PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?location ?locationLabel WHERE {
  fb:m.0hrf6ww fb:time.event.locations ?location .
  OPTIONAL {
    ?location rdfs:label ?locationLabel .
  }
}

The 2012 Masters Tournament was held at Augusta National Golf Course.

[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 is augusta masters 2012?

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

[Tool]
Example 1:
Question:
where jay z was raised?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01vw20h ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01vw20h fb:people.person.place_of_birth ?x .
}

Using entities:
Jay-Z, also known as Lucky Lefty, S-dot, Shawn Carter, Shawn C. Carter, Shawn Corey Carter (fb:m.01vw20h): Shawn Corey Carter, known by his stage name Jay Z, is an America...y Roc Nation Sports and is a certified NBA and MLB sports agent., has type Musical Artist

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

Example 2:
Question:
who runs the cornelia marie now?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02qn24x ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02qn24x fb:boats.ship.owners ?y .
  ?y fb:boats.ship_ownership.owner ?x .
}

Using entities:
FV Cornelia Marie (fb:m.02qn24x): The FV Cornelia Marie is one of the commercial crab fishing boat... repowered the boat with new diesels and repaired her structure., has type Ship

Using properties:
Owners (fb:boats.ship.owners): links to type Ship ownership, part of Ship schema
Owner (fb:boats.ship_ownership.owner): part of Ship ownership schema, links to type Ship owner

Example 3:
Question:
what do you speak in singapore?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.06t2t ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.06t2t fb:location.country.languages_spoken ?x .
}

Using entities:
Singapore, also known as Singapura, Republic of Singapore (fb:m.06t2t): Singapore, officially the Republic of Singapore, is a modern cit...Singapore became one of the British Straits Settlements in 1826., has type Country

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

[Assistant] Based on the examples, we need to identify the entity for "augusta masters 2012" and the property that indicates its location. Let's start by searching for the entity "augusta masters 2012".

[Tool]
Top 10 entity alternatives:
1. 2012 Masters (fb:m.0hgmjk_): The 2012 BGC Masters was a professional non-ranking snooker tour...10–6 in the final. This was Robertson's 10th professional title.
2. 2012 Sony Ericsson Open, also known as 2012 Miami Masters (fb:m.0j45mwb): The 2012 Sony Ericsson Open, a men's and women's tennis tourname...orld Tour Masters 1000 and Premier Mandatory event respectively., has type Multi-event tournament
3. 2012 Masters Tournament (fb:m.0hrf6ww): The 2012 Masters Tournament was the 76th Masters Tournament, hel...the Masters; Ángel Cabrera won on the second extra hole in 2009., has type Competition
4. 2012 German Masters (fb:m.0h94dr5): The 2012 PartyPoker.net German Masters was a professional rankin...3rd ranking title by defeating Stephen Maguire 9–7 in the final.
5. 2012 Shanghai Masters (fb:m.0k9791z): The 2012 Bank of Communication Shanghai Masters was a profession... break and also the third maximum break of the 2012/2013 season.
6. 2012 Polish Masters (fb:m.0kbhwdv): The 2012 Polish Masters was an exhibition international club foo...n Miejski in Wrocław, Poland. This was the first Polish Masters.
7. Pre Masters 2012 (fb:m.010csfc8): has type Musical Release
8. Pre Masters 2012 (fb:m.010czwcx): has type Musical Album
9. 2012 Copenhagen Masters (fb:m.0pcllzl): The 2012 Copenhagen Masters was the 20th edition of the invitati...exhibition match against Lin Dan, where Gade emerged victorious.
10. 2012 Zuiderduin Masters (fb:m.012bny2f): The 2013 Zuiderduin Masters was a BDO/WDF darts tournament that ... tournament for the first time beating Alan Norris in the final.

[Assistant]
The correct entity for "augusta masters 2012" seems to be "2012 Masters Tournament" (fb:m.0hrf6ww). Now, let's find out the property that indicates the location of this tournament.

I will search for properties related to the location for this entity.

[Tool]
Top 10 property alternatives:
1. Location(s) (fb:time.event.locations): links to type Location, part of Event schema
2. Name (fb:type.object.name): part of Object schema, links to type Text
3. Description (fb:common.topic.description): part of Topic schema, links to type Text
4. Key (fb:type.object.key): part of Object schema, links to type Key
5. Article (fb:common.topic.article): links to type Document, part of Topic schema
6. Winner (fb:award.competition.winner): part of Competition schema, links to type Competitor
7. Championship (fb:sports.sports_championship_event.championship): part of Sports League Championship Event schema, links to type Sports League Championship
8. Type (fb:type.object.type): part of Object schema, links to type Type
9. Start date (fb:time.event.start_date): links to type Date/Time, part of Event schema
10. End date (fb:time.event.end_date): links to type Date/Time, part of Event schema

No other items found

[Assistant]
The property "Location(s)" (fb:time.event.locations) seems to be the most relevant for finding the location of the 2012 Masters Tournament. Let's construct a SPARQL query to retrieve the location of the 2012 Masters Tournament.

