PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?college ?collegeLabel WHERE {
  fb:m.09bg4l fb:people.person.education ?education .
  ?education fb:education.education.institution ?college .
  ?college fb:organization.organization.date_founded ?dateFounded .
  OPTIONAL {
    ?college rdfs:label ?collegeLabel .
    FILTER ( lang( ?collegeLabel ) = 'en' )
  }
}
ORDER BY DESC ( ?dateFounded )
LIMIT 1

The youngest college that Harry S Truman attended is the University of Missouri–Kansas City.

[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 youngest college did Harry S Truman attend?

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

[Tool]
Example 1:
Question:
What is the youngest college attended by President Eisenhower?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.028rk ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.028rk fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:common.topic.notable_types fb:m.01y2hnl .
  ?x fb:organization.organization.date_founded ?num .
}
ORDER BY DESC ( ?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.
Dwight D. Eisenhower, also known as David Dwight Eisenhower, President Eisenhower, President Dwight D. Eisenhower, Pres. Dwight D. Eisenhower, Ike (fb:m.028rk): Dwight David "Ike" Eisenhower was the 34th President of the Unit... A. Taft, campaigning against "Communism, Korea and corruption"., has type US President

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

Example 2:
Question:
Where did Harry S Truman go to school and what is the organizations latest founding date?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.09bg4l ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.09bg4l fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:organization.organization.date_founded ?num .
}
ORDER BY DESC ( ?num )
LIMIT 1

Using entities:
Harry S. Truman, also known as The Man From Missouri, President Harry S Truman, President Truman, President Harry Truman, President Harry S. Truman (fb:m.09bg4l): Harry S. Truman was the 33rd President of the United States. As ...r with Imperial Japan was expected to last another year or more., Harry S. Truman is an author., has type US President

Using properties:
Institution (fb:education.education.institution): links to type Educational Institution, part of Education schema
Date founded (fb:organization.organization.date_founded): part of Organization schema, links to type Date/Time
Education (fb:people.person.education): links to type Education, part of Person schema

Example 3:
Question:
What university with over 9,381 undergraduates did Harry S. Truman attend?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.09bg4l ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.09bg4l fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:education.university.number_of_undergraduates ?c .
  ?c fb:measurement_unit.dated_integer.number ?num .
  FILTER ( xsd:integer ( ?num ) > 9381 ) .
}

Using entities:
Harry S. Truman, also known as The Man From Missouri, President Harry S Truman, President Truman, President Harry Truman, President Harry S. Truman (fb:m.09bg4l): Harry S. Truman was the 33rd President of the United States. As ...r with Imperial Japan was expected to last another year or more., Harry S. Truman is an author., has type US President

Using properties:
Institution (fb:education.education.institution): links to type Educational Institution, part of Education schema
Number of undergraduates (fb:education.university.number_of_undergraduates): 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 similar examples, I see that Harry S Truman is identified as fb:m.09bg4l in Freebase. The property for education is fb:people.person.education, and the institution attended is linked by fb:education.education.institution. The founding date of the institution is given by fb:organization.organization.date_founded.

I will now write a SPARQL query to find the youngest college Harry S Truman attended by ordering the colleges he attended by their founding date in descending order and limiting the result to 1.

[Tool]
Got 1 row and 2 columns:
| college                                          | collegeLabel                            |
| ------------------------------------------------ | --------------------------------------- |
| University of Missouri–Kansas City (fb:m.016vf7) | University of Missouri–Kansas City (en) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?film WHERE {
  fb:m.0f4vbz fb:film.director.film ?film .
  ?film fb:film.film.starring fb:g.122bg1tz .
}

There is no movie in the Freebase data where Angelina Jolie directed Gabor Piroch.

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

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

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

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

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

[User] What was the name of the movie where Angelina Jolie directed Gabor Piroch?

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

[Tool]
Example 1:
Question:
What film directed by Angelina Jolie was released first?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0f4vbz ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0f4vbz fb:film.director.film ?x .
  ?x fb:film.film.initial_release_date ?num .
}
ORDER BY ?num
LIMIT 1

Using entities:
Angelina Jolie, also known as AJ, Angie, Angelina Jolie Voight, Angelina, Ange (fb:m.0f4vbz): Angelina Jolie Pitt is an American actress, filmmaker, and human... the wartime dramas In the Land of Blood and Honey and Unbroken., has type Celebrity

Using properties:
Films directed (fb:film.director.film): part of Film director schema, links to type Film
Initial release date (fb:film.film.initial_release_date): links to type Date/Time, part of Film schema

Example 2:
Question:
What is the most recently released movie directed by Angelina Jolie?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0f4vbz ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0f4vbz fb:film.director.film ?x .
  ?x fb:film.film.release_date_s ?c .
  ?c fb:film.film_regional_release_date.release_date ?num .
}
ORDER BY DESC ( ?num )
LIMIT 1

Using entities:
Angelina Jolie, also known as AJ, Angie, Angelina Jolie Voight, Angelina, Ange (fb:m.0f4vbz): Angelina Jolie Pitt is an American actress, filmmaker, and human... the wartime dramas In the Land of Blood and Honey and Unbroken., has type Celebrity

Using properties:
Films directed (fb:film.director.film): part of Film director schema, links to type Film
Release date(s) (fb:film.film.release_date_s): links to type Film regional release date, part of Film schema
Release Date (fb:film.film_regional_release_date.release_date): part of Film regional release date schema, links to type Date/Time

Example 3:
Question:
What movie that Angelina Jolie directed was produced by Mick Garris?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0f4vbz ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0f4vbz fb:film.director.film ?x .
  ?x fb:film.film.executive_produced_by fb:m.0d4_x9 .
}

Using entities:
Mick Garris, also known as Michael Alan Garris (fb:m.0d4_x9): Mick Garris is an American filmmaker and screenwriter born in Santa Monica, California., has type Film director
Angelina Jolie, also known as AJ, Angie, Angelina Jolie Voight, Angelina, Ange (fb:m.0f4vbz): Angelina Jolie Pitt is an American actress, filmmaker, and human... the wartime dramas In the Land of Blood and Honey and Unbroken., has type Celebrity

Using properties:
Films directed (fb:film.director.film): part of Film director schema, links to type Film
Executive produced by (fb:film.film.executive_produced_by): links to type Film producer, part of Film schema

[Assistant]
From the examples, I see that Angelina Jolie is identified as fb:m.0f4vbz in Freebase. The property for films directed by a director is fb:film.director.film.

Next, I need to find the entity for Gabor Piroch and check if he is associated with any films directed by Angelina Jolie. I will start by searching for the entity "Gabor Piroch" in Freebase.

[Tool]
Top 10 entity alternatives:
1. Gábor Piroch (fb:g.122bg1tz): Gábor Piroch appeared in the 2011 film In the Land of Blood And Honey., has type Film actor
2. Gabor (fb:m.0_z9z20): Gabor is a 2013 docu-drama film written and directed by Sebastián Alfie., has type Film
3. Gabor (fb:m.013bkyr5): has type Musical Recording
4. Gabor (fb:m.0h2647w): Gabor is a fictional character from the 2011 film Sleeping Sickness., has type Film character
5. Gabor (fb:m.0ycm515): has type Musical Recording
6. Gabor (fb:m.0nltj5m): has type Musical Recording
7. Gábor (fb:m.0vyk_23): Gábor is a fictional character from the 2013 film Silent Ones., has type Film character
8. Gabor (fb:m.0x0jhcn): Gabor is a fictional character from the 2009 film Janosik: A True Story., has type Film character
9. Gábor, also known as Irén's husband (fb:m.0y7prvk): Gábor is a fictional character from the 1979 film A Priceless Day., has type Film character
10. Gábor (fb:m.0y50s9p): Gábor is a fictional character from the 2010 film Question in Details., has type Film character

[Assistant] I found an entity Gábor Piroch (fb:g.122bg1tz) who appeared in the 2011 film "In the Land of Blood And Honey." He has the type Film actor. Now I will check the films directed by Angelina Jolie (fb:m.0f4vbz) to see if Gábor Piroch acted in any of them. I will query the films directed by Angelina Jolie and check if Gábor Piroch is in the cast of those films.

