PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?country ?countryLabel WHERE {
  FILTER ( ?country != fb:m.0d05w3 ) {
    fb:m.0d05w3 fb:location.statistical_region.places_exported_to ?region .
    ?region fb:location.imports_and_exports.exported_to ?country .
  } UNION {
    fb:m.0d05w3 fb:location.statistical_region.places_imported_from ?region .
    ?region fb:location.imports_and_exports.imported_from ?country .
  }
  ?country fb:government.governmental_jurisdiction.governing_officials ?official .
  ?official fb:government.government_position_held.appointed_by fb:m.0224kz .
  OPTIONAL {
    ?country rdfs:label ?countryLabel
  }
}

Got 44 rows and 2 columns, showing the first 5 and last 5 rows below:
| country             | countryLabel         |
| ------------------- | -------------------- |
| Algeria (fb:m.0h3y) | Algeria (en)         |
| Algeria (fb:m.0h3y) | Algeria (fi)         |
| Algeria (fb:m.0h3y) | Algeria (fil)        |
| Algeria (fb:m.0h3y) | Algeria (it)         |
| Algeria (fb:m.0h3y) | Algeria (ms)         |
| ...                 | ...                  |
| Algeria (fb:m.0h3y) | ประเทศแอลจีเรีย (th) |
| Algeria (fb:m.0h3y) | 알제리 (ko)             |
| Algeria (fb:m.0h3y) | アルジェリア (ja)          |
| Algeria (fb:m.0h3y) | 阿尔及利亚 (zh)           |
| Algeria (fb:m.0h3y) | 阿爾及利亞 (zh-Hant)      |

The main trading partner of China that appointed Abdelaziz Bouterflika to a governmental position is Algeria.

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

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

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

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

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

[User] Who is a main trading partners of China that appointed Abdelaziz Bouterflika to a governmental position?

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

[Tool]
Example 1:
Question:
Which country from the location that appointed Abdelaziz Bouteflika to govermental position is one of China's trading partners?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0d05w3 ) {
    fb:m.0d05w3 fb:location.statistical_region.places_exported_to ?y .
    ?y fb:location.imports_and_exports.exported_to ?x .
  } UNION {
    fb:m.0d05w3 fb:location.statistical_region.places_imported_from ?y .
    ?y fb:location.imports_and_exports.imported_from ?x .
  }
  ?x fb:government.governmental_jurisdiction.governing_officials ?c .
  ?c fb:government.government_position_held.appointed_by fb:m.0224kz .
}

Using entities:
Abdelaziz Bouteflika (fb:m.0224kz): Abdelaziz Bouteflika is an Algerian politician who has been the ...d Houari Boumediene as the longest-serving president of Algeria., has type Politician
China, also known as People's Republic of China (fb:m.0d05w3): China, officially the People's Republic of China, is a sovereign...h-largest by total area, depending on the method of measurement., has type Country

Using properties:
Appointed By (if Position is Appointed) (fb:government.government_position_held.appointed_by): part of Government Position Held schema, links to type Political Appointer
Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held
Exported to (fb:location.imports_and_exports.exported_to): part of Imports and exports schema, links to type Statistical region
Imported from (fb:location.imports_and_exports.imported_from): part of Imports and exports schema, links to type Statistical region
Places exported to (fb:location.statistical_region.places_exported_to): links to type Imports and exports, part of Statistical region schema
Places imported from (fb:location.statistical_region.places_imported_from): links to type Imports and exports, part of Statistical region schema

Example 2:
Question:
What country is a major trading partner of Germany and appointed Abdelaziz Bouteflika to a governmental position?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0345h ) {
    fb:m.0345h fb:location.statistical_region.places_exported_to ?y .
    ?y fb:location.imports_and_exports.exported_to ?x .
  } UNION {
    fb:m.0345h fb:location.statistical_region.places_imported_from ?y .
    ?y fb:location.imports_and_exports.imported_from ?x .
  }
  ?x fb:government.governmental_jurisdiction.governing_officials ?c .
  ?c fb:government.government_position_held.appointed_by fb:m.0224kz .
}

Using entities:
Abdelaziz Bouteflika (fb:m.0224kz): Abdelaziz Bouteflika is an Algerian politician who has been the ...d Houari Boumediene as the longest-serving president of Algeria., has type Politician
Germany, also known as Deutschland, Federal Republic of Germany, Bundesrepublik Deutschland, BRD (fb:m.0345h): Germany, officially the Federal Republic of Germany, is a federa...9, the Empire was replaced by the parliamentary Weimar Republic., has type Country

Using properties:
Appointed By (if Position is Appointed) (fb:government.government_position_held.appointed_by): part of Government Position Held schema, links to type Political Appointer
Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held
Exported to (fb:location.imports_and_exports.exported_to): part of Imports and exports schema, links to type Statistical region
Imported from (fb:location.imports_and_exports.imported_from): part of Imports and exports schema, links to type Statistical region
Places exported to (fb:location.statistical_region.places_exported_to): links to type Imports and exports, part of Statistical region schema
Places imported from (fb:location.statistical_region.places_imported_from): links to type Imports and exports, part of Statistical region schema

Example 3:
Question:
What location that appointed Abdelaziz Bouteflika to governmental position and trades with Portugal?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.05r4w ) {
    fb:m.05r4w fb:location.statistical_region.places_exported_to ?y .
    ?y fb:location.imports_and_exports.exported_to ?x .
  } UNION {
    fb:m.05r4w fb:location.statistical_region.places_imported_from ?y .
    ?y fb:location.imports_and_exports.imported_from ?x .
  }
  ?x fb:government.governmental_jurisdiction.governing_officials ?c .
  ?c fb:government.government_position_held.appointed_by fb:m.0224kz .
}

Using entities:
Abdelaziz Bouteflika (fb:m.0224kz): Abdelaziz Bouteflika is an Algerian politician who has been the ...d Houari Boumediene as the longest-serving president of Algeria., has type Politician
Portugal, also known as Portuguese Republic (fb:m.05r4w): Portugal, officially the Portuguese Republic, is a country on th...ne of the world's major economic, political and military powers., has type Country

Using properties:
Appointed By (if Position is Appointed) (fb:government.government_position_held.appointed_by): part of Government Position Held schema, links to type Political Appointer
Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held
Exported to (fb:location.imports_and_exports.exported_to): part of Imports and exports schema, links to type Statistical region
Imported from (fb:location.imports_and_exports.imported_from): part of Imports and exports schema, links to type Statistical region
Places exported to (fb:location.statistical_region.places_exported_to): links to type Imports and exports, part of Statistical region schema
Places imported from (fb:location.statistical_region.places_imported_from): links to type Imports and exports, part of Statistical region schema

[Assistant]
From the similar examples, the approach to answer the question is to find countries that are main trading partners of China and also have appointed Abdelaziz Bouterflika to a governmental position. The properties involved are about trading partners (places exported to/imported from) and the appointed by property for government positions.

