PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?profession ?professionLabel WHERE {
  fb:m.087k1_ fb:people.person.profession ?profession .
  OPTIONAL {
    ?profession rdfs:label ?professionLabel FILTER ( lang( ?professionLabel ) = 'en' )
  }
}

Got 1 row and 2 columns:
| profession           | professionLabel |
| -------------------- | --------------- |
| Actor (fb:m.02hrh1q) | Actor (en)      |

Helen Flanagan is an actor.

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

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

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

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

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

[User] what does helen flanagan do?

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

[Tool]
Example 1:
Question:
what form of government does greece use?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.035qy ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.035qy fb:location.country.form_of_government ?x .
}

Using entities:
Greece, also known as Hellas, Hellenic Republic (fb:m.035qy): Greece, officially the Hellenic Republic and known since ancient...ntainous, of which Mount Olympus is the highest peak at 2,917 m., has type Country

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

Example 2:
Question:
what years have the dodgers won the world series?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.04mjl ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.04mjl fb:sports.sports_team.championships ?x .
}

Using entities:
Los Angeles Dodgers (fb:m.04mjl): The Los Angeles Dodgers are a professional baseball team in Los ...cutive from 1979 to 1982 and five consecutive from 1992 to 1996., has type Professional Sports Team

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

Example 3:
Question:
what language do you speak in finland?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02vzc ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02vzc fb:location.country.languages_spoken ?x .
}

Using entities:
Finland, also known as Republic of Finland, Suomi (fb:m.02vzc): Finland, officially the Republic of Finland, is a Nordic country... the prevalence of the Swedish language and its official status., has type Country

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

[Assistant]
The question is "what does Helen Flanagan do?" which is asking about the occupation or profession of Helen Flanagan.

Step 1: Search for the entity "Helen Flanagan" in the Freebase knowledge graph to get the entity identifier.
Step 2: Search for properties related to occupation or profession for the entity Helen Flanagan.
Step 3: Construct a SPARQL query to retrieve the occupation or profession of Helen Flanagan.

I will start by searching for the entity "Helen Flanagan".

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

[Assistant] Helen Flanagan as a person is represented by the entity fb:m.087k1_. She is described as an English actress, model, and television personality. Now I will search for properties related to occupation or profession for this entity to confirm and get more details.

[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. Ethnicity (fb:people.person.ethnicity): links to type Ethnicity, part of Person schema
7. Type (fb:type.object.type): part of Object schema, links to type Type
8. Name (fb:type.object.name): part of Object schema, links to type Text
9. Key (fb:type.object.key): part of Object schema, links to type Key
10. Daylife Topic (fb:common.identity.daylife_topic): links to type Enumeration, part of Identity schema

No other items found

[Assistant]
The property "Profession" (fb:people.person.profession) is the most relevant to answer the question about what Helen Flanagan does.

I will now construct a SPARQL query to retrieve the profession(s) of Helen Flanagan (fb:m.087k1_).

[Tool]
Got 1 row and 2 columns:
| profession           | professionLabel |
| -------------------- | --------------- |
| Actor (fb:m.02hrh1q) | Actor (en)      |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the profession of Helen Flanagan from the Freebase knowledge graph, returning both the identifier and the English label. The answer 'Helen Flanagan is an actor.' is accurate and concise based on the query result. The query follows best practices by including an optional label with language filtering. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?placeOfBirth ?placeOfBirthLabel WHERE {
  fb:m.0261x8t fb:people.person.place_of_birth ?placeOfBirth .
  OPTIONAL {
    ?placeOfBirth rdfs:label ?placeOfBirthLabel .
    FILTER ( lang( ?placeOfBirthLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| placeOfBirth               | placeOfBirthLabel |
| -------------------------- | ----------------- |
| Los Angeles (fb:m.030qb3t) | Los Angeles (en)  |

Kim Kardashian was born in Los Angeles.

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

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

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

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

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

[User] where did kim kardashian come from?

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

[Tool]
Example 1:
Question:
what countries in north america continent?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.059g4 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.059g4 fb:base.locations.continents.countries_within ?x .
}

Using entities:
North America (fb:m.059g4): North America is a continent wholly within the Northern Hemisphe... ago. The Classic stage spans roughly the 6th to 13th centuries., has type Continent

Using properties:
Countries within (fb:base.locations.continents.countries_within): part of Continents schema, links to type Countries

Example 2:
Question:
where is hong kong china?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03h64 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03h64 fb:location.location.containedby ?x .
}

Using entities:
Hong Kong, also known as Hong Kong Special Administrative...f the People's Republic of China, Hongkong, Hong Kong Special Administrative Region, Hongkong Island, Hong Kon (fb:m.03h64): Hong Kong, officially known as Hong Kong Special Administrative ... on 1 July 1997 under the principle of one country, two systems., Hong Kong is one of two Special Administrative Regions (SARs) of... is renowned for its expansive skyline and deep natural harbour., has type Country

Using properties:
Contained by (fb:location.location.containedby): part of Location schema, links to type Location

Example 3:
Question:
what year were the new york yankees established?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0cqt41 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0cqt41 fb:sports.sports_team.founded ?x .
}

Using entities:
New York Yankees, also known as The Pinstripes, The Bronx Bombers, The Pinstripers, The Bronx Zoo, New York Highlanders (fb:m.0cqt41): The New York Yankees are a Major League Baseball team based in t...d in 1995, which allowed  the two teams to meet in the playoffs., The New York Yankees are an American professional baseball team ... attendance—in 2011, the Yankees had the 2nd-highest attendance., has type Professional Sports Team

Using properties:
Founded (fb:sports.sports_team.founded): part of Sports Team schema, links to type Date/Time

[Assistant] From the examples, it seems that the property "fb:location.location.containedby" is used to find where a location or entity is from or contained by. To answer the question "where did Kim Kardashian come from?", I will first search for the entity "Kim Kardashian" in the knowledge graph. Then, I will look for properties related to her origin or place of birth.

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

[Assistant] I found the entity for Kim Kardashian with the identifier fb:m.0261x8t. Now I will search for properties related to her origin or place of birth. I will look for properties of this entity that might indicate where she came from.

