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 ?founder ?founderName WHERE {
  fb:m.0bwfn fb:organization.organization.founders ?founder .
  ?founder fb:government.politician.government_positions_held ?position .
  ?position fb:government.government_position_held.from ?fromDate .
  FILTER ( ?fromDate < "1795-03-04" ^^ xsd:date ) OPTIONAL {
    ?founder rdfs:label ?founderName .
    FILTER ( lang( ?founderName ) = '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]
The question asks for a governmental officer prior to 3-4-1795 who also founded New York University. From the examples, I see that the property fb:government.government_position_held.from can be used to filter government positions by start date. Also, the property fb:education.educational_institution or similar might be used to link a person to an institution they founded or are related to.

Next, I will search for the entity "New York University" in the knowledge graph to get its identifier. Then I will search for properties related to founding or founding institution for that entity or for people related to it.

[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] I found the entity for New York University as fb:m.0bwfn. Now I will search for properties related to founding or founder for this entity or for people related to it. I will start by searching properties of New York University that might relate to founding or founder.

[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 fb:organization.organization.founders seems to be the relevant property to find the founders of New York University. Now I will search for the founders of New York University using this property.

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

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

[Tool]
Got 3 rows and 2 columns:
| position     | fromDate              |
| ------------ | --------------------- |
| fb:m.04kq1pk | 1801-05-14 (xsd:date) |
| fb:m.09rfklv | 1793-12-02 (xsd:date) |
| fb:m.0m1qpm6 | 1795-03-04 (xsd:date) |

[Assistant] Albert Gallatin held governmental positions starting from 1793-12-02, which is prior to 3-4-1795. This matches the requirement of the question. I will now finalize the answer that Albert Gallatin is the governmental officer prior to 3-4-1795 and founded New York University.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?country ?countryLabel WHERE {
  ?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 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 Waldenburg is identified as an administrative division (province) with the Freebase ID fb:m.01_yjb. The question is about the country that includes this province and speaks Germanic languages. The examples also show how to query for countries that have a specific second-level division and speak a certain language.

I will now search for the entity "Waldenburg" to confirm its Freebase ID and then search for Germanic languages to find the relevant language entities. After that, I will construct a query to find the country that includes Waldenburg and speaks Germanic languages.

[Tool]
Top 10 entity alternatives:
1. Waldenburg, also known as Waldenburg, Baden-Wurttemberg, Waldenburg, Baden-Württemberg (fb:m.04pf5l): Waldenburg is a hilltop town in south central Germany, eastwards...1945, at the end of World War II, and it has been rebuilt since., has type City/Town/Village
2. Waldenburg, also known as Waldenburg, Saxony (fb:m.04wsf2): Waldenburg is a town in the district Zwickau in Saxony, Germany....castle was owned by the House of Schönburg from 1378 until 1945., has type City/Town/Village
3. Waldenburg, also known as Poinsett County / Waldenburg town, Waldenburg, Arkansas (fb:m.0qwfl): Waldenburg is a town in Poinsett County, Arkansas, United States... is a member congregation of the Lutheran Church—Missouri Synod., has type City/Town/Village
4. 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
5. Waldenburg, also known as Waldenburg, Michigan (fb:m.049zzkl): has type City/Town/Village
6. Waldenburg (fb:m.02k8v7c): has type Family name
7. Waldenburg District (fb:m.026tysp): Waldenburg District is one of the five districts of the largely ...on of 15,827. In average 150 persons live in a square kilometre., has type Administrative Division
8. Waldenburg railway, also known as Waldenburgerbahn, Waldenburg Railway (fb:m.0641kf0): The Waldenburg railway is a narrow-gauge light rail system in th...y steam-hauled trains until 1953, when electric operation began., has type Location
9. Louis Waldenburg (fb:m.03cn7s8): Louis Waldenburg was a German physician. Waldenburg was born in ...ant professor, and in 1877 department physician, at the Charité., has type Deceased Person
10. Louis Waldenburg (fb:m.0h0jttt)