I will now search for the entity of China in Freebase to get its identifier. Then I will use the identifier of Abdelaziz Bouterflika to build the query.

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

[Assistant] The entity for China is fb:m.0d05w3 (People's Republic of China). I will now use this entity and the entity for Abdelaziz Bouterflika (fb:m.0224kz) to build the SPARQL query based on the examples. The query will find countries that are trading partners of China and have appointed Abdelaziz Bouterflika to a governmental position.

[Tool]
Got 44 rows and 2 columns, showing the first 5 and last 5 rows below:
| country             | countryLabel         |
| ------------------- | -------------------- |
| Algeria (fb:m.0h3y) | Algeria (en)         |
| Algeria (fb:m.0h3y) | Algeria (fi)         |
| Algeria (fb:m.0h3y) | Algeria (fil)        |
| Algeria (fb:m.0h3y) | Algeria (it)         |
| Algeria (fb:m.0h3y) | Algeria (ms)         |
| ...                 | ...                  |
| Algeria (fb:m.0h3y) | ประเทศแอลจีเรีย (th) |
| Algeria (fb:m.0h3y) | 알제리 (ko)             |
| Algeria (fb:m.0h3y) | アルジェリア (ja)          |
| Algeria (fb:m.0h3y) | 阿尔及利亚 (zh)           |
| Algeria (fb:m.0h3y) | 阿爾及利亞 (zh-Hant)      |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies Algeria as a main trading partner of China that appointed Abdelaziz Bouterflika to a governmental position. The query uses appropriate properties to find countries that are either exported to or imported from by China and filters for those that have Abdelaziz Bouterflika as an appointed official. The result is consistent and the answer is accurate. No further refinement is necessary.


PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?school WHERE {
  fb:m.02n9k fb:people.person.education ?education .
  ?education fb:education.education.institution ?school .
  ?school fb:common.topic.notable_types fb:m.01y2hnl .
  ?school fb:education.university.number_of_undergraduates ?numUndergraduates .
  ?numUndergraduates fb:measurement_unit.dated_integer.number ?number .
}
ORDER BY DESC ( xsd:integer ( ?number ) )
LIMIT 1

The school attended by Eleanor Roosevelt that has the largest number of undergraduates is The New School.

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

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

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

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

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

[User] Which school attended by Eleanor Roosevelt has the largest number of undergraduates?

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

[Tool]
Example 1:
Question:
Which university did Barack Obama attend, that has the largest number of undergraduates?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02mjmr ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02mjmr fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:common.topic.notable_types fb:m.01y2hnl .
  ?x fb:education.university.number_of_undergraduates ?c .
  ?c fb:measurement_unit.dated_integer.number ?num .
}
ORDER BY DESC ( xsd:integer ( ?num ) )
LIMIT 1

Using entities:
College/University, also known as College, University (fb:m.01y2hnl): The College/University type is used for institutions that offer ...mation, please see the Freebase wiki page on College/University.
Barack Obama, also known as President Obama, President Barack Obama, President Barack Hussein Obama II, President Barack H. Obama, Obama (fb:m.02mjmr): Barack Hussein Obama II is the 44th and current President of the...mocratic Party primaries to receive the presidential nomination., Barack Hussein Obama II (/bəˈrɑːk huːˈseɪn oʊˈbɑːmə/; born Augus...ting the 13th District in the Illinois Senate from 1997 to 2004., 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
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

Example 2:
Question:
Which university with the largest number of undergraduates did president Eisenhower attend?

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:education.university.number_of_undergraduates ?c .
  ?c fb:measurement_unit.dated_integer.number ?num .
}
ORDER BY DESC ( xsd:integer ( ?num ) )
LIMIT 1

Using entities:
College/University, also known as College, University (fb:m.01y2hnl): The College/University type is used for institutions that offer ...mation, please see the Freebase wiki page on College/University.
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
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

Example 3:
Question:
What university attended by F. Scott Fitzgerald has the largest number of undergraduates?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02zjd ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02zjd 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 .
}
ORDER BY DESC ( xsd:integer ( ?num ) )
LIMIT 1

Using entities:
F. Scott Fitzgerald, also known as Fitzgerald, F Scott Fitzgerald, Francis Scott Key Fitzgerald (fb:m.02zjd): Francis Scott Key Fitzgerald was an American author of novels an...at treat themes of youth and promise along with age and despair., has type Author

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]
The examples show a pattern to find the school attended by a person with the largest number of undergraduates. The key steps are:
- Identify the person entity.
- Find the education entities related to the person.
- From the education entities, get the institutions.
- Filter institutions that are universities.
- Get the number of undergraduates for each institution.
- Order by the number of undergraduates in descending order and limit to 1.

I will now search for the entity of Eleanor Roosevelt in Freebase to use it in the query.

[Tool]
Top 10 entity alternatives:
1. Eleanor Roosevelt, also known as Anna Eleanor Roosevelt, Granny, First Lady of the World, First lady Eleanor Roosevelt (fb:m.02n9k): Anna Eleanor Roosevelt was an American politician, diplomat, and...rom polio, and began to give speeches and campaign in his place., has type Politician
2. Eleanor Roosevelt, also known as Sara Delano Roosevelt, Mrs. Roosevelt, Mrs. Eleanor Roosevelt (fb:m.02nw8rg): Fictional representation of the former US First Lady Eleanor Roosevelt., has type Film character
3. Eleanor Roosevelt (fb:m.01v__m6): has type Musical Artist
4. Eleanor Roosevelt (fb:m.06z9hww): Biography of the wife of FDR, her early life, marriage, and rise...of the most influential and respected women of the 20th century., has type TV Episode
5. Eleanor Roosevelt (fb:m.0ddd_0r): Eleanor Roosevelt is one of the 12 sectors of Hato Rey., has type Statistical region
6. Eleanor Roosevelt (fb:m.079hvn2): has type TV Episode
7. Eleanor Roosevelt (fb:m.076lz_1): has type School
8. Eleanor Roosevelt (fb:m.04w9b2_): has type Book
9. Eleanor Roosevelt (fb:m.0f146ys): has type Musical Recording
10. Eleanor Roosevelt. (fb:m.0c8jnkw): has type Book Edition

[Assistant] The most relevant entity for Eleanor Roosevelt is fb:m.02n9k, which corresponds to Anna Eleanor Roosevelt, the American politician and diplomat. I will now construct a SPARQL query to find the school attended by Eleanor Roosevelt (fb:m.02n9k) that has the largest number of undergraduates.

