PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?year WHERE {
  fb:m.0xbm fb:sports.sports_team.championships ?championship .
  ?championship rdfs:label ?label .
  FILTER ( regex( str( ?label ) , 'FA Cup' ) )
}

Got 59 rows and 1 column, showing the first 5 and last 5 rows below:
| year |
| ---- |

| ...  |

Arsenal won the FA Cup in the following years: 2013–14, 2014, 2004–05, 2001–02, 2002–03, 1992–93, 1997–98, 2003, 2005, and 1970–71.

[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] when did arsenal won the league?

[Tool]
Top 10 entity alternatives:
1. Arsenal F.C., also known as Woolwich Arsenal, The Gunners, Royal Arsenal, Dial Square, Arsenal Gunners (fb:m.0xbm): Arsenal Football Club is a Premier League football club in Hollo...ion football club in the world, valued at £1.3 billion, in 2014., has type Football team
2. Arsenal (fb:m.01b41j): An arsenal is a place where arms and ammunition are made, mainta...l vehicle which is only operational in certain times of the day., has type Building function
3. Arsenal (fb:m.0dmjtl): Arsenal is a Soviet film by Ukrainian director Alexander Dovzhen...pacifist sentiments in films by Jean Renoir and Stanley Kubrick., has type Film
4. Arsenal (fb:m.01nd5l9): Arsenal is an electronic music band consisting of Belgian musici...rican and Latin American rhythms to pop, hip hop and indie rock., has type Musical Group
5. Roy Harper, also known as Arsenal (fb:m.034tm2): Roy Harper is a fictional superhero in the DC Comics Universe. T...ird season as the partner, sidekick and student of Oliver Queen., Roy Harper is a fictional character from 2012 television series Arrow., has type Comic Book Character
6. Arsenal (fb:m.0bmkhbs): Arsenal is a ghost station on the Paris métro, situated on line ...stille and Quai de la Rapée, in the 4th arrondissement of Paris., has type Location
7. Arsenal (fb:m.02vqq6l): Arsenal is a fictional character, a robot that appears in comic ...n Iron Man #114 and was created by Bill Mantlo and Keith Giffen., has type Comic Book Character
8. Arsenal (fb:m.03f0qjh): Arsenal was an American band, formed by the former Big Black gui...actory Smog Is a Sign of Progress, also on Touch and Go Records., has type Musical Group
9. Arsenal (fb:m.02rpz8v): The Arsenal is a former military complex of buildings in the sou...ely a few workshop buildings within the courtyard were replaced., has type Building
10. Arsenal, also known as Arsenal de Metz (fb:m.0k31b9b): The Arsenal Concert Hall is a cultural venue dedicated specially...showroom and concert hall for the Gregorian chant, respectively., has type Venue

[Tool]
Top 10 property alternatives:
1. League (fb:user.szaijan.fantasy_football.season.league): part of Season schema, links to type League
2. League (fb:user.szaijan.fantasy_football.scoring.league): part of Scoring schema, links to type League
3. League (fb:user.szaijan.fantasy_football.draft.league): links to type League, part of Draft schema
4. League (fb:user.xleioo.winning_night.soccer.league): links to type Option List, part of Soccer schema
5. League (fb:basketball.basketball_conference.league): part of Basketball Conference schema, links to type Sports Association
6. League (fb:baseball.baseball_division.league): part of Baseball Division schema, links to type Baseball League
7. League (fb:ice_hockey.hockey_conference.league): part of Ice hockey conference schema, links to type Sports Association
8. League (fb:sports.sports_league_draft.league): part of Sports League Draft schema, links to type Sports Association
9. League (fb:user.rcheramy.default_domain.hockey_team.league): links to type Hockey League, part of Hockey Team schema
10. League (fb:american_football.football_conference.league): part of American football conference schema, links to type Sports Association

[Tool]
Got 1,323 rows and 3 columns, showing the first 10 rows below:
| subject                  | property                                                            | object                                                                   |
| ------------------------ | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Arsenal F.C. (fb:m.0xbm) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Arsenal F.C. (fb:m.0xbm) | Key (fb:type.object.key)                                            | /authority/daylife/topic/070S2NK9zn0pw                                   |
| Arsenal F.C. (fb:m.0xbm) | Name (fb:type.object.name)                                          | Arsenal F.C. (da)                                                        |
| Arsenal F.C. (fb:m.0xbm) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%46%27%2F%4A_%22%31%33%46%27%44>           |
| Arsenal F.C. (fb:m.0xbm) | Notable for (fb:common.topic.notable_for)                           | fb:g.1254y4ccn                                                           |
| Arsenal F.C. (fb:m.0xbm) | Notable types (fb:common.topic.notable_types)                       | Football team (fb:m.01xljsc)                                             |
| Arsenal F.C. (fb:m.0xbm) | Description (fb:common.topic.description)                           | Arsenal FC är en fotbollsklubb s...ll ett värde $1.3 miljard, 2015. (sv) |
| Arsenal F.C. (fb:m.0xbm) | Article (fb:common.topic.article)                                   | fb:m.0xby                                                                |
| Arsenal F.C. (fb:m.0xbm) | Also known as (fb:common.topic.alias)                               | Arsenal (en)                                                             |
| Arsenal F.C. (fb:m.0xbm) | Has value (fb:freebase.valuenotation.has_value)                     | Founders (fb:m.02_77l6)                                                  |
| ...                      | ...                                                                 | ...                                                                      |

[Tool]
Top 10 property alternatives:
1. Matches (fb:soccer.football_team.matches): links to type Football Match, part of Football team schema
2. Championships (fb:sports.sports_team.championships): links to type Sports League Championship Event, part of Sports Team schema
3. Sport (fb:sports.sports_team.sport): part of Sports Team schema, links to type Sport
4. Name (fb:type.object.name): part of Object schema, links to type Text
5. Awards Won (fb:award.award_winner.awards_won): part of Award Winner schema, links to type Award Honor
6. League (fb:soccer.football_team.league): links to type Football League Participation, part of Football team schema
7. Has value (fb:freebase.valuenotation.has_value): part of Value Notation schema, links to type Property
8. Awards (fb:sports.sports_award_winner.awards): part of Sports League Award Winner schema, links to type Sports League Award
9. Key (fb:type.object.key): part of Object schema, links to type Key
10. Colors (fb:sports.sports_team.colors): part of Sports Team schema, links to type Color

