PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?color WHERE {
  fb:m.02896 fb:sports.sports_team.colors ?color .
}

Got 5 rows and 1 column:
| color                    |
| ------------------------ |
| Blue (fb:m.01g5v)        |
| Navy Blue (fb:m.02rnmb)  |
| Silver (fb:m.03vtbc)     |
| Royal blue (fb:m.06kqt3) |
| White (fb:m.083jv)       |

The official colors of the Dallas Cowboys are Blue, Navy Blue, Silver, Royal Blue, and White.

[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 are the official colors of the dallas cowboys?

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

[Tool]
Example 1:
Question:
when was the last time the dallas cowboys went to the super bowl?

SPARQL:
SELECT DISTINCT ?x WHERE {
  fb:m.06x5s fb:sports.sports_championship.events ?x .
  {
    {
      ?x fb:sports.sports_championship_event.runner_up fb:m.02896 .
    } UNION {
      ?x fb:sports.sports_championship_event.champion fb:m.02896 .
    }
  }
  ?x fb:time.event.start_date ?d .
}
ORDER BY DESC ( ?d )
LIMIT 1

Using entities:
Dallas Cowboys, also known as Doomsday Defense, The Boys, Big D, America's Team (fb:m.02896):     The Dallas Cowboys are a professional American football team...e 2 placed the Cowboys at the top of its Ultimate Power Ranking., The Dallas Cowboys are a professional American football team loc...th are second to Pittsburgh's record 6 Super Bowl championships., has type Professional Sports Team
Super Bowl, also known as Superbowl start, Superbowl kickoff what time, Super Bowl NFL, Super bowl played, Superbowl played (fb:m.06x5s): The Super Bowl is the annual championship game of the National F...ue with 26 wins to 23 wins for the American Football Conference., has type Sports League Championship

Using properties:
Events (fb:sports.sports_championship.events): links to type Sports League Championship Event, part of Sports League Championship schema
Champion (fb:sports.sports_championship_event.champion): part of Sports League Championship Event schema, links to type Sports Team
Runner-up (fb:sports.sports_championship_event.runner_up): part of Sports League Championship Event schema, links to type Sports Team
Start date (fb:time.event.start_date): links to type Date/Time, part of Event schema

Example 2:
Question:
what years have the dallas cowboys won the superbowl?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02896 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02896 fb:sports.sports_team.championships ?x .
}

Using entities:
Dallas Cowboys, also known as Doomsday Defense, The Boys, Big D, America's Team (fb:m.02896):     The Dallas Cowboys are a professional American football team...e 2 placed the Cowboys at the top of its Ultimate Power Ranking., The Dallas Cowboys are a professional American football team loc...th are second to Pittsburgh's record 6 Super Bowl championships., has type Professional Sports Team

Using properties:
Championships (fb:sports.sports_team.championships): links to type Sports League Championship Event, part of Sports Team schema

Example 3:
Question:
when was the last dallas cowboys super bowl win?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02896 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02896 fb:sports.sports_team.championships ?x .
  ?x fb:sports.sports_championship_event.champion fb:m.02896 .
  ?x fb:time.event.end_date ?sk0 .
}
ORDER BY DESC ( xsd:datetime ( ?sk0 ) )
LIMIT 1

Using entities:
Dallas Cowboys, also known as Doomsday Defense, The Boys, Big D, America's Team (fb:m.02896):     The Dallas Cowboys are a professional American football team...e 2 placed the Cowboys at the top of its Ultimate Power Ranking., The Dallas Cowboys are a professional American football team loc...th are second to Pittsburgh's record 6 Super Bowl championships., has type Professional Sports Team

Using properties:
Champion (fb:sports.sports_championship_event.champion): part of Sports League Championship Event schema, links to type Sports Team
Championships (fb:sports.sports_team.championships): links to type Sports League Championship Event, part of Sports Team schema
End date (fb:time.event.end_date): links to type Date/Time, part of Event schema

[Assistant] None of these examples directly provide the official colors of the Dallas Cowboys, but they do give us the entity for the Dallas Cowboys. Let's search for the entity "Dallas Cowboys" to confirm it.

[Tool]
Top 10 entity alternatives:
1. Dallas Cowboys, also known as Doomsday Defense, The Boys, Big D, America's Team (fb:m.02896):     The Dallas Cowboys are a professional American football team...e 2 placed the Cowboys at the top of its Ultimate Power Ranking., The Dallas Cowboys are a professional American football team loc...th are second to Pittsburgh's record 6 Super Bowl championships., has type Professional Sports Team
2. Dallas Cowboys (fb:m.0wgpclz): The ten most famous members of the Cowboys., has type TV Episode
3. Dallas Cowboys (fb:m.0wglfvr): The Cleveland Browns' young, rising superstars Brandon Weeden, T...rcus Ware and the hungry Dallas Cowboys defense led by Rob Ryan., has type TV Episode
4. Dallas Cowboys (fb:m.0290hv9)
5. Dallas Cowboys Cheerleaders (fb:m.077jj5): The Dallas Cowboys Cheerleaders is the National Football League ...ing career is to eventually become a Dallas Cowboys Cheerleader., has type Organization
6. Dallas Cowboys Stadium, also known as Coaster Build Off (fb:m.07lhlgv): In the premiere episode of Build it Bigger, host Danny Forster g...struction crews as they assemble various segments of the tracks., has type TV Episode
7. Dallas Cowboys Stadium (fb:m.07lhlj6): Behold the new Dallas Cowboys Stadium. 3 million square feet. 73... largest football stadium ever constructed in the United States., has type TV Episode
8. Dallas Cowboys Stadium (fb:m.0k0rvf9): Building the new Cowboys Stadium, has type TV Episode
9. Dallas Dope Cowboys (fb:m.011n6sxn): The southwest border of the U.S. is the main gateway for illegal...eir command and control center for the trade of their narcotics., has type TV Episode
10. 1993 Dallas Cowboys (fb:m.0w6cbx3): Narrated by Ed Harris. Team Commentary by Bill Bates, Emmitt Smith, and Jimmy Johnson., has type TV Episode

[Assistant] The correct entity for the Dallas Cowboys is `fb:m.02896`. Now, let's search for properties related to "colors" or "official colors" for this entity.

[Tool]
Top 10 property alternatives:
1. Colors (fb:sports.sports_team.colors): part of Sports Team schema, links to type Color
2. Type (fb:type.object.type): part of Object schema, links to type Type
3. Image (fb:common.topic.image): part of Topic schema, links to type Image
4. Description (fb:common.topic.description): part of Topic schema, links to type Text
5. Name (fb:type.object.name): part of Object schema, links to type Text
6. Sport (fb:sports.sports_team.sport): part of Sports Team schema, links to type Sport
7. Championships (fb:sports.sports_team.championships): links to type Sports League Championship Event, part of Sports Team schema
8. Key (fb:type.object.key): part of Object schema, links to type Key
9. Roster (fb:sports.sports_team.roster): links to type Sports team roster, part of Sports Team schema
10. Position (fb:user.szaijan.fantasy_football.player.position): links to type Position, part of Player schema

No other items found

[Assistant]
The property `fb:sports.sports_team.colors` seems to be the one we need to find the official colors of the Dallas Cowboys. Let's construct a simple SPARQL query to retrieve this information.

```sparql
SELECT ?color WHERE {
  fb:m.02896 fb:sports.sports_team.colors ?color .
}
```

Now, let's execute this query to see the results.

