PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?city WHERE {
  fb:m.0cns5 fb:travel.tourist_attraction.near_travel_destination ?city .
  ?city fb:location.location.people_born_here ?player .
  ?player fb:type.object.type fb:american_football.football_player .
}

The city near the Grand Canyon where an American football player was born is Phoenix.

[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 city near the Grand Canyon was an American football player born in?

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

[Tool]
Example 1:
Question:
In which city does Carlos Santana live that was also the birthplace of an American football player?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01304j ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01304j fb:people.person.places_lived ?y .
  ?y fb:people.place_lived.location ?x .
  ?x fb:location.location.people_born_here ?c .
  ?c fb:type.object.type fb:american_football.football_player .
}

Using entities:
American football player (fb:american_football.football_player)
Carlos Santana, also known as Santana, Carlos, Santana, Mr. Carlos Santana, Devadip Carlos Santana, C. Santana (fb:m.01304j): Carlos Santana audio is a Mexican and American musician who firs...Time. He has won 10 Grammy Awards and three Latin Grammy Awards., has type Musical Artist

Using properties:
People born here (fb:location.location.people_born_here): part of Location schema, links to type Person
Places lived (fb:people.person.places_lived): links to type Place lived, part of Person schema
Location (fb:people.place_lived.location): part of Place lived schema, links to type Location
Type (fb:type.object.type): part of Object schema, links to type Type

Example 2:
Question:
There was a wide receiver born here and Robin Williams lived here in 2011, can you name the city?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0dzf_ ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0dzf_ fb:people.person.places_lived ?y .
  ?y fb:people.place_lived.location ?x .
  FILTER ( NOT EXISTS {
    ?y fb:people.place_lived.end_date ?sk0
  }
  || EXISTS {
    ?y fb:people.place_lived.end_date ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) >= "2011-01-01" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:people.place_lived.start_date ?sk2
  }
  || EXISTS {
    ?y fb:people.place_lived.start_date ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) <= "2011-12-31" ^^ xsd:dateTime )
  }
  ) ?x fb:location.location.people_born_here ?c .
  ?c fb:american_football.football_player.position_s fb:m.02g_6x .
}

Using entities:
Wide receiver, also known as WR, RE (fb:m.02g_6x): A wide receiver is an offensive position in American and Canadia...ers in the game, and they are frequent highlight-reel favorites., has type Sports position
Robin Williams, also known as Ray D. Tutto, Sudy Nim, Robin Willaims, Robin McLaurin Williams, Robin McLaurim Williams (fb:m.0dzf_): Robin McLaurin Williams was an American actor and comedian. Star...or for his performance as Dr. Sean Maguire in Good Will Hunting., has type Celebrity

Using properties:
Position(s) (fb:american_football.football_player.position_s): part of American football player schema, links to type Sports position
People born here (fb:location.location.people_born_here): part of Location schema, links to type Person
Places lived (fb:people.person.places_lived): links to type Place lived, part of Person schema
End date (fb:people.place_lived.end_date): part of Place lived schema, links to type Date/Time
Location (fb:people.place_lived.location): part of Place lived schema, links to type Location
Start date (fb:people.place_lived.start_date): part of Place lived schema, links to type Date/Time

Example 3:
Question:
Where is the home of both Carlos Santana and the birthplace of a football wide receiver?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01304j ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01304j fb:people.person.places_lived ?y .
  ?y fb:people.place_lived.location ?x .
  ?x fb:location.location.people_born_here ?c .
  ?c fb:american_football.football_player.position_s fb:m.02g_6x .
}

Using entities:
Carlos Santana, also known as Santana, Carlos, Santana, Mr. Carlos Santana, Devadip Carlos Santana, C. Santana (fb:m.01304j): Carlos Santana audio is a Mexican and American musician who firs...Time. He has won 10 Grammy Awards and three Latin Grammy Awards., has type Musical Artist
Wide receiver, also known as WR, RE (fb:m.02g_6x): A wide receiver is an offensive position in American and Canadia...ers in the game, and they are frequent highlight-reel favorites., has type Sports position

Using properties:
Position(s) (fb:american_football.football_player.position_s): part of American football player schema, links to type Sports position
People born here (fb:location.location.people_born_here): part of Location schema, links to type Person
Places lived (fb:people.person.places_lived): links to type Place lived, part of Person schema
Location (fb:people.place_lived.location): part of Place lived schema, links to type Location

[Assistant]
From the examples, I see that the property fb:location.location.people_born_here links a location to people born there, and the type fb:american_football.football_player can be used to identify American football players. Also, the location near the Grand Canyon needs to be identified.

Next, I will search for the entity "Grand Canyon" to get its identifier in the knowledge graph. Then, I will find cities near that location.

[Tool]
Top 10 entity alternatives:
1. Grand Canyon (fb:m.0cns5): The Grand Canyon, is a steep-sided canyon carved by the Colorado...d to erode and form the canyon to its present-day configuration., has type Tourist attraction
2. Grand Canyon (fb:m.07w_vt): Grand Canyon is a 1991 American drama film directed and produced...Big Chill for the '90s", in reference to an earlier Kasdan film., has type Film
3. Grand Canyon Village, also known as Grand Canyon Village, Arizona, Grand Canyon, Coconino County / Grand Canyon Village CDP (fb:m.0qnxr): Grand Canyon Village is a census-designated place located on the...t, designated for its outstanding implementation of town design., has type US Census Designated Place
4. Grand Canyon (fb:m.04f__42): Grand Canyon is a 1958 American short documentary film directed ...tors, no dialogue, and no narration, only musical accompaniment., has type Award-Winning Work
5. Grand Canyon (fb:m.0414t3y): The Grand Canyon is the largest shopping mall in northern Israel...fter sun-down on Saturday out of respect for the Jewish Sabbath., has type Shopping center
6. Grand Canyon (fb:m.034qwgc): has type Consumer product
7. Grand Canyon (fb:m.0tq6g6_): has type Consumer product
8. Giorgio Grand, also known as Double G, George Garvell, Double Gi, Canyon Grand (fb:m.0jzj0t9): Giorgio Grand is a film director and screenwriter., has type Film director
9. Grand Canyon (fb:m.0twg1wk): has type Consumer product
10. The majesty of the Grand Canyon: 150 years in art, also known as 150 years in art, Grand Canyon (fb:m.08ks2q2): has type Book Edition

[Assistant] The Grand Canyon entity is fb:m.0cns5. Now I will search for cities or locations near the Grand Canyon. I will look for locations that have a geographical or proximity relation to the Grand Canyon.

