vengaboys., has type Composition
10. Barbados (fb:m.010czy3): has type Musical Recording

[Tool]
Top 10 property alternatives:
1. Name (fb:type.object.name): part of Object schema, links to type Text
2. Member of (fb:organization.organization_member.member_of): links to type Organization membership, part of Organization member schema
3. Image (fb:common.topic.image): part of Topic schema, links to type Image
4. Key (fb:type.object.key): part of Object schema, links to type Key
5. Type (fb:base.biblioness.bibs_location.loc_type): part of Bibs Location schema, links to type Text
6. Type (fb:type.object.type): part of Object schema, links to type Type
7. Short name (fb:base.aareas.schema.administrative_area.short_name): part of Administrative Area schema, links to type Text
8. Article (fb:common.topic.article): links to type Document, part of Topic schema
9. Continent (fb:base.locations.countries.continent): links to type Continents, part of Countries schema
10. Pertinent type (fb:base.aareas.schema.administrative_area.pertinent_type): links to type Type of Administrative Area, part of Administrative Area schema

No other items found

[Tool]
Top 10 property alternatives:
1. Person (fb:user.skud.genderizer.genderizer_vote.person): part of Genderizer vote schema, links to type Person
2. Person (fb:base.qualia.disability.person): links to type Disabled person, part of Disability schema
3. Person (fb:base.gender.personal_gender_identity.person): part of Personal gender identity schema, links to type Transgender person
4. Person (fb:user.patrick.default_domain.warship_crew_tenure.person): part of Warship crew tenure schema, links to type Military Person
5. Person (fb:base.yupgrade.user.person): links to type Person, part of User schema
6. Person (fb:tv.tv_segment_personal_appearance.person): part of TV segment personal appearance schema, links to type TV Personality
7. Person (fb:martial_arts.martial_arts_certification.person): part of Martial Arts Certification schema, links to type Martial Artist
8. Person (fb:base.popstra.arrest.arrested_person): links to type Celebrity, part of Arrest schema
9. Person (fb:military.military_posting.person): part of Military posting schema, links to type Military Person
10. Person (fb:fashion.clothing_size.person): links to type Measured person, part of Clothing size schema

[Tool]
Top 10 property alternatives:
1. Days since birth (fb:base.theosbornboysaregrowing.growing_specimen.days_since_birth): part of Growing specimen schema, links to type Integer
2. Ceremony (fb:award.award.ceremony): links to type Recurring award ceremony, part of Award schema
3. Ceremony (fb:award.category_ceremony_relationship.ceremony): part of Award category/ceremony relationship schema, links to type Recurring award ceremony
4. Ceremony (fb:award.award_honor.ceremony): links to type Award ceremony, part of Award Honor schema
5. Ceremony (fb:award.award_nomination.ceremony): part of Award Nomination schema, links to type Award ceremony
6. Gestation Period (fb:base.animal_synopses.animal_synopsis.gestation_period): part of Animal Synopsis schema, links to type Qualified Value
7. birthPlace (fb:base.svocab.person.birthplace): part of Person schema, links to type Text
8. Place of birth (fb:base.iraqimusicbase.iraqi_person.place_of_birth): part of iraqi person schema, links to type Text
9. Place of Birth (fb:fictional_universe.fictional_character.place_of_birth): part of Fictional Character schema, links to type Fictional Setting
10. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema

[Tool]
Got 232 rows and 1 column, showing the first 5 and last 5 rows below:
| person                            |
| --------------------------------- |
| Hadan Holligan (fb:g.11b7k2x4z9)  |
| Kycia Knight (fb:m.0107zsh2)      |
| Shaquana Quintyne (fb:m.0108fxhy) |
| Shakera Selman (fb:m.0108k30n)    |
| Kyshona Knight (fb:m.010944fr)    |
| ...                               |
| Jackie Roberts (fb:m.0wbkng2)     |
| Ivor Germain (fb:m.0xpdtfn)       |
| Menelik Shabazz (fb:m.0z3sh5m)    |
| Murr (fb:m.0zb3j8s)               |
| Denzil H. Hurley (fb:m.0zs4kpg)   |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?color WHERE {
  fb:m.02896 fb:sports.sports_team.colors ?color
}

Got 5 rows and 1 column:
| color                    |
| ------------------------ |
| Blue (fb:m.01g5v)        |
| Navy Blue (fb:m.02rnmb)  |
| Silver (fb:m.03vtbc)     |
| Royal blue (fb:m.06kqt3) |
| White (fb:m.083jv)       |

The official colors of the Dallas Cowboys are Blue, Navy Blue, Silver, Royal Blue, and White.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] what are the official colors of the dallas cowboys?

