PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?region ?regionLabel WHERE {
  ?region fb:location.location.contains fb:m.0154j .
  ?region fb:location.location.contains fb:m.0f8l9c .
  OPTIONAL {
    ?region rdfs:label ?regionLabel FILTER ( lang( ?regionLabel ) = 'en' )
  }
}

Got 2 rows and 2 columns:
| region                      | regionLabel         |
| --------------------------- | ------------------- |
| Europe (fb:m.02j9z)         | Europe (en)         |
| Western Europe (fb:m.0852h) | Western Europe (en) |

The regions that include both Belgium and the Lyon-Saint-Exupéry Airport (located in France) are Europe and Western Europe.

[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 region includes Belgium as well as the LyonâSaint-ExupÃ©ry Airport?

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

[Tool]
Example 1:
Question:
What city includes the town Lyon and had a Flemish population?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.018hlv ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.018hlv fb:people.ethnicity.geographic_distribution ?x .
  ?x fb:location.location.contains ?c .
  ?c fb:location.mailing_address.citytown fb:m.0dprg .
}

Using entities:
Flemish people, also known as Flemings (fb:m.018hlv): Flemings are a Germanic ethnic group, who speak Dutch. They are ...f the medieval duchy of Brabant and the medieval county of Loon., has type Ethnicity
Lyon, also known as Lyons (fb:m.0dprg): Lyon or Lyons is a city in east-central France, in the Rhône-Alp...utation as the capital of gastronomy in France and in the world., has type City/Town/Village

Using properties:
Contains (fb:location.location.contains): part of Location schema, links to type Location
City/Town (fb:location.mailing_address.citytown): links to type Location, part of Address schema
Geographic distribution (fb:people.ethnicity.geographic_distribution): part of Ethnicity schema, links to type Location

Example 2:
Question:
What country beside France contains an airport that serves Kleve (district)?

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.location.contains ?c .
  ?c fb:aviation.airport.serves fb:m.01b98m .
}

Using entities:
Kleve (district) (fb:m.01b98m): Kleve (district) or Kreis Kleve is a Kreis in northwestern North...n in Germany, and the Dutch provinces of Limburg and Gelderland., has type German rural district
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:
Serves (fb:aviation.airport.serves): links to type Location, part of Airport schema
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
Adjoins (fb:location.location.adjoin_s): links to type Adjoining Relationship, part of Location schema
Contains (fb:location.location.contains): part of Location schema, links to type Location

Example 3:
Question:
What country in the EU has a city called Lyon?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0_6t_z8 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0_6t_z8 fb:organization.membership_organization.members ?y .
  ?y fb:organization.organization_membership.member ?x .
  ?x fb:location.location.contains ?c .
  ?c fb:location.mailing_address.citytown fb:m.0dprg .
}

Using entities:
European Union, also known as Union européenne, Unión Europea, European Union Member States, EU region, Europäischen Union (fb:m.0_6t_z8): The European Union is a politico-economic union of 28 member sta... basis of the EU, the Treaty of Lisbon, came into force in 2009., has type Membership organization
Lyon, also known as Lyons (fb:m.0dprg): Lyon or Lyons is a city in east-central France, in the Rhône-Alp...utation as the capital of gastronomy in France and in the world., has type City/Town/Village

Using properties:
Contains (fb:location.location.contains): part of Location schema, links to type Location
City/Town (fb:location.mailing_address.citytown): links to type Location, part of Address schema
Members (fb:organization.membership_organization.members): part of Membership organization schema, links to type Organization membership
Member (fb:organization.organization_membership.member): part of Organization membership schema, links to type Organization member

[Assistant]
From the examples, it seems we need to identify the entities for Belgium and Lyon-Saint-Exupéry Airport first. Then we can find a region that contains both.

Step 1: Search for the entity Belgium in Freebase.

[Tool]
Top 10 entity alternatives:
1. Belgium, also known as België, Belgique, Kingdom of Belgium (fb:m.0154j): Belgium, officially the Kingdom of Belgium, is a sovereign state... Region. A German-speaking Community exists in eastern Wallonia., has type Country
2. Belgium, also known as Vermilion County / Belgium village, Belgium, Illinois (fb:m.0shj5): Belgium is a village in Vermilion County, Illinois, United State...tan Statistical Area. The population was 466 at the 2000 census., has type City/Town/Village
3. Belgium, also known as Belgium, Wisconsin (fb:m.01mmcc): Belgium is a village located in the Town of Belgium in Ozaukee C...sin, United States. The population was 2,245 at the 2010 census., has type City/Town/Village
4. Belgium, also known as Belgium, Wisconsin, Ozaukee County / Belgium village (fb:m.01mmc0): Belgium is a town in Ozaukee County, Wisconsin, United States. T...corporated community of Dacada is located partially in the town., has type City/Town/Village
5. Belgium (fb:m.05ymt7c): has type Author
6. Belgium, also known as Belgium, West Virginia (fb:m.08cdy8): Belgium is an unincorporated community in Taylor County, West Virginia, United States., has type City/Town/Village
7. Bjorn Jiskoot Jr., also known as Mr. J, B.J., Belgium, Bjorn Jiskoot (fb:m.03hkmxf): has type Film actor
8. Belgium, also known as Belgium (acoustic) (fb:m.0t4_02): has type Musical Recording
9. Belgium (fb:m.093zpvh): has type Book Edition
10. Belgium (fb:m.0thdvy): has type Canonical Version

[Assistant] The entity for Belgium as a country is fb:m.0154j. Next, I will search for the entity for Lyon-Saint-Exupéry Airport.

[Tool]
Top 10 entity alternatives:
1. Lyon–Saint-Exupéry Airport, also known as Lyon Satolas Airport, Saint-Exupéry Airport, Saint-Exupery International Airport (fb:m.01nkmw): Lyon–Saint-Exupéry Airport, formerly known as Lyon Satolas Airpo...-Saugnieu, 11 nautical miles east southeast of Lyon city centre., has type Transport terminus
2. Airport (fb:aviation.airport)
3. Airport (fb:m.09cjl): An airport is an aerodrome with facilities for commercial aviati...rt or the Battle for Donetsk Airport, both taking place in 2014., has type Literature Subject
4. Airport (fb:m.0pd57): Airport is a 1970 American drama film starring Burt Lancaster an...rns over noise pollution, and an attempt to blow up an airliner., has type Film
5. AirPort (fb:m.0fybc): AirPort is the name given to a series of products by Apple Inc. ...under the brand AirMac due to previous registration by I-O Data.
6. Airport (fb:m.05l18f): Airport is a British documentary television series based at Lond...rt 'bumpers' on UKTV People explaining how to best use airports., has type Award-Winning Work
7. Airport (fb:m.01xpjyz): An airport is a facility where aircraft such as airplanes and helicopters can take off and land.
8. Tony Barber, also known as Airport, Tony Barber, Barber, Tony, Anthony 'Tony' Barber, Anthony Barber (fb:m.0k_kxw): Anthony 'Tony' Barber is a former bassist of the British pop-pun...rber also talked about his involvement in animal rescue efforts., has type Composer
9. Airport (fb:m.052p26): Airport is a bestselling 1968 novel by Arthur Hailey about a lar...els: Airport 1975, Airport '77 and The Concorde ... Airport '79., has type Work of Fiction
10. Airport, also known as Airports (fb:m.0rbmgw): has type Musical Recording

[Assistant] The entity for Lyon-Saint-Exupéry Airport is fb:m.01nkmw. Now, I will find a region that contains both Belgium (fb:m.0154j) and Lyon-Saint-Exupéry Airport (fb:m.01nkmw). I will look for a region that contains Belgium and also contains the location of the airport.