[Tool]
Got 3 rows and 3 columns:
| subject                   | property                                        | object                                  |
| ------------------------- | ----------------------------------------------- | --------------------------------------- |
| Grand Canyon (fb:m.0cns5) | Contained by (fb:location.location.containedby) | United States of America (fb:m.09c7w0)  |
| Grand Canyon (fb:m.0cns5) | Contained by (fb:location.location.containedby) | Arizona (fb:m.0vmt)                     |
| Grand Canyon (fb:m.0cns5) | Contained by (fb:location.location.containedby) | Grand Canyon National Park (fb:m.0cnrr) |

[Assistant] The Grand Canyon is contained by the United States, Arizona, and Grand Canyon National Park. I will now search for cities or towns contained by Arizona or Grand Canyon National Park to find cities near the Grand Canyon.

[Tool]
Got 4 rows and 3 columns:
| subject             | property                                        | object                                         |
| ------------------- | ----------------------------------------------- | ---------------------------------------------- |
| Arizona (fb:m.0vmt) | Contained by (fb:location.location.containedby) | United States of America (fb:m.09c7w0)         |
| Arizona (fb:m.0vmt) | Contained by (fb:location.location.containedby) | Contiguous United States (fb:m.04_1l0v)        |
| Arizona (fb:m.0vmt) | Contained by (fb:location.location.containedby) | United States, with Territories (fb:m.0hzc9m5) |
| Arizona (fb:m.0vmt) | Contained by (fb:location.location.containedby) | Mountain States (fb:m.03pzq_)                  |

[Assistant] There are no cities listed as contained by Arizona directly in this query. I will try to find locations contained by Arizona instead, which may include cities.

[Tool]
Got 3,021 rows and 3 columns, showing the first 10 rows below:
| subject                              | property                                        | object              |
| ------------------------------------ | ----------------------------------------------- | ------------------- |
| Maricopa County (fb:m.0m27n)         | Contained by (fb:location.location.containedby) | Arizona (fb:m.0vmt) |
| Phoenix (fb:m.0d35y)                 | Contained by (fb:location.location.containedby) | Arizona (fb:m.0vmt) |
| Tucson (fb:m.0fr0t)                  | Contained by (fb:location.location.containedby) | Arizona (fb:m.0vmt) |
| University of Arizona (fb:m.07vyf)   | Contained by (fb:location.location.containedby) | Arizona (fb:m.0vmt) |
| Pima County (fb:m.0m2by)             | Contained by (fb:location.location.containedby) | Arizona (fb:m.0vmt) |
| Arizona State University (fb:m.0trv) | Contained by (fb:location.location.containedby) | Arizona (fb:m.0vmt) |
| Coconino County (fb:m.0m24v)         | Contained by (fb:location.location.containedby) | Arizona (fb:m.0vmt) |
| Mesa (fb:m.0qpn9)                    | Contained by (fb:location.location.containedby) | Arizona (fb:m.0vmt) |
| Yavapai County (fb:m.0m2dk)          | Contained by (fb:location.location.containedby) | Arizona (fb:m.0vmt) |
| Apache County (fb:m.0m241)           | Contained by (fb:location.location.containedby) | Arizona (fb:m.0vmt) |
| ...                                  | ...                                             | ...                 |

[Assistant] There are many locations contained by Arizona, including cities like Phoenix, Tucson, Mesa, and counties like Coconino County, Maricopa County. I will check which counties or cities are near the Grand Canyon by checking the counties that contain the Grand Canyon.

[Tool]
Got 3 rows and 3 columns:
| subject                   | property                                        | object                                  |
| ------------------------- | ----------------------------------------------- | --------------------------------------- |
| Grand Canyon (fb:m.0cns5) | Contained by (fb:location.location.containedby) | United States of America (fb:m.09c7w0)  |
| Grand Canyon (fb:m.0cns5) | Contained by (fb:location.location.containedby) | Arizona (fb:m.0vmt)                     |
| Grand Canyon (fb:m.0cns5) | Contained by (fb:location.location.containedby) | Grand Canyon National Park (fb:m.0cnrr) |

[Assistant] The Grand Canyon is contained by Grand Canyon National Park. I will now check what locations are contained by Grand Canyon National Park to find nearby cities or towns.

[Tool]
Got 11 rows and 3 columns, showing the first 10 rows below:
| subject                                              | property                                        | object                                  |
| ---------------------------------------------------- | ----------------------------------------------- | --------------------------------------- |
| Grand Canyon (fb:m.0cns5)                            | Contained by (fb:location.location.containedby) | Grand Canyon National Park (fb:m.0cnrr) |
| Kaibab Plateau (fb:m.09gr39)                         | Contained by (fb:location.location.containedby) | Grand Canyon National Park (fb:m.0cnrr) |
| Desert View Watchtower (fb:m.027nsvt)                | Contained by (fb:location.location.containedby) | Grand Canyon National Park (fb:m.0cnrr) |
| Grand Canyon Lodge (fb:m.03c79gv)                    | Contained by (fb:location.location.containedby) | Grand Canyon National Park (fb:m.0cnrr) |
| Grand Canyon Power House (fb:m.03c7c9m)              | Contained by (fb:location.location.containedby) | Grand Canyon National Park (fb:m.0cnrr) |
| Grand Canyon Park Operations Building (fb:m.03c7ch3) | Contained by (fb:location.location.containedby) | Grand Canyon National Park (fb:m.0cnrr) |
| Vulcan's Throne (fb:m.02r9s5f)                       | Contained by (fb:location.location.containedby) | Grand Canyon National Park (fb:m.0cnrr) |
| Mary Jane Colter buildings (fb:m.03c5svh)            | Contained by (fb:location.location.containedby) | Grand Canyon National Park (fb:m.0cnrr) |
| Hermit's Rest (fb:m.06wp2x)                          | Contained by (fb:location.location.containedby) | Grand Canyon National Park (fb:m.0cnrr) |
| Hopi House (fb:m.03c5tg0)                            | Contained by (fb:location.location.containedby) | Grand Canyon National Park (fb:m.0cnrr) |
| ...                                                  | ...                                             | ...                                     |

[Assistant] There are no cities or towns directly contained by Grand Canyon National Park. I will now try to find cities or towns near the Grand Canyon by checking locations geographically close to the Grand Canyon. I will search for locations with a "near" or "adjacent" type property related to the Grand Canyon.

[Tool]
Top 10 property alternatives:
1. At or near (fb:transportation.road_junction.at_or_near): part of Road junction schema, links to type Location
2. NEAR_TOWN (fb:user.dinesh.default_domain.census_data.near_town): part of Census data schema, links to type Text
3. Nearest location (fb:user.robert.earthquakes.earthquake.nearest_location): links to type Earthquake nearest location, part of Earthquake schema
4. Closest city (fb:skiing.ski_area.closest_city): links to type City/Town/Village, part of Ski Area schema
5. In Range Of (fb:base.vocab.class_specification.in_range_of): links to type Property specification, part of Class specification schema
6. Near travel destination (fb:travel.tourist_attraction.near_travel_destination): part of Tourist attraction schema, links to type Travel destination
7. place (fb:user.amkkouz.default_domain.live_in.place): links to type Location, part of live In schema
8. place (fb:user.basefree.default_domain.myplace.place): part of myplace schema, links to type place
9. Place (fb:base.aubreymaturin.place_mention.place): part of Place mention schema, links to type Place
10. Place (fb:base.horseracing.race_results.place): part of Race results schema, links to type Place

[Assistant] There is a property "Near travel destination" (fb:travel.tourist_attraction.near_travel_destination) which might be used to find locations near the Grand Canyon as a tourist attraction. I will check if the Grand Canyon has any near travel destinations linked with this property.