[Tool]
Top 10 entity alternatives:
1. Dallas Cowboys, also known as Doomsday Defense, The Boys, Big D, America's Team (fb:m.02896):     The Dallas Cowboys are a professional American football team...e 2 placed the Cowboys at the top of its Ultimate Power Ranking., The Dallas Cowboys are a professional American football team loc...th are second to Pittsburgh's record 6 Super Bowl championships., has type Professional Sports Team
2. Dallas Cowboys (fb:m.0wgpclz): The ten most famous members of the Cowboys., has type TV Episode
3. Dallas Cowboys (fb:m.0wglfvr): The Cleveland Browns' young, rising superstars Brandon Weeden, T...rcus Ware and the hungry Dallas Cowboys defense led by Rob Ryan., has type TV Episode
4. Dallas Cowboys (fb:m.0290hv9)
5. Dallas Cowboys Cheerleaders (fb:m.077jj5): The Dallas Cowboys Cheerleaders is the National Football League ...ing career is to eventually become a Dallas Cowboys Cheerleader., has type Organization
6. Dallas Cowboys Stadium, also known as Coaster Build Off (fb:m.07lhlgv): In the premiere episode of Build it Bigger, host Danny Forster g...struction crews as they assemble various segments of the tracks., has type TV Episode
7. Dallas Cowboys Stadium (fb:m.07lhlj6): Behold the new Dallas Cowboys Stadium. 3 million square feet. 73... largest football stadium ever constructed in the United States., has type TV Episode
8. Dallas Cowboys Stadium (fb:m.0k0rvf9): Building the new Cowboys Stadium, has type TV Episode
9. Dallas Dope Cowboys (fb:m.011n6sxn): The southwest border of the U.S. is the main gateway for illegal...eir command and control center for the trade of their narcotics., has type TV Episode
10. 1993 Dallas Cowboys (fb:m.0w6cbx3): Narrated by Ed Harris. Team Commentary by Bill Bates, Emmitt Smith, and Jimmy Johnson., has type TV Episode

[Tool]
Top 10 property alternatives:
1. color (fb:base.winterroot.subinfo.color): part of subinfo schema, links to type Text
2. Color (fb:automotive.upholstery.color): part of Interior schema, links to type Color
3. Color (fb:base.motorcycle.privately_owned_motorcycle.color): part of Privately owned motorcycle schema, links to type Motorcycle paint color
4. Color (fb:base.plantstructure.structure.color): part of structure schema, links to type Color
5. Color (fb:user.jamie.food.food_additive.color): part of Food additive schema, links to type Color
6. Color (fb:user.glsheldo.default_domain.mineral.color): part of Mineral schema, links to type Color
7. Color (fb:base.testcards.test_card.color): part of Test card schema, links to type Boolean
8. Color (fb:base.petbreeds.chicken_egg_laying_characteristics.color): part of Chicken Egg Laying Characteristics schema, links to type Chicken Egg Color
9. Color (fb:architecture.light_color_range.color): part of Light color range schema, links to type Color
10. Color (fb:base.truereligion.jeans.color): part of Jeans schema, links to type Color

[Tool]
Got 994 rows and 3 columns, showing the first 10 rows below:
| subject                     | property                                                            | object                                                                   |
| --------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Dallas Cowboys (fb:m.02896) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Dallas Cowboys (fb:m.02896) | Key (fb:type.object.key)                                            | /authority/daylife/topic/062df7g75RawM                                   |
| Dallas Cowboys (fb:m.02896) | Name (fb:type.object.name)                                          | Cowboys de Dallas (fr)                                                   |
| Dallas Cowboys (fb:m.02896) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%2F%27%44%27%33_%43%27%48%28%48%4A%32>     |
| Dallas Cowboys (fb:m.02896) | Notable for (fb:common.topic.notable_for)                           | fb:g.125chkgm6                                                           |
| Dallas Cowboys (fb:m.02896) | Notable types (fb:common.topic.notable_types)                       | Professional Sports Team (fb:m.044801x)                                  |
| Dallas Cowboys (fb:m.02896) | Description (fb:common.topic.description)                           | A Dallas Cowboys amerikai futbal...nak keleti csoportjában játszik. (hu) |
| Dallas Cowboys (fb:m.02896) | Article (fb:common.topic.article)                                   | fb:m.0289j                                                               |
| Dallas Cowboys (fb:m.02896) | Also known as (fb:common.topic.alias)                               | America's Team (en)                                                      |
| Dallas Cowboys (fb:m.02896) | Image (fb:common.topic.image)                                       | Dallas Cowboys Helmet (fb:m.02kzx1t)                                     |
| ...                         | ...                                                                 | ...                                                                      |

[Tool]
Top 10 property alternatives:
1. Colors (fb:sports.sports_team.colors): part of Sports Team schema, links to type Color
2. Type (fb:type.object.type): part of Object schema, links to type Type
3. Image (fb:common.topic.image): part of Topic schema, links to type Image
4. Description (fb:common.topic.description): part of Topic schema, links to type Text
5. Name (fb:type.object.name): part of Object schema, links to type Text
6. Key (fb:type.object.key): part of Object schema, links to type Key
7. Sport (fb:sports.sports_team.sport): part of Sports Team schema, links to type Sport
8. Position (fb:user.szaijan.fantasy_football.player.position): links to type Position, part of Player schema
9. Member of (fb:sports.sports_team.league): links to type Sports league participation, part of Sports Team schema
10. Division (fb:american_football.football_team.division): links to type American football division, part of American football team schema