[Assistant] There are multiple entities named Waldenburg. The one that is a province (administrative division) is "Waldenburg, Switzerland" with the Freebase ID fb:m.01_yjb. I will now search for Germanic languages in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Germanic language (fb:m.07r7jhc)
2. 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
3. Germanic parent language (fb:m.03cyssx): In historical linguistics, the Germanic parent language includes...s of Elzbieta Adamczyk, Jonathan Slocum, and Winfred P. Lehmann.
4. Germanic languages (fb:m.0bp95lx)
5. Germanic languages (fb:m.02915jr)
6. Germanic languages--Etymology (fb:m.0bn_sqp)
7. Germanic languages--History (fb:m.0bpht__)
8. Germanic languages--Phonology (fb:m.0bq30_7)
9. Germanic languages--Grammar (fb:m.0bprnjr)
10. Germanic languages--Semantics (fb:m.0bp0kfr)

[Assistant]
There are several entities related to Germanic languages. The most relevant seems to be "Germanic languages" with the Freebase ID fb:m.03489, which is a language family.

I will now construct a SPARQL query to find the country that includes the province Waldenburg (fb:m.01_yjb) and speaks any language that is a Germanic language (fb:m.03489). I will check if the country has this language as an official language or spoken language.

[Tool] Got no rows and 2 columns

[Assistant]
The query did not return any results when checking for countries that have Waldenburg as a second-level division and have an official language that is a Germanic language.

I will try a slightly different approach: I will check if the country has any language spoken that is a Germanic language (not necessarily official language). I will also check if the Germanic language entity has subclasses or related languages to include in the query.

[Tool]
Got 3 rows and 3 columns:
| subject                         | property                   | object                                                   |
| ------------------------------- | -------------------------- | -------------------------------------------------------- |
| Germanic languages (fb:m.03489) | Type (fb:type.object.type) | Topic (fb:common.topic)                                  |
| Germanic languages (fb:m.03489) | Type (fb:type.object.type) | Ontology Instance (fb:base.ontologies.ontology_instance) |
| Germanic languages (fb:m.03489) | Type (fb:type.object.type) | Language Family (fb:language.language_family)            |

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Assistant]
The Germanic languages entity (fb:m.03489) is typed as a Language Family, but there are no direct subfamilies or subclasses listed under it in the knowledge graph.

I will now try to find languages that are spoken in the country that includes Waldenburg and check if any of those languages are linked to the Germanic languages family or have a label indicating they are Germanic languages. I will first find the country that includes Waldenburg.

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

[Assistant]
The country that includes the province Waldenburg (fb:m.01_yjb) is Switzerland (fb:m.06mzp).

Next, I will check if Switzerland speaks any Germanic languages. I will look for languages spoken in Switzerland and see if any of them are Germanic languages.

[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]
Switzerland has several official languages including German Language (fb:m.04306rv).

I will now verify if the German Language (fb:m.04306rv) is a Germanic language or belongs to the Germanic language family (fb:m.03489).

[Tool]
Got 19 rows and 3 columns, showing the first 10 rows below:
| subject                        | property                   | object                                                                                |
| ------------------------------ | -------------------------- | -------------------------------------------------------------------------------------- |
| German Language (fb:m.04306rv) | Type (fb:type.object.type) | Topic (fb:common.topic)                                                                |
| German Language (fb:m.04306rv) | Type (fb:type.object.type) | Non-Agent (fb:base.type_ontology.non_agent)                                            |
| German Language (fb:m.04306rv) | Type (fb:type.object.type) | Abstract (fb:base.type_ontology.abstract)                                              |
| German Language (fb:m.04306rv) | Type (fb:type.object.type) | Processed with Review Queue (fb:user.alust.default_domain.processed_with_review_queue) |
| German Language (fb:m.04306rv) | Type (fb:type.object.type) | Literature Subject (fb:book.book_subject)                                              |
| German Language (fb:m.04306rv) | Type (fb:type.object.type) | Topic (fb:base.allthingsnewyork.topic)                                                 |
| German Language (fb:m.04306rv) | Type (fb:type.object.type) | Human Language (fb:language.human_language)                                            |
| German Language (fb:m.04306rv) | Type (fb:type.object.type) | Languoid (fb:base.rosetta.languoid)                                                    |
| German Language (fb:m.04306rv) | Type (fb:type.object.type) | Context name (fb:base.schemastaging.context_name)                                      |
| German Language (fb:m.04306rv) | Type (fb:type.object.type) | Industry (fb:business.industry)                                                        |
| ...                            | ...                        | ...                                                                                |