[Tool]
Got 3 rows and 3 columns:
| subject                   | property                                                                       | object                                  |
| ------------------------- | ------------------------------------------------------------------------------ | --------------------------------------- |
| Grand Canyon (fb:m.0cns5) | Near travel destination (fb:travel.tourist_attraction.near_travel_destination) | Phoenix (fb:m.0d35y)                    |
| Grand Canyon (fb:m.0cns5) | Near travel destination (fb:travel.tourist_attraction.near_travel_destination) | Grand Canyon National Park (fb:m.0cnrr) |
| Grand Canyon (fb:m.0cns5) | Near travel destination (fb:travel.tourist_attraction.near_travel_destination) | Lake Powell (fb:m.01z_xr)               |

[Assistant] The Grand Canyon has near travel destinations including Phoenix, Grand Canyon National Park, and Lake Powell. Phoenix is a city. Now I will find American football players born in Phoenix.

[Tool]
Got 65 rows and 1 column, showing the first 5 and last 5 rows below:
| player                          |
| ------------------------------- |
| Shawn Swayda (fb:m.010f8ths)    |
| Damon Pieri (fb:m.011sn34w)     |
| Mike Hold (fb:m.011x3mgz)       |
| Steve Belles (fb:m.01270j2_)    |
| Carl Johnson (fb:m.012blgy8)    |
| ...                             |
| Marquese Wheaton (fb:m.0kcmv91) |
| Marquis Flowers (fb:m.0pd91qx)  |
| Troy Hawthorne (fb:m.0yvv9q0)   |
| Tyler Bergsten (fb:m.0zbk361)   |
| Patrick Blanar (fb:m.0znznr_)   |

[Assistant] There are American football players born in Phoenix, which is a city near the Grand Canyon. I will now prepare the final SPARQL query that returns cities near the Grand Canyon where American football players were born.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies cities near the Grand Canyon where American football players were born. It uses appropriate properties and types, and the result 'Phoenix' is a valid city near the Grand Canyon. The query returns the city identifier as required, and the answer is accurate and complete. No further refinement is necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?formOfGovernment ?formOfGovernmentLabel WHERE {
  ?country fb:location.country.currency_used fb:m.034n11 .
  ?country fb:location.country.form_of_government ?formOfGovernment .
  ?formOfGovernment rdfs:label ?formOfGovernmentLabel .
  FILTER ( LANG( ?formOfGovernmentLabel ) = 'en' )
}

Got 5 rows and 2 columns:
| formOfGovernment                   | formOfGovernmentLabel     |
| ---------------------------------- | ------------------------- |
| Parliamentary system (fb:m.018wl5) | Parliamentary system (en) |
| Presidential system (fb:m.01d9r3)  | Presidential system (en)  |
| Islamic republic (fb:m.01fgl7)     | Islamic republic (en)     |
| Unitary state (fb:m.01fpfn)        | Unitary state (en)        |
| Theocracy (fb:m.07lg6)             | Theocracy (en)            |

The present form of government in the country with the Iranian Rial as currency includes Parliamentary system, Presidential system, Islamic republic, Unitary state, and Theocracy.

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

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

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

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

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

[User] In the country with the Iranian Rial form of currency, what is the present form of government?

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

[Tool]
Example 1:
Question:
The country with the Iranian Rial currency has what type of government?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:location.country.currency_used fb:m.034n11 .
  ?c fb:location.country.form_of_government ?x .
}

Using entities:
Iranian rial (fb:m.034n11): The Iranian rial is the currency of Iran. Although the “toman” i... U+FDFC ﷼ rial sign. The Iranian rial was devalued in July 2013., has type Currency

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

Example 2:
Question:
What type of political system is used in the country with the currency of Iranian rial?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:location.country.currency_used fb:m.034n11 .
  ?c fb:location.country.form_of_government ?x .
}

Using entities:
Iranian rial (fb:m.034n11): The Iranian rial is the currency of Iran. Although the “toman” i... U+FDFC ﷼ rial sign. The Iranian rial was devalued in July 2013., has type Currency

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

Example 3:
Question:
What form of political system is used in the country with Iranian rial?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:location.country.currency_used fb:m.034n11 .
  ?c fb:location.country.form_of_government ?x .
}

Using entities:
Iranian rial (fb:m.034n11): The Iranian rial is the currency of Iran. Although the “toman” i... U+FDFC ﷼ rial sign. The Iranian rial was devalued in July 2013., has type Currency

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

[Assistant]
From the similar examples, I found that the entity for the Iranian Rial currency is fb:m.034n11. The property for the currency used by a country is fb:location.country.currency_used, and the property for the form of government of a country is fb:location.country.form_of_government.

I will now construct a SPARQL query to find the form of government of the country that uses the Iranian Rial as its currency.

[Tool]
Got 5 rows and 1 column:
| formOfGovernment                   |
| ---------------------------------- |
| Parliamentary system (fb:m.018wl5) |
| Presidential system (fb:m.01d9r3)  |
| Islamic republic (fb:m.01fgl7)     |
| Unitary state (fb:m.01fpfn)        |
| Theocracy (fb:m.07lg6)             |

[Assistant]
The country that uses the Iranian Rial as its currency has multiple forms of government listed: Parliamentary system, Presidential system, Islamic republic, Unitary state, and Theocracy.

I will now enhance the query to also retrieve the labels of these forms of government for better readability.

[Tool]
Got 5 rows and 2 columns:
| formOfGovernment                   | formOfGovernmentLabel     |
| ---------------------------------- | ------------------------- |
| Parliamentary system (fb:m.018wl5) | Parliamentary system (en) |
| Presidential system (fb:m.01d9r3)  | Presidential system (en)  |
| Islamic republic (fb:m.01fgl7)     | Islamic republic (en)     |
| Unitary state (fb:m.01fpfn)        | Unitary state (en)        |
| Theocracy (fb:m.07lg6)             | Theocracy (en)            |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the country using the Iranian Rial as currency and retrieves all forms of government associated with that country. The answer lists all relevant forms of government found in the knowledge graph, which matches the execution result. The query uses appropriate properties and filters for English labels. No further refinement is necessary as the output is complete and accurate.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?cause_of_death WHERE {
  ?actor fb:film.actor.film ?performance .
  ?performance fb:film.performance.character fb:m.0t_b243 .
  ?actor fb:people.deceased_person.cause_of_death ?cause_of_death .
}

Got 2 rows and 1 column:
| cause_of_death                       |
| ------------------------------------ |
| Racing Accident (fb:m.06c7cpj)       |
| Basilar skull fracture (fb:m.07qd_p) |

The causes of death of the actor who played the character NASCAR Driver #2 are Racing Accident and Basilar skull fracture.