[Tool]
Top 10 property alternatives:
1. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
2. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
3. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
4. Profession (fb:people.person.profession): links to type Profession, part of Person schema
5. Name (fb:type.object.name): part of Object schema, links to type Text
6. Ethnicity (fb:people.person.ethnicity): links to type Ethnicity, part of Person schema
7. Places lived (fb:people.person.places_lived): links to type Place lived, part of Person schema
8. Name ID (fb:imdb.topic.name_id): links to type Enumeration, part of Topic schema
9. Key (fb:type.object.key): part of Object schema, links to type Key
10. Gender (fb:people.person.gender): part of Person schema, links to type Gender

No other items found

[Assistant] The property "fb:people.person.place_of_birth" seems to be the most relevant to answer the question "where did Kim Kardashian come from?" as it indicates the place of birth. I will now construct a SPARQL query to retrieve the place of birth of Kim Kardashian using this property.

[Tool]
Got 1 row and 2 columns:
| placeOfBirth               | placeOfBirthLabel |
| -------------------------- | ----------------- |
| Los Angeles (fb:m.030qb3t) | Los Angeles (en)  |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the place of birth of Kim Kardashian from the Freebase knowledge graph. It returns both the identifier and the English label of the place, which is Los Angeles. The answer given is accurate and directly addresses the user's question about where Kim Kardashian came from (her place of birth). The query and answer are complete and appropriate.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?case ?caseLabel WHERE {
  fb:m.07sz1 fb:law.court.legal_cases ?case .
  OPTIONAL {
    ?case fb:type.object.name ?caseLabel
  }
}
LIMIT 20

Got 20 rows and 2 columns, showing the first 5 and last 5 rows below:
| case                                                                                | caseLabel                                                                |
| ----------------------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Burwell v. Hobby Lobby (fb:m.0102pqly)                                              | Burwell v. Hobby Lobby (en)                                              |
| Motor Vehicles Manufacturers Ass... Mutual Automobile Insurance Co. (fb:m.010f95gt) | Motor Vehicles Manufacturers Ass... Mutual Automobile Insurance Co. (en) |
| Schuette v. Coalition to Defend Affirmative Action (fb:m.010f9y51)                  | Schuette v. Coalition to Defend Affirmative Action (en)                  |
| Myers v. United States (fb:m.01_0hd)                                                | Myers v. United States (en)                                              |
| Riley v. California (fb:m.010hmy_z)                                                 | Riley v. California (en)                                                 |
| ...                                                                                | ...                                                                      |
| Plessy v. Ferguson (fb:m.011x02)                                                    | Plessy v. Ferguson (it)                                                  |
| Plessy v. Ferguson (fb:m.011x02)                                                    | Плесси против Фергюсона (ru)                                             |
| Plessy v. Ferguson (fb:m.011x02)                                                    | פסק דין פלסי נגד פרגוסון (iw)                                            |
| Plessy v. Ferguson (fb:m.011x02)                                                    | 플레시 대 퍼거슨 사건 (ko)                                                        |
| Plessy v. Ferguson (fb:m.011x02)                                                    | プレッシー対ファーガソン裁判 (ja)                                                      |

Here are some Supreme Court cases of the United States with their identifiers and labels.

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

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

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

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

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

[User] what are the supreme court cases?

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

[Tool]
Example 1:
Question:
what kind of government does chile have today?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01p1v ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01p1v fb:location.country.form_of_government ?x .
}

Using entities:
Chile, also known as Republic of Chile (fb:m.01p1v): Chile, officially the Republic of Chile, is a South American cou...nth of fjords, inlets, canals, twisting peninsulas, and islands., has type Country

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

Example 2:
Question:
what country is the west bank located in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.082pc ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.082pc fb:location.administrative_division.country ?x .
}

Using entities:
West Bank (fb:m.082pc): The West Bank Arabic: الضفة الغربية aḍ-Ḍiffah l-Ġarbiyyah; Hebr...m, illegal under international law, though Israel disputes this., has type Administrative Division

Using properties:
Country (fb:location.administrative_division.country): part of Administrative Division schema, links to type Country

Example 3:
Question:
what else did eli whitney invent?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02ncr ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02ncr fb:law.inventor.inventions ?x .
}

Using entities:
Eli Whitney (fb:m.02ncr): Eli Whitney was an American inventor best known for inventing th... He continued making arms and inventing until his death in 1825., has type Inventor

Using properties:
Inventions (fb:law.inventor.inventions): links to type Invention, part of Inventor schema

[Assistant]
The examples did not directly show a query for "supreme court cases," but they provide a pattern for querying entities and their properties.

Step 1: Identify the entity for "Supreme Court" or "Supreme Court cases."
Step 2: Identify properties related to court cases or legal cases.

I will start by searching for the entity "Supreme Court" in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Supreme court (fb:m.0ctwx3): A supreme court is the highest court within the hierarchy of man...and the former Supreme Court of Judicature of England and Wales., has type Literature Subject
2. Supreme Court (fb:m.01rt58s): has type Musical Group
3. Supreme Court (fb:m.072g_g): The Supreme Court of Hong Kong was the highest court in Hong Kon... made up of the Court of First Instance and the Court of Appeal., has type Court
4. Supreme Court (fb:m.0n48695): Supreme Court was a British Thoroughbred racehorse and sire. Aft...retired to stud, where he had some success as a sire of winners., has type Organism
5. Supreme Court of the Pitcairn Islands, also known as Supreme Court (fb:m.0c5tt2): The Pitcairn Supreme Court is the supreme court of the Pitcairn ...y. Hearings of the court may also be held in the United Kingdom., has type Court
6. Supreme Court (fb:m.0f3tqrm): has type Musical Recording
7. Supreme Court (fb:m.09h92c): The Supreme Court of Fiji is one of three courts established by ...eview any judgement or decision that it has previously rendered., has type Court
8. Supreme Court (fb:m.0dkpmlm): has type TV Episode
9. Supreme Court (fb:m.0h3xvgp): The Supreme Court is the highest judicial authority in Sudan, lo...Court will sign a Memorandum of Understanding in September 2011.
10. Supreme Court (fb:m.0lz99hp)

[Assistant]
There are multiple entities named "Supreme Court" for different jurisdictions. The most relevant for general "Supreme Court cases" might be the generic Supreme Court entity (fb:m.0ctwx3) or specific courts like the Supreme Court of Hong Kong (fb:m.072g_g) or others.

I will now search for properties related to "cases" or "court cases" for the generic Supreme Court entity fb:m.0ctwx3.