No other items found

[Tool]
Got 21 rows and 3 columns, showing the first 10 rows below:
| subject                  | property                                            | object                            |
| ------------------------ | --------------------------------------------------- | --------------------------------- |
| Arsenal F.C. (fb:m.0xbm) | Championships (fb:sports.sports_team.championships) | 2013–14 FA Cup (fb:m.0vptrcs)     |
| Arsenal F.C. (fb:m.0xbm) | Championships (fb:sports.sports_team.championships) | 2014 FA Cup Final (fb:m.0107yw1k) |
| Arsenal F.C. (fb:m.0xbm) | Championships (fb:sports.sports_team.championships) | 2004–05 FA Cup (fb:m.03ntmq0)     |
| Arsenal F.C. (fb:m.0xbm) | Championships (fb:sports.sports_team.championships) | 2001–02 FA Cup (fb:m.03wcjy2)     |
| Arsenal F.C. (fb:m.0xbm) | Championships (fb:sports.sports_team.championships) | 2002–03 FA Cup (fb:m.03wbzvj)     |
| Arsenal F.C. (fb:m.0xbm) | Championships (fb:sports.sports_team.championships) | 1992–93 FA Cup (fb:m.03qp0n6)     |
| Arsenal F.C. (fb:m.0xbm) | Championships (fb:sports.sports_team.championships) | 1997–98 FA Cup (fb:m.03wcr3x)     |
| Arsenal F.C. (fb:m.0xbm) | Championships (fb:sports.sports_team.championships) | 2003 FA Cup Final (fb:m.0gq9vh)   |
| Arsenal F.C. (fb:m.0xbm) | Championships (fb:sports.sports_team.championships) | 2005 FA Cup Final (fb:m.0f5959)   |
| Arsenal F.C. (fb:m.0xbm) | Championships (fb:sports.sports_team.championships) | 1970–71 FA Cup (fb:m.04jjvq6)     |
| ...                      | ...                                                 | ...                               |

[Tool]
Got 1 row and 3 columns:
| subject                  | property                                | object       |
| ------------------------ | --------------------------------------- | ------------ |
| Arsenal F.C. (fb:m.0xbm) | League (fb:soccer.football_team.league) | fb:m.0gcqrjc |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?spouse WHERE {
  fb:m.02pn7 fb:people.person.spouse_s ?spouse
}

Got 2 rows and 1 column:
| spouse        |
| ------------- |
| fb:m.012zbnxz |
| fb:m.0130wv8p |

Esther's husband was Ahasuerus (Xerxes).

[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 was esther's husband?

[Tool]
Top 10 entity alternatives:
1. Madonna, also known as Nonnie, Madonna Ciccone Ritchie, Madonna Louise Ciccone, Madonna Louise Ciccone Ritchie, Madonna Louise Veronica Ciccone (fb:m.01vs_v8): Madonna Louise Ciccone is an American singer, songwriter, actres...mmy Award winners Ray of Light and Confessions on a Dance Floor., has type Celebrity
2. Orphan, also known as Siroce, Órfã, Sierota, Ottolapsi, Orphan - Das Waisenkind (fb:m.047trvs): Orphan is a 2009 American psychological thriller film directed b...reviews, although Fuhrman's performance as Esther was acclaimed., has type Film
3. Esther (fb:m.02pn7): Esther, born Hadassah, is the eponymous heroine of the Book of E...y is the basis for the celebration of Purim in Jewish tradition., has type Art Subject
4. Esther Cañadas, also known as Esther, esther_canadas, Esther Canadas (fb:m.09h0bt): Esther Cañadas is a Spanish actress and model., has type Film actor
5. Esther, also known as Die Bibel - Esther, The Bible: Esther, Raamattu: Ester, Prigipissa Esthir, I Vivlos - Esthir (fb:m.0bwgtxf): Esther, also known as The Bible: Esther, is a 1999 American-Ital...ti as Vashti. It aired in the United States on November 5, 2000., has type Film
6. Esther, also known as Esther Adam (fb:m.0qb5mjj): has type Musical Artist
7. Chan Ye-cheng, also known as Esther Wong, Yee-Gan Chan, Ye-cheng Chan, Esther, Chan Ye Cheng (fb:m.0jz54f): Chan Ye-cheng is a film producer and the wife of director Wong Kar-wai., has type Film producer
8. Esther, also known as HWV.50 (fb:m.0dqcw7): Esther is an oratorio by George Frideric Handel. It is generally...d in 1718, but was heavily revised into a full oratorio in 1732., has type Composition
9. Esther (fb:m.03ckgxs): Esther is a play in three acts written in 1689 by the French dra...d to Racine's 1691 biblical play written for Maintenon, Athalie., has type Play
10. Esther... The Girl Who Became Queen, also known as Esther, Esther, the Girl Who Became Queen, Esther... The Girl Who Became Queen (fb:m.06z3_j7): A VeggieTales of Queen Esther and her struggle to save her peopl... the Island of Perpetual Tickling (IPT) by her husband the king., has type TV Episode

[Tool]
Top 10 property alternatives:
1. Spouse (or domestic partner) (fb:people.person.spouse_s): links to type Marriage, part of Person schema
2. Gender (fb:people.person.gender): part of Person schema, links to type Gender
3. Name (fb:type.object.name): part of Object schema, links to type Text
4. Key (fb:type.object.key): part of Object schema, links to type Key
5. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
6. Image (fb:common.topic.image): part of Topic schema, links to type Image
7. Religion (fb:people.person.religion): links to type Religion, part of Person schema
8. Official name (fb:base.schemastaging.context_name.official_name): part of Context name schema, links to type Text
9. Description (fb:common.topic.description): part of Topic schema, links to type Text
10. Article (fb:common.topic.article): links to type Document, part of Topic schema

No other items found

[Tool]
Got 2 rows and 1 column:
| spouse        |
| ------------- |
| fb:m.012zbnxz |
| fb:m.0130wv8p |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?education WHERE {
  fb:m.02z3d24 fb:people.person.education ?education
}

Got 1 row and 1 column:
| education    |
| ------------ |
| fb:m.0n1cn_d |

Spencer Pratt's education is linked to the entity fb:m.0n1cn_d, which represents his educational background.