[Tool]
Got 1 row and 1 column:
| school                       |
| ---------------------------- |
| The New School (fb:m.06thjt) |

[Assistant] The school attended by Eleanor Roosevelt that has the largest number of undergraduates is The New School (fb:m.06thjt). I will now provide the final answer with the SPARQL query.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the schools attended by Eleanor Roosevelt and orders them by the number of undergraduates in descending order, limiting the result to the school with the largest undergraduate population. The query uses appropriate properties and types, and the result is consistent with the question. The answer 'The New School' is supported by the query result. No further refinement is necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?genre ?genreLabel ?isSubject WHERE {
  fb:m.082db fb:music.artist.genre ?genre .
  OPTIONAL {
    ?genre rdfs:label ?genreLabel .
    FILTER ( lang( ?genreLabel ) = 'en' )
  }
  OPTIONAL {
    fb:m.03qp5b1 fb:film.film_subject.films ?subjectFilm .
    BIND( IF( ?subjectFilm = fb:m.082db , true , false ) AS ?isSubject )
  }
}
LIMIT 10

Got 5 rows and 3 columns:
| genre                         | genreLabel           | isSubject |
| ----------------------------- | -------------------- | --------- |
| Ballet (fb:m.021dvj)          | Ballet (en)          |           |
| Opera (fb:m.05lls)            | Opera (en)           |           |
| Art song (fb:m.06q6jz)        | Art song (en)        |           |
| Classical music (fb:m.0ggq0m) | Classical music (en) |           |
| Chamber music (fb:m.0l8gh)    | Chamber music (en)   |           |

Mozart composed music in the genres Classical music, Opera, Chamber music, Ballet, and Art song. The film "Everybody Does It" is not about Mozart, so Mozart is not the subject of this film.

[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 class of music did Mozart compose, and is the subject of the film, Everybody Does It?

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

[Tool]
Example 1:
Question:
What did Mozart to, that was featured in the work "The Unconsoled" to become famous?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.082db ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.082db fb:people.person.profession ?x .
  ?x fb:book.book_subject.works fb:m.0c3k9r .
}

Using entities:
Wolfgang Amadeus Mozart, also known as Wolfang A. Mozart, Wolfgan Amadeus Mozart, Wolfgang Amadé, Wolfgang Amadeaus Mozart, Wolfgang Amadè Mozart (fb:m.082db): Wolfgang Amadeus Mozart, baptised as Johannes Chrysostomus Wolfg... of symphonic, concertante, chamber, operatic, and choral music., has type Composer
The Unconsoled, also known as Die Ungetrosteten, Inconsolé, L'Inconsolé, Los Inconsolables (fb:m.0c3k9r): The Unconsoled is a novel by Kazuo Ishiguro, first published in ...y Faber and Faber, and winner of the Cheltenham Prize that year., has type Book

Using properties:
Works Written About This Topic (fb:book.book_subject.works): part of Literature Subject schema, links to type Written Work
Profession (fb:people.person.profession): links to type Profession, part of Person schema

Example 2:
Question:
What kind of music did the subject of the movie "Lisztomnia" compose?

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.0c4ymr .
  ?c fb:music.artist.genre ?x .
}

Using entities:
Lisztomania (fb:m.0c4ymr): Lisztomania is a 1975 film by Ken Russell, drawn from a biograph... film, Ringo Starr, drummer of The Beatles, appears as the Pope., has type Film

Using properties:
Films On This Subject (fb:film.film_subject.films): part of Film subject schema, links to type Film
Musical Genres (fb:music.artist.genre): part of Musical Artist schema, links to type Musical genre

Example 3:
Question:
What genre of music appearing in the movie Shadow of the Stars was composed by Franz Liszt?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0hqgp ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0hqgp fb:music.artist.genre ?x .
  ?x fb:film.film_genre.films_in_this_genre fb:m.026t80_ .
}

Using entities:
In the Shadow of the Stars (fb:m.026t80_): In the Shadow of the Stars is a 1991 documentary film about the ... Academy Award for Best Documentary Feature for Light and Saraf., has type Award-Winning Work
Life of Franz Liszt, also known as Franz Liszt, Liszt Ferenc, Franz Ritter von Liszt, Frans Liszt, Ferenz Liszt (fb:m.0hqgp): Franz Liszt was a 19th-century Hungarian composer, virtuoso pian...iments in musical form and making radical departures in harmony., Franz Liszt was a 19th-century composer, virtuoso pianist and te...l known throughout Europe for his transcendental piano recitals., Franz Liszt is a film score composer., has type Composer

Using properties:
Films of this genre (fb:film.film_genre.films_in_this_genre): part of Film genre schema, links to type Film
Musical Genres (fb:music.artist.genre): part of Musical Artist schema, links to type Musical genre

[Assistant]
From the examples, it seems we need to find the musical genre or class of music that Mozart composed and also check if he is the subject of the film "Everybody Does It."

Step 1: Identify Mozart entity in Freebase.
Step 2: Identify the film "Everybody Does It" entity in Freebase.
Step 3: Find the music genre or class Mozart composed.
Step 4: Check if Mozart is the subject of the film "Everybody Does It."

I will start by searching for the entity of Mozart in Freebase.

[Tool]
Top 10 entity alternatives:
1. Wolfgang Amadeus Mozart, also known as Wolfang A. Mozart, Wolfgan Amadeus Mozart, Wolfgang Amadé, Wolfgang Amadeaus Mozart, Wolfgang Amadè Mozart (fb:m.082db): Wolfgang Amadeus Mozart, baptised as Johannes Chrysostomus Wolfg... of symphonic, concertante, chamber, operatic, and choral music., has type Composer
2. Andrea Pirlo, also known as l'architetto, Mozart (fb:m.05pgj9): Andrea Pirlo, Ufficiale OMRI is an Italian professional football...tained the national team to a bronze medal in the 2004 Olympics., has type Football player
3. Mozart, also known as Kuolema ei heitä erottanut, The Life and Loves of Mozart, Reich mir die Hand, mein Leben (fb:m.05f30wt): Mozart is a 1955 Austrian drama film directed by Karl Hartl. It ... of Mozart during production of his final opera Die Zauberflöte., has type Film
4. Mozart! (fb:m.0cc1pz): Mozart! is an Austrian musical, originally written in German. Th... for 419 performances, showing to approximately 420,000 patrons., has type Play
5. Mozart (fb:m.0353kcv): has type Consumer product
6. Piano Sonatas K. 330, K. 331 "Al...Ah, vous dirai-je, maman" K. 265, also known as Mozart (fb:m.0fznz27): has type Consumer product
7. moZart (fb:m.01s7kqc): has type Musical Group
8. Mozart (fb:m.0sghwyh): Mozart was an express train that linked Paris with Vienna via St...Mozart, and served many cities with which he had an association.
9. Mozart (fb:m.05p3xhx): Mozart is a comédie musicale in three acts with music by Reynald...erformed at the Théâtre Édouard VII in Paris on 2 December 1925., has type Opera
10. Mozart (fb:m.092fgsz): has type Book Edition

[Assistant] I found the entity for Wolfgang Amadeus Mozart as fb:m.082db, which is the composer. Now I will search for the film "Everybody Does It" in Freebase.

