PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?language ?languageLabel WHERE {
  fb:m.0154j fb:location.country.official_language ?language .
  OPTIONAL {
    ?language rdfs:label ?languageLabel .
    FILTER ( lang( ?languageLabel ) = "en" )
  }
}
LIMIT 10

Got 3 rows and 2 columns:
| language                       | languageLabel        |
| ------------------------------ | -------------------- |
| Dutch Language (fb:m.02bv9)    | Dutch Language (en)  |
| German Language (fb:m.04306rv) | German Language (en) |
| French (fb:m.064_8sq)          | French (en)          |

The three official languages of Belgium are Dutch, French, and German.

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

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

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

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

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

[User] what are the three official languages of belgium?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
what language do they in belgium?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0154j ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0154j fb:location.country.official_language ?x .
}

Using entities:
Belgium, also known as België, Belgique, Kingdom of Belgium (fb:m.0154j): Belgium, officially the Kingdom of Belgium, is a sovereign state... Region. A German-speaking Community exists in eastern Wallonia., has type Country

Using properties:
Official Language (fb:location.country.official_language): links to type Human Language, part of Country schema

Example 2:
Question:
what language do they in belgium?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0154j ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0154j fb:location.country.languages_spoken ?x .
}

Using entities:
Belgium, also known as België, Belgique, Kingdom of Belgium (fb:m.0154j): Belgium, officially the Kingdom of Belgium, is a sovereign state... Region. A German-speaking Community exists in eastern Wallonia., has type Country

Using properties:
Languages spoken (fb:location.country.languages_spoken): links to type Human Language, part of Country schema

Example 3:
Question:
what language people speak in belgium?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0154j ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0154j fb:location.country.official_language ?x .
}

Using entities:
Belgium, also known as België, Belgique, Kingdom of Belgium (fb:m.0154j): Belgium, officially the Kingdom of Belgium, is a sovereign state... Region. A German-speaking Community exists in eastern Wallonia., has type Country

Using properties:
Official Language (fb:location.country.official_language): links to type Human Language, part of Country schema

[Assistant] From the similar examples, it is clear that the entity for Belgium is fb:m.0154j and the property for official languages is fb:location.country.official_language. I will now write a SPARQL query to get the three official languages of Belgium using these.

[Tool]
Got 3 rows and 2 columns:
| language                       | languageLabel        |
| ------------------------------ | -------------------- |
| Dutch Language (fb:m.02bv9)    | Dutch Language (en)  |
| German Language (fb:m.04306rv) | German Language (en) |
| French (fb:m.064_8sq)          | French (en)          |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the three official languages of Belgium from the freebase knowledge graph. It uses the appropriate property for official languages and returns both the identifiers and English labels of the languages. The result matches the known answer: Dutch, French, and German. The query is well-formed and complete for the user's question.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?college ?collegeLabel WHERE {
  fb:m.01_fz1 fb:people.person.education ?education .
  ?education fb:education.education.institution ?college .
  ?college fb:common.topic.notable_types fb:m.01y2hnl .
  OPTIONAL {
    ?college rdfs:label ?collegeLabel .
    FILTER ( lang( ?collegeLabel ) = "en" )
  }
}

S. E. Hinton attended the University of Tulsa for college.

[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 college did se hinton go?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
where did c.s. lewis go to college?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01wd02c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01wd02c fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:common.topic.notable_types fb:m.01y2hnl .
}

Using entities:
C. S. Lewis, also known as Jack, N. W. Clerk, LEWIS C.S., Lewis, C.S., Jacksie (fb:m.01wd02c): Clive Staples Lewis was a British novelist, poet, academic, medi...adcasts on the subject of Christianity brought him wide acclaim., has type Author
College/University, also known as College, University (fb:m.01y2hnl): The College/University type is used for institutions that offer ...mation, please see the Freebase wiki page on College/University.

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Institution (fb:education.education.institution): links to type Educational Institution, part of Education schema
Education (fb:people.person.education): links to type Education, part of Person schema

Example 2:
Question:
where did cutler jay go to college?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.097hft ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.097hft fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
}

Using entities:
Jay Cutler, also known as Jay Christopher Cutler (fb:m.097hft): Jay Christopher Cutler is an American football quarterback for t...of the 2006 NFL Draft. He played college football at Vanderbilt., has type American football player

Using properties:
Institution (fb:education.education.institution): links to type Educational Institution, part of Education schema
Education (fb:people.person.education): links to type Education, part of Person schema

Example 3:
Question:
where did president eisenhower go to college?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.028rk ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.028rk fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:common.topic.notable_types fb:m.01y2hnl .
}

Using entities:
College/University, also known as College, University (fb:m.01y2hnl): The College/University type is used for institutions that offer ...mation, please see the Freebase wiki page on College/University.
Dwight D. Eisenhower, also known as David Dwight Eisenhower, President Eisenhower, President Dwight D. Eisenhower, Pres. Dwight D. Eisenhower, Ike (fb:m.028rk): Dwight David "Ike" Eisenhower was the 34th President of the Unit... A. Taft, campaigning against "Communism, Korea and corruption"., has type US President

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Institution (fb:education.education.institution): links to type Educational Institution, part of Education schema
Education (fb:people.person.education): links to type Education, part of Person schema

[Assistant]
From the examples, the pattern to find the college someone attended is to:
1. Find the entity for the person.
2. Use the property fb:people.person.education to get the education entities.
3. From the education entities, use the property fb:education.education.institution to get the college/university entities.

Next, I will search for the entity "se hinton" in Freebase.

[Tool]
Top 10 entity alternatives:
1. Sebastián Hinton, also known as Sebastián Asturias Lopez (fb:m.0gchn0f): Sebastián Hinton is an actor., has type Film actor
2. Sean Hinton (fb:m.011cj_bw): Sean Hinton is an actor and producer., has type Film actor
3. Sebastian Hinton (fb:m.0b_pzww): has type Deceased Person
4. Seth Hinton (fb:m.0zfv39k): Seth Hinton is an American Football placekicker for the VMI Keydets., has type Athlete
5. Hinton, also known as Hinton, West Virginia, Summers County / Hinton city (fb:m.010ywb): Hinton is a city in Summers County, West Virginia, United States...center. Part of Paramount's 1994 film Lassie was shot in Hinton., has type City/Town/Village
6. Hinton, also known as Plymouth County / Hinton city, Hinton, Iowa (fb:m.0t26y): Hinton is a city in Plymouth County, Iowa, United States. The population was 928 at the 2010 census., has type City/Town/Village
7. Hinton, also known as Caddo County / Hinton town, Hinton, Oklahoma (fb:m.0z4hw): Hinton is a town in Caddo County, Oklahoma, United States. The p...2000 census. It is approximately 50 miles west of Oklahoma City., has type City/Town/Village
8. Hinton, also known as Hinton, Canada, Hinton, Alberta (fb:m.0270v5): Hinton is a town in west-central Alberta, Canada. It is located ...f Yellowhead and Bighorn Highway, in the Athabasca River valley., has type City/Town/Village
9. Hinton, also known as Hinton, Gloucestershire (fb:m.08qh3x): Hinton is a village in South Gloucestershire, England. It is one...he civil parish of Dyrham and Hinton. The Bull is the local pub., has type City/Town/Village
10. Hinton, Virginia, also known as Hinton, Hinton, Virginia (fb:m.04c1c9g): Hinton is an unincorporated community located in Rockingham Coun...nd Route 752 near the edge of George Washington National Forest., has type City/Town/Village