[Tool] Got no rows and 1 columns

[Assistant] There are no films directed by Angelina Jolie in which Gábor Piroch starred according to the data. I will now check if there might be any other related properties or if Gábor Piroch might have a different role in a film directed by Angelina Jolie. I will search for properties of the film directed by Angelina Jolie that might relate to Gabor Piroch.

[Tool]
Top 10 property alternatives:
1. Films Produced (fb:film.producer.film): part of Film producer schema, links to type Film
2. Films directed (fb:film.director.film): part of Film director schema, links to type Film
3. Films appeared in (fb:film.person_or_entity_appearing_in_film.films): part of Person or entity appearing in film schema, links to type Personal film appearance
4. Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
5. Films edited (fb:film.editor.film): part of Film editor schema, links to type Film
6. Film writing credits (fb:film.writer.film): part of Film writer schema, links to type Film
7. Subjects (fb:common.topic.subjects): part of Topic schema, links to type Topic
8. Films Executive Produced (fb:film.producer.films_executive_produced): part of Film producer schema, links to type Film
9. Image (fb:common.topic.image): part of Topic schema, links to type Image
10. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country

No other items found

[Assistant] I found that Angelina Jolie has the property "Films directed" (fb:film.director.film) which we already used. To check if Gabor Piroch appeared in any film directed by Angelina Jolie, I should check the starring or actor property of those films. I will now check the starring actors of films directed by Angelina Jolie to see if Gabor Piroch is among them.

[Tool] Got no rows and 2 columns

[Assistant] There are no films directed by Angelina Jolie where an actor with the name containing "Gabor Piroch" is listed as starring. I will now try a different approach by checking the films in which Gabor Piroch appeared and see if any of those films were directed by Angelina Jolie.

[Tool] Got no rows and 1 columns

[Assistant] There are no films where Gabor Piroch acted that were directed by Angelina Jolie according to the data. It seems there is no movie where Angelina Jolie directed Gabor Piroch. I will now finalize the answer.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?profession ?professionLabel WHERE {
  fb:m.04yd_ fb:people.person.profession ?profession .
  OPTIONAL {
    ?profession rdfs:label ?professionLabel FILTER ( LANG( ?professionLabel ) = "en" )
  }
}

Got 6 rows and 2 columns:
| profession                | professionLabel |
| ------------------------- | --------------- |
| Professor (fb:m.016fly)   | Professor (en)  |
| Monk (fb:m.0266rh)        | Monk (en)       |
| Theologian (fb:m.02kvl3l) | Theologian (en) |
| Physician (fb:m.05t4q)    | Physician (en)  |
| Priest (fb:m.05xjb)       | Priest (en)     |
| Writer (fb:m.0cbd2)       | Writer (en)     |

Martin Luther lived from 1483 to 1546, so the year 1805 is not applicable to him. According to the knowledge graph, Martin Luther had professions such as Professor, Monk, Theologian, Physician, Priest, and Writer. However, there is no specific information available about what he did after leading a religious organization or after a specific year like 1805.

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

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

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

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

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

[User] What did Martin Luther do after 1805 when no longer leading a religious organization?

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

[Tool]
Example 1:
Question:
In what city, town, or village did Martin Luther live?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.04yd_ ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.04yd_ fb:people.person.places_lived ?y .
  ?y fb:people.place_lived.location ?x .
  ?x fb:kg.object_profile.prominent_type fb:location.citytown .
}

Using entities:
City/Town/Village (fb:location.citytown)
Martin Luther (fb:m.04yd_): Martin Luther was a German friar, priest and professor of theolo... by considering all baptized Christians to be a holy priesthood., has type Founding Figure

Using properties:
Places lived (fb:people.person.places_lived): links to type Place lived, part of Person schema
Location (fb:people.place_lived.location): part of Place lived schema, links to type Location

Example 2:
Question:
Where was the home of Heretic, a character in the film Martin Luther?

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.0523vf4 .
  ?c fb:people.person.places_lived ?y .
  ?y fb:people.place_lived.location ?x .
}

Using entities:
Martin Luther, Heretic (fb:m.0523vf4): Martin Luther, Heretic was a film made in 1983 to commemorate th... at the end of the film, the actor slips this mask off his face., has type Film

Using properties:
Films On This Subject (fb:film.film_subject.films): part of Film subject schema, links to type Film
Places lived (fb:people.person.places_lived): links to type Place lived, part of Person schema
Location (fb:people.place_lived.location): part of Place lived schema, links to type Location

Example 3:
Question:
Where is the government jurisdiction where Lutz TrÃ¼mper holds office and Martin luther lived?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.04yd_ ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.04yd_ fb:people.person.places_lived ?y .
  ?y fb:people.place_lived.location ?x .
  ?x fb:government.governmental_jurisdiction.governing_officials ?c .
  ?c fb:government.government_position_held.office_holder fb:m.0c6bdt7 .
}

Using entities:
Martin Luther (fb:m.04yd_): Martin Luther was a German friar, priest and professor of theolo... by considering all baptized Christians to be a holy priesthood., has type Founding Figure
Lutz Trümper (fb:m.0c6bdt7): has type Politician

Using properties:
Officeholder (fb:government.government_position_held.office_holder): part of Government Position Held schema, links to type Politician
Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held
Places lived (fb:people.person.places_lived): links to type Place lived, part of Person schema
Location (fb:people.place_lived.location): part of Place lived schema, links to type Location

[Assistant]
The examples found do not directly answer the question about what Martin Luther did after 1805 when no longer leading a religious organization. Also, the year 1805 is historically inconsistent with Martin Luther's life since he lived from 1483 to 1546.

I will first verify the entity "Martin Luther" in the knowledge graph to confirm the correct entity and then explore his roles or activities after a certain period or event.

[Tool]
Top 10 entity alternatives:
1. Martin Luther (fb:m.04yd_): Martin Luther was a German friar, priest and professor of theolo... by considering all baptized Christians to be a holy priesthood., has type Founding Figure
2. Martin Luther McCoy, also known as Luther, Martin (fb:m.03c5v8_): Martin Luther McCoy is an American musician and actor. The San F...no, incorporating the wider range of instruments into his music., has type Musical Artist
3. Martin Luther (fb:m.02q4js5): Martin Luther is a 1953 film biography of Martin Luther. It was ...and Jaroslav Pelikan who assisted Allan Sloane and Lothar Wolff., has type Film
4. Luther Martin (fb:m.02q28h): Luther Martin was a politician and one of the United States' Fou...eorge Mason, whose actions helped passage of the Bill of Rights., has type Politician
5. Martin Luther, also known as Luther, Martin (fb:m.0gcv8zb): has type Fictional Character
6. Martin Luther (fb:m.0vxg9_v): Martin Luther is a 1923 German silent historical film directed b...t only through copies intended for distribution outside Germany., has type Film
7. Martin Luther (fb:m.0935w27): has type Book Edition
8. Martin Luther (fb:m.0n9fwbp): Martin Luther was the son of Martin Luther., has type Deceased Person
9. Martin Luther (fb:m.0c8nfn6): has type Book Edition
10. Martin Luther (fb:m.0n4cd5s): Martin Luther is a steam locomotive abandoned in the desert of S...gine driver hired to drive it had already left for Europe again.

[Assistant] The correct entity for the historical figure Martin Luther is fb:m.04yd_. Now I will search for properties related to his roles or activities, especially focusing on any leadership or religious organization roles and what he did after such roles.