[Tool] Got no rows and 1 columns

[Assistant] The query did not return any results. It might be that the airport is not directly contained by the same region that contains Belgium, but rather the region is a larger entity that contains both Belgium and the airport location. I will try to find the location that contains Lyon-Saint-Exupéry Airport first and then find a region that contains both Belgium and that location.

[Tool] Got no rows and 1 columns

[Assistant] The property "fb:aviation.airport.serves" did not return any location for Lyon-Saint-Exupéry Airport. I will try to find the location that contains the airport using a more general property "fb:location.location.contains".

[Tool]
Got 2 rows and 1 column:
| location                             |
| ------------------------------------ |
| Saint-Laurent-de-Mure (fb:m.03qgfsc) |
| France (fb:m.0f8l9c)                 |

[Assistant] The Lyon-Saint-Exupéry Airport is contained in the locations Saint-Laurent-de-Mure (fb:m.03qgfsc) and France (fb:m.0f8l9c). Now I will find a region that contains both Belgium (fb:m.0154j) and France (fb:m.0f8l9c).

[Tool]
Got 2 rows and 1 column:
| region                      |
| --------------------------- |
| Europe (fb:m.02j9z)         |
| Western Europe (fb:m.0852h) |

[Assistant] The regions that include both Belgium and France (which contains Lyon-Saint-Exupéry Airport) are Europe (fb:m.02j9z) and Western Europe (fb:m.0852h). I will provide these as the answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies regions that contain both Belgium and the Lyon-Saint-Exupéry Airport by using the 'contains' property for both entities. The answer is accurate and complete, listing Europe and Western Europe as the regions including both. The query also optionally retrieves English labels for better readability. No further refinement is needed.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?film WHERE {
  fb:m.0g2lq fb:film.actor.dubbing_performances ?dubbing .
  ?dubbing fb:film.dubbing_performance.film ?film .
  ?film fb:film.film.genre fb:m.06qln .
}

According to the knowledge graph, Ron Howard did not do a voice in any stop motion movie.

[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 stop motion movie did Ron Howard do a voice in?

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

[Tool]
Example 1:
Question:
What stop motion movies did Ron Howard direct?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0g2lq ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0g2lq fb:film.director.film ?x .
  ?x fb:film.film.genre ?c .
  ?c fb:type.object.name "Stop motion" @en .
}

Using entities:
Ron Howard, also known as Ronny Howard, Ron, Ronnie Howard, Ronald William "Ron" Howard, Ronald William Howard (fb:m.0g2lq): Ronald William "Ron" Howard is an American film director, produc...m. Howard was inducted into the Television Hall of Fame in 2013., has type Film director

Using properties:
Films directed (fb:film.director.film): part of Film director schema, links to type Film
Genres (fb:film.film.genre): links to type Film genre, part of Film schema
Name (fb:type.object.name): part of Object schema, links to type Text

Example 2:
Question:
What clay animation movie was directed by Ron Howard?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0g2lq ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0g2lq fb:film.director.film ?x .
  ?x fb:film.film.genre ?c .
  ?c fb:media_common.media_genre.child_genres fb:m.02fcct .
}

Using entities:
Clay animation, also known as Claymation (fb:m.02fcct): Clay animation or claymation is one of many forms of stop motion... are conversely generally removed from a frame-by-frame process., has type TV Genre
Ron Howard, also known as Ronny Howard, Ron, Ronnie Howard, Ronald William "Ron" Howard, Ronald William Howard (fb:m.0g2lq): Ronald William "Ron" Howard is an American film director, produc...m. Howard was inducted into the Television Hall of Fame in 2013., has type Film director

Using properties:
Films directed (fb:film.director.film): part of Film director schema, links to type Film
Genres (fb:film.film.genre): links to type Film genre, part of Film schema
Child genres (fb:media_common.media_genre.child_genres): part of Media genre schema, links to type Media genre

Example 3:
Question:
Ron howard directed what movie that was released in the usa?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0g2lq ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0g2lq fb:film.director.film ?x .
  ?x fb:film.film.runtime ?c .
  ?c fb:film.film_cut.film_release_region fb:m.09c7w0 .
}

Using entities:
United States of America, also known as U.S. of A., USA, U.S.A., US, U.S. (fb:m.09c7w0): The United States of America, commonly referred to as the United...s emerged from 13 British colonies located along the East Coast., has type Country
Ron Howard, also known as Ronny Howard, Ron, Ronnie Howard, Ronald William "Ron" Howard, Ronald William Howard (fb:m.0g2lq): Ronald William "Ron" Howard is an American film director, produc...m. Howard was inducted into the Television Hall of Fame in 2013., has type Film director

Using properties:
Films directed (fb:film.director.film): part of Film director schema, links to type Film
Runtime (fb:film.film.runtime): links to type Film cut, part of Film schema
Film release region (fb:film.film_cut.film_release_region): part of Film cut schema, links to type Location

[Assistant]
From the examples, I see that Ron Howard is identified as fb:m.0g2lq in Freebase. The question is about a stop motion movie where Ron Howard did a voice role, so I should look for movies where Ron Howard is a voice actor, and the movie is of the stop motion genre.

Next, I will search for properties related to Ron Howard that might indicate voice acting or acting roles.

[Tool]
Top 10 property alternatives:
1. Recordings (fb:music.artist.track): links to type Musical Recording, part of Musical Artist schema
2. Gender (fb:people.person.gender): part of Person schema, links to type Gender
3. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
4. Languages (fb:people.person.languages): links to type Human Language, part of Person schema
5. Name (fb:type.object.name): part of Object schema, links to type Text
6. Type (fb:type.object.type): part of Object schema, links to type Type
7. Image (fb:common.topic.image): part of Topic schema, links to type Image
8. Key (fb:type.object.key): part of Object schema, links to type Key
9. Description (fb:common.topic.description): part of Topic schema, links to type Text
10. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema

No other items found

[Assistant] There is no direct property related to "voice" or "voice acting" for Ron Howard in the knowledge graph. I will try searching for properties related to acting or roles for Ron Howard.