[Tool]
Top 10 property alternatives:
1. Type (fb:type.object.type): part of Object schema, links to type Type
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. Name (fb:type.object.name): part of Object schema, links to type Text
5. Key (fb:type.object.key): part of Object schema, links to type Key
6. Subject of (fb:common.topic.subject_of): part of Topic schema, links to type Topic
7. Article (fb:common.topic.article): links to type Document, part of Topic schema
8. Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
9. Notable for (fb:common.topic.notable_for): links to type notable_for, part of Topic schema
10. Pronunciation (fb:base.schemastaging.context_name.pronunciation): links to type Pronunciation, part of Context name schema

No other items found

[Assistant]
The generic Supreme Court entity (fb:m.0ctwx3) does not have specific properties related to court cases.

I will try a different approach: search for entities related to "Supreme Court case" to see if there is a specific class or type for Supreme Court cases.

[Tool]
Top 10 entity alternatives:
1. Contemporary Supreme Court Cases (fb:m.06ty839): has type Book
2. Famous Supreme Court cases (fb:m.068_pbs): has type Book
3. Historic Supreme Court Cases (fb:m.06rs5_3): has type Book
4. Supreme Court Case Selections Act (fb:m.0cn_fjt): The Supreme Court Case Selections Act of 1988 is an act of Congr...from federal district courts and in limited categories of cases.
5. Supreme Court Cases Through Primary Sources (fb:m.068xzgs): has type Book
6. Supreme Court Cases on Sex Discrimination (fb:m.06g_l7m): has type Book
7. Supreme Court of Canada - Case Information (fb:m.0bm58y0)
8. Landmark Supreme Court cases: a reference guide (fb:m.090n2c7): has type Book Edition
9. Case selection in the United States Supreme Court (fb:m.095rz7m): has type Book Edition
10. Case selection in the United States Supreme Court (fb:m.06nt7lp): has type Book

[Assistant]
The search results mostly show books and acts related to Supreme Court cases, but not a specific entity type for Supreme Court cases themselves.

I will try to search for entities of type "court case" or "legal case" to see if there is a general class for court cases.

[Tool]
Top 10 entity alternatives:
1. Trial, also known as court case, Legal case (fb:m.0852v5q): a base type for any kind of trial
2. Series 3, Episode 2, also known as Court Case (fb:m.07l0z7n): has type TV Episode
3. Court Case (fb:m.0dwxct1): has type Musical Recording
4. Court Case (fb:m.0krs8ld): Steve and Alex find themselves on opposite sides of a court case., has type TV Episode
5. Court Case (fb:m.0g29lgv): has type Musical Recording
6. Court Case (fb:m.0mxsv_p)
7. Court Case (fb:m.0mc362f)
8. Court Cases (fb:m.01dg15g): has type Musical Recording
9. Court Cases (fb:m.0l6tz1z)
10. Babiniotis dictionary court case, also known as Bampiniotis dictionary court case (fb:m.0bmd3q1): The court case of the Babiniotis dictionary was fought in Greece...essors, and later the court case was reviewed by a higher court.

[Assistant]
There is an entity "Trial, also known as court case, Legal case" (fb:m.0852v5q) which is a base type for any kind of trial or court case. This might be the class we are looking for.

I will now try to find instances of this type (fb:m.0852v5q) to get some examples of court cases.

[Tool] Got no rows and 2 columns

[Assistant]
There are no direct instances of the type "Trial, also known as court case, Legal case" (fb:m.0852v5q) in the knowledge graph.

I will try to find court cases by searching for entities related to "Supreme Court" and "case" together in the name or description.

[Tool]
Top 10 entity alternatives:
1. Contemporary Supreme Court Cases (fb:m.06ty839): has type Book
2. Famous Supreme Court cases (fb:m.068_pbs): has type Book
3. Historic Supreme Court Cases (fb:m.06rs5_3): has type Book
4. Supreme Court Case Selections Act (fb:m.0cn_fjt): The Supreme Court Case Selections Act of 1988 is an act of Congr...from federal district courts and in limited categories of cases.
5. Supreme Court Cases Through Primary Sources (fb:m.068xzgs): has type Book
6. Supreme Court Cases on Sex Discrimination (fb:m.06g_l7m): has type Book
7. Supreme Court of Canada - Case Information (fb:m.0bm58y0)
8. Landmark Supreme Court cases: a reference guide (fb:m.090n2c7): has type Book Edition
9. Case selection in the United States Supreme Court (fb:m.095rz7m): has type Book Edition
10. Case selection in the United States Supreme Court (fb:m.06nt7lp): has type Book

[Assistant]
The knowledge graph does not seem to have a direct list or instances of Supreme Court cases. Most results are books or documents about Supreme Court cases.

Given this, I will provide a query that retrieves entities of type "Trial" or "Legal case" (fb:m.0852v5q) if any exist, with their labels, as a general answer to "what are the supreme court cases?" since specific Supreme Court cases are not directly available.

I will finalize the answer with this query.

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The current SPARQL query attempts to retrieve general court cases by filtering entities of type fb:m.0852v5q (trial or legal case), but it returns no results. The question specifically asks for Supreme Court cases, which is a more specific subset of court cases. The query should be refined to target Supreme Court cases specifically, possibly by identifying the Supreme Court entity and retrieving cases associated with it. Additionally, the query should ensure it returns the identifiers of the cases as required. Since the current query returns no results, it is not a correct or complete answer. I recommend revising the query to focus on Supreme Court cases and verifying that the knowledge graph contains such data.

[Assistant]
Thank you for the feedback. I understand that the query should specifically target Supreme Court cases rather than general court cases.

I will now try to find properties related to cases or decisions for a specific Supreme Court entity, for example, the Supreme Court of the United States, which is a common reference for "Supreme Court cases."

First, I will search for the entity "Supreme Court of the United States" to get its identifier.

[Tool]
Top 10 entity alternatives:
1. Supreme Court of the United States, also known as United States Supreme Court, U.S. Supreme Court, us supreme court, SCOTUS (fb:m.07sz1): The Supreme Court of the United States is the highest federal co...efs that track with those philosophical or political categories., has type Court
2. The Supreme Court of the United States (fb:m.068xzg8): has type Book
3. The Supreme Court of the United States (fb:m.06hd54w): has type Book
4. The Supreme Court of the United States (fb:m.06v1f6r): has type Book
5. The Supreme Court of the United States (fb:m.06vvjt0): has type Book
6. Supreme Court of the United States (fb:m.03s6x67)
7. Supreme Court of the United States (fb:m.07pwv4y)
8. Supreme Court of the United States (fb:m.0bk60s7)
9. Demographics of the Supreme Court of the United States (fb:m.0118p_hr): The demographics of the Supreme Court of the United States encom...he 21st century saw the first appointment of a Hispanic justice.
10. Clerk of the Supreme Court of the United States (fb:m.02qr0s7): The Clerk of the Supreme Court of the United States is the offic...d maintaining its records. The current Clerk is Scott S. Harris., has type Government Office or Title

[Assistant]
The entity for the Supreme Court of the United States is fb:m.07sz1.

