PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?person ?personLabel WHERE {
  fb:m.0bwfn fb:organization.organization.founders ?person .
  ?person fb:government.politician.government_positions_held ?position .
  ?position fb:government.government_position_held.from ?from .
  FILTER ( ?from < "1795-03-04" ^^ xsd:date ) OPTIONAL {
    ?person rdfs:label ?personLabel .
    FILTER ( lang( ?personLabel ) = "en" )
  }
}

The governmental officer prior to 3-4-1795 who founded New York University is Albert Gallatin.

[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 the governmental officer prior to 3-4-1795 and founded New York University?

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

[Tool]
Example 1:
Question:
Which man was in his governmental post since 1795-03-04 and was President Andrew Jackson's Secretary of State?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0rlz ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0rlz fb:government.political_appointer.appointees ?y .
  ?y fb:government.government_position_held.office_holder ?x .
  ?y fb:government.government_position_held.basic_title fb:m.0789n .
  ?x fb:government.politician.government_positions_held ?c .
  ?c fb:government.government_position_held.from "1795-03-04" ^^ xsd:dateTime .
}

Using entities:
Secretary of State (fb:m.0789n): Secretary of State or State Secretary is a commonly used title f... most senior political appointee responsible for foreign policy., has type Appointed Role
Andrew Jackson, also known as Old Hickory, The Hero of New Orleans, King Mob (fb:m.0rlz): Andrew Jackson was the seventh President of the United States. H...hen sent to Florida where he deposed the small Spanish garrison., has type US President

Using properties:
Basic title (fb:government.government_position_held.basic_title): links to type Government office category, part of Government Position Held schema
From (fb:government.government_position_held.from): part of Government Position Held schema, links to type Date/Time
Officeholder (fb:government.government_position_held.office_holder): part of Government Position Held schema, links to type Politician
Appointees (fb:government.political_appointer.appointees): links to type Government Position Held, part of Political Appointer schema
Government Positions Held (fb:government.politician.government_positions_held): links to type Government Position Held, part of Politician schema

Example 2:
Question:
What school did the government official appointed by the Continental Congress go to?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:government.politician.government_positions_held ?k .
  ?k fb:government.government_position_held.appointed_by fb:m.09k5k .
  ?c fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
}

Using entities:
Continental Congress (fb:m.09k5k): The Continental Congress was a convention of delegates called to...gress of the Confederation, under the Articles of Confederation., has type Political Appointer

Using properties:
Institution (fb:education.education.institution): links to type Educational Institution, part of Education schema
Appointed By (if Position is Appointed) (fb:government.government_position_held.appointed_by): part of Government Position Held schema, links to type Political Appointer
Government Positions Held (fb:government.politician.government_positions_held): links to type Government Position Held, part of Politician schema
Education (fb:people.person.education): links to type Education, part of Person schema

Example 3:
Question:
The politician appointed by the Continental Congress was educated where?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:government.politician.government_positions_held ?k .
  ?k fb:government.government_position_held.appointed_by fb:m.09k5k .
  ?c fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
}

Using entities:
Continental Congress (fb:m.09k5k): The Continental Congress was a convention of delegates called to...gress of the Confederation, under the Articles of Confederation., has type Political Appointer

Using properties:
Institution (fb:education.education.institution): links to type Educational Institution, part of Education schema
Appointed By (if Position is Appointed) (fb:government.government_position_held.appointed_by): part of Government Position Held schema, links to type Political Appointer
Government Positions Held (fb:government.politician.government_positions_held): links to type Government Position Held, part of Politician schema
Education (fb:people.person.education): links to type Education, part of Person schema

[Assistant]
From the examples, it seems the relevant properties for government positions include:
- fb:government.government_position_held.from (to specify the start date of the position)
- fb:government.government_position_held.office_holder (to specify the person holding the position)
- fb:government.politician.government_positions_held (to link a politician to their government positions)

We also need to find the person who founded New York University. Let's first search for the entity "New York University" in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. New York University, also known as New York University, main campus, New York University, New York City, NYU (fb:m.0bwfn): New York University is a private, nonsectarian American research...eering members among its past and present graduates and faculty., has type College/University
2. New York University (fb:m.05wgs8x): has type Author
3. New York University Press (fb:m.02pnxch): New York University Press is a university press that is part of New York University., has type Publisher
4. University Gardens, also known as University Gardens, New York, Nassau County / University Gardens CDP (fb:m.0y3ct): University Gardens is a hamlet and census-designated place and p... a community in the western part of the Town of North Hempstead., has type US Census Designated Place
5. New York University Shanghai (fb:m.0j9n5bd): New York University Shanghai is jointly established by New York ...ependent registration status from China's Ministry of Education., has type College/University
6. NYU Violets, also known as New York University Violets (fb:m.02r119s): NYU Violets is the nickname of the sports teams and other compet... 23 varsity sports, as well as intramural sports and club teams.
7. University Heights, also known as University Heights, Bronx, University Heights, New York, University Heights, The Bronx (fb:m.07sxvt): University Heights is a neighborhood of the West Bronx in New Yo...perating along Jerome Avenue. ZIP codes include 10453 and 10468., has type Neighborhood
8. Syracuse University, New York (fb:m.06w_wr_): The Limeliters: ""There's A Meetin' Here Tonight,"" ""Wabash Can...me in the Room""   FINALE: ""Down By the Riverside"" (Everyone)., has type TV Episode
9. New York University Skopje (fb:m.0cpdy3h): has type College/University
10. New York University Archives (fb:m.0fp_hjn): The New York University Archives has served, since 1977, as the ...ional papers of New York University faculty; Special Collections

[Assistant] The entity for New York University is fb:m.0bwfn. Now, I will search for the founder or founding related properties of this entity.

[Tool]
Top 10 property alternatives:
1. Founders (fb:organization.organization.founders): links to type Organization founder, part of Organization schema
2. Date founded (fb:organization.organization.date_founded): part of Organization schema, links to type Date/Time
3. Member of (fb:organization.organization_member.member_of): links to type Organization membership, part of Organization member schema
4. Name (fb:type.object.name): part of Object schema, links to type Text
5. Leadership (fb:organization.organization.leadership): links to type Organization leadership, part of Organization schema
6. Board members (fb:organization.organization.board_members): links to type Organization governorship, part of Organization schema
7. Registered with (fb:organization.non_profit_organization.registered_with): links to type Non-profit registration, part of Nonprofit organization schema
8. Endowment (fb:organization.endowed_organization.endowment): part of Endowed Organization schema, links to type Dated Money Value
9. Headquarters (fb:organization.organization.headquarters): part of Organization schema, links to type Address
10. Type (fb:type.object.type): part of Object schema, links to type Type

No other items found

[Assistant] The property for founders of New York University is fb:organization.organization.founders. Next, I will search for the founders of New York University using this property.

[Tool]
Got 2 rows and 1 column:
| founder                            |
| ---------------------------------- |
| Albert Gallatin (fb:m.01p369)      |
| Mordecai Manuel Noah (fb:m.05m665) |

[Assistant] The founders of New York University are Albert Gallatin and Mordecai Manuel Noah. Now, I will check if either of them held a governmental office prior to 3-4-1795. I will start by checking Albert Gallatin's government positions.

[Tool]
Got 1 row and 2 columns:
| position     | from                  |
| ------------ | --------------------- |
| fb:m.09rfklv | 1793-12-02 (xsd:date) |

[Assistant] Albert Gallatin held a government position starting from 1793-12-02, which is prior to 1795-03-04. Now, I will check the details of this government position to confirm it is a governmental officer position.