[Tool]
Top 10 property alternatives:
1. Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
2. Starring TV roles (fb:tv.tv_actor.starring_roles): links to type TV Regular Performance, part of TV Actor schema
3. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
4. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
5. Films appeared in (fb:film.person_or_entity_appearing_in_film.films): part of Person or entity appearing in film schema, links to type Personal film appearance
6. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
7. Profession (fb:people.person.profession): links to type Profession, part of Person schema
8. Film dubbing performances (fb:film.actor.dubbing_performances): links to type Dubbing performance, part of Film actor schema
9. TV regular appearances (fb:tv.tv_personality.tv_regular_appearances): links to type TV regular personal appearance, part of TV Personality schema
10. Films Produced (fb:film.producer.film): part of Film producer schema, links to type Film

No other items found

[Assistant] Ron Howard has a property "Film performances" (fb:film.actor.film) which links to films he acted in. There is also "Film dubbing performances" (fb:film.actor.dubbing_performances) which might be related to voice roles. I will check the films where Ron Howard did dubbing performances.

[Tool]
Got 1 row and 3 columns:
| subject                 | property                                                       | object       |
| ----------------------- | -------------------------------------------------------------- | ------------ |
| Ron Howard (fb:m.0g2lq) | Film dubbing performances (fb:film.actor.dubbing_performances) | fb:m.0z7wfrc |

[Assistant] Ron Howard has a dubbing performance in the film identified as fb:m.0z7wfrc. I will now check the details of this film to see if it is a stop motion movie.

[Tool]
Got 6 rows and 3 columns:
| subject      | property                                          | object                                            |
| ------------ | ------------------------------------------------- | ------------------------------------------------- |
| fb:m.0z7wfrc | Type (fb:type.object.type)                        | Dubbing performance (fb:film.dubbing_performance) |
| fb:m.0z7wfrc | Actor (fb:film.dubbing_performance.actor)         | Ron Howard (fb:m.0g2lq)                           |
| fb:m.0z7wfrc | Film (fb:film.dubbing_performance.film)           | From up on Poppy Hill (fb:m.0gtvclp)              |
| fb:m.0z7wfrc | Language (fb:film.dubbing_performance.language)   | English Language (fb:m.02h40lc)                   |
| fb:m.0z7wfrc | Character (fb:film.dubbing_performance.character) | Philosophy Club President (fb:m.0z7wfrg)          |
| fb:m.0z7wfrc | rdf:type                                          | Dubbing performance (fb:film.dubbing_performance) |

[Assistant] The dubbing performance fb:m.0z7wfrc is for the film "From up on Poppy Hill" (fb:m.0gtvclp). I will now check the genre of this film to see if it is a stop motion movie.

[Tool]
Got 5 rows and 3 columns:
| subject                              | property                    | object                     |
| ------------------------------------ | --------------------------- | -------------------------- |
| From up on Poppy Hill (fb:m.0gtvclp) | Genres (fb:film.film.genre) | Drama (fb:m.02822)         |
| From up on Poppy Hill (fb:m.0gtvclp) | Genres (fb:film.film.genre) | Romance Film (fb:m.02l7c8) |
| From up on Poppy Hill (fb:m.0gtvclp) | Genres (fb:film.film.genre) | Animation (fb:m.0hcr)      |
| From up on Poppy Hill (fb:m.0gtvclp) | Genres (fb:film.film.genre) | Family (fb:m.0hqxf)        |
| From up on Poppy Hill (fb:m.0gtvclp) | Genres (fb:film.film.genre) | Anime (fb:m.0jxy)          |

[Assistant] The film "From up on Poppy Hill" is an animated film but it is not specifically labeled as a stop motion movie. I will now check if there are any other films where Ron Howard did voice acting or dubbing that might be stop motion. I will look for all films where Ron Howard acted and check their genres for stop motion.

[Tool]
Got 29 rows and 3 columns, showing the first 10 rows below:
| subject                 | property                               | object        |
| ----------------------- | -------------------------------------- | ------------- |
| Ron Howard (fb:m.0g2lq) | Film performances (fb:film.actor.film) | fb:m.011lncw2 |
| Ron Howard (fb:m.0g2lq) | Film performances (fb:film.actor.film) | fb:m.03k_qjq  |
| Ron Howard (fb:m.0g2lq) | Film performances (fb:film.actor.film) | fb:m.03l70c7  |
| Ron Howard (fb:m.0g2lq) | Film performances (fb:film.actor.film) | fb:m.04hvctr  |
| Ron Howard (fb:m.0g2lq) | Film performances (fb:film.actor.film) | fb:m.04j34jd  |
| Ron Howard (fb:m.0g2lq) | Film performances (fb:film.actor.film) | fb:m.06z_4g2  |
| Ron Howard (fb:m.0g2lq) | Film performances (fb:film.actor.film) | fb:m.0772sry  |
| Ron Howard (fb:m.0g2lq) | Film performances (fb:film.actor.film) | fb:m.09hzncv  |
| Ron Howard (fb:m.0g2lq) | Film performances (fb:film.actor.film) | fb:m.0b_v1cm  |
| Ron Howard (fb:m.0g2lq) | Film performances (fb:film.actor.film) | fb:m.0c05st8  |
| ...                     | ...                                    | ...           |

[Assistant] Ron Howard has acted in many films. I will now check the genres of these films to find if any of them is a stop motion movie. I will start by checking the genres of the first few films.

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Assistant] The first few films where Ron Howard acted do not have genre information in the knowledge graph. I will try to find films where Ron Howard did voice acting or dubbing and check if any of those are stop motion movies. I will search for films where Ron Howard is an actor and the genre is stop motion.

[Tool]
Top 10 entity alternatives:
1. Stop motion (fb:m.06qln): Stop motion is an animation technique that physically manipulate...tion using objects is sometimes referred to as object animation., has type TV Genre
2. Stop Motion (fb:m.0g1b3qw): has type Musical Release
3. STOP MOTION (fb:m.0fy9hjh): has type Consumer product
4. Stop Motion (fb:m.031fj4w): has type Musical Release
5. STOP MOTION (fb:m.0111q5l0): has type Consumer product
6. STOP MOTION (fb:m.0249yfh): has type Musical Recording
7. STOP MOTION (fb:m.0fy9hkk): has type Musical Recording
8. Stop Motion (fb:m.06z58dg): Location: Indianapolis, Indiana Gloria is racing in the Indy 500... book that holds combinations to all the bank vaults in America., has type TV Episode
9. Stop Motion (fb:m.0xlx2tp): has type Canonical Version
10. Stop Motion (fb:m.0fh7dvc): has type Musical Recording

[Assistant] I found the entity for the stop motion genre: fb:m.06qln. I will now check if any of the films where Ron Howard acted have this genre.

[Tool] Got no rows and 1 columns

[Assistant] There are no films where Ron Howard acted that have the stop motion genre. I will now check if there are any films where Ron Howard did dubbing performances that have the stop motion genre.

[Tool] Got no rows and 1 columns

[Assistant] There are no stop motion films where Ron Howard did dubbing performances either. I will now check if there are any films where Ron Howard did voice acting or acting and the genre is animation (which might include stop motion). Then I will check if any of those films are specifically stop motion.

[Tool] Got no rows and 1 columns

[Assistant] There are no films where Ron Howard acted that have the genre animation either. I will now check if there are any films where Ron Howard did dubbing performances and the genre is animation.