Here is the initial SPARQL query:

```sparql
SELECT DISTINCT ?location WHERE {
  fb:m.0hrf6ww fb:time.event.locations ?location .
}
```

Let's execute this query to see the results.

[Tool]
Got 1 row and 1 column:
| location                                    |
| ------------------------------------------- |
| Augusta National Golf Course (fb:m.04tk4bp) |

[Assistant]
The location of the 2012 Masters Tournament is Augusta National Golf Course (fb:m.04tk4bp).

To provide a more complete answer, let's also include the label of the location in the query. We can do this by adding an optional clause to fetch the label.

Here is the updated SPARQL query:

```sparql
SELECT DISTINCT ?location ?locationLabel WHERE {
  fb:m.0hrf6ww fb:time.event.locations ?location .
  OPTIONAL { ?location rdfs:label ?locationLabel . }
}
```

Let's execute this query to get the label as well.

[Tool]
Got 1 row and 2 columns:
| location                                    | locationLabel                     |
| ------------------------------------------- | --------------------------------- |
| Augusta National Golf Course (fb:m.04tk4bp) | Augusta National Golf Course (en) |

[Assistant]
The location of the 2012 Masters Tournament is Augusta National Golf Course.

Here is the final SPARQL query and answer:

```sparql
SELECT DISTINCT ?location ?locationLabel WHERE {
  fb:m.0hrf6ww fb:time.event.locations ?location .
  OPTIONAL { ?location rdfs:label ?locationLabel . }
}
```

Answer: The 2012 Masters Tournament was held at Augusta National Golf Course.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query successfully retrieves the location of the 2012 Masters Tournament from the Freebase knowledge graph, and the human-readable answer accurately reflects this information.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?place ?placeLabel WHERE {
  fb:m.0g7km1 fb:people.person.places_lived ?place .
  OPTIONAL {
    ?place rdfs:label ?placeLabel
  }
}

The places where Tim Tebow grew up are: fb:m.03pg7h1 (Label not available), fb:m.03pnj_p (Label not available), fb:m.0wh35mh (Label not available).

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

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

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

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

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

[User] where did tim tebow grow up?

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

[Tool]
Example 1:
Question:
who was judy garland married to?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0g10g ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0g10g 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
Judy Garland, also known as The Garland Sisters, Miss Show Business, Marie Gumm, Judy, Joots (fb:m.0g10g): Judy Garland was an American singer, actress, and vaudevillian. ...urn to acting, beginning with critically acclaimed performances., has type Musical Artist

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 2:
Question:
what dialects are spoken in the uk?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07ssc ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07ssc fb:location.country.languages_spoken ?x .
}

Using entities:
United Kingdom, also known as United Kingdom of Great Britain and Northern Ireland, United Kingdom of Great Britain and Ireland, United Kingdom of Great Britain, UK, U.K. (fb:m.07ssc): The United Kingdom of Great Britain and Northern Ireland, common...urth-largest in Europe and second-largest in the European Union., has type Country

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

Example 3:
Question:
what did edward jenner do for a living?

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

Using entities:
Edward Jenner (fb:m.02ljb): Edward Jenner, FRS was an English physician and scientist who wa...the first person to describe the brood parasitism of the cuckoo., has type Academic

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

[Assistant] Based on the examples, we need to identify the entity for Tim Tebow and the property for where he grew up. Let's start by searching for Tim Tebow.

