PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?formOfGovernment ?formOfGovernmentLabel WHERE {
  ?location fb:government.governmental_jurisdiction.governing_officials ?position .
  ?position fb:government.government_position_held.office_position_or_title fb:m.02cyh7 .
  ?location fb:location.country.form_of_government ?formOfGovernment .
  OPTIONAL {
    ?formOfGovernment rdfs:label ?formOfGovernmentLabel FILTER ( lang( ?formOfGovernmentLabel ) = 'en' )
  }
}

Got 3 rows and 2 columns:
| formOfGovernment                | formOfGovernmentLabel   |
| ------------------------------- | ----------------------- |
| Communist state (fb:m.01fkst)   | Communist state (en)    |
| Socialist state (fb:m.025tbxf)  | Socialist state (en)    |
| Single-party state (fb:m.0py4y) | Single-party state (en) |

The location that has the government position title 'President of Vietnam' currently has the systems of government: Communist state, Socialist state, and Single-party state.

[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] Which system of government, does the location that has the government position title ,President of Vietnam, have currently?

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

[Tool]
Example 1:
Question:
What government and governmental jurisdiction does the President of Vietnam fall under?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:government.governmental_jurisdiction.governing_officials ?k .
  ?k fb:government.government_position_held.office_position_or_title fb:m.02cyh7 .
  ?c fb:location.country.form_of_government ?x .
}

Using entities:
President of Vietnam (fb:m.02cyh7): The President of the Socialist Republic of Vietnam, represents t...tnam, his successor, Tôn Đức Thắng, served as a symbolic figure., has type Government Office or Title

Using properties:
Office, position, or title (fb:government.government_position_held.office_position_or_title): links to type Government Office or Title, part of Government Position Held schema
Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held
Form of Government (fb:location.country.form_of_government): links to type Form of Government, part of Country schema

Example 2:
Question:
What is the type of government in place in the area under the jurisdiction of the Prime Minister of Vietnam?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:government.governmental_jurisdiction.governing_officials ?k .
  ?k fb:government.government_position_held.office_position_or_title fb:m.028qmy .
  ?c fb:location.country.form_of_government ?x .
}

Using entities:
Prime Minister of Vietnam, also known as Prime Minister of the Socialist Republic, Prime Minister of the Socialist Republic of Vietnam (fb:m.028qmy): The Prime Minister of Vietnam, officially styled Prime Minister ... Party's Politburo, the highest decision-making body in Vietnam., has type Government Office or Title

Using properties:
Office, position, or title (fb:government.government_position_held.office_position_or_title): links to type Government Office or Title, part of Government Position Held schema
Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held
Form of Government (fb:location.country.form_of_government): links to type Form of Government, part of Country schema

Example 3:
Question:
The country that uses the Vietnamese Dong have what kind of government?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:location.country.currency_used fb:m.03ksl6 .
  ?c fb:location.country.form_of_government ?x .
}

Using entities:
Vietnamese dong, also known as Vietnamese đồng (Remonetized) (fb:m.03ksl6): The đồng has been the currency of Vietnam since May 3, 1978. Iss...was further subdivided into 10 xu, neither of which is now used., has type Currency

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

[Assistant]
From the similar examples, I see that the property for the government position title "President of Vietnam" is fb:m.02cyh7. The property for the form of government of a country is fb:location.country.form_of_government. The property linking governing officials to the governmental jurisdiction is fb:government.governmental_jurisdiction.governing_officials, and the property linking the government position held to the office position or title is fb:government.government_position_held.office_position_or_title.

I will now construct a SPARQL query to find the form of government of the location that has the government position title "President of Vietnam."

[Tool]
Got 3 rows and 1 column:
| formOfGovernment                |
| ------------------------------- |
| Communist state (fb:m.01fkst)   |
| Socialist state (fb:m.025tbxf)  |
| Single-party state (fb:m.0py4y) |

[Assistant] The location that has the government position title "President of Vietnam" currently has the following systems of government: Communist state, Socialist state, and Single-party state. I will now provide the final answer with these details.

[Tool] Stopped generation process


PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?college ?num WHERE {
  fb:m.0ggp1n fb:people.person.education ?education .
  ?education fb:education.education.institution ?college .
  ?college fb:education.university.number_of_postgraduates ?postgraduates .
  ?postgraduates fb:measurement_unit.dated_integer.number ?num .
  FILTER ( xsd:integer ( ?num ) < 9153 )
}

Kevin Hart attended Temple University, which has less than 9153 postgraduates (5478 postgraduates).

[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] Which college attended by Kevin Hart has less than 9153 postgraduates?

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

[Tool]
Example 1:
Question:
Which college attended by James Franco has the smallest number of postgraduate students?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.05bnp0 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.05bnp0 fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:common.topic.notable_types fb:m.01y2hnl .
  ?x fb:education.university.number_of_postgraduates ?c .
  ?c fb:measurement_unit.dated_integer.number ?num .
}
ORDER BY xsd:integer ( ?num )
LIMIT 1

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.
James Franco, also known as Ted, Teddy, James Edward Franco (fb:m.05bnp0): James Edward Franco is an American actor, filmmaker, and teacher...riting at his alma mater, University of California, Los Angeles., has type Celebrity

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
Number of postgraduates (fb:education.university.number_of_postgraduates): part of College/University schema, links to type Dated Integer
number (fb:measurement_unit.dated_integer.number): part of Dated Integer schema, links to type Integer
Education (fb:people.person.education): links to type Education, part of Person schema

Example 2:
Question:
What university with the smallest number of postgraduates did James Franco attend?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.05bnp0 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.05bnp0 fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:education.university.number_of_postgraduates ?c .
  ?c fb:measurement_unit.dated_integer.number ?num .
}
ORDER BY xsd:integer ( ?num )
LIMIT 1

Using entities:
James Franco, also known as Ted, Teddy, James Edward Franco (fb:m.05bnp0): James Edward Franco is an American actor, filmmaker, and teacher...riting at his alma mater, University of California, Los Angeles., has type Celebrity

Using properties:
Institution (fb:education.education.institution): links to type Educational Institution, part of Education schema
Number of postgraduates (fb:education.university.number_of_postgraduates): part of College/University schema, links to type Dated Integer
number (fb:measurement_unit.dated_integer.number): part of Dated Integer schema, links to type Integer
Education (fb:people.person.education): links to type Education, part of Person schema

Example 3:
Question:
What college that boasts Jackie Kennedy as an alumnus is a university with fewer than 13718 postgraduate students?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0h6mq ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0h6mq fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:common.topic.notable_types fb:m.01y2hnl .
  ?x fb:education.university.number_of_postgraduates ?c .
  ?c fb:measurement_unit.dated_integer.number ?num .
  FILTER ( xsd:integer ( ?num ) < 13718 ) .
}

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.
Jacqueline Kennedy Onassis, also known as Jacqueline Lee Bouvier, Supertanker, Jacqueline Lee Bouvier Kennedy Onassis, Jacqueline Lee Bouvier Onassis, Jacqueline Lee "Jackie" Bouvier Kennedy Onassis (fb:m.0h6mq): Jacqueline Lee "Jackie" Kennedy Onassis was the wife of the 35th...sband in a motorcade in Dallas, Texas, when he was assassinated., has type Politician

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
Number of postgraduates (fb:education.university.number_of_postgraduates): part of College/University schema, links to type Dated Integer
number (fb:measurement_unit.dated_integer.number): part of Dated Integer schema, links to type Integer
Education (fb:people.person.education): links to type Education, part of Person schema

[Assistant]
From the examples, I see that the property for education is fb:people.person.education, the property for the institution is fb:education.education.institution, and the property for the number of postgraduates is fb:education.university.number_of_postgraduates with the number value under fb:measurement_unit.dated_integer.number.