[Tool]
Top 10 property alternatives:
1. Profession (fb:people.person.profession): links to type Profession, part of Person schema
2. Gender (fb:people.person.gender): part of Person schema, links to type Gender
3. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
4. Category (fb:base.kwebbase.kwtopic.category): part of KWTopic schema, links to type Text
5. Key (fb:type.object.key): part of Object schema, links to type Key
6. Type (fb:type.object.type): part of Object schema, links to type Type
7. Name (fb:type.object.name): part of Object schema, links to type Text
8. Has sentences (fb:base.kwebbase.kwtopic.has_sentences): links to type KWSentence, part of KWTopic schema
9. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
10. Spouse (or domestic partner) (fb:people.person.spouse_s): links to type Marriage, part of Person schema

No other items found

[Assistant] There is no direct property related to "role" or "leadership" for Martin Luther in the knowledge graph. I will try searching for properties related to "occupation" or "profession" to see what roles or activities are associated with him.

[Tool]
Top 10 property alternatives:
1. Profession (fb:people.person.profession): links to type Profession, part of Person schema
2. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
3. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
4. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
5. Gender (fb:people.person.gender): part of Person schema, links to type Gender
6. Disciplines (fb:base.kwebbase.kwtopic.disciplines): part of KWTopic schema, links to type Text
7. Ethnicity (fb:people.person.ethnicity): links to type Ethnicity, part of Person schema
8. Date of death (fb:people.deceased_person.date_of_death): part of Deceased Person schema, links to type Date/Time
9. Type (fb:type.object.type): part of Object schema, links to type Type
10. Category (fb:base.kwebbase.kwtopic.category): part of KWTopic schema, links to type Text

No other items found

[Assistant] The property "Profession" (fb:people.person.profession) seems relevant to find out what Martin Luther did. I will now query the professions of Martin Luther.

[Tool]
Got 6 rows and 2 columns:
| profession                | professionLabel |
| ------------------------- | --------------- |
| Professor (fb:m.016fly)   | Professor (en)  |
| Monk (fb:m.0266rh)        | Monk (en)       |
| Theologian (fb:m.02kvl3l) | Theologian (en) |
| Physician (fb:m.05t4q)    | Physician (en)  |
| Priest (fb:m.05xjb)       | Priest (en)     |
| Writer (fb:m.0cbd2)       | Writer (en)     |

[Assistant]
Martin Luther had professions such as Professor, Monk, Theologian, Physician, Priest, and Writer. The question asks specifically about what he did after 1805 when no longer leading a religious organization, but Martin Luther lived from 1483 to 1546, so the year 1805 is not applicable to him.

I will now check if there is any information about his leadership in a religious organization and what he did after that. I will search for properties related to leadership or organization for Martin Luther.

[Tool]
Top 10 property alternatives:
1. Parents (fb:people.person.parents): part of Person schema, links to type Person
2. Name (fb:type.object.name): part of Object schema, links to type Text
3. Key (fb:type.object.key): part of Object schema, links to type Key
4. Disciplines (fb:base.kwebbase.kwtopic.disciplines): part of KWTopic schema, links to type Text
5. Profession (fb:people.person.profession): links to type Profession, part of Person schema
6. Assessment (fb:base.kwebbase.kwtopic.assessment): part of KWTopic schema, links to type Text
7. Gender (fb:people.person.gender): part of Person schema, links to type Gender
8. Image (fb:common.topic.image): part of Topic schema, links to type Image
9. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
10. Influenced (fb:influence.influence_node.influenced): part of Influence Node schema, links to type Influence Node

No other items found

[Assistant]
There are no direct properties related to leadership or religious organization for Martin Luther in the knowledge graph. Given the historical context and the data available, it seems the knowledge graph does not have specific information about what Martin Luther did after leading a religious organization or after a specific year like 1805.

Since the year 1805 is historically inconsistent with Martin Luther's lifetime, and the knowledge graph does not provide specific information about his activities after leading a religious organization, I cannot provide a precise answer to the question based on the available data.

I will now provide a final response explaining this.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?work ?workLabel WHERE {
  fb:m.08l257 fb:film.actor.film ?performance .
  ?performance fb:film.performance.film ?work .
  ?work fb:award.award_nominated_work.award_nominations ?nomination .
  ?nomination fb:award.award_nomination.notes_description "The Big Event" @en .
  OPTIONAL {
    ?work rdfs:label ?workLabel .
    FILTER ( lang( ?workLabel ) = "en" )
  }
}

Kim Richards was in the work 'Raid on Entebbe' which was nominated for an award with the description 'The Big Event'.

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

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

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

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

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

[User] What was Kim Richards in that was nominated for an award with the description "The Big Event"?

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

[Tool]
Example 1:
Question:
What movie starring Robert Pattinson that was decorated by Lesley Beale?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.062dn7 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.062dn7 fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:film.film.film_set_decoration_by fb:m.08n57k7 .
}

Using entities:
Robert Pattinson, also known as Rob, R.T. Pattinson, R-Pattz, R. Pattinson, Rob Pattinson (fb:m.062dn7): Robert Douglas Thomas Pattinson is an English actor, model, musi...re in David Cronenberg's Cosmopolis, earned him critical praise., has type Celebrity
Lesley Beale, also known as Leslie Beale (fb:m.08n57k7): Lesley Beale is a set decorator., has type Film set decorator

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Set Decoration by (fb:film.film.film_set_decoration_by): links to type Film set decorator, part of Film schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film

Example 2:
Question:
What did Regina Hall play in that has the largest Netflix ID?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.072z_t ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.072z_t fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:film.film.netflix_id ?num .
}
ORDER BY DESC ( xsd:integer ( ?num ) )
LIMIT 1

Using entities:
Regina Hall (fb:m.072z_t): Regina Hall is an American film and television actress known for...an Too and as Corretta Lipp in the FOX comedy-drama Ally McBeal., has type Musical Artist

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Netflix ID (fb:film.film.netflix_id): links to type Enumeration, part of Film schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film

Example 3:
Question:
Which movie made by "20th Century Fox", that actor Robert Pattinson was in, that was nominated for an award?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.062dn7 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.062dn7 fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:award.award_nominated_work.award_nominations ?c .
  ?c fb:award.award_nomination.notes_description "20th Century Fox" @en .
}

Using entities:
Robert Pattinson, also known as Rob, R.T. Pattinson, R-Pattz, R. Pattinson, Rob Pattinson (fb:m.062dn7): Robert Douglas Thomas Pattinson is an English actor, model, musi...re in David Cronenberg's Cosmopolis, earned him critical praise., has type Celebrity

Using properties:
Award Nominations (fb:award.award_nominated_work.award_nominations): part of Award-Nominated Work schema, links to type Award Nomination
Notes/Description (fb:award.award_nomination.notes_description): part of Award Nomination schema, links to type Text
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

[Assistant]
From the examples, it is clear that the query should find the entity for Kim Richards, then find the films or works she was in, and then check for award nominations with the description "The Big Event".

Step 1: Search for the entity Kim Richards in Freebase.

[Tool]
Top 10 entity alternatives:
1. Kim Richards, also known as Kimberly Richards, Kim Richards-Brinson, Kimberly "Kim" Richards (fb:m.08l257): Kimberly "Kim" Richards is an American actress. She is a former ... reality-television series The Real Housewives of Beverly Hills., has type TV Personality
2. Kim Richards (fb:m.0k226mc): has type Person
3. Kim Richards (fb:m.0_mwht3): Kim Richards is the mother of American Football player Aschan Richards., has type Person
4. Kim Richardson (fb:m.0v347q4): Kim Richardson is a Canadian singer and actress, who won two Jun...ards of Canada. Her third single, "I Want It", followed in 1987., Kim Richardson is a 1986 Juno Award winning singer for the award Most Promising Female Vocalist of the Year., Kim Richardson is a singer, songwriter and actress., has type Musical Artist
5. Kimberley Richardson, also known as Kimberley Richardson Lindley, Kimberly Richardson, Kim Richardson (fb:m.0bwb0qb): Kimberley Richardson is a set decorator., has type Film crewmember
6. Kim Richardson (fb:m.0v2xl0q): Kim Richardson is an actress., has type Film actor
7. Kimmi Richards (fb:m.0w0kdxp): Kimmi Richards is an actress., has type Film actor
8. Kimberley Richards (fb:m.0v2tcm1): Kimberley Richards is a Juno Award nominated artist., has type Award Nominee
9. Kim Richardson (fb:m.0ggj0gf): has type Film crewmember
10. Joely Richardson, also known as Joely Kim Richardson (fb:m.03f4w4): Joely Kim Richardson is an English actress, known for her role a...d the Hollywood film adaptation The Girl with the Dragon Tattoo., has type Film actor

[Assistant] The most relevant entity for Kim Richards is fb:m.08l257, an American actress and TV personality. Next, I will search for the films or works Kim Richards (fb:m.08l257) was in.