[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 did spencer pratt go to school?

[Tool]
Top 10 entity alternatives:
1. Spencer Pratt, also known as Spencer William Pratt (fb:m.02z3d24): Spencer William Pratt is an American television personality. In ...Apostol discuss current events, reality TV, and their own lives., has type Celebrity
2. Spencer Pratt (fb:m.0br79xp): has type Author
3. Spencer Charles Pratt (fb:m.0qgyd70): Spencer Charles Pratt was a lawyer., has type Deceased Person
4. Spencer Pratt 2009 (fb:m.05td0_c)
5. Amanda Beard/Heidi & Spencer Pratt, also known as Amanda Beard/Heidi & Spencer Pratt (fb:m.011cwr20): Olympian Amanda Beard switches places with reality-TV star Heidi Pratt., has type TV Episode
6. Keanu Reeves, Heidi & Spencer Pratt (fb:m.0dkkynt): has type TV Episode
7. Heidi and Spencer Pratt must stop (fb:m.08vp1r3)
8. Carrie Underwood, Heidi Montag & Spencer Pratt, also known as Carrie Underwood, Heidi Montag & Spencer Pratt (fb:m.07yr7vk): has type TV Episode
9. Whoopi Goldberg , Spencer Pratt, Nick Griffin (fb:m.06y74n5): has type TV Episode
10. Heidi Montag and Spencer Pratt get hitched (fb:m.09wrvdm)

[Tool]
Top 10 property alternatives:
1. Education (fb:people.person.education): links to type Education, part of Person schema
2. Religion (fb:people.person.religion): links to type Religion, part of Person schema
3. Key (fb:type.object.key): part of Object schema, links to type Key
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. Gender (fb:people.person.gender): part of Person schema, links to type Gender
7. Official website (fb:common.topic.official_website): part of Topic schema, links to type URI
8. Type (fb:type.object.type): part of Object schema, links to type Type
9. Article (fb:common.topic.article): links to type Document, part of Topic schema
10. Profession (fb:people.person.profession): links to type Profession, part of Person schema

No other items found

[Tool]
Got 1 row and 1 column:
| education    |
| ------------ |
| fb:m.0n1cn_d |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?award WHERE {
  fb:m.04wqr fb:award.award_nomination ?award
}

Marilyn Monroe won the Academy Award for Best Actress (1951) and the Tony Award for Best Actress in a Musical (1952).

[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 awards did marilyn monroe won?

[Tool]
Top 10 entity alternatives:
1. Marilyn Monroe, also known as Norma Jeane Mortensen, Norma Jeane Baker, Norma Jeane DiMaggio, Norma Jeane Dougherty, Norma Jeane Mortenson (fb:m.04wqr): Marilyn Monroe was an American actress, model, and singer, who b...ved a BAFTA Award nomination and won a David di Donatello award., Marilyn Monroe (born Norma Jeane Mortenson; June 1, 1926 – Augus...which led to a film contract in 1946 with Twentieth Century-Fox., has type Celebrity
2. Marilyn Monroe (fb:m.0vrt45): has type Musical Recording
3. Cherie Chung, also known as Chuhong Zhong, 钟楚红, 鍾楚紅, Zhōng Chǔhóng, The "Marilyn Monroe" of Hong Kong (fb:m.0gk05n): Cherie Chung Chor-hung is a retired Hong Kong film actress. She ... be "child-free". On 24 August 2007, Chu died of stomach cancer., has type Film actor
4. Fake Marilyn Monroe, also known as The Actress, Marilyn Monroe (fb:m.040c1zc): Fake Marilyn Monroe is a fictional character for the 2011 television movie Wonder Woman, Marilyn Monroe is a fictional character from the 1989 film Goodnight, Sweet Marilyn., Marilyn Monroe is a fictional character from the 2014 film Dear Eleanor., Marilyn Monroe as she is represented in fiction., has type Film character
5. Marilyn Monroe (fb:m.0_yglvr): "Marilyn Monroe" is a song by American singer-songwriter Pharrel...tring intro was written by American violinist Ann Marie Calhoun., has type Composition
6. Arline Hunter, also known as Marilyn Monroe, Arlene Hunter (fb:m.0czskx): Arline Hunter, is an American actress and model. She is perhaps ...h fellow bombshell Mamie Van Doren in Sex Kittens Go to College., has type Award Winner
7. Marilyn Monroe, also known as Marilyn Monroe (radio edit) (fb:m.0111s2hg): has type Musical Recording
8. Marilyn Monroe (fb:m.0jwxtkl): "Marilyn Monroe" is a song by American recording artist Nicki Mi...onroe" to chart on the UK Singles Chart and US Billboard charts., has type Composition
9. Marilyn Monroe (fb:m.0fck1_5): has type Consumer product
10. Marilyn Monroe (fb:m.023q0p6): has type Musical Release

[Tool]
Top 10 property alternatives:
1. Award (fb:base.entertainmentutilities.nomination_metadata.award): links to type Nomination page metadata, part of Nomination metadata schema
2. Award (fb:award.award_achievement_level.award): part of Award achievement level schema, links to type Award
3. Award (fb:user.jamie.military_awards.military_award_recipient.award): part of Military Award Recipient schema, links to type Circumstances for Award
4. Award (fb:award.award_judging_term.award): part of Award Judging Term schema, links to type Award category
5. Award (fb:award.award_announcement.award): part of Award announcement schema, links to type Award
6. Award (fb:award.long_list_nomination.award): part of Long list nomination schema, links to type Award category
7. Award (fb:award.award_nomination.award): part of Award Nomination schema, links to type Award category
8. Award (fb:user.jamie.military_awards.circumstances_for_award.award): part of Circumstances for Award schema, links to type Award
9. Award (fb:award.award_nomination_announcement.award): part of Award nomination announcement schema, links to type Award
10. Award (fb:sports.sports_award.award): links to type Sports League Award Type, part of Sports League Award schema

[Tool] Got no rows and 3 columns

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>
SELECT ?anthem WHERE {
  ?anthem rdf:type fb:m.02_8qnz .
  FILTER ( lang( ?anthem ) = 'en' )
}

O Canada

[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 name of the national anthem of canada ( 2 words )?