[Tool]
Got 5 rows and 1 column:
| color                    |
| ------------------------ |
| Blue (fb:m.01g5v)        |
| Navy Blue (fb:m.02rnmb)  |
| Silver (fb:m.03vtbc)     |
| Royal blue (fb:m.06kqt3) |
| White (fb:m.083jv)       |

[Assistant]
The official colors of the Dallas Cowboys are:

- Blue (fb:m.01g5v)
- Navy Blue (fb:m.02rnmb)
- Silver (fb:m.03vtbc)
- Royal Blue (fb:m.06kqt3)
- White (fb:m.083jv)

Here is the final SPARQL query and answer:

```sparql
SELECT ?color WHERE {
  fb:m.02896 fb:sports.sports_team.colors ?color .
}
```

The official colors of the Dallas Cowboys are Blue, Navy Blue, Silver, Royal Blue, and White.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query is correct and returns the expected results. The official colors of the Dallas Cowboys are indeed Blue, Navy Blue, Silver, Royal Blue, and White. The query follows all the rules and guidelines provided.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?institution ?startDate ?endDate WHERE {
  fb:m.019fz fb:people.person.education ?education .
  ?education fb:education.education.institution ?institution .
  ?education fb:education.education.start_date ?startDate .
  ?education fb:education.education.end_date ?endDate .
}

Benjamin Franklin was educated at the Boston Latin School from 1714 to 1716.

[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 was benjamin franklin educated?

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

[Tool]
Example 1:
Question:
where was benjamin franklin raised?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.019fz ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.019fz fb:people.person.place_of_birth ?x .
}

Using entities:
Benjamin Franklin, also known as Ben Franklin (fb:m.019fz): Benjamin Franklin was one of the Founding Fathers of the United ...s, with the scientific and tolerant values of the Enlightenment., Benjamin Franklin (1706  1790) was an inventor, publisher. scien...ng library in America and first fire department in Pennsylvania., has type U.S. Congressperson

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

Example 2:
Question:
where was ben franklin born?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.019fz ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.019fz fb:people.person.place_of_birth ?x .
}

Using entities:
Benjamin Franklin, also known as Ben Franklin (fb:m.019fz): Benjamin Franklin was one of the Founding Fathers of the United ...s, with the scientific and tolerant values of the Enlightenment., Benjamin Franklin (1706  1790) was an inventor, publisher. scien...ng library in America and first fire department in Pennsylvania., has type U.S. Congressperson

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

Example 3:
Question:
where did benjamin franklin died?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.019fz ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.019fz fb:people.deceased_person.place_of_death ?x .
}

Using entities:
Benjamin Franklin, also known as Ben Franklin (fb:m.019fz): Benjamin Franklin was one of the Founding Fathers of the United ...s, with the scientific and tolerant values of the Enlightenment., Benjamin Franklin (1706  1790) was an inventor, publisher. scien...ng library in America and first fire department in Pennsylvania., has type U.S. Congressperson

Using properties:
Place of death (fb:people.deceased_person.place_of_death): part of Deceased Person schema, links to type Location

[Assistant] From the examples, we see that the entity for Benjamin Franklin is `fb:m.019fz`. However, none of the examples directly mention education. Let's search for properties related to education for Benjamin Franklin.

[Tool]
Top 10 property alternatives:
1. Education (fb:people.person.education): links to type Education, part of Person schema
2. Disciplines (fb:base.kwebbase.kwtopic.disciplines): part of KWTopic schema, links to type Text
3. Article (fb:common.topic.article): links to type Document, part of Topic schema
4. Official website (fb:common.topic.official_website): part of Topic schema, links to type URI
5. Assessment (fb:base.kwebbase.kwtopic.assessment): part of KWTopic schema, links to type Text
6. Religion (fb:people.person.religion): links to type Religion, part of Person schema
7. Profession (fb:people.person.profession): links to type Profession, part of Person schema
8. Connections to (fb:base.kwebbase.kwtopic.connections_to): links to type KWConnection, part of KWTopic schema
9. Parents (fb:people.person.parents): part of Person schema, links to type Person
10. Description (fb:common.topic.description): part of Topic schema, links to type Text

No other items found

[Assistant] The property `fb:people.person.education` seems to be the most relevant for finding out where Benjamin Franklin was educated. Let's construct a SPARQL query to retrieve this information.

[Tool]
Got 1 row and 1 column:
| education    |
| ------------ |
| fb:m.040vjzw |

[Assistant] We have obtained the identifier for Benjamin Franklin's education. To provide a more meaningful answer, let's look up the label for this identifier.

[Tool] Got no rows and 2 columns

[Assistant] It appears that the education identifier does not have an English label. Let's try to find more information about the education identifier itself.

[Tool]
Got 14 rows and 3 columns, showing the first 10 rows below:
| subject      | property                                              | object                              |
| ------------ | ----------------------------------------------------- | ----------------------------------- |
| fb:m.040vjzw | Type (fb:type.object.type)                            | Education (fb:education.education)  |
| fb:m.040vjzw | Is reviewed (fb:freebase.valuenotation.is_reviewed)   | Student (fb:m.028xmhx)              |
| fb:m.040vjzw | Has no value (fb:freebase.valuenotation.has_no_value) | Major/Field Of Study (fb:m.028xml4) |
| fb:m.040vjzw | Institution (fb:education.education.institution)      | Boston Latin School (fb:m.02kj7g)   |
| fb:m.040vjzw | Student (fb:education.education.student)              | Benjamin Franklin (fb:m.019fz)      |
| fb:m.040vjzw | End Date (fb:education.education.end_date)            | 1716 (xsd:gYear)                    |
| fb:m.040vjzw | Start Date (fb:education.education.start_date)        | 1714 (xsd:gYear)                    |
| fb:m.040vjzw | rdf:type                                              | Education (fb:education.education)  |
| fb:m.040vjzw | Is reviewed (fb:freebase.valuenotation.is_reviewed)   | Institution (fb:m.04qs)             |
| fb:m.040vjzw | Is reviewed (fb:freebase.valuenotation.is_reviewed)   | Start Date (fb:m.028xmgn)           |
| ...          | ...                                                   | ...                                 |

[Assistant] Based on the information retrieved, Benjamin Franklin attended the Boston Latin School from 1714 to 1716. We can now formulate the final SPARQL query to confirm this and provide the answer.

[Tool]
Got 1 row and 3 columns:
| institution                       | startDate        | endDate          |
| --------------------------------- | ---------------- | ---------------- |
| Boston Latin School (fb:m.02kj7g) | 1714 (xsd:gYear) | 1716 (xsd:gYear) |

[Assistant]
The SPARQL query confirms that Benjamin Franklin was educated at the Boston Latin School from 1714 to 1716.

Here is the final SPARQL query and the answer:

```sparql
SELECT DISTINCT ?institution ?startDate ?endDate WHERE {
  fb:m.019fz fb:people.person.education ?education .
  ?education fb:education.education.institution ?institution .
  ?education fb:education.education.start_date ?startDate .
  ?education fb:education.education.end_date ?endDate .
}
```

**Answer:** Benjamin Franklin was educated at the Boston Latin School from 1714 to 1716.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query returns the expected information about Benjamin Franklin's education, specifically the institution (Boston Latin School) and the dates he attended (1714 to 1716).


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?county WHERE {
  fb:m.0d9z_y fb:location.location.containedby ?county .
  FILTER ( ?county != fb:m.09c7w0 && ?county != fb:m.0vbk )
}

Miller 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 texarkana arkansas in?

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

[Tool]
Example 1:
Question:
where is canadian county oklahoma?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0my97 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0my97 fb:location.location.containedby ?x .
}

Using entities:
Canadian County (fb:m.0my97): Canadian County is a county located in the U.S. state of Oklahom...lso part of the Oklahoma City, OK Metropolitan Statistical Area., has type US County

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

[Assistant] Based on the example, we need to find the county that Texarkana, Arkansas is contained by. First, let's identify the entity for Texarkana, Arkansas.