Now, I will search for the entity Kevin Hart in Freebase to get his identifier.

[Tool]
Top 10 entity alternatives:
1. Kevin Hart, also known as Kevin D. Hart (fb:m.0ggp1n): Kevin Darnell Hart is an American actor, comedian, writer, and p...stars as himself in the lead role of Real Husbands of Hollywood., has type Celebrity
2. Kevin Hart (fb:m.07zm3r): Kevin John Hart is an Anglo-Australian theologian, philosopher a...topher Brennan Award and the Grace Leven Prize for Poetry twice., has type Author
3. Kevin Hart (fb:m.02z6jkw): Not to be confused with comedian Kevin Hart Kevin Richard Hart i...jor League Baseball for the Chicago Cubs and Pittsburgh Pirates., has type Baseball Player
4. Kevin Hart, also known as Kevin Christopher Hart (fb:m.0zdsw5n): Kevin Hart is an American Football offensive lineman for the Coastal Carolina Chanticleers., has type Athlete
5. Kevin Hart (fb:m.0h98915): Kevin Francis Hart is a former Australian rules footballer who p...hen captain-coached Heidelberg to premierships in 1956 and 1957., has type Athlete
6. Kevin Hart (fb:m.0zgljnd): Kevin Hart is an American Football wide receiver for the William & Mary Tribe., has type Athlete
7. Kevin Hart (fb:m.079d26f): Comedy Central presents a new half-hour of stand-up from Kevin Hart., has type TV Episode
8. Kevin Hart (fb:m.0_f_1xp): Kevin Hart is the co-founder and the President of HB Agency., has type Organization leader
9. Kevin Hart (fb:m.011k48t5): It's the biggest night in 'Wild 'N Out' history as Kevin Hart re... see who will get the last laugh in the season finale smackdown., has type TV Episode
10. Kevin Hart (fb:m.011k48tm): Wild 'N Out's back, and what better way to kick things off than ...ionship belt. Plus, we get a winning performance from DJ Khaled., has type TV Episode

[Assistant] The Kevin Hart who is an American actor and comedian has the identifier fb:m.0ggp1n. Next, I will write a SPARQL query to find colleges attended by Kevin Hart and their number of postgraduates, filtering for those with less than 9153 postgraduates.

[Tool]
Got 1 row and 2 columns:
| college                         | num  |
| ------------------------------- | ---- |
| Temple University (fb:m.01jt2w) | 5478 |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?whistlerLocale ?whistlerLocaleLabel ?legendFilmingPlace ?legendFilmingPlaceLabel WHERE {
  fb:m.02pg6z3 fb:location.location.containedby ?whistlerLocale .
  OPTIONAL {
    ?whistlerLocale rdfs:label ?whistlerLocaleLabel .
    FILTER ( lang( ?whistlerLocaleLabel ) = "en" )
  }
  fb:m.02__34 fb:film.film.featured_film_locations ?legendFilmingPlace .
  OPTIONAL {
    ?legendFilmingPlace rdfs:label ?legendFilmingPlaceLabel .
    FILTER ( lang( ?legendFilmingPlaceLabel ) = "en" )
  }
}

Got 18 rows and 4 columns, showing the first 5 and last 5 rows below:
| whistlerLocale                          | whistlerLocaleLabel            | legendFilmingPlace     | legendFilmingPlaceLabel |
| --------------------------------------- | ------------------------------ | ---------------------- | ----------------------- |
| British Columbia (fb:m.015jr)           | British Columbia (en)          | Vancouver (fb:m.080h2) | Vancouver (en)          |
| British Columbia (fb:m.015jr)           | British Columbia (en)          | Canada (fb:m.0d060g)   | Canada (en)             |
| Coast Mountains (fb:m.0183r6)           | Coast Mountains (en)           | Vancouver (fb:m.080h2) | Vancouver (en)          |
| Coast Mountains (fb:m.0183r6)           | Coast Mountains (en)           | Canada (fb:m.0d060g)   | Canada (en)             |
| North American Cordillera (fb:m.019f_v) | North American Cordillera (en) | Vancouver (fb:m.080h2) | Vancouver (en)          |
| ...                                     | ...                            | ...                    | ...                     |
| Pacific Ranges (fb:m.08p698)            | Pacific Ranges (en)            | Canada (fb:m.0d060g)   | Canada (en)             |
| Garibaldi Ranges (fb:m.08pqh0)          | Garibaldi Ranges (en)          | Vancouver (fb:m.080h2) | Vancouver (en)          |
| Garibaldi Ranges (fb:m.08pqh0)          | Garibaldi Ranges (en)          | Canada (fb:m.0d060g)   | Canada (en)             |
| Canada (fb:m.0d060g)                    | Canada (en)                    | Vancouver (fb:m.080h2) | Vancouver (en)          |
| Canada (fb:m.0d060g)                    | Canada (en)                    | Canada (fb:m.0d060g)   | Canada (en)             |

The locale of Whistler Mountain includes British Columbia, Coast Mountains, North American Cordillera, Pacific Ranges, Garibaldi Ranges, and Canada. The place where Legends of the Fall was shot includes Vancouver and Canada.

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

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

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

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

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

[User] What is the locale of Whistler Mountain and the place Legends of the Fall was shot?

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

[Tool]
Example 1:
Question:
In what country is the subject of the film "Everest" located?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:film.film_subject.films fb:m.092cdq .
  ?c fb:location.location.partially_containedby ?x .
  ?x fb:base.biblioness.bibs_location.loc_type ?sk0 .
  FILTER ( str( ?sk0 ) = "Country" )
}

Using entities:
Everest (fb:m.092cdq): Everest is a 70mm American documentary film from MacGillivray Fr...98 and became the highest-grossing film made in the IMAX format., has type Film

Using properties:
Type (fb:base.biblioness.bibs_location.loc_type): part of Bibs Location schema, links to type Text
Films On This Subject (fb:film.film_subject.films): part of Film subject schema, links to type Film
Partially contained by (fb:location.location.partially_containedby): part of Location schema, links to type Location

Example 2:
Question:
Which country that Nina Dobrev is from is the location of the film "Legends of the Fall"?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.027nwk2 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.027nwk2 fb:people.person.nationality ?x .
  ?x fb:film.film_location.featured_in_films fb:m.02__34 .
}

Using entities:
Nina Dobrev, also known as Nina Constantinova Dobreva, Nikolina Konstantinova Dobreva, Almond (fb:m.027nwk2): Nina Dobrev is a Bulgarian Canadian actress and model. She playe...e CW's supernatural drama, The Vampire Diaries, for six seasons., has type Celebrity
Legends of the Fall (fb:m.02__34): Legends of the Fall is a 1994 American epic drama film directed ...ish language terms, the Ludlows being a Cornish emigrant family., has type Award-Winning Work

