PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?county ?name WHERE {
  fb:m.013nm2 fb:location.location.containedby ?county .
  ?county fb:type.object.name ?name .
  FILTER ( CONTAINS( LCASE( ?name ) , "county" ) ) FILTER ( lang( ?name ) = 'en' )
}

Got 2 rows and 2 columns:
| county                      | name                |
| --------------------------- | ------------------- |
| Wise County (fb:m.0mmy6)    | Wise County (en)    |
| Russell County (fb:m.0mn3x) | Russell County (en) |

St. Paul, VA is in Wise County and Russell County.

[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 county is st paul va in?

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

[Tool]
Example 1:
Question:
what county is the city of hampton va in?

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

Using entities:
Hampton, also known as Hampton, Virginia, Hampton, VA, Hampton city / Hampton city, Hampton city (fb:m.0mnsf): Hampton is an independent city in Virginia. As of the 2010 censu...e Center. Hampton features many miles of waterfront and beaches., has type City/Town/Village

Using properties:
Place (fb:location.hud_county_place.place): part of HUD County Place schema, links to type Location

Example 2:
Question:
where was saint paul from?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.060nc ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.060nc fb:people.person.place_of_birth ?x .
}

Using entities:
Paul the Apostle, also known as Paul the apostle, Saint Paul, Saul, Saul of Tarsus, St. Paul (fb:m.060nc): Paul the Apostle, originally known as Saul of Tarsus, was an apo...ately half of the book of Acts deals with Paul's life and works., has type Religious Leader

Using properties:
Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema

Example 3:
Question:
where is mount vernon virginia?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.010m5w ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.010m5w fb:location.location.containedby ?x .
}

Using entities:
Mount Vernon, also known as Fairfax County / Mount Vernon CDP, Mount Vernon Manor, Mount Vernon Manor, Virginia, Mount Vernon, Virginia (fb:m.010m5w): Mount Vernon is a census-designated place and unincorporated com...U.S. Route 1 to the north, and Little Hunting Creek to the east., has type US Census Designated Place

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

[Assistant]
From the similar examples, the approach is to:

1. Identify the entity for "St Paul, VA" in Freebase.
2. Use a property like fb:location.location.containedby or fb:location.hud_county_place.place to find the county it is in.

First, I will search for the entity "St Paul, VA" in Freebase.

[Tool]
Top 10 entity alternatives:
1. St. Paul Vacation, also known as Saint Paul Vacation (fb:m.011f24t): has type Musical Recording
2. St. Paul Vacation (fb:m.0lfkw_b)
3. Paul van der Sterren (fb:m.03c930c): Paul van der Sterren is a Dutch chess grandmaster. He won the Du...lopedia Fundamental Chess Openings, which was published in 2009., has type Chess Player
4. Stellan Olsson, also known as Paul Stellan Valter Olsson (fb:m.0dm3frl): Stellan Olsson is a Swedish film director. In 2012, his film Sve...om 1976 was voted one of the 25 best Swedish films of all times., Stellan Olsson is a film director and screenwriter., has type Film director
5. St. Paul's Hospital, also known as Saint Paul's Hospital, St. Paul's Hospital, Vancouver (fb:m.07s3d02): St. Paul's Hospital is an acute care hospital located in downtow...lso the home of the Pacific Adult Congenital Heart Disease unit., has type Location
6. Vampire (feat. Paul St. Hilaire) (fb:m.0dnzgr2): has type Musical Recording
7. Vampire (feat. Paul St. Hilaire) (fb:m.0fx7ld6): has type Musical Recording
8. St Paul's Pro-Cathedral, Valletta (fb:m.03rrwh3)
9. Vampire (feat. Paul St. Hilaire) (fb:m.0lxdm5v)
10. Vampire (feat. Paul St. Hilaire) (fb:m.0mmy9hp)

[Assistant]
It appears that none of the top results directly match "St Paul, VA" as a city or town entity. The closest matches are musical recordings and unrelated people or places.

To refine the search, I will try "Saint Paul Virginia" to see if the full name yields a better match.

[Tool]
Top 10 entity alternatives:
1. St. Paul, also known as Saint Paul, Saint Paul, Virginia, St. Paul, Virginia (fb:m.013nm2): Saint Paul is a town in Russell and Wise counties in the U.S. state of Virginia. The population was 1,000 at the 2000 census., has type City/Town/Village
2. Saint Paul's College, also known as Saint Paul's College, St. Paul's Normal and Industrial School, St. Paul's College, Virginia, St. Paul's College, Lawrenceville, St. Paul's College (fb:m.06_xqj): Saint Paul's College was a private, historically black college l...3, the board announced the college would close on June 30, 2013., has type College/University
3. St. Paul's Episcopal Church, also known as Saint Paul's Church, St. Paul's Church, Richmond, St. Paul's Church, Saint Paul's Episcopal Church of Richmond, Virginia (fb:m.06_1pzx): St. Paul's Episcopal Church is an historic Episcopal church in R...tional Register of Historic Places in 1969 as St. Paul's Church., has type Place of worship
4. Saint Paul, also known as Saint Paul, Minnesota, St. Paul, St. Paul, Minnesota (fb:m.0b2lw): Saint Paul is the capital and second-most populous city of the U...per Midwest, it is the headquarters of companies such as Ecolab., has type City/Town/Village
5. Paul the Apostle, also known as Paul the apostle, Saint Paul, Saul, Saul of Tarsus, St. Paul (fb:m.060nc): Paul the Apostle, originally known as Saul of Tarsus, was an apo...ately half of the book of Acts deals with Paul's life and works., has type Religious Leader
6. St. Paul, also known as Saint Paul, St. Paul, Alaska, Saint Paul, Alaska, Aleutians West Census Area / St. Paul city (fb:m.0qcpj): St. Paul is a city in Aleutians West Census Area, Alaska, United...a birdwatching haven. The population was 479 at the 2010 census., has type City/Town/Village
7. Saint Paul Parish, also known as Saint Paul, St. Paul Parish, Parish Of Saint Paul (fb:m.03_nmd): Saint Paul is a parish of Antigua and Barbuda on the island of A...lmouth, English Harbour, Mathews, Swetes Village and Pattersons., has type Administrative Division
8. St. Paul, also known as Saint Paul, Oregon, St. Paul, Oregon, Saint Paul, Marion County / St. Paul city (fb:m.0zfdq): St. Paul is a city in Marion County, Oregon, United States. It i...us. The city is part of the Salem Metropolitan Statistical Area., has type City/Town/Village
9. St. Paul, also known as Howard County / St. Paul city, St. Paul, Nebraska, Saint Paul, Nebraska, Saint Paul (fb:m.0x7g2): St. Paul is a city in and the county seat of Howard County, Nebr...art of the Grand Island, Nebraska Micropolitan Statistical Area., has type City/Town/Village
10. St. Paul, also known as St. Paul, Kansas, Saint Paul, Kansas, Saint Paul, Neosho County / St. Paul city (fb:m.0t93q): St. Paul is a city in Neosho County, Kansas, United States. As of the 2010 census, the city population was 629., has type City/Town/Village

[Assistant]
The first result, fb:m.013nm2, is "St. Paul, Virginia", described as a town in Russell and Wise counties in Virginia. This matches our target.

Now, I need to find the property that links a city/town/village to its county. From the similar example, the property fb:location.hud_county_place.place was used for Hampton, VA. Alternatively, fb:location.location.containedby may also be relevant.

I will list the properties for fb:m.013nm2 to see which ones relate to county or administrative division.