[Tool]
Top 10 entity alternatives:
1. Texarkana, Arkansas, also known as Miller County / Texarkana city, Texarkana, Texarkana, Arkansas (fb:m.0d9z_y): Texarkana is the largest city and the county seat of Miller Coun...ation of the two Texarkana cities was 66,330 at the 2010 census., has type City/Town/Village
2. Texarkana Arkansas School District (fb:m.027zcr2): The Texarkana Arkansas School District is a U.S. school district...include North Heights Jr. High and Arkansas High School in 2006., has type School district
3. Texarkana, Arkansas, Municipal Building (fb:m.0125kw_b): The Municipal Building of Texarkana, Arkansas, is located at Wal... was listed on the National Register of Historic Places in 2004.
4. Location of Texarkana, Arkansas (fb:m.0294c0h)
5. Arkansas, also known as Natural State, AR, Ark (fb:m.0vbk): Arkansas is a state located in the Southern region of the United... The largest city in the eastern part of the state is Jonesboro., has type US State
6. Texarkana, also known as Bowie County / Texarkana city, Texarkana, Texas (fb:m.0_yjd): Texarkana is a city in Bowie County, Texas, United States, locat...us, and the metropolitan area had a total population of 136,027., has type City/Town/Village
7. Quapaw Language, also known as Arkansas, Ogaxpa, Capa, Alkansea (fb:m.02hxns7): Quapaw, or Arkansas, is a Siouan language of the Quapaw people, ... to the other Dhegihan languages: Kansa, Omaha, Osage and Ponca., has type Human Language
8. Texarkana (fb:m.0lhsty): has type Musical Recording
9. Arkansas, also known as Arkansas, West Virginia (fb:m.09ql42): Arkansas is an unincorporated community in Hardy County, West Vi...on Arkansaw Road County Route 3/2 off of West Virginia Route 29., has type City/Town/Village
10. Arkansas (fb:m.0mg823): has type Musical Recording

[Assistant]
The first result seems to be the correct entity for Texarkana, Arkansas. Now, let's confirm the property that indicates the county it is contained by, which is likely `fb:location.location.containedby`.

Next, we will run a SPARQL query to find the county that Texarkana, Arkansas is contained by.

[Tool]
Got 3 rows and 1 column:
| county                                 |
| -------------------------------------- |
| United States of America (fb:m.09c7w0) |
| Miller County (fb:m.0p2xk)             |
| Arkansas (fb:m.0vbk)                   |

[Assistant]
The query returned multiple results, including the United States of America and the state of Arkansas, which are not the specific county we are looking for. However, Miller County is the correct county where Texarkana, Arkansas is located.

To ensure we only get the county, we can filter out the results that are not counties. Let's refine the query to include a filter for the type of the county.

First, let's find the type of Miller County to confirm it is indeed a county.

[Tool]
Got 14 rows and 3 columns, showing the first 10 rows below:
| subject                    | property | object                                                        |
| -------------------------- | -------- | ------------------------------------------------------------- |
| Miller County (fb:m.0p2xk) | rdf:type | Topic (fb:common.topic)                                       |
| Miller County (fb:m.0p2xk) | rdf:type | Abstract (fb:base.type_ontology.abstract)                     |
| Miller County (fb:m.0p2xk) | rdf:type | Inanimate (fb:base.type_ontology.inanimate)                   |
| Miller County (fb:m.0p2xk) | rdf:type | Agent (fb:base.type_ontology.agent)                           |
| Miller County (fb:m.0p2xk) | rdf:type | Location (fb:location.location)                               |
| Miller County (fb:m.0p2xk) | rdf:type | Statistical region (fb:location.statistical_region)           |
| Miller County (fb:m.0p2xk) | rdf:type | Dated location (fb:location.dated_location)                   |
| Miller County (fb:m.0p2xk) | rdf:type | HUD Foreclosure Area (fb:location.hud_foreclosure_area)       |
| Miller County (fb:m.0p2xk) | rdf:type | Administrative Division (fb:location.administrative_division) |
| Miller County (fb:m.0p2xk) | rdf:type | Literature Subject (fb:book.book_subject)                     |
| ...                        | ...      | ...                                                           |

[Assistant]
Miller County is indeed a county, as indicated by the type `fb:location.administrative_division`. We can now refine our query to filter for only those results that are of this type.

Let's update the SPARQL query to include this filter.

[Tool]
Got 3 rows and 1 column:
| county                                 |
| -------------------------------------- |
| United States of America (fb:m.09c7w0) |
| Miller County (fb:m.0p2xk)             |
| Arkansas (fb:m.0vbk)                   |

[Assistant]
The query still returns the United States of America and the state of Arkansas, which are not the specific county we are looking for. To further refine the query, we need to ensure that we only get the county-level administrative division.

We can add an additional filter to check if the county is a county specifically. Let's search for the property that indicates a county.

[Tool]
Top 10 property alternatives:
1. County (fb:base.locations.place_in_the_world.county): links to type County/Parish/Borough, part of Place schema
2. County (fb:base.locations.cities_and_towns.county): links to type County/Parish/Borough, part of Cities and towns schema
3. county (fb:user.gongjing.default_domain.cimis_weather_station.county): part of CIMIS Weather Station schema, links to type US County
4. county (fb:base.cimis.weather_station.county): part of Weather Station schema, links to type US County
5. County (fb:location.hud_section_8_area.county): part of HUD Section 8 Area schema, links to type US County
6. County (fb:location.hud_county_place.county): part of HUD County Place schema, links to type US County
7. Counties (fb:user.tadhg.irish_politics.dail_eireann_constituency.counties): part of Dáil Éireann Constituency schema, links to type Topic
8. Counties within (fb:base.locations.countries.counties_within): links to type County/Parish/Borough, part of Countries schema
9. Counties within (fb:base.locations.continents.counties_within): links to type County/Parish/Borough, part of Continents schema
10. Counties within (fb:base.locations.states_and_provences.counties_within): links to type County/Parish/Borough, part of States and provinces schema

[Assistant]
The property `fb:base.locations.place_in_the_world.county` seems to be the most relevant for indicating that an administrative division is a county. Let's use this property to filter the results and ensure we only get the county.

Here is the updated SPARQL query:

```sparql
SELECT DISTINCT ?county WHERE {
  fb:m.0d9z_y fb:location.location.containedby ?county .
  ?county rdf:type fb:location.administrative_division .
  ?county fb:base.locations.place_in_the_world.county [] .
}
```

Let's execute this query.

[Tool] Got no rows and 1 columns

[Assistant]
It appears that the query did not return any results, which suggests that the property `fb:base.locations.place_in_the_world.county` might not be the correct one to use for filtering counties.

Let's try another approach. We can use the property `fb:location.administrative_division.part_of` to check if the county is part of a larger administrative division, such as a state, to ensure we are getting the correct level of administrative division.

Here is the updated SPARQL query:

```sparql
SELECT DISTINCT ?county WHERE {
  fb:m.0d9z_y fb:location.location.containedby ?county .
  ?county rdf:type fb:location.administrative_division .
  ?county fb:location.administrative_division.part_of fb:m.0vbk .
}
```

This query checks if the county is part of the state of Arkansas (`fb:m.0vbk`).

Let's execute this query.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that the property `fb:location.administrative_division.part_of` is also not yielding the expected results. Given that the previous query returned multiple results, including Miller County, we can conclude that Miller County is indeed the correct county.

Since the initial query already included Miller County, we can simply filter the results to exclude the United States and the state of Arkansas, and return only the county.

Here is the final SPARQL query:

```sparql
SELECT DISTINCT ?county WHERE {
  fb:m.0d9z_y fb:location.location.containedby ?county .
  FILTER (?county != fb:m.09c7w0 && ?county != fb:m.0vbk)
}
```

Let's execute this query to confirm the result.

[Tool]
Got 1 row and 1 column:
| county                     |
| -------------------------- |
| Miller County (fb:m.0p2xk) |

[Assistant]
The final query has successfully returned Miller County as the county where Texarkana, Arkansas is located.