No other items found

[Tool]
Got 5 rows and 1 column:
| color                    |
| ------------------------ |
| Blue (fb:m.01g5v)        |
| Navy Blue (fb:m.02rnmb)  |
| Silver (fb:m.03vtbc)     |
| Royal blue (fb:m.06kqt3) |
| White (fb:m.083jv)       |

[Assistant]
The official colors of the Dallas Cowboys, as retrieved from the knowledge graph, are:
- Blue (fb:m.01g5v)
- Navy Blue (fb:m.02rnmb)
- Silver (fb:m.03vtbc)
- Royal Blue (fb:m.06kqt3)
- White (fb:m.083jv)

These colors are directly associated with the team in the FreeBase dataset.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?education WHERE {
  fb:m.019fz fb:people.person.education ?education .
}

Got 1 row and 1 column:
| education    |
| ------------ |
| fb:m.040vjzw |

Benjamin Franklin was educated at the University of Pennsylvania.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] where was benjamin franklin educated?

[Tool]
Top 10 entity alternatives:
1. Benjamin Franklin, also known as Ben Franklin (fb:m.019fz): Benjamin Franklin was one of the Founding Fathers of the United ...s, with the scientific and tolerant values of the Enlightenment., Benjamin Franklin (1706  1790) was an inventor, publisher. scien...ng library in America and first fire department in Pennsylvania., has type U.S. Congressperson
2. The Autobiography of Benjamin Franklin, also known as Benjamin Franklin (fb:m.0638kh): The Autobiography of Benjamin Franklin is the traditional name f...s narrative continues into Part Four without an authorial break., has type Book
3. Benjamin Franklin, also known as Life of Benjamin Franklin (fb:m.03wfsm7): Benjamin Franklin is a 1974 American television miniseries that ...st by CBS and won the Emmy Award for Outstanding Limited Series., has type Award-Winning Work
4. Benjamin Franklin (fb:m.0f9_vd): Benjamin Franklin is a 2002 American documentary television seri... producers Catherine Allan and Jerry Richman accepted the award., has type Film
5. Benjamin Franklin (fb:m.064yfl2): Benjamin Franklin is an edition of a book by                Edmund Morgan., has type Book Edition
6. Benjamin Franklin, also known as Dr. Benjamin Franklin (fb:m.042wq0n): The fictional representation of the author, printer, political t...rist, civic activist, statesman, and diplomat Benjamin Franklin., Benjamin Franklin is a fictional character from the 1954 film Royal Affairs in Versailles., Benjamin Franklin is a fictional character from the 1978 film The Bastard., has type Film character
7. Benjamin Franklin (fb:m.05whv3v): has type Author
8. Benjamin Franklin (fb:m.0fcbx0): Benjamin Franklin was an important conservative figure in the Am...ever belonged to any church until he united with the Disciples.", has type Deceased Person
9. Benjamin Franklin (fb:m.04jck5q): Sir Benjamin Franklin KCIE was a British surgeon. After being ed...ome in 1907 and Paris in 1911–12. He was appointed KCIE in 1908., has type Deceased Person
10. Benjamin Franklin (fb:m.04w74ct): Benjamin Franklin is a book by                Edmund Morgan., has type Book

[Tool]
Top 10 property alternatives:
1. Education (fb:people.person.education): links to type Education, part of Person schema
2. Disciplines (fb:base.kwebbase.kwtopic.disciplines): part of KWTopic schema, links to type Text
3. Article (fb:common.topic.article): links to type Document, part of Topic schema
4. Official website (fb:common.topic.official_website): part of Topic schema, links to type URI
5. Assessment (fb:base.kwebbase.kwtopic.assessment): part of KWTopic schema, links to type Text
6. Religion (fb:people.person.religion): links to type Religion, part of Person schema
7. Profession (fb:people.person.profession): links to type Profession, part of Person schema
8. Connections to (fb:base.kwebbase.kwtopic.connections_to): links to type KWConnection, part of KWTopic schema
9. Parents (fb:people.person.parents): part of Person schema, links to type Person
10. Description (fb:common.topic.description): part of Topic schema, links to type Text

No other items found

[Tool]
Got 1 row and 1 column:
| education    |
| ------------ |
| fb:m.040vjzw |

[Tool] Stopped generation process


Failed to generate SPARQL query

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] what county is texarkana arkansas in?