Using properties:
Featured In Films (fb:film.film_location.featured_in_films): part of Filming location schema, links to type Film
Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country

Example 3:
Question:
In what country was the subject of the movie "Skiing Everest" found?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:film.film_subject.films fb:m.0h1ft6d .
  ?c fb:location.location.partially_containedby ?x .
  ?x fb:base.biblioness.bibs_location.loc_type ?sk0 .
  FILTER ( str( ?sk0 ) = "Country" )
}

Using entities:
Skiing Everest (fb:m.0h1ft6d): Skiing Everest is an American adventure documentary directed by ...their skis and challenge the most dangerous slopes in the world., has type Film

Using properties:
Type (fb:base.biblioness.bibs_location.loc_type): part of Bibs Location schema, links to type Text
Films On This Subject (fb:film.film_subject.films): part of Film subject schema, links to type Film
Partially contained by (fb:location.location.partially_containedby): part of Location schema, links to type Location

[Assistant]
From the examples, it seems that to find the locale of a mountain or the place where a film was shot, we need to identify the entities for "Whistler Mountain" and "Legends of the Fall" and then find their locations or filming locations.

Step 1: Search for the entity "Whistler Mountain" in Freebase.
Step 2: Search for the entity "Legends of the Fall" in Freebase.

[Tool]
Top 10 entity alternatives:
1. Whistler Mountain (fb:m.02pg6z3): Whistler Mountain is a mountain in the Fitzsimmons Range of the ...BC. The mountain forms part of a major ski and snowboard resort., has type Mountain
2. On whistler mountain (fb:m.093pk9t): has type Book Edition
3. The Mountain Whistler (fb:m.0137pbfj): has type Musical Recording
4. On whistler mountain (fb:m.06gbyy_): has type Book
5. Whistler Mountaineer (fb:m.043qlbp): Whistler Mountaineer is a rail way service operated by Rocky Mou...ntaineer today is called the Rocky Mountaineer sea to sky climb.
6. The Mountain Whistler (fb:m.0137nds2)
7. Whistler Mountain (B.C.) (fb:m.0bp0d76)
8. Whistler Mountain (Wash.) (fb:m.0bpc6r_)
9. Pan Pacific Whistler Mountainside (fb:m.0c1pbxy): has type Hotel
10. WMSC Foundation, also known as Whistler Mountain Ski Club Foundation (fb:m.0746sx2): WMSC Foundation is a not-for-profit organization that is dedicated to train and develop juvenile skiers., has type Organization

[Tool]
Top 10 entity alternatives:
1. Legends of the Fall (fb:m.02__34): Legends of the Fall is a 1994 American epic drama film directed ...ish language terms, the Ludlows being a Cornish emigrant family., has type Award-Winning Work
2. Legends of the Fall (fb:m.03b4v6b): has type Consumer product
3. Legends of the fall (fb:m.08dsr91): has type Book Edition
4. Legends of the Fall (fb:m.012pkkd9): has type Consumer product
5. Legends of the Fall, also known as Legends of the Fall Soundtrack (fb:m.01hw5_m): has type Soundtrack
6. Legends of the Fall, also known as Legends of the Fall, Legends of the Fall: The Ludlows (fb:m.0f7bccq): has type Musical Recording
7. Legends of the Fall (fb:m.0mh3gb): has type Musical Recording
8. Legends of the fall (fb:m.068vtnm): Legends of the fall is a novella written by Jim Harrison., has type Book
9. Legends of the Fall (fb:m.014zmy4): has type Musical Recording
10. Legends of the Fall (fb:m.0qfjj27): has type Musical Recording

[Assistant]
I found the entities for Whistler Mountain (fb:m.02pg6z3) and Legends of the Fall (fb:m.02__34) in Freebase.

Next, I will find the locale (location) of Whistler Mountain and the place where Legends of the Fall was shot (filming location). I will start by checking the properties of Whistler Mountain to find the location.

[Tool]
Top 10 property alternatives:
1. Name (fb:type.object.name): part of Object schema, links to type Text
2. Description (fb:common.topic.description): part of Topic schema, links to type Text
3. Geolocation (fb:location.location.geolocation): part of Location schema, links to type Geocode
4. Elevation (fb:geography.mountain.elevation): links to type Floating Point Number, part of Mountain schema
5. Image (fb:common.topic.image): part of Topic schema, links to type Image
6. Key (fb:type.object.key): part of Object schema, links to type Key
7. Article (fb:common.topic.article): links to type Document, part of Topic schema
8. Type (fb:type.object.type): part of Object schema, links to type Type
9. Contained by (fb:location.location.containedby): part of Location schema, links to type Location
10. Contains (fb:location.location.contains): part of Location schema, links to type Location

No other items found

[Assistant]
For Whistler Mountain, the property "Contained by" (fb:location.location.containedby) seems to indicate the location or locale it is part of. I will query the location that contains Whistler Mountain.

Next, I will check the properties of the film "Legends of the Fall" to find the filming location.

[Tool]
Top 10 property alternatives:
1. Notable filming locations (fb:film.film.featured_film_locations): links to type Filming location, part of Film schema
2. Cinematography (fb:film.film.cinematography): links to type Film cinematographer, part of Film schema
3. Production companies (fb:film.film.production_companies): links to type Production company, part of Film schema
4. Produced by (fb:film.film.produced_by): links to type Film producer, part of Film schema
5. Directed by (fb:film.film.directed_by): links to type Film director, part of Film schema
6. Screenplay by (fb:film.film.written_by): links to type Film writer, part of Film schema
7. Country of origin (fb:film.film.country): links to type Country, part of Film schema
8. Production design by (fb:film.film.film_production_design_by): links to type Film production designer, part of Film schema
9. Executive produced by (fb:film.film.executive_produced_by): links to type Film producer, part of Film schema
10. Image (fb:common.topic.image): part of Topic schema, links to type Image

No other items found

[Assistant]
For the film "Legends of the Fall," the property "Notable filming locations" (fb:film.film.featured_film_locations) seems to indicate the places where the film was shot.

I will now write a SPARQL query to get the locale of Whistler Mountain using the "Contained by" property and the filming locations of "Legends of the Fall" using the "Notable filming locations" property. I will also try to get labels for better readability.