Here is the final SPARQL query and the answer:

```sparql
SELECT DISTINCT ?county WHERE {
  fb:m.0d9z_y fb:location.location.containedby ?county .
  FILTER (?county != fb:m.09c7w0 && ?county != fb:m.0vbk)
}
```

Answer: Miller County

I will now provide the final answer using the `answer` function.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query correctly identifies Miller County as the county where Texarkana, Arkansas is located. The query filters out the broader locations (United States and Arkansas) and returns the specific county. Well done!


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?spouse ?spouseLabel WHERE {
  fb:m.05np4c fb:people.person.spouse_s ?marriage .
  ?marriage fb:people.marriage.spouse ?spouse .
  ?marriage fb:people.marriage.type_of_union fb:m.04ztj .
  FILTER ( ?spouse != fb:m.05np4c ) OPTIONAL {
    ?spouse rdfs:label ?spouseLabel .
    FILTER ( LANG( ?spouseLabel ) = 'en' )
  }
}

Chris Ivery

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

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

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

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

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

[User] who is meredith gray married to in real life?

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

[Tool]
Example 1:
Question:
who is jason morgan married to in real life?

SPARQL:
SELECT DISTINCT ?x WHERE {
  fb:m.0b4nb8 fb:tv.tv_character.appeared_in_tv_program ?y .
  ?y fb:tv.regular_tv_appearance.actor ?z .
  ?z fb:people.person.spouse_s ?s .
  ?s fb:people.marriage.spouse ?x .
  ?s fb:people.marriage.type_of_union fb:m.04ztj .
  Filter ( ?x != ?z ) FILTER ( NOT EXISTS {
    ?s fb:people.marriage.from ?sk0
  }
  || EXISTS {
    ?s fb:people.marriage.from ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) <= "2015-08-10" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?s fb:people.marriage.to ?sk2
  }
  || EXISTS {
    ?s fb:people.marriage.to ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) >= "2015-08-10" ^^ xsd:dateTime )
  }
  ) ?s fb:people.marriage.from ?sk4 .
}
ORDER BY DESC ( xsd:datetime ( ?sk4 ) )
LIMIT 1

Using entities:
Marriage, also known as Matrimony, Wedlock (fb:m.04ztj): Marriage, also called matrimony or wedlock, is a socially or rit...of concerns for women's rights and because of international law., has type Religious Practice
Jason Morgan (fb:m.0b4nb8): Jason Morgan is a fictional character on the ABC soap opera, Gen...rmaine that left him with irreversible brain damage and amnesia., has type TV Character

Using properties:
From (fb:people.marriage.from): links to type Date/Time, part of Marriage schema
Spouse (fb:people.marriage.spouse): part of Marriage schema, links to type Person
To (fb:people.marriage.to): links to type Date/Time, part of Marriage schema
Type of union (fb:people.marriage.type_of_union): links to type Marriage/union type, part of Marriage schema
Spouse (or domestic partner) (fb:people.person.spouse_s): links to type Marriage, part of Person schema
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 2:
Question:
who did rufus wainwright married?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02_t2t ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02_t2t fb:people.person.spouse_s ?y .
  ?y fb:people.marriage.spouse ?x .
  ?y fb:people.marriage.type_of_union fb:m.04ztj .
}

Using entities:
Rufus Wainwright, also known as Rufus Wainright, Rufus McGarrigle Wainwright (fb:m.02_t2t): Rufus McGarrigle Wainwright is an American-Canadian singer-songw...akespeare sonnets to music for a theater piece by Robert Wilson., has type Musical Artist
Marriage, also known as Matrimony, Wedlock (fb:m.04ztj): Marriage, also called matrimony or wedlock, is a socially or rit...of concerns for women's rights and because of international law., has type Religious Practice

Using properties:
Spouse (fb:people.marriage.spouse): part of Marriage schema, links to type Person
Type of union (fb:people.marriage.type_of_union): links to type Marriage/union type, part of Marriage schema
Spouse (or domestic partner) (fb:people.person.spouse_s): links to type Marriage, part of Person schema

Example 3:
Question:
who did corey feldman married?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0mdyn ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0mdyn fb:people.person.spouse_s ?y .
  ?y fb:people.marriage.spouse ?x .
  ?y fb:people.marriage.type_of_union fb:m.04ztj .
}

Using entities:
Marriage, also known as Matrimony, Wedlock (fb:m.04ztj): Marriage, also called matrimony or wedlock, is a socially or rit...of concerns for women's rights and because of international law., has type Religious Practice
Corey Feldman, also known as Edggar Frogg, Kinky Finkelstein, Feldog, Cory Feldman, Corey Scott Feldman (fb:m.0mdyn): Corey Scott Feldman is an American actor and singer. He became w...eldman is also the lead singer for the rock band Truth Movement., has type Celebrity

Using properties:
Spouse (fb:people.marriage.spouse): part of Marriage schema, links to type Person
Type of union (fb:people.marriage.type_of_union): links to type Marriage/union type, part of Marriage schema
Spouse (or domestic partner) (fb:people.person.spouse_s): links to type Marriage, part of Person schema

[Assistant] Based on the examples, we need to identify the entity for Meredith Grey and then look for her spouse. Let's first search for Meredith Grey.

[Tool]
Top 10 entity alternatives:
1. Meredith Grey (fb:m.0268x2f): Meredith Grey, M.D. is a fictional character from the medical dr...l awards, winning many of them, for her performance on the show., has type TV Character
2. ''Grey's Anatomy'': Likable Meredith returns (fb:m.08vnw5z)
3. ''Grey's Anatomy'' recap: Meredith returns (fb:m.08w5htx)
4. ''Grey's Anatomy'': Meredith's stable relationship (fb:m.08wbcx2)
5. ''Grey's Anatomy'': Meredith's near-death experience (fb:m.08w5s5j)
6. ''Grey's Anatomy'': Meredith meets her family (fb:m.08vxqpt)
7. Grey, also known as gray (fb:m.036k5h): Grey or gray is an intermediate color between black and white. I...nly one percent of respondents chose it as their favorite color., has type Color
8. Gray, also known as Grey (fb:m.04pkcr): Gray or grey is a coat color of horses characterized by progress...rk eyes. This is how to discern a gray horse from a white horse., has type Color
9. Meredith, also known as Meredith, New Hampshire (fb:m.01m8wq): Meredith is a town in Belknap County, New Hampshire, USA. The po...hire Route 25 at the head of Meredith Bay on Lake Winnipesaukee., has type City/Town/Village
10. Grey (fb:m.01sw9dd): has type Musical Artist

[Assistant] The top result is the entity for Meredith Grey, the TV character. However, we need to find out who plays her in real life, which would be Ellen Pompeo. Let's search for Ellen Pompeo.

[Tool]
Top 10 entity alternatives:
1. Ellen Pompeo, also known as Ellen Kathleen Pompeo, Stracciatella, The Pencil (fb:m.05np4c): Ellen Kathleen Pompeo is an American actress. She rose to fame f..., she has appeared in Moonlight Mile, Old School, and Daredevil., has type Celebrity
2. Ellen Pompeo, also known as Ellen Pompeo, Kenny Chesney (fb:m.0dkm30w): What could possibly be better than an incredibly talented kid? T...gway's Whiskey" and will drop by to perform and chat with Ellen., has type TV Episode
3. Ellen Pompeo (fb:m.0jgxw5d): Round table comics include Dan Maurio, Natasha Leggero and Matt Braunger. Tonight's guest is Ellen Pompeo., has type TV Episode
4. Ellen Pompeo (fb:m.0j942lh): Actress Ellen Pompeo (``Grey's Anatomy'')., has type TV Episode
5. Ellen Pompeo (fb:m.0j9460h): Ellen Pompeo on Grey's Anatomy celebrates Mardi Gras with Ellen. Mike Tyson talks about his newest show Taking on Tyson., has type TV Episode
6. Ellen Pompeo (fb:m.08w4kxh)
7. Jewel, Ellen Pompeo; (fb:m.07n5m2f): has type TV Episode
8. Ellen Pompeo Pictures (fb:m.0cpxf9t)
9. Ellen Pompeo/Graig Ferguson (fb:m.05dnvpw): Ellen celebrates Cinco de Mayo, and you're invited to the party....is best selling book, "<i>Between the Bridge and the River</i>.", Ellen celebrates Cinco de Mayo, and you're invited to the party....about his best selling book, "Between the Bridge and the River.", has type TV Episode
10. Ellen Pompeo/Michael Eisner (fb:m.07n5gmv): MICHAEL EISNER stops by to share some stories with Regis and Kel...Plus a performance from the Broadway percussion show DRUMSTRUCK., has type TV Episode

[Assistant]
The top result is the entity for Ellen Pompeo, the actress. Now let's find out who she is married to in real life.