[Tool]
Got 188 rows and 3 columns, showing the first 10 rows below:
| subject                | property                                                            | object                                                                   |
| ---------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| St. Paul (fb:m.013nm2) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| St. Paul (fb:m.013nm2) | Key (fb:type.object.key)                                            | /authority/gnis/1473855                                                  |
| St. Paul (fb:m.013nm2) | Name (fb:type.object.name)                                          | St. Paul (ca)                                                            |
| St. Paul (fb:m.013nm2) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ca.wikipedia.org/wiki/index.html?curid=706571>                   |
| St. Paul (fb:m.013nm2) | Notable for (fb:common.topic.notable_for)                           | fb:g.1258vqw4q                                                           |
| St. Paul (fb:m.013nm2) | Notable types (fb:common.topic.notable_types)                       | City/Town/Village (fb:m.01m9)                                            |
| St. Paul (fb:m.013nm2) | Description (fb:common.topic.description)                           | Saint Paul is a town in Russell ...on was 1,000 at the 2000 census. (en) |
| St. Paul (fb:m.013nm2) | Article (fb:common.topic.article)                                   | fb:m.013nm7                                                              |
| St. Paul (fb:m.013nm2) | Also known as (fb:common.topic.alias)                               | Saint Paul (en)                                                          |
| St. Paul (fb:m.013nm2) | Contained by (fb:location.location.containedby)                     | United States of America (fb:m.09c7w0)                                   |
| ...                    | ...                                                                 | ...                                                                      |

[Tool]
Got 4 rows and 3 columns:
| subject                | property                                        | object                                 |
| ---------------------- | ----------------------------------------------- | -------------------------------------- |
| St. Paul (fb:m.013nm2) | Contained by (fb:location.location.containedby) | United States of America (fb:m.09c7w0) |
| St. Paul (fb:m.013nm2) | Contained by (fb:location.location.containedby) | Virginia (fb:m.07z1m)                  |
| St. Paul (fb:m.013nm2) | Contained by (fb:location.location.containedby) | Wise County (fb:m.0mmy6)               |
| St. Paul (fb:m.013nm2) | Contained by (fb:location.location.containedby) | Russell County (fb:m.0mn3x)            |

[Tool] Got no rows and 3 columns

[Assistant]
The property fb:location.location.containedby links St. Paul, VA (fb:m.013nm2) to both Wise County (fb:m.0mmy6) and Russell County (fb:m.0mn3x), as well as to Virginia and the United States. This matches the real-world fact that St. Paul, VA is located in both Wise and Russell counties.

To answer the question, I will write a SPARQL query that returns all counties containing St. Paul, VA, filtering for entities that are of type "County" or have "County" in their label.

First, I will check the type of Wise County and Russell County to see how to filter for counties.

[Tool]
Got 872 rows and 3 columns, showing the first 10 rows below:
| subject                  | property                                                            | object                                                                                |
| ------------------------ | ------------------------------------------------------------------- | ----------------------------------------------------------------------------------------- |
| Wise County (fb:m.0mmy6) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                                   |
| Wise County (fb:m.0mmy6) | Key (fb:type.object.key)                                            | /authority/hud/fmr_id/5119599999                                                          |
| Wise County (fb:m.0mmy6) | Name (fb:type.object.name)                                          | Comté de Wise (fr)                                                                        |
| Wise County (fb:m.0mmy6) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%45%42%27%37%39%29_%48%27%4A%32_(%41%4A%31%2C%4A%46%4A%27)> |
| Wise County (fb:m.0mmy6) | Notable for (fb:common.topic.notable_for)                           | fb:g.12557ct6x                                                                            |
| Wise County (fb:m.0mmy6) | Notable types (fb:common.topic.notable_types)                       | US County (fb:m.0kpym_)                                                                   |
| Wise County (fb:m.0mmy6) | Description (fb:common.topic.description)                           | Comitatul Wise este un comitat d...nia, Statele Unite ale Americii. (ro)                  |
| Wise County (fb:m.0mmy6) | Article (fb:common.topic.article)                                   | fb:m.0mmyd                                                                                |
| Wise County (fb:m.0mmy6) | Contained by (fb:location.location.containedby)                     | United States of America (fb:m.09c7w0)                                                    |
| Wise County (fb:m.0mmy6) | Contains (fb:location.location.contains)                            | Wise (fb:m.010pjp)                                                                        |
| ...                      | ...                                                                 | ...                                                                                |

[Tool]
Got 848 rows and 3 columns, showing the first 10 rows below:
| subject                     | property                                                            | object                                                                                |
| --------------------------- | ------------------------------------------------------------------- | -------------------------------------------------------------------------------------------- |
| Russell County (fb:m.0mn3x) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                                      |
| Russell County (fb:m.0mn3x) | Key (fb:type.object.key)                                            | /authority/hud/fmr_id/5116799999                                                             |
| Russell County (fb:m.0mn3x) | Name (fb:type.object.name)                                          | Comté de Russell (fr)                                                                        |
| Russell County (fb:m.0mn3x) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%45%42%27%37%39%29_%31%48%33%4A%44_(%41%4A%31%2C%4A%46%4A%27)> |
| Russell County (fb:m.0mn3x) | Notable for (fb:common.topic.notable_for)                           | fb:g.125c4l502                                                                               |
| Russell County (fb:m.0mn3x) | Notable types (fb:common.topic.notable_types)                       | US County (fb:m.0kpym_)                                                                      |
| Russell County (fb:m.0mn3x) | Description (fb:common.topic.description)                           | Comitatul Russell este un comita...nia, Statele Unite ale Americii. (ro)                     |
| Russell County (fb:m.0mn3x) | Article (fb:common.topic.article)                                   | fb:m.0mn43                                                                                |
| Russell County (fb:m.0mn3x) | Contained by (fb:location.location.containedby)                     | United States of America (fb:m.09c7w0)                                                       |
| Russell County (fb:m.0mn3x) | Contains (fb:location.location.contains)                            | Lebanon (fb:m.010nz9)                                                                        |
| ...                         | ...                                                                 | ...                                                                                |

[Tool]
Top 10 entity alternatives:
1. US County (fb:location.us_county)
2. U.S. County, also known as Counties of the United States, US County (fb:m.0m4jc): In the United States, a county is a political and geographic sub...quivalents for a total of 3,144 counties and county equivalents., has type Location
3. US County, also known as Alaska Borough, County-equivalent Unit, Louisiana Parish (fb:m.0kpym_): A US County is an administrative division smaller than a state. ...independent cities and Washington, DC, won't have a county seat.
4. US County (fb:m.010ny7f6): Text name of US County
5. US County (fb:m.04nsfyj)
6. US County (fb:base.wikipedia_infobox.school_district.us_county)
7. Usi County (fb:m.027ghcd): Usi County is a kun, or county, in westernmost Chagang Province,...The county's Kaha-ri district is known for its medicinal waters., has type City/Town/Village
8. US county highway, also known as County road, County route (fb:m.05mwlr): A county highway is a road in the United States and in the Canad...en indistinguishable from state highways or residential streets., has type Highway system
9. US County infobox (fb:m.08lrt2j)
10. Harlan County, USA, also known as Eparhia Harlan I.P.A., Harlan County U.S.A., Gruvarbetarna i Harlan County, USA, Föld alatt, föld felett (fb:m.036q95): Harlan County, USA is a 1976 Oscar-winning documentary film cove...ount of the Hormel Foods strike in Austin, Minnesota in 1985-86., has type Award-Winning Work

[Tool]
Got 13 rows and 3 columns, showing the first 10 rows below:
| subject                  | property                   | object                                                          |
| ------------------------ | -------------------------- | --------------------------------------------------------------- |
| Wise County (fb:m.0mmy6) | Type (fb:type.object.type) | Topic (fb:common.topic)                                         |
| Wise County (fb:m.0mmy6) | Type (fb:type.object.type) | Abstract (fb:base.type_ontology.abstract)                       |
| Wise County (fb:m.0mmy6) | Type (fb:type.object.type) | Inanimate (fb:base.type_ontology.inanimate)                     |
| Wise County (fb:m.0mmy6) | Type (fb:type.object.type) | Agent (fb:base.type_ontology.agent)                             |
| Wise County (fb:m.0mmy6) | Type (fb:type.object.type) | Location (fb:location.location)                                 |
| Wise County (fb:m.0mmy6) | Type (fb:type.object.type) | Statistical region (fb:location.statistical_region)             |
| Wise County (fb:m.0mmy6) | Type (fb:type.object.type) | Dated location (fb:location.dated_location)                     |
| Wise County (fb:m.0mmy6) | Type (fb:type.object.type) | HUD Foreclosure Area (fb:location.hud_foreclosure_area)         |
| Wise County (fb:m.0mmy6) | Type (fb:type.object.type) | Administrative Division (fb:location.administrative_division)   |
| Wise County (fb:m.0mmy6) | Type (fb:type.object.type) | Administrative Area (fb:base.aareas.schema.administrative_area) |
| ...                      | ...                        | ...                                                             |