[Tool]
Got 12 rows and 3 columns, showing the first 10 rows below:
| subject                    | property                               | object        |
| -------------------------- | -------------------------------------- | ------------- |
| Kim Richards (fb:m.08l257) | Film performances (fb:film.actor.film) | fb:m.0131hj6c |
| Kim Richards (fb:m.08l257) | Film performances (fb:film.actor.film) | fb:m.02vblh0  |
| Kim Richards (fb:m.08l257) | Film performances (fb:film.actor.film) | fb:m.03jrr4j  |
| Kim Richards (fb:m.08l257) | Film performances (fb:film.actor.film) | fb:m.03kzv77  |
| Kim Richards (fb:m.08l257) | Film performances (fb:film.actor.film) | fb:m.03lbqgb  |
| Kim Richards (fb:m.08l257) | Film performances (fb:film.actor.film) | fb:m.04ls5jd  |
| Kim Richards (fb:m.08l257) | Film performances (fb:film.actor.film) | fb:m.0bh5pzy  |
| Kim Richards (fb:m.08l257) | Film performances (fb:film.actor.film) | fb:m.0cs4vlm  |
| Kim Richards (fb:m.08l257) | Film performances (fb:film.actor.film) | fb:m.0gm2jw7  |
| Kim Richards (fb:m.08l257) | Film performances (fb:film.actor.film) | fb:m.0h2y41y  |
| ...                        | ...                                    | ...           |

[Assistant] Kim Richards was in several films or works. Now I will check which of these works were nominated for an award with the description "The Big Event". I will write a SPARQL query to find such works.

[Tool]
Got 1 row and 1 column:
| work                          |
| ----------------------------- |
| Raid on Entebbe (fb:m.0dnh5w) |

[Tool]
Got 1 row and 2 columns:
| work                          | workLabel            |
| ----------------------------- | -------------------- |
| Raid on Entebbe (fb:m.0dnh5w) | Raid on Entebbe (en) |

[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 DISTINCT ?attraction ?attractionLabel ?capacity WHERE {
  fb:m.0fhp9 fb:travel.travel_destination.tourist_attractions ?attraction .
  ?attraction fb:architecture.venue.capacity ?capacity .
  FILTER ( xsd:integer ( ?capacity ) < 4900 ) .
  OPTIONAL {
    ?attraction rdfs:label ?attractionLabel .
    FILTER ( lang( ?attractionLabel ) = "en" )
  }
}

The attraction in Vienna, Austria with a capacity of less than 4900 is the Vienna State Opera with a capacity of 2100.

[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 attractions in Vienna, Austria have a capacity of less than 4900?

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

[Tool]
Example 1:
Question:
What attraction in Bangkok has a maximum capacity of 49772?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0fn2g ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0fn2g fb:travel.travel_destination.tourist_attractions ?x .
  ?x fb:architecture.venue.capacity "49772" .
}

Using entities:
Bangkok, also known as bangkok, Krung Thep Mahanakhon, Bangkok, Thailand (fb:m.0fn2g): Bangkok is the capital and the most populous city of Thailand. I... constitutional rule and underwent numerous coups and uprisings., has type City/Town/Village

Using properties:
Seating capacity (fb:architecture.venue.capacity): links to type Integer, part of Venue schema
Tourist attractions (fb:travel.travel_destination.tourist_attractions): part of Travel destination schema, links to type Tourist attraction

Example 2:
Question:
Which tourist attraction in Sydney has a capacity larger than 5738?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.06y57 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.06y57 fb:travel.travel_destination.tourist_attractions ?x .
  ?x fb:architecture.venue.capacity ?num .
  FILTER ( xsd:integer ( ?num ) > 5738 ) .
}

Using entities:
Sydney, also known as Sidney, Australia, Sydney, Australia, Sydney,NSW,Australia (fb:m.06y57): Sydney /ˈsɪdni/ is the state capital of New South Wales and the ...making Sydney one of the most multicultural cities in the world., has type City/Town/Village

Using properties:
Seating capacity (fb:architecture.venue.capacity): links to type Integer, part of Venue schema
Tourist attractions (fb:travel.travel_destination.tourist_attractions): part of Travel destination schema, links to type Tourist attraction

Example 3:
Question:
What attraction should I visit in downtown Chicago that has a venue capacity lower than 41159?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01_d4 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01_d4 fb:travel.travel_destination.tourist_attractions ?x .
  ?x fb:location.location.containedby fb:m.01_d4 .
  ?x fb:architecture.venue.capacity ?num .
  FILTER ( xsd:integer ( ?num ) < 41159 ) .
}

Using entities:
Chicago, also known as Chicago, Chicagoland, The Windy City, The City With Broad Shoulders, The City That Works, DuPage County / Chicago city (fb:m.01_d4): Chicago is the third most populous city in the United States. Wi...Chicago hosted 50.2 million international and domestic visitors., has type City/Town/Village

Using properties:
Seating capacity (fb:architecture.venue.capacity): links to type Integer, part of Venue schema
Contained by (fb:location.location.containedby): part of Location schema, links to type Location
Tourist attractions (fb:travel.travel_destination.tourist_attractions): part of Travel destination schema, links to type Tourist attraction

[Assistant]
From the examples, we see that "Vienna, Austria" should be identified as an entity, and the relevant properties are "tourist attractions" and "venue capacity" (fb:architecture.venue.capacity). We want to find tourist attractions in Vienna with a capacity less than 4900.

Next, I will search for the entity "Vienna, Austria" in the freebase knowledge graph to get its identifier.

[Tool]
Top 10 entity alternatives:
1. Vienna, also known as Vienna Austria, Vienna, Austria, Wien (fb:m.0fhp9): Vienna is the capital and largest city of Austria, and one of th...01, the city centre was designated a UNESCO World Heritage Site., has type City/Town/Village
2. Vienna, Austria (fb:m.0jqflfy): has type TV Episode
3. Series 1, Day 8, also known as Vienna, Austria - Vienna (fb:m.07l1fhd): The tourists visit Vienna. After a game of animal charades the group take a trip around the oldest zoo in the world., has type TV Episode
4. Series 3, Day 26, also known as Austria - Vienna (fb:m.07l1ghc): The coach reaches Vienna and the group enjoy some musical treats...e row with two new tourists who don't want to play by his rules., has type TV Episode
5. Vienna, also known as Austria - Vienna (fb:m.0jsnn_k): The coach travelled east to the Austrian capital Vienna where th...o the frames of mirrors. Later on, the group went to a fun fair., has type TV Episode
6. Albertinaplatz (Vienna, Austria) (fb:m.0bnzv6c)
7. Kosmos-Kino (Vienna, Austria) (fb:m.0bp0010)
8. Schönbrunn (Vienna, Austria) (fb:m.0bp650b)
9. Ringstrasse (Vienna, Austria) (fb:m.0bnzs_q)
10. Vienna Basin (Austria) (fb:m.0bnw6nw)

[Assistant] The entity for Vienna, Austria is fb:m.0fhp9. Next, I will check the property for tourist attractions related to Vienna. I will search for properties of the Vienna entity with the query "tourist attraction".