[Tool]
Got 1 row and 1 column:
| title                  |
| ---------------------- |
| Senator (fb:m.048zv9l) |

[Assistant] Albert Gallatin held the position of Senator starting from 1793-12-02, which is prior to 1795-03-04. He is also one of the founders of New York University. This answers the question. I will now provide the final answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies Albert Gallatin as a founder of New York University who held a government position prior to March 4, 1795. The query uses appropriate properties to link the university to its founders and filters government positions by their start date. The answer is accurate and complete based on the query results. No further refinement is necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?country ?countryLabel WHERE {
  ?country fb:location.country.second_level_divisions fb:m.01_yjb .
  ?country fb:location.country.official_language fb:m.04306rv .
  OPTIONAL {
    ?country rdfs:label ?countryLabel .
    FILTER ( lang( ?countryLabel ) = 'en' )
  }
}

Got 1 row and 2 columns:
| country                  | countryLabel     |
| ------------------------ | ---------------- |
| Switzerland (fb:m.06mzp) | Switzerland (en) |

The country that includes the province of Waldenburg and speaks Germanic languages (specifically German) is Switzerland.

[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 country includes the province of Waldenburg and speaks Germanic languages?

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

[Tool]
Example 1:
Question:
What country that has a second level division Waldenburg speaks German officially?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.04306rv ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.04306rv fb:language.human_language.countries_spoken_in ?x .
  ?x fb:location.country.official_language fb:m.04306rv .
  ?x fb:location.country.second_level_divisions fb:m.01_yjb .
}

Using entities:
Waldenburg, also known as Waldenburg, Switzerland (fb:m.01_yjb): Waldenburg is a municipality in the canton of Basel-Country in Switzerland, and the capital of the district of the same name., has type Administrative Division
German Language, also known as Hochdeutsch, Tedesco, High German, German, Standard Language, German, Standard (fb:m.04306rv): German is a West Germanic language that derives most of its voca...alects or dialect groups are sometimes referred to as languages., has type Human Language

Using properties:
Spoken in countries (fb:language.human_language.countries_spoken_in): part of Human Language schema, links to type Country
Official Language (fb:location.country.official_language): links to type Human Language, part of Country schema
Second level divisions (fb:location.country.second_level_divisions): links to type Administrative Division, part of Country schema

Example 2:
Question:
What country near Italy has Waldenburg as a second level division?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03rjj ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03rjj fb:location.location.adjoin_s ?y .
  ?y fb:location.adjoining_relationship.adjoins ?x .
  ?x fb:common.topic.notable_types fb:m.01mp .
  ?x fb:location.country.second_level_divisions fb:m.01_yjb .
}

Using entities:
Waldenburg, also known as Waldenburg, Switzerland (fb:m.01_yjb): Waldenburg is a municipality in the canton of Basel-Country in Switzerland, and the capital of the district of the same name., has type Administrative Division
Country, also known as Empire (fb:m.01mp): The type country in Freebase can and should be used with a varie...s with little population or autonomy will be typed as a country.
Italy, also known as Italia, Italian Republic (fb:m.03rjj): Italy, officially the Italian Republic, is a unitary parliamenta...uch as Leonardo da Vinci, Galileo, Michelangelo and Machiavelli., has type Country

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Adjoins (fb:location.adjoining_relationship.adjoins): part of Adjoining Relationship schema, links to type Location
Second level divisions (fb:location.country.second_level_divisions): links to type Administrative Division, part of Country schema
Adjoins (fb:location.location.adjoin_s): links to type Adjoining Relationship, part of Location schema

Example 3:
Question:
What country is next to France, and also has Waldenburg as a second level devision?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0f8l9c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0f8l9c fb:location.location.adjoin_s ?y .
  ?y fb:location.adjoining_relationship.adjoins ?x .
  ?x fb:common.topic.notable_types fb:m.01mp .
  ?x fb:location.country.second_level_divisions fb:m.01_yjb .
}

Using entities:
Waldenburg, also known as Waldenburg, Switzerland (fb:m.01_yjb): Waldenburg is a municipality in the canton of Basel-Country in Switzerland, and the capital of the district of the same name., has type Administrative Division
Country, also known as Empire (fb:m.01mp): The type country in Freebase can and should be used with a varie...s with little population or autonomy will be typed as a country.
France, also known as French Republic, République française, l'Hexagone (fb:m.0f8l9c): France, officially the French Republic, is a sovereign state com...g and paving the way for a future centralized absolute monarchy., has type Country

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Adjoins (fb:location.adjoining_relationship.adjoins): part of Adjoining Relationship schema, links to type Location
Second level divisions (fb:location.country.second_level_divisions): links to type Administrative Division, part of Country schema
Adjoins (fb:location.location.adjoin_s): links to type Adjoining Relationship, part of Location schema

[Assistant]
From the examples, I see that the entity for Waldenburg is fb:m.01_yjb and the property for second level divisions of a country is fb:location.country.second_level_divisions. Also, the property for official language of a country is fb:location.country.official_language and the property for languages spoken in a country is fb:language.human_language.countries_spoken_in.

I will now search for the entity of the Germanic languages to use in the query.

[Tool]
Top 10 entity alternatives:
1. Germanic languages (fb:m.03489): The Germanic languages are a branch of the Indo-European languag...h 42 belong to the Western branch, and 6 to the Northern branch., has type Language Family
2. Germanic languages (fb:m.0bp95lx)
3. Germanic languages (fb:m.02915jr)
4. North Germanic languages, also known as nordic languages, Scandinavian languages (fb:m.0140kd): The North Germanic languages make up one of the three branches o...ern standard languages and the dialect continuum of Scandinavia., has type Language Family
5. West Germanic languages (fb:m.0140qt): The West Germanic languages constitute the largest of the three ...of the North Sea Germanic branch of the West Germanic languages., has type Language Family
6. East Germanic languages (fb:m.02dsbr): The East Germanic languages are a group of extinct Germanic lang...mean Gothic is believed to have survived until the 18th century., has type Language Family
7. The Germanic languages (fb:m.0c940vz): has type Book Edition
8. The Germanic languages (fb:m.06knt_j): has type Book
9. The Germanic languages (fb:m.0c3tyc9): has type Book
10. Europe germanic languages (fb:m.02b_hb6)

[Assistant]
I found multiple entities for Germanic languages. The most relevant one seems to be "Germanic languages" with the entity fb:m.03489, which is a language family.

I will now construct a SPARQL query to find the country that includes the province of Waldenburg (fb:m.01_yjb) and speaks Germanic languages (fb:m.03489). I will check both official language and spoken language properties for the country.

[Tool] Got no rows and 2 columns

[Assistant] The query returned no results, which means there might not be a direct link between the Germanic languages entity (fb:m.03489) and the countries that have Waldenburg as a second-level division. I will try to find if there is a more specific language entity related to German spoken in that region or if the country has a more specific official language entity related to German. I will first check the official languages of the country that has Waldenburg as a second-level division.

[Tool]
Got 4 rows and 2 columns:
| language                        | languageLabel         |
| ------------------------------- | --------------------- |
| Italian Language (fb:m.02bjrlw) | Italian Language (en) |
| German Language (fb:m.04306rv)  | German Language (en)  |
| French (fb:m.064_8sq)           | French (en)           |
| Romansh language (fb:m.06ctk)   | Romansh language (en) |

[Assistant]
The country that includes the province of Waldenburg has several official languages including German Language (fb:m.04306rv).

I will now find the country that has Waldenburg as a second-level division and has German Language (fb:m.04306rv) as an official language.

[Tool]
Got 1 row and 2 columns:
| country                  | countryLabel     |
| ------------------------ | ---------------- |
| Switzerland (fb:m.06mzp) | Switzerland (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies Switzerland as the country that includes the province of Waldenburg and has German as an official language. The query uses appropriate properties to link the country to its second-level divisions and official languages, and the result matches the expected answer. The query also optionally retrieves the English label of the country, which is helpful for readability. Overall, the answer is correct and complete.


Dave Freudenthal is not a District representative; he served as the Governor of Wyoming. Therefore, there is no state where Dave Freudenthal is a District representative, and the question cannot be answered as stated.

[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 the governor of the state where Dave Freudenthal is a District representative?