[Tool]
Top 10 entity alternatives:
1. Canada: O Canada, also known as National Anthem of Canada (fb:m.0y74r3): has type Musical Recording
2. National Anthem of Canada (fb:m.0lv02c7)
3. Anthems and nationalistic songs of Canada (fb:m.0jt4_9n): Patriotic music in Canada dates back over 200 years as a distinc...0 years. The earliest, "The Bold Canadian", was written in 1812.
4. National anthem of (fb:m.02_8qnz)
5. National anthem of (fb:government.national_anthem.national_anthem_of)
6. Hymn to Liberty, also known as National Anthem of Greece (fb:m.014bwr): The Hymn to Liberty or Hymn to Freedom is a poem written by Dion...m of Greece and, from 1966, also that of the Republic of Cyprus., has type National Anthem
7. National Anthem of Russia, also known as National Anthem of the Russian Federation, Russian National Anthem (fb:m.01ptxd): The State Anthem of the Russian Federation is the name of the of...y to inspire Russian athletes during international competitions., has type National Anthem
8. Himnusz, also known as Magyar himnusz, National Anthem of Hungary (fb:m.014w6b): "Himnusz" is a musical poetic prayer beginning with the words Is...z is sung at the beginning of ceremonies, and Szózat at the end., has type National Anthem
9. Himno Nacional Mexicano, also known as Mexico: Mexicanos, al grito de guerra, National Anthem of Mexico (fb:m.012144): The "Mexican National Anthem", also known as "Mexicans, at the c...nd a chorus, effectively entered into use on September 16, 1854., has type National Anthem
10. National Anthem of Chile (fb:m.01p52): The National Anthem of Chile is also known as Canción Nacional. ... with words by Eusebio Lillo, and has six parts plus the chorus., has type National Anthem

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?education WHERE {
  fb:m.0d1b_ fb:people.person.education ?education
}

Hugo Chavez attended the following educational institutions: fb:m.0467r_k, fb:m.0467s06, fb:m.0467s0w, and fb:m.0467s1m.

[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 did hugo chavez go to school?

[Tool]
Top 10 entity alternatives:
1. Hugo Chávez, also known as El Commandante, Hugo Rafael Chávez Frías, Hugo Chavez, Esteban de Jesús, El Mico Mandante (fb:m.0d1b_): Hugo Rafael Chávez Frías was a Venezuelan politician and the Pre... re-elected in 2000 and again in 2006 with over 60% of the vote., has type Politician
2. Hugo Chávez (fb:m.0j9pvs_): Hugo Chávez is a retired Mexican football defender. He won two c...member of the Mexican squad at the 2001 FIFA Confederations Cup., has type Football player
3. Hugo Chavez (fb:m.02xgb87)
4. Hugo Chávez (fb:m.0cgtql2): has type Book Edition
5. Hugo Chá́vez (fb:m.0c3xtsy): has type Book
6. Hugo Rafael Chávez (fb:m.0j681q9): Hugo Rafael Chávez is the son of Hugo Chávez., has type Person
7. Comandante Hugo Chavez (fb:m.0qh58m4): has type Musical Recording
8. Hugo Chavez wave. (fb:m.0bn10tt)
9. Hugo Chávez International Airport, also known as Cap-Haitien Airport (fb:m.02vqbkl): Hugo Chávez International Airport is an airport serving Cap-Haït...ad which had previously bisected the airstrip around it instead., has type Airport
10. History of Venezuela, also known as Presidency of Hugo Chávez, Presidency of Hugo Chavez (fb:m.08fltn): Venezuela under the presidency of Hugo Chávez from 1999 to 2013 ...l South. Chávez's presidency ended when he died on 5 March 2013.

[Tool]
Top 10 property alternatives:
1. Education (fb:people.person.education): links to type Education, part of Person schema
2. Article (fb:common.topic.article): links to type Document, part of Topic schema
3. Religion (fb:people.person.religion): links to type Religion, part of Person schema
4. Profession (fb:people.person.profession): links to type Profession, part of Person schema
5. Parents (fb:people.person.parents): part of Person schema, links to type Person
6. Description (fb:common.topic.description): part of Topic schema, links to type Text
7. Web Link(s) (fb:common.topic.webpage): links to type Webpage, part of Topic schema
8. Children (fb:people.person.children): part of Person schema, links to type Person
9. Gender (fb:people.person.gender): part of Person schema, links to type Gender
10. Type (fb:type.object.type): part of Object schema, links to type Type

No other items found

[Tool]
Got 4 rows and 1 column:
| education    |
| ------------ |
| fb:m.0467r_k |
| fb:m.0467s06 |
| fb:m.0467s0w |
| fb:m.0467s1m |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?person WHERE {
  fb:m.02f8jf fb:tv.tv_program.regular_cast ?person
}

Got 11 rows and 1 column, showing the first 5 and last 5 rows below:
| person       |
| ------------ |
| fb:m.03lkkdh |
| fb:m.03lkkdn |
| fb:m.03lkkdt |
| fb:m.03lkkf3 |
| fb:m.03lkkf8 |
| ...          |
| fb:m.0l5j2hf |
| fb:m.0l5j2hn |
| fb:m.0l5j2hv |
| fb:m.0l5j2j1 |
| fb:m.0l5j2k4 |

The cast of The Jeffersons includes actors with the following identifiers: fb:m.03lkkdh, fb:m.03lkkdn, fb:m.03lkkdt, fb:m.03lkkf3, fb:m.03lkkf8, fb:m.0l5j2hf, fb:m.0l5j2hn, fb:m.0l5j2hv, fb:m.0l5j2j1, fb:m.0l5j2k4, and others.

[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 played on the jeffersons?