Next, I will search for properties of this entity related to "case" or "decision" to find how Supreme Court cases might be linked.

[Tool]
Top 10 property alternatives:
1. Legal cases (fb:law.court.legal_cases): links to type Legal case, part of Court schema
2. Type (fb:type.object.type): part of Object schema, links to type Type
3. Decision (fb:user.rca.default_domain.court.decision): links to type US Court Decision, part of Court schema
4. Image (fb:common.topic.image): part of Topic schema, links to type Image
5. Description (fb:common.topic.description): part of Topic schema, links to type Text
6. Name (fb:type.object.name): part of Object schema, links to type Text
7. Key (fb:type.object.key): part of Object schema, links to type Key
8. Subject of (fb:common.topic.subject_of): part of Topic schema, links to type Topic
9. Jurisdiction (fb:law.court.jurisdiction): links to type Court jurisdiction area, part of Court schema
10. Jurisdiction (fb:government.governmental_body.jurisdiction): links to type Governmental Jurisdiction, part of Governmental Body schema

No other items found

[Assistant]
The property "Legal cases" (fb:law.court.legal_cases) is linked to the type Legal case and is part of the Court schema. This seems to be the property that links a court to its legal cases.

I will now write a SPARQL query to retrieve the legal cases of the Supreme Court of the United States (fb:m.07sz1) along with their labels if available.

[Tool]
Got 20 rows and 2 columns, showing the first 5 and last 5 rows below:
| case                                                                                | caseLabel                                                                |
| ----------------------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Burwell v. Hobby Lobby (fb:m.0102pqly)                                              | Burwell v. Hobby Lobby (en)                                              |
| Motor Vehicles Manufacturers Ass... Mutual Automobile Insurance Co. (fb:m.010f95gt) | Motor Vehicles Manufacturers Ass... Mutual Automobile Insurance Co. (en) |
| Schuette v. Coalition to Defend Affirmative Action (fb:m.010f9y51)                  | Schuette v. Coalition to Defend Affirmative Action (en)                  |
| Myers v. United States (fb:m.01_0hd)                                                | Myers v. United States (en)                                              |
| Riley v. California (fb:m.010hmy_z)                                                 | Riley v. California (en)                                                 |
| ...                                                                                | ...                                                                      |
| Plessy v. Ferguson (fb:m.011x02)                                                    | Plessy v. Ferguson (it)                                                  |
| Plessy v. Ferguson (fb:m.011x02)                                                    | Плесси против Фергюсона (ru)                                             |
| Plessy v. Ferguson (fb:m.011x02)                                                    | פסק דין פלסי נגד פרגוסון (iw)                                            |
| Plessy v. Ferguson (fb:m.011x02)                                                    | 플레시 대 퍼거슨 사건 (ko)                                                        |
| Plessy v. Ferguson (fb:m.011x02)                                                    | プレッシー対ファーガソン裁判 (ja)                                                      |

[Assistant]
I have found legal cases associated with the Supreme Court of the United States. Here is a SPARQL query that retrieves these Supreme Court cases along with their labels:

```sparql
SELECT DISTINCT ?case ?caseLabel WHERE {
  fb:m.07sz1 fb:law.court.legal_cases ?case .
  OPTIONAL { ?case fb:type.object.name ?caseLabel }
} LIMIT 20
```

This query returns the identifiers and labels of Supreme Court cases. I will now finalize the answer with this query.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves a list of Supreme Court cases from the Freebase knowledge graph, including their identifiers and labels. The query uses the entity for the Supreme Court of the United States and the property for legal cases, which is appropriate for the question. The optional retrieval of case labels is also handled well. The result includes well-known Supreme Court cases, indicating the query is effective. No further refinement is necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?wifeName WHERE {
  fb:m.018fzs fb:people.person.spouse_s ?marriage .
  ?marriage fb:people.marriage.spouse ?wife .
  FILTER ( ?wife != fb:m.018fzs ) .
  OPTIONAL {
    ?marriage fb:people.marriage.from ?fromDate .
  }
  ?wife fb:type.object.name ?wifeName .
  FILTER NOT EXISTS {
    ?marriage fb:people.marriage.to ?toDate .
  }
}
ORDER BY DESC ( ?fromDate )
LIMIT 1

Got 1 row and 1 column:
| wifeName               |
| ---------------------- |
| Callista Gingrich (en) |

Newt Gingrich's current wife's name is Callista Gingrich.

[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 newt gingrich's wife's name?

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

[Tool]
Example 1:
Question:
what albums did john frusciante play on?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0191h5 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0191h5 fb:music.artist.album ?x .
}

Using entities:
John Frusciante, also known as Trickfinger, John Anthony Frusciante, Frusciante, John, Greenman, Greenie (fb:m.0191h5): John Anthony Frusciante is an American guitarist, singer, produc...ecame overwhelmed by the band's new popularity and quit in 1992., has type Musical Artist

Using properties:
Albums (fb:music.artist.album): part of Musical Artist schema, links to type Musical Album

Example 2:
Question:
what state in chicago in?

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:location.location.containedby ?x .
  ?x fb:common.topic.notable_types fb:m.0kpys4 .
}

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
US State (fb:m.0kpys4): A US State is one of the fifty sub-national entitites comprising... of America. Each state has its own capital city and government.

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Contained by (fb:location.location.containedby): part of Location schema, links to type Location

Example 3:
Question:
who played dorothy in the wizard of oz movie?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.020hj1 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.020hj1 fb:film.film_character.portrayed_in_films ?y .
  ?y fb:film.performance.actor ?x .
  ?y fb:film.performance.film fb:m.02q52q .
}

Using entities:
Dorothy Gale (fb:m.020hj1): Dorothy Gale is a fictional character and protagonist of many of... officially makes her a princess of Oz later in the book series., has type Film character
The Wizard of Oz, also known as Troldmanden fra Oz, O Feiticeiro de Oz, Ozu no mahôtsukai, Oz büyücüsü, Óz, a csodák csodája (fb:m.02q52q): The Wizard of Oz is a 1939 American musical fantasy film produce... categories including Best Original Song for "Over the Rainbow"., The Wizard of Oz is a 1939 musical fantasy adventure film writte...rence Ryerson, Edgar Allan Woolf and directed by Victor Fleming., has type Award-Winning Work

Using properties:
Portrayed in films (fb:film.film_character.portrayed_in_films): links to type Film performance, part of Film character schema
Actor (fb:film.performance.actor): part of Film performance schema, links to type Film actor
Film (fb:film.performance.film): part of Film performance schema, links to type Film

[Assistant] I have seen examples of how to query for relationships such as "wife" or "spouse" of a person. Now I will search for the entity corresponding to "Newt Gingrich" in the Freebase knowledge graph to get his identifier. Then I will look for properties related to "wife" or "spouse" for this entity.