[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 causes of death of the actor who played the character NASCAR Driver #2?

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

[Tool]
Example 1:
Question:
What was the cause of death for the actor who played the character "Parking Lot Doctor?"?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:film.actor.film ?k .
  ?k fb:film.performance.character fb:m.0h4_703 .
  ?c fb:people.deceased_person.cause_of_death ?x .
}

Using entities:
Parking Lot Doctor (fb:m.0h4_703): Parking Lot Doctor is a fictional character from the 1976 film The Big Bus., has type Film character

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Character (fb:film.performance.character): part of Film performance schema, links to type Film character
Cause of death (fb:people.deceased_person.cause_of_death): part of Deceased Person schema, links to type Cause Of Death

Example 2:
Question:
What was the cause of death when the actor that played the character "sportin life" died?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:film.actor.film ?k .
  ?k fb:film.performance.character fb:m.02nwkyx .
  ?c fb:people.deceased_person.cause_of_death ?x .
}

Using entities:
Sportin' Life (fb:m.02nwkyx): has type Film character

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Character (fb:film.performance.character): part of Film performance schema, links to type Film character
Cause of death (fb:people.deceased_person.cause_of_death): part of Deceased Person schema, links to type Cause Of Death

Example 3:
Question:
What did the actor that played in the film, Bobby Darin: Mack is Back, die of?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:film.actor.film ?k .
  ?k fb:film.performance.film fb:m.0cs32kc .
  ?c fb:people.deceased_person.cause_of_death ?x .
}

Using entities:
Bobby Darin: Mack is Back (fb:m.0cs32kc): has type Concert Film

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film
Cause of death (fb:people.deceased_person.cause_of_death): part of Deceased Person schema, links to type Cause Of Death

[Assistant]
From the examples, the approach is to find the film performance where the character is "NASCAR Driver #2" and then find the actor who played that character and their cause of death.

Step 1: Search for the entity "NASCAR Driver #2" to get its identifier.

[Tool]
Top 10 entity alternatives:
1. NASCAR Driver #2 (fb:m.0t_b243): NASCAR Driver #2 is a fictional character from the 1983 film Stroker Ace., has type Film character
2. NASCAR Driver (fb:base.nascar.nascar_driver)
3. Driver 2, also known as Driver 2 Advance (fb:m.05pcc3): Driver 2: Back on the Streets is the second installment of the Driver video game series., has type Video game
4. NASCAR Driver (fb:m.04sk2l8)
5. NASCAR Driver (fb:m.0qjt1ht): has type Canonical Version
6. Driver #2 (fb:m.0j1tn10): Driver #2 is a fictional character from the 2010 film A Horrible Way to Die., has type Film character
7. Driver #2 (fb:m.0yfktpf): Driver #2 is a fictional character from the 2012 film Stolen., has type Film character
8. Driver #2 (fb:m.0ysv88x): Driver #2 is a fictional character from the 1977 film Herbie Goes to Monte Carlo., has type Film character
9. Driver #2 (fb:m.0y8b_6s): Driver #2 is a fictional character from the 2012 film Hope Springs., has type Film character
10. Driver #2 (fb:m.011t2c9l): Driver #2 is a fictional character from the 2011 film The Lift., has type Film character

[Assistant] I found the entity NASCAR Driver #2 (fb:m.0t_b243) which is a fictional character from the 1983 film Stroker Ace. Now I will construct a query to find the cause of death of the actor who played this character.

[Tool]
Got 2 rows and 1 column:
| cause_of_death                       |
| ------------------------------------ |
| Racing Accident (fb:m.06c7cpj)       |
| Basilar skull fracture (fb:m.07qd_p) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the actor who played the character NASCAR Driver #2 and retrieves the causes of death associated with that actor. The query uses appropriate properties and entities, and the execution result matches the answer provided. The answer is complete and correctly reflects the data from the knowledge graph. No further refinement is necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?actor WHERE {
  ?actor fb:tv.tv_actor.starring_roles ?role .
  ?role fb:tv.regular_tv_appearance.character fb:m.0j_84dv .
  ?film_performance fb:film.performance.actor ?actor .
  ?film_performance fb:film.performance.film fb:m.027zqx4 .
}

The actor(s) who played the character Barney and also starred in the film Barney Live in New York City are returned by this query.

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

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

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

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

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

[User] Who played as Barney and also starred in the film Barney Live in New York City?

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

[Tool]
Example 1:
Question:
Who was nominated for the Young Hollywood Award for Most Anticipated Tour award for "Barney and Friends"?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:award.award_nominee.award_nominations ?k .
  ?k fb:award.award_nomination.award fb:m.0y54j29 .
  ?c fb:tv.tv_actor.starring_roles ?y .
  ?y fb:tv.regular_tv_appearance.character ?x .
  ?y fb:tv.regular_tv_appearance.seasons fb:m.06xv1n1 .
}

Using entities:
Barney & Friends - Season 7 (fb:m.06xv1n1): has type TV Season
Young Hollywood Award for Most Anticipated Tour (fb:m.0y54j29): This is a list of winners and nominees for the Young Hollywood A... for Most Anticipated Tour, given at the Young Hollywood Awards., has type Award category

Using properties:
Award (fb:award.award_nomination.award): part of Award Nomination schema, links to type Award category
Award Nominations (fb:award.award_nominee.award_nominations): links to type Award Nomination, part of Award Nominee schema
Character (fb:tv.regular_tv_appearance.character): part of TV Regular Performance schema, links to type TV Character
Seasons (fb:tv.regular_tv_appearance.seasons): part of TV Regular Performance schema, links to type TV Season
Starring TV roles (fb:tv.tv_actor.starring_roles): links to type TV Regular Performance, part of TV Actor schema

Example 2:
Question:
Which character in Barney and Friends was played by an actress from Arwin!?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:film.actor.film ?k .
  ?k fb:film.performance.film fb:m.026ykxv .
  ?c fb:tv.tv_actor.starring_roles ?y .
  ?y fb:tv.regular_tv_appearance.character ?x .
  ?y fb:tv.regular_tv_appearance.seasons fb:m.06xv1n1 .
}

Using entities:
Arwin!, also known as Arwin, Housebroken (fb:m.026ykxv): has type TV Program
Barney & Friends - Season 7 (fb:m.06xv1n1): has type TV Season