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

[Tool]
Example 1:
Question:
Who's the new governor of the location, that appointed Rick Scott to a governmental position in 2011?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:government.governmental_jurisdiction.governing_officials ?k .
  ?k fb:government.government_position_held.appointed_by fb:m.0btx2g .
  ?c fb:government.governmental_jurisdiction.governing_officials ?y .
  ?y fb:government.government_position_held.office_holder ?x .
  ?y fb:government.government_position_held.basic_title fb:m.0fkvn .
  FILTER ( NOT EXISTS {
    ?y fb:government.government_position_held.from ?sk0
  }
  || EXISTS {
    ?y fb:government.government_position_held.from ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) <= "2011-12-31" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:government.government_position_held.to ?sk2
  }
  || EXISTS {
    ?y fb:government.government_position_held.to ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) >= "2011-01-01" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:government.government_position_held.from ?sk4
  }
  || EXISTS {
    ?y fb:government.government_position_held.from ?sk5 .
    FILTER ( xsd:datetime ( ?sk5 ) <= "2011-12-31" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:government.government_position_held.to ?sk6
  }
  || EXISTS {
    ?y fb:government.government_position_held.to ?sk7 .
    FILTER ( xsd:datetime ( ?sk7 ) >= "2011-01-01" ^^ xsd:dateTime )
  }
  ) ?y fb:government.government_position_held.from ?sk8 .
}
ORDER BY DESC ( xsd:datetime ( ?sk8 ) )
LIMIT 1

Using entities:
Rick Scott, also known as Richard L Scott, Richard Lynn Scott (fb:m.0btx2g): Richard "Rick" Lynn Scott is an American businessman and politic...against him personally. Scott later became a venture capitalist., has type Politician
Governor (fb:m.0fkvn): A governor is, in most cases, a public official with the power t...ub-national units include Mexico, United States and Switzerland., has type Government office category

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
Basic title (fb:government.government_position_held.basic_title): links to type Government office category, part of Government Position Held schema
From (fb:government.government_position_held.from): part of Government Position Held schema, links to type Date/Time
Officeholder (fb:government.government_position_held.office_holder): part of Government Position Held schema, links to type Politician
To (fb:government.government_position_held.to): part of Government Position Held schema, links to type Date/Time
Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held

Example 2:
Question:
Where is the hometown of the politician that was appointed by Malcom Fraiser?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:government.politician.government_positions_held ?k .
  ?k fb:government.government_position_held.appointed_by fb:m.04zv_ .
  ?c fb:people.person.places_lived ?y .
  ?y fb:people.place_lived.location ?x .
}

Using entities:
Malcolm Fraser, also known as John Malcolm Fraser (fb:m.04zv_): John Malcolm Fraser AC, CH, GCL was an Australian politician who...st Liberal Party Prime Minister to practise Keynesian economics., has type Politician

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
Government Positions Held (fb:government.politician.government_positions_held): links to type Government Position Held, part of Politician schema
Places lived (fb:people.person.places_lived): links to type Place lived, part of Person schema
Location (fb:people.place_lived.location): part of Place lived schema, links to type Location

Example 3:
Question:
Who is the current governor of the entity for which Fuller Warren held an office in 2011?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:government.governmental_jurisdiction.governing_officials ?k .
  ?k fb:government.government_position_held.office_holder fb:m.04bqwy .
  ?c fb:government.governmental_jurisdiction.governing_officials ?y .
  ?y fb:government.government_position_held.office_holder ?x .
  ?y fb:government.government_position_held.basic_title fb:m.0fkvn .
  FILTER ( NOT EXISTS {
    ?y fb:government.government_position_held.from ?sk0
  }
  || EXISTS {
    ?y fb:government.government_position_held.from ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) <= "2011-12-31" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:government.government_position_held.to ?sk2
  }
  || EXISTS {
    ?y fb:government.government_position_held.to ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) >= "2011-01-01" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:government.government_position_held.from ?sk4
  }
  || EXISTS {
    ?y fb:government.government_position_held.from ?sk5 .
    FILTER ( xsd:datetime ( ?sk5 ) <= "2011-12-31" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:government.government_position_held.to ?sk6
  }
  || EXISTS {
    ?y fb:government.government_position_held.to ?sk7 .
    FILTER ( xsd:datetime ( ?sk7 ) >= "2011-01-01" ^^ xsd:dateTime )
  }
  ) ?y fb:government.government_position_held.from ?sk8 .
}
ORDER BY DESC ( xsd:datetime ( ?sk8 ) )
LIMIT 1

Using entities:
Fuller Warren (fb:m.04bqwy): Fuller Warren was an American attorney and politician, elected as the 30th Governor of Florida., has type Politician
Governor (fb:m.0fkvn): A governor is, in most cases, a public official with the power t...ub-national units include Mexico, United States and Switzerland., has type Government office category

Using properties:
Basic title (fb:government.government_position_held.basic_title): links to type Government office category, part of Government Position Held schema
From (fb:government.government_position_held.from): part of Government Position Held schema, links to type Date/Time
Officeholder (fb:government.government_position_held.office_holder): part of Government Position Held schema, links to type Politician
To (fb:government.government_position_held.to): part of Government Position Held schema, links to type Date/Time
Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held

[Assistant]
From the similar examples, I see that the query involves identifying the state where Dave Freudenthal is a District representative and then finding the governor of that state. The key steps are:
1. Find the entity for Dave Freudenthal.
2. Find the state or governmental jurisdiction where he holds a district representative position.
3. Find the governor of that state.

I will start by searching for the entity "Dave Freudenthal" in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Dave Freudenthal (fb:m.026f66): David Duane "Dave" Freudenthal is an American politician who served as the 31st Governor of Wyoming from 2003 to 2011., has type Politician
2. Dave Freudenthal (fb:m.02cr85s)
3. Dave Freudenthal speech (fb:m.089w0j2)
4. David Beckham, also known as DB7, Posh 'n' Becks, Golden Balls, Posh and Becks, Posh & Becks (fb:m.02d9k): David Robert Joseph Beckham, OBE is an English former profession...irst British footballer to play 100 UEFA Champions League games., has type Celebrity
5. David Letterman, also known as David Michael Letterman, Letterman, Earl Hofert, The Big Man, Dave (fb:m.029_3): David Michael Letterman is an American former television host, c... of which was Everybody Loves Raymond, currently in syndication., David Letterman is an American Television Host and Comedian. He ... known for hosting his own show: Late Show with David Letterman., has type Celebrity
6. David Duchovny, also known as David William Duchovny, Dave (fb:m.0blt6): David William Duchovny is an American actor, writer, producer, d...iversity and an M.A. in English Literature from Yale University., has type Celebrity
7. David Boreanaz, also known as Da, Dave, david_boreanaz, David Patrick Boreanaz, David Paul Boreanaz (fb:m.01507p): David Boreanaz is an American actor, television producer, and di... Special Agent Seeley Booth on the television crime drama Bones., has type TV Actor
8. David Henrie, also known as David Clayton Henrie, Dave Henrie, Dave (fb:m.0dxmyh): David Clayton Henrie is an American actor, television writer, di... on That's So Raven along with Rudy Ising in Walt Before Mickey., has type Celebrity
9. César Azpilicueta, also known as Cesar Azpilicueta, César Azpilicueta Tanco, Dave (fb:m.03qhcnp): César Azpilicueta Tanco is a Spanish professional footballer who... full side, and was selected for the following year's World Cup., has type Football player
10. David Bryan, also known as Dave, David Rashbaum, David Bryan Rashbaum (fb:m.02s1kf): David Bryan Rashbaum, best known as just David Bryan, is the key...ls. He is the writer of the successful Broadway musical Memphis., has type Composer

[Assistant] The entity "Dave Freudenthal" is identified as fb:m.026f66, an American politician who served as the 31st Governor of Wyoming. Next, I need to find the state where Dave Freudenthal is a District representative. Since he is a politician, I will look for the government positions he held to find the district representative position and the associated state.

[Tool]
Got 1 row and 3 columns:
| subject                        | property                                                                       | object       |
| ------------------------------ | ------------------------------------------------------------------------------ | ------------ |
| Dave Freudenthal (fb:m.026f66) | Government Positions Held (fb:government.politician.government_positions_held) | fb:m.04js2b6 |

[Assistant] Dave Freudenthal has held a government position identified by fb:m.04js2b6. I will now look into this government position to see if it corresponds to a District representative position and to find the associated state.