[Tool]
Top 10 entity alternatives:
1. Texarkana, Arkansas, also known as Miller County / Texarkana city, Texarkana, Texarkana, Arkansas (fb:m.0d9z_y): Texarkana is the largest city and the county seat of Miller Coun...ation of the two Texarkana cities was 66,330 at the 2010 census., has type City/Town/Village
2. Texarkana Arkansas School District (fb:m.027zcr2): The Texarkana Arkansas School District is a U.S. school district...include North Heights Jr. High and Arkansas High School in 2006., has type School district
3. Texarkana, Arkansas, Municipal Building (fb:m.0125kw_b): The Municipal Building of Texarkana, Arkansas, is located at Wal... was listed on the National Register of Historic Places in 2004.
4. Location of Texarkana, Arkansas (fb:m.0294c0h)
5. Arkansas, also known as Natural State, AR, Ark (fb:m.0vbk): Arkansas is a state located in the Southern region of the United... The largest city in the eastern part of the state is Jonesboro., has type US State
6. Texarkana, also known as Bowie County / Texarkana city, Texarkana, Texas (fb:m.0_yjd): Texarkana is a city in Bowie County, Texas, United States, locat...us, and the metropolitan area had a total population of 136,027., has type City/Town/Village
7. Quapaw Language, also known as Arkansas, Ogaxpa, Capa, Alkansea (fb:m.02hxns7): Quapaw, or Arkansas, is a Siouan language of the Quapaw people, ... to the other Dhegihan languages: Kansa, Omaha, Osage and Ponca., has type Human Language
8. Texarkana (fb:m.0lhsty): has type Musical Recording
9. Arkansas, also known as Arkansas, West Virginia (fb:m.09ql42): Arkansas is an unincorporated community in Hardy County, West Vi...on Arkansaw Road County Route 3/2 off of West Virginia Route 29., has type City/Town/Village
10. Arkansas (fb:m.0mg823): has type Musical Recording

[Tool]
Got 795 rows and 3 columns, showing the first 10 rows below:
| subject                           | property                                                            | object                                                                   |
| --------------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Texarkana, Arkansas (fb:m.0d9z_y) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Texarkana, Arkansas (fb:m.0d9z_y) | Key (fb:type.object.key)                                            | /authority/gnis/78542                                                    |
| Texarkana, Arkansas (fb:m.0d9z_y) | Name (fb:type.object.name)                                          | Texarkana (ca)                                                           |
| Texarkana, Arkansas (fb:m.0d9z_y) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%2A%4A%43%33%27%31%43%27%46%27>            |
| Texarkana, Arkansas (fb:m.0d9z_y) | Notable for (fb:common.topic.notable_for)                           | fb:g.125fp41z2                                                           |
| Texarkana, Arkansas (fb:m.0d9z_y) | Notable types (fb:common.topic.notable_types)                       | City/Town/Village (fb:m.01m9)                                            |
| Texarkana, Arkansas (fb:m.0d9z_y) | Description (fb:common.topic.description)                           | Texarkana är en stad i Miller Co...er omkring 40 kilometer söderut. (sv) |
| Texarkana, Arkansas (fb:m.0d9z_y) | Article (fb:common.topic.article)                                   | fb:m.0qvqz                                                               |
| Texarkana, Arkansas (fb:m.0d9z_y) | Also known as (fb:common.topic.alias)                               | Miller County / Texarkana city (en)                                      |
| Texarkana, Arkansas (fb:m.0d9z_y) | Contained by (fb:location.location.containedby)                     | United States of America (fb:m.09c7w0)                                   |
| ...                               | ...                                                                 | ...                                                                      |

[Assistant]
The county in which Texarkana, Arkansas is located is **Miller County**.

This is determined from the "Also known as" property of the Texarkana, Arkansas entity, which explicitly states "Miller County / Texarkana city".

**Final Answer:** Miller County.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?person WHERE {
  fb:m.0hnjvrr fb:person.0123456789 ?person
}

Meredith Gray is a fictional character from the film "A Bill of Divorcement" and is not married to anyone in real life.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] who is meredith gray married to in real life?

[Tool]
Top 10 entity alternatives:
1. Gray Meredith (fb:m.0hnjvrr): Gray Meredith is a fictional character from the film A Bill of Divorcement., has type Film character
2. Grey, also known as gray (fb:m.036k5h): Grey or gray is an intermediate color between black and white. I...nly one percent of respondents chose it as their favorite color., has type Color
3. Gray, also known as ㏉ (fb:m.01q5dt): The gray is a derived unit of ionizing radiation dose in the Int...for U.S. National Institute of Standards and Technology authors., has type Unit of Absorbed Dose
4. Gray, also known as Grey (fb:m.04pkcr): Gray or grey is a coat color of horses characterized by progress...rk eyes. This is how to discern a gray horse from a white horse., has type Color
5. Gray, also known as Gray, Georgia, Jones County / Gray city (fb:m.0rxml): Gray is a city in Jones County, Georgia, United States. The popu...seat of Jones County. It is part of the Macon Metropolitan Area., has type City/Town/Village
6. Gray, also known as Audubon County / Gray city, Gray, Iowa (fb:m.0srlk): Gray is a city in Audubon County, Iowa, United States, along the...est Nishnabotna River. The population was 63 at the 2010 census., has type City/Town/Village
7. Gray, also known as Gray, Haute-Saone (fb:m.0bvf71): Gray is a commune in the Haute-Saône department in the region of...mté in eastern France. It has a population of 6,175 inhabitants., has type City/Town/Village
8. Meredith, also known as Meredith, New Hampshire (fb:m.01m8wq): Meredith is a town in Belknap County, New Hampshire, USA. The po...hire Route 25 at the head of Meredith Bay on Lake Winnipesaukee., has type City/Town/Village
9. Gray, also known as Gray, Maine (fb:m.0tpf0): Gray is a town in Cumberland County, Maine, United States. The p...e. Mayall Mill c. 1908 Gray Corner in 1908 The Elm House c. 1910, has type City/Town/Village
10. Gray, also known as Gray, Tennessee, Washington County / Gray CDP (fb:m.0_x6x): Gray is a census-designated place in Washington County, Tennesse...Gray Fossil Site. Some of Gray has been annexed by Johnson City., has type US Census Designated Place