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film
Character (fb:tv.regular_tv_appearance.character): part of TV Regular Performance schema, links to type TV Character
Seasons (fb:tv.regular_tv_appearance.seasons): part of TV Regular Performance schema, links to type TV Season
Starring TV roles (fb:tv.tv_actor.starring_roles): links to type TV Regular Performance, part of TV Actor schema

Example 3:
Question:
Who was the artist in "Barney and Friends" that recorded "Already Missing You"?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:music.featured_artist.recordings fb:m.0ytsqy1 .
  ?c fb:tv.tv_actor.starring_roles ?y .
  ?y fb:tv.regular_tv_appearance.character ?x .
  ?y fb:tv.regular_tv_appearance.seasons fb:m.06xv1n1 .
}

Using entities:
Barney & Friends - Season 7 (fb:m.06xv1n1): has type TV Season
Already Missing You (fb:m.0ytsqy1): has type Musical Recording

Using properties:
Recordings (fb:music.featured_artist.recordings): links to type Musical Recording, part of Featured artist schema
Character (fb:tv.regular_tv_appearance.character): part of TV Regular Performance schema, links to type TV Character
Seasons (fb:tv.regular_tv_appearance.seasons): part of TV Regular Performance schema, links to type TV Season
Starring TV roles (fb:tv.tv_actor.starring_roles): links to type TV Regular Performance, part of TV Actor schema

[Assistant]
From the examples, it seems we can find the actor who played a character by looking at the property fb:tv.tv_actor.starring_roles and the character they played by fb:tv.regular_tv_appearance.character. We also need to find the actors who starred in the film "Barney Live in New York City."

Step 1: Search for the entity "Barney" to identify the character or show.
Step 2: Search for the entity "Barney Live in New York City" to identify the film.
Step 3: Find actors who played the character Barney.
Step 4: Find actors who starred in the film "Barney Live in New York City."
Step 5: Find the intersection of actors from step 3 and step 4.

I will start by searching for the entity "Barney."

[Tool]
Top 10 entity alternatives:
1. Barney & Friends, also known as Barney, Barney and Friends, Barney & Friends cast (fb:m.01f4yy): Barney & Friends is an American children's television series aim...nce 2009; however, reruns continue to air on the Sprout channel., has type TV Program
2. Bernard Sumner, also known as Sumner, Bernard, Bernard Edward Sumner, Bernard Dickin, Bernard Dicken, Bernard Albrecht (fb:m.01n4zn): Bernard Edward Sumner is an English musician, singer and songwri...ith It", "Get the Message", "Tighten Up", and "Feel Every Beat"., has type Songwriter
3. Mark Greenway, also known as Barney, Rubble, Mark "Barney" Greenway, Greenway, Mark "Barney", Barney Rubble (fb:m.04b6lj): Mark "Barney" Greenway is an English extreme metal vocalist, who...ubble", which changed to "Barney Rubble" and then just "Barney"., has type Musical Artist
4. Barney (fb:m.0hzz8k4): has type Musical Artist
5. Barney Gumble, also known as Barney, Barnard Gumble (fb:m.0h8r9): Barnard "Barney" Gumble is a character on the American animated ...The Simpsons opening credits, passed out under a pile of leaves., has type Fictional Character
6. Barney, also known as Barney, North Dakota, Richland County / Barney city (fb:m.0yqj8): Barney is a city in Richland County, North Dakota, United States...It is part of the Wahpeton, ND–MN Micropolitan Statistical Area., has type City/Town/Village
7. Benjamin Glazer, also known as Benjamin J. Glazer, Benjamin F. Glazer, Barney (fb:m.06dcgp): Benjamin Glazer was a screenwriter, producer, foley artist, and ...ng of My Heart, a highly fictionalized biography of Tchaikovsky., has type Film story contributor
8. Barney, also known as First Dog (fb:m.0834ds): Barney Bush was a Scottish Terrier owned by former U.S. Presiden...n in New Jersey and he was often referred to as the "First Dog.", has type Deceased Organism
9. Giancarlo Carmona, also known as Barney, Giancarlo Carmona Maldonado (fb:m.04y8_z1): Giancarlo Carmona Maldonado is a Peruvian footballer who plays a...ack or winger. He currently plays for Mushuc Runa Sporting Club., has type Football player
10. Barnabás Steinmetz, also known as Barney, Sema, Barnabas Steinmetz (fb:m.091d8x): Barnabás Steinmetz is a Hungarian water polo player who played o...ament in Moscow, Russia. He is currently the player of Vasas SC., has type Olympic athlete

[Assistant] The entity "Barney & Friends" (fb:m.01f4yy) seems to be the relevant TV program related to Barney. Now I will search for the entity "Barney Live in New York City" to identify the film.

[Tool]
Top 10 entity alternatives:
1. Barney Live in New York City (fb:m.027zqx4): Barney Live! In New York City is a Barney & Friends stage show, ... also the largest Barney & Friends stage show, much to its size., has type Film
2. Live in New York City (fb:m.01hmmhy): Live in New York City is a posthumous live album by English rock...official live album, the first being Live Peace in Toronto 1969., has type Musical Album
3. Live in New York City (fb:m.05zk6t): Bruce Springsteen & the E Street Band: Live In New York City is ...000 Reunion Tour, their first concert tour together in 11 years., has type Musical Album
4. Live in New York City, also known as Live in New York City (disc 2) (fb:m.0fyvbrp): has type Musical Release
5. Live in New York City (fb:m.033ws3d): has type Consumer product
6. Live in New York City (fb:m.03_d9kz): has type Consumer product
7. Live in New York City (fb:m.03fmc78): has type Musical Release
8. Live in New York City (fb:m.02q4dvq): Live in New York City is a DVD by British pop singer Natasha Bed... the Nokia Theatre Times Square in New York City on 8 June 2006., has type Musical Album
9. Live in New York City (fb:m.0lhd38h): has type Musical Release
10. Live in New York City (fb:m.0nrpr23): has type Consumer product

[Assistant]
The entity "Barney Live in New York City" (fb:m.027zqx4) is identified as a film/stage show related to Barney & Friends.

Next, I will find actors who played the character Barney in the TV program "Barney & Friends" (fb:m.01f4yy). I will search for properties related to actors or starring roles for this entity.

[Tool]
Top 10 property alternatives:
1. Regular acting performances (fb:tv.tv_program.regular_cast): links to type TV Regular Performance, part of TV Program schema
2. Name (fb:type.object.name): part of Object schema, links to type Text
3. Currently in production (fb:tv.tv_program.currently_in_production): part of TV Program schema, links to type Boolean
4. Genre (fb:tv.tv_program.genre): part of TV Program schema, links to type TV Genre
5. Awards Won (fb:award.award_winning_work.awards_won): part of Award-Winning Work schema, links to type Award Honor
6. Key (fb:type.object.key): part of Object schema, links to type Key
7. Original network (fb:tv.tv_program.original_network): links to type TV Program Duration At Network, part of TV Program schema
8. Type (fb:type.object.type): part of Object schema, links to type Type
9. Seasons (fb:tv.tv_program.seasons): part of TV Program schema, links to type TV Season
10. Country of origin (fb:tv.tv_program.country_of_origin): part of TV Program schema, links to type Country

No other items found

[Assistant] The property "Regular acting performances" (fb:tv.tv_program.regular_cast) seems to link to the regular cast of the TV program Barney & Friends. I will now find the actors who are part of the regular cast of Barney & Friends.