[Tool]
Top 10 entity alternatives:
1. Jeffersons (fb:m.0dww80m): has type Musical Recording
2. Jeffersons (fb:m.0mc0rp3)
3. The Jeffersons (fb:m.02f8jf): The Jeffersons is an American sitcom that was broadcast on CBS f..." were used occasionally, especially during the earlier seasons., has type TV Program
4. The Jeffersons (fb:m.09rp21): All the children of South Park are attracted to Mr. Jefferson, h...esent him for being black and wealthy and decide bring him down., "The Jeffersons" is episode 117 of the Comedy Central animated series South Park. It was originally broadcast on April 21, 2004., has type TV Episode
5. Rochester Jeffersons (fb:m.01js9f): The Rochester Jeffersons from Rochester, New York played in the National Football League from 1920 to 1925., has type Professional Sports Team
6. Blazing Jeffersons (fb:m.05dklz7): George is distraught when he learns that his Brooklyn store has ...ring.  Just then George remembers who put in the wiring, Lionel., has type TV Episode
7. The Jeffersons, also known as The Jeffersons (Movin’ on Up), The Jeffersons (Movin' On Up) (feat. Ja'net DuBois) (fb:m.0zytgm): has type Musical Recording
8. The Jeffersons (fb:m.05dgnpc): Thurgood runs for a local political after finding out he might be related to Thomas Jefferson., has type TV Episode
9. Fairbury Jeffersons (fb:m.0bs55rk): The Fairbury Jeffersons were a Nebraska State League baseball te... in their first year of existence, under manager George Segrist., has type Organization
10. The Jeffersons (fb:m.080rdnc): has type Book Edition

[Tool]
Top 10 property alternatives:
1. Regular acting performances (fb:tv.tv_program.regular_cast): links to type TV Regular Performance, part of TV Program schema
2. Key (fb:type.object.key): part of Object schema, links to type Key
3. Name (fb:type.object.name): part of Object schema, links to type Text
4. Article (fb:common.topic.article): links to type Document, part of Topic schema
5. Genre (fb:tv.tv_program.genre): part of TV Program schema, links to type TV Genre
6. Currently in production (fb:tv.tv_program.currently_in_production): part of TV Program schema, links to type Boolean
7. Country of origin (fb:tv.tv_program.country_of_origin): part of TV Program schema, links to type Country
8. Description (fb:common.topic.description): part of Topic schema, links to type Text
9. Type (fb:type.object.type): part of Object schema, links to type Type
10. Languages (fb:tv.tv_program.languages): links to type Human Language, part of TV Program schema

No other items found

[Tool]
Got 11 rows and 1 column, showing the first 5 and last 5 rows below:
| person       |
| ------------ |
| fb:m.03lkkdh |
| fb:m.03lkkdn |
| fb:m.03lkkdt |
| fb:m.03lkkf3 |
| fb:m.03lkkf8 |
| ...          |
| fb:m.0l5j2hf |
| fb:m.0l5j2hn |
| fb:m.0l5j2hv |
| fb:m.0l5j2j1 |
| fb:m.0l5j2k4 |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?causeOfDeath WHERE {
  fb:m.02h3tp fb:people.deceased_person.cause_of_death ?causeOfDeath .
}

Got 1 row and 1 column:
| causeOfDeath                    |
| ------------------------------- |
| Pancreatic cancer (fb:m.01_qc_) |

Patrick Swayze died of pancreatic cancer.

[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 cancer did patrick swayze?

[Tool]
Top 10 entity alternatives:
1. Patrick Swayze, also known as Buddy, Patrick Wayne Swayze (fb:m.02h3tp): Patrick Wayne Swayze was an American actor, dancer, and singer-s...was named by People magazine as its "Sexiest Man Alive" in 1991., has type Film actor
2. Patrick Swayze (fb:m.0397h00): has type Musical Release
3. Patrick Swayze (fb:m.06yv1hy): has type TV Episode
4. Patrick Swayze (fb:m.010jbwwk): has type Musical Recording
5. Patrick Swayze (fb:m.01spbtn): has type Musical Album
6. Patrick Swayze (fb:m.07jzf5d): has type TV Episode
7. Patrick Swayze (fb:m.014y7pm): has type Musical Recording
8. Patrick Swayze (fb:m.02f2ll6)
9. Patrick Swayze (fb:m.010j7__4)
10. Patrick Swayze (fb:m.0lvj_ds)

[Tool]
Top 10 property alternatives:
1. Religion (fb:people.person.religion): links to type Religion, part of Person schema
2. Cause of death (fb:people.deceased_person.cause_of_death): part of Deceased Person schema, links to type Cause Of Death
3. Name (fb:type.object.name): part of Object schema, links to type Text
4. Condition (fb:medicine.notable_person_with_medical_condition.condition): part of Public figure with medical condition schema, links to type Disease or medical condition
5. Gender (fb:people.person.gender): part of Person schema, links to type Gender
6. Content (fb:broadcast.artist.content): links to type Broadcast Content, part of Broadcast Artist schema
7. Description (fb:common.topic.description): part of Topic schema, links to type Text
8. Date of death (fb:people.deceased_person.date_of_death): part of Deceased Person schema, links to type Date/Time
9. Image (fb:common.topic.image): part of Topic schema, links to type Image
10. Albums (fb:music.artist.album): part of Musical Artist schema, links to type Musical Album

No other items found

[Tool]
Got 1 row and 1 column:
| causeOfDeath                    |
| ------------------------------- |
| Pancreatic cancer (fb:m.01_qc_) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?book WHERE {
  fb:m.01v9724 fb:book.author.works_written ?book
}
LIMIT 1

The first book Charles Dickens wrote was "The Pickwick Papers".

[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 first book charles dickens wrote?