[Assistant] The search for "se hinton" did not return an exact match for the author S. E. Hinton, but it returned some similar names and places named Hinton. I will try searching for "s e hinton" to see if that yields a better match.

[Tool]
Top 10 entity alternatives:
1. S. E. Hinton, also known as Susan Eloise Hinton, S.E. 'Susie' Hinton (fb:m.01_fz1): Susan Eloise Hinton is an American writer best known for her you...ssociation for her cumulative contribution in writing for teens., has type Author
2. Hinton Elementary School (fb:m.07674vn): has type School
3. Hinton Elementary School (fb:m.0766pgz): has type School
4. An S. E. Hinton Collection (fb:m.05qfdx9): has type Book
5. Hinton Elementary School (fb:m.076pbts): has type School
6. Continuity within S. E. Hinton novels (fb:m.0f6knm): The young adult novels of bestselling author S.E. Hinton -- The ...That Was Then, This Is Now, and the regrets of a misspent youth., has type Book
7. The Novels of S. E. Hinton (fb:m.05q0whk): has type Book Edition
8. Hinton Area Elementary School (fb:m.07630f3): has type School
9. Ebony Silhouette (feat. Milt Hinton), also known as Soul Silhouette (fb:m.0wwj74): has type Musical Recording
10. Edgar Latimer Hinton II, Sr. (fb:m.0vb4p65): Edgar Latimer Hinton II, Sr. was a businessperson and the father of Ed Hinton., has type Deceased Person

[Assistant] I found the entity for S. E. Hinton (fb:m.01_fz1), who is an American writer. Now I will search for the properties related to education or college for this entity.

[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. Official website (fb:common.topic.official_website): part of Topic schema, links to type URI
4. Profession (fb:people.person.profession): links to type Profession, part of Person schema
5. Description (fb:common.topic.description): part of Topic schema, links to type Text
6. Web Link(s) (fb:common.topic.webpage): links to type Webpage, part of Topic schema
7. Children (fb:people.person.children): part of Person schema, links to type Person
8. Gender (fb:people.person.gender): part of Person schema, links to type Gender
9. Type (fb:type.object.type): part of Object schema, links to type Type
10. Key (fb:type.object.key): part of Object schema, links to type Key

No other items found

[Assistant] The property fb:people.person.education is the relevant property for education information of S. E. Hinton. I will now query the education institution for S. E. Hinton using this property.

[Tool]
Got 2 rows and 2 columns:
| college                               | collegeLabel                 |
| ------------------------------------- | ---------------------------- |
| University of Tulsa (fb:m.07w3r)      | University of Tulsa (en)     |
| Will Rogers High School (fb:m.0gymnv) | Will Rogers High School (en) |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The system correctly identified the educational institutions associated with S. E. Hinton, including the University of Tulsa and Will Rogers High School. However, the user specifically asked for the college she attended, so the answer should focus on the University of Tulsa only, as Will Rogers High School is a high school, not a college. The SPARQL query returns both institutions without filtering for only colleges or universities. To improve, the query should be refined to return only higher education institutions (colleges or universities) and exclude high schools or other types of educational institutions. This will make the answer more precise and relevant to the user's question.

[Assistant] Thank you for the feedback. To refine the query, I will filter the results to include only institutions that are colleges or universities, excluding high schools or other types of educational institutions. I will check for the notable type of the institution to be College/University (fb:m.01y2hnl) as in the similar examples.

[Tool]
Got 1 row and 2 columns:
| college                          | collegeLabel             |
| -------------------------------- | ------------------------ |
| University of Tulsa (fb:m.07w3r) | University of Tulsa (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the college attended by S. E. Hinton by using the education property and filtering for institutions of type College/University. The result matches the answer given, which is the University of Tulsa. The query also optionally retrieves the English label for the college, which is helpful for readability. The output is correct and complete for the user's question.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?team ?teamLabel WHERE {
  fb:m.03yx01 fb:sports.pro_athlete.teams ?roster .
  ?roster fb:sports.sports_team_roster.team ?team .
  ?team fb:common.topic.notable_types fb:m.044801x .
  OPTIONAL {
    ?team rdfs:label ?teamLabel FILTER ( lang( ?teamLabel ) = "en" )
  }
}

Got 2 rows and 2 columns:
| team                              | teamLabel                 |
| --------------------------------- | ------------------------- |
| San Francisco 49ers (fb:m.06rny)  | San Francisco 49ers (en)  |
| Tampa Bay Buccaneers (fb:m.07l24) | Tampa Bay Buccaneers (en) |

Steve Spurrier played professional football for the San Francisco 49ers and the Tampa Bay Buccaneers.

[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 did steve spurrier play pro football for?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
what team did tim tebow play for in college?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0g7km1 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0g7km1 fb:sports.pro_athlete.teams ?y .
  ?y fb:sports.sports_team_roster.team ?x .
  ?x fb:american_football.football_team.division fb:m.031fsz .
}

Using entities:
Division I (NCAA), also known as Division I-A, NCAA Division I (fb:m.031fsz): Division I is the highest level of intercollegiate athletics san...attendance requirements. Another difference is post season play., has type Basketball Division
Tim Tebow, also known as Timmy Tebow, Timothy Richard Tebow (fb:m.0g7km1): Timothy Richard Tebow is an American football quarterback for th...nship game. The Gators again went 13–1 in 2009, his senior year., has type Organization leader

Using properties:
Division (fb:american_football.football_team.division): links to type American football division, part of American football team schema
Teams (fb:sports.pro_athlete.teams): links to type Sports team roster, part of Athlete schema
Team (fb:sports.sports_team_roster.team): part of Sports team roster schema, links to type Sports Team