[Tool]
Top 10 entity alternatives:
1. Tim Tebow, also known as Timmy Tebow, Timothy Richard Tebow (fb:m.0g7km1): Timothy Richard Tebow is an American football quarterback for th...nship game. The Gators again went 13–1 in 2009, his senior year., has type Organization leader
2. Tim Tebow (fb:m.0kb0gyz): Eric Cantor wants to justify tornado relief, and Tim Tebow talks about his missionary parents., has type TV Episode
3. Tim Tebow 20071223 (fb:m.04y1g7p)
4. E! Entertainment Special: Tim Tebow’s Wild Rise, also known as Tim Tebow's Wild Rise (fb:m.0_gh0x7): E! Entertainment Special: Tim Tebow’s Wild Rise is a 2013 Telly Award winning film., has type Award-Winning Work
5. Tim Tebow: Everything in Between (fb:m.0_z1bfk): has type Award-Winning Work
6. Molly Shannon, Tim Tebow, Matt Nathanson (fb:m.0j75m7b): has type TV Episode
7. Tim Burton, also known as Tim, ティモシー・ウィリアム・バートン, Timothy William Burton, Timothy Walter "Tim" Burton, Timothy Walter Burton (fb:m.07rd7): Timothy Walter "Tim" Burton is an American film director, produc...become a close friend of Burton since their first film together., has type Film director
8. Tim Curry, also known as Timothy James Curry, Timothy James "Tim" Curry, Tim, The Cheshire Cat (fb:m.07rzf): Timothy James "Tim" Curry is an English actor, singer, and compo...Broadway and West End productions of Spamalot from 2005 to 2007., has type Film actor
9. Tim Armstrong, also known as Rancid, Tim Timebomb Sings Songs from RocknNRoll Theater, Tim Timebomb, Timothy Lockwood Armstrong, Tim Armstrong (fb:m.01tv3x2): Timothy Lockwood Armstrong, is an American musician, songwriter,...and Pink and he has also worked with Gwen Stefani and Joe Walsh., has type Musical Artist
10. Tim Robbins, also known as Timothy Francis "Tim" Robbins, Timothy Francis Robbins, Tim (fb:m.01nr36): Timothy Francis "Tim" Robbins is an American actor, screenwriter...porting Actor, and for directing films such as Dead Man Walking., has type Film actor

[Assistant] The correct entity for Tim Tebow is `fb:m.0g7km1`. Now, let's find the property that indicates where he grew up. We can search for properties related to "grew up" or "hometown" for this entity.

[Tool]
Top 10 property alternatives:
1. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
2. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
3. Places lived (fb:people.person.places_lived): links to type Place lived, part of Person schema
4. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
5. Parents (fb:people.person.parents): part of Person schema, links to type Person
6. Height (fb:people.person.height_meters): links to type Floating Point Number, part of Person schema
7. Also known as (fb:common.topic.alias): part of Topic schema, links to type Text
8. Profession (fb:people.person.profession): links to type Profession, part of Person schema
9. Gender (fb:people.person.gender): part of Person schema, links to type Gender
10. Passing (fb:american_football.football_player.passing): links to type Player Passing Statistics, part of American football player schema

No other items found

[Assistant]
The property `fb:people.person.places_lived` seems to be the most relevant for finding out where Tim Tebow grew up. Let's construct a SPARQL query to retrieve this information.

We will start with a simple query to see if we can get the places where Tim Tebow lived.

```sparql
SELECT DISTINCT ?place WHERE {
  fb:m.0g7km1 fb:people.person.places_lived ?place .
}
```

Let's execute this query.

[Tool]
Got 3 rows and 1 column:
| place        |
| ------------ |
| fb:m.03pg7h1 |
| fb:m.03pnj_p |
| fb:m.0wh35mh |

[Assistant]
The query returned three places where Tim Tebow lived. To provide more context, let's fetch the labels for these places.

We will modify the query to include the labels of the places:

```sparql
SELECT DISTINCT ?place ?placeLabel WHERE {
  fb:m.0g7km1 fb:people.person.places_lived ?place .
  OPTIONAL { ?place rdfs:label ?placeLabel . FILTER(LANG(?placeLabel) = 'en') }
}
```

Let's execute this updated query.

[Tool]
Got 3 rows and 2 columns:
| place        | placeLabel |
| ------------ | ---------- |
| fb:m.03pg7h1 |            |
| fb:m.03pnj_p |            |
| fb:m.0wh35mh |            |

[Assistant]
It appears that the labels for the places where Tim Tebow lived are not directly available. Let's try to find the labels for these places separately to get more information.

We will run separate queries for each place to get their labels:

1. `fb:m.03pg7h1`
2. `fb:m.03pnj_p`
3. `fb:m.0wh35mh`

Let's start with the first place:

```sparql
SELECT ?placeLabel WHERE {
  fb:m.03pg7h1 rdfs:label ?placeLabel .
  FILTER(LANG(?placeLabel) = 'en')
}
```

Let's execute this query.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that the label for `fb:m.03pg7h1` is not available. Let's try the next place, `fb:m.03pnj_p`:

```sparql
SELECT ?placeLabel WHERE {
  fb:m.03pnj_p rdfs:label ?placeLabel .
  FILTER(LANG(?placeLabel) = 'en')
}
```

Let's execute this query.

[Tool] Got no rows and 1 columns

[Assistant]
The label for `fb:m.03pnj_p` is also not available. Let's try the last place, `fb:m.0wh35mh`:

```sparql
SELECT ?placeLabel WHERE {
  fb:m.0wh35mh rdfs:label ?placeLabel .
  FILTER(LANG(?placeLabel) = 'en')
}
```

Let's execute this query.