[Tool]
Got 13 rows and 3 columns, showing the first 10 rows below:
| subject                     | property                   | object                                                          |
| --------------------------- | -------------------------- | --------------------------------------------------------------- |
| Russell County (fb:m.0mn3x) | Type (fb:type.object.type) | Topic (fb:common.topic)                                         |
| Russell County (fb:m.0mn3x) | Type (fb:type.object.type) | Abstract (fb:base.type_ontology.abstract)                       |
| Russell County (fb:m.0mn3x) | Type (fb:type.object.type) | Inanimate (fb:base.type_ontology.inanimate)                     |
| Russell County (fb:m.0mn3x) | Type (fb:type.object.type) | Agent (fb:base.type_ontology.agent)                             |
| Russell County (fb:m.0mn3x) | Type (fb:type.object.type) | Location (fb:location.location)                                 |
| Russell County (fb:m.0mn3x) | Type (fb:type.object.type) | Statistical region (fb:location.statistical_region)             |
| Russell County (fb:m.0mn3x) | Type (fb:type.object.type) | Dated location (fb:location.dated_location)                     |
| Russell County (fb:m.0mn3x) | Type (fb:type.object.type) | HUD Foreclosure Area (fb:location.hud_foreclosure_area)         |
| Russell County (fb:m.0mn3x) | Type (fb:type.object.type) | Administrative Division (fb:location.administrative_division)   |
| Russell County (fb:m.0mn3x) | Type (fb:type.object.type) | Administrative Area (fb:base.aareas.schema.administrative_area) |
| ...                         | ...                        | ...                                                             |

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool]
Got 872 rows and 3 columns, showing the first 10 rows below:
| subject                  | property                                                            | object                                                                                |
| ------------------------ | ------------------------------------------------------------------- | ----------------------------------------------------------------------------------------- |
| Wise County (fb:m.0mmy6) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                                   |
| Wise County (fb:m.0mmy6) | Key (fb:type.object.key)                                            | /authority/hud/fmr_id/5119599999                                                          |
| Wise County (fb:m.0mmy6) | Name (fb:type.object.name)                                          | Comté de Wise (fr)                                                                        |
| Wise County (fb:m.0mmy6) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%45%42%27%37%39%29_%48%27%4A%32_(%41%4A%31%2C%4A%46%4A%27)> |
| Wise County (fb:m.0mmy6) | Notable for (fb:common.topic.notable_for)                           | fb:g.12557ct6x                                                                            |
| Wise County (fb:m.0mmy6) | Notable types (fb:common.topic.notable_types)                       | US County (fb:m.0kpym_)                                                                   |
| Wise County (fb:m.0mmy6) | Description (fb:common.topic.description)                           | Comitatul Wise este un comitat d...nia, Statele Unite ale Americii. (ro)                  |
| Wise County (fb:m.0mmy6) | Article (fb:common.topic.article)                                   | fb:m.0mmyd                                                                                |
| Wise County (fb:m.0mmy6) | Contained by (fb:location.location.containedby)                     | United States of America (fb:m.09c7w0)                                                    |
| Wise County (fb:m.0mmy6) | Contains (fb:location.location.contains)                            | Wise (fb:m.010pjp)                                                                        |
| ...                      | ...                                                                 | ...                                                                                |

[Tool]
Got 848 rows and 3 columns, showing the first 10 rows below:
| subject                     | property                                                            | object                                                                                |
| --------------------------- | ------------------------------------------------------------------- | -------------------------------------------------------------------------------------------- |
| Russell County (fb:m.0mn3x) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                                      |
| Russell County (fb:m.0mn3x) | Key (fb:type.object.key)                                            | /authority/hud/fmr_id/5116799999                                                             |
| Russell County (fb:m.0mn3x) | Name (fb:type.object.name)                                          | Comté de Russell (fr)                                                                        |
| Russell County (fb:m.0mn3x) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%45%42%27%37%39%29_%31%48%33%4A%44_(%41%4A%31%2C%4A%46%4A%27)> |
| Russell County (fb:m.0mn3x) | Notable for (fb:common.topic.notable_for)                           | fb:g.125c4l502                                                                               |
| Russell County (fb:m.0mn3x) | Notable types (fb:common.topic.notable_types)                       | US County (fb:m.0kpym_)                                                                      |
| Russell County (fb:m.0mn3x) | Description (fb:common.topic.description)                           | Comitatul Russell este un comita...nia, Statele Unite ale Americii. (ro)                     |
| Russell County (fb:m.0mn3x) | Article (fb:common.topic.article)                                   | fb:m.0mn43                                                                                |
| Russell County (fb:m.0mn3x) | Contained by (fb:location.location.containedby)                     | United States of America (fb:m.09c7w0)                                                       |
| Russell County (fb:m.0mn3x) | Contains (fb:location.location.contains)                            | Lebanon (fb:m.010nz9)                                                                        |
| ...                         | ...                                                                 | ...                                                                                |

[Tool]
Got 20 rows and 3 columns, showing the first 10 rows below:
| subject                  | property                   | object                   |
| ------------------------ | -------------------------- | ------------------------ |
| Wise County (fb:m.0mmy6) | Name (fb:type.object.name) | Comté de Wise (fr)       |
| Wise County (fb:m.0mmy6) | Name (fb:type.object.name) | Condado de Wise (es)     |
| Wise County (fb:m.0mmy6) | Name (fb:type.object.name) | Condado de Wise (pt)     |
| Wise County (fb:m.0mmy6) | Name (fb:type.object.name) | Contea di Wise (it)      |
| Wise County (fb:m.0mmy6) | Name (fb:type.object.name) | Hrabstwo Wise (pl)       |
| Wise County (fb:m.0mmy6) | Name (fb:type.object.name) | Quận Wise, Virginia (vi) |
| Wise County (fb:m.0mmy6) | Name (fb:type.object.name) | Wise County (de)         |
| Wise County (fb:m.0mmy6) | Name (fb:type.object.name) | Wise County (en)         |
| Wise County (fb:m.0mmy6) | Name (fb:type.object.name) | Wise County (nl)         |
| Wise County (fb:m.0mmy6) | Name (fb:type.object.name) | Wise County (no)         |
| ...                      | ...                        | ...                      |

[Tool]
Got 18 rows and 3 columns, showing the first 10 rows below:
| subject                     | property                   | object                        |
| --------------------------- | -------------------------- | ----------------------------- |
| Russell County (fb:m.0mn3x) | Name (fb:type.object.name) | Comté de Russell (fr)         |
| Russell County (fb:m.0mn3x) | Name (fb:type.object.name) | Condado de Russell (es)       |
| Russell County (fb:m.0mn3x) | Name (fb:type.object.name) | Condado de Russell (pt)       |
| Russell County (fb:m.0mn3x) | Name (fb:type.object.name) | Contea di Russell (it)        |
| Russell County (fb:m.0mn3x) | Name (fb:type.object.name) | Hrabstwo Russell (pl)         |
| Russell County (fb:m.0mn3x) | Name (fb:type.object.name) | Russell County (de)           |
| Russell County (fb:m.0mn3x) | Name (fb:type.object.name) | Russell County (en)           |
| Russell County (fb:m.0mn3x) | Name (fb:type.object.name) | Russell County (nl)           |
| Russell County (fb:m.0mn3x) | Name (fb:type.object.name) | Russell County, Virginia (sv) |
| Russell County (fb:m.0mn3x) | Name (fb:type.object.name) | Russell fylke (no)            |
| ...                         | ...                        | ...                           |

[Tool]
Got 2 rows and 1 column:
| county                      |
| --------------------------- |
| Wise County (fb:m.0mmy6)    |
| Russell County (fb:m.0mn3x) |