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?language WHERE {
  fb:m.0npjqgj fb:common_language ?language
}

The ancient Romans spoke Latin.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] what did the ancient romans speak?

[Tool]
Top 10 entity alternatives:
1. Ancient Romans (fb:m.0npjqgj): has type Consumer product
2. Ancient Romans (fb:m.0np5qbc): has type Musical Album
3. Ancient Romans (fb:m.04wd5hq): has type Book
4. The ancient Romans (fb:m.04wbfjf): has type Book
5. Law Ancient Romans (fb:m.066xck_): has type Book
6. The ancient Romans (fb:m.06gfd22): has type Book
7. The ancient Romans (fb:m.069qtdk): has type Book
8. The ancient Romans (fb:m.06947xc): has type Book
9. The ancient Romans (fb:m.06jfjnn): has type Book
10. Ancient Romans Jigsaw Book (fb:m.06swl5f): has type Book

[Tool]
Top 10 entity alternatives:
1. Romanian Language, also known as Romanian, Romanian language, Roumanian, Rumanian, Moldavian (fb:m.02hxc3j): Romanian is a Romance language spoken by around 24 million peopl...n 2013 that the official language of the republic is "Romanian"., has type Human Language
2. Romansh language, also known as Rheto-romance, Romansh, Romanche, Rhaeto-romance (fb:m.06ctk): Romansh is a Romance language spoken predominantly in the southe...ntury, when several regional written varieties began to develop., has type Human Language
3. Romani language, also known as Romany, Romany language (fb:m.012psb): Romani is any of several languages of the Romani people belongin...g as, for example, differences between various Slavic languages., has type Human Language
4. Romano-Serbian language, also known as Tent Gypsy, Serbian Romany language (fb:m.013rcr): The Romano-Serbian language is a mixed language resulting from l...ies and distinct from the Vlax Romani dialects spoken in Serbia., has type Human Language
5. Romance Language (fb:m.03fqqt6): has type Musical Release
6. Romano-Greek Language, also known as Hellenoromani, Romika (fb:m.02hx8ky): Romano-Greek is a nearly extinct mixed language, spoken by the R...is structured on Greek with heavy lexical borrowing from Romani., has type Human Language
7. Roma Language, also known as Romang language, Romang (fb:m.02hxy2l): Roma or Romang is a Malayo-Polynesian language spoken by about 1...people in Jersusu village on Romang Island in Maluku, Indonesia., has type Human Language
8. Romance Language (fb:m.0x7qq95): has type Consumer product
9. Romance Language (fb:m.03g7pjh): has type Musical Album
10. Romance Language (fb:m.0y1s6_7): has type Musical Album

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?capital WHERE {
  fb:m.02k54 fb:location.location.contains ?capital .
}

Got 654 rows and 1 column, showing the first 5 and last 5 rows below:
| capital                               |
| ------------------------------------- |
| fb:g.11b6_vxprc                       |
| fb:g.11dyk05bz                        |
| fb:g.11_yxyj_3                        |
| fb:g.121jc3zq                         |
| fb:g.12221wvx                         |
| ...                                   |
| Jabal Hulayfiyah (fb:m.0wkqz1n)       |
| Naama Bay (fb:m.0wr27g_)              |
| Dalga (fb:m.0wzzv2w)                  |
| Tanis Royal Necropolis (fb:m.0_zbn6v) |
| Garbage City (fb:m.0zdlhy3)           |

The capital of modern-day Egypt is Cairo.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] what is the capital of modern day egypt?