[Tool]
Top 10 property alternatives:
1. Tourist attractions (fb:travel.travel_destination.tourist_attractions): part of Travel destination schema, links to type Tourist attraction
2. Museums (fb:user.carmenmfenn1.default_domain.cityscape.museums): part of Cityscape schema, links to type Museum
3. Tour operators (fb:travel.travel_destination.tour_operators): part of Travel destination schema, links to type Tour operator
4. Vacationers (fb:base.popstra.location.vacationers): links to type Vacation Choice, part of Location schema
5. Designation as Natural or Cultural Site (fb:protected_sites.listed_site.designation_as_natural_or_cultural_site): links to type Natural or Cultural Site Listing, part of Listed Site schema
6. Parks and Gardens (fb:user.carmenmfenn1.default_domain.cityscape.parks): links to type Botanical garden, part of Cityscape schema
7. How to get here (fb:travel.travel_destination.how_to_get_here): part of Travel destination schema, links to type Transportation
8. Country (fb:location.administrative_division.country): part of Administrative Division schema, links to type Country
9. Country (fb:base.biblioness.bibs_location.country): part of Bibs Location schema, links to type Location
10. Local transportation (fb:travel.travel_destination.local_transportation): links to type Mass Transportation System, part of Travel destination schema

No other items found

[Assistant] The property for tourist attractions related to Vienna is fb:travel.travel_destination.tourist_attractions. Next, I will search for the property related to capacity for these attractions. I will search for properties with the query "capacity".

[Tool]
Top 10 property alternatives:
1. Capacity (fb:user.mrmasterbastard.default_domain.smith_wesson_revolver.capacity): links to type Floating Point Number, part of revolver schema
2. Capacity (fb:engineering.piston_engine.capacity): links to type Floating Point Number, part of Piston engine schema
3. Capacity (fb:engineering.battery.capacity): links to type Floating Point Number, part of Battery schema
4. Capacity (fb:base.livemusic.concert_venue.capacity): part of Concert Venue schema, links to type Integer
5. Capacity (fb:engineering.battery_size_cell_variation.capacity): part of Battery size cell variation schema, links to type Floating Point Number
6. Capacity (fb:base.gadgets.battery.capacity): links to type Floating Point Number, part of Battery schema
7. Capacity (fb:skiing.lift_tenure.capacity): part of Lift tenure schema, links to type Integer
8. Capacity (fb:base.prison.prison.capacity): links to type Dated Integer, part of Prison schema
9. Capacity (AH) (fb:base.evsbase.battery_type.capacity_ah): part of Battery Type schema, links to type Text
10. Capacity (total) (fb:base.venuebase.venue.capacity): links to type Dated Integer, part of Venue schema

[Assistant] The relevant property for venue capacity is fb:base.venuebase.venue.capacity. Now I will construct a SPARQL query to find tourist attractions in Vienna with a capacity less than 4900.

[Tool] Got no rows and 3 columns

[Assistant] The query returned no results, which might mean that the capacity property is not directly linked to the tourist attractions or the property I used is not correct. I will try using the property fb:architecture.venue.capacity for capacity, as seen in the examples. I will run the query again with this property.

[Tool]
Got 1 row and 3 columns:
| attraction                       | attractionLabel         | capacity |
| -------------------------------- | ----------------------- | -------- |
| Vienna State Opera (fb:m.021c8v) | Vienna State Opera (en) | 2100     |

[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 {
  fb:m.05c10yf fb:people.person.education ?education .
  ?education fb:education.education.institution ?college .
  ?college fb:education.university.number_of_postgraduates ?postgradCount .
  ?postgradCount fb:measurement_unit.dated_integer.number "11756" .
  OPTIONAL {
    ?college rdfs:label ?collegeLabel .
    FILTER ( lang( ?collegeLabel ) = "en" )
  }
}

Russell Wilson went to the University of Wisconsin-Madison, which has a postgraduate count of 11756.

[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 with postgraduate count 11756 did Russell Wilson go to?

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

[Tool]
Example 1:
Question:
What University has 1106 postgraduates and includes former President Woodrow Wilson as an alumni?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.083q7 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.083q7 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 "1106" .
}

Using entities:
Woodrow Wilson, also known as The Schoolmaster, Wilson, Woodrow, Thomas Woodrow Wilson, The Professor, The Phrasemaker (fb:m.083q7): Thomas Woodrow Wilson was an American politician and academic wh...ve legislative policies unparalleled until the New Deal in 1933., has type US President

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 2:
Question:
Which university attended by Woodrow Wilson has more than 1048 postgraduates?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.083q7 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.083q7 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 .
  FILTER ( xsd:integer ( ?num ) > 1048 ) .
}

Using entities:
Woodrow Wilson, also known as The Schoolmaster, Wilson, Woodrow, Thomas Woodrow Wilson, The Professor, The Phrasemaker (fb:m.083q7): Thomas Woodrow Wilson was an American politician and academic wh...ve legislative policies unparalleled until the New Deal in 1933., has type US President

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:
Which colleges with more than 1106 postgraduates were attended by Woodrow Wilson?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.083q7 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.083q7 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 .
  FILTER ( xsd:integer ( ?num ) > 1106 ) .
}

Using entities:
Woodrow Wilson, also known as The Schoolmaster, Wilson, Woodrow, Thomas Woodrow Wilson, The Professor, The Phrasemaker (fb:m.083q7): Thomas Woodrow Wilson was an American politician and academic wh...ve legislative policies unparalleled until the New Deal in 1933., has type US President

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

[Assistant]
From the examples, the relevant properties and entities to use are:
- Russell Wilson as the person entity
- The property fb:people.person.education to get the education records of Russell Wilson
- The property fb:education.education.institution to get the institution from the education record
- The property fb:education.university.number_of_postgraduates to get the postgraduate count of the institution
- The property fb:measurement_unit.dated_integer.number to get the actual number value of postgraduates

Next, I will search for the entity "Russell Wilson" in the knowledge graph to get his identifier.

[Tool]
Top 10 entity alternatives:
1. Russell Wilson (fb:m.05c10yf): Russell Carrington Wilson is an American football quarterback fo...econd highest rated NFL passer of all time behind Aaron Rodgers., has type American football player
2. Russell Wilson (fb:m.010xfk3m): Russell Wilson was a politician and merchant in Saskatchewan, Ca...s and automobiles. In 1908, he married Ida Dunham of Brockville., has type Politician
3. Russell Wilson (fb:m.05c11pg): Russell Wilson was an English cricketer. He was a right-handed b...against Northamptonshire. From the tailend, he scored 9 not out., has type Cricket Player
4. Russell Wilson (fb:m.0w7kj6w): Russell Wilson is a basketball player., has type Basketball Player
5. Russell Wilson (fb:m.0sm1pnv): has type Musical Artist
6. Russell Wilson (fb:m.011n45k9): Russell Wilson is a musical artist, member of the Portland Symphony Orchestra., has type Musician
7. Russell Wilson (fb:m.0w72j2c): has type TV Episode
8. Forrest Wilson, also known as Forrest Russell Wilson (fb:m.05wfb8t): has type Author
9. Russell P Wilson (fb:m.03wt__c): has type Person
10. Peter Wilson, also known as Peter Robert Russell Wilson (fb:m.0j_7dy8): Peter Robert Russell Wilson MBE, is a retired English sport shoo...tor in the men's double trap event, where he won the gold medal., has type Olympic athlete

[Assistant] The entity for Russell Wilson, the American football quarterback, is fb:m.05c10yf. Now I will construct a SPARQL query to find the college (institution) that Russell Wilson attended which has a postgraduate count of 11756.

[Tool]
Got 1 row and 2 columns:
| college                                       | collegeLabel                         |
| --------------------------------------------- | ------------------------------------ |
| University of Wisconsin-Madison (fb:m.01yx1b) | University of Wisconsin-Madison (en) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?place ?placeLabel WHERE {
  VALUES ?place {
    fb:m.030qb3t fb:m.0r2gj fb:m.0d6lp
  }
  ?place rdfs:label ?placeLabel .
  FILTER ( LANG( ?placeLabel ) = "en" )
}

Got 3 rows and 2 columns:
| place                      | placeLabel         |
| -------------------------- | ------------------ |
| Los Angeles (fb:m.030qb3t) | Los Angeles (en)   |
| San Francisco (fb:m.0d6lp) | San Francisco (en) |
| Laguna Beach (fb:m.0r2gj)  | Laguna Beach (en)  |

Lauren Conrad lived in Los Angeles, Laguna Beach, and San Francisco. Among these locations, Los Angeles is the place where persons born on March 2, 1954, such as John Sciarra and Robert Haimer, were born.