[Tool]
Got 1 row and 1 column:
| film                                 |
| ------------------------------------ |
| From up on Poppy Hill (fb:m.0gtvclp) |

[Assistant]
Ron Howard did a dubbing performance in the animated film "From up on Poppy Hill" (fb:m.0gtvclp), but it is not a stop motion movie. Since there are no stop motion movies where Ron Howard did voice acting or dubbing, I conclude that Ron Howard did not do a voice in any stop motion movie according to the knowledge graph.

I will now provide the final answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The system correctly identified that Ron Howard did not do a voice in any stop motion movie according to the knowledge graph. The SPARQL query is appropriate as it looks for films where Ron Howard has dubbing performances and filters those films by the stop motion genre. Since no results were found, the answer that Ron Howard did not do a voice in any stop motion movie is accurate and complete.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?mascot WHERE {
  fb:m.078bz fb:education.educational_institution.mascot ?mascot .
}
LIMIT 10

The mascot of the organization Syracuse University, which has Eric F. Spina as a leader, is Syracuse University Otto the Orange.

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

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

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

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

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

[User] What is the mascot of the organization with the person named Eric F. Spina?

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

[Tool]
Example 1:
Question:
Where is the headquarters of the organization led by Eric F. Spina?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:organization.organization.leadership ?k .
  ?k fb:organization.leadership.person fb:m.0zsryt0 .
  ?c fb:location.location.containedby ?x .
}

Using entities:
Eric F. Spina (fb:m.0zsryt0): has type Organization leader

Using properties:
Contained by (fb:location.location.containedby): part of Location schema, links to type Location
Person (fb:organization.leadership.person): part of Organization leadership schema, links to type Organization leader
Leadership (fb:organization.organization.leadership): links to type Organization leadership, part of Organization schema

Example 2:
Question:
What is the mascot of the organization led by Larry Baer?

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

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

Using properties:
Person (fb:organization.leadership.person): part of Organization leadership schema, links to type Organization leader
Leadership (fb:organization.organization.leadership): links to type Organization leadership, part of Organization schema
Team Mascot (fb:sports.sports_team.team_mascot): part of Sports Team schema, links to type Mascot

Example 3:
Question:
What is the mascot of the organization that has Ronald Gallagher among its leaders?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:organization.organization.leadership ?k .
  ?k fb:organization.leadership.person fb:m.0h6g_d9 .
  ?c fb:education.educational_institution.mascot ?x .
}

Using entities:
Ronald Gallagher (fb:m.0h6g_d9): has type Organization leader

Using properties:
Mascot (fb:education.educational_institution.mascot): part of Educational Institution schema, links to type School mascot
Person (fb:organization.leadership.person): part of Organization leadership schema, links to type Organization leader
Leadership (fb:organization.organization.leadership): links to type Organization leadership, part of Organization schema

[Assistant]
From the examples, it seems that the person Eric F. Spina is likely an organization leader, and the organization can be found through the property fb:organization.organization.leadership linking to leadership entities, which then link to the person via fb:organization.leadership.person. The mascot property can be different depending on the type of organization: for sports teams, it is fb:sports.sports_team.team_mascot, and for educational institutions, it is fb:education.educational_institution.mascot.

First, I will search for the entity Eric F. Spina in Freebase to get his identifier.

[Tool]
Top 10 entity alternatives:
1. Eric F. Spina (fb:m.0zsryt0): has type Organization leader
2. F. Eric (fb:m.0xd5851): has type Musical Recording
3. F. Eric (fb:m.0xdznb7)
4. Quentin Dupieux, also known as Oizo, Mr., Mr. Oizo, Mr Oizo, Flat Eric (fb:m.01w1b48): Mr. Oizo is the stage name of French electronic musician and fil...d". He is currently signed to Ed Banger Records and Brainfeeder., has type Musical Artist
5. Erik Friedlander, also known as Eric Friedlander, Erik Friendlander, Friedlander, Erik (fb:m.01phpg5): Erik Friedlander is an American cellist and composer based in Ne...torical documentary Kingdom of David: The Saga of the Israelites, has type Musical Artist
6. Eric Fellner, also known as Eric Fellner, CBE (fb:m.02q42j_): Eric Fellner, CBE is an English film producer. He is the co-chairman of the production company "Working Title Films"., has type Film producer
7. Eric F. Wieschaus, also known as Eric Wieschaus (fb:m.05c1rh): Eric Francis Wieschaus is an American developmental biologist an...iggers controlling the normal sequence of embryonic development., has type Academic
8. Eric Flint (fb:m.01v8g_): Eric Flint is an American author, editor, and e-publisher. The m...science fiction, but he also writes humorous fantasy adventures., has type Author
9. Eric Foreman (fb:m.0ckfsw): Eric Foreman, M.D., is a fictional character on the Fox medical drama House. He is portrayed by Omar Epps., has type TV Character
10. Eric Fish, also known as Erik Hecht, Fish, Eric (fb:m.01wd3ls): Eric Fish, is the singer of German Medieval metal band Subway to Sally. He performs also as a solo musical artist., has type Composer

[Assistant] I found the entity Eric F. Spina with the identifier fb:m.0zsryt0, and it has the type Organization leader. Next, I will search for the organizations where Eric F. Spina is a leader using the property fb:organization.organization.leadership. Then I will check for the mascot of that organization.

[Tool]
Got 1 row and 1 column:
| organization                     |
| -------------------------------- |
| Syracuse University (fb:m.078bz) |

[Assistant] Eric F. Spina is a leader of the organization Syracuse University (fb:m.078bz). Now I will check for the mascot of Syracuse University. Since it is an educational institution, I will look for the property fb:education.educational_institution.mascot.

[Tool]
Got 1 row and 1 column:
| mascot                                             |
| -------------------------------------------------- |
| Syracuse University Otto the Orange (fb:m.03c0lxb) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The system correctly identified the organization associated with Eric F. Spina as Syracuse University and retrieved the mascot of that organization. The SPARQL query is appropriate and returns the mascot entity identifier as required. The answer is clear and complete, providing both the name of the organization and its mascot. No further refinement is necessary.


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 ?venue ?venueLabel ?capacity WHERE {
  fb:m.0f2wj fb:travel.travel_destination.tourist_attractions ?venue .
  ?venue fb:architecture.venue.capacity ?capacity .
  OPTIONAL {
    ?venue rdfs:label ?venueLabel FILTER ( lang( ?venueLabel ) = "en" )
  }
}
ORDER BY xsd:integer ( ?capacity )
LIMIT 1

The Hollywood, California venue with the smallest capacity is the TCL Chinese Theatre with a capacity of 1152.

[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 Hollywood, California venue has the smallest capacity?