[Tool]
Got 18 rows and 4 columns, showing the first 5 and last 5 rows below:
| whistlerLocale                          | whistlerLocaleLabel            | legendFilmingPlace     | legendFilmingPlaceLabel |
| --------------------------------------- | ------------------------------ | ---------------------- | ----------------------- |
| British Columbia (fb:m.015jr)           | British Columbia (en)          | Vancouver (fb:m.080h2) | Vancouver (en)          |
| British Columbia (fb:m.015jr)           | British Columbia (en)          | Canada (fb:m.0d060g)   | Canada (en)             |
| Coast Mountains (fb:m.0183r6)           | Coast Mountains (en)           | Vancouver (fb:m.080h2) | Vancouver (en)          |
| Coast Mountains (fb:m.0183r6)           | Coast Mountains (en)           | Canada (fb:m.0d060g)   | Canada (en)             |
| North American Cordillera (fb:m.019f_v) | North American Cordillera (en) | Vancouver (fb:m.080h2) | Vancouver (en)          |
| ...                                     | ...                            | ...                    | ...                     |
| Pacific Ranges (fb:m.08p698)            | Pacific Ranges (en)            | Canada (fb:m.0d060g)   | Canada (en)             |
| Garibaldi Ranges (fb:m.08pqh0)          | Garibaldi Ranges (en)          | Vancouver (fb:m.080h2) | Vancouver (en)          |
| Garibaldi Ranges (fb:m.08pqh0)          | Garibaldi Ranges (en)          | Canada (fb:m.0d060g)   | Canada (en)             |
| Canada (fb:m.0d060g)                    | Canada (en)                    | Vancouver (fb:m.080h2) | Vancouver (en)          |
| Canada (fb:m.0d060g)                    | Canada (en)                    | Canada (fb:m.0d060g)   | Canada (en)             |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?college ?collegeLabel WHERE {
  ?college fb:location.location.containedby fb:m.0rczx .
  ?college fb:common.topic.notable_types fb:m.01y2hnl .
  ?college fb:education.university.number_of_undergraduates ?numUndergraduates .
  ?numUndergraduates fb:measurement_unit.dated_integer.number ?number .
  FILTER ( ?number = 40 ) .
  OPTIONAL {
    ?college rdfs:label ?collegeLabel .
    FILTER ( lang( ?collegeLabel ) = 'en' )
  }
}

The college in Greeley, Colorado that has 40 undergraduates is the Academy of Natural Therapy.

[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 in Greeley, Colorado has 40 undergraduates?

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

[Tool]
Example 1:
Question:
What state has a capital named Denver and has University of Rockies?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03wbmx5 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03wbmx5 fb:location.location.containedby ?x .
  ?x fb:location.us_state.capital fb:m.02cl1 .
}

Using entities:
Denver, also known as Denver, CO, Denver, Colorado, Denver County, Denver County / Denver city (fb:m.02cl1): Denver is the capital and most populous municipality of the U.S....ed as the 21st most populous U.S. metropolitan statistical area., has type City/Town/Village
University of the Rockies, also known as University of the Rockies, Colorado Springs, University of the Rockies, main campus (fb:m.03wbmx5): University of the Rockies is an accredited for-profit university...l institutions in the North Central Region of the United States., has type College/University

Using properties:
Contained by (fb:location.location.containedby): part of Location schema, links to type Location
Capital (fb:location.us_state.capital): links to type City/Town/Village, part of US State schema

Example 2:
Question:
Where is the University of the Rockies in a country where you'd also find El Paso County?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03wbmx5 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03wbmx5 fb:location.location.containedby ?x .
  ?x fb:location.hud_county_place.county fb:m.0p07l .
}

Using entities:
University of the Rockies, also known as University of the Rockies, Colorado Springs, University of the Rockies, main campus (fb:m.03wbmx5): University of the Rockies is an accredited for-profit university...l institutions in the North Central Region of the United States., has type College/University
El Paso County (fb:m.0p07l): El Paso County is one of the 64 counties of the U.S. state of Co...dicated to improving the region's transportation infrastructure., has type US County

Using properties:
County (fb:location.hud_county_place.county): part of HUD County Place schema, links to type US County
Contained by (fb:location.location.containedby): part of Location schema, links to type Location

Example 3:
Question:
What college Alice Walker attended is the university with more than 340 postgraduates enrolled?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0bv70 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0bv70 fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:common.topic.notable_types fb:m.01y2hnl .
  ?x fb:education.university.number_of_postgraduates ?c .
  ?c fb:measurement_unit.dated_integer.number ?num .
  FILTER ( xsd:integer ( ?num ) > 340 ) .
}

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.
Alice Walker, also known as Alice Malsenior Walker (fb:m.0bv70): Alice Malsenior Walker is an American author and activist. She w...eridian and The Third Life of Grange Copeland among other works., has type Author

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
Number of postgraduates (fb:education.university.number_of_postgraduates): part of College/University schema, links to type Dated Integer
number (fb:measurement_unit.dated_integer.number): part of Dated Integer schema, links to type Integer
Education (fb:people.person.education): links to type Education, part of Person schema

[Assistant]
From the examples, I see that colleges/universities are represented with the type fb:m.01y2hnl in Freebase. The location of a college can be found using the property fb:location.location.containedby. The number of undergraduates might be represented with a property related to the number of students or undergraduates.

Next, I will search for colleges or universities in Greeley, Colorado. I will first search for the entity "Greeley, Colorado" to get its identifier. Then I will look for colleges located in that place.

[Tool]
Top 10 entity alternatives:
1. Greeley, also known as Weld County / Greeley city, Greeley, Colorado, USA, Greeley, Colorado (fb:m.0rczx): The City of Greeley is the Home Rule Municipality that is the co...rado. Greeley is a major city of the Front Range Urban Corridor., has type City/Town/Village
2. Greeley Junction, also known as Greeley Junction, Colorado (fb:m.048pw74): has type City/Town/Village
3. Downtown Greeley Colorado (fb:m.0byh2w6)
4. Irrigation near Greeley, Colorado (fb:m.06v5756): has type Book
5. Media in Greeley, Colorado (fb:m.011jmsx0): Greeley is a center of media in north-central Colorado. The following is a list of media outlets in the city.
6. Location of Greeley, Colorado (fb:m.0294yls)
7. University of Northern Colorado, also known as University of Northern Colorado, main campus, University of Northern Colorado, Greeley, UNCO, UNC (fb:m.01_k7f): The University of Northern Colorado is a coeducational public in...education. Academic programs are distributed among six colleges., The University of Northern Colorado (UNC or Northern Colorado) i...education. Academic programs are distributed among six colleges., has type College/University
8. Colorado High School Of Greeley (fb:m.07659t9): has type School
9. 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
10. Sport Club Internacional, also known as Colorado, The Red (fb:m.019m5j): Sport Club Internacional is a Brazilian multisport club based in...n the World in number of paying members, with more than 104,000., has type Football team

[Assistant]
I found the entity for Greeley, Colorado: fb:m.0rczx. I also found a college in Greeley, Colorado called University of Northern Colorado with the entity fb:m.01_k7f.

Next, I will check if the University of Northern Colorado has information about the number of undergraduates. I will search for properties related to "undergraduates" or "number of students" for this entity.

[Tool]
Top 10 property alternatives:
1. Number of undergraduates (fb:education.university.number_of_undergraduates): part of College/University schema, links to type Dated Integer
2. Students/Graduates (fb:education.educational_institution.students_graduates): part of Educational Institution schema, links to type Education
3. Number of postgraduates (fb:education.university.number_of_postgraduates): part of College/University schema, links to type Dated Integer
4. Number of faculty (fb:education.educational_institution.faculty): part of Educational Institution schema, links to type Dated Integer
5. Educational institution (fb:education.educational_institution_campus.educational_institution): part of Educational Institution Campus schema, links to type Educational Institution
6. Campuses (fb:education.educational_institution.campuses): links to type Educational Institution Campus, part of Educational Institution schema
7. Domestic tuition (fb:education.university.domestic_tuition): part of College/University schema, links to type Dated Money Value
8. Total Enrollment (fb:education.educational_institution.total_enrollment): part of Educational Institution schema, links to type Dated Integer
9. Acceptance rate (fb:education.university.acceptance_rate): part of College/University schema, links to type Acceptance rate
10. Endowment (fb:organization.endowed_organization.endowment): part of Endowed Organization schema, links to type Dated Money Value

No other items found

[Assistant]
The property "Number of undergraduates" (fb:education.university.number_of_undergraduates) is available for the University of Northern Colorado.