Example 2:
Question:
what team does plaxico burress play for?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.047j_j ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.047j_j fb:sports.pro_athlete.teams ?y .
  ?y fb:sports.sports_team_roster.team ?x .
  FILTER ( NOT EXISTS {
    ?y fb:sports.sports_team_roster.from ?sk0
  }
  || EXISTS {
    ?y fb:sports.sports_team_roster.from ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) <= "2015-08-10" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:sports.sports_team_roster.to ?sk2
  }
  || EXISTS {
    ?y fb:sports.sports_team_roster.to ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) >= "2015-08-10" ^^ xsd:dateTime )
  }
  )
}

Using entities:
Plaxico Burress, also known as Plaxico Antonio Burress (fb:m.047j_j): Plaxico Antonio Burress is a former American football wide recei...the New York Jets. He played college football at Michigan State., has type American football player

Using properties:
Teams (fb:sports.pro_athlete.teams): links to type Sports team roster, part of Athlete schema
From (fb:sports.sports_team_roster.from): part of Sports team roster schema, links to type Date/Time
Team (fb:sports.sports_team_roster.team): part of Sports team roster schema, links to type Sports Team
To (fb:sports.sports_team_roster.to): part of Sports team roster schema, links to type Date/Time

Example 3:
Question:
who does sam bradford play for?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02qjht0 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02qjht0 fb:sports.pro_athlete.teams ?y .
  ?y fb:sports.sports_team_roster.team ?x .
  FILTER ( NOT EXISTS {
    ?y fb:sports.sports_team_roster.from ?sk0
  }
  || EXISTS {
    ?y fb:sports.sports_team_roster.from ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) <= "2015-08-10" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:sports.sports_team_roster.to ?sk2
  }
  || EXISTS {
    ?y fb:sports.sports_team_roster.to ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) >= "2015-08-10" ^^ xsd:dateTime )
  }
  )
}

Using entities:
Sam Bradford, also known as Samuel Jacob Bradford (fb:m.02qjht0): Samuel Jacob "Sam" Bradford is an American football quarterback ...hich helped earn him the NFL Offensive Rookie of the Year award., has type American football player

Using properties:
Teams (fb:sports.pro_athlete.teams): links to type Sports team roster, part of Athlete schema
From (fb:sports.sports_team_roster.from): part of Sports team roster schema, links to type Date/Time
Team (fb:sports.sports_team_roster.team): part of Sports team roster schema, links to type Sports Team
To (fb:sports.sports_team_roster.to): part of Sports team roster schema, links to type Date/Time

[Assistant]
The examples show that to find the professional football teams a player played for, we can use the property fb:sports.pro_athlete.teams to get the sports team rosters, and then from those rosters get the teams using fb:sports.sports_team_roster.team.

Next, I will search for the entity "Steve Spurrier" in the freebase knowledge graph to find his identifier.

[Tool]
Top 10 entity alternatives:
1. Steve Spurrier, also known as Stephen Orr Spurrier (fb:m.03yx01): Stephen Orr Spurrier is an American football coach and former pl...ool's first conference championship since 1962 and last to date., has type American football player
2. Steven Spurrier (fb:m.08wp55): Steven Spurrier is a British wine expert and former merchant in ...e, in addition to authoring and co-authoring several wine books., has type Author
3. Steven Spurrier (fb:m.05kd7c): Steven Spurrier was a British artist and painter. Spurrier was b...ondon in 1961. The designer and artist John Benison was his son., has type Visual Artist
4. Steve Spurrier, Jr. (fb:m.0hpcq62): Steve Spurrier, Jr. is the son of Jerri Spurrier and American Football coach Steve Spurrier., has type Person
5. Steven Spurrier (fb:m.075qqbx): This is the fictional character, Steven Spurrier, based on the w...aracter is played by actor Alan Rickman in movie "Bottle Shock"., has type Film character
6. Steve Spurrier 2006-09-02 (fb:m.03qtk2j)
7. Steven Hugh Walthall Spurrier (fb:m.0zfy5p5): Steven Hugh Walthall Spurrier is the father of Christian Spurrier., has type Person
8. Stephen King, also known as The Rock Bottom Remainders, The King of horror, Master of Horror, The King, Steve (fb:m.0jt90f5): Stephen Edwin King is an American author of contemporary horror,... and the Grand Master Award from the Mystery Writers of America., Richard Bachman is a pen name used by horror fiction author Stephen King., has type Author
9. Steve Howe, also known as Stephen James Howe, Yes, Steve, Stephen James "Steve" Howe, Asia (fb:m.02l_7y): Stephen James "Steve" Howe is an English musician and songwriter..., and GTR, as well as having released 19 solo albums as of 2010., has type Musical Artist
10. Steve Angello, also known as Who's Who?, Who's Who, Steven Angello Josefsson Fragogiannis, Steve Josefsson Fragogiannis, Steve Angelo (fb:m.01w5pnq): Steve Angello is a Greek-Swedish disc jockey, record producer an...wedish House Mafia, together with Axwell and Sebastian Ingrosso., has type Musical Artist

[Assistant] I found the entity for Steve Spurrier as fb:m.03yx01. Now I will query for the professional football teams he played for using the property fb:sports.pro_athlete.teams and then get the teams from the sports team rosters.

[Tool]
Got 3 rows and 2 columns:
| team                                  | teamLabel                    |
| ------------------------------------- | ---------------------------- |
| San Francisco 49ers (fb:m.06rny)      | San Francisco 49ers (en)     |
| Tampa Bay Buccaneers (fb:m.07l24)     | Tampa Bay Buccaneers (en)    |
| Florida Gators football (fb:m.0ftf0f) | Florida Gators football (en) |

[Assistant]
Steve Spurrier played professional football for the San Francisco 49ers and the Tampa Bay Buccaneers. (He also played college football for the Florida Gators, but that is not professional football.)

I will now provide the final answer.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly retrieves the teams Steve Spurrier played for, including the San Francisco 49ers and Tampa Bay Buccaneers. However, it also returns the Florida Gators football team, which is a college team, not a professional team. The question specifically asks for professional football teams. To improve, the query should be refined to filter out non-professional teams, for example by restricting to teams that are part of a professional league or have a property indicating professional status. This will ensure the answer is precise and relevant to the question.

[Assistant] Thank you for the feedback. To refine the query, I will try to filter the teams to only include professional football teams. One way to do this is to check if the team is part of a professional league or has a property indicating it is a professional team. I will first check the properties of the teams to find such an indicator. I will query the properties of one of the teams, e.g., the San Francisco 49ers, to see if there is a property related to league or professional status.