[Tool]
Top 10 entity alternatives:
1. Newt Gingrich, also known as Newt, Rep. Newt Gingrich, Rep. Gingrich, Newton "Newt" Leroy Gingrich, Newton Leroy "Newt" Gingrich (fb:m.018fzs): Newton Leroy "Newt" Gingrich is an American politician, historia...n 1997, and in 1998 passed the first balanced budget since 1969., has type U.S. Congressperson
2. Newt Gingrich (fb:m.05nfprq): TONIGHT: Author of "Never Call Retreat," Newt Gingrich! Plus, Stephen Colbert with "This Week in God"., has type TV Episode
3. Newt Gingrich (fb:m.05nfcb3): has type TV Episode
4. Newt Gingrich (fb:m.0dl0lms): Richard Shelby releases nominees, and Newt Gingrich discusses the radical Obama administration., has type TV Episode
5. Newt Gingrich (fb:m.06y3kvd): has type TV Episode
6. Newt Gingrich (fb:m.05nfprm): has type TV Episode
7. Newt Gingrich (fb:m.05nfcqx): has type TV Episode, Colin Quinn
8. Newt Gingrich, also known as Newt Gingrich, Jessalyn Gilsig (fb:m.0bmn7ll): has type TV Episode
9. Newt Gingrich (fb:m.0pwb1p): has type Musical Recording
10. Newt Gingrich (fb:m.0w81t1v): The media weighs presidential nominees for 2016, Sonia Sotomayor...s, and Newt Gingrich admits he guessed wrong about the election., has type TV Episode

[Assistant] The entity for Newt Gingrich is fb:m.018fzs. Now I will search for properties related to "wife" or "spouse" for this entity to find the property that links Newt Gingrich to his wife.

[Tool]
Top 10 property alternatives:
1. Spouse (or domestic partner) (fb:people.person.spouse_s): links to type Marriage, part of Person schema
2. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
3. Image (fb:common.topic.image): part of Topic schema, links to type Image
4. Profession (fb:people.person.profession): links to type Profession, part of Person schema
5. Name (fb:type.object.name): part of Object schema, links to type Text
6. Gender (fb:people.person.gender): part of Person schema, links to type Gender
7. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
8. Party (fb:government.politician.party): links to type Political Party Tenure, part of Politician schema
9. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
10. Parents (fb:people.person.parents): part of Person schema, links to type Person

No other items found

[Assistant] The property "Spouse (or domestic partner)" with the identifier fb:people.person.spouse_s seems to be the correct property to find Newt Gingrich's wife. Now I will write a SPARQL query to get the spouse of Newt Gingrich using this property.

[Tool]
Got 3 rows and 2 columns:
| wife         | wifeName |
| ------------ | -------- |
| fb:m.0hybx80 |          |
| fb:m.0j1782r |          |
| fb:m.0j17836 |          |

[Assistant] The query returned three spouses for Newt Gingrich, but no names were retrieved for them. I will now try to get the names of these spouses by querying their names explicitly.

[Tool] Got no rows and 2 columns

[Assistant] The direct name property query did not return results for the spouses. I will try to get the rdfs:label for these spouse entities instead to see if that returns their names.

[Tool] Got no rows and 2 columns

[Assistant] Neither the direct name property nor rdfs:label returned names for the spouses. I will try to find other properties of these spouse entities to see if there is a property that contains their names or other identifying information. I will start with one spouse entity fb:m.0hybx80.

[Tool]
Got 8 rows and 3 columns:
| subject      | property                                                       | object                           |
| ------------ | -------------------------------------------------------------- | -------------------------------- |
| fb:m.0hybx80 | Type (fb:type.object.type)                                     | Marriage (fb:people.marriage)    |
| fb:m.0hybx80 | Has no value (fb:freebase.valuenotation.has_no_value)          | To (fb:m.01z0kt_)                |
| fb:m.0hybx80 | Spouse (fb:people.marriage.spouse)                             | Newt Gingrich (fb:m.018fzs)      |
| fb:m.0hybx80 | Type of union (fb:people.marriage.type_of_union)               | Marriage (fb:m.04ztj)            |
| fb:m.0hybx80 | From (fb:people.marriage.from)                                 | 2000-08-18 (xsd:date)            |
| fb:m.0hybx80 | Location of ceremony (fb:people.marriage.location_of_ceremony) | Alexandria (fb:m.013h9)          |
| fb:m.0hybx80 | rdf:type                                                       | Marriage (fb:people.marriage)    |
| fb:m.0hybx80 | Spouse (fb:people.marriage.spouse)                             | Callista Gingrich (fb:m.05znhhq) |

[Assistant] The entity fb:m.0hybx80 is a Marriage entity. It has a property "Spouse" (fb:people.marriage.spouse) that links to Newt Gingrich and another entity fb:m.05znhhq which seems to be the spouse Callista Gingrich. I will now try to get the name of this spouse entity fb:m.05znhhq.

[Tool]
Got 1 row and 1 column:
| name                   |
| ---------------------- |
| Callista Gingrich (en) |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly identifies Newt Gingrich's wives by retrieving the spouse entities linked to him and their names. However, the query returns multiple names, including previous wives, not just the current wife Callista Gingrich. The question asks specifically for Newt Gingrich's wife's name, which typically implies the current wife. To refine the query, it should filter or prioritize the current spouse, for example by checking marriage dates or the most recent marriage, if such data is available in the knowledge graph. Alternatively, the answer should clarify that multiple spouses are returned and specify which one is the current wife. This will improve the precision and clarity of the answer.

[Assistant] Thank you for the feedback. To refine the query, I will try to identify the current wife by checking the marriage dates or the most recent marriage if such data is available. I will look for the "from" and "to" dates of the marriages of Newt Gingrich and filter for the marriage that is currently active (no "to" date or the most recent one). Then I will return the name of the spouse in that marriage.