[Tool]
Got 2 rows and 2 columns:
| county                      | name                |
| --------------------------- | ------------------- |
| Wise County (fb:m.0mmy6)    | Wise County (en)    |
| Russell County (fb:m.0mn3x) | Russell County (en) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?character ?characterLabel WHERE {
  fb:m.019nnl fb:tv.tv_program.regular_cast ?appearance .
  ?appearance fb:tv.regular_tv_appearance.actor fb:m.023v4_ .
  ?appearance fb:tv.regular_tv_appearance.character ?character .
  OPTIONAL {
    ?character rdfs:label ?characterLabel
  }
}

Got 26 rows and 2 columns, showing the first 5 and last 5 rows below:
| character                 | characterLabel     |
| ------------------------- | ------------------ |
| Meg Griffin (fb:m.035szd) | Megan Griffin (no) |
| Meg Griffin (fb:m.035szd) | Meg Griffin (cs)   |
| Meg Griffin (fb:m.035szd) | Meg Griffin (da)   |
| Meg Griffin (fb:m.035szd) | Meg Griffin (de)   |
| Meg Griffin (fb:m.035szd) | Meg Griffin (en)   |
| ...                       | ...                |
| Meg Griffin (fb:m.035szd) | Меґ Ґріффін (uk)   |
| Meg Griffin (fb:m.035szd) | מג גריפין (iw)     |
| Meg Griffin (fb:m.035szd) | مگ گریفن (fa)      |
| Meg Griffin (fb:m.035szd) | 梅格·格里芬 (zh)        |
| Meg Griffin (fb:m.035szd) | 梅格·格里芬 (zh-Hant)   |

Mila Kunis plays Meg Griffin on Family Guy. (IRI: fb:m.035szd)

[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 does mila kunis play on family guy?

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

[Tool]
Example 1:
Question:
what character does mila kunis play on family guy?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.019nnl ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.019nnl fb:tv.tv_program.regular_cast ?y .
  ?y fb:tv.regular_tv_appearance.character ?x .
  ?y fb:tv.regular_tv_appearance.actor fb:m.023v4_ .
}

Using entities:
Family Guy, also known as I Griffin (fb:m.019nnl): Family Guy is an American adult animated sitcom created by Seth ... in 2004 for a fourth season, which began airing on May 1, 2005., has type TV Program
Mila Kunis, also known as Goldfish, Mila, Mila Kunas, Milena Markovna Kunis, Milena "Mila" Markovna Kunis (fb:m.023v4_): Milena Markovna "Mila" Kunis is an American actress. In 1991, at...eodora, in the fantasy adventure film Oz the Great and Powerful., has type Celebrity

Using properties:
Actor (fb:tv.regular_tv_appearance.actor): part of TV Regular Performance schema, links to type TV Actor
Character (fb:tv.regular_tv_appearance.character): part of TV Regular Performance schema, links to type TV Character
Regular acting performances (fb:tv.tv_program.regular_cast): links to type TV Regular Performance, part of TV Program schema

Example 2:
Question:
who plays lois in family guy?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.019nnl ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.019nnl fb:tv.tv_program.regular_cast ?y .
  ?y fb:tv.regular_tv_appearance.actor ?x .
  ?y fb:tv.regular_tv_appearance.character fb:m.03pcqz .
}

Using entities:
Family Guy, also known as I Griffin (fb:m.019nnl): Family Guy is an American adult animated sitcom created by Seth ... in 2004 for a fourth season, which began airing on May 1, 2005., has type TV Program
Lois Griffin, also known as Lois Griffin as Princess Leia, Lois Pewterschmidt (fb:m.03pcqz): Lois Patrice Griffin is a main character from the animated telev...ommercials and books—and inspired an entire line of merchandise., has type TV Character

Using properties:
Actor (fb:tv.regular_tv_appearance.actor): part of TV Regular Performance schema, links to type TV Actor
Character (fb:tv.regular_tv_appearance.character): part of TV Regular Performance schema, links to type TV Character
Regular acting performances (fb:tv.tv_program.regular_cast): links to type TV Regular Performance, part of TV Program schema

Example 3:
Question:
who plays lois griffin in family guy?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.019nnl ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.019nnl fb:tv.tv_program.regular_cast ?y .
  ?y fb:tv.regular_tv_appearance.actor ?x .
  ?y fb:tv.regular_tv_appearance.character fb:m.03pcqz .
}

Using entities:
Family Guy, also known as I Griffin (fb:m.019nnl): Family Guy is an American adult animated sitcom created by Seth ... in 2004 for a fourth season, which began airing on May 1, 2005., has type TV Program
Lois Griffin, also known as Lois Griffin as Princess Leia, Lois Pewterschmidt (fb:m.03pcqz): Lois Patrice Griffin is a main character from the animated telev...ommercials and books—and inspired an entire line of merchandise., has type TV Character

Using properties:
Actor (fb:tv.regular_tv_appearance.actor): part of TV Regular Performance schema, links to type TV Actor
Character (fb:tv.regular_tv_appearance.character): part of TV Regular Performance schema, links to type TV Character
Regular acting performances (fb:tv.tv_program.regular_cast): links to type TV Regular Performance, part of TV Program schema

[Assistant]
The first example is almost exactly your question, and provides a SPARQL query that finds the character Mila Kunis plays on Family Guy. The query uses the following entities and properties:

- Family Guy: fb:m.019nnl
- Mila Kunis: fb:m.023v4_
- Regular cast: fb:tv.tv_program.regular_cast
- Actor: fb:tv.regular_tv_appearance.actor
- Character: fb:tv.regular_tv_appearance.character

The query structure is:
1. Get all regular cast appearances for Family Guy.
2. Filter to those where the actor is Mila Kunis.
3. Return the character(s) associated with those appearances.

I will use this query, and add an OPTIONAL clause to get the character label as well.

[Tool]
Got 26 rows and 2 columns, showing the first 5 and last 5 rows below:
| character                 | characterLabel     |
| ------------------------- | ------------------ |
| Meg Griffin (fb:m.035szd) | Megan Griffin (no) |
| Meg Griffin (fb:m.035szd) | Meg Griffin (cs)   |
| Meg Griffin (fb:m.035szd) | Meg Griffin (da)   |
| Meg Griffin (fb:m.035szd) | Meg Griffin (de)   |
| Meg Griffin (fb:m.035szd) | Meg Griffin (en)   |
| ...                       | ...                |
| Meg Griffin (fb:m.035szd) | Меґ Ґріффін (uk)   |
| Meg Griffin (fb:m.035szd) | מג גריפין (iw)     |
| Meg Griffin (fb:m.035szd) | مگ گریفن (fa)      |
| Meg Griffin (fb:m.035szd) | 梅格·格里芬 (zh)        |
| Meg Griffin (fb:m.035szd) | 梅格·格里芬 (zh-Hant)   |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?creator ?label WHERE {
  fb:m.057ph fb:fictional_universe.fictional_character.character_created_by ?creator .
  OPTIONAL {
    ?creator rdfs:label ?label .
    FILTER ( lang( ?label ) = 'en' )
  }
}

Got 2 rows and 2 columns:
| creator                  | label            |
| ------------------------ | ---------------- |
| Walt Disney (fb:m.081nh) | Walt Disney (en) |
| Ub Iwerks (fb:m.0f2ml)   | Ub Iwerks (en)   |

The artists (creators) of Mickey Mouse are Walt Disney and Ub Iwerks.

[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 was the artist of mickey mouse?