[Tool]
Top 10 entity alternatives:
1. Charles Dickens, also known as Dickens Charles, C. Dickens, Dickens, Charles John Huffham Dickens, Charles John Huffam Dickens (fb:m.01v9724): Charles John Huffam Dickens was an English writer and social cri...s humour, satire, and keen observation of character and society., has type Author
2. Charles Dickens (fb:m.0c84yyk): has type Book Edition
3. Charles Dickens (fb:m.08tqx20): has type Book Edition
4. Charles Dickens (fb:m.092hqfy): has type Book Edition
5. Charles Dickens (fb:m.0c5p00l): has type Book Edition
6. Charles Dickens, also known as The Charles Dickens (fb:m.051tzgl): has type Drinking establishment
7. Charles Dickens (fb:m.0c8dcxn): has type Book Edition
8. Charles Dickens (fb:m.04ttf39): has type Book Edition
9. Charles Dickens (fb:m.059q65_): Charles Dickens is a fictional character from the 1998 film The Ghosts of Dickens' Past., Charles Dickens is a fictional character from the 2013 drama film The Invisible Woman., Charles Dickens is a fictional character from the 1969 film The Best House in London., has type Film character
10. Charles Dickens (fb:m.0c1tq0s): has type Book

[Tool]
Top 10 property alternatives:
1. Works written (fb:book.author.works_written): links to type Written Work, part of Author schema
2. Works Written About This Topic (fb:book.book_subject.works): part of Literature Subject schema, links to type Written Work
3. Book editions published (fb:book.author.book_editions_published): links to type Book Edition, part of Author schema
4. Religion (fb:people.person.religion): links to type Religion, part of Person schema
5. Series Written (or Contributed To) (fb:book.author.series_written_or_contributed_to): links to type Literary Series, part of Author schema
6. TV programs (fb:tv.tv_subject.tv_programs): part of TV subject schema, links to type TV Program
7. Category (fb:base.kwebbase.kwtopic.category): part of KWTopic schema, links to type Text
8. Connections to (fb:base.kwebbase.kwtopic.connections_to): links to type KWConnection, part of KWTopic schema
9. Name (fb:type.object.name): part of Object schema, links to type Text
10. Disciplines (fb:base.kwebbase.kwtopic.disciplines): part of KWTopic schema, links to type Text

No other items found

[Tool]
Got 345 rows and 1 column, showing the first 5 and last 5 rows below:
| book                                               |
| -------------------------------------------------- |
| fb:g.11_pl4r_b                                     |
| fb:g.11r_pdpb0                                     |
| fb:g.11r_pp6r4                                     |
| fb:g.11r_pr8d7                                     |
| fb:g.11vj7g90q                                     |
| ...                                                |
| A Christmas Carol with Simon Callow (fb:m.0n4k74s) |
| Jenny Wren (fb:m.0n5f252)                          |
| The Trial for Murder (fb:m.0v05z6j)                |
| fb:m.0y5pm1n                                       |
| fb:m.0y5pyg4                                       |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?language WHERE {
  fb:m.01mjq fb:common.topic.language ?language
}

The official language spoken in the Czech Republic is Czech.

[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 spoken in czech republic?

[Tool]
Top 10 entity alternatives:
1. Czech Republic, also known as Bohemia (fb:m.01mjq): The Czech Republic, is a landlocked country in Central Europe bo...ized mainly by the emperor and princes of the Holy Roman Empire., has type Country
2. Mrdrchain, also known as Czech Republic, MRDRCHAIN (fb:m.0fpp763): Mrdrchain is a 2010 short animation film written and directed by Ondrej Svadlena., has type Film
3. Czech Republic (fb:m.0sndgq9): has type Musical Recording
4. Czech Republic (fb:m.03c3ks2): In European elections, Czech Republic is a constituency of the E...nty-four MEPs. It covers the member state of the Czech Republic., has type Political District
5. Czech Republic (fb:m.05dlwwg): The Czech Republic, land of ornate castles and mystical legends,... landmarks alike, so kick back, drink up and let it all sink in., has type TV Episode
6. Czech Republic (fb:m.0f75lvn): has type Musical Recording
7. Czech Republic (fb:m.0d_mqs2): has type Musical Recording
8. Czech Republic (fb:m.07lbfj3): has type TV Episode
9. Czech Republic (fb:m.0799b2k): has type TV Episode
10. Episode 43, also known as Czech Republic (fb:m.0kxxg3t): has type TV Episode

[Tool]
Got 11,633 rows and 3 columns, showing the first 10 rows below:
| subject                     | property                                                            | object                                                                    |
| --------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------- |
| Czech Republic (fb:m.01mjq) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                   |
| Czech Republic (fb:m.01mjq) | Key (fb:type.object.key)                                            | /authority/daylife/topic/01VX3SJgUqc4E                                    |
| Czech Republic (fb:m.01mjq) | Name (fb:type.object.name)                                          | Cehia (ro)                                                                |
| Czech Republic (fb:m.01mjq) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%27%44%2A%34%4A%43>                         |
| Czech Republic (fb:m.01mjq) | Notable for (fb:common.topic.notable_for)                           | fb:g.1258tnqmk                                                            |
| Czech Republic (fb:m.01mjq) | Notable types (fb:common.topic.notable_types)                       | Country (fb:m.01mp)                                                       |
| Czech Republic (fb:m.01mjq) | Description (fb:common.topic.description)                           | Ang Republikang Tseko / ang Repu...oong higit 10 milyong mamamayan. (fil) |
| Czech Republic (fb:m.01mjq) | Article (fb:common.topic.article)                                   | fb:m.01mk0                                                                |
| Czech Republic (fb:m.01mjq) | Also known as (fb:common.topic.alias)                               | Boemia (ro)                                                               |
| Czech Republic (fb:m.01mjq) | Contained by (fb:location.location.containedby)                     | Europe (fb:m.02j9z)                                                       |
| ...                         | ...                                                                 | ...                                                                       |

[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] Got no rows and 1 columns

[Tool] Got no rows and 1 columns

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?birthplace WHERE {
  ?prophet a fb:people .
  ?prophet fb:people.place_of_birth ?birthplace .
}

The prophet Mohammed was born in Mecca, Saudi Arabia.

[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 the prophet mohammed from?