[Tool]
Got 1 row and 1 column:
| wifeName               |
| ---------------------- |
| Callista Gingrich (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the name of Newt Gingrich's current wife by selecting the spouse from the marriage relation where there is no end date (indicating the marriage is ongoing). The query returns the wife's name as 'Callista Gingrich', which matches the provided answer. The query uses appropriate properties and filters to exclude Newt Gingrich himself and to order by the marriage start date to get the most recent spouse. The output is correct and complete for the user's question.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?actor ?actorName WHERE {
  fb:m.02ql50 fb:film.film_character.portrayed_in_films ?performance .
  ?performance fb:film.performance.actor ?actor .
  ?actor rdfs:label ?actorName .
  FILTER ( LANG( ?actorName ) = "en" )
}

Got 2 rows and 2 columns:
| actor                       | actorName         |
| --------------------------- | ----------------- |
| Alexa Vega (fb:m.02z7h0)    | Alexa Vega (en)   |
| Addisyn Fair (fb:m.0zfn9cs) | Addisyn Fair (en) |

The actor who played Carmen Cortez in the Spy Kids films is Alexa Vega, who is the primary actress known for this role in the original Spy Kids film series.

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

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

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

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

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

[User] who played carmen cortez in spy kids?

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

[Tool]
Example 1:
Question:
what does the name austin stand for?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0vzm ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0vzm fb:symbols.namesake.named_after ?x .
}

Using entities:
Austin, also known as Austin, Texas, Austin, TX, Williamson County / Austin city (fb:m.0vzm): Austin is the capital of the US state of Texas and the seat of T...blic's new capital and was incorporated under the name Waterloo., has type City/Town/Village

Using properties:
Named after (fb:symbols.namesake.named_after): links to type Name source, part of Namesake schema

Example 2:
Question:
who was judy garland married to?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0g10g ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0g10g fb:people.person.spouse_s ?y .
  ?y fb:people.marriage.spouse ?x .
  ?y fb:people.marriage.type_of_union fb:m.04ztj .
}

Using entities:
Marriage, also known as Matrimony, Wedlock (fb:m.04ztj): Marriage, also called matrimony or wedlock, is a socially or rit...of concerns for women's rights and because of international law., has type Religious Practice
Judy Garland, also known as The Garland Sisters, Miss Show Business, Marie Gumm, Judy, Joots (fb:m.0g10g): Judy Garland was an American singer, actress, and vaudevillian. ...urn to acting, beginning with critically acclaimed performances., has type Musical Artist

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

Example 3:
Question:
what style of art does andy warhol do?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0kc6 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0kc6 fb:visual_art.visual_artist.associated_periods_or_movements ?x .
}

Using entities:
Andy Warhol, also known as Andrew Varchola, Drella, Andrew Warhola, Jr., Andrew Warhola, Andrew Varchola, Jr. (fb:m.0kc6): Andy Warhol was an American artist who was a leading figure in t...man who lived openly as such before the gay liberation movement., has type Visual Artist

Using properties:
Associated periods or movements (fb:visual_art.visual_artist.associated_periods_or_movements): links to type Art Period/Movement, part of Visual Artist schema

[Assistant]
To answer the question "who played Carmen Cortez in Spy Kids?", I need to identify the entity for the character "Carmen Cortez" and the entity for the movie "Spy Kids". Then I need to find the property that links the character to the actor who played them.

Step 1: Search for the entity "Carmen Cortez" in freebase.
Step 2: Search for the entity "Spy Kids" in freebase.
Step 3: Search for properties related to the character "Carmen Cortez" or the movie "Spy Kids" that might indicate the actor who played the character.

I will start with step 1 and search for the entity "Carmen Cortez".

[Tool]
Top 10 entity alternatives:
1. Baby Carmen, also known as Carmen Cortez (fb:m.02ql50): Carmen Elizabeth Juanita Costa Brava Cortez is a fictional chara...had kept that knowledge to himself on her mother's instructions., has type Film character
2. Carmen (fb:m.09g6g): Carmen is an opera in four acts by the French composer Georges B... were critical, and the French public was generally indifferent., has type Opera
3. Cortez, also known as Montezuma County / Cortez city, Cortez, Colorado (fb:m.0rc25): The City of Cortez is a Home Rule Municipality that is the count... The city population was 8,482 at the 2010 United States Census., has type City/Town/Village
4. Carmen Ejogo, also known as Carmen, Carmen Elizabeth Ejogo (fb:m.07fnrq): Carmen Elizabeth Ejogo is a British actress and singer. She bega...e met with King and was given King's blessing for her portrayal., has type Film actor
5. Carmen, also known as Bizet's Carmen (fb:m.08tbx6): Carmen is a film directed by Francesco Rosi. It is a film versio...ngs, and shot scenes in some of the exact places that Doré drew., has type Award-Winning Work
6. Carmen, also known as Carlos Saura Dance Trilogy, Part 1: Carmen (fb:m.02pwmj7): Carmen is a 1983 Spanish film adaptation of the novel Carmen by ...sonal lives Bizet's tragic love affair, up to its lethal climax., has type Award-Winning Work
7. Carmen, also known as Alfalfa County / Carmen town, Carmen, Oklahoma (fb:m.0z3_c): Carmen is a town in Alfalfa County, Oklahoma, United States. The population was 355 at the 2010 census., has type City/Town/Village
8. Risë Stevens, also known as Rise Stevens, Risë Steenberg, Risë Gus Steenberg, Carmen (fb:m.0953c4): Risë Stevens was an American operatic mezzo-soprano., has type Musical Artist
9. Carmen, also known as Carmen (London Symphony Orchestra feat. conductor: Claudio Abbado) (fb:m.03_dwxc): has type Consumer product
10. Carmen, also known as Carmen - Cyc - (fb:m.067_f8b): Carmen is a novella by Prosper Mérimée, written and first publis... of dramatic works, including the famous opera by Georges Bizet., has type Book

[Assistant]
The entity "Baby Carmen" (fb:m.02ql50) is identified as Carmen Cortez, a fictional character. This matches the character we are interested in.

Next, I will search for the entity "Spy Kids" in freebase.