[Tool]
Top 10 entity alternatives:
1. Everybody Does It (fb:m.03qp5b1): Everybody Does It is a 1949 comedy film starring Paul Douglas, L...d, Loretta Young as his wife, and Binnie Barnes as Cecil Carver., has type Film
2. Everybody Does It (fb:m.06z89qv): Arlette spots a bargain : inadvertently landing her husband in a heap of trouble with a crime syndicate., has type TV Episode
3. Everybody Does It (fb:m.05dp4gq): Archie's steals a box of nails from work and finds himself at the center of a household debate on morality., has type TV Episode
4. Everybody Does It (fb:m.0ltj9n): has type Musical Recording
5. Everybody Does It (fb:m.0xv6l7): has type Musical Recording
6. Everybody Does It (fb:m.0fgvthw): has type Musical Recording
7. Everybody Does It (fb:m.0kt18pr): has type TV Episode
8. Everybody Does  It (fb:m.0kzlrvt): has type TV Episode
9. "Everybody does it!" (fb:m.0c4cnzb): has type Book
10. Everybody Does It (fb:m.0lv8nyw)

[Assistant] I found the film "Everybody Does It" as fb:m.03qp5b1, which is a 1949 comedy film. Now I will find the class or genre of music Mozart composed.

[Tool]
Got 39,819 rows and 3 columns, showing the first 10 rows below:
| subject                              | property                                                            | object                                                                                |
| ------------------------------------ | ------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------- |
| Wolfgang Amadeus Mozart (fb:m.082db) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                                             |
| Wolfgang Amadeus Mozart (fb:m.082db) | Key (fb:type.object.key)                                            | /authority/daylife/topic/0con80y6NQ2Tt                                                              |
| Wolfgang Amadeus Mozart (fb:m.082db) | Name (fb:type.object.name)                                          | Volfgangas Amadėjus Mocartas (lt)                                                                   |
| Wolfgang Amadeus Mozart (fb:m.082db) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%41%48%44%41%3A%27%46%3A_%23%45%27%2F%4A%48%33_%45%48%2A%33%27%31%2A> |
| Wolfgang Amadeus Mozart (fb:m.082db) | Notable for (fb:common.topic.notable_for)                           | fb:g.125ct5f3k                                                                                |
| Wolfgang Amadeus Mozart (fb:m.082db) | Notable types (fb:common.topic.notable_types)                       | Composer (fb:m.0kpysb)                                                                              |
| Wolfgang Amadeus Mozart (fb:m.082db) | Description (fb:common.topic.description)                           | Joannes Chrysostomus Wolfgangus ...tuaciones financieras difíciles. (es)                            |
| Wolfgang Amadeus Mozart (fb:m.082db) | Recordings (fb:music.artist.track)                                  | III. SEQUENTIA: Confutatis (fb:m.0lwwnn)                                                            |
| Wolfgang Amadeus Mozart (fb:m.082db) | Article (fb:common.topic.article)                                   | fb:m.082dn                                                                                |
| Wolfgang Amadeus Mozart (fb:m.082db) | Also known as (fb:common.topic.alias)                               | Amadeus Mozart Wolfgang (en)                                                                        |
| ...                                  | ...                                                                 | ...                                                                                |

[Assistant] I found many properties for Mozart but I need to specifically find the music genre or class of music he composed. I will search for properties related to "music genre" or "class of music" for Mozart.

[Tool]
Top 10 property alternatives:
1. Musical Genres (fb:music.artist.genre): part of Musical Artist schema, links to type Musical genre
2. Instruments Played (fb:music.group_member.instruments_played): links to type Musical instrument, part of Musician schema
3. Music catalog (fb:base.catalog.cataloged_composer.music_catalog): part of Cataloged composer schema, links to type Music catalog
4. Active as Musical Artist (start) (fb:music.artist.active_start): part of Musical Artist schema, links to type Date/Time
5. Albums (fb:music.artist.album): part of Musical Artist schema, links to type Musical Album
6. Works Composed (fb:music.composer.compositions): links to type Composition, part of Composer schema
7. Category (fb:base.kwebbase.kwtopic.category): part of KWTopic schema, links to type Text
8. Recordings (fb:music.artist.track): links to type Musical Recording, part of Musical Artist schema
9. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
10. Active as Musical Artist (end) (fb:music.artist.active_end): part of Musical Artist schema, links to type Date/Time

No other items found

[Assistant] Mozart has a property "Musical Genres" (fb:music.artist.genre) which likely indicates the class or genre of music he composed. Now I will find the genres linked to Mozart using this property.

[Tool]
Got 5 rows and 3 columns:
| subject                              | property                               | object                        |
| ------------------------------------ | -------------------------------------- | ----------------------------- |
| Wolfgang Amadeus Mozart (fb:m.082db) | Musical Genres (fb:music.artist.genre) | Classical music (fb:m.0ggq0m) |
| Wolfgang Amadeus Mozart (fb:m.082db) | Musical Genres (fb:music.artist.genre) | Opera (fb:m.05lls)            |
| Wolfgang Amadeus Mozart (fb:m.082db) | Musical Genres (fb:music.artist.genre) | Chamber music (fb:m.0l8gh)    |
| Wolfgang Amadeus Mozart (fb:m.082db) | Musical Genres (fb:music.artist.genre) | Ballet (fb:m.021dvj)          |
| Wolfgang Amadeus Mozart (fb:m.082db) | Musical Genres (fb:music.artist.genre) | Art song (fb:m.06q6jz)        |

[Assistant]
Mozart composed music in the following genres: Classical music, Opera, Chamber music, Ballet, and Art song.

Next, I will check if Mozart (fb:m.082db) is the subject of the film "Everybody Does It" (fb:m.03qp5b1) by looking for the film subject property.

[Tool]
Got 3 rows and 3 columns:
| subject                              | property                                           | object                        |
| ------------------------------------ | -------------------------------------------------- | ----------------------------- |
| Wolfgang Amadeus Mozart (fb:m.082db) | Films On This Subject (fb:film.film_subject.films) | Amadeus (fb:m.042y1c)         |
| Wolfgang Amadeus Mozart (fb:m.082db) | Films On This Subject (fb:film.film_subject.films) | Mozart (fb:m.05f30wt)         |
| Wolfgang Amadeus Mozart (fb:m.082db) | Films On This Subject (fb:film.film_subject.films) | Mozart Decoded (fb:m.0crx20q) |

[Assistant]
Mozart is the subject of films "Amadeus," "Mozart," and "Mozart Decoded," but not the film "Everybody Does It."

I will now check if the film "Everybody Does It" (fb:m.03qp5b1) has any subject linked to Mozart.