[Tool]
Got 8 rows and 3 columns:
| subject      | property                                                                                | object                                                            |
| ------------ | -------------------------------------------------------------------------------------------- | ----------------------------------------------------------------- |
| fb:m.04js2b6 | Type (fb:type.object.type)                                                                   | Government Position Held (fb:government.government_position_held) |
| fb:m.04js2b6 | Officeholder (fb:government.government_position_held.office_holder)                          | Dave Freudenthal (fb:m.026f66)                                    |
| fb:m.04js2b6 | From (fb:government.government_position_held.from)                                           | 2003-01-06 (xsd:date)                                             |
| fb:m.04js2b6 | Office, position, or title (fb:government.government_position_held.office_position_or_title) | Governor of Wyoming (fb:m.04js22_)                                |
| fb:m.04js2b6 | Basic title (fb:government.government_position_held.basic_title)                             | Governor (fb:m.0fkvn)                                             |
| fb:m.04js2b6 | Jurisdiction of office (fb:government.government_position_held.jurisdiction_of_office)       | Wyoming (fb:m.0846v)                                              |
| fb:m.04js2b6 | To (fb:government.government_position_held.to)                                               | 2011-01-03 (xsd:date)                                             |
| fb:m.04js2b6 | rdf:type                                                                                | Government Position Held (fb:government.government_position_held) |

[Assistant]
The government position held by Dave Freudenthal is Governor of Wyoming, not a District representative. The jurisdiction of this office is Wyoming. The question asks for the governor of the state where Dave Freudenthal is a District representative, but it seems he was a governor, not a district representative.

I will now verify if Dave Freudenthal has any other government positions related to being a District representative. I will search for other government positions held by him.

[Tool]
Got 1 row and 3 columns:
| subject                        | property                                                                       | object       |
| ------------------------------ | ------------------------------------------------------------------------------ | ------------ |
| Dave Freudenthal (fb:m.026f66) | Government Positions Held (fb:government.politician.government_positions_held) | fb:m.04js2b6 |

[Assistant]
Dave Freudenthal only has one government position held, which is Governor of Wyoming. There is no indication that he was a District representative.

Since the question asks for the governor of the state where Dave Freudenthal is a District representative, but he is actually a governor himself, I will answer with the governor of Wyoming during the time he was governor.

I will now find the governor of Wyoming during the time Dave Freudenthal was governor (2003-2011).

[Tool]
Got 1 row and 1 column:
| governor                       |
| ------------------------------ |
| Alonzo M. Clark (fb:m.0265trc) |

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The answer provided is incorrect because Dave Freudenthal was not a District representative; he was the governor of Wyoming. The question asks for the governor of the state where Dave Freudenthal is a District representative, implying he holds a legislative position, not the governorship. The SPARQL query incorrectly filters for Wyoming and the governor position but does not verify Dave Freudenthal's role as a District representative or find the state he represents. The query should first find the state where Dave Freudenthal is a District representative, then find the current governor of that state. Also, the query's date filters are hardcoded and may not reflect the current governor. The system should revise the query to correctly identify Dave Freudenthal's role and the corresponding state's governor, ensuring the answer matches the user's question.

[Assistant]
Thank you for the feedback. I misunderstood the question by assuming Dave Freudenthal was a District representative, but he was actually a governor. The question asks for the governor of the state where Dave Freudenthal is a District representative, implying he holds a legislative position, not the governorship.

I will revise my approach:
1. Verify if Dave Freudenthal holds or held a District representative position.
2. If yes, find the state associated with that position.
3. Find the current governor of that state.

I will start by searching for any government positions held by Dave Freudenthal that have titles related to "District representative" or similar legislative roles.

[Tool]
Top 10 property alternatives:
1. Government Positions Held (fb:government.politician.government_positions_held): links to type Government Position Held, part of Politician 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. Key (fb:type.object.key): part of Object schema, links to type Key
5. Profession (fb:people.person.profession): links to type Profession, part of Person schema
6. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
7. Party (fb:government.politician.party): links to type Political Party Tenure, part of Politician schema
8. Name (fb:type.object.name): part of Object schema, links to type Text
9. Appointees (fb:government.political_appointer.appointees): links to type Government Position Held, part of Political Appointer schema
10. Image (fb:common.topic.image): part of Topic schema, links to type Image

No other items found

[Assistant]
There are no specific properties indicating Dave Freudenthal held a "District representative" position. The only government position held by him is Governor of Wyoming.

Given this, it appears that Dave Freudenthal was not a District representative. Therefore, the question as stated cannot be answered directly because the premise is incorrect.

I will now check if there is any politician named Dave Freudenthal who is a District representative, different from the governor Dave Freudenthal. I will search for entities with the name "Dave Freudenthal" and check if any of them is a District representative.

[Tool]
Top 10 entity alternatives:
1. Dave Freudenthal (fb:m.026f66): David Duane "Dave" Freudenthal is an American politician who served as the 31st Governor of Wyoming from 2003 to 2011., has type Politician
2. Dave Freudenthal (fb:m.02cr85s)
3. Daventry District (fb:m.02gcsb): The Daventry district is the largest local government district o...tone, Fawsley, Flore Great Brington, Great Oxendon, Guilsborough, has type English non-metropolitan district
4. Dave Freudenthal speech (fb:m.089w0j2)
5. District Sales Representative (fb:m.04fy1nv): has type Job title
6. Davenport Historic District, also known as PO3563, PO6438 (fb:m.0fq3ck): The Davenport Historic District is a U.S. historic district loca...st Boulevard. It contains 28 historic buildings and 1 structure., has type Listed Site
7. Daventry Rural District (fb:m.0b19y9): The Daventry Rural District was a rural district in Northamptons... of Brixworth Rural District to form a new district of Daventry., has type Location
8. Davenport School District (fb:m.0483ms4): has type School district
9. Daventry District Northamptonshire (fb:m.0428n7y)
10. District Attorney Dave Blankenship (fb:m.0gyfm36): has type Fictional Character

[Assistant]
There is no entity named "Dave Freudenthal" identified as a District representative. The only politician named Dave Freudenthal is the former Governor of Wyoming.

Since the premise of the question is incorrect and Dave Freudenthal is not a District representative, I cannot find the governor of the state where he is a District representative.

I will now provide a final response explaining this.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The system correctly identified that Dave Freudenthal is not a District representative but rather served as the Governor of Wyoming. Since the question asks for the governor of the state where he is a District representative, which is factually incorrect, the system appropriately concluded that the question cannot be answered as stated. The explanation is clear and accurate. However, the system did not provide a SPARQL query, which is acceptable in this case because the question premise is false and no valid query can be constructed. Overall, the output is correct and complete.


Failed to generate SPARQL query

[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 sports facility is home to both the Houston Astros and Houston hotshots?

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

[Tool]
Example 1:
Question:
What is the Houston, Texas tourist attractions facility where Houston Aeros play?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03l2n ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03l2n fb:travel.travel_destination.tourist_attractions ?x .
  ?x fb:sports.sports_facility.teams fb:m.01tz_d .
}

Using entities:
Houston Aeros (fb:m.01tz_d): The Houston Aeros were a professional ice hockey team in the Ame...Center. They were the AHL affiliate of the NHL's Minnesota Wild., has type Ice hockey team
Houston, also known as Houston, Texas, Houston, TX, Montgomery County / Houston city (fb:m.03l2n): Houston is the most populous city in Texas and the American Sout...hnson Space Center, where the Mission Control Center is located., has type City/Town/Village

Using properties:
Teams (fb:sports.sports_facility.teams): part of Sports Facility schema, links to type Sports Team
Tourist attractions (fb:travel.travel_destination.tourist_attractions): part of Travel destination schema, links to type Tourist attraction

Example 2:
Question:
What is the name of the facility where the Houston Aeros play at home?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03l2n ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03l2n fb:travel.travel_destination.tourist_attractions ?x .
  ?x fb:sports.sports_facility.teams fb:m.01tz_d .
}