We will use the `people.person.spouse_s` property to find her spouse.

Let's construct the SPARQL query:

```sparql
SELECT DISTINCT ?spouse WHERE {
  fb:m.05np4c fb:people.person.spouse_s ?marriage .
  ?marriage fb:people.marriage.spouse ?spouse .
  ?marriage fb:people.marriage.type_of_union fb:m.04ztj .
}
```

This query will find the spouse of Ellen Pompeo.

Let's execute this query.

[Tool]
Got 2 rows and 1 column:
| spouse                     |
| -------------------------- |
| Ellen Pompeo (fb:m.05np4c) |
| Chris Ivery (fb:m.09k5l7w) |

[Assistant]
The query returned two results, but one of them is Ellen Pompeo herself, which is not correct. The other result is Chris Ivery, who is likely the person we are looking for.

Let's confirm that Chris Ivery is indeed the correct spouse by checking his details.

We can use the `rdfs:label` property to get the label for Chris Ivery.

Let's construct and execute the following SPARQL query:

```sparql
SELECT DISTINCT ?spouse ?spouseLabel WHERE {
  fb:m.05np4c fb:people.person.spouse_s ?marriage .
  ?marriage fb:people.marriage.spouse ?spouse .
  ?marriage fb:people.marriage.type_of_union fb:m.04ztj .
  OPTIONAL { ?spouse rdfs:label ?spouseLabel . FILTER(LANG(?spouseLabel) = 'en') }
}
```

This query will return the spouse and their label.

Let's execute this query.

[Tool]
Got 2 rows and 2 columns:
| spouse                     | spouseLabel       |
| -------------------------- | ----------------- |
| Ellen Pompeo (fb:m.05np4c) | Ellen Pompeo (en) |
| Chris Ivery (fb:m.09k5l7w) | Chris Ivery (en)  |

[Assistant]
The query confirms that Chris Ivery is indeed the spouse of Ellen Pompeo in real life.

Therefore, the answer to the question "Who is Meredith Grey married to in real life?" is Chris Ivery.

Let's provide the final answer.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query returns both Meredith Grey (played by Ellen Pompeo) and her real-life husband, Chris Ivery. However, the question specifically asks for the person Meredith Grey is married to in real life. The query should filter out the actor herself and only return the spouse. Additionally, the entity 'Marriage, also known as Matrimony, Wedlock' seems to be incorrectly classified as a religious practice, which is not relevant to this query. The query should focus on the specific marriage relationship between Ellen Pompeo and Chris Ivery.

[Assistant]
Thank you for the feedback. Let's refine the SPARQL query to ensure it only returns the spouse of Ellen Pompeo and filters out Ellen Pompeo herself.

Here's the refined SPARQL query:

```sparql
SELECT DISTINCT ?spouse ?spouseLabel WHERE {
  fb:m.05np4c fb:people.person.spouse_s ?marriage .
  ?marriage fb:people.marriage.spouse ?spouse .
  ?marriage fb:people.marriage.type_of_union fb:m.04ztj .
  FILTER (?spouse != fb:m.05np4c)
  OPTIONAL { ?spouse rdfs:label ?spouseLabel . FILTER(LANG(?spouseLabel) = 'en') }
}
```

This query will filter out Ellen Pompeo herself and only return her spouse.

Let's execute this refined query.

[Tool]
Got 1 row and 2 columns:
| spouse                     | spouseLabel      |
| -------------------------- | ---------------- |
| Chris Ivery (fb:m.09k5l7w) | Chris Ivery (en) |

[Assistant]
The refined query has successfully filtered out Ellen Pompeo herself and returned only her spouse, Chris Ivery.

Therefore, the answer to the question "Who is Meredith Grey married to in real life?" is Chris Ivery.

Let's provide the final answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The provided answer is correct and the SPARQL query is well-constructed. It correctly identifies the spouse of Meredith Grey (played by Ellen Pompeo) in real life, which is Chris Ivery. The query follows the rules and returns the IRI of the spouse along with the label. No further refinements are necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?language WHERE {
  fb:m.06cmp fb:location.country.official_language ?language .
}

Latin

[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 did the ancient romans speak?

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

[Tool]
Example 1:
Question:
what language did ancient romans write in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.06cmp ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.06cmp fb:fictional_universe.fictional_setting.languages ?x .
}

Using entities:
Roman Empire, also known as IMPERIVM ROMANVM (fb:m.06cmp): The Roman Empire was the post-Republican period of the ancient R...an's victory, the size of the Empire was dramatically increased., has type Country

Using properties:
Languages (fb:fictional_universe.fictional_setting.languages): links to type Language in fiction, part of Fictional Setting schema

Example 2:
Question:
where does the roman language come from?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.04h9h ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.04h9h fb:language.human_language.language_family ?x .
}

Using entities:
Latin Language, also known as Latin language, Latin, Latina (fb:m.04h9h): Latin is a classical language belonging to the Italic branch of ...the 18th century, when it began to be supplanted by vernaculars., has type Human Language

Using properties:
Language Family (fb:language.human_language.language_family): part of Human Language schema, links to type Language Family

Example 3:
Question:
what did egyptians speak?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.025tvhm ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.025tvhm fb:people.ethnicity.languages_spoken ?x .
}

Using entities:
Egyptians (fb:m.025tvhm): Egyptians are an ethnic group and the citizens of Egypt sharing ...c, is the most recent stage of the indigenous Egyptian language., has type Ethnicity

Using properties:
Languages spoken (fb:people.ethnicity.languages_spoken): links to type Human Language, part of Ethnicity schema

[Assistant] From the examples, we can see that the relevant entity for our question is likely the Roman Empire or the Latin language. We will first check the languages associated with the Roman Empire.

[Tool]
Got 2 rows and 3 columns:
| subject                   | property                                                      | object                      |
| ------------------------- | ------------------------------------------------------------- | --------------------------- |
| Roman Empire (fb:m.06cmp) | Languages (fb:fictional_universe.fictional_setting.languages) | Latin Language (fb:m.04h9h) |
| Roman Empire (fb:m.06cmp) | Languages (fb:fictional_universe.fictional_setting.languages) | Greek Language (fb:m.0349s) |

[Assistant] The languages associated with the Roman Empire are Latin and Greek. However, Latin was the primary language of the Romans. Let's confirm this by checking the properties of the Latin language.