[Tool] Got no rows and 3 columns

[Assistant]
The film "Everybody Does It" does not have a subject linked to Mozart.

Now I will prepare the final SPARQL query to return the class of music Mozart composed and confirm that Mozart is not the subject of the film "Everybody Does It."

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly retrieves the music genres Mozart composed, which answers the first part of the question well. However, the query does not address the second part of the question about whether Mozart is the subject of the film 'Everybody Does It'. To fully answer the user's question, the system should include a check for the film's subject and confirm if Mozart is related to it. This could be done by querying the film's subject and comparing it to Mozart. Therefore, the current output is sensible but incomplete and should be refined to cover both parts of the question.

[Assistant]
Thank you for the feedback. I will refine the SPARQL query to include both parts of the question:
1) The music genres Mozart composed.
2) Whether Mozart is the subject of the film "Everybody Does It."

I will write a query that retrieves Mozart's music genres and also checks if the film "Everybody Does It" has Mozart as its subject.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The answer correctly identifies the classes of music Mozart composed, listing Classical music, Opera, Chamber music, Ballet, and Art song, which matches the query results. It also correctly states that the film "Everybody Does It" is not about Mozart, supported by the query's check for film subject relationship. The SPARQL query is well-formed, uses appropriate properties, and returns relevant labels optionally. The explanation is clear and complete. No further refinement is necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?university WHERE {
  fb:m.0ggp1n fb:people.person.education ?education .
  ?education fb:education.education.institution ?university .
  ?university fb:education.university.number_of_postgraduates ?postgraduates .
  ?postgraduates fb:measurement_unit.dated_integer.number "9153" .
}

Got 1 row and 1 column:
| university                      |
| ------------------------------- |
| Temple University (fb:m.01jt2w) |

The university that has 9153 postgraduates and had Kevin Hart as a student is Temple University.

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

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

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

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

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

[User] Which university has 9153 postgraduates and had Kevin Hart as a student?

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

[Tool]
Example 1:
Question:
What university has more than 10293 postgraduates and whose alumni include Jack London?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0bt23 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0bt23 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 ) > 10293 ) .
}

Using entities:
Jack London, also known as London; Jack, John Griffith "Jack" London, John Griffith Chaney London, John Griffith Chaney, J. Griffiths (fb:m.0bt23): John Griffith "Jack" London was an American author, journalist, ...tion exposé The People of the Abyss, and The War of the Classes., has type Author

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:
James Franco once attended this university that has 11,179 postgraduates.?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.05bnp0 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.05bnp0 fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:common.topic.notable_types fb:m.01y2hnl .
  ?x fb:education.university.number_of_postgraduates ?c .
  ?c fb:measurement_unit.dated_integer.number "11179" .
}

Using entities:
College/University, also known as College, University (fb:m.01y2hnl): The College/University type is used for institutions that offer ...mation, please see the Freebase wiki page on College/University.
James Franco, also known as Ted, Teddy, James Edward Franco (fb:m.05bnp0): James Edward Franco is an American actor, filmmaker, and teacher...riting at his alma mater, University of California, Los Angeles., has type Celebrity

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

Example 3:
Question:
Which university has the largest number of undergraduates and was attended by James Franco?

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

Using entities:
College/University, also known as College, University (fb:m.01y2hnl): The College/University type is used for institutions that offer ...mation, please see the Freebase wiki page on College/University.
James Franco, also known as Ted, Teddy, James Edward Franco (fb:m.05bnp0): James Edward Franco is an American actor, filmmaker, and teacher...riting at his alma mater, University of California, Los Angeles., has type Celebrity

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Institution (fb:education.education.institution): links to type Educational Institution, part of Education schema
Number of 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 examples, I see that the property for number of postgraduates at a university is fb:education.university.number_of_postgraduates and the number is stored as a fb:measurement_unit.dated_integer.number. Also, the education relation for a person is fb:people.person.education and the institution attended is linked via fb:education.education.institution.

Next, I will search for the entity Kevin Hart in Freebase to get his identifier. Then I will use that to find the university he attended and check if it has 9153 postgraduates.

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

[Assistant]
The Kevin Hart we are interested in is the American actor and comedian with the entity fb:m.0ggp1n.

Next, I will write a SPARQL query to find the university that Kevin Hart attended and that has 9153 postgraduates.

[Tool]
Got 1 row and 1 column:
| university                      |
| ------------------------------- |
| Temple University (fb:m.01jt2w) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the university where Kevin Hart studied and that has exactly 9153 postgraduates. The query uses the appropriate properties to link Kevin Hart to his education institution and filters the university by the number of postgraduates. The answer 'Temple University' matches the query result and is consistent with the data. The query returns the university identifier as required. No further refinement is necessary.


PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?year WHERE {
  fb:m.04mjl fb:sports.sports_team.championships ?championship .
  ?championship fb:time.event.start_date ?start_date .
  BIND( year( xsd:dateTime ( ?start_date ) ) AS ?year ) FILTER ( ?year >= 1998 && ?year <= 2017 )
}
ORDER BY ?year

Stan Kasten was president of the Los Angeles Dodgers from 1998 to 2017. According to the data, the Los Angeles Dodgers did not win the World Series during this period.

[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] In what years did Stan Kasten's organization win the World Series?

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

[Tool]
Example 1:
Question:
When was the most recent time did the team with Stan Kasten as its leader win the championship?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:organization.organization.leadership ?k .
  ?k fb:organization.leadership.person fb:m.0fpx_7 .
  ?c fb:sports.sports_team.championships ?x .
  ?x fb:time.event.end_date ?sk0 .
}
ORDER BY DESC ( xsd:datetime ( ?sk0 ) )
LIMIT 1

Using entities:
Stan Kasten (fb:m.0fpx_7): Stan Kasten is the former President of the Atlanta Braves and Wa...e current president, and part-owner, of the Los Angeles Dodgers., has type Organization leader

Using properties:
Person (fb:organization.leadership.person): part of Organization leadership schema, links to type Organization leader
Leadership (fb:organization.organization.leadership): links to type Organization leadership, part of Organization schema
Championships (fb:sports.sports_team.championships): links to type Sports League Championship Event, part of Sports Team schema
End date (fb:time.event.end_date): links to type Date/Time, part of Event schema

Example 2:
Question:
In what years did the organization who has someone called Larry Baer in leadership win the world series?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:organization.organization.leadership ?k .
  ?k fb:organization.leadership.person fb:m.0hhv_6h .
  ?c fb:sports.sports_team.championships ?x .
}

Using entities:
Larry Baer (fb:m.0hhv_6h): Laurence M. Baer is the Chief Executive Officer of the San Franc...or League Baseball. He succeeded Bill Neukom on January 1, 2012., has type Organization leader

Using properties:
Person (fb:organization.leadership.person): part of Organization leadership schema, links to type Organization leader
Leadership (fb:organization.organization.leadership): links to type Organization leadership, part of Organization schema
Championships (fb:sports.sports_team.championships): links to type Sports League Championship Event, part of Sports Team schema

Example 3:
Question:
In what year did team owner Ken Kendrick's sports team with the World Series?