Next, I will write a SPARQL query to find colleges in Greeley, Colorado that have 40 undergraduates. I will use the location entity fb:m.0rczx for Greeley, Colorado and the property fb:education.university.number_of_undergraduates to filter for 40 undergraduates.

[Tool] Got no rows and 2 columns

[Assistant] There are no colleges in Greeley, Colorado with exactly 40 undergraduates according to the data available. I will now check if there are any colleges in Greeley, Colorado with any number of undergraduates to verify the data availability.

[Tool]
Got 5 rows and 3 columns:
| college                                       | collegeLabel                         | number |
| --------------------------------------------- | ------------------------------------ | ------ |
| University of Northern Colorado (fb:m.01_k7f) | University of Northern Colorado (en) | 10102  |
| Aims Community College (fb:m.0407qbq)         | Aims Community College (en)          | 5308   |
| Aims Community College (fb:m.0407qbq)         | Aims Community College (en)          | 5340   |
| Academy of Natural Therapy (fb:m.0clw8vv)     | Academy of Natural Therapy (en)      | 40     |
| Academy of Natural Therapy (fb:m.0clw8vv)     | Academy of Natural Therapy (en)      | 51     |

[Assistant] There is a college in Greeley, Colorado called Academy of Natural Therapy that has 40 undergraduates according to the data. I will now provide the final answer.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?team ?teamLabel ?founded WHERE {
  VALUES ?team {
    fb:m.03gqb0k fb:m.04nmxtk fb:m.051q5 fb:m.05g3v
  }
  OPTIONAL {
    ?team fb:sports.sports_team.founded ?founded
  }
  OPTIONAL {
    ?team rdfs:label ?teamLabel FILTER ( lang( ?teamLabel ) = "en" )
  }
}
ORDER BY ?founded
LIMIT 1

The earliest founded team that Peyton Manning's dad, Archie Manning, has played for is the Minnesota Vikings, founded in 1961.

[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 earliest founded team that Peyton Manning's dad has played for?

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

[Tool]
Example 1:
Question:
Which of the football teams for which Emmitt Smith played was the most recently founded sports team?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01480y ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01480y fb:sports.pro_athlete.teams ?y .
  ?y fb:sports.sports_team_roster.team ?x .
  ?x fb:sports.sports_team.founded ?num .
}
ORDER BY DESC ( ?num )
LIMIT 1

Using entities:
Emmitt Smith, also known as Emmitt James Smith III, emmitt_smith (fb:m.01480y): Emmitt James Smith, III is an American former college and profes...same year three times when to that point it had never been done., has type American football player

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

Example 2:
Question:
Which football team founded earliest did Emmitt Smith play for?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01480y ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01480y fb:sports.pro_athlete.teams ?y .
  ?y fb:sports.sports_team_roster.team ?x .
  ?x fb:sports.sports_team.founded ?num .
}
ORDER BY ?num
LIMIT 1

Using entities:
Emmitt Smith, also known as Emmitt James Smith III, emmitt_smith (fb:m.01480y): Emmitt James Smith, III is an American former college and profes...same year three times when to that point it had never been done., has type American football player

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

Example 3:
Question:
What team does Lamar Play for that was founded before 1959?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02_nkp ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02_nkp fb:sports.pro_athlete.teams ?y .
  ?y fb:sports.sports_team_roster.team ?x .
  ?x fb:sports.sports_team.founded ?num .
  FILTER ( ?num < "1959" ^^ xsd:dateTime ) .
}

Using entities:
Lamar Odom, also known as Lamar Joseph Odom, Lam Lam, Lamy (fb:m.02_nkp): Lamar Joseph Odom is an American professional basketball player ...raded him to Dallas. He was traded back to the Clippers in 2012., has type Celebrity

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

[Assistant]
From the examples, I see that the approach is to find the teams a player has played for, get the founding date of those teams, and then order by the founding date to find the earliest founded team.

Step 1: Identify Peyton Manning's dad in the knowledge graph.
Step 2: Find the teams Peyton Manning's dad has played for.
Step 3: Find the founding dates of those teams.
Step 4: Order the teams by founding date and get the earliest one.

I will start by searching for Peyton Manning's dad entity in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Peyton Manning, also known as Peyton Williams Manning (fb:m.027jv8): Peyton Williams Manning is an American football quarterback for ...onships, two AFC championships, and one Super Bowl championship., has type American football player
2. Peyton Manning (fb:m.06xdbx5): has type TV Episode
3. Peyton Manning (fb:m.03svcd7)
4. Peyton Manning (fb:m.02cryv1)
5. Meet Peyton Manning (fb:m.06t1qmy): has type Book
6. Peyton Manning/Carrie Underwood, also known as SNL - 32.16 (fb:m.06xr8sl): This is the 16th broadcast of the 32nd season of SNL.  Information is subject to change., has type TV Episode
7. Shailene Woodley, Peyton Manning (fb:m.011d9mtk): has type TV Episode
8. Kurt Warner and Peyton Manning (fb:m.0690vqt): has type Book
9. United Way with Peyton Manning (fb:m.04p2ytq)
10. Peyton Manning and the Indianapolis Colts (fb:m.06fkz6b): has type Book

[Assistant] I found entities for Peyton Manning but not directly for his dad. Peyton Manning's dad is Archie Manning, a well-known football player. I will search for "Archie Manning" instead.

[Tool]
Top 10 entity alternatives:
1. Archie Manning, also known as Archie, Elisha Archibald Archie Manning III, Elisha Archibald Manning III (fb:m.02zmsf): Elisha Archibald "Archie" Manning III is a former American profe...g, and current New York Giants starting quarterback Eli Manning., Archie Manning played as an American Football quarterback for the Ole Miss Rebels., has type Author
2. Elisha Archie Manning, Jr. (fb:m.0j20pn2): has type Person
3. Barry Glassner, Matt Hasselbeck, Archie Manning (fb:m.06y452c): has type TV Episode
4. Archibald MacLeish, also known as MacLeish, Archibald, Archie MacLeish, Archie (fb:m.02drf8): Archibald MacLeish was an American poet, writer, and the Librari...chool of poetry. He received three Pulitzer Prizes for his work., has type Author
5. Colin Baker, also known as Archie, Baker, Colin (fb:m.015zvz): Colin Baker is an English actor, who is known as Paul Merroney i... science fiction television series Doctor Who from 1984 to 1986., has type Celebrity
6. Manning, also known as Clarendon County / Manning city, Manning, South Carolina (fb:m.0_l6w): Manning is a city in South Carolina and the county seat of Clare...t was named after South Carolina governor John Laurence Manning., has type City/Town/Village
7. Manning, also known as Carroll County / Manning city, Manning, Iowa (fb:m.0sslk): Manning is a city in Carroll County, Iowa, United States, along ...med for Orlando Harrison Manning, a Lieutenant Governor of Iowa., has type City/Town/Village
8. Archie, also known as Archie, Missouri, Cass County / Archie city (fb:m.0wt9g): Archie is a city in Cass County, Missouri, United States. The population was 1,028 at the 2010 census., has type City/Town/Village
9. Manning (fb:m.06zn2vs): has type Musical Group
10. Manning, also known as Manning, Upper Austria (fb:m.0cdpst): Manning is a town in the Austrian state of Upper Austria., has type City/Town/Village

[Assistant] I found the entity for Archie Manning: fb:m.02zmsf. Next, I will find the teams that Archie Manning has played for.