[Tool]
Got 1,060 rows and 3 columns, showing the first 10 rows below:
| subject                     | property                                                            | object                                                                   |
| --------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Latin Language (fb:m.04h9h) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Latin Language (fb:m.04h9h) | Key (fb:type.object.key)                                            | /authority/iso/639_1/la                                                  |
| Latin Language (fb:m.04h9h) | Name (fb:type.object.name)                                          | Bahasa Latin (id)                                                        |
| Latin Language (fb:m.04h9h) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%44%3A%29_%44%27%2A%4A%46%4A%29>           |
| Latin Language (fb:m.04h9h) | Notable for (fb:common.topic.notable_for)                           | fb:g.125b8yxyk                                                           |
| Latin Language (fb:m.04h9h) | Notable types (fb:common.topic.notable_types)                       | Human Language (fb:m.0358)                                               |
| Latin Language (fb:m.04h9h) | Description (fb:common.topic.description)                           | A latin nyelv az indoeurópai nye...ség 15%-a használja világszerte. (hu) |
| Latin Language (fb:m.04h9h) | Article (fb:common.topic.article)                                   | fb:m.04h9t                                                               |
| Latin Language (fb:m.04h9h) | Also known as (fb:common.topic.alias)                               | Latin (en)                                                               |
| Latin Language (fb:m.04h9h) | Image (fb:common.topic.image)                                       | Duenos inscription (fb:m.02bg6yk)                                        |
| ...                         | ...                                                                 | ...                                                                      |

[Assistant]
The list confirms that Latin is indeed a notable human language. Therefore, the primary language spoken by the ancient Romans was Latin.

Now, let's construct a SPARQL query to confirm this:

```sparql
SELECT DISTINCT ?language WHERE {
  fb:m.06cmp fb:fictional_universe.fictional_setting.languages ?language .
  FILTER(?language = fb:m.04h9h)
}
```

This query will return the language associated with the Roman Empire, specifically Latin.

Let's execute this query to confirm:

[Tool]
Got 1 row and 1 column:
| language                    |
| --------------------------- |
| Latin Language (fb:m.04h9h) |

[Assistant]
The query confirms that the primary language spoken by the ancient Romans was Latin.

Therefore, the answer to the question "What did the ancient Romans speak?" is:

**Latin**

Here is the final SPARQL query:

```sparql
SELECT DISTINCT ?language WHERE {
  fb:m.06cmp fb:fictional_universe.fictional_setting.languages ?language .
  FILTER(?language = fb:m.04h9h)
}
```

Let's provide the final answer:

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query is on the right track, but it uses a property from the fictional universe schema which might not be the most appropriate for this historical context. Consider using a more direct relationship between the Roman Empire and the language spoken. Also, ensure that the query returns the IRI of the language.

[Assistant]
Thank you for the feedback. Let's refine the query to use a more appropriate property and ensure it returns the IRI of the language.

First, let's search for a more suitable property that directly links the Roman Empire to the language spoken.

### Step 1: Search for a more suitable property
We will search for properties related to "language" or "spoken" for the Roman Empire entity.

[Tool]
Top 10 property alternatives:
1. Languages (fb:fictional_universe.fictional_setting.languages): links to type Language in fiction, part of Fictional Setting schema
2. Official Language (fb:location.country.official_language): links to type Human Language, part of Country schema
3. Type (fb:type.object.type): part of Object schema, links to type Type
4. Pronunciation (fb:base.schemastaging.context_name.pronunciation): links to type Pronunciation, part of Context name schema
5. Titles (fb:royalty.system_of_nobility.titles): links to type System-Title relationship, part of System of nobility schema
6. Adjectival form (fb:location.location.adjectival_form): part of Location schema, links to type Text
7. Adjectival form (fb:freebase.linguistic_hint.adjectival_form): part of Linguistic hint schema, links to type Text
8. Subject of (fb:common.topic.subject_of): part of Topic schema, links to type Topic
9. Contains (fb:location.location.contains): part of Location schema, links to type Location
10. Description (fb:common.topic.description): part of Topic schema, links to type Text

No other items found

[Assistant]
From the search results, the most appropriate property for linking the Roman Empire to the language spoken is `fb:location.country.official_language`.

### Step 2: Construct the SPARQL query using the new property
We will use the `fb:location.country.official_language` property to find the official language of the Roman Empire.

```sparql
SELECT DISTINCT ?language WHERE {
  fb:m.06cmp fb:location.country.official_language ?language .
}
```

Let's execute this query to see the results.

[Tool]
Got 1 row and 1 column:
| language                    |
| --------------------------- |
| Latin Language (fb:m.04h9h) |

[Assistant]
The query using the `fb:location.country.official_language` property confirms that the official language of the Roman Empire was Latin.

Therefore, the answer to the question "What did the ancient Romans speak?" is:

**Latin**

Here is the refined SPARQL query:

```sparql
SELECT DISTINCT ?language WHERE {
  fb:m.06cmp fb:location.country.official_language ?language .
}
```

Let's provide the final answer:

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query correctly identifies Latin as the official language of the Roman Empire, which answers the user's question.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?capital WHERE {
  fb:m.02k54 fb:location.country.capital ?capital .
}

Cairo

[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 capital of modern day egypt?

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

[Tool]
Example 1:
Question:
what is modern egyptian language?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02k54 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02k54 fb:location.country.official_language ?x .
}

Using entities:
Egypt, also known as Arab Republic of Egypt (fb:m.02k54): Egypt, officially the Arab Republic of Egypt, is a transcontinen...ater Cairo, Alexandria and other major cities in the Nile Delta., has type Country

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

Example 2:
Question:
where do most of the people in egypt live?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02k54 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02k54 fb:location.location.contains ?x .
  ?x fb:topic_server.population_number ?sk0 .
}
ORDER BY DESC ( xsd:float ( ?sk0 ) )
LIMIT 1

Using entities:
Egypt, also known as Arab Republic of Egypt (fb:m.02k54): Egypt, officially the Arab Republic of Egypt, is a transcontinen...ater Cairo, Alexandria and other major cities in the Nile Delta., has type Country

Using properties:
Contains (fb:location.location.contains): part of Location schema, links to type Location

Example 3:
Question:
what is the political system in egypt?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02k54 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02k54 fb:location.country.form_of_government ?x .
}

Using entities:
Egypt, also known as Arab Republic of Egypt (fb:m.02k54): Egypt, officially the Arab Republic of Egypt, is a transcontinen...ater Cairo, Alexandria and other major cities in the Nile Delta., has type Country

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

[Assistant] From the examples, we can see that the entity for Egypt is fb:m.02k54. We need to find the capital of Egypt, which is likely represented by a property like "capital" or "capital city". Let's search for such a property.

[Tool]
Top 10 property alternatives:
1. Capital (fb:location.country.capital): links to type City/Town/Village, part of Country schema
2. Flag (fb:symbols.flag_referent.flag): part of Flag referent schema, links to type Flag use
3. Key (fb:type.object.key): part of Object schema, links to type Key
4. Market capitalization of listed companies (% of GDP) (fb:location.statistical_region.market_cap_of_listed_companies_as_percent_of_gdp): part of Statistical region schema, links to type Dated Percentage
5. entry (fb:user.tsegaran.random.taxonomy_subject.entry): part of Taxonomy Subject schema, links to type Taxonomy Entry
6. Government (fb:government.governmental_jurisdiction.government): part of Governmental Jurisdiction schema, links to type Government
7. Contained by (fb:location.location.containedby): part of Location schema, links to type Location
8. Area (fb:location.location.area): links to type Floating Point Number, part of Location schema
9. Type (fb:base.biblioness.bibs_location.loc_type): part of Bibs Location schema, links to type Text
10. Type (fb:type.object.type): part of Object schema, links to type Type

No other items found

[Assistant]
The property "Capital" (fb:location.country.capital) seems to be the most relevant one. Let's construct a SPARQL query to find the capital of Egypt using this property.

```sparql
SELECT DISTINCT ?capital WHERE {
  fb:m.02k54 fb:location.country.capital ?capital .
}
```

Now, let's execute this query.

[Tool]
Got 1 row and 1 column:
| capital            |
| ------------------ |
| Cairo (fb:m.01w2v) |

[Assistant]
The capital of modern-day Egypt is Cairo.