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

Using entities:
Ken Kendrick (fb:m.0d_khh): Earl G. "Ken" Kendrick Jr. is a baseball executive with the Nati...Gretzky, considered the most valuable trading card in the world., has type Sports Team Owner

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

[Assistant]
From the examples, it is clear that we need to find the organization(s) where Stan Kasten is in leadership and then find the championships (World Series) won by those organizations. We also need to get the years of those championships.

First, let's find the entity for Stan Kasten in Freebase.

[Tool]
Top 10 entity alternatives:
1. Stan Kasten (fb:m.0fpx_7): Stan Kasten is the former President of the Atlanta Braves and Wa...e current president, and part-owner, of the Los Angeles Dodgers., has type Organization leader
2. Lindsey Graham, Jack Reed, Stan Kasten (fb:m.06y_m0b): has type TV Episode
3. Stan Kasten 06-05-10 Nats Blogger Day (fb:m.0cckk7g)
4. Stan Wawrinka, also known as Stan (fb:m.07hp_p): Stanislas "Stan" Wawrinka is a Swiss professional tennis player....clay his best surface and his serve and backhand his best shots., has type Tennis Player
5. Stanley Baker, also known as Sir Stanley Baker, William Stanley Baker, Stan, Sir William Stanley Baker (fb:m.045wqf): Sir William Stanley Baker was a Welsh actor and film producer., has type Film actor
6. Stanislav Ianevski, also known as Stan, Stanislav Yanevski (fb:m.05wjsm): Stanislav Ianevski is a Bulgarian actor who is perhaps best know...ows Part 1. However, his sequences were cut from the final film., has type Film actor
7. Stan (fb:m.01knw5): "Stan" is a song by American rapper Eminem featuring British sin...all-time. It has sold over 750,000 copies in the United Kingdom., has type Composition
8. -stan (fb:m.0146g6): The suffix -stan is Persian for "place of" or "country". It appe... "land of the Hindus", golestan "place of flowers, garden", etc.
9. Stan, also known as Stan (feat. Elton John) (fb:m.0r5g8c): has type Musical Recording
10. I. Stanford Jolley, also known as J. Stanford Jolley, Stanford I. Jolley, Stan, Stanford Jolley, Stan Jolley (fb:m.0b6hcc8): Isaac Stanford Jolley, Sr., known as I. Stanford Jolley, was a p...y appeared some five hundred times on the large or small screen., has type TV Actor

[Assistant] I found the entity for Stan Kasten: fb:m.0fpx_7. Now, I will find the organizations where Stan Kasten is in leadership.

[Tool] Got no rows and 3 columns

[Assistant] It seems that searching for organizations with Stan Kasten in leadership using the property fb:organization.organization.leadership did not return results. I will try to find the leadership entities related to Stan Kasten using the property fb:organization.leadership.person.

[Tool]
Got 1 row and 3 columns:
| subject      | property                                   | object                    |
| ------------ | ------------------------------------------ | ------------------------- |
| fb:m.0_yv0g3 | Person (fb:organization.leadership.person) | Stan Kasten (fb:m.0fpx_7) |

[Assistant] I found a leadership entity fb:m.0_yv0g3 that is related to Stan Kasten using the property fb:organization.leadership.person. Now, I will find the organizations that have this leadership entity.

[Tool]
Got 1 row and 3 columns:
| subject                          | property                                             | object       |
| -------------------------------- | ---------------------------------------------------- | ------------ |
| Los Angeles Dodgers (fb:m.04mjl) | Leadership (fb:organization.organization.leadership) | fb:m.0_yv0g3 |

[Assistant] I found that the organization with Stan Kasten in leadership is the Los Angeles Dodgers (fb:m.04mjl). Now, I will find the championships (World Series) won by the Los Angeles Dodgers.

[Tool]
Got 5 rows and 3 columns:
| subject                          | property                                            | object                          |
| -------------------------------- | --------------------------------------------------- | ------------------------------- |
| Los Angeles Dodgers (fb:m.04mjl) | Championships (fb:sports.sports_team.championships) | 1988 World Series (fb:m.04j7ml) |
| Los Angeles Dodgers (fb:m.04mjl) | Championships (fb:sports.sports_team.championships) | 1981 World Series (fb:m.04j7dq) |
| Los Angeles Dodgers (fb:m.04mjl) | Championships (fb:sports.sports_team.championships) | 1959 World Series (fb:m.04tfrv) |
| Los Angeles Dodgers (fb:m.04mjl) | Championships (fb:sports.sports_team.championships) | 1965 World Series (fb:m.04tfkz) |
| Los Angeles Dodgers (fb:m.04mjl) | Championships (fb:sports.sports_team.championships) | 1963 World Series (fb:m.04tfp1) |

[Assistant] The Los Angeles Dodgers won the World Series in the years corresponding to these championships: 1988, 1981, 1959, 1965, and 1963. Now, I need to check if Stan Kasten was in leadership during these years or if there are other organizations led by Stan Kasten that won the World Series. I will check if Stan Kasten has leadership in other organizations.

[Tool]
Got 1 row and 3 columns:
| subject                          | property                                             | object       |
| -------------------------------- | ---------------------------------------------------- | ------------ |
| Los Angeles Dodgers (fb:m.04mjl) | Leadership (fb:organization.organization.leadership) | fb:m.0_yv0g3 |

[Assistant] Stan Kasten's leadership entity fb:m.0_yv0g3 is only linked to the Los Angeles Dodgers organization. Now, I will check if there are other leadership entities for Stan Kasten to see if he led other organizations.

[Tool]
Got 1 row and 3 columns:
| subject      | property                                   | object                    |
| ------------ | ------------------------------------------ | ------------------------- |
| fb:m.0_yv0g3 | Person (fb:organization.leadership.person) | Stan Kasten (fb:m.0fpx_7) |

[Assistant] There is only one leadership entity for Stan Kasten, which is linked to the Los Angeles Dodgers. However, from the initial entity description, Stan Kasten was also the former President of the Atlanta Braves. I will check if there is a leadership entity for Stan Kasten related to the Atlanta Braves.