[Tool]
Got 3 rows and 3 columns:
| subject                        | property                                                     | object                                |
| ------------------------------ | ------------------------------------------------------------ | ------------------------------------- |
| German Language (fb:m.04306rv) | Language Family (fb:language.human_language.language_family) | Indo-European languages (fb:m.03v09)  |
| German Language (fb:m.04306rv) | Language Family (fb:language.human_language.language_family) | Germanic languages (fb:m.03489)       |
| German Language (fb:m.04306rv) | Language Family (fb:language.human_language.language_family) | West Germanic languages (fb:m.0140qt) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?governor WHERE {
  fb:m.026f66 fb:government.politician.government_positions_held ?position .
  ?position fb:government.government_position_held.jurisdiction_of_office ?state .
  ?state fb:government.governmental_jurisdiction.governing_officials ?govPosition .
  ?govPosition fb:government.government_position_held.basic_title fb:m.0fkvn .
  ?govPosition fb:government.government_position_held.office_holder ?governor .
}

Got 32 rows and 1 column, showing the first 5 and last 5 rows below:
| governor                        |
| ------------------------------- |
| Frank Emerson (fb:m.08sr93)     |
| Francis E. Warren (fb:m.06bx_x) |
| Nellie Tayloe Ross (fb:m.0d44q) |
| Frank E. Lucas (fb:m.027s258)   |
| William B. Ross (fb:m.0d1rgq)   |
| ...                             |
| Dave Freudenthal (fb:m.026f66)  |
| Jim Geringer (fb:m.026qlb1)     |
| Mike Sullivan (fb:m.034q0p)     |
| Edgar Herschler (fb:m.07rmc9)   |
| Matt Mead (fb:m.02rzfbm)        |

Dave Freudenthal was the governor of Wyoming, the state where he held a government position.

[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 examples, it seems the query pattern involves:
1. Finding the location (state) where the person holds a district representative position.
2. Finding the governor of that location.

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

[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] I found the entity for Dave Freudenthal: fb:m.026f66. Now I will search for the property that indicates the district representative position or the office held by Dave Freudenthal.

[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] The property "Government Positions Held" (fb:government.politician.government_positions_held) seems to be the relevant one to find the positions held by Dave Freudenthal. I will now query the government positions held by Dave Freudenthal to find the district representative position and the associated state.

[Tool]
Got 1 row and 2 columns:
| position     | positionLabel |
| ------------ | ------------- |
| fb:m.04js2b6 |               |

[Assistant] Dave Freudenthal held a government position with the identifier fb:m.04js2b6. I will now look into the details of this position to see if it is a district representative position and to find the state associated with it.

[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]
Dave Freudenthal held the position of Governor of Wyoming (fb:m.04js22_) from 2003 to 2011. The jurisdiction of this office is Wyoming (fb:m.0846v). The question asks for the governor of the state where Dave Freudenthal is a district representative, but it appears he was the governor himself.

To confirm, I will check if Dave Freudenthal held any other government positions that might be a district representative.

[Tool] Got no rows and 2 columns

[Assistant]
Dave Freudenthal only held the position of Governor of Wyoming according to the data. Since the question asks for the governor of the state where Dave Freudenthal is a district representative, but he himself was the governor of Wyoming, the answer should be Dave Freudenthal himself.