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

[Tool]
Example 1:
Question:
Which of Chicago's venues has the smallest capacity?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01_d4 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01_d4 fb:travel.travel_destination.tourist_attractions ?x .
  ?x fb:architecture.venue.capacity ?num .
}
ORDER BY xsd:integer ( ?num )
LIMIT 1

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

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

Example 2:
Question:
What venue in Dallas has the smallest capacity?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0f2rq ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0f2rq fb:travel.travel_destination.tourist_attractions ?x .
  ?x fb:architecture.venue.capacity ?num .
}
ORDER BY xsd:integer ( ?num )
LIMIT 1

Using entities:
Dallas, also known as Dallas, Texas, Dallas, TX, Rockwall County / Dallas city (fb:m.0f2rq): Dallas is a major city in Texas and is the largest urban center ...gest in the United States, with a 2013 real GDP of $448 billion., has type City/Town/Village

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

Example 3:
Question:
What is the venue with the smallest capacity that I should visit when I go to Sydney next year?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.06y57 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.06y57 fb:travel.travel_destination.tourist_attractions ?x .
  ?x fb:architecture.venue.capacity ?num .
}
ORDER BY xsd:integer ( ?num )
LIMIT 1

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

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

[Assistant]
From the examples, the approach is to find the entity for Hollywood, California, then find venues (tourist attractions) in that location, and order them by their capacity (fb:architecture.venue.capacity) to get the smallest capacity venue.

Step 1: Find the entity for Hollywood, California.
Step 2: Find venues in Hollywood, California.
Step 3: Find the capacity of these venues.
Step 4: Order by capacity and get the smallest one.

I will start by searching for the entity Hollywood, California.

[Tool]
Top 10 entity alternatives:
1. Hollywood, also known as Hollywood, California, Hollywood, Los Angeles, California (fb:m.0f2wj): Hollywood is a neighborhood in the central region of Los Angeles...tually becoming the most dominant and recognizable in the world., has type Neighborhood
2. Hollywood, California (fb:m.0vyrbr): has type Musical Recording
3. Hollywood, California (fb:m.07lfx5b): has type TV Episode
4. Hollywood, California (fb:m.07lfx0m): has type TV Episode
5. Hollywood, California (fb:m.07lfx2c): has type TV Episode
6. Hollywood, California (fb:m.03q6g5v): has type Artwork
7. Hollywood, California (fb:m.03q6sf7): has type Artwork
8. Hollywood, California (fb:m.0lpljsl)
9. West Hollywood, also known as West Hollywood, California, Los Angeles County / West Hollywood city (fb:m.0r15k): West Hollywood, colloquially referred to as WeHo, is a city in w...ation was 34,399. As of 2013, 39% of its residents were gay men., has type City/Town/Village
10. North Hollywood, also known as North Hollywood, Calif., North Hollywood, California, North Hollywood, Los Angeles, California (fb:m.0284jb): North Hollywood is a neighborhood in the San Fernando Valley reg...llywood by several neighborhoods and the Santa Monica Mountains., has type Statistical region

[Assistant] The entity for Hollywood, California as a neighborhood in Los Angeles is fb:m.0f2wj. Next, I will find venues (tourist attractions) in Hollywood, California (fb:m.0f2wj) and their capacities, then order by capacity to find the smallest one.

[Tool]
Got 1 row and 3 columns:
| venue                             | venueLabel               | capacity |
| --------------------------------- | ------------------------ | -------- |
| TCL Chinese Theatre (fb:m.04n2h_) | TCL Chinese Theatre (en) | 1152     |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies venues in Hollywood, California, retrieves their capacities, and orders them to find the venue with the smallest capacity. The query returns the venue's identifier, label, and capacity as requested. The answer, TCL Chinese Theatre with a capacity of 1152, matches the query result and is relevant to the question. The query follows the rules by returning identifiers and labels optionally. No further refinement is necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?currency WHERE {
  ?country fb:government.governmental_jurisdiction.governing_officials ?position .
  ?position fb:government.government_position_held.office_holder fb:m.09dr2g .
  ?country fb:location.country.currency_used ?currency .
}

The currency used where Artur da Costa e Silva is from is the Brazilian real.

[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 currency is used where Artur da Costa e Silva is from?

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

[Tool]
Example 1:
Question:
What currency is used where Artur da Costa e Silva holds a government 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.09dr2g .
  ?c fb:location.country.currency_used ?x .
}

Using entities:
Artur da Costa e Silva, also known as Costa e Silva (fb:m.09dr2g): Artur da Costa e Silva was a Brazilian Army General, the second ...ssive methods of rule against left-wing parties and individuals., 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
Currency Used (fb:location.country.currency_used): links to type Currency, part of Country schema

Example 2:
Question:
In the country where Artur da Costa e Silva holds official governmental office, what is the primary currency used?

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.09dr2g .
  ?c fb:location.country.currency_used ?x .
}

Using entities:
Artur da Costa e Silva, also known as Costa e Silva (fb:m.09dr2g): Artur da Costa e Silva was a Brazilian Army General, the second ...ssive methods of rule against left-wing parties and individuals., 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
Currency Used (fb:location.country.currency_used): links to type Currency, part of Country schema

Example 3:
Question:
In there area with a government official named Artur da Costa e Silva what is the type of currency used?

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.09dr2g .
  ?c fb:location.country.currency_used ?x .
}

Using entities:
Artur da Costa e Silva, also known as Costa e Silva (fb:m.09dr2g): Artur da Costa e Silva was a Brazilian Army General, the second ...ssive methods of rule against left-wing parties and individuals., 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
Currency Used (fb:location.country.currency_used): links to type Currency, part of Country schema

[Assistant]
From the similar examples, it appears that Artur da Costa e Silva is a politician and we can find the currency used in the country where he holds a government office by linking the government official to the governmental jurisdiction and then to the currency used in that country.

Next, I will search for the entity "Artur da Costa e Silva" in the freebase knowledge graph to get his identifier.

[Tool]
Top 10 entity alternatives:
1. Artur da Costa e Silva, also known as Costa e Silva (fb:m.09dr2g): Artur da Costa e Silva was a Brazilian Army General, the second ...ssive methods of rule against left-wing parties and individuals., has type Politician
2. Artur da Costa e Silva (fb:m.02gkjy2)
3. José da Costa e Silva (fb:m.04cyc2m): José da Costa e Silva was a Portuguese architect. His work helpe...l buildings in Brazilian soil. It was later destroyed in a fire., has type Architect
4. Alberto da Costa e Silva (fb:m.0114dwps): Alberto da Costa e Silva is a Brazilian historian, poet and former diplomat. He won the 2014 Camões Prize., has type Person
5. Diego Martins da Silva, also known as Diego, Diego Martins Costa Silva, Diego Martins da Costa e Silva (fb:m.0bwgcx2): Diego Martins da Costa e Silva, known as simply Diego, is a Portuguese footballer who plays for S.C. Salgueiros 08 as a goalkeeper., has type Football player
6. Lyris Castellani, also known as Liris Cecília da Costa e Silva (fb:m.0rp4mj4): Lyris Castellani is an actress., has type Film actor
7. Tiago Silva, also known as Tiago da Cunha Costa e Silva (fb:m.0x2p709): Tiago Silva is a Portuguese football player., has type Athlete
8. José da Avé-Maria Leite da Costa e Silva (fb:m.0131l227): José da Avé-Maria Leite da Costa e Silva was the 23rd Bishop of ...eneral of the Azores, owing to a lack of nominated titleholders., has type Deceased Person
9. Edmundo Gastão da Costa Ribeiro da Silva (fb:m.0k6fsk6): Edmundo Gastão da Costa Ribeiro da Silva was the husband of Laura Soveral., has type Person
10. Breez Evahflowin, also known as E. Da Silva, Evahflowin, Breez (fb:m.01w97m7): has type Musical Artist

[Assistant] I found the entity for Artur da Costa e Silva with the identifier fb:m.09dr2g. Based on the similar examples, I will now construct a SPARQL query to find the currency used in the country where Artur da Costa e Silva is from by linking the governmental jurisdiction to the currency used.