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

[Tool]
Example 1:
Question:
what was walt disney's first cartoon called?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.09b3v ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.09b3v fb:media_common.netflix_genre.titles ?x .
  ?x fb:tv.tv_program.air_date_of_first_episode ?sk0 .
}
ORDER BY xsd:datetime ( ?sk0 )
LIMIT 1

Using entities:
The Walt Disney Company, also known as Walt Disney Productions, WALT DISNEY CO/, WALT DISNEY CO, Disney Enterprises, Inc., Disney Co/ Walt (fb:m.09b3v): The Walt Disney Company, commonly known as Disney, is an America...ay one of the largest and best-known studios in American cinema., has type Production company

Using properties:
Titles (fb:media_common.netflix_genre.titles): part of Netflix Genre schema, links to type Netflix Title
Air date of first episode (fb:tv.tv_program.air_date_of_first_episode): part of TV Program schema, links to type Date/Time

Example 2:
Question:
what style of art is salvador dali?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.09_xn ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.09_xn fb:visual_art.visual_artist.art_forms ?x .
}

Using entities:
Salvador Domingo Felipe Jacinto Dalí i Domènech, also known as Salvador Dali, Salvador Dalí, Salvador Domènec Felipe Jacinto Dalí i Domènech, Salvador Domingo Felipe Jacinto Dalí i Domènech, Salvador Felipe Jacinto Dalí y Domenech (fb:m.09_xn): Salvador Domingo Felipe Jacinto Dalí i Domènech, Marqués de Dalí...d his work in high esteem, and to the irritation of his critics., has type Visual Artist

Using properties:
Art Forms (fb:visual_art.visual_artist.art_forms): links to type Visual Art Form, part of Visual Artist schema

Example 3:
Question:
who played mickey on days of our lives?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0f778b ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0f778b fb:tv.tv_character.appeared_in_tv_program ?y .
  ?y fb:tv.regular_tv_appearance.actor ?x .
}

Using entities:
Mickey Horton (fb:m.0f778b): Michael "Mickey" Horton is a fictional character on the soap ope.... He was also played by Kevin Dobson for a few episodes in 2008., has type TV Character

Using properties:
Actor (fb:tv.regular_tv_appearance.actor): part of TV Regular Performance schema, links to type TV Actor
Programs in which this was a regular character (fb:tv.tv_character.appeared_in_tv_program): links to type TV Regular Performance, part of TV Character schema

[Assistant]
From the similar examples, I see that the entity for Mickey Mouse is likely needed, and we want to find the artist (creator or illustrator) associated with it. The Salvador Dali example uses the property fb:visual_art.visual_artist.art_forms, but that's for art style, not artist.

Step 1: Identify the entity for "Mickey Mouse".

I'll search for "Mickey Mouse" in Freebase.

[Tool]
Top 10 entity alternatives:
1. Walt Disney, also known as Walter Elias "Walt" Disney, Walter Elias Disney, Walter Disney, Mr. Disney, Uncle Walt (fb:m.081nh): Walter Elias "Walt" Disney was an American entrepreneur, cartoon...car awards and nominations than any other individual in history., has type Author
2. Mickey Mouse, also known as Prince Mickey, Mr. Mouse, King Mickey Mouse, Mikki Hiiri, Bob Cratchit (fb:m.057ph): Mickey Mouse is a funny animal cartoon character and the officia...r strip, drawn primarily by Floyd Gottfredson, ran for 45 years., Mickey Mouse is a fictional character from the 1990 film The Prince and the Pauper., has type Film character
3. Mickey Mouse, also known as Mickey Mouse film series (fb:m.0j24srv): Mickey Mouse is a character-based series of animated short films...lude several Silly Symphonies, Don Donald, and Goofy and Wilbur., has type Award-Winning Work
4. Mickey Mouse (fb:m.0rpgqhb): Mickey Mouse is an American animated comedy television series pr...followed by the releases on Disney.com and Watch Disney Channel., Mickey Mouse is an animated TV program., has type Award-Winning Work
5. Mickey Mouse (fb:m.0dqtc9x): has type Musical Artist
6. Mickey Mouse and Friends, also known as Mickey Mouse (fb:m.02pwjrg): Mickey Mouse is a comic book series that has a long-running hist...ok artist Paul Murry, who drew Mickey stories from 1950 to 1984., has type Comic Book Series
7. Mickey Mouse (fb:m.01df3pb): has type Musical Recording
8. Mickey Mouse (fb:m.0fx7t5b): has type Musical Recording
9. Mickey mouse (fb:m.08cs73w): has type Book Edition
10. Mickey Mouse (fb:m.0f3twd4): has type Musical Recording

[Assistant]
The most relevant entity for the character "Mickey Mouse" is fb:m.057ph. Now, I need to find the property that links this character to its artist (creator or illustrator).

Step 2: Search for properties related to "artist", "creator", or "illustrator" for the entity fb:m.057ph.

[Tool]
Top 10 property alternatives:
1. Image (fb:common.topic.image): part of Topic schema, links to type Image
2. Occupation (fb:fictional_universe.fictional_character.occupation): part of Fictional Character schema, links to type Character Occupation
3. Name (fb:type.object.name): part of Object schema, links to type Text
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. Description (fb:common.topic.description): part of Topic schema, links to type Text
7. Character Created By (fb:fictional_universe.fictional_character.character_created_by): links to type Fictional Character Creator, part of Fictional Character schema
8. Species (fb:fictional_universe.fictional_character.species): part of Fictional Character schema, links to type Character Species
9. Official website (fb:common.topic.official_website): part of Topic schema, links to type URI
10. Impersonated by (fb:base.americancomedy.impersonated_celebrity.impersonated_by): links to type Celebrity impressionist, part of Impersonated celebrity schema

No other items found

[Tool]
Top 10 property alternatives:
1. Character Created By (fb:fictional_universe.fictional_character.character_created_by): links to type Fictional Character Creator, part of Fictional Character schema
2. Occupation (fb:fictional_universe.fictional_character.occupation): part of Fictional Character schema, links to type Character Occupation
3. Name (fb:type.object.name): part of Object schema, links to type Text
4. Named after (fb:symbols.namesake.named_after): links to type Name source, part of Namesake schema
5. Species (fb:fictional_universe.fictional_character.species): part of Fictional Character schema, links to type Character Species
6. Type (fb:type.object.type): part of Object schema, links to type Type
7. Gender (fb:fictional_universe.fictional_character.gender): part of Fictional Character schema, links to type Character Gender
8. Image (fb:common.topic.image): part of Topic schema, links to type Image
9. Description (fb:common.topic.description): part of Topic schema, links to type Text
10. Impersonated by (fb:base.americancomedy.impersonated_celebrity.impersonated_by): links to type Celebrity impressionist, part of Impersonated celebrity schema

No other items found

[Tool]
Top 10 property alternatives:
1. Image (fb:common.topic.image): part of Topic schema, links to type Image
2. Character Created By (fb:fictional_universe.fictional_character.character_created_by): links to type Fictional Character Creator, part of Fictional Character schema
3. Type (fb:type.object.type): part of Object schema, links to type Type
4. Occupation (fb:fictional_universe.fictional_character.occupation): part of Fictional Character schema, links to type Character Occupation
5. Disney products based on this theme (fb:base.disneyana.disney_product_theme.disney_products_based_on_this_theme): part of Disney Product Theme schema, links to type Disney Product
6. Species (fb:fictional_universe.fictional_character.species): part of Fictional Character schema, links to type Character Species
7. Description (fb:common.topic.description): part of Topic schema, links to type Text
8. Web Link(s) (fb:common.topic.webpage): links to type Webpage, part of Topic schema
9. Gender (fb:fictional_universe.fictional_character.gender): part of Fictional Character schema, links to type Character Gender
10. Name (fb:type.object.name): part of Object schema, links to type Text

No other items found

[Tool]
Got 2 rows and 3 columns:
| subject                   | property                                                                              | object                   |
| ------------------------- | ------------------------------------------------------------------------------------- | ------------------------ |
| Mickey Mouse (fb:m.057ph) | Character Created By (fb:fictional_universe.fictional_character.character_created_by) | Walt Disney (fb:m.081nh) |
| Mickey Mouse (fb:m.057ph) | Character Created By (fb:fictional_universe.fictional_character.character_created_by) | Ub Iwerks (fb:m.0f2ml)   |

[Tool]
Got 2 rows and 1 column:
| creator                  |
| ------------------------ |
| Walt Disney (fb:m.081nh) |
| Ub Iwerks (fb:m.0f2ml)   |