[Tool]
Got 1,023 rows and 3 columns, showing the first 10 rows below:
| subject                          | property                                                            | object                                                                   |
| -------------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| San Francisco 49ers (fb:m.06rny) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| San Francisco 49ers (fb:m.06rny) | Key (fb:type.object.key)                                            | /authority/daylife/topic/061d85F13JbjD                                   |
| San Francisco 49ers (fb:m.06rny) | Name (fb:type.object.name)                                          | 49ers de San Francisco (fr)                                              |
| San Francisco 49ers (fb:m.06rny) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%33%27%46_%41%31%27%46%33%4A%33%43%48_49>  |
| San Francisco 49ers (fb:m.06rny) | Notable for (fb:common.topic.notable_for)                           | fb:g.125621nq1                                                           |
| San Francisco 49ers (fb:m.06rny) | Notable types (fb:common.topic.notable_types)                       | Professional Sports Team (fb:m.044801x)                                  |
| San Francisco 49ers (fb:m.06rny) | Description (fb:common.topic.description)                           | A San Francisco 49ers amerikai f...ak nyugati csoportjában játszik. (hu) |
| San Francisco 49ers (fb:m.06rny) | Article (fb:common.topic.article)                                   | fb:m.06rp6                                                               |
| San Francisco 49ers (fb:m.06rny) | Also known as (fb:common.topic.alias)                               | 49ers (en)                                                               |
| San Francisco 49ers (fb:m.06rny) | Has value (fb:freebase.valuenotation.has_value)                     | Founders (fb:m.02_77l6)                                                  |
| ...                              | ...                                                                 | ...                                                                      |

[Assistant] The San Francisco 49ers have a notable type "Professional Sports Team" (fb:m.044801x), which indicates it is a professional team. I will use this type to filter the teams in the query to only include those that are of type Professional Sports Team. I will now refine the query accordingly.

[Tool]
Got 2 rows and 2 columns:
| team                              | teamLabel                 |
| --------------------------------- | ------------------------- |
| San Francisco 49ers (fb:m.06rny)  | San Francisco 49ers (en)  |
| Tampa Bay Buccaneers (fb:m.07l24) | Tampa Bay Buccaneers (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the professional football teams for which Steve Spurrier played. It uses the appropriate properties and filters to get the teams and their English labels. The answer matches the query result and is accurate. The query also respects the rule of returning identifiers and labels optionally. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?wife ?wifeName WHERE {
  fb:m.0cm83 fb:people.person.spouse_s ?marriage .
  ?marriage fb:people.marriage.spouse ?wife .
  ?wife fb:people.person.gender fb:m.02zsn .
  ?wife rdfs:label ?wifeName .
  FILTER ( LANG( ?wifeName ) = "en" )
}

The wife of King George VI is Queen Elizabeth The Queen Mother.

[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 king george vi wife?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
what did king george vi die of?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0cm83 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0cm83 fb:people.deceased_person.cause_of_death ?x .
}

Using entities:
George VI, also known as Albert Frederick Arthur George, Prince Albert, King George VI, King George, H.M. King George VI (fb:m.0cm83): George VI was King of the United Kingdom and the Dominions of th...and its transition into the Commonwealth of Nations accelerated., has type Monarch

Using properties:
Cause of death (fb:people.deceased_person.cause_of_death): part of Deceased Person schema, links to type Cause Of Death

Example 2:
Question:
who was the wife of king edward vii?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0cm03 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0cm03 fb:people.person.spouse_s ?y .
  ?y fb:people.marriage.spouse ?x .
  ?x fb:people.person.gender fb:m.02zsn .
}

Using entities:
Female, also known as Women, Woman, Girl, Gal, Dame (fb:m.02zsn): Female (♀) is the sex of an organism, or a part of an organism, ...esis). Some organisms can reproduce both sexually and asexually., Female is the sex of an organism, or a part of an organism, that...female mammals, including female humans, have two X chromosomes., has type Literature Subject
Edward VII (fb:m.0cm03): Edward VII was King of the United Kingdom and the British Domini... and broadened the range of people with whom royalty socialised., has type Monarch

Using properties:
Spouse (fb:people.marriage.spouse): part of Marriage schema, links to type Person
Gender (fb:people.person.gender): part of Person schema, links to type Gender
Spouse (or domestic partner) (fb:people.person.spouse_s): links to type Marriage, part of Person schema

Example 3:
Question:
who was king george v father?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0cmpn ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0cmpn fb:people.person.parents ?x .
  ?x fb:people.person.gender fb:m.05zppz .
}

Using entities:
Male, also known as Men, Man, Guy, Dude, Boy (fb:m.05zppz): A male organism is the physiological sex that produces sperm. Ea... sex depending on the number of females present in the vicinity., has type Risk Factor
George V, also known as George Frederick Ernest Albert, Prince of Wales, George Frederick Ernest Albert Wettin (fb:m.0cmpn): George V was King of the United Kingdom and the British Dominion...xe-Coburg and Gotha as a result of anti-German public sentiment., has type Monarch

Using properties:
Gender (fb:people.person.gender): part of Person schema, links to type Gender
Parents (fb:people.person.parents): part of Person schema, links to type Person

[Assistant]
From the examples, I see that King George VI is identified as fb:m.0cm83 in Freebase. The property for spouse is fb:people.person.spouse_s which links to a marriage entity, and then the marriage entity links to the spouse person with fb:people.marriage.spouse. Also, the spouse's gender can be filtered by fb:people.person.gender with the value for female fb:m.02zsn.

I will now write a SPARQL query to find the wife of King George VI using these properties.

[Tool]
Got 1 row and 2 columns:
| wife                                          | wifeName                              |
| --------------------------------------------- | ------------------------------------- |
| Queen Elizabeth The Queen Mother (fb:m.0cm63) | Queen Elizabeth The Queen Mother (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the wife of King George VI by querying his spouse relationship and filtering for a female spouse. It returns the correct entity and English label for Queen Elizabeth The Queen Mother, which is the accurate answer to the question. The query respects the requirement to return identifiers and labels and uses appropriate properties. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?profession ?professionLabel WHERE {
  fb:m.02g3w fb:people.person.profession ?profession .
  OPTIONAL {
    ?profession rdfs:label ?professionLabel FILTER ( lang( ?professionLabel ) = 'en' )
  }
}

Got 11 rows and 2 columns, showing the first 5 and last 5 rows below:
| profession                        | professionLabel          |
| --------------------------------- | ------------------------ |
| Animator (fb:m.015h31)            | Animator (en)            |
| Cartoonist (fb:m.0196pc)          | Cartoonist (en)          |
| Film Producer (fb:m.01d_h8)       | Film Producer (en)       |
| Illustrator (fb:m.020xn5)         | Illustrator (en)         |
| Television producer (fb:m.03gjzk) | Television producer (en) |
| ...                               | ...                      |
| Poet (fb:m.05z96)                 | Poet (en)                |
| Writer (fb:m.0cbd2)               | Writer (en)              |
| Screenwriter (fb:m.0dxtg)         | Screenwriter (en)        |
| Artist (fb:m.0n1h)                | Artist (en)              |
| Songwriter (fb:m.0nbcg)           | Songwriter (en)          |

Dr. Seuss (Theodore Seuss Geisel) was an Animator, Cartoonist, Film Producer, Illustrator, Television Producer, Poet, Writer, Screenwriter, Artist, and Songwriter.