[Tool]
Got 16 rows and 3 columns, showing the first 10 rows below:
| subject                        | property                                                    | object       |
| ------------------------------ | ----------------------------------------------------------- | ------------ |
| Barney & Friends (fb:m.01f4yy) | Regular acting performances (fb:tv.tv_program.regular_cast) | fb:m.0bgyvq1 |
| Barney & Friends (fb:m.01f4yy) | Regular acting performances (fb:tv.tv_program.regular_cast) | fb:m.0bng6c0 |
| Barney & Friends (fb:m.01f4yy) | Regular acting performances (fb:tv.tv_program.regular_cast) | fb:m.0bw2qbm |
| Barney & Friends (fb:m.01f4yy) | Regular acting performances (fb:tv.tv_program.regular_cast) | fb:m.0j_84dr |
| Barney & Friends (fb:m.01f4yy) | Regular acting performances (fb:tv.tv_program.regular_cast) | fb:m.0j_84f_ |
| Barney & Friends (fb:m.01f4yy) | Regular acting performances (fb:tv.tv_program.regular_cast) | fb:m.0j_84f4 |
| Barney & Friends (fb:m.01f4yy) | Regular acting performances (fb:tv.tv_program.regular_cast) | fb:m.0j_84fk |
| Barney & Friends (fb:m.01f4yy) | Regular acting performances (fb:tv.tv_program.regular_cast) | fb:m.0j_84y7 |
| Barney & Friends (fb:m.01f4yy) | Regular acting performances (fb:tv.tv_program.regular_cast) | fb:m.0j_84yf |
| Barney & Friends (fb:m.01f4yy) | Regular acting performances (fb:tv.tv_program.regular_cast) | fb:m.0j_84z_ |
| ...                            | ...                                                         | ...          |

[Assistant] I found several actors who are part of the regular cast of Barney & Friends. Now I will check the characters they played to find the actor who played Barney. I will check the starring roles of one of these actors to see if the character Barney is listed. I will start with the first actor fb:m.0bgyvq1.

[Tool]
Top 10 property alternatives:
1. Character (fb:tv.regular_tv_appearance.character): part of TV Regular Performance schema, links to type TV Character
2. Type (fb:type.object.type): part of Object schema, links to type Type
3. Actor (fb:tv.regular_tv_appearance.actor): part of TV Regular Performance schema, links to type TV Actor
4. Series (fb:tv.regular_tv_appearance.series): part of TV Regular Performance schema, links to type TV Program
5. To (fb:tv.regular_tv_appearance.to): part of TV Regular Performance schema, links to type Date/Time
6. From (fb:tv.regular_tv_appearance.from): part of TV Regular Performance schema, links to type Date/Time
7. Seasons (fb:tv.regular_tv_appearance.seasons): part of TV Regular Performance schema, links to type TV Season

No other items found

[Assistant] The property "Character" (fb:tv.regular_tv_appearance.character) is used to indicate the character played by an actor in a TV regular appearance. I will now query the character played by the actor fb:m.0bgyvq1 in Barney & Friends.

[Tool]
Got 1 row and 3 columns:
| subject      | property                                          | object                |
| ------------ | ------------------------------------------------- | --------------------- |
| fb:m.0bgyvq1 | Character (fb:tv.regular_tv_appearance.character) | Gianna (fb:m.0gx3b6x) |

[Assistant] The actor fb:m.0bgyvq1 played the character "Gianna," not Barney. I will check the character played by the next actor fb:m.0bng6c0.

[Tool]
Got 1 row and 3 columns:
| subject      | property                                          | object                |
| ------------ | ------------------------------------------------- | --------------------- |
| fb:m.0bng6c0 | Character (fb:tv.regular_tv_appearance.character) | Barney (fb:m.0j_84dv) |

[Assistant] The actor fb:m.0bng6c0 played the character Barney. Now I will find the actors who starred in the film "Barney Live in New York City" (fb:m.027zqx4). I will search for properties related to actors or starring roles for this film entity.

[Tool]
Top 10 property alternatives:
1. Directed by (fb:film.film.directed_by): links to type Film director, part of Film schema
2. Name (fb:type.object.name): part of Object schema, links to type Text
3. Performances (fb:film.film.starring): links to type Film performance, part of Film schema
4. Key (fb:type.object.key): part of Object schema, links to type Key
5. Type (fb:type.object.type): part of Object schema, links to type Type
6. Genres (fb:film.film.genre): links to type Film genre, part of Film schema
7. Notable for (fb:common.topic.notable_for): links to type notable_for, part of Topic schema

No other items found

[Assistant] The property "Performances" (fb:film.film.starring) links to film performances for the film "Barney Live in New York City." I will now find the actors who starred in this film.

[Tool]
Got 1 row and 3 columns:
| subject                                     | property                             | object       |
| ------------------------------------------- | ------------------------------------ | ------------ |
| Barney Live in New York City (fb:m.027zqx4) | Performances (fb:film.film.starring) | fb:m.0wc6xg6 |

[Assistant] There is one actor (fb:m.0wc6xg6) who starred in the film "Barney Live in New York City." I will check if this actor is the same as the one who played Barney (fb:m.0bng6c0).

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The current ASK query checks if the entity representing the actor who played Barney is the same as the entity representing the actor who starred in the film Barney Live in New York City, but it incorrectly treats these entities as people rather than as roles or films. Instead, the query should find the actor who played Barney (the character) and separately find the actors who starred in the film 'Barney Live in New York City', then check if there is an overlap. The current query does not retrieve any actors or link the character Barney to an actor, nor does it link the film to its cast. The query should be rewritten to retrieve the actors for both and then find the intersection. Also, the ASK query is not appropriate here because the user asks for the identity of the actor(s), not a yes/no answer. A SELECT query returning the actor(s) who satisfy both conditions is needed.

[Assistant]
Thank you for the feedback. I will rewrite the query to find the actors who played the character Barney and the actors who starred in the film "Barney Live in New York City," then return the actors who satisfy both conditions.

I already have:
- The character Barney (fb:m.0j_84dv)
- The film "Barney Live in New York City" (fb:m.027zqx4)

I will:
1. Find actors who played the character Barney.
2. Find actors who starred in the film "Barney Live in New York City."
3. Return the actors who appear in both sets.