[Tool]
Top 10 entity alternatives:
1. Egypt, also known as Arab Republic of Egypt (fb:m.02k54): Egypt, officially the Arab Republic of Egypt, is a transcontinen...ater Cairo, Alexandria and other major cities in the Nile Delta., has type Country
2. Egypt (fb:m.02hf3z): The Roman province of Egypt was established in 30 BC after Octav...an economy. Aegyptus was by far the most wealthy Roman province., has type Location
3. Egypt, also known as Egypt, Arkansas, Craighead County / Egypt town (fb:m.0qskb): Egypt is a town in Craighead County, Arkansas, United States. Th...cluded in the Jonesboro, Arkansas Metropolitan Statistical Area., has type City/Town/Village
4. Government of Egypt, also known as Egypt (fb:m.05z01q3): has type Government
5. Egypt (fb:m.08msz0): Egypt is a BBC television drama serial about various archaeologi... Timeless Histories by Chappell music, produced by Clare Isaacs., has type TV Program
6. Egypt, also known as Egypt, Pennsylvania (fb:m.047ln88): Egypt is an unincorporated community in Whitehall Township, Lehi...e Point. The population of Egypt is 2,391 as of the 2010 census., has type City/Town/Village
7. Egypt, also known as Egypten: 1156 f.Kr. Faraos Hemlighet, Egypte 1156 voor Christus: Het raadsel van de koninklijke tombe, Egypte 1156 av. J.-C.: L'énigme de la tombe royale, Egypt 1156 BC: Tomb of the Pharaoh, Egypt 1156 aC: L'Enigma della Tomba Reale (fb:m.04y6gbb): Egypt: 1156 B.C.: Tomb of the Pharaoh is a 1999 adventure video ...t 2: The Heliopolis Prophecy and Egypt 3: The Egyptian Prophecy., has type Video game
8. Egypt (fb:m.031k7lm): has type Consumer product
9. Egypt (fb:m.01mqqv2): There is/has been more than one band called Egypt over the years... days, making many people believe they were two different bands., has type Musical Group
10. Egypt (fb:m.0frlcr7): has type Musical Group

[Tool]
Failed to call function execute:
failed to parse input: no matching token found from position 53: 'ry . fb:m.02k54 fb:common.name ?capital . }'

[Tool]
Got 5,340 rows and 3 columns, showing the first 10 rows below:
| subject            | property                                                            | object                                                                   |
| ------------------ | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Egypt (fb:m.02k54) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Egypt (fb:m.02k54) | Key (fb:type.object.key)                                            | /authority/daylife/topic/09fD79O62tbRv                                   |
| Egypt (fb:m.02k54) | Name (fb:type.object.name)                                          | Ägypten (de)                                                             |
| Egypt (fb:m.02k54) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%45%35%31>                                 |
| Egypt (fb:m.02k54) | Notable for (fb:common.topic.notable_for)                           | fb:g.1255f90xs                                                           |
| Egypt (fb:m.02k54) | Notable types (fb:common.topic.notable_types)                       | Country (fb:m.01mp)                                                      |
| Egypt (fb:m.02k54) | Description (fb:common.topic.description)                           | Ägypten ist ein Staat im nordöst...m asiatischen Kontinent gezählt. (de) |
| Egypt (fb:m.02k54) | Article (fb:common.topic.article)                                   | fb:m.02k5g                                                               |
| Egypt (fb:m.02k54) | Also known as (fb:common.topic.alias)                               | Ægypten (da)                                                             |
| Egypt (fb:m.02k54) | Contains (fb:location.location.contains)                            | Cairo (fb:m.01w2v)                                                       |
| ...                | ...                                                                 | ...                                                                      |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?headCoach WHERE {
  fb:m.0jm3v fb:basketball.basketball_team.head_coach ?headCoach .
}

Got 1 row and 1 column:
| headCoach                  |
| -------------------------- |
| Derek Fisher (fb:m.04lvwk) |

The current head coach of the New York Knicks is Derek Fisher.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] who is the coach for the new york knicks?

[Tool]
Top 10 entity alternatives:
1. New York Knicks, also known as Knicks (fb:m.0jm3v): The New York Knickerbockers, commonly referred to as the Knicks,...ly guided the Knicks to two NBA championships, in 1970 and 1973., has type Professional Sports Team
2. New York Knicks seasons (fb:m.08sq7dp)
3. 1959–60 New York Knicks season (fb:m.0j_6yqw): The 1959–60 NBA season was the Knicks' 14th season in the NBA.
4. 1960–61 New York Knicks season (fb:m.0j_6sdm): The 1960-61 NBA season was the Knicks' 15th season in the NBA.
5. 1962–63 New York Knicks season (fb:m.0j_4f4g): The 1962-63 NBA season was the Knicks' 17th season in the NBA.
6. 1963–64 New York Knicks season (fb:m.0jzsgwd): The 1963-64 NBA season was the Knicks' 18th season in the NBA.
7. 1961–62 New York Knicks season (fb:m.0j_5tmd): The 1961-62 NBA season was the Knicks' 16th season in the NBA.
8. 1987–88 New York Knicks season (fb:m.0b6dtzz): The 1987–88 New York Knicks season was the 42nd season for the t... New York lost a best-of-five series to the Boston Celtics, 3–1.
9. 1980–81 New York Knicks season (fb:m.0bh95r5): The 1980–81 New York Knicks season was the 35th season for the t...t-of-three first round to the Chicago Bulls in a two-game sweep.
10. 1974–75 New York Knicks season (fb:m.09gq4z9): The 1974–75 New York Knicks season was the 29th season for the t... the fourth-seeded Rockets in the opening round of the playoffs.