[Tool] Got no rows and 1 columns

[Assistant]
None of the places where Tim Tebow lived have labels available in the Freebase dataset. However, we can still provide the IRIs of the places as the answer.

Here is the final SPARQL query and the answer:

```sparql
SELECT DISTINCT ?place WHERE {
  fb:m.0g7km1 fb:people.person.places_lived ?place .
}
```

The places where Tim Tebow grew up are:
- `fb:m.03pg7h1`
- `fb:m.03pnj_p`
- `fb:m.0wh35mh`

Since the labels are not available, we will provide the IRIs as the answer.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query is on the right track, but it would be better to include the labels of the places in the result to make it more human-readable. This can be achieved by adding an OPTIONAL clause to fetch the rdfs:label of each place. Additionally, ensure that the query returns only distinct places.

[Assistant]
Thank you for the feedback. Let's refine the SPARQL query to include the labels of the places where Tim Tebow grew up. We will use an `OPTIONAL` clause to fetch the `rdfs:label` of each place and ensure that the query returns only distinct places.

Here is the refined SPARQL query:

```sparql
SELECT DISTINCT ?place ?placeLabel WHERE {
  fb:m.0g7km1 fb:people.person.places_lived ?place .
  OPTIONAL { ?place rdfs:label ?placeLabel . FILTER(LANG(?placeLabel) = 'en') }
}
```

Let's execute this refined query.

[Tool]
Got 3 rows and 2 columns:
| place        | placeLabel |
| ------------ | ---------- |
| fb:m.03pg7h1 |            |
| fb:m.03pnj_p |            |
| fb:m.0wh35mh |            |

[Assistant]
It appears that the labels for the places where Tim Tebow lived are still not available in the Freebase dataset. However, we can still provide the IRIs of the places along with a note that the labels are not available.

Here is the final SPARQL query and the answer:

```sparql
SELECT DISTINCT ?place ?placeLabel WHERE {
  fb:m.0g7km1 fb:people.person.places_lived ?place .
  OPTIONAL { ?place rdfs:label ?placeLabel . FILTER(LANG(?placeLabel) = 'en') }
}
```

The places where Tim Tebow grew up are:
- `fb:m.03pg7h1` (Label not available)
- `fb:m.03pnj_p` (Label not available)
- `fb:m.0wh35mh` (Label not available)

Since the labels are not available, we will provide the IRIs and a note about the labels.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query is on the right track, but the labels for the places where Tim Tebow grew up are missing. Please ensure that the labels are retrieved correctly and are displayed in the answer. If the labels are not available in English, consider using another language or checking if the labels exist at all.

[Assistant]
Thank you for the feedback. Let's further refine the SPARQL query to ensure that we retrieve the labels for the places where Tim Tebow grew up, even if they are not in English. We will also check if the labels exist at all.

Here is the refined SPARQL query:

```sparql
SELECT DISTINCT ?place ?placeLabel WHERE {
  fb:m.0g7km1 fb:people.person.places_lived ?place .
  OPTIONAL { ?place rdfs:label ?placeLabel }
}
```

This query will attempt to retrieve any available label for the places, regardless of the language. Let's execute this refined query.

[Tool]
Got 3 rows and 2 columns:
| place        | placeLabel |
| ------------ | ---------- |
| fb:m.03pg7h1 |            |
| fb:m.03pnj_p |            |
| fb:m.0wh35mh |            |

[Assistant]
It appears that the labels for the places where Tim Tebow lived are still not available in the Freebase dataset, even when not restricted to English. Since the labels are not available, we will provide the IRIs of the places and a note that the labels are not available.

Here is the final SPARQL query and the answer:

```sparql
SELECT DISTINCT ?place ?placeLabel WHERE {
  fb:m.0g7km1 fb:people.person.places_lived ?place .
  OPTIONAL { ?place rdfs:label ?placeLabel }
}
```

The places where Tim Tebow grew up are:
- `fb:m.03pg7h1` (Label not available)
- `fb:m.03pnj_p` (Label not available)
- `fb:m.0wh35mh` (Label not available)

Since the labels are not available, we will provide the IRIs and a note about the labels.

Let's finalize the answer.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?endpoint WHERE {
  fb:m.04ykz fb:geography.river.mouth ?endpoint .
}

The Missouri River ends at the Mississippi River.

[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 the missouri river ends?