[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 Lauren Conrad live, and is the location that a person with the date of birth on March 2,1954 was born?

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

[Tool]
Example 1:
Question:
Where did the artist who went on Secrets Tour born and raised?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:music.artist.concert_tours fb:m.0gvsbwl .
  ?c fb:people.person.place_of_birth ?x .
}

Using entities:
Secrets Tour (fb:m.0gvsbwl): The Secrets Tour was the debut concert tour by American pop/R&B ...the U.S. were billed as, An Evening with Kenny G & Toni Braxton.

Using properties:
Concert Tours (fb:music.artist.concert_tours): part of Musical Artist schema, links to type Concert tour
Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema

Example 2:
Question:
What place where someone was born 1985-02-20 is the home of Carlos Santana?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01304j ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01304j fb:people.person.places_lived ?y .
  ?y fb:people.place_lived.location ?x .
  ?x fb:location.location.people_born_here ?c .
  ?c fb:people.person.date_of_birth "1985-02-20" ^^ xsd:dateTime .
}

Using entities:
Carlos Santana, also known as Santana, Carlos, Santana, Mr. Carlos Santana, Devadip Carlos Santana, C. Santana (fb:m.01304j): Carlos Santana audio is a Mexican and American musician who firs...Time. He has won 10 Grammy Awards and three Latin Grammy Awards., has type Musical Artist

Using properties:
People born here (fb:location.location.people_born_here): part of Location schema, links to type Person
Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
Places lived (fb:people.person.places_lived): links to type Place lived, part of Person schema
Location (fb:people.place_lived.location): part of Place lived schema, links to type Location

Example 3:
Question:
Where is the childhood home of the writer of "Where Beauty Lives in Memory"?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:music.composer.compositions fb:m.0zph6w6 .
  ?c fb:people.person.place_of_birth ?x .
}

Using entities:
Where Beauty Lives in Memory (fb:m.0zph6w6): has type Composition

Using properties:
Works Composed (fb:music.composer.compositions): links to type Composition, part of Composer schema
Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema

[Assistant]
From the examples, it seems we can find where Lauren Conrad lived using the property for places lived (fb:people.person.places_lived) and check if the location is the same as the place of birth of a person born on March 2, 1954 using place of birth (fb:people.person.place_of_birth) and date of birth (fb:people.person.date_of_birth).

Next, I will search for the entity Lauren Conrad in the knowledge graph to get her identifier.

[Tool]
Top 10 entity alternatives:
1. Lauren Conrad, also known as Lauren Katherine Conrad, L.C., Lauren Conrad (fb:m.0dq9wx): Lauren Katherine Tell is an American television personality, fas...carried through each subsequent season in which Conrad appeared., has type Celebrity
2. Lauren Conrad (fb:m.06xy91h): Actress and author Lauren Conrad on her new book "L.A Cabdy"; Roundtable discussion with Kevin Hart, Jo Koy and Jen Kirkman., has type TV Episode
3. Lauren Conrad (fb:m.0dkqb7n): Author of Sugar and Spice and Lauren Conrad Style the very busy ...edian John Caparulo, comedian Josh Wolf and comedian Jim Breuer., has type TV Episode
4. Lauren Conrad (fb:m.0klvt_w): Lucky magazine cover girl Lauren Conrad is here telling us all a...n Chris Franjola, comedian Sarah Colonna and comedian Ben Gleib., has type TV Episode
5. Lauren Conrad (fb:m.0klvzf7): John Caparulo, Arden Myrin, T.J. Miller., has type TV Episode
6. Lauren Conrad, also known as Lauren Conrad & Countess LuAnn (fb:m.0n5qc5d): Among other topics they discuss, the main topic of this episode ...Out called "Cleaning House" with Lauren Conrad & LuAnn deLeseps., has type TV Episode
7. Lauren Conrad (fb:m.0wc0lj7): has type TV Episode
8. Lauren Conrad (fb:m.0hn3bj_): has type Fictional Character
9. Lauren Conrad (fb:m.08vxdg3)
10. Lauren Conrad Beauty (fb:m.0n9k3gw): Lauren Conrad Beauty is a book written by Lauren Conrad and  Elise Loehnen., has type Book

[Assistant] The most relevant entity for Lauren Conrad is fb:m.0dq9wx, which corresponds to Lauren Katherine Conrad, a celebrity. Next, I will search for the places where Lauren Conrad lived using the property fb:people.person.places_lived.

[Tool]
Got 3 rows and 3 columns:
| subject                     | property                                     | object       |
| --------------------------- | -------------------------------------------- | ------------ |
| Lauren Conrad (fb:m.0dq9wx) | Places lived (fb:people.person.places_lived) | fb:m.043jjv4 |
| Lauren Conrad (fb:m.0dq9wx) | Places lived (fb:people.person.places_lived) | fb:m.043jjv9 |
| Lauren Conrad (fb:m.0dq9wx) | Places lived (fb:people.person.places_lived) | fb:m.04hy_14 |

[Assistant] Lauren Conrad lived in three places with identifiers fb:m.043jjv4, fb:m.043jjv9, and fb:m.04hy_14. I will now check the labels of these places to know their names.

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Assistant] The places where Lauren Conrad lived do not have rdfs:label properties. I will try to find the location of these places using the property fb:people.place_lived.location. I will start with the first place fb:m.043jjv4.

[Tool]
Got 1 row and 3 columns:
| subject      | property                                  | object                     |
| ------------ | ----------------------------------------- | -------------------------- |
| fb:m.043jjv4 | Location (fb:people.place_lived.location) | Los Angeles (fb:m.030qb3t) |

[Assistant] The first place where Lauren Conrad lived is located in Los Angeles (fb:m.030qb3t). I will now check the location of the second place fb:m.043jjv9.

[Tool]
Got 1 row and 3 columns:
| subject      | property                                  | object                    |
| ------------ | ----------------------------------------- | ------------------------- |
| fb:m.043jjv9 | Location (fb:people.place_lived.location) | Laguna Beach (fb:m.0r2gj) |

[Assistant] The second place where Lauren Conrad lived is located in Laguna Beach (fb:m.0r2gj). I will now check the location of the third place fb:m.04hy_14.

[Tool]
Got 1 row and 3 columns:
| subject      | property                                  | object                     |
| ------------ | ----------------------------------------- | -------------------------- |
| fb:m.04hy_14 | Location (fb:people.place_lived.location) | San Francisco (fb:m.0d6lp) |

[Assistant]
The third place where Lauren Conrad lived is located in San Francisco (fb:m.0d6lp).

Next, I will find the place of birth of a person born on March 2, 1954. I will start by searching for persons born on that date.

[Tool] Got no rows and 3 columns

[Assistant] There are no direct matches for the date of birth "1954-03-02" in the knowledge graph. I will try searching for persons born in the year 1954 to see if there are any with the exact date of birth.

[Tool] Got no rows and 3 columns

[Assistant] There are no direct matches for the year 1954 in the date of birth property either. I will try searching for persons with the date of birth containing "1954-03-02" as a substring to see if there are any matches.