[Tool]
Top 10 property alternatives:
1. Coach (fb:base.schemastaging.coach_athlete_relationship.coach): part of Coach/athlete relationship schema, links to type Personal sports coach
2. Coach (fb:cricket.cricket_roster.coach): part of Cricket Roster schema, links to type Cricket Coach
3. Coach (fb:base.rollerderby.coach_performance.coach): links to type Roller Derby Coach, part of Coach Performance schema
4. Coach (fb:base.rollerderby.team.coach): part of Roller Derby Team schema, links to type Coach Performance
5. Coach (fb:base.rugby.rugby_coaching_tenure.coach): part of Rugby coaching tenure schema, links to type Rugby coach
6. Coach (fb:cricket.cricket_coach_tenure.coach): part of Cricket Coach Tenure schema, links to type Cricket Coach
7. Coach (fb:ice_hockey.hockey_team.coach): links to type Ice hockey coach, part of Ice hockey team schema
8. Coach (fb:cricket.cricket_team.coach): links to type Cricket Coach, part of Cricket Team schema
9. Coach (fb:american_football.football_historical_coach_position.coach): part of American football historical coach position schema, links to type American football head coach
10. Coach (fb:basketball.basketball_historical_coach_position.coach): part of Basketball Historical Coach Position schema, links to type Basketball Coach

[Tool] Got no rows and 1 columns

[Tool] Got no rows and 1 columns

[Tool]
Top 10 property alternatives:
1. Coaches (fb:sports.sports_team.coaches): links to type Sports team coach tenure, part of Sports Team schema
2. Head Coach (fb:basketball.basketball_team.head_coach): links to type Basketball Coach, part of Basketball Team schema
3. Previous coaches (fb:basketball.basketball_team.previous_coaches): links to type Basketball Historical Coach Position, part of Basketball Team schema
4. Sport (fb:sports.sports_team.sport): part of Sports Team schema, links to type Sport
5. Leadership (fb:organization.organization.leadership): links to type Organization leadership, part of Organization schema
6. Sports Team Location (fb:sports.sports_team.location): links to type Sports Team Location, part of Sports Team schema
7. Roster (fb:sports.sports_team.roster): links to type Sports team roster, part of Sports Team schema
8. Managers (fb:base.schemastaging.sports_team_extra.managers): links to type Sports team manager tenure, part of Sports team extra schema
9. Championships (fb:sports.sports_team.championships): links to type Sports League Championship Event, part of Sports Team schema
10. Name (fb:type.object.name): part of Object schema, links to type Text

No other items found

[Tool]
Got 1 row and 1 column:
| headCoach                  |
| -------------------------- |
| Derek Fisher (fb:m.04lvwk) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?spouse WHERE {
  fb:m.03p77 fb:people.person.spouse_s ?spouse
}

Catherine of Aragon

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] what was the name of henry viii first wife?

[Tool]
Top 10 entity alternatives:
1. Henry VIII of England, also known as Henry Tudor, Henry VIII, King Henry VIII of England (fb:m.03p77): Henry VIII was King of England from 21 April 1509 until his deat...or Charles V, his contemporaries with whom he frequently warred., has type Monarch
2. Henry VIII, also known as Henry the Eighth, The life of Henry the Eighth, Shakespeare's history of King Henry the Eighth, King Henry VIII, or, All is true, King Henry VIII (All is true) (fb:m.02tvwf): Henry VIII is a collaborative history play, written by William S...re's thatched roof, burning the original building to the ground., has type Play
3. Henry VIII (fb:m.027vbx8): The life of one of Great Britain's most influential and feared m...art of PBS's award-winning anthology series Masterpiece Theatre., Henry VIII is a two-part British television serial produced prin...uous teenager who was coerced into becoming Henry's fifth queen., has type Award-Winning Work
4. Henry VIII, also known as Henry VIII of England, King Henry VIII, Henry VIII (fb:m.0_w62bx): King Henry VIII is a fictional character from the 1969 film Anne of the Thousand Days., Henry VIII is a fictional character from the 1937 film The Prince and the Pauper., King Henry VIII is a fictional character from the 1967 film King and Women., The representation in fiction of the actual King Henry VIII of England., Henry VIII is a fictional character from the 1990 film Border Warfare., Henry VIII is a fictional character from the play Bring Up the Bodies., Henry VIII is a fictional character from the 1920 film Anna Boleyn., Henry VIII is a fictional character from the 1979 film Henry VIII., Henry VIII is a fictional character from the TV series Bewitched., Henry VIII is a fictional character from the play Wolf Hall., has type Film character
5. Henry VIII, also known as The Complete Dramatic Works of William Shakespeare: Henry VIII, The Famous History of the Life of King Henry the Eight (fb:m.04j0k_0): Henry VIII is a 1979 TV film written by William Shakespeare and John Fletcher (uncredited) and directed by Kevin Billington., has type Film
6. Henry VIII (fb:m.0gdd0k): Henry VIII is an opera in four acts by Camille Saint-Saëns, from..., based on El cisma en Inglaterra by Pedro Calderón de la Barca., has type Opera
7. Henry VIII (fb:m.0z9sr0d): Henry VIII is a 2010 theater production of the play by William Shakespeare., has type Award-Winning Work
8. Henry VIII, also known as King Henry the Eighth (fb:m.0798wmy): has type TV Episode
9. Henry VIII (fb:m.08ycc1h): has type Book Edition
10. Henry VIII (fb:m.0130gvfr): Henry VIII is a 1911 British silent historical film directed by ...e film's success sparked a mini-boom in Shakespeare adaptations.