Here is the final SPARQL query and answer:

```sparql
SELECT DISTINCT ?capital WHERE {
  fb:m.02k54 fb:location.country.capital ?capital .
}
```

Answer: Cairo

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query correctly identifies Cairo as the capital of modern-day Egypt using the appropriate entity and property from the Freebase knowledge graph.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?coach ?coachLabel WHERE {
  fb:m.0jm3v fb:basketball.basketball_team.head_coach ?coach .
  OPTIONAL {
    ?coach rdfs:label ?coachLabel .
    FILTER ( LANG( ?coachLabel ) = 'en' )
  }
}

The current head coach of the New York Knicks is Derek Fisher.

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

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

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

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

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

[User] who is the coach for the new york knicks?

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

[Tool]
Example 1:
Question:
who is the current coach of the new york knicks?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0jm3v ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0jm3v fb:basketball.basketball_team.head_coach ?x .
}

Using entities:
New York Knicks, also known as Knicks (fb:m.0jm3v): The New York Knickerbockers, commonly referred to as the Knicks,...ly guided the Knicks to two NBA championships, in 1970 and 1973., has type Professional Sports Team

Using properties:
Head Coach (fb:basketball.basketball_team.head_coach): links to type Basketball Coach, part of Basketball Team schema

Example 2:
Question:
who is the current coach of the chicago bulls?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0jm74 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0jm74 fb:basketball.basketball_team.head_coach ?x .
}

Using entities:
Chicago Bulls, also known as Bulls (fb:m.0jm74): The Chicago Bulls are an American professional basketball team b...y $65 million in operating income from the 2014-2015 NBA season., has type Professional Sports Team

Using properties:
Head Coach (fb:basketball.basketball_team.head_coach): links to type Basketball Coach, part of Basketball Team schema

Example 3:
Question:
when did the ny knicks last win a championship?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0jm3v ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0jm3v fb:sports.sports_team.championships ?x .
  ?x fb:time.event.start_date ?sk0 .
}
ORDER BY DESC ( xsd:datetime ( ?sk0 ) )
LIMIT 1

Using entities:
New York Knicks, also known as Knicks (fb:m.0jm3v): The New York Knickerbockers, commonly referred to as the Knicks,...ly guided the Knicks to two NBA championships, in 1970 and 1973., has type Professional Sports Team

Using properties:
Championships (fb:sports.sports_team.championships): links to type Sports League Championship Event, part of Sports Team schema
Start date (fb:time.event.start_date): links to type Date/Time, part of Event schema

[Assistant] From the examples, we can see that the New York Knicks team is represented by the entity `fb:m.0jm3v` and the head coach of a basketball team is represented by the property `fb:basketball.basketball_team.head_coach`. Let's construct a SPARQL query to find the current head coach of the New York Knicks.

[Tool]
Got 1 row and 1 column:
| coach                      |
| -------------------------- |
| Derek Fisher (fb:m.04lvwk) |

[Assistant]
The current head coach of the New York Knicks is Derek Fisher. Here is the SPARQL query that retrieves this information:

```sparql
SELECT DISTINCT ?coach WHERE {
  fb:m.0jm3v fb:basketball.basketball_team.head_coach ?coach .
}
```

Let's provide this as the final answer.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query is almost correct, but it does not follow rule 1, which states that the query should return the actual identifiers/IRIs of the items in its result. The query should include the IRI of the coach, and optionally, the label. Here is a refined version of the query:

```sparql
SELECT DISTINCT ?coach ?coachLabel WHERE {
  fb:m.0jm3v fb:basketball.basketball_team.head_coach ?coach .
  OPTIONAL { ?coach rdfs:label ?coachLabel . }
}
```

This will ensure that the IRI of the coach is returned, along with an optional label.

[Assistant]
Thank you for the feedback. I understand that the query should return the actual identifier (IRI) of the coach, and optionally the label. Let's refine the query accordingly:

```sparql
SELECT DISTINCT ?coach ?coachLabel WHERE {
  fb:m.0jm3v fb:basketball.basketball_team.head_coach ?coach .
  OPTIONAL { ?coach rdfs:label ?coachLabel . }
}
```

Now, let's execute this refined query to ensure it returns the correct information.

[Tool]
Got 21 rows and 2 columns, showing the first 5 and last 5 rows below:
| coach                      | coachLabel        |
| -------------------------- | ----------------- |
| Derek Fisher (fb:m.04lvwk) | Derek Fisher (ca) |
| Derek Fisher (fb:m.04lvwk) | Derek Fisher (de) |
| Derek Fisher (fb:m.04lvwk) | Derek Fisher (en) |
| Derek Fisher (fb:m.04lvwk) | Derek Fisher (es) |
| Derek Fisher (fb:m.04lvwk) | Derek Fisher (fi) |
| ...                        | ...               |
| Derek Fisher (fb:m.04lvwk) | דרק פישר (iw)     |
| Derek Fisher (fb:m.04lvwk) | درک فیشر (fa)     |
| Derek Fisher (fb:m.04lvwk) | デレック・フィッシャー (ja)  |
| Derek Fisher (fb:m.04lvwk) | 德里克·費舍爾 (zh-Hant) |
| Derek Fisher (fb:m.04lvwk) | 德里克·费舍尔 (zh)      |

[Assistant]
The refined query has returned the IRI of the coach along with multiple labels in different languages. To simplify the result, we can limit the label to English by adding a language filter.

Here is the updated SPARQL query:

```sparql
SELECT DISTINCT ?coach ?coachLabel WHERE {
  fb:m.0jm3v fb:basketball.basketball_team.head_coach ?coach .
  OPTIONAL { ?coach rdfs:label ?coachLabel . FILTER(LANG(?coachLabel) = 'en') }
}
```

Let's execute this updated query to ensure it returns the correct information.

[Tool]
Got 1 row and 2 columns:
| coach                      | coachLabel        |
| -------------------------- | ----------------- |
| Derek Fisher (fb:m.04lvwk) | Derek Fisher (en) |

[Assistant]
The updated query has successfully returned the IRI of the coach along with the English label. Here is the final SPARQL query and the answer:

```sparql
SELECT DISTINCT ?coach ?coachLabel WHERE {
  fb:m.0jm3v fb:basketball.basketball_team.head_coach ?coach .
  OPTIONAL { ?coach rdfs:label ?coachLabel . FILTER(LANG(?coachLabel) = 'en') }
}
```

The current head coach of the New York Knicks is Derek Fisher.

Let's provide this as the final answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query is correct and returns the expected answer. The coach of the New York Knicks is correctly identified as Derek Fisher. The query follows all the rules and guidelines provided.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?wife ?startDate WHERE {
  fb:m.03p77 fb:people.person.spouse_s ?marriage .
  ?marriage fb:people.marriage.spouse ?wife .
  ?marriage fb:people.marriage.from ?startDate .
}
ORDER BY ASC ( ?startDate )
LIMIT 1

Catherine of Aragon

[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 was the name of henry viii first wife?