[Tool]
Got 1 row and 1 column:
| currency                     |
| ---------------------------- |
| Brazilian real (fb:m.03385m) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the country where Artur da Costa e Silva held a government position and retrieves the currency used in that country. The query uses appropriate properties and entities, and the result matches the expected answer, the Brazilian real. The query follows the rules by returning the currency identifier and does not perform any post-processing outside SPARQL. Therefore, the answer is correct and complete.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?founder ?founderName ?position ?positionName WHERE {
  fb:m.0bwfn fb:organization.organization.founders ?founder .
  OPTIONAL {
    ?founder rdfs:label ?founderName
  }
  ?founder fb:government.politician.government_positions_held ?pos .
  ?pos fb:government.government_position_held.office_position_or_title ?position .
  OPTIONAL {
    ?position rdfs:label ?positionName
  }
  FILTER ( CONTAINS( LCASE( STR( ?positionName ) ) , "secretary" ) )
}

Got 17 rows and 4 columns, showing the first 5 and last 5 rows below:
| founder                       | founderName          | position                                             | positionName                                 |
| ----------------------------- | -------------------- | ---------------------------------------------------- | -------------------------------------------- |
| Albert Gallatin (fb:m.01p369) | Albert Gallatin (de) | United States Secretary of the Treasury (fb:m.0bw8r) | United States Secretary of the Treasury (en) |
| Albert Gallatin (fb:m.01p369) | Albert Gallatin (en) | United States Secretary of the Treasury (fb:m.0bw8r) | United States Secretary of the Treasury (en) |
| Albert Gallatin (fb:m.01p369) | Albert Gallatin (es) | United States Secretary of the Treasury (fb:m.0bw8r) | United States Secretary of the Treasury (en) |
| Albert Gallatin (fb:m.01p369) | Albert Gallatin (fr) | United States Secretary of the Treasury (fb:m.0bw8r) | United States Secretary of the Treasury (en) |
| Albert Gallatin (fb:m.01p369) | Albert Gallatin (hu) | United States Secretary of the Treasury (fb:m.0bw8r) | United States Secretary of the Treasury (en) |
| ...                           | ...                  | ...                                                  | ...                                          |
| Albert Gallatin (fb:m.01p369) | ألبرت غلاتين (ar)    | United States Secretary of the Treasury (fb:m.0bw8r) | United States Secretary of the Treasury (en) |
| Albert Gallatin (fb:m.01p369) | 앨버트 갤러틴 (ko)         | United States Secretary of the Treasury (fb:m.0bw8r) | United States Secretary of the Treasury (en) |
| Albert Gallatin (fb:m.01p369) | アルバート・ギャラティン (ja)    | United States Secretary of the Treasury (fb:m.0bw8r) | United States Secretary of the Treasury (en) |
| Albert Gallatin (fb:m.01p369) | 艾伯特·加勒廷 (zh)         | United States Secretary of the Treasury (fb:m.0bw8r) | United States Secretary of the Treasury (en) |
| Albert Gallatin (fb:m.01p369) | 艾伯特·加勒廷 (zh-Hant)    | United States Secretary of the Treasury (fb:m.0bw8r) | United States Secretary of the Treasury (en) |

Albert Gallatin is a founder of New York University and held the position of United States Secretary of the Treasury, a Cabinet Secretary 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 founded new york university and  held the position of Cabinet Secretary?

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

[Tool]
Example 1:
Question:
What universities were attended by the political appointer with the first name Chris that was Secretary of State of New York?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:government.political_appointer.appointees ?k .
  ?k fb:government.government_position_held.office_position_or_title fb:m.026gsd4 .
  ?c fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
}

Using entities:
Secretary of State of New York (fb:m.026gsd4): The Secretary of State of New York is a cabinet officer in the g... The current Secretary of State of New York is Cesar A. Perales., has type Government Agency

Using properties:
Institution (fb:education.education.institution): links to type Educational Institution, part of Education schema
Office, position, or title (fb:government.government_position_held.office_position_or_title): links to type Government Office or Title, part of Government Position Held schema
Appointees (fb:government.political_appointer.appointees): links to type Government Position Held, part of Political Appointer schema
Education (fb:people.person.education): links to type Education, part of Person schema

Example 2:
Question:
Where was the governor's political appointee that had the title Secretary of State of New York born?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:government.political_appointer.appointees ?k .
  ?k fb:government.government_position_held.office_position_or_title fb:m.026gsd4 .
  ?c fb:people.person.place_of_birth ?x .
}

Using entities:
Secretary of State of New York (fb:m.026gsd4): The Secretary of State of New York is a cabinet officer in the g... The current Secretary of State of New York is Cesar A. Perales., has type Government Agency

Using properties:
Office, position, or title (fb:government.government_position_held.office_position_or_title): links to type Government Office or Title, part of Government Position Held schema
Appointees (fb:government.political_appointer.appointees): links to type Government Position Held, part of Political Appointer schema
Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema

Example 3:
Question:
What University launched before 1892 did Chris Cuomo attend?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02pjpd ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02pjpd fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:organization.organization.date_founded ?num .
  FILTER ( ?num < "1892" ^^ xsd:dateTime ) .
}

Using entities:
Andrew Cuomo, also known as Andrew Mark Cuomo, Gov. Andrew Cuomo (fb:m.02pjpd): Andrew Mark Cuomo is an American politician who is the 56th and ...erm as Attorney General of New York in 2006; serving until 2011., has type Politician

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

[Assistant]
The examples did not directly address the question of who founded New York University and held the position of Cabinet Secretary. I will now proceed step-by-step:

1. Search for the entity "New York University" to get its identifier.
2. Search for properties related to "founder" or "founders" of New York University.
3. Search for the entity or entities who are founders of New York University.
4. Check if any of these founders held the position of "Cabinet Secretary" or a similar government position.

Let's start by searching for the entity "New York University".

[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. Next, I will search for properties related to the founder or founding of New York University.

[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. I will now query for the founders of New York University using this property.