[Tool]
Got 65 rows and 2 columns, showing the first 5 and last 5 rows below:
| creator                  | creatorLabel         |
| ------------------------ | -------------------- |
| Walt Disney (fb:m.081nh) | Voltas Disnėjus (lt) |
| Walt Disney (fb:m.081nh) | Volts Disnejs (lv)   |
| Walt Disney (fb:m.081nh) | Walt Disney (ca)     |
| Walt Disney (fb:m.081nh) | Walt Disney (cs)     |
| Walt Disney (fb:m.081nh) | Walt Disney (da)     |
| ...                      | ...                  |
| Ub Iwerks (fb:m.0f2ml)   | أب أيوركس (ar)       |
| Ub Iwerks (fb:m.0f2ml)   | 어브 아이웍스 (ko)         |
| Ub Iwerks (fb:m.0f2ml)   | アブ・アイワークス (ja)       |
| Ub Iwerks (fb:m.0f2ml)   | 乌布·伊沃克斯 (zh)         |
| Ub Iwerks (fb:m.0f2ml)   | 烏布·伊沃克斯 (zh-Hant)    |

[Tool]
Got 2 rows and 2 columns:
| creator                  | label            |
| ------------------------ | ---------------- |
| Walt Disney (fb:m.081nh) | Walt Disney (en) |
| Ub Iwerks (fb:m.0f2ml)   | Ub Iwerks (en)   |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?college ?collegeLabel WHERE {
  fb:m.08304 fb:people.person.education ?edu .
  ?edu fb:education.education.institution ?college .
  OPTIONAL {
    ?college rdfs:label ?collegeLabel .
    FILTER ( lang( ?collegeLabel ) = 'en' )
  }
}

Got 3 rows and 2 columns:
| college                             | collegeLabel                |
| ----------------------------------- | --------------------------- |
| Marlborough College (fb:m.0173s9)   | Marlborough College (en)    |
| University of Oxford (fb:m.07tgn)   | University of Oxford (en)   |
| Exeter College, Oxford (fb:m.0ylvj) | Exeter College, Oxford (en) |

William Morris attended Marlborough College, University of Oxford, and Exeter College, Oxford.

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

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

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

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

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

[User] where did william morris go to college?

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

[Tool]
Example 1:
Question:
what influenced william morris to be an artist?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.08304 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.08304 fb:influence.influence_node.influenced_by ?x .
}

Using entities:
William Morris, also known as W. Morris (fb:m.08304): William Morris was an English textile designer, poet, novelist, ...Rossetti, Webb, and others: the Morris, Marshall, Faulkner & Co., has type Author

Using properties:
Influenced By (fb:influence.influence_node.influenced_by): part of Influence Node schema, links to type Influence Node

Example 2:
Question:
what school did william shakespeare attend?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.081k8 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.081k8 fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
}

Using entities:
William Shakespeare, also known as William 'Budd' Shakespeare, William Shakespare, Shaxper, William Shake-speare, William Shaksper (fb:m.081k8): William Shakespeare was an English poet, playwright, and actor, ...ratford around 1613, at age 49, where he died three years later., has type Author

Using properties:
Institution (fb:education.education.institution): links to type Educational Institution, part of Education schema
Education (fb:people.person.education): links to type Education, part of Person schema

Example 3:
Question:
what college did edgar allan poe go to?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02lt8 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02lt8 fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:common.topic.notable_types fb:m.01y2hnl .
}

Using entities:
College/University, also known as College, University (fb:m.01y2hnl): The College/University type is used for institutions that offer ...mation, please see the Freebase wiki page on College/University.
Edgar Allan Poe, also known as A bostonian, Poe, Henri Le Rennet, Edgar Poe, Edgar A. Poë (fb:m.02lt8): Edgar Allan Poe was an American author, poet, editor, and litera...sity of Virginia for one semester but left due to lack of money., has type Author

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Institution (fb:education.education.institution): links to type Educational Institution, part of Education schema
Education (fb:people.person.education): links to type Education, part of Person schema

[Assistant]
From the similar examples, I see that:

- William Morris's Freebase ID is fb:m.08304.
- To find where someone went to college, the pattern is:
  - Get their education via fb:people.person.education.
  - Get the institution via fb:education.education.institution.
  - Optionally, filter for institutions of type College/University (fb:m.01y2hnl).

I will now construct a SPARQL query following this pattern for William Morris.

[Tool]
Got 3 rows and 1 column:
| college                             |
| ----------------------------------- |
| Marlborough College (fb:m.0173s9)   |
| University of Oxford (fb:m.07tgn)   |
| Exeter College, Oxford (fb:m.0ylvj) |

[Tool]
Got 3 rows and 2 columns:
| college                             | collegeLabel                |
| ----------------------------------- | --------------------------- |
| Marlborough College (fb:m.0173s9)   | Marlborough College (en)    |
| University of Oxford (fb:m.07tgn)   | University of Oxford (en)   |
| Exeter College, Oxford (fb:m.0ylvj) | Exeter College, Oxford (en) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?actor WHERE {
  fb:m.0f22p8 fb:tv.tv_character.appeared_in_tv_program ?appearance .
  ?appearance fb:tv.regular_tv_appearance.actor ?actor .
  ?appearance fb:tv.regular_tv_appearance.series fb:m.01b64v .
}

Joshua Morrow plays Nicholas Newman on The Young and the Restless. (IRI: fb:m.07sklj)

[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 plays nicholas newman on the young and the restless?

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

[Tool]
Example 1:
Question:
who plays young john winchester in supernatural?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.025ybxs ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.025ybxs fb:tv.tv_character.appeared_in_tv_program ?y .
  ?y fb:tv.regular_tv_appearance.actor ?x .
  ?y fb:tv.regular_tv_appearance.series fb:m.06s3sm .
  ?y fb:tv.regular_tv_appearance.from ?sk0 .
}
ORDER BY xsd:datetime ( ?sk0 )
LIMIT 1

Using entities:
John Winchester, also known as John Eric Winchester (fb:m.025ybxs): John Eric Winchester is a fictional character on The CW Televisi...nerally frustrated at the character for keeping so many secrets., has type TV Character
Supernatural (fb:m.06s3sm): Supernatural is an American fantasy horror television series cre...nned the series for three seasons but later expanded it to five., has type TV Program

Using properties:
Actor (fb:tv.regular_tv_appearance.actor): part of TV Regular Performance schema, links to type TV Actor
From (fb:tv.regular_tv_appearance.from): part of TV Regular Performance schema, links to type Date/Time
Series (fb:tv.regular_tv_appearance.series): part of TV Regular Performance schema, links to type TV Program
Programs in which this was a regular character (fb:tv.tv_character.appeared_in_tv_program): links to type TV Regular Performance, part of TV Character schema

Example 2:
Question:
who played carlton banks?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0bdz91 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0bdz91 fb:tv.tv_character.appeared_in_tv_program ?y .
  ?y fb:tv.regular_tv_appearance.actor ?x .
}

Using entities:
Carlton Banks (fb:m.0bdz91): Carlton Banks is the fictional character from the TV Series The Fresh Prince of Bel-Air., has type TV Character

Using properties:
Actor (fb:tv.regular_tv_appearance.actor): part of TV Regular Performance schema, links to type TV Actor
Programs in which this was a regular character (fb:tv.tv_character.appeared_in_tv_program): links to type TV Regular Performance, part of TV Character schema

Example 3:
Question:
who plays young lex luthor in smallville?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03g9xj ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03g9xj fb:tv.tv_program.regular_cast ?y .
  ?y fb:tv.regular_tv_appearance.actor ?x .
  ?y fb:tv.regular_tv_appearance.character fb:m.04q78 .
}

Using entities:
Smallville (fb:m.03g9xj): Smallville is an American television series developed by writer-...ir "no tights, no flights" rule to the president of Warner Bros., has type TV Program
Alexander Luthor, also known as Alexander Luthor, President Lex Luthor, Lex Luthor (fb:m.04q78): Alexander Joseph "Lex" Luthor is a fictional supervillain appear...Corp, with Mercy Graves as his personal assistant and bodyguard., Lex Luthor is a fictional character from the television series S... things connected to Clark ultimately destroys their friendship., has type Comic Book Character

Using properties:
Actor (fb:tv.regular_tv_appearance.actor): part of TV Regular Performance schema, links to type TV Actor
Character (fb:tv.regular_tv_appearance.character): part of TV Regular Performance schema, links to type TV Character
Regular acting performances (fb:tv.tv_program.regular_cast): links to type TV Regular Performance, part of TV Program schema

[Assistant]
From the similar examples, the general approach is:

1. Identify the entity for "Nicholas Newman" (the character).
2. Identify the entity for "The Young and the Restless" (the TV show).
3. Find the regular TV appearance(s) where this character appears in this show.
4. Retrieve the actor(s) for those appearances.