[Tool]
Got 5 rows and 3 columns:
| subject                      | property                            | object       |
| ---------------------------- | ----------------------------------- | ------------ |
| Archie Manning (fb:m.02zmsf) | Teams (fb:sports.pro_athlete.teams) | fb:m.0hpq5r4 |
| Archie Manning (fb:m.02zmsf) | Teams (fb:sports.pro_athlete.teams) | fb:m.0hpq5rc |
| Archie Manning (fb:m.02zmsf) | Teams (fb:sports.pro_athlete.teams) | fb:m.0hpq5rl |
| Archie Manning (fb:m.02zmsf) | Teams (fb:sports.pro_athlete.teams) | fb:m.0hpq5rv |
| Archie Manning (fb:m.02zmsf) | Teams (fb:sports.pro_athlete.teams) | fb:m.0j20pdx |

[Assistant]
Archie Manning has played for 5 teams with the following identifiers: fb:m.0hpq5r4, fb:m.0hpq5rc, fb:m.0hpq5rl, fb:m.0hpq5rv, and fb:m.0j20pdx.

Next, I will find the teams corresponding to these identifiers and their founding dates. I will start by getting the team names and founding dates for these teams.

[Tool]
Got 5 rows and 3 columns:
| team         | teamLabel | founded |
| ------------ | --------- | ------- |
| fb:m.0hpq5r4 |           |         |
| fb:m.0hpq5rc |           |         |
| fb:m.0hpq5rl |           |         |
| fb:m.0hpq5rv |           |         |
| fb:m.0j20pdx |           |         |

[Assistant] The teams Archie Manning played for do not have founding dates or labels directly available in the current query results. I will try to find the team names by looking for the team property of the sports team roster entities linked to Archie Manning's teams. Then I will check the founding dates of those teams.

[Tool]
Got 4 rows and 2 columns:
| team                                    | teamLabel                     |
| --------------------------------------- | ----------------------------- |
| Ole Miss Rebels football (fb:m.03gqb0k) | Ole Miss Rebels football (en) |
| Houston Oilers (fb:m.04nmxtk)           | Houston Oilers (en)           |
| Minnesota Vikings (fb:m.051q5)          | Minnesota Vikings (en)        |
| New Orleans Saints (fb:m.05g3v)         | New Orleans Saints (en)       |

[Assistant]
Archie Manning has played for the following teams: Ole Miss Rebels football, Houston Oilers, Minnesota Vikings, and New Orleans Saints.

Next, I will find the founding dates of these teams.

[Tool]
Got 4 rows and 3 columns:
| team                                    | teamLabel                     | founded          |
| --------------------------------------- | ----------------------------- | ---------------- |
| Ole Miss Rebels football (fb:m.03gqb0k) | Ole Miss Rebels football (en) |                  |
| Houston Oilers (fb:m.04nmxtk)           | Houston Oilers (en)           |                  |
| Minnesota Vikings (fb:m.051q5)          | Minnesota Vikings (en)        | 1961 (xsd:gYear) |
| New Orleans Saints (fb:m.05g3v)         | New Orleans Saints (en)       | 1967 (xsd:gYear) |

[Assistant]
Among the teams Archie Manning played for, the Minnesota Vikings were founded in 1961 and the New Orleans Saints in 1967. The Ole Miss Rebels football and Houston Oilers do not have founding dates available in the data.

The earliest founded team with a known founding date that Archie Manning played for is the Minnesota Vikings, founded in 1961.

I will now provide the final answer.

[Tool] Stopped generation process


PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?work ?workLabel ?runtime WHERE {
  {
    fb:m.07ldhs fb:film.actor.film ?performance .
    ?performance fb:film.performance.film ?work .
    ?work fb:film.film.runtime ?runtimeNode .
    ?runtimeNode fb:film.film_cut.runtime ?runtime .
    OPTIONAL {
      ?work rdfs:label ?workLabel FILTER ( lang( ?workLabel ) = "en" )
    }
  } UNION {
    fb:m.07ldhs fb:film.actor.film ?performance .
    ?performance fb:film.performance.film ?work .
    ?work fb:tv.tv_program.episode_running_time ?runtime .
    OPTIONAL {
      ?work rdfs:label ?workLabel FILTER ( lang( ?workLabel ) = "en" )
    }
  }
}
ORDER BY DESC ( xsd:float ( ?runtime ) )
LIMIT 1

The movie or TV show starring Taylor Lautner with the longest runtime is "The Twilight Saga: New Moon" with a runtime of 130.0 minutes.

[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] Which of Taylor Lautner's movies and TV had the longest run time?

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

[Tool]
Example 1:
Question:
What TV show which features Taylor Lautner has the longest TV program running time?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07ldhs ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07ldhs fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:tv.tv_program.episode_running_time ?num .
}
ORDER BY DESC ( xsd:integer ( ?num ) )
LIMIT 1

Using entities:
Taylor Lautner, also known as Taylor Daniel Lautner (fb:m.07ldhs): Taylor Daniel Lautner is an American actor, model and martial ar..., Lautner was named the highest-paid teenage actor in Hollywood., has type Martial Artist

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film
Original episode running time (fb:tv.tv_program.episode_running_time): part of TV Program schema, links to type Integer

Example 2:
Question:
Which television program starring Taylor Lautner had the longest episode running time?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07ldhs ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07ldhs fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:tv.tv_program.episode_running_time ?num .
}
ORDER BY DESC ( xsd:integer ( ?num ) )
LIMIT 1

Using entities:
Taylor Lautner, also known as Taylor Daniel Lautner (fb:m.07ldhs): Taylor Daniel Lautner is an American actor, model and martial ar..., Lautner was named the highest-paid teenage actor in Hollywood., has type Martial Artist

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film
Original episode running time (fb:tv.tv_program.episode_running_time): part of TV Program schema, links to type Integer

Example 3:
Question:
What movie has a run time of 106.0 minutes and stars Taylor Lautner?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07ldhs ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07ldhs fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:film.film.runtime ?c .
  ?c fb:film.film_cut.runtime "106.0" .
}

Using entities:
Taylor Lautner, also known as Taylor Daniel Lautner (fb:m.07ldhs): Taylor Daniel Lautner is an American actor, model and martial ar..., Lautner was named the highest-paid teenage actor in Hollywood., has type Martial Artist

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Runtime (fb:film.film.runtime): links to type Film cut, part of Film schema
Runtime (fb:film.film_cut.runtime): links to type Floating Point Number, part of Film cut schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film

[Assistant]
From the examples, I see that Taylor Lautner is identified as fb:m.07ldhs in Freebase. Movies he acted in can be found via the property fb:film.actor.film linking to film performances, and the films themselves are linked via fb:film.performance.film. The runtime for movies is given by fb:film.film.runtime which links to a film cut with a runtime value fb:film.film_cut.runtime.