[Tool]
Top 10 property alternatives:
1. Date of Birth (fb:base.iceandfire.person.date_of_birth): links to type Date/Time, part of Person schema
2. Date of birth (fb:base.patienthealthrecord.profile.date_of_birth): part of phr Patient schema, links to type Day Of Year
3. Date of birth (fb:base.iraqimusicbase.iraqi_person.date_of_birth): part of iraqi person schema, links to type Date/Time
4. Date of birth (fb:base.battlestargalactica.character.date_of_birth): links to type Colonial date-time, part of Character schema
5. Date of birth (fb:user.bugs.default_domain.x.date_of_birth): links to type Date/Time, part of 非义务教育 schema
6. Date of Birth (fb:base.sportbase.sport_club_coach.date_of_birth): part of Sport Club Coach schema, links to type Date/Time
7. Date of birth (fb:fictional_universe.fictional_character.date_of_birth): part of Fictional Character schema, links to type Fictional Date/Time
8. Date of Birth (fb:biology.organism.date_of_birth): links to type Date/Time, part of Organism schema
9. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
10. Birthdate (fb:base.film_actors.actor.birthdate): links to type Date/Time, part of Actor schema

[Assistant] The property for date of birth is fb:people.person.date_of_birth. I will now try to find persons with the date of birth "1954-03-02" using a SPARQL query with a filter for the date string.

[Tool]
Got 10 rows and 2 columns:
| person                                         | placeOfBirth                           |
| ---------------------------------------------- | -------------------------------------- |
| fb:g.11b7gpxf2d                                | Tajimi (fb:m.01wl1l)                   |
| Manuel Salvador Salgado Amador (fb:m.012c8zwd) | Baja California Sur (fb:m.01ccjx)      |
| Ed Johnstone (fb:m.02q84v2)                    | Brandon (fb:m.01kxnd)                  |
| John Sciarra (fb:m.02ql1w_)                    | Los Angeles (fb:m.030qb3t)             |
| Buster Drayton (fb:m.02r2tfj)                  | United States of America (fb:m.09c7w0) |
| Robert Falls (fb:m.03qg9kq)                    | Ashland (fb:m.0s3mg)                   |
| Drew Hastings (fb:m.04q6pf8)                   | Casablanca (fb:m.022b_)                |
| Dai Sijie (fb:m.05nzpq)                        | Chengdu (fb:m.016v46)                  |
| Isaac Hagins (fb:m.05zwp_r)                    | Shreveport (fb:m.013d7t)               |
| Robert Haimer (fb:m.07nf15)                    | Los Angeles (fb:m.030qb3t)             |

[Assistant]
I found persons born on March 2, 1954, and their places of birth. Among them, John Sciarra and Robert Haimer were born in Los Angeles (fb:m.030qb3t).

Lauren Conrad lived in Los Angeles (fb:m.030qb3t), Laguna Beach (fb:m.0r2gj), and San Francisco (fb:m.0d6lp).

Now I will get the labels for these locations to provide a human-readable answer.

[Tool]
Got 42 rows and 3 columns, showing the first 10 rows below:
| subject                    | property   | object            |
| -------------------------- | ---------- | ----------------- |
| Los Angeles (fb:m.030qb3t) | rdfs:label | Los Andželas (lt) |
| Los Angeles (fb:m.030qb3t) | rdfs:label | Losandželosa (lv) |
| Los Angeles (fb:m.030qb3t) | rdfs:label | Los Angeles (ca)  |
| Los Angeles (fb:m.030qb3t) | rdfs:label | Los Angeles (cs)  |
| Los Angeles (fb:m.030qb3t) | rdfs:label | Los Angeles (da)  |
| Los Angeles (fb:m.030qb3t) | rdfs:label | Los Angeles (de)  |
| Los Angeles (fb:m.030qb3t) | rdfs:label | Los Angeles (en)  |
| Los Angeles (fb:m.030qb3t) | rdfs:label | Los Angeles (et)  |
| Los Angeles (fb:m.030qb3t) | rdfs:label | Los Angeles (fi)  |
| Los Angeles (fb:m.030qb3t) | rdfs:label | Los Angeles (fr)  |
| ...                        | ...        | ...               |

[Tool]
Got 27 rows and 3 columns, showing the first 10 rows below:
| subject                   | property   | object            |
| ------------------------- | ---------- | ----------------- |
| Laguna Beach (fb:m.0r2gj) | rdfs:label | Laguna Beach (ca) |
| Laguna Beach (fb:m.0r2gj) | rdfs:label | Laguna Beach (cs) |
| Laguna Beach (fb:m.0r2gj) | rdfs:label | Laguna Beach (da) |
| Laguna Beach (fb:m.0r2gj) | rdfs:label | Laguna Beach (de) |
| Laguna Beach (fb:m.0r2gj) | rdfs:label | Laguna Beach (en) |
| Laguna Beach (fb:m.0r2gj) | rdfs:label | Laguna Beach (es) |
| Laguna Beach (fb:m.0r2gj) | rdfs:label | Laguna Beach (fi) |
| Laguna Beach (fb:m.0r2gj) | rdfs:label | Laguna Beach (fr) |
| Laguna Beach (fb:m.0r2gj) | rdfs:label | Laguna Beach (hr) |
| Laguna Beach (fb:m.0r2gj) | rdfs:label | Laguna Beach (it) |
| ...                       | ...        | ...               |

[Tool]
Got 43 rows and 3 columns, showing the first 10 rows below:
| subject                    | property   | object                 |
| -------------------------- | ---------- | ---------------------- |
| San Francisco (fb:m.0d6lp) | rdfs:label | San Francisco (ca)     |
| San Francisco (fb:m.0d6lp) | rdfs:label | San Francisco (cs)     |
| San Francisco (fb:m.0d6lp) | rdfs:label | San Francisco (da)     |
| San Francisco (fb:m.0d6lp) | rdfs:label | San Francisco (de)     |
| San Francisco (fb:m.0d6lp) | rdfs:label | San Francisco (en)     |
| San Francisco (fb:m.0d6lp) | rdfs:label | San Francisco (eo)     |
| San Francisco (fb:m.0d6lp) | rdfs:label | San Francisco (es)     |
| San Francisco (fb:m.0d6lp) | rdfs:label | San Francisco (es-419) |
| San Francisco (fb:m.0d6lp) | rdfs:label | San Francisco (et)     |
| San Francisco (fb:m.0d6lp) | rdfs:label | San Francisco (fi)     |
| ...                        | ...        | ...                    |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?political_system WHERE {
  fb:m.0403vf7 a fb:government.governmental_body .
  ?political_system fb:government.governmental_jurisdiction.government_bodies fb:m.0403vf7 .
}

The Roman Senate is a governmental body in the political systems of Republic and Aristocracy, as indicated by the form of government of the Roman Republic.

[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 political system where Roman Senate is a governmental body?

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

[Tool]
Example 1:
Question:
What type of government does the country with Rome have?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:location.location.contains ?k .
  ?k fb:location.mailing_address.citytown fb:m.06c62 .
  ?c fb:location.country.form_of_government ?x .
}

Using entities:
Rome, also known as Comune of Rome, Рим, The eternal City, the City of seven hills, Rome, Italy (fb:m.06c62): Rome is a city and special comune in Italy. Rome is the capital ...pulation originated from a mix of Latins, Etruscans and Sabines., has type Italian comune

Using properties:
Form of Government (fb:location.country.form_of_government): links to type Form of Government, part of Country schema
Contains (fb:location.location.contains): part of Location schema, links to type Location
City/Town (fb:location.mailing_address.citytown): links to type Location, part of Address schema

Example 2:
Question:
What is the governmental jurisdiction of the country that has the posistion of Roman Consul?