[Tool]
Got 23 rows and 2 columns, showing the first 5 and last 5 rows below:
| founder                            | founderName                  |
| ---------------------------------- | ---------------------------- |
| Albert Gallatin (fb:m.01p369)      | Albert Gallatin (de)         |
| Albert Gallatin (fb:m.01p369)      | Albert Gallatin (en)         |
| Albert Gallatin (fb:m.01p369)      | Albert Gallatin (es)         |
| Albert Gallatin (fb:m.01p369)      | Albert Gallatin (fr)         |
| Albert Gallatin (fb:m.01p369)      | Albert Gallatin (hu)         |
| ...                                | ...                          |
| Mordecai Manuel Noah (fb:m.05m665) | Mordecai Manuel Noah (it)    |
| Mordecai Manuel Noah (fb:m.05m665) | Mordecaï Manuel Noah (fr)    |
| Mordecai Manuel Noah (fb:m.05m665) | Mordecai M. Noah (es)        |
| Mordecai Manuel Noah (fb:m.05m665) | Mordechai Immanuel Noah (de) |
| Mordecai Manuel Noah (fb:m.05m665) | מרדכי מנואל נח (iw)          |

[Assistant] The founders of New York University include Albert Gallatin (fb:m.01p369) and Mordecai Manuel Noah (fb:m.05m665), among others. Next, I will check if any of these founders held the position of Cabinet Secretary or a similar government position. I will start by searching for properties related to government positions held by Albert Gallatin.

[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. Key (fb:type.object.key): part of Object schema, links to type Key
4. Image (fb:common.topic.image): part of Topic schema, links to type Image
5. Profession (fb:people.person.profession): links to type Profession, part of Person schema
6. Spouse (or domestic partner) (fb:people.person.spouse_s): links to type Marriage, part of Person schema
7. Party (fb:government.politician.party): links to type Political Party Tenure, part of Politician schema
8. Article (fb:common.topic.article): links to type Document, part of Topic schema
9. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
10. Place of death (fb:people.deceased_person.place_of_death): part of Deceased Person schema, links to type Location

No other items found

[Assistant] The property for government positions held by Albert Gallatin is fb:government.politician.government_positions_held. I will now query for the government positions held by Albert Gallatin.

[Tool]
Got 66 rows and 2 columns, showing the first 5 and last 5 rows below:
| position                                             | positionName                    |
| ---------------------------------------------------- | ------------------------------- |
| United States Senator (fb:m.02_7l8y)                 | ABD Senatörü (tr)               |
| United States Senator (fb:m.02_7l8y)                 | Američki senator (hr)           |
| United States Senator (fb:m.02_7l8y)                 | Amerikansk senator (da)         |
| United States Senator (fb:m.02_7l8y)                 | Amerikansk senator (no)         |
| United States Senator (fb:m.02_7l8y)                 | ASV senators (lv)               |
| ...                                                  | ...                             |
| United States Secretary of the Treasury (fb:m.0bw8r) | מזכיר האוצר של ארצות הברית (iw) |
| United States Secretary of the Treasury (fb:m.0bw8r) | وزير الخزانة الأمريكي (ar)      |
| United States Secretary of the Treasury (fb:m.0bw8r) | アメリカ合衆国財務長官 (ja)                |
| United States Secretary of the Treasury (fb:m.0bw8r) | 美国财政部长 (zh)                     |
| United States Secretary of the Treasury (fb:m.0bw8r) | 美國財政部長 (zh-Hant)                |

[Assistant]
Albert Gallatin held the position of "United States Secretary of the Treasury" (fb:m.0bw8r), which is a Cabinet Secretary position.

I will now finalize the answer: Albert Gallatin founded New York University and held the position of Cabinet Secretary as the United States Secretary of the Treasury.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The system correctly identified Albert Gallatin as a founder of New York University who also held a Cabinet Secretary position, specifically the United States Secretary of the Treasury. The SPARQL query is well-constructed, retrieving founders of New York University and filtering their government positions to those containing 'secretary' in the title. The query returns the expected results with appropriate labels. 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.languages_spoken fb:m.05zjd .
  ?country fb:government.governmental_jurisdiction.government ?gov .
  ?gov fb:government.governmental_jurisdiction.governing_officials ?govPosition .
  ?govPosition fb:government.government_position_held.basic_title fb:m.010pkksv .
  OPTIONAL {
    ?country rdfs:label ?countryLabel FILTER ( lang( ?countryLabel ) = "en" )
  }
}

The knowledge graph does not contain any country that has the political title 'Minister of Women in the Presidency' and where Portuguese is spoken. Therefore, no such country can be identified from the available data.

[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 country has a political title called Minister of Women in the Presidency and they speak portuguese?

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

[Tool]
Example 1:
Question:
What kind of government does the country where they speak Brazilian Portuguese have?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:location.country.languages_spoken fb:m.02zj58 .
  ?c fb:location.country.form_of_government ?x .
}

Using entities:
Brazilian Portuguese (fb:m.02zj58): Brazilian Portuguese is a set of dialects of the Portuguese lang...orm. In Brazil, this reform will be in force as of January 2016., has type Human Language

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

Example 2:
Question:
Which president leads the country with Brazilian Portuguese as the language?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:location.country.languages_spoken fb:m.02zj58 .
  ?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:
Brazilian Portuguese (fb:m.02zj58): Brazilian Portuguese is a set of dialects of the Portuguese lang...orm. In Brazil, this reform will be in force as of January 2016., has type Human Language
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

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

Example 3:
Question:
What language is spoken where the Government of Portugal is located?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:government.governmental_jurisdiction.government fb:m.0bxb7c .
  ?c fb:location.country.official_language ?x .
}

Using entities:
Government of Portugal (fb:m.0bxb7c): The Government of Portugal is one of the four sovereignty bodies...blic, as the Government of Portugal or simply as the Government., has type Government

Using properties:
Government (fb:government.governmental_jurisdiction.government): part of Governmental Jurisdiction schema, links to type Government
Official Language (fb:location.country.official_language): links to type Human Language, part of Country schema

[Assistant]
From the examples, I see that countries can be linked to languages spoken via the property fb:location.country.languages_spoken or fb:location.country.official_language. Also, political titles can be linked to countries through government officials and their positions.

Next, I will search for the political title "Minister of Women in the Presidency" to find its corresponding entity or similar titles in the knowledge graph. This will help me identify the property or entity to use in the query.

[Tool]
Top 10 entity alternatives:
1. Minister of Women in the Presidency (fb:m.010pkksv): has type Government Office or Title
2. Interior ministry, also known as Minister of the Interior (fb:m.01zqgj): An interior ministry is a government ministry typically responsi...ly named government departments may have other responsibilities., has type Government Office or Title
3. In the Land of Women (fb:m.0fjckn): In the Land of Women is a 2007 American drama film directed and ...sdan. The film premiered in the United States on April 20, 2007., has type Film
4. Minister of the Interior, also known as Minister of the Interior and Overseas territories, Minister of the Interior (France) (fb:m.03kcqh): The Minister of the Interior in France is one of the most important French government cabinet positions., has type Government Office or Title
5. Minister of the Interior (fb:m.0gw_ynt)
6. In the Land of Women (fb:m.03ff_yr): has type Consumer product
7. In the Shadow of Women (fb:m.0134d7fk): In the Shadow of Women is a 2015 French-Swiss drama film directe...e Director's Fortnight section at the 2015 Cannes Film Festival.
8. Minister of the Interior (fb:m.049mzbg): has type Consumer product
9. In the Land of Women, also known as In the Land of Women Soundtrack (fb:m.03fy4b0): In the Land of Women is the soundtrack of the film of the same n...2007. Original music for the film was composed by Stephen Trask., has type Soundtrack
10. In the Company of Women (fb:m.01f4kl4): has type Musical Recording

[Assistant]
I found the entity "Minister of Women in the Presidency" with the identifier fb:m.010pkksv, which is a government office or title.