For TV shows, the episode running time is given by fb:tv.tv_program.episode_running_time.

I will now write a query that retrieves both movies and TV shows of Taylor Lautner with their runtimes and then find the one with the longest runtime.

[Tool]
Got 1 row and 3 columns:
| work                                       | workLabel                        | runtime |
| ------------------------------------------ | -------------------------------- | ------- |
| The Twilight Saga: New Moon (fb:m.05pdh86) | The Twilight Saga: New Moon (en) | 130.0   |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?college ?collegeLabel WHERE {
  ?person fb:people.person.quotations fb:m.048k33b .
  ?person 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" )
  }
}

Got 3 rows and 2 columns:
| college                                                        | collegeLabel                                          |
| -------------------------------------------------------------- | ----------------------------------------------------- |
| Wharton School of the University of Pennsylvania (fb:m.01jtp7) | Wharton School of the University of Pennsylvania (en) |
| Fordham University (fb:m.027kp3)                               | Fordham University (en)                               |
| University of Pennsylvania (fb:m.07tds)                        | University of Pennsylvania (en)                       |

The person who said "The point is that you can't be too greedy" graduated from Wharton School of the University of Pennsylvania, Fordham University, and University of Pennsylvania.

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

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

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

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

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

[User] Where did the person who said "The point is that you can't be too greedy" graduate college from?

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

[Tool]
Example 1:
Question:
What schools were attended by the person who stated "The point is that you can't be too greedy?"?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:people.person.quotations fb:m.048k33b .
  ?c 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.
The point is that you can't be too greedy. (fb:m.048k33b): has type Quotation

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
Quotations (fb:people.person.quotations): links to type Quotation, part of Person schema

Example 2:
Question:
What school did the person attend who said, "Who is rich? He that rejoices in his portion"?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:people.person.quotations fb:m.048k067 .
  ?c fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
}

Using entities:
Who is rich? He that rejoices in his portion. (fb:m.048k067): has type Quotation

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
Quotations (fb:people.person.quotations): links to type Quotation, part of Person schema

Example 3:
Question:
What colleges did the person that said "Sometimes your best investments are the ones you don't make." attend?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:people.person.quotations fb:m.048gmjn .
  ?c 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.
Sometimes your best investments are the ones you don't make. (fb:m.048gmjn): has type Quotation

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
Quotations (fb:people.person.quotations): links to type Quotation, part of Person schema

[Assistant]
From the similar examples, I see that the quotation "The point is that you can't be too greedy" is represented by the entity fb:m.048k33b in Freebase. The pattern to find the college/university from which the person who said this graduated is to find the person who has this quotation, then find their education, and then find the institution of that education.

I will now write a SPARQL query to find the college/university from which the person who said "The point is that you can't be too greedy" graduated.

[Tool]
Got 3 rows and 2 columns:
| college                                                        | collegeLabel                                          |
| -------------------------------------------------------------- | ----------------------------------------------------- |
| Wharton School of the University of Pennsylvania (fb:m.01jtp7) | Wharton School of the University of Pennsylvania (en) |
| Fordham University (fb:m.027kp3)                               | Fordham University (en)                               |
| University of Pennsylvania (fb:m.07tds)                        | University of Pennsylvania (en)                       |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?movie ?movieLabel WHERE {
  ?actor fb:film.actor.film ?performanceJacobBlack .
  ?performanceJacobBlack fb:film.performance.character fb:m.02qd_td .
  ?actor fb:film.actor.film ?performanceOther .
  ?performanceOther fb:film.performance.film ?movie .
  OPTIONAL {
    ?movie rdfs:label ?movieLabel FILTER ( lang( ?movieLabel ) = "en" )
  }
}

Got 19 rows and 2 columns, showing the first 5 and last 5 rows below:
| movie                                                    | movieLabel                                     |
| -------------------------------------------------------- | ---------------------------------------------- |
| Run the Tide (fb:m.011q0_7k)                             | Run the Tide (en)                              |
| The Ridiculous Six (fb:m.012z_7zt)                       | The Ridiculous Six (en)                        |
| He's a Bully, Charlie Brown (fb:m.02686wj)               | He's a Bully, Charlie Brown (en)               |
| Twilight (fb:m.03nm_fh)                                  | Twilight (en)                                  |
| The Twilight Saga: New Moon (fb:m.05pdh86)               | The Twilight Saga: New Moon (en)               |
| ...                                                      | ...                                            |
| The Twilight Saga: Breaking Dawn - Part 2 (fb:m.0djz0rc) | The Twilight Saga: Breaking Dawn - Part 2 (en) |
| Field of Dreams 2: Lockout (fb:m.0g_w5hs)                | Field of Dreams 2: Lockout (en)                |
| Incarceron (fb:m.0gx8qcw)                                | Incarceron (en)                                |
| Grown Ups 2 (fb:m.0mzt5cs)                               | Grown Ups 2 (en)                               |
| Tracers (fb:m.0ngj__s)                                   | Tracers (en)                                   |

The actor who played the character Jacob Black has starred in the following movies: Run the Tide, The Ridiculous Six, He's a Bully, Charlie Brown, Twilight, The Twilight Saga: New Moon, The Twilight Saga: Breaking Dawn - Part 2, Field of Dreams 2: Lockout, Incarceron, Grown Ups 2, and Tracers, among others.

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

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

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

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

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

[User] The actor that played the character Jacob Black has starred in which movies?

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

[Tool]
Example 1:
Question:
What movies did the actor that played the character Jacob Black play in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:film.actor.film ?k .
  ?k fb:film.performance.character fb:m.02qd_td .
  ?c fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
}

Using entities:
Jacob Black, also known as Jake (fb:m.02qd_td): Jacob Black is a character in the Twilight series by Stephenie M...t 1 and Breaking Dawn Part 2, Jacob is played by Taylor Lautner., has type Film character

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Character (fb:film.performance.character): part of Film performance schema, links to type Film character
Film (fb:film.performance.film): part of Film performance schema, links to type Film

Example 2:
Question:
What movies have featured the actor who played Jacob Black?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:film.actor.film ?k .
  ?k fb:film.performance.character fb:m.02qd_td .
  ?c fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
}

Using entities:
Jacob Black, also known as Jake (fb:m.02qd_td): Jacob Black is a character in the Twilight series by Stephenie M...t 1 and Breaking Dawn Part 2, Jacob is played by Taylor Lautner., has type Film character

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Character (fb:film.performance.character): part of Film performance schema, links to type Film character
Film (fb:film.performance.film): part of Film performance schema, links to type Film