Let's start by searching for the entity "Nicholas Newman" in Freebase.

[Tool]
Top 10 entity alternatives:
1. Nicholas Newman (fb:m.0f22p8): Nicholas "Nick" Christian Newman is a fictional character from t... of another woman, Phyllis Summers, which resulted in an affair., has type TV Character
2. Nicholas Newman (fb:m.0h3vl_1): Nicholas Newman is a Paralympian athlete from South Africa compe...third when attempting to defend his title in the F36/38 javelin., has type Person
3. Nicholas Newman (fb:m.0w70cfb): Sharon Newman is the father of Hunter Allan., has type Person
4. Nicholas Newman (fb:m.0qb5mbr)
5. Nick Newman, also known as John Nicholas Newman (fb:m.04n4p6l): John Nicholas "Nick" Newman is an American naval architect noted... of Naval Architecture at Massachusetts Institute of Technology., has type Academic
6. Newman, Nicholas (Fictitious character) (fb:m.0bpzq69)
7. Newman, also known as Newman, California, Stanislaus County / Newman city (fb:m.0r7g9): Newman is a city in Stanislaus County, California, United States...establish the sphere of influence boundary lasting for 25 years., has type City/Town/Village
8. Newman, also known as Douglas County / Newman city, Newman, Illinois (fb:m.0s685): Newman is a city in Douglas County, Illinois, United States. The...street is Broadway. The children go to school at Shiloh CUSD #1., has type City/Town/Village
9. David Baddiel, also known as Baddiel, David, David Lionel Baddiel, Newman (fb:m.0216w1): David Lionel Baddiel is an English comedian, novelist and televi...comedy, Baddiel is also a published novelist and a screenwriter., has type TV Personality
10. Nicholas of Lyra, also known as Nicholas (fb:m.03z4z5): Nicholas of Lyra, or Nicolaus Lyranus, a Franciscan teacher, was...ed and elaborated readings being given to Scripture in his time., has type Author

[Assistant]
The first result, "Nicholas Newman (fb:m.0f22p8)", is described as a fictional character and matches the context of "The Young and the Restless."

Next, let's search for the entity for "The Young and the Restless" to ensure we have the correct show.

[Tool]
Top 10 entity alternatives:
1. The Young and the Restless, also known as Y&R (fb:m.01b64v): The Young and the Restless is an American television soap opera ...s the Newmans, Winters, and the Baldwin-Fishers were introduced., has type TV Program
2. The Young and Restless (fb:m.0zvp93m): has type Musical Release
3. The Young and the Restless (fb:m.05drsk0): Will sneaks Philip's elderly mother out of the house for a night on the town., has type TV Episode
4. Young and the Restless (fb:m.05dlr9c): While Russell has a hot new date, Audrey bets Jeff that he can't...ger woman and gives him a night without his wedding ring to try., has type TV Episode
5. The Young and The Restless, also known as The Young And The Restless (fb:m.06z3qhk): A lecture on the latest techniques by a young surgeon from Tokyo... and B.J. that they are out of touch with new medical practices., has type TV Episode
6. The Young and the Restless (fb:m.05dmrpz): has type TV Episode
7. The Young and the Restless (fb:m.0kx147y): The kings are trying to act grown-up and impress the ladies only...em into becoming the source of power behind a fountain of youth., has type TV Episode
8. The Young and Restless (fb:m.0zvf18s): has type Musical Album
9. The Young and the Restless (fb:m.0ybp5tj): has type Musical Recording
10. The Young and the Restless (fb:m.0yc9y5s): has type Musical Recording

[Assistant]
The first result, "The Young and the Restless (fb:m.01b64v)", is the correct TV program.

Now, following the pattern from the similar examples, I need to find the regular TV appearance(s) where Nicholas Newman (fb:m.0f22p8) appears in The Young and the Restless (fb:m.01b64v), and then retrieve the actor(s).

I'll search for properties of the Nicholas Newman entity related to TV appearances.

[Tool]
Top 10 property alternatives:
1. Programs in which this was a regular character (fb:tv.tv_character.appeared_in_tv_program): links to type TV Regular Performance, part of TV Character schema
2. Key (fb:type.object.key): part of Object schema, links to type Key
3. Type (fb:type.object.type): part of Object schema, links to type Type
4. Name (fb:type.object.name): part of Object schema, links to type Text
5. Description (fb:common.topic.description): part of Topic schema, links to type Text
6. Article (fb:common.topic.article): links to type Document, part of Topic schema
7. Occupation (fb:fictional_universe.fictional_character.occupation): part of Fictional Character schema, links to type Character Occupation
8. Gender (fb:fictional_universe.fictional_character.gender): part of Fictional Character schema, links to type Character Gender
9. Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
10. Parents (fb:fictional_universe.fictional_character.parents): part of Fictional Character schema, links to type Fictional Character

No other items found

[Tool]
Got 1 row and 3 columns:
| subject                       | property                                                                                | object       |
| ----------------------------- | ------------------------------------------------------------------------------------------ | ------------ |
| Nicholas Newman (fb:m.0f22p8) | Programs in which this was a regular character (fb:tv.tv_character.appeared_in_tv_program) | fb:m.0bw1ttt |

[Tool]
Got 5 rows and 3 columns:
| subject      | property                                          | object                                               |
| ------------ | ------------------------------------------------- | ---------------------------------------------------- |
| fb:m.0bw1ttt | Type (fb:type.object.type)                        | TV Regular Performance (fb:tv.regular_tv_appearance) |
| fb:m.0bw1ttt | Actor (fb:tv.regular_tv_appearance.actor)         | Joshua Morrow (fb:m.07sklj)                          |
| fb:m.0bw1ttt | Series (fb:tv.regular_tv_appearance.series)       | The Young and the Restless (fb:m.01b64v)             |
| fb:m.0bw1ttt | Character (fb:tv.regular_tv_appearance.character) | Nicholas Newman (fb:m.0f22p8)                        |
| fb:m.0bw1ttt | rdf:type                                          | TV Regular Performance (fb:tv.regular_tv_appearance) |

[Tool]
Got 171 rows and 3 columns, showing the first 10 rows below:
| subject                     | property                                                            | object                                                                   |
| --------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Joshua Morrow (fb:m.07sklj) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Joshua Morrow (fb:m.07sklj) | Key (fb:type.object.key)                                            | /authority/imdb/name/nm0607510                                           |
| Joshua Morrow (fb:m.07sklj) | Name (fb:type.object.name)                                          | Joshua Morrow (en)                                                       |
| Joshua Morrow (fb:m.07sklj) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://en.wikipedia.org/wiki/index.html?curid=2624810>                  |
| Joshua Morrow (fb:m.07sklj) | Notable for (fb:common.topic.notable_for)                           | fb:g.1255fs9jb                                                           |
| Joshua Morrow (fb:m.07sklj) | Notable types (fb:common.topic.notable_types)                       | Celebrity (fb:m.02_7frv)                                                 |
| Joshua Morrow (fb:m.07sklj) | Description (fb:common.topic.description)                           | Joshua Jacob Morrow, född 8 febr...obe har tre söner och en dotter. (sv) |
| Joshua Morrow (fb:m.07sklj) | Article (fb:common.topic.article)                                   | fb:m.07sklq                                                              |
| Joshua Morrow (fb:m.07sklj) | Also known as (fb:common.topic.alias)                               | Joshua Jacob Morrow (en)                                                 |
| Joshua Morrow (fb:m.07sklj) | Has value (fb:freebase.valuenotation.has_value)                     | Parents (fb:m.01x3gb5)                                                   |
| ...                         | ...                                                                 | ...                                                                      |

[Tool]
Got 1 row and 1 column:
| actor                       |
| --------------------------- |
| Joshua Morrow (fb:m.07sklj) |