I will now formulate the final SPARQL query to confirm the governor of the state where Dave Freudenthal held a government position and provide the answer.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?facility WHERE {
  ?facility fb:sports.sports_facility.teams fb:m.03m1n .
  ?facility fb:sports.sports_facility.teams fb:m.0cwym3 .
}

There is no sports facility that is home to both the Houston Astros and Houston Hotshots according to the data in the knowledge graph.

[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 corresponding to "Houston Astros" and "Houston Hotshots" 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] I found the entity for Houston Astros as fb:m.03m1n which is a professional sports team. Next, I will search for the Houston Hotshots entity in the knowledge graph.

[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] I found the entity for Houston Hotshots as fb:m.0cwym3 which is a football team. Now, I will search for the sports facility that is home to the Houston Astros (fb:m.03m1n).

[Tool]
Top 10 property alternatives:
1. Arena/Stadium (fb:sports.sports_team.arena_stadium): links to type Sports Facility, part of Sports Team schema
2. Sports Team Location (fb:sports.sports_team.location): links to type Sports Team Location, part of Sports Team schema
3. Venue (fb:sports.sports_team.venue): links to type Team/venue relationship, part of Sports Team schema
4. Team Stats (fb:baseball.baseball_team.team_stats): links to type Baseball Team Stats, part of Baseball Team schema
5. Training ground (fb:base.schemastaging.sports_team_extra.training_ground): links to type Team/training ground relationship, part of Sports team extra schema
6. Sport (fb:sports.sports_team.sport): part of Sports Team schema, links to type Sport
7. League (fb:baseball.baseball_team.league): links to type Baseball League, part of Baseball Team schema
8. Team Mascot (fb:sports.sports_team.team_mascot): part of Sports Team schema, links to type Mascot
9. Official website (fb:common.topic.official_website): part of Topic schema, links to type URI
10. Roster (fb:sports.sports_team.roster): links to type Sports team roster, part of Sports Team schema

No other items found

[Assistant] The property fb:sports.sports_team.arena_stadium seems to be the appropriate property to find the home sports facility (arena or stadium) of the Houston Astros. I will now use this property to find the sports facility for the Houston Astros.

[Tool]
Got 3 rows and 1 column:
| facility                             |
| ------------------------------------ |
| Minute Maid Park (fb:m.01ppxk)       |
| Astrodome (fb:m.01twt2)              |
| Osceola County Stadium (fb:m.066c35) |

[Assistant] The Houston Astros have been associated with three sports facilities: Minute Maid Park, Astrodome, and Osceola County Stadium. Next, I will check which of these facilities is also home to the Houston Hotshots (fb:m.0cwym3). I will query the sports facilities that are home to the Houston Hotshots.

[Tool]
Got 1 row and 1 column:
| facility                |
| ----------------------- |
| NRG Arena (fb:m.07thm5) |

[Assistant] The Houston Hotshots are associated with the sports facility NRG Arena. Since this is different from the facilities associated with the Houston Astros, I will now check if there is any sports facility that has both the Houston Astros and Houston Hotshots as teams using the property fb:sports.sports_facility.teams.

[Tool] Got no rows and 1 columns

[Assistant] There is no sports facility that is home to both the Houston Astros and Houston Hotshots according to the current data. I will now check if there is any other property that might link the Houston Hotshots to a sports facility.

[Tool]
Top 10 property alternatives:
1. Article (fb:common.topic.article): links to type Document, part of Topic schema
2. Name (fb:type.object.name): part of Object schema, links to type Text
3. Venue (fb:sports.sports_team.venue): links to type Team/venue relationship, part of Sports Team schema

No other items found

[Assistant] The property fb:sports.sports_team.venue might also be used to link the Houston Hotshots to their home sports facility. I will check the value of this property for the Houston Hotshots.