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

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

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

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

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

[User] what did dr. seuss do?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
what was the title of the first book dr. seuss wrote?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02g3w ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02g3w fb:book.author.works_written ?x .
  ?x fb:common.topic.notable_types fb:m.01xryvm .
  ?x fb:book.written_work.copyright_date ?sk0 .
}
ORDER BY xsd:datetime ( ?sk0 )
LIMIT 1

Using entities:
Book (fb:m.01xryvm): A book is a written work or a collection of written works in boo...For more information, please see the Freebase wiki page on book.
Theodore Lesieg, also known as Theodore Sieg, Theodor Geisel, Theodor Seuss Geisel, Theodor S. Geisel, Theo LeSieg (fb:m.02g3w): Theodor Seuss Geisel was an American writer and illustrator best... which later won the 1947 Academy Award for Documentary Feature., has type Author

Using properties:
Works written (fb:book.author.works_written): links to type Written Work, part of Author schema
Copyright date (fb:book.written_work.copyright_date): part of Written Work schema, links to type Date/Time
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type

Example 2:
Question:
where did dr seuss go to school?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02g3w ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02g3w fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
}

Using entities:
Theodore Lesieg, also known as Theodore Sieg, Theodor Geisel, Theodor Seuss Geisel, Theodor S. Geisel, Theo LeSieg (fb:m.02g3w): Theodor Seuss Geisel was an American writer and illustrator best... which later won the 1947 Academy Award for Documentary Feature., has type Author

Using properties:
Institution (fb:education.education.institution): links to type Educational Institution, part of Education schema
Education (fb:people.person.education): links to type Education, part of Person schema

Example 3:
Question:
what did einstein do?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0jcx ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0jcx fb:people.person.profession ?x .
}

Using entities:
Albert Einstein, also known as Einstein (fb:m.0jcx): Albert Einstein was a German-born theoretical physicist. He deve...his explanations of particle theory and the motion of molecules., has type Academic

Using properties:
Profession (fb:people.person.profession): links to type Profession, part of Person schema

[Assistant] From the similar examples, we see that "dr. seuss" corresponds to the entity Theodore Seuss Geisel (fb:m.02g3w) in Freebase. To answer "what did dr. seuss do?", we can look for his professions or notable activities. The property "fb:people.person.profession" was used in the example for Einstein to find what he did. We can try to use the same property for Dr. Seuss to find his professions or what he did. I will now execute a query to find the professions of Dr. Seuss.

[Tool]
Got 11 rows and 2 columns, showing the first 5 and last 5 rows below:
| profession                        | professionLabel          |
| --------------------------------- | ------------------------ |
| Animator (fb:m.015h31)            | Animator (en)            |
| Cartoonist (fb:m.0196pc)          | Cartoonist (en)          |
| Film Producer (fb:m.01d_h8)       | Film Producer (en)       |
| Illustrator (fb:m.020xn5)         | Illustrator (en)         |
| Television producer (fb:m.03gjzk) | Television producer (en) |
| ...                               | ...                      |
| Poet (fb:m.05z96)                 | Poet (en)                |
| Writer (fb:m.0cbd2)               | Writer (en)              |
| Screenwriter (fb:m.0dxtg)         | Screenwriter (en)        |
| Artist (fb:m.0n1h)                | Artist (en)              |
| Songwriter (fb:m.0nbcg)           | Songwriter (en)          |

[Assistant] Dr. Seuss (Theodore Seuss Geisel) had multiple professions including Animator, Cartoonist, Film Producer, Illustrator, Television Producer, Poet, Writer, Screenwriter, Artist, and Songwriter. I will now provide the final answer with these professions.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves all professions associated with Dr. Seuss (Theodor Seuss Geisel) from the Freebase knowledge graph. The query returns the IRIs of the professions along with their English labels as optional information, which follows best practices. The answer comprehensively lists the various roles Dr. Seuss had, matching the query results. No irrelevant items are included, and no requested information is missing. Therefore, the output is correct and complete.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?location ?locationLabel WHERE {
  fb:m.0g5r_z_ fb:location.location.containedby ?location .
  OPTIONAL {
    ?location rdfs:label ?locationLabel .
    FILTER ( LANG( ?locationLabel ) = "en" )
  }
}

Got 2 rows and 2 columns:
| location                                       | locationLabel                         |
| ---------------------------------------------- | ------------------------------------- |
| Rural Municipality of Headingley (fb:m.08mhny) | Rural Municipality of Headingley (en) |
| Winnipeg (fb:m.0pmq2)                          | Winnipeg (en)                         |

The MTS Iceplex is located in Winnipeg.

[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 is the mts iceplex in winnipeg?

[Assistant] Let's start by looking at some similar examples.

[Tool] No examples found

[Assistant] There are no similar example queries available. Next, I will search for the entity "MTS Iceplex" in the Freebase knowledge graph to identify its identifier and related information. This will help us find its location.