[Tool]
Got 43,465 rows and 3 columns, showing the first 10 rows below:
| subject                                           | property                                             | object        |
| ------------------------------------------------- | ---------------------------------------------------- | ------------- |
| Harvard University (fb:m.03ksy)                   | Leadership (fb:organization.organization.leadership) | fb:m.0h5tktv  |
| Stanford University (fb:m.06pwq)                  | Leadership (fb:organization.organization.leadership) | fb:m.0h6dz0g  |
| Columbia University (fb:m.01w5m)                  | Leadership (fb:organization.organization.leadership) | fb:m.0h6dvvs  |
| Columbia (fb:m.015_1q)                            | Leadership (fb:organization.organization.leadership) | fb:m.0py6fh6  |
| University Yale (fb:m.08815)                      | Leadership (fb:organization.organization.leadership) | fb:m.0h6hjfb  |
| University of California, Berkeley (fb:m.02zd460) | Leadership (fb:organization.organization.leadership) | fb:m.0110q62d |
| Oxford University Press (fb:m.0czzl)              | Leadership (fb:organization.organization.leadership) | fb:m.0n56517  |
| Paramount Pictures (fb:m.05qd_)                   | Leadership (fb:organization.organization.leadership) | fb:m.0n4r4hp  |
| University of Michigan (fb:m.07szy)               | Leadership (fb:organization.organization.leadership) | fb:m.0h6j9pk  |
| BSE (fb:m.02gx7w)                                 | Leadership (fb:organization.organization.leadership) | fb:m.0n69r13  |
| ...                                               | ...                                                  | ...           |

[Assistant] Listing all leadership entities is too large to manually check. I will try to find the leadership entities related to Stan Kasten by searching for leadership entities that have Stan Kasten as a person and then check if any of those leadership entities are linked to the Atlanta Braves.

[Tool]
Got 1 row and 3 columns:
| subject      | property                                   | object                    |
| ------------ | ------------------------------------------ | ------------------------- |
| fb:m.0_yv0g3 | Person (fb:organization.leadership.person) | Stan Kasten (fb:m.0fpx_7) |

[Assistant] There is only one leadership entity fb:m.0_yv0g3 linked to Stan Kasten. I will now check if the Atlanta Braves organization has this leadership entity.

[Tool] Got no rows and 3 columns

[Assistant] I could not find any leadership entity linking Stan Kasten to the Atlanta Braves in Freebase. I will now check the championships won by the Los Angeles Dodgers during the time Stan Kasten was known to be president (he was president from 2012 onwards). I will filter the championships to those after 2012. I will find the years of the championships won by the Los Angeles Dodgers.

[Tool] Got no rows and 1 columns

[Assistant] There are no championships won by the Los Angeles Dodgers after 2012 in the data. I will check the years of the championships won by the Los Angeles Dodgers in general.

[Tool]
Got 5 rows and 1 column:
| year           |
| -------------- |
| 1959 (xsd:int) |
| 1963 (xsd:int) |
| 1965 (xsd:int) |
| 1981 (xsd:int) |
| 1988 (xsd:int) |

[Assistant] The Los Angeles Dodgers won the World Series in the years 1959, 1963, 1965, 1981, and 1988. Since Stan Kasten was not president during these years, I will check if there are other organizations led by Stan Kasten that won the World Series. I will search for other organizations where Stan Kasten is in leadership.

[Tool]
Got 43,465 rows and 3 columns, showing the first 10 rows below:
| subject                                           | property                                             | object        |
| ------------------------------------------------- | ---------------------------------------------------- | ------------- |
| Harvard University (fb:m.03ksy)                   | Leadership (fb:organization.organization.leadership) | fb:m.0h5tktv  |
| Stanford University (fb:m.06pwq)                  | Leadership (fb:organization.organization.leadership) | fb:m.0h6dz0g  |
| Columbia University (fb:m.01w5m)                  | Leadership (fb:organization.organization.leadership) | fb:m.0h6dvvs  |
| Columbia (fb:m.015_1q)                            | Leadership (fb:organization.organization.leadership) | fb:m.0py6fh6  |
| University Yale (fb:m.08815)                      | Leadership (fb:organization.organization.leadership) | fb:m.0h6hjfb  |
| University of California, Berkeley (fb:m.02zd460) | Leadership (fb:organization.organization.leadership) | fb:m.0110q62d |
| Oxford University Press (fb:m.0czzl)              | Leadership (fb:organization.organization.leadership) | fb:m.0n56517  |
| Paramount Pictures (fb:m.05qd_)                   | Leadership (fb:organization.organization.leadership) | fb:m.0n4r4hp  |
| University of Michigan (fb:m.07szy)               | Leadership (fb:organization.organization.leadership) | fb:m.0h6j9pk  |
| BSE (fb:m.02gx7w)                                 | Leadership (fb:organization.organization.leadership) | fb:m.0n69r13  |
| ...                                               | ...                                                  | ...           |

[Assistant] Since searching for all organizations with leadership entities is too large, I will try a different approach. I will search for sports teams where Stan Kasten is the owner or in leadership and then check their championships. I will search for properties related to Stan Kasten with the query "owner" or "leader".

[Tool]
Top 10 property alternatives:
1. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
2. Leader of (fb:business.board_member.leader_of): links to type Organization leadership, part of Organization leader schema
3. Name (fb:type.object.name): part of Object schema, links to type Text
4. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
5. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
6. Article (fb:common.topic.article): links to type Document, part of Topic schema
7. Key (fb:type.object.key): part of Object schema, links to type Key
8. Image (fb:common.topic.image): part of Topic schema, links to type Image
9. Type (fb:type.object.type): part of Object schema, links to type Type
10. Gender (fb:people.person.gender): part of Person schema, links to type Gender

No other items found

[Assistant] There is a property "Leader of" (fb:business.board_member.leader_of) that might indicate organizations led by Stan Kasten. I will check the objects of this property for Stan Kasten.

[Tool]
Got 1 row and 3 columns:
| subject                   | property                                       | object       |
| ------------------------- | ---------------------------------------------- | ------------ |
| Stan Kasten (fb:m.0fpx_7) | Leader of (fb:business.board_member.leader_of) | fb:m.0_yv0g3 |

[Assistant] The property "Leader of" for Stan Kasten points to the leadership entity fb:m.0_yv0g3, which we already know is linked to the Los Angeles Dodgers. I will now check if Stan Kasten has any other leadership entities.

[Tool]
Got 1 row and 3 columns:
| subject      | property                                   | object                    |
| ------------ | ------------------------------------------ | ------------------------- |
| fb:m.0_yv0g3 | Person (fb:organization.leadership.person) | Stan Kasten (fb:m.0fpx_7) |

[Assistant] Stan Kasten has only one leadership entity fb:m.0_yv0g3, which is linked to the Los Angeles Dodgers. I will now check if Stan Kasten has any ownership of sports teams using the property fb:sports.professional_sports_team.owner_s.

[Tool] Got no rows and 3 columns

[Assistant]
Stan Kasten is not listed as an owner of any sports team in Freebase. Based on the information available, Stan Kasten is linked to the Los Angeles Dodgers organization in leadership. The Dodgers won the World Series in 1959, 1963, 1965, 1981, and 1988. However, Stan Kasten was not president during those years. There is no information about other organizations led by Stan Kasten that won the World Series.