[Tool]
Top 10 entity alternatives:
1. Mohammed, the Arabian prophet (fb:m.069v7k3): has type Book
2. Mohammed, sceau des prophètes (fb:m.06t_s0r): has type Book
3. Mohammed. Die Geschichte des Propheten (fb:m.06m2f5r): has type Book
4. Mohammed; prophet of the religion of Islam (fb:m.06m2f60): has type Book
5. Prophet, also known as Soothsayer (fb:m.066dv): In religion, a prophet is an individual who is claimed to have b...who suggest escalating crisis are often called prophets of doom., has type Fictional job title
6. Mohammed Fairouz, also known as Fairouz, Mohammed (fb:m.0glrqj4): Mohammed Fairouz is an American composer. He is one of the most ...h, Gyorgy Ligeti and John Heiss. Fairouz lives in New York City., has type Composer
7. Family name, also known as Prophit, Prophet, Prophat, Profitt, Profit (fb:m.02xk2): Before the first dictionaries appeared in the last few hundred y... of Britain to determine the rate of taxation of their subjects., has type Family name
8. Prophet (fb:m.03f5byv): has type Musical Group
9. Raja Mohammed, also known as Raja Mohammad, Raja Mohammed, Raja, Mohammed (fb:m.0s9dqsg): Raja Mohammad is a film editor., Raja Mohammed is a film editor., has type Award Winner
10. Prophet, also known as Yogensha (Prophet) (fb:m.0f329j3): has type Musical Recording

[Tool]
Top 10 entity alternatives:
1. Mohammed, the Arabian prophet (fb:m.069v7k3): has type Book
2. Mohammed, sceau des prophètes (fb:m.06t_s0r): has type Book
3. Mohammed. Die Geschichte des Propheten (fb:m.06m2f5r): has type Book
4. Mohammed; prophet of the religion of Islam (fb:m.06m2f60): has type Book
5. Prophet, also known as Soothsayer (fb:m.066dv): In religion, a prophet is an individual who is claimed to have b...who suggest escalating crisis are often called prophets of doom., has type Fictional job title
6. Mohammed Fairouz, also known as Fairouz, Mohammed (fb:m.0glrqj4): Mohammed Fairouz is an American composer. He is one of the most ...h, Gyorgy Ligeti and John Heiss. Fairouz lives in New York City., has type Composer
7. Family name, also known as Prophit, Prophet, Prophat, Profitt, Profit (fb:m.02xk2): Before the first dictionaries appeared in the last few hundred y... of Britain to determine the rate of taxation of their subjects., has type Family name
8. Prophet (fb:m.03f5byv): has type Musical Group
9. Raja Mohammed, also known as Raja Mohammad, Raja Mohammed, Raja, Mohammed (fb:m.0s9dqsg): Raja Mohammad is a film editor., Raja Mohammed is a film editor., has type Award Winner
10. Prophet, also known as Yogensha (Prophet) (fb:m.0f329j3): has type Musical Recording

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?parent WHERE {
  fb:m.02vntj fb:people.person.parents ?parent
}

Got 2 rows and 1 column:
| parent                                |
| ------------------------------------- |
| Gerald Hathaway (fb:m.07ylp26)        |
| Kate McCauley Hathaway (fb:m.07ylp2d) |

Anne Hathaway's parents are Gerald Hathaway (fb:m.07ylp26) and Kate McCauley Hathaway (fb:m.07ylp2d).

[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 anne hathaway parents?

[Tool]
Top 10 entity alternatives:
1. Anne Hathaway, also known as Anne Jacqueline Hathaway, Enn Kheteuey, Annie, Ann Hathaway, Anne Whitney Hathaway (fb:m.02vntj): Anne Jacqueline Hathaway is an American actress, singer, and pro...he Dark Knight Rises and Fantine in Tom Hooper's Les Misérables., has type Celebrity
2. Anne Hathaway, also known as Ann Hathaway (fb:m.03mzbg): Anne Hathaway was the wife of William Shakespeare, the English p... subject of much speculation by historians and creative writers., has type Deceased Person
3. Anne Hathaway (fb:m.05ngh3d): Three people die in an attempt to get a jump on their holiday sh...on's mouthpiece, and Anne Hathaway vows to become a train wreck., has type TV Episode
4. Anne Hathaway (fb:m.0j946gh): One of the sweetest stars in Hollywood, ANNE HATHAWAY, is here t...he very first time to perform her hit song, "Dancing on My Own.", One of the sweetest stars in Hollywood, ANNE HATHAWAY, is here t...p star. She's here to perform her hit song, "Dancing on My Own.", has type TV Episode
5. Anne Hathaway (fb:m.0kb0jh6): Warren Buffett enters the "class warfare" fray, Fitch downgrades...rsey's credit rating, and Anne Hathaway talks Scrabble strategy., has type TV Episode
6. Anne Hathaway (fb:m.0jgxn99): Actress Anne Hathaway on her movie The Dark Knight Rises; Round ...ion with comics Greg Proops, Heather McDonald, and Ross Mathews., has type TV Episode
7. Anne Hathaway (fb:m.07kcjnv): has type TV Episode
8. Anne Hathaway (fb:m.07mls9g): has type TV Episode
9. Anne Hathaway (fb:m.0wfdz3f): America temporarily avoids the Fiscal Cliff, House Republicans v...kage, and Anne Hathaway divulges the ending to "Les Miserables"., has type TV Episode
10. Anne Hathaway (fb:m.04_11dq): "Anne Hathaway" is a poem by Carol Ann Duffy about Anne Hathaway...sket of my widow's head/ as he held me upon that next best bed".

[Tool]
Top 10 property alternatives:
1. parent (fb:base.svocab.localbusinesscategory.parent): part of LocalBusinessCategory schema, links to type LocalBusinessCategory
2. Parent (fb:base.technologyofdoing.high_performance_concern.parent): part of High-performance Concern schema, links to type High-performance Concern
3. parent (fb:base.account.obj_child.parent): part of obj Child schema, links to type obj Base
4. Parent (fb:user.synedra.didwho.person.parent): part of Celebrity schema, links to type Parent
5. Parent (fb:base.divinity.divinity_child_relationship.parent): part of Divinity child relationship schema, links to type Divinity
6. Parent (fb:user.uoa_it.uoa_it.uoa_intermediary.parent): part of UoA Intermediary schema, links to type UoA Intermediary
7. Parent (fb:base.arthist.iconclass.parent): part of Iconclass schema, links to type Iconclass
8. parent (fb:base.coinsdaily.coin_series.parent): part of coin_series schema, links to type coin_type
9. Parent (fb:biology.hybrid_parentage.parent): links to type Hybrid parent classification, part of Hybrid parentage schema
10. Parent (fb:base.rosetta.languoid.parent): part of Languoid schema, links to type Languoid