[Tool]
Got 2 rows and 1 column:
| venue        |
| ------------ |
| fb:m.0wz3018 |
| fb:m.0x2dzn8 |

[Assistant] The Houston Hotshots have two venues associated with them (fb:m.0wz3018 and fb:m.0x2dzn8). I will now check if any of these venues are also associated with the Houston Astros.

[Tool]
Got 2 rows and 1 column:
| venue        |
| ------------ |
| fb:m.0wz1v_1 |
| fb:m.0wz2yc_ |

[Assistant] The Houston Astros have two venues associated with them (fb:m.0wz1v_1 and fb:m.0wz2yc_). None of these venues match the venues associated with the Houston Hotshots. I will now check the labels of the venues associated with the Houston Hotshots to understand what they are.

[Tool]
Got 2 rows and 2 columns:
| venue        | label |
| ------------ | ----- |
| fb:m.0wz3018 |       |
| fb:m.0x2dzn8 |       |

[Assistant] The venues associated with the Houston Hotshots do not have labels in the knowledge graph. I will now check the labels of the venues associated with the Houston Astros to understand what they are.

[Tool]
Got 2 rows and 2 columns:
| venue        | label |
| ------------ | ----- |
| fb:m.0wz1v_1 |       |
| fb:m.0wz2yc_ |       |

[Assistant] The venues associated with the Houston Astros also do not have labels in the knowledge graph. Given the data, there is no sports facility or venue that is home to both the Houston Astros and Houston Hotshots. I will now provide this as the final answer.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?borderingCountry WHERE {
  ?country fb:government.governmental_jurisdiction.governing_officials ?position .
  ?position 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 the entity for Michel Goudhaux is fb:m.0_s65gv and the properties to use are:
- fb:government.governmental_jurisdiction.governing_officials to find the government position held in a country
- fb:government.government_position_held.office_holder to find the office holder
- fb:location.location.adjoin_s to find adjoining relationships
- fb:location.adjoining_relationship.adjoins to find countries that adjoin the country

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


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>
SELECT DISTINCT ?amusementPark ?amusementParkName WHERE {
  fb:m.07bcn fb:travel.travel_destination.tourist_attractions ?amusementPark .
  ?amusementPark rdf:type fb:amusement_parks.park .
  ?amusementPark fb:amusement_parks.park.rides fb:m.0j11548 .
  ?amusementPark rdfs:label ?amusementParkName .
  FILTER ( LANG( ?amusementParkName ) = "en" )
}

Got 1 row and 2 columns:
| amusementPark                           | amusementParkName             |
| --------------------------------------- | ----------------------------- |
| Raging Waters Sacramento (fb:m.03mdd2l) | Raging Waters Sacramento (en) |

The amusement park with the Dragon's Den ride in Sacramento 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 we need to find an entity for Sacramento, then find amusement parks that are tourist attractions in Sacramento, and check if they have a ride called "Dragon's Den."

Step 1: Search for the entity "Sacramento" in the freebase knowledge graph.

[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] The entity for Sacramento, California, the capital city of the U.S. state of California, is fb:m.07bcn. Next, I will find amusement parks that are tourist attractions in Sacramento (fb:m.07bcn).

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

[Assistant] There is one amusement park in Sacramento listed as a tourist attraction: Raging Waters Sacramento (fb:m.03mdd2l). Now I will check if this amusement park has a ride called "Dragon's Den."

[Tool]
Top 10 property alternatives:
1. Rides (fb:amusement_parks.park.rides): part of Amusement Park schema, links to type Amusement Ride
2. Near travel destination (fb:travel.tourist_attraction.near_travel_destination): part of Tourist attraction schema, links to type Travel destination
3. Description (fb:common.topic.description): part of Topic schema, links to type Text
4. Name (fb:type.object.name): part of Object schema, links to type Text
5. Key (fb:type.object.key): part of Object schema, links to type Key
6. Type (fb:type.object.type): part of Object schema, links to type Type
7. Opened (fb:amusement_parks.park.opened): part of Amusement Park schema, links to type Date/Time
8. Official website (fb:common.topic.official_website): part of Topic schema, links to type URI
9. Web Link(s) (fb:common.topic.webpage): links to type Webpage, part of Topic schema
10. Article (fb:common.topic.article): links to type Document, part of Topic schema

No other items found

[Assistant] The property for rides of the amusement park is fb:amusement_parks.park.rides. Now I will check the rides of Raging Waters Sacramento to see if any of them is called "Dragon's Den."