[Tool]
Top 10 entity alternatives:
1. MTS Iceplex (fb:m.0g5r_z_): The MTS Iceplex and Hockey Canada Centre of Excellence is an ice... League use the Iceplex as their practice and training facility., has type Venue
2. MTS, also known as Mobile Telesystems Ojsc, MTC (fb:m.040lw5): MTS is the largest mobile operator in Russia and CIS with over 1... and began expansion, later entering other countries of the CIS., Mobile Telesystems Ojsc is a Telecom company., has type Business Operation
3. Ometz, Israel, also known as אומץ, אמץ (fb:m.04cy6wq): Ometz is a moshav in central Israel. Located in the coastal plai...; the second is that is an acronym for Irgun Mishuhrarei Tzahal., has type City/Town/Village
4. MTS, also known as MTS (fb:m.0f9kcvg): has type Musical Group
5. MTS, also known as M.T.S. (fb:m.01p5s3w): has type Musical Group
6. MTS (fb:m.011v8jth): MTS was a Eurodance project formed in Canada. The project consis...ing Under Hot 100 Singles. In 1997 they released a studio album.
7. MTS (fb:m.0tnrlg6): has type Musical Recording
8. mts (fb:m.042zv3q): Used for AVCHD filesWhat is AVCHD?AVCHD (Advanced Video Codec Hi...eld video camera recording formats, particularly HDV and MiniDV., has type File Format
9. MTS (fb:m.0h00s_j)
10. MTS (fb:m.0tnyl14)

[Assistant] I found the entity "MTS Iceplex" with the identifier fb:m.0g5r_z_. It is described as the MTS Iceplex and Hockey Canada Centre of Excellence, an ice venue. Next, I will look for the location or address property of this entity to find where it is located, specifically if it mentions Winnipeg.

[Tool]
Got 49 rows and 3 columns, showing the first 10 rows below:
| subject                    | property                                                            | object                                                                   |
| -------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| MTS Iceplex (fb:m.0g5r_z_) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| MTS Iceplex (fb:m.0g5r_z_) | Key (fb:type.object.key)                                            | /wikipedia/en/Assiniboine_Credit_Union_Arena                             |
| MTS Iceplex (fb:m.0g5r_z_) | Name (fb:type.object.name)                                          | MTS Iceplex (en)                                                         |
| MTS Iceplex (fb:m.0g5r_z_) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://en.wikipedia.org/wiki/index.html?curid=30350817>                 |
| MTS Iceplex (fb:m.0g5r_z_) | Notable for (fb:common.topic.notable_for)                           | fb:g.125b420ty                                                           |
| MTS Iceplex (fb:m.0g5r_z_) | Notable types (fb:common.topic.notable_types)                       | Venue (fb:m.0hn6bxg)                                                     |
| MTS Iceplex (fb:m.0g5r_z_) | Description (fb:common.topic.description)                           | The MTS Iceplex and Hockey Canad... practice and training facility. (en) |
| MTS Iceplex (fb:m.0g5r_z_) | Article (fb:common.topic.article)                                   | fb:m.0g5r__3                                                             |
| MTS Iceplex (fb:m.0g5r_z_) | Contained by (fb:location.location.containedby)                     | Winnipeg (fb:m.0pmq2)                                                    |
| MTS Iceplex (fb:m.0g5r_z_) | Geolocation (fb:location.location.geolocation)                      | fb:m.0wmrszd                                                             |
| ...                        | ...                                                                 | ...                                                                      |

[Assistant]
The MTS Iceplex (fb:m.0g5r_z_) is contained by Winnipeg (fb:m.0pmq2) according to the property fb:location.location.containedby. It also has a geolocation property fb:location.location.geolocation (fb:m.0wmrszd). This confirms that the MTS Iceplex is located in Winnipeg.

I will now construct a SPARQL query to retrieve the location information of the MTS Iceplex in Winnipeg.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the locations that contain the MTS Iceplex, including Winnipeg. The answer "The MTS Iceplex is located in Winnipeg." is accurate and supported by the query results. The query also returns an additional location, the Rural Municipality of Headingley, which is relevant and informative. The query follows the rules by returning identifiers and labels optionally. No further refinement is necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?event ?end_date WHERE {
  {
    ?event fb:sports.sports_championship_event.champion fb:m.01y3c .
  } UNION {
    ?event fb:sports.sports_championship_event.runner_up fb:m.01y3c .
  }
  ?event fb:sports.sports_championship_event.championship fb:m.06x5s .
  ?event fb:time.event.end_date ?end_date .
}
ORDER BY ?end_date

The Carolina Panthers went to the Super Bowl on February 1, 2004 (Super Bowl XXXVIII).

[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 carolina panthers go to superbowl?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
what year did arizona cardinals go to superbowl?

SPARQL:
SELECT DISTINCT ?x WHERE {
  fb:m.06x5s fb:sports.sports_championship.events ?x .
  {
    {
      ?x fb:sports.sports_championship_event.runner_up fb:m.0ws7 .
    } UNION {
      ?x fb:sports.sports_championship_event.champion fb:m.0ws7 .
    }
  }
}

Using entities:
Super Bowl, also known as Superbowl start, Superbowl kickoff what time, Super Bowl NFL, Super bowl played, Superbowl played (fb:m.06x5s): The Super Bowl is the annual championship game of the National F...ue with 26 wins to 23 wins for the American Football Conference., has type Sports League Championship
Arizona Cardinals, also known as The Cards, The Buzzsaw, The Birds, Chicago Cardinals, Big Red (fb:m.0ws7): The Arizona Cardinals are a professional American football team ... of Glendale, although the team's training facility is in Tempe., has type Professional Sports Team

Using properties:
Events (fb:sports.sports_championship.events): links to type Sports League Championship Event, part of Sports League Championship schema
Champion (fb:sports.sports_championship_event.champion): part of Sports League Championship Event schema, links to type Sports Team
Runner-up (fb:sports.sports_championship_event.runner_up): part of Sports League Championship Event schema, links to type Sports Team

Example 2:
Question:
when was the last time the new england patriots won the superbowl?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.05g3b ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.05g3b fb:sports.sports_team.championships ?x .
  ?x fb:sports.sports_championship_event.championship fb:m.06x5s .
  ?x fb:time.event.end_date ?sk0 .
}
ORDER BY DESC ( xsd:datetime ( ?sk0 ) )
LIMIT 1

Using entities:
New England Patriots, also known as Pats, The Patsies (fb:m.05g3b): The New England Patriots are a professional American football te... notched consecutive playoff appearances twice in their history., has type Professional Sports Team
Super Bowl, also known as Superbowl start, Superbowl kickoff what time, Super Bowl NFL, Super bowl played, Superbowl played (fb:m.06x5s): The Super Bowl is the annual championship game of the National F...ue with 26 wins to 23 wins for the American Football Conference., has type Sports League Championship

Using properties:
Championship (fb:sports.sports_championship_event.championship): part of Sports League Championship Event schema, links to type Sports League Championship
Championships (fb:sports.sports_team.championships): links to type Sports League Championship Event, part of Sports Team schema
End date (fb:time.event.end_date): links to type Date/Time, part of Event schema

Example 3:
Question:
when did the raiders win the superbowl?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.05l71 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.05l71 fb:sports.sports_team.championships ?x .
}

Using entities:
Oakland Raiders, also known as The World's Team, The Team of the Decades, The Silver and Black, The Raiders, The Oakland Traitors (fb:m.05l71): The Oakland Raiders are a professional American football franchi...on six division titles and played in six AFC championship games., has type Professional Sports Team

Using properties:
Championships (fb:sports.sports_team.championships): links to type Sports League Championship Event, part of Sports Team schema

[Assistant]
From the similar examples, it appears that the entity for the Carolina Panthers as a sports team and the Super Bowl as a sports championship event are relevant. The property "fb:sports.sports_team.championships" links a sports team to the championships they have participated in. The championship events have properties like "fb:sports.sports_championship_event.champion" and "fb:sports.sports_championship_event.runner_up" to indicate the winner and runner-up.