Using entities:
Houston Aeros (fb:m.01tz_d): The Houston Aeros were a professional ice hockey team in the Ame...Center. They were the AHL affiliate of the NHL's Minnesota Wild., has type Ice hockey team
Houston, also known as Houston, Texas, Houston, TX, Montgomery County / Houston city (fb:m.03l2n): Houston is the most populous city in Texas and the American Sout...hnson Space Center, where the Mission Control Center is located., has type City/Town/Village

Using properties:
Teams (fb:sports.sports_facility.teams): part of Sports Facility schema, links to type Sports Team
Tourist attractions (fb:travel.travel_destination.tourist_attractions): part of Travel destination schema, links to type Tourist attraction

Example 3:
Question:
Where is the facility where the Houston Rockets play that I can go to for fun?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03l2n ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03l2n fb:travel.travel_destination.tourist_attractions ?x .
  ?x fb:sports.sports_facility.teams fb:m.0jmfb .
}

Using entities:
Houston, also known as Houston, Texas, Houston, TX, Montgomery County / Houston city (fb:m.03l2n): Houston is the most populous city in Texas and the American Sout...hnson Space Center, where the Mission Control Center is located., has type City/Town/Village
Houston Rockets, also known as Rockets, San Diego Rockets (fb:m.0jmfb): The Houston Rockets are an American professional basketball team...ouston to the conference finals in his first year with the team., has type Professional Sports Team

Using properties:
Teams (fb:sports.sports_facility.teams): part of Sports Facility schema, links to type Sports Team
Tourist attractions (fb:travel.travel_destination.tourist_attractions): part of Travel destination schema, links to type Tourist attraction

[Assistant] From the examples, it seems that the property fb:sports.sports_facility.teams is used to link sports facilities to the teams that play there. I will now search for the entities "Houston Astros" and "Houston Hotshots" to get their identifiers in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Houston Astros, also known as Colt .45s (fb:m.03m1n): The Houston Astros are an American professional baseball team lo...t the Chicago White Sox, in which they were swept in four games., has type Professional Sports Team
2. Houston Astros (fb:m.09nw3kh): has type Fictional Character
3. Houston Astros (fb:m.0jbcp4q)
4. The Houston Astros (fb:m.06j9kyd): has type Book
5. Houston Astros Player (fb:m.09nhhwg): has type Fictional Character
6. Houston Astros Player (fb:m.08nfvxm): has type Fictional Character
7. 2015 Houston Astros season (fb:m.011x3vb0): The 2015 Houston Astros season is the 54th season for the franch...n the American League and their 16th season at Minute Maid Park.
8. Houston Astros current roster (fb:m.05hlppz): Houston Astros current roster
9. 2014 Houston Astros season (fb:m.012sv5v9): The 2014 Houston Astros season was the 53rd season for the franc...atured the best overall season record since that season as well.
10. 2011 Houston Astros season (fb:m.012sv5dv): The Houston Astros' 2011 season was the 50th season for the fran...ranchise's 50-year history to lose 100 games in a single season.

[Assistant] The Houston Astros professional baseball team is identified as fb:m.03m1n in the knowledge graph. Now I will search for the entity "Houston Hotshots" to get its identifier.

[Tool]
Top 10 entity alternatives:
1. Houston Hotshots (fb:m.0cwym3): The Houston Hotshots are a semi-professional indoor soccer team ...field a team in the upcoming Premier Arena Soccer League Season., has type Football team
2. Houston, also known as Houston, Texas, Houston, TX, Montgomery County / Houston city (fb:m.03l2n): Houston is the most populous city in Texas and the American Sout...hnson Space Center, where the Mission Control Center is located., has type City/Town/Village
3. Houston, also known as Houston, Alaska, Matanuska-Susitna Borough / Houston city (fb:m.01z1w3s): Houston is a city in Matanuska-Susitna Borough, Alaska, United S...een the two points. The population was 1,912 at the 2010 census., has type City/Town/Village
4. Houston, also known as Houston, Delaware, Kent County / Houston town (fb:m.0rghk): Houston is a town in Kent County, Delaware, United States. It is...on was 374 at the 2010 census. It was named for John W. Houston., has type City/Town/Village
5. Houston, also known as Houston County / Houston city, Houston, Minnesota (fb:m.0w1l2): Houston is a city in Houston County, Minnesota, United States. The population was 979 at the 2010 census., has type City/Town/Village
6. Houston, also known as Chickasaw County / Houston city, Houston, Mississippi (fb:m.0wpp1): Houston is a city in and one of two county seats of Chickasaw Co...sissippi Flywheel Festival in April and September of every year., has type City/Town/Village
7. Houston, also known as Houston, Missouri, Texas County / Houston city (fb:m.0x0rh): Houston is a city in Texas County, Missouri, United States. The ...2,081 at the 2010 census. It is the county seat of Texas County., has type City/Town/Village
8. Houston, also known as Perry County / Houston town, Houston, Arkansas (fb:m.0qw6p): Houston is a town in Perry County, Arkansas, United States. The ...tle Rock–North Little Rock–Conway Metropolitan Statistical Area., has type City/Town/Village
9. Houston, also known as Houston, Pennsylvania, Washington County / Houston borough (fb:m.0_g1m): Houston is a borough in Washington County, Pennsylvania, United ...Township attend school in the Chartiers-Houston School District., has type City/Town/Village
10. Houston (fb:m.01qszbp): Houston is an American singer, best known for the hit single "I Like That.", has type Musical Artist

[Assistant] The Houston Hotshots indoor soccer team is identified as fb:m.0cwym3 in the knowledge graph. Now I will search for sports facilities that have the Houston Astros as a team.

[Tool]
Got 3 rows and 3 columns:
| subject                              | property                                | object                      |
| ------------------------------------ | --------------------------------------- | --------------------------- |
| Minute Maid Park (fb:m.01ppxk)       | Teams (fb:sports.sports_facility.teams) | Houston Astros (fb:m.03m1n) |
| Astrodome (fb:m.01twt2)              | Teams (fb:sports.sports_facility.teams) | Houston Astros (fb:m.03m1n) |
| Osceola County Stadium (fb:m.066c35) | Teams (fb:sports.sports_facility.teams) | Houston Astros (fb:m.03m1n) |

[Assistant] The Houston Astros are associated with three sports facilities: Minute Maid Park (fb:m.01ppxk), Astrodome (fb:m.01twt2), and Osceola County Stadium (fb:m.066c35). Now I will check which sports facilities have the Houston Hotshots as a team.

[Tool]
Got 1 row and 3 columns:
| subject                 | property                                | object                         |
| ----------------------- | --------------------------------------- | ------------------------------ |
| NRG Arena (fb:m.07thm5) | Teams (fb:sports.sports_facility.teams) | Houston Hotshots (fb:m.0cwym3) |

[Assistant]
The Houston Hotshots are associated with the sports facility NRG Arena (fb:m.07thm5). Now I will check if there is any sports facility that is home to both the Houston Astros and Houston Hotshots by checking if any of the Astros' facilities match NRG Arena.
The Houston Astros are associated with Minute Maid Park, Astrodome, and Osceola County Stadium. The Houston Hotshots are associated with NRG Arena. Since none of the Astros' facilities match NRG Arena, I will check if NRG Arena has any other teams and if any of those teams are related to the Houston Astros.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?borderingCountry WHERE {
  ?country fb:government.governmental_jurisdiction.governing_officials ?govPosition .
  ?govPosition fb:government.government_position_held.office_holder fb:m.0_s65gv .
  ?country fb:location.location.adjoin_s ?adjoiningRel .
  ?adjoiningRel fb:location.adjoining_relationship.adjoins ?borderingCountry .
  ?borderingCountry fb:common.topic.notable_types fb:m.01mp .
  FILTER ( ?borderingCountry != ?country )
}

Got 9 rows and 1 column:
| borderingCountry            |
| --------------------------- |
| Belgium (fb:m.0154j)        |
| Germany (fb:m.0345h)        |
| Italy (fb:m.03rjj)          |
| Luxembourg (fb:m.04g61)     |
| Monaco (fb:m.04w58)         |
| Spain (fb:m.06mkj)          |
| Switzerland (fb:m.06mzp)    |
| United Kingdom (fb:m.07ssc) |
| Andorra (fb:m.0hg5)         |

The countries that share a border with the country that has an office holder named Michel Goudhaux are Belgium, Germany, Italy, Luxembourg, Monaco, Spain, Switzerland, United Kingdom, and Andorra.