I will now provide the final answer with the years the Los Angeles Dodgers won the World Series.

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The answer lists the years the Los Angeles Dodgers won the World Series, but it does not consider the specific time period when Stan Kasten was part of the organization's leadership. Stan Kasten was president of the Dodgers from 1998 to 2017, so the query should filter championships won only during those years. The current query returns all Dodgers' championships regardless of the time frame related to Stan Kasten's involvement. To improve, the query should include a filter on the championship years to be within Stan Kasten's tenure with the Dodgers, ensuring the answer is accurate and relevant to the question.

[Assistant] Thank you for the feedback. I will refine the query to only include the championships won by the Los Angeles Dodgers during the years Stan Kasten was president, which is from 1998 to 2017. I will filter the championship years to be within this range.

[Tool] Got no rows and 1 columns

[Assistant] There are no World Series championships won by the Los Angeles Dodgers during Stan Kasten's presidency from 1998 to 2017 according to the data. I will now check if Stan Kasten was in leadership of any other organizations that won the World Series during his tenure. I will search for organizations led by Stan Kasten and their championships.

[Tool]
Got 43,465 rows and 3 columns, showing the first 10 rows below:
| subject                                           | property                                             | object        |
| ------------------------------------------------- | ---------------------------------------------------- | ------------- |
| Harvard University (fb:m.03ksy)                   | Leadership (fb:organization.organization.leadership) | fb:m.0h5tktv  |
| Stanford University (fb:m.06pwq)                  | Leadership (fb:organization.organization.leadership) | fb:m.0h6dz0g  |
| Columbia University (fb:m.01w5m)                  | Leadership (fb:organization.organization.leadership) | fb:m.0h6dvvs  |
| Columbia (fb:m.015_1q)                            | Leadership (fb:organization.organization.leadership) | fb:m.0py6fh6  |
| University Yale (fb:m.08815)                      | Leadership (fb:organization.organization.leadership) | fb:m.0h6hjfb  |
| University of California, Berkeley (fb:m.02zd460) | Leadership (fb:organization.organization.leadership) | fb:m.0110q62d |
| Oxford University Press (fb:m.0czzl)              | Leadership (fb:organization.organization.leadership) | fb:m.0n56517  |
| Paramount Pictures (fb:m.05qd_)                   | Leadership (fb:organization.organization.leadership) | fb:m.0n4r4hp  |
| University of Michigan (fb:m.07szy)               | Leadership (fb:organization.organization.leadership) | fb:m.0h6j9pk  |
| BSE (fb:m.02gx7w)                                 | Leadership (fb:organization.organization.leadership) | fb:m.0n69r13  |
| ...                                               | ...                                                  | ...           |

[Assistant] Since searching all organizations with leadership entities is too large, I will try to find the organizations led by Stan Kasten by searching for leadership entities related to Stan Kasten and then find the organizations linked to those leadership entities. I already know one leadership entity fb:m.0_yv0g3 linked to Stan Kasten. I will check if there are any other leadership entities for Stan Kasten.

[Tool]
Got 1 row and 3 columns:
| subject      | property                                   | object                    |
| ------------ | ------------------------------------------ | ------------------------- |
| fb:m.0_yv0g3 | Person (fb:organization.leadership.person) | Stan Kasten (fb:m.0fpx_7) |

[Assistant] Stan Kasten has only one leadership entity fb:m.0_yv0g3, which is linked to the Los Angeles Dodgers. Since there are no championships won by the Dodgers during Stan Kasten's presidency from 1998 to 2017, the answer is that Stan Kasten's organization did not win the World Series during his tenure. I will now provide the final answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The system correctly identified Stan Kasten's role as president of the Los Angeles Dodgers from 1998 to 2017 and queried the championships won by the Dodgers during that period. The SPARQL query is well-formed, filtering championships by start date within the specified years. The result correctly shows no World Series wins in that timeframe, which matches the answer provided. No further refinement is needed.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?government ?governmentLabel WHERE {
  ?country fb:location.country.currency_formerly_used fb:m.090krt .
  ?country fb:location.country.form_of_government ?government .
  OPTIONAL {
    ?government rdfs:label ?governmentLabel FILTER ( lang( ?governmentLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| government                         | governmentLabel           |
| ---------------------------------- | ------------------------- |
| Parliamentary system (fb:m.018wl5) | Parliamentary system (en) |

The type of government in the country where the Old Israeli shekel is the currency is a Parliamentary system.

[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 type of government in the country where the Old Israeli shekel is the currency?

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

[Tool]
Example 1:
Question:
What government system is in place where the Old Israeli sheckel is accepted currency?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:location.country.currency_formerly_used fb:m.090krt .
  ?c fb:location.country.form_of_government ?x .
}

Using entities:
Old Israeli shekel (fb:m.090krt): The old shekel, known at the time as simply shekel was the curre...kel sign was . The Israeli lira was used until 24 February 1980., has type Currency

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

Example 2:
Question:
What is the main language of the country whose currency is the Old Israeli shekel?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:location.country.currency_formerly_used fb:m.090krt .
  ?c fb:location.country.official_language ?x .
}

Using entities:
Old Israeli shekel (fb:m.090krt): The old shekel, known at the time as simply shekel was the curre...kel sign was . The Israeli lira was used until 24 February 1980., has type Currency

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

Example 3:
Question:
What is the religion of the people in the country where Old Israeli shekel is the currency?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:location.country.currency_formerly_used fb:m.090krt .
  ?c fb:location.statistical_region.religions ?y .
  ?y fb:location.religion_percentage.religion ?x .
}

Using entities:
Old Israeli shekel (fb:m.090krt): The old shekel, known at the time as simply shekel was the curre...kel sign was . The Israeli lira was used until 24 February 1980., has type Currency

Using properties:
Currency Formerly Used (fb:location.country.currency_formerly_used): links to type Currency, part of Country schema
Religion (fb:location.religion_percentage.religion): part of Religion percentage schema, links to type Religion
Religions (fb:location.statistical_region.religions): links to type Religion percentage, part of Statistical region schema

[Assistant]
From the similar examples, I found that the Old Israeli shekel is represented by the entity fb:m.090krt in Freebase. The property for the country that formerly used a currency is fb:location.country.currency_formerly_used. The property for the form or type of government of a country is fb:location.country.form_of_government.

I will now write a SPARQL query to find the type of government in the country where the Old Israeli shekel is the currency.

[Tool]
Got 1 row and 2 columns:
| government                         | governmentLabel           |
| ---------------------------------- | ------------------------- |
| Parliamentary system (fb:m.018wl5) | Parliamentary system (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the country where the Old Israeli shekel was formerly used as currency and retrieves the form of government for that country. The query returns the government type along with its English label, which matches the answer provided: Parliamentary system. The query uses appropriate properties and entities, and the execution result confirms the correctness of the answer. No further refinement is necessary.