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

[Tool]
Example 1:
Question:
which airport to fly in rome?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.06c62 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.06c62 fb:travel.travel_destination.how_to_get_here ?y .
  ?y fb:travel.transportation.transport_terminus ?x .
  ?x fb:common.topic.notable_types fb:m.01xpjyz .
}

Using entities:
Airport (fb:m.01xpjyz): An airport is a facility where aircraft such as airplanes and helicopters can take off and land.
Rome, also known as Comune of Rome, Рим, The eternal City, the City of seven hills, Rome, Italy (fb:m.06c62): Rome is a city and special comune in Italy. Rome is the capital ...pulation originated from a mix of Latins, Etruscans and Sabines., has type Italian comune

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Transport terminus (fb:travel.transportation.transport_terminus): links to type Transport terminus, part of Transportation schema
How to get here (fb:travel.travel_destination.how_to_get_here): part of Travel destination schema, links to type Transportation

Example 2:
Question:
where was governor cuomo born?

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

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

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

Example 3:
Question:
who is married to garth brooks?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.036px ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.036px fb:people.person.spouse_s ?y .
  ?y fb:people.marriage.spouse ?x .
  ?y fb:people.marriage.type_of_union fb:m.04ztj .
  FILTER ( NOT EXISTS {
    ?y fb:people.marriage.from ?sk0
  }
  || EXISTS {
    ?y fb:people.marriage.from ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) <= "2015-08-10" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:people.marriage.to ?sk2
  }
  || EXISTS {
    ?y fb:people.marriage.to ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) >= "2015-08-10" ^^ xsd:dateTime )
  }
  )
}

Using entities:
Garth Brooks, also known as Chris Gaines, Troyal Garth Brooks, Brooks, Garth (fb:m.036px): Troyal Garth Brooks, best known as Garth Brooks, is an American ... artists of all time, having sold more than 150 million records., 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:
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

[Assistant] Based on the examples, we need to identify the entity for the Missouri River and the property that indicates its endpoint. Let's first search for the entity representing the Missouri River.

[Tool]
Top 10 entity alternatives:
1. Missouri River (fb:m.04ykz): The Missouri River is the longest river in North America. Rising...coming part of the United States through the Louisiana Purchase., has type River
2. Missouri River (fb:m.0bp0gmw)
3. Missouri River (fb:m.011wf76): has type Musical Recording
4. Missouri River (fb:m.011wgx4): has type Musical Recording
5. Missouri River (fb:m.012vwcz0): has type TV Episode
6. Missouri River (fb:m.0lqqt68)
7. Missouri River (fb:m.0lsk00c)
8. Missouri River (fb:m.07r09y_)
9. Park Hills, also known as Park Hills, Missouri, St. Francois County / Park Hills city, Flat River, Missouri, Elvins, Missouri (fb:m.0w_gy): Park Hills is a city in St. Francois County, Missouri. The population was 8,759 at the 2010 census., has type City/Town/Village
10. Riverview, St. Louis County, Missouri, also known as St. Louis County / Riverview village, Riverview, Missouri, Riverview, St. Louis County, Missouri, Riverview (fb:m.04b2jy6): Riverview is a village in St. Louis County, Missouri, United States. The population was 2,856 at the 2010 census., has type City/Town/Village

[Assistant] The first result, `fb:m.04ykz`, seems to be the correct entity for the Missouri River. Now let's find the property that indicates the endpoint of a river. We can search for properties related to "river end" or "mouth" for the Missouri River entity.

[Tool]
Top 10 property alternatives:
1. Length (fb:geography.river.length): links to type Floating Point Number, part of River schema
2. entry (fb:user.tsegaran.random.taxonomy_subject.entry): part of Taxonomy Subject schema, links to type Taxonomy Entry
3. Type (fb:type.object.type): part of Object schema, links to type Type
4. Key (fb:type.object.key): part of Object schema, links to type Key
5. Origin (fb:geography.river.origin): links to type Location, part of River schema
6. Image (fb:common.topic.image): part of Topic schema, links to type Image
7. Description (fb:common.topic.description): part of Topic schema, links to type Text
8. Name (fb:type.object.name): part of Object schema, links to type Text
9. Article (fb:common.topic.article): links to type Document, part of Topic schema
10. Contained by (fb:location.location.containedby): part of Location schema, links to type Location

No other items found

[Assistant]
None of the properties listed seem to directly indicate the endpoint or mouth of the river. However, we can try searching for properties related to "mouth" instead.

Let's search for properties related to "mouth" for the Missouri River entity.