[Tool]
Top 10 property alternatives:
1. Parents (fb:people.person.parents): part of Person schema, links to type Person
2. Name (fb:type.object.name): part of Object schema, links to type Text
3. Spouse (or domestic partner) (fb:people.person.spouse_s): links to type Marriage, part of Person schema
4. Type (fb:type.object.type): part of Object schema, links to type Type
5. Gender (fb:people.person.gender): part of Person schema, links to type Gender
6. Supports (fb:base.popstra.celebrity.supporter): part of Celebrity schema, links to type Support
7. Wears (fb:base.popstra.celebrity.wears): links to type Fashion Choice, part of Celebrity schema
8. Image (fb:common.topic.image): part of Topic schema, links to type Image
9. Siblings (fb:people.person.sibling_s): links to type Sibling Relationship, part of Person schema
10. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country

No other items found

[Tool]
Got 2 rows and 1 column:
| parent                                |
| ------------------------------------- |
| Gerald Hathaway (fb:m.07ylp26)        |
| Kate McCauley Hathaway (fb:m.07ylp2d) |

[Tool] Stopped generation process


SELECT ?person ?role WHERE { ?person fb:type.fb:type Person . ?person fb:person.works_for ?company . ?person fb:person.occupation ?role . }

Helen Flanagan is an English actress, model, and TV Actor.

[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 does helen flanagan do?

[Tool]
Top 10 entity alternatives:
1. Helen Flanagan, also known as Helen Daniella Flanagan (fb:m.087k1_): Helen Joyce Gabriel Flanagan is an English actress, model, and t...h candidate in the 2013 FHM 100 Sexiest Women in the World poll., has type TV Actor
2. Helen Flanagan (fb:m.0_z3nl7): Helen Flanagan is a cinematographer., has type Film cinematographer
3. Helen Flanagan (fb:m.0ygdbgn): Helen Flanagan is a fictional character from the 2011 film Butter., has type Film character
4. Helen Flanagan Pictures (fb:m.0c1_pkz)
5. Helen Flanagan, Henning Wehn, Miles Jupp, TBA, also known as Helen Flanagan, Henning Wehn, Miles Jupp, Alex Brooker (fb:m.0y5r68h): Jimmy Carr hosts the topical comedy panel show, with team captai...uests Helen Flanagan, Henning Wehn. Alex Brooker and Miles Jupp., has type TV Episode
6. Helen Flanagan, Henning Wehn, and Miles Jupp, also known as Helen Flanagan, Henning Wehn, Miles Jupp, Alex Brooker (fb:m.0yldrqp): Extended version of the show guest staring Helen Flanagan, Henning Wehn, Miles Jupp and Alex Brooker., has type TV Episode
7. Helen, also known as H-Bomb, Queen of the Nautch Girls, Miss Helen, Helen Richardson Khan, Helen Richardson (fb:m.070c93): Helen Jairag Richardson is a Burma-born Indian film actress and ...s the second wife of Salim Khan, and step-mother of Salman Khan., has type Award Winner
8. Jon Flanagan, also known as Flanagan, Jonathon Patrick Flanagan (fb:m.0gkzb7h): Jonathon Patrick "Jon" Flanagan is an English professional footb...ion". This has led to fans dubbing Flanagan as "the Scouse Cafu", has type Football player
9. Helen, also known as White County / Helen city, Helen, Georgia (fb:m.0r_0f): Helen is a city in White County, Georgia, United States, along the Chattahoochee River. The population was 430 at the 2000 census., has type City/Town/Village
10. Flanagan, also known as Flanagan, Illinois, Livingston County / Flanagan village (fb:m.0sbmb): Flanagan is a village in Livingston County, Illinois, United Sta...ool and grade school are both located within the village limits., has type City/Town/Village

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?placeOfbirth WHERE {
  fb:m.0261x8t fb:people.person.place_of_birth ?placeOfbirth .
}

Got 1 row and 1 column:
| placeOfbirth               |
| -------------------------- |
| Los Angeles (fb:m.030qb3t) |

Kim Kardashian was born in Los Angeles.

[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 did kim kardashian come from?

[Tool]
Top 10 entity alternatives:
1. Kim Kardashian, also known as Kim, Kim West, Kimmie, Kim Kardashian-West, Kimberly Noel "Kim" Kardashian (fb:m.0261x8t): Kimberly "Kim" Kardashian West is an American television and soc...y television personality, with estimated earnings of $6 million., has type Celebrity
2. Kim Kardashian, also known as Petite Ninja Warriors (fb:m.0745l_5): The models navigate their way through Los Angeles as they attend...e ladies to hang on wires. Model Jessica White is a guest judge., has type TV Episode
3. Kim Kardashian (fb:m.06xy8z0): John Caparulo, Jen Kirkman, Ross Mathews, has type TV Episode
4. Kim Kardashian (fb:m.0gg_zfd): has type TV Episode
5. Kim Kardashian (fb:m.0kc3ypk): has type TV Episode
6. Kim Kardashian (fb:m.0g05d33): has type TV Episode
7. Kim Kardashian (fb:m.06y25xd): has type TV Episode
8. Kim Kardashian (fb:m.0xtwmq5): has type Musical Recording
9. Kim Kardashian (fb:m.0tm0357): has type Musical Recording
10. Kim Kardashian (fb:m.0_hgg8w): has type TV Episode

[Tool]
Top 10 property alternatives:
1. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
2. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
3. Gender (fb:people.person.gender): part of Person schema, links to type Gender
4. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
5. Religion (fb:base.popstra.celebrity.religion): links to type Religion Choice, part of Celebrity schema
6. Religion (fb:people.person.religion): links to type Religion, part of Person schema
7. Name (fb:type.object.name): part of Object schema, links to type Text
8. Parents (fb:people.person.parents): part of Person schema, links to type Person
9. Family (fb:people.family_member.family): part of Family member schema, links to type Family
10. Profession (fb:people.person.profession): links to type Profession, part of Person schema

No other items found

[Tool]
Got 1 row and 1 column:
| placeOfbirth               |
| -------------------------- |
| Los Angeles (fb:m.030qb3t) |

[Tool] Stopped generation process