Next, I will search for the entity of the Carolina Panthers in the freebase knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Carolina Panthers (fb:m.01y3c): The Carolina Panthers are a professional American football club ..., one of them in the NFC West and four of them in the NFC South., has type Professional Sports Team
2. The Carolina Panthers (fb:m.06q1sd2): has type Book
3. The Carolina Panthers (fb:m.06jvjz0): has type Book
4. The Carolina Panthers (fb:m.06f1pmq): has type Book
5. Carolina Panthers Helmet (fb:m.02kzw_6)
6. Carolina Panthers seasons (fb:m.08sq789)
7. 2010 Carolina Panthers season (fb:m.09v1910): The 2010 Carolina Panthers season is the franchise's 16th season...ach John Fox and his entire coaching staff would not be renewed.
8. 2015 Carolina Panthers season (fb:m.012hfrq3): The 2015 Carolina Panthers season will be the franchise's upcomi...n the team's history they will play on Thanksgiving this season.
9. 2014 Carolina Panthers season (fb:m.0zrn8b0): The 2014 Carolina Panthers season was the franchise's 20th seaso...round, but lost to the Seattle Seahawks in the Divisional round.
10. 2012 Carolina Panthers season (fb:m.0hzpgwn): The 2012 Carolina Panthers season was the franchise's 18th seaso...on Facebook to make the call, but the vote ended in a 50/50 tie.

[Assistant] The entity for the Carolina Panthers as a professional American football team is fb:m.01y3c. Now I will write a SPARQL query to find the Super Bowl events where the Carolina Panthers were either the champion or the runner-up. I will retrieve the event and its end date (which should correspond to the date of the Super Bowl).

[Tool]
Got 1 row and 2 columns:
| event                            | end_date              |
| -------------------------------- | --------------------- |
| Super Bowl XXXVIII (fb:m.0277y8) | 2004-02-01 (xsd:date) |

[Assistant] The Carolina Panthers went to the Super Bowl on February 1, 2004, which corresponds to Super Bowl XXXVIII. I will now provide the final answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the Super Bowl events where the Carolina Panthers were either the champion or the runner-up, filtered to only Super Bowl events, and returns the end date of those events. The answer matches the query result, stating that the Carolina Panthers went to the Super Bowl on February 1, 2004 (Super Bowl XXXVIII). The query follows the rules by returning identifiers and the date, and the answer is accurate and complete for the user's question.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?championship ?start_date WHERE {
  fb:m.0jm3v fb:sports.sports_team.championships ?championship .
  ?championship fb:time.event.start_date ?start_date .
}
ORDER BY DESC ( ?start_date )
LIMIT 1

The last time the New York Knicks won the championship was in 1973, specifically the 1973 NBA Finals.

[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 was the last time knicks won the championship?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
when did the ny knicks last win a championship?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0jm3v ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0jm3v fb:sports.sports_team.championships ?x .
  ?x fb:time.event.start_date ?sk0 .
}
ORDER BY DESC ( xsd:datetime ( ?sk0 ) )
LIMIT 1

Using entities:
New York Knicks, also known as Knicks (fb:m.0jm3v): The New York Knickerbockers, commonly referred to as the Knicks,...ly guided the Knicks to two NBA championships, in 1970 and 1973., has type Professional Sports Team

Using properties:
Championships (fb:sports.sports_team.championships): links to type Sports League Championship Event, part of Sports Team schema
Start date (fb:time.event.start_date): links to type Date/Time, part of Event schema

Example 2:
Question:
what years did the knicks win the championship?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0jm3v ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0jm3v fb:sports.sports_team.championships ?x .
}

Using entities:
New York Knicks, also known as Knicks (fb:m.0jm3v): The New York Knickerbockers, commonly referred to as the Knicks,...ly guided the Knicks to two NBA championships, in 1970 and 1973., has type Professional Sports Team

Using properties:
Championships (fb:sports.sports_team.championships): links to type Sports League Championship Event, part of Sports Team schema

Example 3:
Question:
when did the new york knicks win a championship?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0jm3v ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0jm3v fb:sports.sports_team.championships ?x .
}

Using entities:
New York Knicks, also known as Knicks (fb:m.0jm3v): The New York Knickerbockers, commonly referred to as the Knicks,...ly guided the Knicks to two NBA championships, in 1970 and 1973., has type Professional Sports Team

Using properties:
Championships (fb:sports.sports_team.championships): links to type Sports League Championship Event, part of Sports Team schema

[Assistant]
From the similar examples, it appears that the New York Knicks entity in Freebase is fb:m.0jm3v and the property for championships is fb:sports.sports_team.championships. The championship events have a start date property fb:time.event.start_date which can be used to find the last time they won.

I will now write a SPARQL query to find the last time the Knicks won the championship by ordering the championship events by their start date in descending order and limiting the result to 1.

[Tool]
Got 1 row and 2 columns:
| championship                  | start_date            |
| ----------------------------- | --------------------- |
| 1973 NBA Finals (fb:m.0cs1kg) | 1973-05-01 (xsd:date) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the most recent championship won by the New York Knicks by ordering the championships by their start date in descending order and limiting the result to one. The answer '1973 NBA Finals' with the start date '1973-05-01' is accurate and directly answers the user's question. The query follows best practices by returning the championship identifier and the start date. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?currency ?currencyLabel WHERE {
  fb:m.027rn fb:location.country.currency_used ?currency .
  OPTIONAL {
    ?currency rdfs:label ?currencyLabel FILTER ( lang( ?currencyLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| currency                     | currencyLabel       |
| ---------------------------- | ------------------- |
| Dominican peso (fb:m.04lt7_) | Dominican peso (en) |

The currency used by the Dominican Republic is the Dominican peso.