[Tool]
Top 10 property alternatives:
1. Mouth (fb:geography.river.mouth): links to type Location, part of River schema
2. Mouth (long./lat./elev.) (fb:geography.river.mouth_long_lat): links to type Geocode, part of River schema
3. Type (fb:type.object.type): part of Object schema, links to type Type
4. Image (fb:common.topic.image): part of Topic schema, links to type Image
5. entry (fb:user.tsegaran.random.taxonomy_subject.entry): part of Taxonomy Subject schema, links to type Taxonomy Entry
6. Pronunciation (fb:base.schemastaging.context_name.pronunciation): links to type Pronunciation, part of Context name schema
7. Contained by (fb:location.location.containedby): part of Location schema, links to type Location
8. Name (fb:type.object.name): part of Object schema, links to type Text
9. Partially contained by (fb:location.location.partially_containedby): part of Location schema, links to type Location
10. Partially contained by (fb:location.location.partially_contained_by): links to type Partial containment relationship, part of Location schema

No other items found

[Assistant]
The property `fb:geography.river.mouth` seems to be the correct one for finding the endpoint or mouth of the Missouri River. Let's construct a SPARQL query to retrieve this information.

We will select the location where the Missouri River ends using the `fb:geography.river.mouth` property.

```sparql
SELECT ?endpoint WHERE {
  fb:m.04ykz fb:geography.river.mouth ?endpoint .
}
```

Let's execute this query to get the result.

[Tool]
Got 1 row and 1 column:
| endpoint                       |
| ------------------------------ |
| Mississippi River (fb:m.04yf_) |

[Assistant]
The SPARQL query returned the endpoint of the Missouri River as the Mississippi River. Therefore, the Missouri River ends at the Mississippi River.

Here is the final SPARQL query and answer:

```sparql
SELECT ?endpoint WHERE {
  fb:m.04ykz fb:geography.river.mouth ?endpoint .
}
```

Answer: The Missouri River ends at the Mississippi River.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query correctly identifies the endpoint of the Missouri River, which is the Mississippi River.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?placeOfDeath WHERE {
  fb:m.01vsl3_ fb:people.deceased_person.place_of_death ?placeOfDeath .
}

John Lennon died in New York City.

[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 do john lennon die?

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

[Tool]
Example 1:
Question:
what continent is australia in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0chghy ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0chghy fb:location.location.containedby ?x .
  ?x fb:common.topic.notable_types fb:m.01mh .
}

Using entities:
Continent (fb:m.01mh): A continent is a large land mass, defined mostly by conventional...but closely related to tectonic plates within the earth's crust.
Australia, also known as Commonwealth of Australia, The Commonwealth of Australia (fb:m.0chghy): Australia, officially the Commonwealth of Australia, is an Ocean...e six colonies federated, forming the Commonwealth of Australia., has type Country

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Contained by (fb:location.location.containedby): part of Location schema, links to type Location

Example 2:
Question:
where does the zambezi river end?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0p_70 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0p_70 fb:geography.river.mouth ?x .
}

Using entities:
Zambezi, also known as Zambezi River (fb:m.0p_70): The Zambezi is the fourth-longest river in Africa, the longest e...Africa. There is also a smaller power station at Victoria Falls., has type River

Using properties:
Mouth (fb:geography.river.mouth): links to type Location, part of River schema

Example 3:
Question:
who is esther hicks?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.06_0rt ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.06_0rt fb:people.person.profession ?x .
}

Using entities:
Esther Hicks, also known as Esther Weaver (fb:m.06_0rt): Esther Hicks is an American inspirational speaker and author. Sh...ribes what she is doing as tapping into "infinite intelligence"., has type Author

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

[Assistant] Based on the examples, we need to identify the entity for John Lennon and the property for place of death. Let's start by searching for John Lennon in Freebase.

[Tool]
Top 10 entity alternatives:
1. John Lennon, also known as The Beatles, John, Plastic Ono Band, Lennon, John Winston Ono Lennon MBE (fb:m.01vsl3_): John Winston Ono Lennon MBE was an English singer and songwriter... wit in his music, writing, drawings, on film and in interviews., has type Musical Artist
2. John Lennon Silva Santos, also known as John Lennon (fb:m.0ngkm8x): John Lennon, fullname John Lennon Silva Santos is a Brazilian pr...ays in Brazilian Série B for Atlético Goianiense as a Left back., has type Football player
3. Jack Lennon, also known as John "Jack" Lennon, John Lennon (fb:m.0tlm12d): John Lennon was the father of Freddie Lennon., has type Deceased Person
4. John Lennon (fb:m.0bbmppm): John Lennon is a fictional character from the 2009 biographical film Nowhere Boy., The representation, in fictional works, of John Lennon., has type Film character
5. John Lennon (fb:m.05f3s0w): John Lennon, was a naval captain, born at Downpatrick, Northern ...he island without convoy, on account of the American privateers., has type Deceased Person
6. John Lennon (fb:m.0y2kdv): has type Musical Recording
7. John Lennon (fb:m.0_jkyrk): has type Composition
8. John Lennon (fb:m.0fwmmt3): has type Canonical Version
9. John Lennon (fb:m.0dt_9zt): has type Musical Recording
10. John Lennon (fb:m.023kqy2): has type Musical Recording

[Assistant] The first result, fb:m.01vsl3_, seems to be the correct John Lennon. Next, let's search for the property related to the place of death.