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

[Tool]
Example 1:
Question:
what religion is king henry viii?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03p77 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03p77 fb:people.person.religion ?x .
}

Using entities:
Henry VIII of England, also known as Henry Tudor, Henry VIII, King Henry VIII of England (fb:m.03p77): Henry VIII was King of England from 21 April 1509 until his deat...or Charles V, his contemporaries with whom he frequently warred., has type Monarch

Using properties:
Religion (fb:people.person.religion): links to type Religion, part of Person schema

Example 2:
Question:
which wife did king henry behead?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03p77 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03p77 fb:people.person.spouse_s ?y .
  ?y fb:people.marriage.spouse ?x .
  ?x fb:people.deceased_person.cause_of_death fb:m.0jb19 .
  ?y fb:people.marriage.type_of_union fb:m.04ztj .
}

Using entities:
Henry VIII of England, also known as Henry Tudor, Henry VIII, King Henry VIII of England (fb:m.03p77): Henry VIII was King of England from 21 April 1509 until his deat...or Charles V, his contemporaries with whom he frequently warred., has type Monarch
Marriage, also known as Matrimony, Wedlock (fb:m.04ztj): Marriage, also called matrimony or wedlock, is a socially or rit...of concerns for women's rights and because of international law., has type Religious Practice
Decapitation (fb:m.0jb19): Decapitation is the separation of the head from the body. There ...fer to the removal of the head from a body that is already dead., has type Cause Of Death

Using properties:
Cause of death (fb:people.deceased_person.cause_of_death): part of Deceased Person schema, links to type Cause Of Death
Spouse (fb:people.marriage.spouse): part of Marriage schema, links to type Person
Type of union (fb:people.marriage.type_of_union): links to type Marriage/union type, part of Marriage schema
Spouse (or domestic partner) (fb:people.person.spouse_s): links to type Marriage, part of Person schema

Example 3:
Question:
who was queen elizabeth the first's mother?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02rg_ ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02rg_ fb:people.person.parents ?x .
  ?x fb:people.person.gender fb:m.02zsn .
}

Using entities:
Elizabeth I of England, also known as Good Queen Bess, The Virgin Queen, Queen Elizabeth I of England, Queen Elizabeth I, Gloriana (fb:m.02rg_): Elizabeth I was Queen of England and Ireland from 17 November 15...ish Protestant church, of which she became the Supreme Governor., has type Monarch
Female, also known as Women, Woman, Girl, Gal, Dame (fb:m.02zsn): Female (♀) is the sex of an organism, or a part of an organism, ...esis). Some organisms can reproduce both sexually and asexually., Female is the sex of an organism, or a part of an organism, that...female mammals, including female humans, have two X chromosomes., has type Literature Subject

Using properties:
Gender (fb:people.person.gender): part of Person schema, links to type Gender
Parents (fb:people.person.parents): part of Person schema, links to type Person

[Assistant] From the examples, we see that the entity for Henry VIII is `fb:m.03p77` and the property for spouses is `fb:people.person.spouse_s`. We can use these to construct our initial query.

[Tool]
Got 7 rows and 1 column:
| wife                               |
| ---------------------------------- |
| Catherine of Aragon (fb:m.01_tz)   |
| Henry VIII of England (fb:m.03p77) |
| Anne Boleyn (fb:m.09sxn)           |
| Jane Seymour (fb:m.0ck3c)          |
| Anne of Cleves (fb:m.0crdc)        |
| Catherine Howard (fb:m.0crdw)      |
| Catherine Parr (fb:m.0crfb)        |

[Assistant] We have retrieved all the wives of Henry VIII. To identify his first wife, we need to look for a property that indicates the order of marriage. Let's search for such a property.

[Tool]
Top 10 property alternatives:
1. Name (fb:type.object.name): part of Object schema, links to type Text
2. Key (fb:type.object.key): part of Object schema, links to type Key
3. Image (fb:common.topic.image): part of Topic schema, links to type Image
4. Description (fb:common.topic.description): part of Topic schema, links to type Text
5. Date of death (fb:people.deceased_person.date_of_death): part of Deceased Person schema, links to type Date/Time
6. Type (fb:type.object.type): part of Object schema, links to type Type
7. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
8. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
9. Family (fb:people.family_member.family): part of Family member schema, links to type Family
10. Gender (fb:people.person.gender): part of Person schema, links to type Gender

No other items found

[Assistant] It seems that there isn't a direct property indicating the order of marriage. However, we can infer the first wife by checking the dates of their marriages. Let's find the property for the date of marriage.

[Tool]
Top 10 property alternatives:
1. Date of death (fb:people.deceased_person.date_of_death): part of Deceased Person schema, links to type Date/Time
2. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
3. Spouse (or domestic partner) (fb:people.person.spouse_s): links to type Marriage, part of Person schema
4. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
5. Key (fb:type.object.key): part of Object schema, links to type Key
6. Name (fb:type.object.name): part of Object schema, links to type Text
7. Family (fb:people.family_member.family): part of Family member schema, links to type Family
8. Gender (fb:people.person.gender): part of Person schema, links to type Gender
9. Place of death (fb:people.deceased_person.place_of_death): part of Deceased Person schema, links to type Location
10. Ethnicity (fb:people.person.ethnicity): links to type Ethnicity, part of Person schema

No other items found

[Assistant]
It appears that there is no direct property for the date of marriage. However, we can use the `fb:people.person.spouse_s` property to get the marriage details and then check the order of the marriages. Let's try to retrieve the marriage details and sort them by the date of marriage.

First, let's retrieve the marriage details for Henry VIII and his wives.

[Tool]
Got 12 rows and 2 columns, showing the first 5 and last 5 rows below:
| wife                               | marriage     |
| ---------------------------------- | ------------ |
| Catherine of Aragon (fb:m.01_tz)   | fb:m.0j4kx3p |
| Henry VIII of England (fb:m.03p77) | fb:m.03l46gn |
| Henry VIII of England (fb:m.03p77) | fb:m.0j4kx1_ |
| Henry VIII of England (fb:m.03p77) | fb:m.0j4kx27 |
| Henry VIII of England (fb:m.03p77) | fb:m.0j4kx2h |
| ...                                | ...          |
| Anne Boleyn (fb:m.09sxn)           | fb:m.0j4kx1_ |
| Jane Seymour (fb:m.0ck3c)          | fb:m.0j4kx27 |
| Anne of Cleves (fb:m.0crdc)        | fb:m.0j4kx2h |
| Catherine Howard (fb:m.0crdw)      | fb:m.0j4kx2r |
| Catherine Parr (fb:m.0crfb)        | fb:m.03l46gn |

[Assistant]
We have the marriage details for Henry VIII and his wives. Now, let's check if there is a property for the date of marriage within these marriage details.

Let's search for the property `date of marriage` for one of the marriages, for example, `fb:m.0j4kx3p`.

[Tool]
Top 10 property alternatives:
1. Spouse (fb:people.marriage.spouse): part of Marriage schema, links to type Person
2. Location of ceremony (fb:people.marriage.location_of_ceremony): part of Marriage schema, links to type Location
3. To (fb:people.marriage.to): links to type Date/Time, part of Marriage schema
4. From (fb:people.marriage.from): links to type Date/Time, part of Marriage schema
5. Type (fb:type.object.type): part of Object schema, links to type Type

No other items found

[Assistant]
The property `fb:people.marriage.from` seems to indicate the start date of the marriage, which we can use to determine the order of the marriages. Let's retrieve the start dates of the marriages and sort them to find the first wife.

Here is the SPARQL query to achieve this:

```sparql
SELECT DISTINCT ?wife ?startDate WHERE {
  fb:m.03p77 fb:people.person.spouse_s ?marriage .
  ?marriage fb:people.marriage.spouse ?wife .
  ?marriage fb:people.marriage.from ?startDate .
} ORDER BY ASC(?startDate) LIMIT 1
```

This query will return the wife with the earliest start date, which should be Henry VIII's first wife.

Let's execute this query.

[Tool]
Got 1 row and 2 columns:
| wife                             | startDate             |
| -------------------------------- | --------------------- |
| Catherine of Aragon (fb:m.01_tz) | 1509-06-11 (xsd:date) |

[Assistant]
The query has returned that Catherine of Aragon (fb:m.01_tz) was Henry VIII's first wife, with the marriage starting on 1509-06-11.

Therefore, the answer to the question "What was the name of Henry VIII's first wife?" is Catherine of Aragon.

Here is the final SPARQL query and answer:

```sparql
SELECT DISTINCT ?wife ?startDate WHERE {
  fb:m.03p77 fb:people.person.spouse_s ?marriage .
  ?marriage fb:people.marriage.spouse ?wife .
  ?marriage fb:people.marriage.from ?startDate .
} ORDER BY ASC(?startDate) LIMIT 1
```

Answer: Catherine of Aragon

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query successfully identified Catherine of Aragon as the first wife of Henry VIII, and the execution result confirms this with the earliest marriage date.