[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 kind of currency does the dominican republic have?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
what currency does the dominican republic?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.027rn ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.027rn fb:location.country.currency_used ?x .
}

Using entities:
Dominican Republic, also known as República Dominicana (fb:m.027rn): The Dominican Republic is a country on the island of Hispaniola,...y removed by the Haitian government and Dominican slave revolts., has type Country

Using properties:
Currency Used (fb:location.country.currency_used): links to type Currency, part of Country schema

Example 2:
Question:
what is currency in dominican republic?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.027rn ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.027rn fb:location.country.currency_used ?x .
}

Using entities:
Dominican Republic, also known as República Dominicana (fb:m.027rn): The Dominican Republic is a country on the island of Hispaniola,...y removed by the Haitian government and Dominican slave revolts., has type Country

Using properties:
Currency Used (fb:location.country.currency_used): links to type Currency, part of Country schema

Example 3:
Question:
what is the currency in the dominican republic called?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.027rn ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.027rn fb:location.country.currency_used ?x .
}

Using entities:
Dominican Republic, also known as República Dominicana (fb:m.027rn): The Dominican Republic is a country on the island of Hispaniola,...y removed by the Haitian government and Dominican slave revolts., has type Country

Using properties:
Currency Used (fb:location.country.currency_used): links to type Currency, part of Country schema

[Assistant] From the similar examples, I found that the entity for the Dominican Republic is fb:m.027rn and the property for currency used by a country is fb:location.country.currency_used. I will now write a SPARQL query to get the currency used by the Dominican Republic.

[Tool]
Got 1 row and 2 columns:
| currency                     | currencyLabel       |
| ---------------------------- | ------------------- |
| Dominican peso (fb:m.04lt7_) | Dominican peso (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the currency used by the Dominican Republic using the appropriate property and entity. The query returns the currency identifier and its English label, which matches the user's question. The answer provided is accurate and complete. No further refinement is needed.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?timeZone ?timeZoneLabel WHERE {
  fb:m.05tbn fb:location.location.time_zones ?timeZone .
  OPTIONAL {
    ?timeZone rdfs:label ?timeZoneLabel .
    FILTER ( lang( ?timeZoneLabel ) = "en" )
  }
}

Pennsylvania is currently in the Eastern Time Zone (fb:m.02hcv8) and has a UTC offset of UTC−05:00 (fb:m.02_37z).

[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 time zone is pennsylvania in right now?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
what timezone is colorado in right now?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01n4w ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01n4w fb:location.location.time_zones ?x .
}

Using entities:
Colorado, also known as Centennial State, Colo, CO (fb:m.01n4w): Colorado is a U.S. state encompassing most of the Southern Rocky...the centennial of the United States Declaration of Independence., The State of Colorado is a state in the Rocky Mountain region of... city of Colorado. Citizens of Colorado are known as Coloradans., has type US State

Using properties:
Time zone(s) (fb:location.location.time_zones): links to type Time Zone, part of Location schema

Example 2:
Question:
what time zone is the uk in right now?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07ssc ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07ssc fb:location.location.time_zones ?x .
}

Using entities:
United Kingdom, also known as United Kingdom of Great Britain and Northern Ireland, United Kingdom of Great Britain and Ireland, United Kingdom of Great Britain, UK, U.K. (fb:m.07ssc): The United Kingdom of Great Britain and Northern Ireland, common...urth-largest in Europe and second-largest in the European Union., has type Country

Using properties:
Time zone(s) (fb:location.location.time_zones): links to type Time Zone, part of Location schema

Example 3:
Question:
what is the time zone in uk now?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07ssc ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07ssc fb:location.location.time_zones ?x .
}

Using entities:
United Kingdom, also known as United Kingdom of Great Britain and Northern Ireland, United Kingdom of Great Britain and Ireland, United Kingdom of Great Britain, UK, U.K. (fb:m.07ssc): The United Kingdom of Great Britain and Northern Ireland, common...urth-largest in Europe and second-largest in the European Union., has type Country

Using properties:
Time zone(s) (fb:location.location.time_zones): links to type Time Zone, part of Location schema

[Assistant]
From the similar examples, the property to get the time zone of a location is fb:location.location.time_zones. The entity for Pennsylvania should be found and then we can query its time zone.

Next, I will search for the entity "Pennsylvania" in the freebase knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Pennsylvania, also known as PN, Penn, PA, Keystone State (fb:m.05tbn): Pennsylvania /ˌpɛnsɨlˈveɪnjə/, officially the Commonwealth of Pe...nited States Constitution were drafted, is located in the state., has type US State
2. Pennsylvania (fb:m.0dnbfx0): has type Musical Release
3. Pennsylvania (fb:m.0dnsql1): has type Musical Release
4. Pennsylvania (fb:m.01k2yk8): Pennsylvania is Pere Ubu's eleventh studio album. The album mark...'s return to Pere Ubu's studio work after a twenty-year absence., has type Musical Album
5. Pennsylvania (fb:m.039trkh): has type Musical Release
6. SS Pennsylvania, also known as Pennsylvania (fb:m.051xkgs): SS Pennsylvania was an iron passenger-cargo steamship built by W...-American War. The ship was finally destroyed by a fire in 1918., has type Ship
7. Pennsylvania, also known as Pennsylvania, South Gloucestershire (fb:m.0fly7h): Pennsylvania is a small village in South Gloucestershire, Englan...e Bed and Breakfast. It was named after the US state by Quakers., has type City/Town/Village
8. Pennsylvania (fb:m.016m6n7): has type Musical Recording
9. Pennsylvania (fb:m.0fhhw0): "Pennsylvania" is the official state song of the Commonwealth of...igned into law by Governor Robert P. Casey on November 29, 1990., has type Composition
10. Pennsylvania, also known as Pennsylvania Steamboat (fb:m.03y0fsc): The steamboat Pennsylvania was a side wheeler steamboat which su...d sank at Ship Island near Memphis, Tennessee, on June 13, 1858., has type Location

[Assistant] The entity for Pennsylvania as a US State is fb:m.05tbn. Now I will query the time zone(s) of Pennsylvania using the property fb:location.location.time_zones.

[Tool]
Got 2 rows and 1 column:
| timeZone                        |
| ------------------------------- |
| UTC−05:00 (fb:m.02_37z)         |
| Eastern Time Zone (fb:m.02hcv8) |

[Assistant] Pennsylvania is in the Eastern Time Zone (fb:m.02hcv8) and also has a UTC offset of UTC−05:00 (fb:m.02_37z). I will now provide the final answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The system correctly identified Pennsylvania's current time zone as the Eastern Time Zone with a UTC offset of UTC−05:00. The SPARQL query properly retrieves the time zones associated with Pennsylvania and includes their labels. The result contains both the time zone name and the UTC offset, which fully answers the user's question. No further refinement is needed.