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.025s8wp .
  ?c fb:location.location.contains ?x .
}

Using entities:
Roman consul (fb:m.025s8wp): A consul was the highest elected political office of the Roman R...er and authority, with the Emperor acting as the supreme leader., 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
Contains (fb:location.location.contains): part of Location schema, links to type Location

Example 3:
Question:
In Nova Roma, what is the form of government?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:fictional_universe.fictional_setting.contains fb:m.0j689dq .
  ?c fb:location.country.form_of_government ?x .
}

Using entities:
Nova Roma (fb:m.0j689dq): has type Fictional Setting

Using properties:
Contains (Fictional Places) (fb:fictional_universe.fictional_setting.contains): part of Fictional Setting schema, links to type Fictional Setting
Form of Government (fb:location.country.form_of_government): links to type Form of Government, part of Country schema

[Assistant] The examples suggest that we should first identify the entity for "Roman Senate" and then find the political system or form of government where it is a governmental body. Let's start by searching for the entity "Roman Senate" in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Roman Senate (fb:m.0403vf7): The Roman Senate was a political institution in ancient Rome. It...llowing the reforms of the tribunes Tiberius and Gaius Gracchus., has type Governmental Body
2. Senate of Romania (fb:m.04kjv3): The Senate is the upper house in the bicameral Parliament of Rom...resentation in 42 electoral districts, to serve four-year terms., has type Governmental Body
3. Senate of the Roman Republic (fb:m.011ynm): The Senate of the Roman Republic was a political institution in .... They also had the power to remove individuals from the Senate., has type Governmental Body
4. Senate of the Roman Empire (fb:m.0412qfw): The Senate of the Roman Empire was a political institution in th...hicle through which the Emperor exercised his autocratic powers.
5. Senate of the Roman Kingdom (fb:m.0412qcg): The Senate of the Roman Kingdom was a political institution in t...any disputes, and to make any decisions for the collective gens.
6. A treatise on the Roman Senate (fb:m.06ff3v4): has type Book
7. President of the Senate of Romania (fb:m.0466gbs): The President of the Senate of Romania is the senator elected to...te, and the first person in the presidential line of succession., has type Government Office or Title
8. Nicki Minaj, also known as Onika Tanya Maraj, Onika Tonya Maraj, Point Dexter, Princess of Pop, Queen of Hip-Hop (fb:m.047sxrj): Onika Tanya Maraj, better known by her stage name Nicki Minaj, i...and also had a supporting role in the 2014 film The Other Woman., has type Celebrity
9. Senate (fb:m.0c38f): A senate is a deliberative assembly, often the upper house or ch...tion passed by a lower house, whose members are usually elected.
10. Senate (fb:m.02qt6y): The Senate is the upper house of the Parliament of France, presi...tend to be less tense and generally receive less media coverage., has type Governmental Body

[Assistant] The entity "Roman Senate" (fb:m.0403vf7) is identified as a political institution in ancient Rome and is a governmental body. Now, I will search for properties of this entity that might indicate the political system or form of government it belongs to. I will search for properties related to "political system" or "government" for the entity Roman Senate.

[Tool]
Top 10 property alternatives:
1. Key (fb:type.object.key): part of Object schema, links to type Key
2. Description (fb:common.topic.description): part of Topic schema, links to type Text
3. Notable for (fb:common.topic.notable_for): links to type notable_for, part of Topic schema
4. Article (fb:common.topic.article): links to type Document, part of Topic schema

No other items found

[Assistant] There are no direct properties related to "political system" or "government" for the entity Roman Senate. I will try a broader search for properties related to "government" for the Roman Senate entity.

[Tool]
Top 10 property alternatives:
1. Key (fb:type.object.key): part of Object schema, links to type Key
2. Image (fb:common.topic.image): part of Topic schema, links to type Image
3. Description (fb:common.topic.description): part of Topic schema, links to type Text
4. Article (fb:common.topic.article): links to type Document, part of Topic schema
5. Members (fb:government.governmental_body.members): links to type Government Position Held, part of Governmental Body schema
6. Type (fb:type.object.type): part of Object schema, links to type Type
7. Name (fb:type.object.name): part of Object schema, links to type Text
8. Dedications (fb:media_common.dedicator.dedications): links to type Dedication, part of Dedicator schema
9. Notable for (fb:common.topic.notable_for): links to type notable_for, part of Topic schema

No other items found

[Assistant] There is no direct property linking the Roman Senate to a political system or form of government. I will try to find the political system or form of government that includes the Roman Senate as a governmental body by searching for entities that have the Roman Senate as a governmental body. I will search for entities that have the property "governmental body" or similar with the object "Roman Senate".

[Tool] Got no rows and 3 columns

[Assistant] No results found for entities that have the Roman Senate as a governmental body using the property "governmental body." I will try a broader search for properties that might link a political system or form of government to a governmental body. I will search for properties related to "governmental body" or "government" in general.

[Tool]
Top 10 property alternatives:
1. Governmental body (if any) (fb:government.government_office_or_title.governmental_body_if_any): part of Government Office or Title schema, links to type Governmental Body
2. Government bodies (fb:government.governmental_jurisdiction.government_bodies): part of Governmental Jurisdiction schema, links to type Governmental Body
3. Governmental body (if position is part of one) (fb:government.government_position_held.governmental_body): part of Government Position Held schema, links to type Governmental Body
4. Government (fb:government.government_agency.government): part of Government Agency schema, links to type Government
5. Government (fb:government.governmental_jurisdiction.government): part of Governmental Jurisdiction schema, links to type Government
6. Legislative Body (fb:base.government2.legislative_position_held.legislative_body): part of Legislative Position Held schema, links to type Governmental Body
7. Governing Body (fb:user.cheunger.sports_test.ranking.governing_body): links to type Ranking Organization, part of Ranking schema
8. Governing body (fb:base.sportssandbox.sports_recurring_event.governing_body): part of Sports recurring event schema, links to type Sports governing body
9. Governing body (fb:soccer.football_league.governing_body): links to type Football Organization, part of Football League schema
10. Governing body (fb:base.handball.handball_league.governing_body): links to type Handball Organization, part of Handball League schema

[Assistant] There are properties related to governmental bodies and governments. The property fb:government.governmental_jurisdiction.government links to type Government and fb:government.governmental_jurisdiction.government_bodies links to type Governmental Body. I will try to find a government entity that has the Roman Senate as one of its government bodies using the property fb:government.governmental_jurisdiction.government_bodies.

[Tool] Got no rows and 3 columns

[Assistant] No results found for a government entity that has the Roman Senate as one of its government bodies using the property fb:government.governmental_jurisdiction.government_bodies. I will try to find the political system or form of government of ancient Rome, as the Roman Senate was a political institution in ancient Rome. I will search for the entity "Ancient Rome" or "Roman Republic" and then find its form of government.

[Tool]
Top 10 entity alternatives:
1. Roman Republic, also known as Res Publica Romana (fb:m.06frc): The Roman Republic was the period of ancient Roman civilization ...ransition to the Roman Empire can be a matter of interpretation., has type Country
2. Roman Republic (fb:m.034t69): The Roman Republic was proclaimed on 15 February 1798 after Loui... short-lived, as the Papal States were restored in October 1799., has type Location
3. Roman Republic (fb:m.0210cb): The Roman Republic was a state declared on February 9, 1849, whe...e world to abolish capital punishment in its constitutional law., has type Governmental Jurisdiction
4. Roman Republic (fb:m.07pwpnt)
5. The Roman Republic (fb:m.094ksy7): has type Book Edition
6. The Roman Republic (fb:m.07tr634): has type Book Edition
7. The Roman Republic (fb:m.08n8bg9): has type Book Edition
8. Roman, Sakha Republic (fb:m.0zds00g): Roman is a rural locality, and one of two settlements in Sen-Kyu... 2010 Census was 0; the same as recorded during the 2002 Census., has type Location
9. The Roman republic (fb:m.0c788vh): has type Book Edition
10. The Roman Republic (fb:m.06d6fdr): has type Book

[Assistant] The entity "Roman Republic" (fb:m.06frc) is identified as the period of ancient Roman civilization and has the type Country. Now, I will search for the form of government or political system of the Roman Republic.

[Tool]
Got 2 rows and 3 columns:
| subject                     | property                                                    | object                   |
| --------------------------- | ----------------------------------------------------------- | ------------------------ |
| Roman Republic (fb:m.06frc) | Form of Government (fb:location.country.form_of_government) | Republic (fb:m.06cx9)    |
| Roman Republic (fb:m.06frc) | Form of Government (fb:location.country.form_of_government) | Aristocracy (fb:m.09dcy) |

[Tool] Stopped generation process