[Tool]
Got 8 rows and 2 columns:
| actor                       | actorLabel         |
| --------------------------- | ------------------ |
| Joshua Morrow (fb:m.07sklj) | Joshua Morrow (en) |
| Joshua Morrow (fb:m.07sklj) | Joshua Morrow (fi) |
| Joshua Morrow (fb:m.07sklj) | Joshua Morrow (fr) |
| Joshua Morrow (fb:m.07sklj) | Joshua Morrow (nl) |
| Joshua Morrow (fb:m.07sklj) | Joshua Morrow (pl) |
| Joshua Morrow (fb:m.07sklj) | Joshua Morrow (ro) |
| Joshua Morrow (fb:m.07sklj) | Joshua Morrow (sv) |
| Joshua Morrow (fb:m.07sklj) | Джошуа Морроу (ru) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?actor ?actorLabel WHERE {
  {
    fb:m.04q78 fb:film.film_character.portrayed_in_films ?perf .
    ?perf fb:film.performance.actor ?actor .
  } UNION {
    ?tvperf fb:tv.regular_tv_appearance.character fb:m.04q78 .
    ?tvperf fb:tv.regular_tv_appearance.actor ?actor .
  }
  OPTIONAL {
    ?actor rdfs:label ?actorLabel .
    FILTER ( lang( ?actorLabel ) = 'en' )
  }
}

Got 11 rows and 2 columns, showing the first 5 and last 5 rows below:
| actor                          | actorLabel             |
| ------------------------------ | ---------------------- |
| James Marsters (fb:m.01f9mq)   | James Marsters (en)    |
| Powers Boothe (fb:m.02p7_k)    | Powers Boothe (en)     |
| Anthony LaPaglia (fb:m.0301bq) | Anthony LaPaglia (en)  |
| Gene Hackman (fb:m.039bp)      | Gene Hackman (en)      |
| Clancy Brown (fb:m.03wy70)     | Clancy Brown (en)      |
| ...                            | ...                    |
| Chris Noth (fb:m.04cf09)       | Chris Noth (en)        |
| Jesse Eisenberg (fb:m.057176)  | Jesse Eisenberg (en)   |
| William Hootkins (fb:m.079jd_) | William Hootkins (en)  |
| Lucas Grabeel (fb:m.09wtt_)    | Lucas Grabeel (en)     |
| Michael Rosenbaum (fb:m.0q1lp) | Michael Rosenbaum (en) |

Actors who have played Lex Luthor include James Marsters, Powers Boothe, Anthony LaPaglia, Gene Hackman, Clancy Brown, Chris Noth, Jesse Eisenberg, William Hootkins, Lucas Grabeel, and Michael Rosenbaum, among others. The query returns their Freebase IRIs and (where available) English labels.

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

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

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

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

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

[User] who has played lex luthor?

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

[Tool]
Example 1:
Question:
who plays young lex luthor in smallville?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03g9xj ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03g9xj fb:tv.tv_program.regular_cast ?y .
  ?y fb:tv.regular_tv_appearance.actor ?x .
  ?y fb:tv.regular_tv_appearance.character fb:m.04q78 .
}

Using entities:
Smallville (fb:m.03g9xj): Smallville is an American television series developed by writer-...ir "no tights, no flights" rule to the president of Warner Bros., has type TV Program
Alexander Luthor, also known as Alexander Luthor, President Lex Luthor, Lex Luthor (fb:m.04q78): Alexander Joseph "Lex" Luthor is a fictional supervillain appear...Corp, with Mercy Graves as his personal assistant and bodyguard., Lex Luthor is a fictional character from the television series S... things connected to Clark ultimately destroys their friendship., has type Comic Book Character

Using properties:
Actor (fb:tv.regular_tv_appearance.actor): part of TV Regular Performance schema, links to type TV Actor
Character (fb:tv.regular_tv_appearance.character): part of TV Regular Performance schema, links to type TV Character
Regular acting performances (fb:tv.tv_program.regular_cast): links to type TV Regular Performance, part of TV Program schema

Example 2:
Question:
who played lex luthor in the original superman?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.04q78 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.04q78 fb:film.film_character.portrayed_in_films ?y .
  ?y fb:film.performance.actor ?x .
  ?y fb:film.performance.film fb:m.01_mdl .
}

Using entities:
Superman, also known as Superman - Le film, Teräsmies, Superman: The Movie, Superman - teräsmies, Superman - stålmannen (fb:m.01_mdl): Superman is a 1978 superhero film directed by Richard Donner. It...75 percent had already been completed—and finish the first film., has type Film
Alexander Luthor, also known as Alexander Luthor, President Lex Luthor, Lex Luthor (fb:m.04q78): Alexander Joseph "Lex" Luthor is a fictional supervillain appear...Corp, with Mercy Graves as his personal assistant and bodyguard., Lex Luthor is a fictional character from the television series S... things connected to Clark ultimately destroys their friendship., has type Comic Book Character

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

Example 3:
Question:
who played lois en superman?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0gjc4d3 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0gjc4d3 fb:film.film.starring ?y .
  ?y fb:film.performance.actor ?x .
  ?y fb:film.performance.character fb:m.04pzy .
}

Using entities:
Lois Lane (fb:m.04pzy): Lois Lane is a fictional character appearing in American comic b...e entire history of Superman comics and other media adaptations., has type Comic Book Character
Man of Steel, also known as Superman: Man of Steel, Superman (fb:m.0gjc4d3): Man of Steel is a 2013 American superhero film based on the DC C...tes would be able to sue for lost revenue on an unproduced film., has type Award-Winning Work

Using properties:
Performances (fb:film.film.starring): links to type Film performance, part of Film schema
Actor (fb:film.performance.actor): part of Film performance schema, links to type Film actor
Character (fb:film.performance.character): part of Film performance schema, links to type Film character

[Assistant]
From the examples, I see that "Lex Luthor" is represented by the entity fb:m.04q78. To find all actors who have played Lex Luthor, I need to look for both film and TV performances.

For films, the property fb:film.film_character.portrayed_in_films links the character to performances, and fb:film.performance.actor gives the actor.

For TV, the property fb:tv.regular_tv_appearance.character links appearances to the character, and fb:tv.regular_tv_appearance.actor gives the actor.

I will combine both approaches to get all actors who have played Lex Luthor in either film or TV.

[Tool]
Got 11 rows and 1 column, showing the first 5 and last 5 rows below:
| actor                          |
| ------------------------------ |
| James Marsters (fb:m.01f9mq)   |
| Powers Boothe (fb:m.02p7_k)    |
| Anthony LaPaglia (fb:m.0301bq) |
| Gene Hackman (fb:m.039bp)      |
| Clancy Brown (fb:m.03wy70)     |
| ...                            |
| Chris Noth (fb:m.04cf09)       |
| Jesse Eisenberg (fb:m.057176)  |
| William Hootkins (fb:m.079jd_) |
| Lucas Grabeel (fb:m.09wtt_)    |
| Michael Rosenbaum (fb:m.0q1lp) |

[Tool]
Got 11 rows and 2 columns, showing the first 5 and last 5 rows below:
| actor                          | actorLabel             |
| ------------------------------ | ---------------------- |
| James Marsters (fb:m.01f9mq)   | James Marsters (en)    |
| Powers Boothe (fb:m.02p7_k)    | Powers Boothe (en)     |
| Anthony LaPaglia (fb:m.0301bq) | Anthony LaPaglia (en)  |
| Gene Hackman (fb:m.039bp)      | Gene Hackman (en)      |
| Clancy Brown (fb:m.03wy70)     | Clancy Brown (en)      |
| ...                            | ...                    |
| Chris Noth (fb:m.04cf09)       | Chris Noth (en)        |
| Jesse Eisenberg (fb:m.057176)  | Jesse Eisenberg (en)   |
| William Hootkins (fb:m.079jd_) | William Hootkins (en)  |
| Lucas Grabeel (fb:m.09wtt_)    | Lucas Grabeel (en)     |
| Michael Rosenbaum (fb:m.0q1lp) | Michael Rosenbaum (en) |

[Tool] Stopped generation process