[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 countries share border with the country who has an office holder named Michel Goudhaux?

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

[Tool]
Example 1:
Question:
What countries border the country with an office holder named Michel Goudchaux?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:government.governmental_jurisdiction.governing_officials ?k .
  ?k fb:government.government_position_held.office_holder fb:m.0_s65gv .
  ?c fb:location.location.adjoin_s ?y .
  ?y fb:location.adjoining_relationship.adjoins ?x .
  ?x fb:common.topic.notable_types fb:m.01mp .
}

Using entities:
Country, also known as Empire (fb:m.01mp): The type country in Freebase can and should be used with a varie...s with little population or autonomy will be typed as a country.
Michel Goudchaux (fb:m.0_s65gv): Michel Goudchaux was a French banker and politician who was twic...Republican, he refused to accept the government of Napoleon III., has type Politician

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Officeholder (fb:government.government_position_held.office_holder): part of Government Position Held schema, links to type Politician
Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held
Adjoins (fb:location.adjoining_relationship.adjoins): part of Adjoining Relationship schema, links to type Location
Adjoins (fb:location.location.adjoin_s): links to type Adjoining Relationship, part of Location schema

Example 2:
Question:
Who is the president of the country where Michel Goudchaux also holds an office?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:government.governmental_jurisdiction.governing_officials ?k .
  ?k fb:government.government_position_held.office_holder fb:m.0_s65gv .
  ?c fb:government.governmental_jurisdiction.governing_officials ?y .
  ?y fb:government.government_position_held.office_holder ?x .
  ?y fb:government.government_position_held.basic_title fb:m.060c4 .
  FILTER ( NOT EXISTS {
    ?y fb:government.government_position_held.from ?sk0
  }
  || EXISTS {
    ?y fb:government.government_position_held.from ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) <= "2015-08-10" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:government.government_position_held.to ?sk2
  }
  || EXISTS {
    ?y fb:government.government_position_held.to ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) >= "2015-08-10" ^^ xsd:dateTime )
  }
  )
}

Using entities:
President, also known as Chairman (fb:m.060c4): A president is the leader of a country or a division or part of ...publics, semi-presidential republics or parliamentary republics., has type Fictional job title
Michel Goudchaux (fb:m.0_s65gv): Michel Goudchaux was a French banker and politician who was twic...Republican, he refused to accept the government of Napoleon III., has type Politician

Using properties:
Basic title (fb:government.government_position_held.basic_title): links to type Government office category, part of Government Position Held schema
From (fb:government.government_position_held.from): part of Government Position Held schema, links to type Date/Time
Officeholder (fb:government.government_position_held.office_holder): part of Government Position Held schema, links to type Politician
To (fb:government.government_position_held.to): part of Government Position Held schema, links to type Date/Time
Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held

Example 3:
Question:
What is the time zone in the country that has a government official named Michel Goudchaux?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:government.governmental_jurisdiction.governing_officials ?k .
  ?k fb:government.government_position_held.office_holder fb:m.0_s65gv .
  ?c fb:location.location.time_zones ?x .
}

Using entities:
Michel Goudchaux (fb:m.0_s65gv): Michel Goudchaux was a French banker and politician who was twic...Republican, he refused to accept the government of Napoleon III., has type Politician

Using properties:
Officeholder (fb:government.government_position_held.office_holder): part of Government Position Held schema, links to type Politician
Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held
Time zone(s) (fb:location.location.time_zones): links to type Time Zone, part of Location schema

[Assistant]
From the examples, I see that Michel Goudhaux is represented as fb:m.0_s65gv in Freebase. The property for office holder is fb:government.government_position_held.office_holder. The country can be found by the property fb:government.governmental_jurisdiction.governing_officials linking to government positions. The bordering countries can be found through the properties fb:location.location.adjoin_s and fb:location.adjoining_relationship.adjoins.

I will now write a SPARQL query to find the countries that share a border with the country that has Michel Goudhaux as an office holder.

[Tool]
Got 9 rows and 1 column:
| borderingCountry            |
| --------------------------- |
| Belgium (fb:m.0154j)        |
| Germany (fb:m.0345h)        |
| Italy (fb:m.03rjj)          |
| Luxembourg (fb:m.04g61)     |
| Monaco (fb:m.04w58)         |
| Spain (fb:m.06mkj)          |
| Switzerland (fb:m.06mzp)    |
| United Kingdom (fb:m.07ssc) |
| Andorra (fb:m.0hg5)         |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the country associated with the office holder Michel Goudhaux and retrieves all countries that share a border with it. The query uses appropriate properties to find the governing officials and adjoining countries, and it filters out the original country from the results. The answer listing Belgium, Germany, Italy, Luxembourg, Monaco, Spain, Switzerland, United Kingdom, and Andorra matches the query results and is complete. No further refinement is necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?amusementPark WHERE {
  fb:m.07bcn fb:travel.travel_destination.tourist_attractions ?amusementPark .
  ?amusementPark fb:amusement_parks.park.rides fb:m.0j11548 .
}

Got 1 row and 1 column:
| amusementPark                           |
| --------------------------------------- |
| Raging Waters Sacramento (fb:m.03mdd2l) |

The amusement park in downtown Sacramento with the Dragon's Den ride is Raging Waters Sacramento.

[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 amusement park, with its Dragon's Den ride, is in downtown Sacramento?

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

[Tool]
Example 1:
Question:
In San Diego, California, what amusement park has the Manta ride?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.071vr ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.071vr fb:travel.travel_destination.tourist_attractions ?x .
  ?x fb:amusement_parks.park.rides fb:m.0gfgm_q .
}

Using entities:
San Diego, also known as Sunny San Diego, San Diego County / San Diego city, San Diego, California, San Diego, CA (fb:m.071vr): San Diego /ˌsæn diːˈeɪɡoʊ/ is a major city in California, on the... formed the first European settlement in what is now California., has type City/Town/Village
Manta (fb:m.0gfgm_q): Manta is a steel family launched roller coaster at SeaWorld San ... that was used in Blue Fire which opened in 2009 at Europa Park., has type Roller Coaster

Using properties:
Rides (fb:amusement_parks.park.rides): part of Amusement Park schema, links to type Amusement Ride
Tourist attractions (fb:travel.travel_destination.tourist_attractions): part of Travel destination schema, links to type Tourist attraction

Example 2:
Question:
What amusement park in San Diego has a ride called Manta?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.071vr ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.071vr fb:travel.travel_destination.tourist_attractions ?x .
  ?x fb:amusement_parks.park.rides fb:m.0gfgm_q .
}

Using entities:
San Diego, also known as Sunny San Diego, San Diego County / San Diego city, San Diego, California, San Diego, CA (fb:m.071vr): San Diego /ˌsæn diːˈeɪɡoʊ/ is a major city in California, on the... formed the first European settlement in what is now California., has type City/Town/Village
Manta (fb:m.0gfgm_q): Manta is a steel family launched roller coaster at SeaWorld San ... that was used in Blue Fire which opened in 2009 at Europa Park., has type Roller Coaster

Using properties:
Rides (fb:amusement_parks.park.rides): part of Amusement Park schema, links to type Amusement Ride
Tourist attractions (fb:travel.travel_destination.tourist_attractions): part of Travel destination schema, links to type Tourist attraction

Example 3:
Question:
What is the earliest amusement park to open in San Diego?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.071vr ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.071vr fb:travel.travel_destination.tourist_attractions ?x .
  ?x fb:amusement_parks.park.opened ?num .
}
ORDER BY ?num
LIMIT 1

Using entities:
San Diego, also known as Sunny San Diego, San Diego County / San Diego city, San Diego, California, San Diego, CA (fb:m.071vr): San Diego /ˌsæn diːˈeɪɡoʊ/ is a major city in California, on the... formed the first European settlement in what is now California., has type City/Town/Village

Using properties:
Opened (fb:amusement_parks.park.opened): part of Amusement Park schema, links to type Date/Time
Tourist attractions (fb:travel.travel_destination.tourist_attractions): part of Travel destination schema, links to type Tourist attraction

[Assistant]
From the examples, it seems the approach is to find the city entity (Sacramento), then find tourist attractions or amusement parks in that city, and then filter by the ride (Dragon's Den).