[Tool]
Top 10 property alternatives:
1. Place of death (fb:biology.deceased_organism.place_of_death): part of Deceased Organism schema, links to type Location
2. Place of death (fb:base.fictionaluniverse.deceased_fictional_character.place_of_death): part of Deceased Fictional Character schema, links to type Fictional Setting
3. Place of death (fb:people.deceased_person.place_of_death): part of Deceased Person schema, links to type Location
4. Place of burial (fb:base.fictionaluniverse.deceased_fictional_character.place_of_burial): part of Deceased Fictional Character schema, links to type Fictional Setting
5. Place of burial (fb:people.deceased_person.place_of_burial): links to type Place of interment, part of Deceased Person schema
6. Place of cremation (fb:base.fictionaluniverse.deceased_fictional_character.place_of_cremation): part of Deceased Fictional Character schema, links to type Fictional Setting
7. Place of cremation (fb:people.deceased_person.place_of_cremation): part of Deceased Person schema, links to type Location
8. Date of death (fb:base.thoroughbredracing.thoroughbred_racehorse.date_of_death): part of Thoroughbred racehorse schema, links to type Date/Time
9. Date of death (fb:base.fictionaluniverse.deceased_fictional_character.date_of_death): part of Deceased Fictional Character schema, links to type Fictional Date/Time
10. Date of Death (fb:base.iceandfire.person.date_of_death): links to type Date/Time, part of Person schema

[Assistant]
The third result, fb:people.deceased_person.place_of_death, seems to be the correct property for the place of death. Now, let's construct a SPARQL query to find where John Lennon died.

```sparql
SELECT DISTINCT ?placeOfDeath WHERE {
  fb:m.01vsl3_ fb:people.deceased_person.place_of_death ?placeOfDeath .
}
```

Let's execute this query.

[Tool]
Got 1 row and 1 column:
| placeOfDeath                |
| --------------------------- |
| New York City (fb:m.02_286) |

[Assistant]
The SPARQL query successfully returned the place of death for John Lennon. According to the result, John Lennon died in New York City.

Here is the final SPARQL query and answer:

```sparql
SELECT DISTINCT ?placeOfDeath WHERE {
  fb:m.01vsl3_ fb:people.deceased_person.place_of_death ?placeOfDeath .
}
```

Answer: John Lennon died in New York City.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query correctly identifies the place of death for John Lennon, which is New York City. The query uses 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 ?place ?placeLabel WHERE {
  fb:m.060_7 fb:people.person.places_lived ?place .
  OPTIONAL {
    ?place fb:people.place_lived.location ?location .
  }
  OPTIONAL {
    ?location rdfs:label ?placeLabel .
    FILTER ( LANG( ?placeLabel ) = 'en' )
  }
}

Got 3 rows and 2 columns:
| place        | placeLabel  |
| ------------ | ----------- |
| fb:m.04yt_9c | Málaga (en) |
| fb:m.0wfdzk8 | Madrid (en) |
| fb:m.0jw3bpj | France (en) |

Pablo Picasso lived in Málaga, Madrid, and France.

[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 all did picasso live?

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

[Tool]
Example 1:
Question:
what was van gogh famous for?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07_m2 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07_m2 fb:people.person.profession ?x .
}

Using entities:
Vincent van Gogh, also known as Vincent Willem van Gogh (fb:m.07_m2): Vincent Willem van Gogh was a Post-Impressionist painter. He was... of the vivid coloration that distinguished his later paintings., has type Visual Artist

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

Example 2:
Question:
who played betty rizzo in grease?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01xlqd ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01xlqd fb:film.film.starring ?y .
  ?y fb:film.performance.actor ?x .
  ?y fb:film.performance.character fb:m.0fqbs6 .
}

Using entities:
Grease, also known as Vaselina, Pomádé, Grease Sing-A-Long, Grease - Nos tempos da Brilhantina, Grease - Brillantina (fb:m.01xlqd): Grease is a 1978 American musical romantic comedy-drama film dir...2. Only a few of the original cast members reprised their roles., has type Award-Winning Work
Betty Rizzo (fb:m.0fqbs6): has type Film character

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

Example 3:
Question:
where was john lennon standing when he was shot?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01vsl3_ ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01vsl3_ fb:people.deceased_person.place_of_death ?x .
}

Using entities:
John Lennon, also known as The Beatles, John, Plastic Ono Band, Lennon, John Winston Ono Lennon MBE (fb:m.01vsl3_): John Winston Ono Lennon MBE was an English singer and songwriter... wit in his music, writing, drawings, on film and in interviews., has type Musical Artist

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

[Assistant] Based on the examples, we can see that to answer the question "Where all did Picasso live?", we need to find the entity for Picasso and then look for a property that indicates where he lived. Let's start by searching for the entity "Picasso".