[Tool]
Got 1 row and 2 columns:
| ride                        | rideName          |
| --------------------------- | ----------------- |
| Dragon's Den (fb:m.0j11548) | Dragon's Den (en) |

[Assistant] The amusement park Raging Waters Sacramento has a ride called "Dragon's Den." Now I will verify if this amusement park is located in downtown Sacramento. I will check the location or address information of Raging Waters Sacramento.

[Tool]
Got 60 rows and 3 columns, showing the first 10 rows below:
| subject                                 | property                                                            | object                                                                   |
| --------------------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Raging Waters Sacramento (fb:m.03mdd2l) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Raging Waters Sacramento (fb:m.03mdd2l) | Key (fb:type.object.key)                                            | /en/raging_waters_sacramento                                             |
| Raging Waters Sacramento (fb:m.03mdd2l) | Name (fb:type.object.name)                                          | Raging Waters Sacramento (en)                                            |
| Raging Waters Sacramento (fb:m.03mdd2l) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://en.wikipedia.org/wiki/index.html?curid=15532657>                 |
| Raging Waters Sacramento (fb:m.03mdd2l) | Notable for (fb:common.topic.notable_for)                           | fb:g.125dm_y2j                                                           |
| Raging Waters Sacramento (fb:m.03mdd2l) | Notable types (fb:common.topic.notable_types)                       | Amusement Park (fb:m.04kcwlg)                                            |
| Raging Waters Sacramento (fb:m.03mdd2l) | Description (fb:common.topic.description)                           | Raging Waters Sacramento est un ...situent à San Jose et San Dimas. (fr) |
| Raging Waters Sacramento (fb:m.03mdd2l) | Article (fb:common.topic.article)                                   | fb:m.03mdd2q                                                             |
| Raging Waters Sacramento (fb:m.03mdd2l) | Contained by (fb:location.location.containedby)                     | Sacramento (fb:m.07bcn)                                                  |
| Raging Waters Sacramento (fb:m.03mdd2l) | Geolocation (fb:location.location.geolocation)                      | fb:m.0wn34v_                                                             |
| ...                                     | ...                                                                 | ...                                                                      |

[Assistant] Raging Waters Sacramento is contained by Sacramento (fb:m.07bcn), but there is no explicit information here that it is in downtown Sacramento. I will check if there is any property related to "downtown" for this amusement park.

[Tool]
Top 10 property alternatives:
1. Near travel destination (fb:travel.tourist_attraction.near_travel_destination): part of Tourist attraction schema, links to type Travel destination
2. Opened (fb:amusement_parks.park.opened): part of Amusement Park schema, links to type Date/Time
3. Rides (fb:amusement_parks.park.rides): part of Amusement Park schema, links to type Amusement Ride
4. Official website (fb:common.topic.official_website): part of Topic schema, links to type URI
5. Time zone(s) (fb:location.location.time_zones): links to type Time Zone, part of Location schema
6. Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
7. Type (fb:type.object.type): part of Object schema, links to type Type
8. Name (fb:type.object.name): part of Object schema, links to type Text
9. Key (fb:type.object.key): part of Object schema, links to type Key
10. Geolocation (fb:location.location.geolocation): part of Location schema, links to type Geocode

No other items found

[Assistant] There is no direct property indicating that Raging Waters Sacramento is in downtown Sacramento. Since it is contained by Sacramento and has the Dragon's Den ride, it is likely the amusement park in question. I will now finalize the answer with this information.

[Tool] Stopped generation process