I will now write the SPARQL query to do this.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the actor who played Barney and also starred in the film Barney Live in New York City. It uses appropriate properties to link the actor to the character Barney and to the film. The query returns the actor's identifier as required. The answer is complete and accurate based on the knowledge graph data.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?language WHERE {
  ?location fb:location.location.time_zones fb:m.0y498v7 .
  ?location fb:location.country.languages_spoken ?language .
}

Got 3 rows and 1 column:
| language                        |
| ------------------------------- |
| English Language (fb:m.02h40lc) |
| Esperanto Language (fb:m.02jcw) |
| Lojban (fb:m.04gd7)             |

The languages spoken by residents of the Central Western Time Zone are English, Esperanto, and Lojban.

[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 languiages are spoken by residents of the Central Western Time Zone?

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

[Tool]
Example 1:
Question:
What language is spoken in the Central Western Time Zone?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:location.location.time_zones fb:m.0y498v7 .
  ?c fb:location.country.languages_spoken ?x .
}

Using entities:
Central Western Time Zone (fb:m.0y498v7): has type Time Zone

Using properties:
Languages spoken (fb:location.country.languages_spoken): links to type Human Language, part of Country schema
Time zone(s) (fb:location.location.time_zones): links to type Time Zone, part of Location schema

Example 2:
Question:
What language is spoken in the area in the Central Western Time Zone?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:location.location.time_zones fb:m.0y498v7 .
  ?c fb:location.country.languages_spoken ?x .
}

Using entities:
Central Western Time Zone (fb:m.0y498v7): has type Time Zone

Using properties:
Languages spoken (fb:location.country.languages_spoken): links to type Human Language, part of Country schema
Time zone(s) (fb:location.location.time_zones): links to type Time Zone, part of Location schema

Example 3:
Question:
What languages are spoken by the people in the location where the Central Western Time Zone is used?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:location.location.time_zones fb:m.0y498v7 .
  ?c fb:location.country.languages_spoken ?x .
}

Using entities:
Central Western Time Zone (fb:m.0y498v7): has type Time Zone

Using properties:
Languages spoken (fb:location.country.languages_spoken): links to type Human Language, part of Country schema
Time zone(s) (fb:location.location.time_zones): links to type Time Zone, part of Location schema

[Assistant]
From the similar examples, it appears that the entity for the Central Western Time Zone is fb:m.0y498v7 and the property for languages spoken by countries is fb:location.country.languages_spoken. The property for time zones is fb:location.location.time_zones.

I will now construct a SPARQL query to find the languages spoken by residents of the Central Western Time Zone using these entities and properties.

[Tool]
Got 3 rows and 1 column:
| language                        |
| ------------------------------- |
| English Language (fb:m.02h40lc) |
| Esperanto Language (fb:m.02jcw) |
| Lojban (fb:m.04gd7)             |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves languages spoken by residents of locations in the Central Western Time Zone by linking locations to their countries and then to languages spoken in those countries. The result includes English, Esperanto, and Lojban, which matches the execution result. The query uses appropriate properties and entities and returns the language identifiers as required. The answer is complete and accurate based on the data retrieved.


PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?film WHERE {
  fb:m.0pz91 fb:film.actor.film ?performance .
  ?performance fb:film.performance.film ?film .
  ?film fb:film.film.netflix_id ?netflix_id .
  FILTER ( xsd:integer ( ?netflix_id ) < 70087541 ) .
}

Got 30 rows and 1 column, showing the first 5 and last 5 rows below:
| film                                              |
| ------------------------------------------------- |
| The Hot Chick (fb:m.01h3y_)                       |
| The Waterboy (fb:m.01x_hw)                        |
| Happy Gilmore (fb:m.023vcd)                       |
| The Wedding Singer (fb:m.02bhsc)                  |
| Anger Management (fb:m.02d003)                    |
| ...                                               |
| Going Overboard (fb:m.07ktmd)                     |
| Click (fb:m.087pfc)                               |
| The Longest Yard (fb:m.095z4q)                    |
| Mixed Nuts (fb:m.0d0stl)                          |
| I Now Pronounce You Chuck and Larry (fb:m.0f2sx4) |

Adam Sandler appeared in the following films with a Netflix ID number lower than 70087541: The Hot Chick, The Waterboy, Happy Gilmore, The Wedding Singer, Anger Management, Going Overboard, Click, The Longest Yard, Mixed Nuts, and I Now Pronounce You Chuck and Larry, among others.

[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 films did Adam Sandler appear in that have a Netflix ID number lower than 70087541?

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

[Tool]
Example 1:
Question:
What movies starring Ryan Gosling have a film netflix_id lower than 70058016?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03m6_z ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03m6_z fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:film.film.netflix_id ?num .
  FILTER ( xsd:integer ( ?num ) < 70058016 ) .
}

Using entities:
Ryan Gosling, also known as Trouble, Ryan Thomas Gosling, Ryan Thomas "Baby Goose" Gosling (fb:m.03m6_z): Ryan Thomas Gosling is a Canadian actor, film director, screenwr...rd. Also in 2007, he starred in the courtroom thriller Fracture., has type Celebrity

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Netflix ID (fb:film.film.netflix_id): links to type Enumeration, part of Film schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film

Example 2:
Question:
What movies has Robert Pattinson starred in where the Netflix ID is greater than 70021660?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.062dn7 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.062dn7 fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:film.film.netflix_id ?num .
  FILTER ( xsd:integer ( ?num ) > 70021660 ) .
}

Using entities:
Robert Pattinson, also known as Rob, R.T. Pattinson, R-Pattz, R. Pattinson, Rob Pattinson (fb:m.062dn7): Robert Douglas Thomas Pattinson is an English actor, model, musi...re in David Cronenberg's Cosmopolis, earned him critical praise., has type Celebrity

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Netflix ID (fb:film.film.netflix_id): links to type Enumeration, part of Film schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film

Example 3:
Question:
Which of Matt Bomer's movies have a netflix_id below 70045861?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03pmk3 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03pmk3 fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:film.film.netflix_id ?num .
  FILTER ( xsd:integer ( ?num ) < 70045861 ) .
}

Using entities:
Matt Bomer, also known as Matthew Staton Bomer, Matthew S. Bomer (fb:m.03pmk3): Matthew Staton "Matt" Bomer is an American actor. He made his te...ed to the publicist Simon Halls with whom he has three children., has type TV Actor

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Netflix ID (fb:film.film.netflix_id): links to type Enumeration, part of Film schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film

[Assistant]
From the examples, the pattern to find films an actor appeared in with a Netflix ID lower than a certain number is:

1. Identify the actor entity.
2. Use the property fb:film.actor.film to get film performances.
3. Use fb:film.performance.film to get the films from the performances.
4. Filter films by fb:film.film.netflix_id with the given threshold.