Step 1: Find the entity for Sacramento.
Step 2: Find amusement parks or tourist attractions in Sacramento.
Step 3: Check which amusement park has a ride called Dragon's Den.

I will start by searching for the entity Sacramento.

[Tool]
Top 10 entity alternatives:
1. Sacramento, also known as Sacramento, California, Sacramento County / Sacramento city (fb:m.07bcn): Sacramento is the capital city of the U.S. state of California a...ction of Sutter's Fort, which was established by Sutter in 1839., has type City/Town/Village
2. Sacramento, also known as McLean County / Sacramento city, Sacramento, Kentucky (fb:m.0th6n): Sacramento is a 6th-class city in McLean County, Kentucky, in th... U.S. Census. It is included in the Owensboro metropolitan area., has type City/Town/Village
3. Sacramento, also known as Sacramento, Minas Gerais (fb:m.0h7ngk): Sacramento is a Brazilian municipality located in the west of th... to the micro-region of Araxá. It became a municipality in 1820., has type Administrative Division
4. Sacramento (fb:m.0t5qp5): has type Musical Recording
5. Sacramento (fb:m.05c1kqd): Sacramento is a former civil parish in the city and municipality... 8 December 2012 it became part of the parish Santa Maria Maior., has type Location
6. Sacramento (fb:m.0s4y5d): has type Musical Recording
7. Sacramento, also known as Sacramento, Coahuila (fb:m.0319fx): Sacramento is a city in the northern Mexican state of Coahuila. ...a visit by Fr. Miguel Hidalgo during which he officiated a mass., has type City/Town/Village
8. Sacramento, New Mexico, also known as Sacramento, Sacramento, New Mexico (fb:m.04bb404): Sacramento is a census-designated place in Otero County, New Mex...e 88347. New Mexico State Road 521 passes through the community., has type City/Town/Village
9. Sacramento (fb:m.0168b6m): has type Musical Recording
10. Sacramento (fb:m.012t_grf): has type Musical Group

[Assistant]
I found the entity for Sacramento, California, the capital city of the U.S. state of California: fb:m.07bcn.

Next, I will search for amusement parks or tourist attractions in Sacramento (fb:m.07bcn).

[Tool]
Got 11 rows and 3 columns, showing the first 10 rows below:
| subject                 | property                                                               | object                                         |
| ----------------------- | ---------------------------------------------------------------------- | ---------------------------------------------- |
| Sacramento (fb:m.07bcn) | Tourist attractions (fb:travel.travel_destination.tourist_attractions) | Crocker Art Museum (fb:m.0b7727)               |
| Sacramento (fb:m.07bcn) | Tourist attractions (fb:travel.travel_destination.tourist_attractions) | Sutter's Fort (fb:m.0962d)                     |
| Sacramento (fb:m.07bcn) | Tourist attractions (fb:travel.travel_destination.tourist_attractions) | Sacramento Zoo (fb:m.0bgv0p)                   |
| Sacramento (fb:m.07bcn) | Tourist attractions (fb:travel.travel_destination.tourist_attractions) | Folsom Lake (fb:m.0d7nnr)                      |
| Sacramento (fb:m.07bcn) | Tourist attractions (fb:travel.travel_destination.tourist_attractions) | California State Railroad Museum (fb:m.03v4nl) |
| Sacramento (fb:m.07bcn) | Tourist attractions (fb:travel.travel_destination.tourist_attractions) | Raging Waters Sacramento (fb:m.03mdd2l)        |
| Sacramento (fb:m.07bcn) | Tourist attractions (fb:travel.travel_destination.tourist_attractions) | B Street Theatre (fb:m.0k4wq0k)                |
| Sacramento (fb:m.07bcn) | Tourist attractions (fb:travel.travel_destination.tourist_attractions) | California Automobile Museum (fb:m.065yn2d)    |
| Sacramento (fb:m.07bcn) | Tourist attractions (fb:travel.travel_destination.tourist_attractions) | California State Indian Museum (fb:m.07skv9)   |
| Sacramento (fb:m.07bcn) | Tourist attractions (fb:travel.travel_destination.tourist_attractions) | California State Capitol Museum (fb:m.03v4j7)  |
| ...                     | ...                                                                    | ...                                            |

[Assistant]
Among the tourist attractions in Sacramento, I found "Raging Waters Sacramento" (fb:m.03mdd2l) which sounds like an amusement park.

Next, I will check the rides of this amusement park to see if it has a ride called "Dragon's Den".

[Tool]
Got 5 rows and 3 columns:
| subject                                 | property                              | object                                    |
| --------------------------------------- | ------------------------------------- | ----------------------------------------- |
| Raging Waters Sacramento (fb:m.03mdd2l) | Rides (fb:amusement_parks.park.rides) | Dragon's Den (fb:m.0j11548)               |
| Raging Waters Sacramento (fb:m.03mdd2l) | Rides (fb:amusement_parks.park.rides) | Honolulu Half Pipe (fb:m.0j1154g)         |
| Raging Waters Sacramento (fb:m.03mdd2l) | Rides (fb:amusement_parks.park.rides) | Cliffhanger (fb:m.0j11542)                |
| Raging Waters Sacramento (fb:m.03mdd2l) | Rides (fb:amusement_parks.park.rides) | Shark Attack Slide Complex (fb:m.0j8l74q) |
| Raging Waters Sacramento (fb:m.03mdd2l) | Rides (fb:amusement_parks.park.rides) | Splashdown (fb:m.0j8l74y)                 |

[Assistant]
The amusement park "Raging Waters Sacramento" in Sacramento has a ride called "Dragon's Den."

Now I will formulate the final SPARQL query to retrieve the amusement park in Sacramento with the Dragon's Den ride.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the amusement park in downtown Sacramento that has the Dragon's Den ride. It uses the entity for Sacramento and the ride Dragon's Den, and finds the amusement park linked as a tourist attraction in Sacramento with that ride. The answer 'Raging Waters Sacramento' matches the query result and is a well-known amusement park in Sacramento. The query follows the rules by returning the identifier of the amusement park. No further refinement is necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?movie WHERE {
  fb:m.0bdxs5 fb:film.actor.film ?movie .
  ?movie fb:film.film.cinematography fb:m.03cx282 .
}

There are no movies in the knowledge graph where Miley Cyrus acted and the cinematography was by Philippe Rousselot.

[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 movies has Miley Cyrus been in, where the cinematography was by Philippe Rousselot?

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

[Tool]
Example 1:
Question:
What movie with cinematography by Douglas Milsome did Madonna appear in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01vs_v8 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01vs_v8 fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:film.film.cinematography fb:m.02qc5nn .
}

Using entities:
Madonna, also known as Nonnie, Madonna Ciccone Ritchie, Madonna Louise Ciccone, Madonna Louise Ciccone Ritchie, Madonna Louise Veronica Ciccone (fb:m.01vs_v8): Madonna Louise Ciccone is an American singer, songwriter, actres...mmy Award winners Ray of Light and Confessions on a Dance Floor., has type Celebrity
Douglas Milsome, also known as Doug Milsome (fb:m.02qc5nn): Douglas Milsome BSC, ASC is an English cinematographer. Sometime... of both the American and British Societies of Cinematographers., has type Film cinematographer

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Cinematography (fb:film.film.cinematography): links to type Film cinematographer, part of Film schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film

Example 2:
Question:
Which movies starring Taylor Lautner include cinematography by Guillermo Navarro?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07ldhs ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07ldhs fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:film.film.cinematography fb:m.02prdsv .
}

Using entities:
Guillermo Navarro, also known as Guillermo Navarro, ASC, Guillermo Navarro, ASC, A.M.C. (fb:m.02prdsv): Guillermo Navarro, ASC is a Mexican cinematographer and director...Juan Azulay, also featuring son Alvaro Navarro's cinematography., has type Film cinematographer
Taylor Lautner, also known as Taylor Daniel Lautner (fb:m.07ldhs): Taylor Daniel Lautner is an American actor, model and martial ar..., Lautner was named the highest-paid teenage actor in Hollywood., has type Martial Artist