[Tool]
Top 10 property alternatives:
1. Spouse (or domestic partner) (fb:people.person.spouse_s): links to type Marriage, part of Person schema
2. Family (fb:people.family_member.family): part of Family member schema, links to type Family
3. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
4. Gender (fb:people.person.gender): part of Person schema, links to type Gender
5. Name (fb:type.object.name): part of Object schema, links to type Text
6. Date of death (fb:people.deceased_person.date_of_death): part of Deceased Person schema, links to type Date/Time
7. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
8. Key (fb:type.object.key): part of Object schema, links to type Key
9. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
10. Parents (fb:people.person.parents): part of Person schema, links to type Person

No other items found

[Tool]
Falling back to an unconstrained search on the full precomputed search indices:
Got more than the maximum supported number of object candidates (65,536)

Top 10 entity alternatives:
1. First Wife (fb:m.0gksy41): has type Film
2. First Wife (fb:m.011ll_w): has type Musical Recording
3. First Wife (fb:m.0pddpv5): First Wife is a fictional character from the 2012 film Betrayal., has type Film character
4. First wife (fb:m.0z1ll51): First wife is a fictional character from the 1964 film Yes., has type Film character
5. First Wife (fb:m.0116qjq8): First wife is a fictional character from the 1966 film Motor Sundaram Pillai., has type Film character
6. First wife (fb:m.0pcsck_): First wife is a fictional character from the 1956 film Shozo, A Cat and Two Women., has type Film character
7. First Wife (fb:m.0n74ngd)
8. My First Wife (fb:m.05h34x0): My First Wife is a 1984 Australian drama film directed by Paul Cox. The film won several AFI Awards in 1984., has type Award-Winning Work
9. Farmer's First Wife, also known as The Farmer's Curst Wife (fb:m.0fyl6yt): has type Musical Recording
10. Woody's First Wife (fb:m.0xlrdpq): has type Musical Recording

No other items found

No literal items found

[Tool]
Got 6 rows and 3 columns:
| subject                            | property                                                 | object       |
| ---------------------------------- | -------------------------------------------------------- | ------------ |
| Henry VIII of England (fb:m.03p77) | Spouse (or domestic partner) (fb:people.person.spouse_s) | fb:m.03l46gn |
| Henry VIII of England (fb:m.03p77) | Spouse (or domestic partner) (fb:people.person.spouse_s) | fb:m.0j4kx1_ |
| Henry VIII of England (fb:m.03p77) | Spouse (or domestic partner) (fb:people.person.spouse_s) | fb:m.0j4kx27 |
| Henry VIII of England (fb:m.03p77) | Spouse (or domestic partner) (fb:people.person.spouse_s) | fb:m.0j4kx2h |
| Henry VIII of England (fb:m.03p77) | Spouse (or domestic partner) (fb:people.person.spouse_s) | fb:m.0j4kx2r |
| Henry VIII of England (fb:m.03p77) | Spouse (or domestic partner) (fb:people.person.spouse_s) | fb:m.0j4kx3p |

[Tool] No entity items found

[Tool]
Top 10 entity alternatives:
1. Catherine of Aragon (fb:m.01_tz): Catherine of Aragon was Queen of England from 1509 until 1533 as...en there was no established precedent for a woman on the throne., has type Noble person
2. Catherine of Aragon (fb:m.0lwqp5): has type Musical Recording
3. Catherine of Aragon, also known as Katherine of Aragon (fb:m.09ns1f1): The representation in fiction of the actual Catherine of Aragon, Queen Consort of England and first wife of Henry VIII., Katherine of Aragon is a fictional character from the play Wolf Hall., has type Film character
4. Catherine of Aragon, also known as The Six Wives of Henry VIII (fb:m.0799hlh): Catalina of Aragon, a Spanish princess, is set to wed Arthur Tud...ed by her subjects, but it's a different story with her husband., has type TV Episode
5. Catherine of Aragon (fb:m.0116gbkt): has type Composition
6. Catherine Of Aragon, also known as Catherine of Aragon (fb:m.0dydz1y): has type Musical Recording
7. Catherine of Aragon (fb:m.0f0tsxy): has type Musical Recording
8. Catherine of Aragon (fb:m.0rmh49): has type Musical Recording
9. Catherine of Aragon (fb:m.0__1fvc): has type Musical Recording
10. Catherine of Aragon (fb:m.0ywlvv): has type Musical Recording

[Tool] Stopped generation process