Next, I will search for the entity corresponding to "Adam Sandler" in the freebase knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Adam Sandler, also known as Adam Richard Sandler, Sandman (fb:m.0pz91): Adam Richard Sandler is an American actor, comedian, screenwrite...developed the 2007 television sitcom series Rules of Engagement., has type Celebrity
2. Adam Sandler (fb:m.0ltfz9x): Adam Sandler is a television producer., has type TV Producer
3. Adam Sandler (fb:m.05nfx71): Tonight, Adam Sandler promotes his new movie I Now Pronounce You...rrespondent Aasif Mandvi about this mind boggling contradiction., has type TV Episode
4. Adam Sandler, also known as Show #3034 - Adam Sandler (fb:m.0jln1h1): Adam Sandler is the scheduled guest. Plus, a Holiday Toy Demo!, has type TV Episode
5. Adam Sandler (fb:m.05nfm1c): has type TV Episode
6. Adam Sandler (fb:m.05nf7p4): has type TV Episode
7. Adam Sandler (fb:m.0kb0kd1): Rick Perry draws a blank at the CNBC debate, The Best F#@king Ne... Perry's brain fart, and Adam Sandler dishes on his family life., has type TV Episode
8. Adam Sandler (fb:m.07n5r01): has type TV Episode
9. Adam Sandler (fb:m.07l8vbt): has type TV Episode
10. Adam Sandler (fb:m.0k9_tq9): has type TV Episode

[Assistant] The entity for Adam Sandler as an American actor is fb:m.0pz91. Now I will construct a SPARQL query to find films Adam Sandler appeared in that have a Netflix ID lower than 70087541.

[Tool]
Got 30 rows and 1 column, showing the first 5 and last 5 rows below:
| film                                              |
| ------------------------------------------------- |
| The Hot Chick (fb:m.01h3y_)                       |
| The Waterboy (fb:m.01x_hw)                        |
| Happy Gilmore (fb:m.023vcd)                       |
| The Wedding Singer (fb:m.02bhsc)                  |
| Anger Management (fb:m.02d003)                    |
| ...                                               |
| Going Overboard (fb:m.07ktmd)                     |
| Click (fb:m.087pfc)                               |
| The Longest Yard (fb:m.095z4q)                    |
| Mixed Nuts (fb:m.0d0stl)                          |
| I Now Pronounce You Chuck and Larry (fb:m.0f2sx4) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves films in which Adam Sandler appeared and filters them by Netflix ID less than 70087541. The answer lists relevant films matching the query result. The query uses appropriate properties and entities, and the execution result confirms multiple films were found. The output is complete and accurate for the user's question.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?religion ?religionLabel ?percentage WHERE {
  ?jurisdiction fb:government.governmental_jurisdiction.governing_officials ?position .
  ?position fb:government.government_position_held.governmental_body fb:m.0jxlq .
  ?jurisdiction fb:location.statistical_region.religions ?religionPercentage .
  ?religionPercentage fb:location.religion_percentage.religion ?religion .
  ?religionPercentage fb:location.religion_percentage.percentage ?percentage .
  OPTIONAL {
    ?religion rdfs:label ?religionLabel FILTER ( lang( ?religionLabel ) = "en" )
  }
}
ORDER BY DESC ( ?percentage )
LIMIT 1

The primary religion practiced in the governmental jurisdiction that includes the governmental body Knesset is Judaism, with a percentage of 75.5%.

[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 primary religion practiced in the governmental jurisdiction that includes the governmental body Knesset?

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

[Tool]
Example 1:
Question:
What is the religion associated with the governmental body called Knesset?

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.governmental_body fb:m.0jxlq .
  ?c fb:location.statistical_region.religions ?y .
  ?y fb:location.religion_percentage.religion ?x .
}

Using entities:
Knesset (fb:m.0jxlq): The Knesset is the unicameral national legislature of Israel. As...ent composition. The Knesset is located in Givat Ram, Jerusalem., has type Governmental Body

Using properties:
Governmental body (if position is part of one) (fb:government.government_position_held.governmental_body): part of Government Position Held schema, links to type Governmental Body
Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held
Religion (fb:location.religion_percentage.religion): part of Religion percentage schema, links to type Religion
Religions (fb:location.statistical_region.religions): links to type Religion percentage, part of Statistical region schema

Example 2:
Question:
The most popular religions in the governmental jurisdiction with a governmental body named Knesset are?

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.governmental_body fb:m.0jxlq .
  ?c fb:location.statistical_region.religions ?y .
  ?y fb:location.religion_percentage.religion ?x .
  ?y fb:location.religion_percentage.percentage ?sk0 .
}
ORDER BY DESC ( xsd:float ( ?sk0 ) )
LIMIT 1

Using entities:
Knesset (fb:m.0jxlq): The Knesset is the unicameral national legislature of Israel. As...ent composition. The Knesset is located in Givat Ram, Jerusalem., has type Governmental Body

Using properties:
Governmental body (if position is part of one) (fb:government.government_position_held.governmental_body): part of Government Position Held schema, links to type Governmental Body
Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held
Percent of population (fb:location.religion_percentage.percentage): links to type Floating Point Number, part of Religion percentage schema
Religion (fb:location.religion_percentage.religion): part of Religion percentage schema, links to type Religion
Religions (fb:location.statistical_region.religions): links to type Religion percentage, part of Statistical region schema

Example 3:
Question:
What major religions are practiced in the governmental jurisdiction where the government includes the position Minister of Justice of Israel?

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_position_or_title fb:m.04h0n_q .
  ?c fb:location.statistical_region.religions ?y .
  ?y fb:location.religion_percentage.religion ?x .
}

Using entities:
Minister of Justice of Israel (fb:m.04h0n_q): has type Government Office or Title

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
Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held
Religion (fb:location.religion_percentage.religion): part of Religion percentage schema, links to type Religion
Religions (fb:location.statistical_region.religions): links to type Religion percentage, part of Statistical region schema

[Assistant]
From the examples, it appears that the Knesset is represented by the entity fb:m.0jxlq in Freebase. The governmental jurisdiction that includes the Knesset can be found by looking for a governmental jurisdiction that has governing officials holding positions in the Knesset. Then, the religions practiced in that jurisdiction can be found through the statistical region's religions and their percentages. To find the primary religion, we should order by the percentage in descending order and limit the result to 1.

I will now construct and execute a SPARQL query based on this approach to find the primary religion practiced in the governmental jurisdiction that includes the governmental body Knesset.

[Tool]
Got 1 row and 3 columns:
| religion             | religionLabel | percentage |
| -------------------- | ------------- | ---------- |
| Judaism (fb:m.03_gx) | Judaism (en)  | 75.5       |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the governmental jurisdiction that includes the Knesset by linking the governmental body to its governing officials and then to the jurisdiction. It then retrieves the religion percentages for that jurisdiction and orders them by descending percentage, limiting to the top one. The result correctly shows Judaism as the primary religion with 75.5%. The query follows the rules by returning identifiers and labels optionally, and the answer is accurate and complete based on the data. No further refinement is needed.