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Cinematography (fb:film.film.cinematography): links to type Film cinematographer, part of Film schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film

Example 3:
Question:
What movie with Chris Colfer had cinematography by Brett Juskalian?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07k51gd ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07k51gd fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:film.film.cinematography fb:m.0fpdr1g .
}

Using entities:
Chris Colfer, also known as Chris, Christopher Paul "Chris" Colfer, Christopher Paul Colfer (fb:m.07k51gd): Christopher Paul "Chris" Colfer is an American actor, singer, au...ishing Spell, the first novel in his middle-grade reader series., Chris Colfer is an actor and screenwriter., has type Film actor
Brett Juskalian, also known as Brett Juskalia (fb:m.0fpdr1g): Brett Juskalian is a cinematographer., has type Film cinematographer

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Cinematography (fb:film.film.cinematography): links to type Film cinematographer, part of Film schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film

[Assistant]
The examples show a pattern for the SPARQL query:
- Find the entity for the actor (Miley Cyrus).
- Find the entity for the cinematographer (Philippe Rousselot).
- Query for films where the actor has a film performance and the film has cinematography by the cinematographer.

Next, I will search for the entity of Miley Cyrus in Freebase.

[Tool]
Top 10 entity alternatives:
1. Miley Cyrus, also known as Destiny Cyrus, Smiley Miley, Smiley, Miley Ray Cyrus, Miley (fb:m.0bdxs5): Miley Ray Cyrus is an American singer, songwriter, and actress. ...ives, which featured the successful track "Party in the U.S.A."., has type Celebrity
2. Miley Cyrus, also known as Mylie Cyrus (fb:m.0xnqn32): Interview with and performance by singer and actress Miley Cyrus., Miley Cyrus hosts and performs., has type TV Episode
3. Heather Morris, also known as Miley Cyrus (fb:m.0jqrh94): Miley Cyrus is the guest host. Prank victims include Kelly Osbourne, Khloe Kardashian and Liam Hemsworth., has type TV Episode
4. Miley Cyrus (fb:m.0zkzy0x): has type Musical Recording
5. Miley Cyrus (fb:m.0wcg7bb): has type TV Episode
6. Miley Cyrus (fb:m.0_mvzqm): has type TV Episode
7. Miley Cyrus (fb:m.010b0mvw): Miley Cyrus is an American actress and singer. She became an ove...ed Cyrus to launch her own recording career several years later., has type TV Episode
8. Miley Cyrus (fb:m.0y8cf1n): has type TV Episode
9. Miley Cyrus (fb:m.011r0zpk): Miley Cyrus is a fictional representation of singer and actress Miley Cyrus., has type Fictional Character
10. Miley Cyrus (fb:m.07bqrb9)

[Assistant] I found the entity for Miley Cyrus: fb:m.0bdxs5. Now I will search for the entity of Philippe Rousselot in Freebase.

[Tool]
Top 10 entity alternatives:
1. Philippe Rousselot (fb:m.03cx282): Philippe Rousselot is a French director of photography. Rousselo...1982 for Diva, in 1987 for Thérèse and in 1995 for Queen Margot., has type Film cinematographer
2. Adolphe d'Ennery, also known as Ennery, Philippe, Adolphe-Philippe Dennery, Adolphe Philippe Dennery, Adolphe-Philippe d'Ennery (fb:m.05jty0): Adolphe Philippe d'Ennery or Dennery was a French Jewish dramatist and novelist., has type Librettist
3. Philippe Le Sourd, also known as Philippe, Philippe Lesourd (fb:m.0jsrnf): Philippe Le Sourd is a French cinematographer. He received a nom...r Best Cinematography for his work on 2013 film The Grandmaster., Philippe Le Sourd is a cinematographer., has type Award Winner
4. Philippe Khorsand, also known as Monsieur Khorsand, Philippe Teymour, Philippe (fb:m.03mbz3q): Philippe Khorsand was a French actor. His father was Iranian and...onneur. Khorsand died of a hemorrhage at the age of 59 in Paris., has type Film actor
5. Philippe (fb:m.01qf80z): has type Musical Artist
6. Philippe, also known as Philippe of Gascony (fb:m.0cgh8q6): Philippe (or the Man in the Iron Mask) is the fictional twin bro...g Louis IV in Alexandre Dumas's novel The Vicomte of Bragelonne., has type Film character
7. Philippe (fb:m.0lyyc7r): Philippe is a fictional character from the 2011 film Intouchables., has type Film character
8. Philippe (fb:m.0j0xyf_): Philippe is a fictional character from the 2011 film Declaration of War., has type Film character
9. Philippe, also known as Raito Sonozaki, Philip, Kamen Rider W, Kamen Rider Double (fb:m.0nfw5jd): Philip is a fictional character from the 2010 film Kamen Rider × Kamen Rider OOO & W Featuring Skull: Movie War Core., Philippe is a character from the tv program Kamen Rider W., has type Film character
10. Philippe (fb:m.0yl1sh6): has type Film costumer designer, Philippe is a costume designer.

[Assistant] I found the entity for Philippe Rousselot: fb:m.03cx282. Now I will construct a SPARQL query to find movies where Miley Cyrus acted and the cinematography was by Philippe Rousselot.

[Tool]
Got 1 row and 1 column:
| movie                  |
| ---------------------- |
| Big Fish (fb:m.027pfg) |

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The answer 'Big Fish' is incorrect because Miley Cyrus was not in the movie 'Big Fish'. The SPARQL query is flawed because it uses the property fb:film.actor.film to link Miley Cyrus to a film performance, but then incorrectly tries to get the film from the performance again with ?performance fb:film.performance.film ?movie, which is redundant and likely incorrect. Instead, the query should directly link Miley Cyrus to films she acted in and then filter those films by cinematographer Philippe Rousselot. Also, the query should ensure that the returned results are actual films with Miley Cyrus as an actor and Philippe Rousselot as the cinematographer. I recommend rewriting the query to correctly find films where Miley Cyrus acted and Philippe Rousselot was the cinematographer, and verify the correctness of the data.

[Assistant] Thank you for the feedback. I understand the issue with the previous query. The property fb:film.actor.film links the actor directly to the film, so there is no need to go through the film performance again. I will rewrite the query to directly link Miley Cyrus to films she acted in and filter those films by cinematographer Philippe Rousselot. I will also verify the correctness of the data.

[Tool] Got no rows and 1 columns

[Assistant] The query returned no results, indicating there might be no movies in the knowledge graph where Miley Cyrus acted and Philippe Rousselot was the cinematographer. To confirm, I will check the movies where Philippe Rousselot was the cinematographer and then check if Miley Cyrus acted in any of those.

[Tool]
Got 10 rows and 1 column:
| movie                                     |
| ----------------------------------------- |
| The People vs. Larry Flynt (fb:m.0170th)  |
| Remember the Titans (fb:m.023gxx)         |
| Lions for Lambs (fb:m.026_6ms)            |
| Big Fish (fb:m.027pfg)                    |
| Interview with the Vampire (fb:m.02p76f9) |
| We're No Angels (fb:m.02qjkdz)            |
| Peppermint Soda (fb:m.02rvr_s)            |
| The Brave One (fb:m.02vlj62)              |
| The Final Winter (fb:m.02z2zpp)           |
| Antwone Fisher (fb:m.03mz5b)              |

[Assistant] I found 10 movies with cinematography by Philippe Rousselot. Now I will check if Miley Cyrus acted in any of these movies.

[Tool] Got no rows and 1 columns

[Tool] Stopped generation process

[User]
Feedback (status=done):
The system correctly formulated a SPARQL query to find movies where Miley Cyrus acted and Philippe Rousselot was the cinematographer. The query uses the appropriate properties and entities, and the execution result shows no such movies exist in the knowledge graph. The answer is clear and complete, stating that there are no movies matching the criteria. No further refinement is needed.