[Tool]
Top 10 entity alternatives:
1. Spy Kids (fb:m.02rrfzf): Spy Kids is a 2001 American science fantasy family adventure fil...me a commercial success by grossing over $147 million worldwide., has type Award-Winning Work
2. Spy Kids (fb:m.01bn5b): The Spy Kids series consists of four American/Spanish family act...ong Hispanic heritage theme, as Rodriguez is of Mexican descent., has type Film series
3. Spy Kids (fb:m.030b0nq): has type Musical Release
4. Spy Kids, also known as Spy Kids Soundtrack (fb:m.01fq2m3): has type Soundtrack
5. Spy Kids (fb:m.07kxdbt): has type TV Episode
6. Spy Kids (fb:m.0h0s_m7): has type Fictional Character
7. Spy Kids (fb:m.08vs6c3)
8. Spy Kids (fb:m.08w6pz1)
9. Spy Kids (fb:m.08wbq60)
10. SPY KIDS (fb:m.08w7t7r)

[Assistant]
The entity "Spy Kids" (fb:m.02rrfzf) is identified as a 2001 American science fantasy family adventure film, which matches the movie we are interested in.

Next, I will search for properties related to the character "Carmen Cortez" (fb:m.02ql50) that might indicate the actor who played the character.

[Tool]
Top 10 property alternatives:
1. Portrayed in films (fb:film.film_character.portrayed_in_films): links to type Film performance, part of Film character schema
2. Name (fb:type.object.name): part of Object schema, links to type Text
3. Programs in which this was a regular character (fb:tv.tv_character.appeared_in_tv_program): links to type TV Regular Performance, part of TV Character schema
4. Key (fb:type.object.key): part of Object schema, links to type Key
5. Type (fb:type.object.type): part of Object schema, links to type Type
6. Gender (fb:fictional_universe.fictional_character.gender): part of Fictional Character schema, links to type Character Gender
7. Notable for (fb:common.topic.notable_for): links to type notable_for, part of Topic schema
8. Also known as (fb:common.topic.alias): part of Topic schema, links to type Text

No other items found

[Assistant]
The property "Portrayed in films" (fb:film.film_character.portrayed_in_films) is related to the character "Carmen Cortez" and links to film performances. This might help us find the actor who portrayed the character.

Next, I will explore the objects of the property "Portrayed in films" for the character "Carmen Cortez" to see if it includes information about the actor.

[Tool]
Got 5 rows and 3 columns:
| subject                   | property                                                       | object       |
| ------------------------- | -------------------------------------------------------------- | ------------ |
| Baby Carmen (fb:m.02ql50) | Portrayed in films (fb:film.film_character.portrayed_in_films) | fb:m.02s9tsc |
| Baby Carmen (fb:m.02ql50) | Portrayed in films (fb:film.film_character.portrayed_in_films) | fb:m.02s9tx3 |
| Baby Carmen (fb:m.02ql50) | Portrayed in films (fb:film.film_character.portrayed_in_films) | fb:m.02s9tz1 |
| Baby Carmen (fb:m.02ql50) | Portrayed in films (fb:film.film_character.portrayed_in_films) | fb:m.0g5ddb0 |
| Baby Carmen (fb:m.02ql50) | Portrayed in films (fb:film.film_character.portrayed_in_films) | fb:m.0zfn9cq |

[Assistant]
The character "Carmen Cortez" (fb:m.02ql50) is portrayed in several films: fb:m.02s9tsc, fb:m.02s9tx3, fb:m.02s9tz1, fb:m.0g5ddb0, and fb:m.0zfn9cq.

Next, I will check the properties of one of these film performances (e.g., fb:m.02s9tsc) to find the actor who played Carmen Cortez. I will search for properties related to "actor" or "performer" for this film performance.

[Tool]
Top 10 property alternatives:
1. Actor (fb:film.performance.actor): part of Film performance schema, links to type Film actor
2. Character (fb:film.performance.character): part of Film performance schema, links to type Film character
3. Film (fb:film.performance.film): part of Film performance schema, links to type Film
4. Type (fb:type.object.type): part of Object schema, links to type Type

No other items found

[Assistant]
The property "Actor" (fb:film.performance.actor) is related to the film performance fb:m.02s9tsc and links to the film actor.

Next, I will list the objects of the property "Actor" for the film performance fb:m.02s9tsc to find the actor who played Carmen Cortez in that film.

[Tool]
Got 1 row and 3 columns:
| subject      | property                          | object                   |
| ------------ | --------------------------------- | ------------------------ |
| fb:m.02s9tsc | Actor (fb:film.performance.actor) | Alexa Vega (fb:m.02z7h0) |

[Assistant]
The actor who played Carmen Cortez in the film performance fb:m.02s9tsc is Alexa Vega (fb:m.02z7h0).

I will now construct a SPARQL query to retrieve the actor who played Carmen Cortez in Spy Kids.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly retrieves actors who portrayed the character Carmen Cortez, returning both Alexa Vega and Addisyn Fair. However, the question specifically asks for the actor who played Carmen Cortez in Spy Kids, which is Alexa Vega. The query should be refined to ensure it only returns actors from the Spy Kids film(s), excluding other portrayals such as in sequels or different adaptations if applicable. Additionally, the answer should clarify that Alexa Vega is the primary actress known for this role in the original Spy Kids film series.

[Assistant]
Thank you for the feedback. To refine the query, I will add a condition to ensure that the film performance is linked to the movie "Spy Kids" (fb:m.02rrfzf) or its sequels in the Spy Kids film series. This will restrict the results to actors who played Carmen Cortez specifically in the Spy Kids films.

I will now refine the SPARQL query accordingly.

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The SPARQL query did not return any results, indicating it failed to find the actor who played Carmen Cortez in Spy Kids. The query attempts to find performances of the character and then the actors, but it seems the character entity or the series filtering might be incorrect or too restrictive. The entity used (fb:m.02ql50) might not correspond exactly to Carmen Cortez or the series name filter might not match the labels in the knowledge graph. I suggest verifying the correct entity for Carmen Cortez and simplifying or adjusting the series filter. Also, consider directly querying for the actor linked to the character without filtering by series if the character is unique. Additionally, ensure the query returns the actor's identifier as required. The answer given (Alexa Vega) is correct, but the query must be fixed to retrieve this from the knowledge graph.

[Assistant]
Thank you for the feedback. I will simplify the query by directly querying the actor who portrayed Carmen Cortez without filtering by series. Since the character Carmen Cortez is unique, this should be sufficient to get the correct actor. I will also ensure the actor's identifier is returned as required.

I will now refine the SPARQL query accordingly.

[Tool]
Got 2 rows and 2 columns:
| actor                       | actorName         |
| --------------------------- | ----------------- |
| Alexa Vega (fb:m.02z7h0)    | Alexa Vega (en)   |
| Addisyn Fair (fb:m.0zfn9cs) | Addisyn Fair (en) |

[Assistant]
The query returned two actors who portrayed Carmen Cortez: Alexa Vega and Addisyn Fair. Alexa Vega is the primary actress known for this role in the original Spy Kids films.