Example 3:
Question:
What actor played the character Jacob Black?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:film.film.starring ?k .
  ?k fb:film.performance.actor fb:m.07gyrd1 .
  ?c fb:film.film.starring ?y .
  ?y fb:film.performance.actor ?x .
  ?y fb:film.performance.character fb:m.02qd_td .
}

Using entities:
Jacob Black, also known as Jake (fb:m.02qd_td): Jacob Black is a character in the Twilight series by Stephenie M...t 1 and Breaking Dawn Part 2, Jacob is played by Taylor Lautner., has type Film character
Krys Hyatt (fb:m.07gyrd1): Krys Hyatt is an actor., has type Film actor

Using properties:
Performances (fb:film.film.starring): links to type Film performance, part of Film schema
Actor (fb:film.performance.actor): part of Film performance schema, links to type Film actor
Character (fb:film.performance.character): part of Film performance schema, links to type Film character

[Assistant]
From the examples, I see that the character Jacob Black is identified as fb:m.02qd_td in Freebase. The property fb:film.actor.film links an actor to their film performances, and fb:film.performance.character links a performance to the character played. The property fb:film.performance.film links a performance to the film.

The query pattern to find movies that the actor who played Jacob Black starred in is:
- Find the actor (?c) who has a film performance (?k) where the character is Jacob Black (fb:m.02qd_td).
- Then find all films (?x) that this actor (?c) has film performances in.

I will now execute a query to get the movies that the actor who played Jacob Black has starred in.

[Tool]
Got 19 rows and 2 columns, showing the first 5 and last 5 rows below:
| movie                                                    | movieLabel                                     |
| -------------------------------------------------------- | ---------------------------------------------- |
| Run the Tide (fb:m.011q0_7k)                             | Run the Tide (en)                              |
| The Ridiculous Six (fb:m.012z_7zt)                       | The Ridiculous Six (en)                        |
| He's a Bully, Charlie Brown (fb:m.02686wj)               | He's a Bully, Charlie Brown (en)               |
| Twilight (fb:m.03nm_fh)                                  | Twilight (en)                                  |
| The Twilight Saga: New Moon (fb:m.05pdh86)               | The Twilight Saga: New Moon (en)               |
| ...                                                      | ...                                            |
| The Twilight Saga: Breaking Dawn - Part 2 (fb:m.0djz0rc) | The Twilight Saga: Breaking Dawn - Part 2 (en) |
| Field of Dreams 2: Lockout (fb:m.0g_w5hs)                | Field of Dreams 2: Lockout (en)                |
| Incarceron (fb:m.0gx8qcw)                                | Incarceron (en)                                |
| Grown Ups 2 (fb:m.0mzt5cs)                               | Grown Ups 2 (en)                               |
| Tracers (fb:m.0ngj__s)                                   | Tracers (en)                                   |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?country ?countryLabel WHERE {
  fb:m.03_3d fb:location.statistical_region.places_exported_to ?export .
  ?export fb:location.imports_and_exports.exported_to ?country .
  ?country fb:location.location.time_zones fb:m.05jphn .
  OPTIONAL {
    ?country rdfs:label ?countryLabel FILTER ( lang( ?countryLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| country              | countryLabel |
| -------------------- | ------------ |
| Canada (fb:m.0d060g) | Canada (en)  |

Japan exports to Canada in the Newfoundland Time Zone.

[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 country does Japan export to in the Newfoundland Time Zone?

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

[Tool]
Example 1:
Question:
What country in the Newfoundland Time Zone does Japan import from?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03_3d ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03_3d fb:location.statistical_region.places_imported_from ?y .
  ?y fb:location.imports_and_exports.imported_from ?x .
  ?x fb:location.location.time_zones fb:m.05jphn .
}

Using entities:
Japan, also known as Япония, State of Japan, JAP, NTSC J, Nippon-koku (fb:m.03_3d): Japan is an island country in East Asia. Located in the Pacific ...on of Japan is in Chinese history texts from the 1st century AD., has type Country
Newfoundland Time Zone (fb:m.05jphn): The Newfoundland Time Zone is a geographic region that keeps tim... 52 degrees and 30 arcminutes west of the Greenwich Observatory., has type Time Zone

Using properties:
Imported from (fb:location.imports_and_exports.imported_from): part of Imports and exports schema, links to type Statistical region
Time zone(s) (fb:location.location.time_zones): links to type Time Zone, part of Location schema
Places imported from (fb:location.statistical_region.places_imported_from): links to type Imports and exports, part of Statistical region schema

Example 2:
Question:
What country bordering the Great Lakes uses the local time zone called Newfoundland Time Zone?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03519 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03519 fb:location.location.partially_containedby ?x .
  ?x fb:base.biblioness.bibs_location.loc_type ?sk0 .
  FILTER ( str( ?sk0 ) = "Country" ) ?x fb:location.location.time_zones fb:m.05jphn .
}

Using entities:
Great Lakes, also known as Laurentian Great Lakes (fb:m.03519): The Great Lakes are a series of interconnected freshwater lakes ...duced due to trade, and some threaten the region's biodiversity., has type Body Of Water
Newfoundland Time Zone (fb:m.05jphn): The Newfoundland Time Zone is a geographic region that keeps tim... 52 degrees and 30 arcminutes west of the Greenwich Observatory., has type Time Zone

Using properties:
Type (fb:base.biblioness.bibs_location.loc_type): part of Bibs Location schema, links to type Text
Partially contained by (fb:location.location.partially_containedby): part of Location schema, links to type Location
Time zone(s) (fb:location.location.time_zones): links to type Time Zone, part of Location schema

Example 3:
Question:
What country in Casey Time Zone does New Zealand export to?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0ctw_b ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0ctw_b fb:location.statistical_region.places_exported_to ?y .
  ?y fb:location.imports_and_exports.exported_to ?x .
  ?x fb:location.location.time_zones fb:m.0y498qn .
}

Using entities:
New Zealand, also known as Aotearoa, God's own, Land of the long white cloud, NZ (fb:m.0ctw_b): New Zealand is an island country in the southwestern Pacific Oce...ned the Treaty of Waitangi, making New Zealand a British colony., has type Country
Casey Time Zone (fb:m.0y498qn): has type Time Zone

Using properties:
Exported to (fb:location.imports_and_exports.exported_to): part of Imports and exports schema, links to type Statistical region
Time zone(s) (fb:location.location.time_zones): links to type Time Zone, part of Location schema
Places exported to (fb:location.statistical_region.places_exported_to): links to type Imports and exports, part of Statistical region schema

[Assistant]
From the examples, I see that the relevant properties for exports are:
- fb:location.statistical_region.places_exported_to (linking a country to places it exports to)
- fb:location.imports_and_exports.exported_to (linking an export relation to the country exported to)
- fb:location.location.time_zones (linking a country to its time zones)

And the relevant entities are:
- Japan (fb:m.03_3d)
- Newfoundland Time Zone (fb:m.05jphn)

I will now construct a SPARQL query to find the countries that Japan exports to and that are in the Newfoundland Time Zone.

[Tool]
Got 1 row and 2 columns:
| country              | countryLabel |
| -------------------- | ------------ |
| Canada (fb:m.0d060g) | Canada (en)  |

[Tool] Stopped generation process