Next, I will search for countries where Portuguese is spoken. I will look for the entity representing the Portuguese language first.

[Tool]
Top 10 entity alternatives:
1. Portuguese Language, also known as Portugese, Português, Portuguese, Portuguese language (fb:m.05zjd): Portuguese is a Romance language and the sole official language ... and is an official language of the European Union and Mercosul., has type Human Language
2. Portuguese food, also known as Portuguese, Portuguese cuisine (fb:m.03pvdc): Despite being relatively restricted to an Atlantic sustenance, P...rlic is widely used, as are herbs such as coriander and parsley., has type Cuisine
3. Portuguese (fb:m.0l1r8v)
4. Portuguese, also known as Portugual (fb:m.079571g): Portuguese cuisine is born from the earth - hearty peasant fare ...mel, rice pudding & the famous custard tarts or pasteis de nata., has type TV Episode
5. Portuguese (fb:m.0fw5tdx): has type Musical Recording
6. Portuguese (fb:m.0f4lbrp): has type Musical Recording
7. Portuguese, also known as The Portuguese, The Land and its People (fb:m.06mxp6k): has type Book
8. Portuguese (fb:m.011jx2df): Portuguese is a fictional character from the 1970 film The Lion Has Seven Heads., has type Film character
9. Portuguese (fb:m.0mg41vd)
10. Portuguese (fb:m.0mrq_x2)

[Assistant]
The entity for the Portuguese language is fb:m.05zjd.

Now, I will construct a SPARQL query to find countries that have Portuguese as a language spoken and have a political title "Minister of Women in the Presidency." I will check if the country has this government office or title.

[Tool] Got no rows and 2 columns

[Assistant]
The query returned no results, which means there might be no direct link between the country and the political title "Minister of Women in the Presidency" using the property fb:government.governmental_jurisdiction.governing_officials.

I will try a different approach by checking if the political title "Minister of Women in the Presidency" is linked to a government or governmental jurisdiction, and then find the country associated with that government. I will also keep the language spoken as Portuguese.

[Tool] Got no rows and 2 columns

[Assistant]
The query still returned no results. It seems the direct link between the political title "Minister of Women in the Presidency" and a country with Portuguese as a spoken language is not straightforward in the knowledge graph.

I will now try to find the country associated with the political title "Minister of Women in the Presidency" by searching for the governmental jurisdiction or government related to this title. Then I will check if the country associated with that government speaks Portuguese.

[Tool] Got no rows and 2 columns

[Assistant]
There are no results linking the political title "Minister of Women in the Presidency" to any government or governmental jurisdiction in the knowledge graph.

Since the direct approach is not yielding results, I will try to find countries that speak Portuguese and then check if they have any government officials with the title "Minister of Women in the Presidency" or a similar title. I will start by listing countries that speak Portuguese.

[Tool]
Got 14 rows and 2 columns, showing the first 5 and last 5 rows below:
| country                        | countryLabel           |
| ------------------------------ | ---------------------- |
| Brazil (fb:m.015fr)            | Brazil (en)            |
| Cape Verde (fb:m.01nqj)        | Cape Verde (en)        |
| Equatorial Guinea (fb:m.02kcz) | Equatorial Guinea (en) |
| Timor-Leste (fb:m.02lx0)       | Timor-Leste (en)       |
| Guyana (fb:m.034m8)            | Guyana (en)            |
| ...                            | ...                    |
| China (fb:m.0d05w3)            | China (en)             |
| Canada (fb:m.0d060g)           | Canada (en)            |
| Andorra (fb:m.0hg5)            | Andorra (en)           |
| South Africa (fb:m.0hzlz)      | South Africa (en)      |
| Angola (fb:m.0j4b)             | Angola (en)            |

[Assistant]
I found 14 countries where Portuguese is spoken, including Brazil, Cape Verde, Equatorial Guinea, Timor-Leste, Guyana, and Angola.

Next, I will check if any of these countries have a government official with the title "Minister of Women in the Presidency." I will do this by querying for government officials with this title in these countries.

[Tool] Got no rows and 2 columns

[Assistant]
There are no results for the political title "Minister of Women in the Presidency" among the sampled Portuguese-speaking countries.

I will now try to find the country associated with the political title "Minister of Women in the Presidency" by searching for the office holders of this title and then find the country they belong to.

[Tool] Got no rows and 4 columns

[Assistant]
There are no results linking the office holders of the political title "Minister of Women in the Presidency" to any country in the knowledge graph.

Given the lack of direct links in the knowledge graph between the political title "Minister of Women in the Presidency" and countries that speak Portuguese, it seems the knowledge graph does not have this specific information.

I will now provide a final response explaining this.

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The system failed to find an answer because it could not find a direct link between the political title 'Minister of Women in the Presidency' and a Portuguese-speaking country. However, this question can be approached by querying for entities with the political title 'Minister of Women in the Presidency' and then checking the country associated with that title, filtering for countries where Portuguese is an official language. The system should attempt to construct a SPARQL query that retrieves countries with that political title and filters by Portuguese language. It should also ensure to return the IRIs of the countries and optionally their labels. The failure to find an answer suggests the query was not attempted or was incomplete. I recommend retrying with a refined SPARQL query that links political titles to countries and filters by language.

[Assistant]
Thank you for the feedback. I will retry with a refined approach.

I will construct a SPARQL query that:
1. Finds countries where Portuguese is an official language.
2. Finds government positions with the title "Minister of Women in the Presidency."
3. Links these government positions to the countries through the government or governmental jurisdiction.
4. Returns the IRIs and optionally the labels of the countries.

I will now build and execute this refined query.

[Tool] Got no rows and 2 columns

[Assistant]
The refined query still returned no results. It seems there is no direct link in the knowledge graph between the political title "Minister of Women in the Presidency" and any country where Portuguese is an official language.

I will now try to relax the query by checking for countries where Portuguese is spoken (not necessarily official language) and the political title exists in the government officials of that country.

[Tool] Got no rows and 2 columns

[Assistant]
Even with the relaxed query, there are no results linking the political title "Minister of Women in the Presidency" to any country where Portuguese is spoken.

Given this, it appears that the knowledge graph does not contain the specific information to answer the question.

I will provide a final answer reflecting this.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The system correctly identified that there is no country in the Freebase knowledge graph that has a political title called 'Minister of Women in the Presidency' and where Portuguese is spoken. The SPARQL query is well-constructed, linking countries to the Portuguese language and checking for the specified political title in their government positions. Since the query returned no results, the answer that no such country can be identified is accurate and complete based on the available data.