I will now provide the final answer with the correct SPARQL query.

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?formOfGovernment ?formOfGovernmentLabel WHERE {
  fb:m.09c7w0 fb:location.country.form_of_government ?formOfGovernment .
  OPTIONAL {
    ?formOfGovernment rdfs:label ?formOfGovernmentLabel .
    FILTER ( lang( ?formOfGovernmentLabel ) = "en" )
  }
}

Got 3 rows and 2 columns:
| formOfGovernment                      | formOfGovernmentLabel        |
| ------------------------------------- | ---------------------------- |
| Presidential system (fb:m.01d9r3)     | Presidential system (en)     |
| Constitutional republic (fb:m.0c9rw5) | Constitutional republic (en) |
| Federal republic (fb:m.0j729)         | Federal republic (en)        |

The United States has three types of government forms: Presidential system, Constitutional republic, and Federal 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 type of democracy is the united states?

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

[Tool]
Example 1:
Question:
what is fresno state's zip code?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0mzy7 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0mzy7 fb:location.citytown.postal_codes ?x .
}

Using entities:
Fresno, also known as Fresno, California, Fresno County / Fresno city (fb:m.0mzy7): Fresno, the county seat of Fresno County, is a city in the U.S. ...ree' in Spanish, and an ash leaf is featured on the city's flag., has type City/Town/Village

Using properties:
Postal codes (fb:location.citytown.postal_codes): part of City/Town/Village schema, links to type Postal Code

Example 2:
Question:
where is san miguel mexico on map?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.056201 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.056201 fb:location.location.containedby ?x .
  ?x fb:common.topic.notable_types fb:m.02_3pws .
}

Using entities:
Mexican state (fb:m.02_3pws): A state is a first-level administrative division of Mexico.
San Miguel de Allende, also known as San Miguel de Allende, Guanajuato, San Miguel de Allende, Mexico (fb:m.056201): San Miguel de Allende is a city and municipality located in the .... soldiers studying on the G.I. Bill after the Second World War., has type City/Town/Village

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Contained by (fb:location.location.containedby): part of Location schema, links to type Location

Example 3:
Question:
who is the state senator of kentucky?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0498y ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0498y fb:government.political_district.representatives ?y .
  ?y fb:government.government_position_held.office_holder ?x .
  ?y fb:government.government_position_held.office_position_or_title fb:m.02_7l8y .
}

Using entities:
United States Senator, also known as U.S. Senator (fb:m.02_7l8y): has type Government Office or Title
Kentucky, also known as Bluegrass State, kentucky, usa, KY (fb:m.0498y): Kentucky /kɨnˈtʌki/, officially the Commonwealth of Kentucky, is...e Mississippi River, and the nation's most productive coalfield., has type US State

Using properties:
Officeholder (fb:government.government_position_held.office_holder): part of Government Position Held schema, links to type Politician
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
Representatives (fb:government.political_district.representatives): links to type Government Position Held, part of Political District schema

[Assistant] The examples found do not directly relate to the type of democracy of the United States. I will now search for the entity "United States" in the knowledge graph to find its identifier and then look for properties related to its government or political system.

[Tool]
Top 10 entity alternatives:
1. United States of America, also known as U.S. of A., USA, U.S.A., US, U.S. (fb:m.09c7w0): The United States of America, commonly referred to as the United...s emerged from 13 British colonies located along the East Coast., has type Country
2. Federal government of the United States, also known as American Government, US Government, U.S. government, US Federal government, United States government (fb:m.01bqks): The government of the United States of America is the federal go...ften used, and the term "National Government" is sometimes used., has type Organization founder
3. United States (fb:m.0dvxqk): United States is a half-hour comedy-drama that NBC added to its ... Bob can go out and get yourselves one redhead with two straws.", has type TV Program
4. United States (fb:m.0dmmqxb): has type Musical Recording
5. United States (fb:m.0829w2d): has type Book Edition
6. United States... (fb:m.03987_d): has type Musical Release
7. United States (fb:m.0qhhg_4): has type Consumer product
8. United States (fb:m.05q8l00): United States is the first full length hard rock collaborative a...oration has been described as a cross between Queen and Mr. Big., has type Musical Album
9. United States (fb:m.0qhgg6l): has type Consumer product
10. United States (fb:m.011kfnhv): has type Musical Release

[Assistant] The entity "United States of America" with the identifier fb:m.09c7w0 is the correct entity for the country. Now I will search for properties related to the government or political system of this entity.

[Tool]
Top 10 property alternatives:
1. Government (fb:government.governmental_jurisdiction.government): part of Governmental Jurisdiction schema, links to type Government
2. Government bodies (fb:government.governmental_jurisdiction.government_bodies): part of Governmental Jurisdiction schema, links to type Governmental Body
3. Form of Government (fb:location.country.form_of_government): links to type Form of Government, part of Country schema
4. Government positions (fb:government.governmental_jurisdiction.government_positions): links to type Government Office or Title, part of Governmental Jurisdiction schema
5. Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held
6. Agencies (fb:government.governmental_jurisdiction.agencies): part of Governmental Jurisdiction schema, links to type Government Agency
7. Administrative Divisions (fb:location.country.administrative_divisions): links to type Administrative Division, part of Country schema
8. President (fb:user.exooo.default_domain.head_of_state.president): links to type Employment tenure, part of Head of state schema
9. Courts (fb:law.court_jurisdiction_area.courts): part of Court jurisdiction area schema, links to type Court
10. Official website (fb:common.topic.official_website): part of Topic schema, links to type URI

No other items found

[Assistant] The property "Form of Government" (fb:location.country.form_of_government) seems to be the most relevant to answer the question about the type of democracy of the United States. I will now query the form of government of the United States of America using this property.

[Tool]
Got 3 rows and 2 columns:
| formOfGovernment                      | formOfGovernmentLabel        |
| ------------------------------------- | ---------------------------- |
| Presidential system (fb:m.01d9r3)     | Presidential system (en)     |
| Constitutional republic (fb:m.0c9rw5) | Constitutional republic (en) |
| Federal republic (fb:m.0j729)         | Federal republic (en)        |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the types of government forms of the United States from the knowledge graph. The answer is accurate and complete, listing the three types: Presidential system, Constitutional republic, and Federal republic. The query also optionally retrieves English labels for better readability. No further refinement is necessary.