[Tool]
Top 10 entity alternatives:
1. Pablo Picasso, also known as Picasso, Picaso, Pablo Ruiz y Picasso, Pablo Diego José Francisco de Pa...antísima Trinidad Ruiz y Picasso (fb:m.060_7): Pablo Ruiz y Picasso, also known as Pablo Picasso, was a Spanish... in a naturalistic manner through his childhood and adolescence., has type Visual Artist
2. Philipp Petzschner, also known as Picasso, Petsche (fb:m.02z3b_2): Philipp Petzschner is a professional German tennis player. He is...doubles ranking is world no. 9, which he achieved in April 2011., has type Tennis Player
3. Radu Sîrbu, also known as Picasso, RadU (fb:m.0c0q2b): Radu Sîrbu is a Moldovan singer. He was part of the Moldovan pop...trio O-Zone. He currently lives and works in Bucharest, Romania., has type Musical Artist
4. The Mystery of Picasso, also known as Mysteriet Picasso, The Mystery Of Picasso, Picasso rejtélye, Picasso - arvoitus, Picasso (fb:m.02z5c5x): The Mystery of Picasso is a 1956 French documentary film about t...mentary film Visit to Picasso did it almost seven years earlier., has type Award-Winning Work
5. Picasso, also known as ピカソ (fb:m.01v0mvv): Picasso is a Japanese rock band which made its debut in 1984 wit...ronom Records in 2000 in order to produce and handle new talent., has type Musical Group
6. Picasso (fb:m.03b9ht_): has type Musical Release
7. Pablo Picasso, also known as Paulo Picasso, Picasso (fb:m.02nwkwh): Picasso is a fictional character in the 1978 film The Adventures of Picasso., Pablo Picasso is a fictional character in the 2011 film Midnight in Paris, Pablo Picasso is a fictional character in the 2012 film The Picasso Gang., The representation in fiction of the Spanish artist Pablo Picasso., has type Film character
8. Picasso, also known as Picasso at Bellagio (fb:m.0p3k0f7): Picasso is a two Michelin star restaurant run by chef Julian Ser...idered to be one of the finest restaurants in the United States., Picasso at Bellagio is a 2011 JBF Awards nominated restaurant in Las Vegas., has type Award-Winning Work
9. Picasso (fb:m.010_1tky): has type Consumer product
10. Picasso (fb:m.0fjfgf1): has type Musical Release

[Assistant] The correct entity for Picasso is the first one, "Pablo Picasso" (fb:m.060_7). Now, let's find the property that indicates where he lived. We can search for properties related to "lived" or "residence" for the entity "Pablo Picasso".

[Tool]
Top 10 property alternatives:
1. Places lived (fb:people.person.places_lived): links to type Place lived, part of Person schema
2. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
3. Influenced (fb:influence.influence_node.influenced): part of Influence Node schema, links to type Influence Node
4. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
5. Place of death (fb:people.deceased_person.place_of_death): part of Deceased Person schema, links to type Location
6. Date of death (fb:people.deceased_person.date_of_death): part of Deceased Person schema, links to type Date/Time
7. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
8. Has sentences (fb:base.kwebbase.kwtopic.has_sentences): links to type KWSentence, part of KWTopic schema
9. Influenced By (fb:influence.influence_node.influenced_by): part of Influence Node schema, links to type Influence Node
10. Key (fb:type.object.key): part of Object schema, links to type Key

No other items found

[Assistant]
The property "Places lived" (fb:people.person.places_lived) seems to be the most relevant for our query. Let's construct a SPARQL query to find all the places where Pablo Picasso lived.

Here is the initial SPARQL query:

```sparql
SELECT ?place WHERE {
  fb:m.060_7 fb:people.person.places_lived ?place .
}
```

Let's execute this query to see the results.

[Tool]
Got 3 rows and 1 column:
| place        |
| ------------ |
| fb:m.04yt_9c |
| fb:m.0jw3bpj |
| fb:m.0wfdzk8 |

[Assistant]
The query returned three places where Pablo Picasso lived. To provide more context, let's fetch the labels for these places. We can do this by adding an optional clause to get the labels.

Here is the updated SPARQL query:

```sparql
SELECT ?place ?placeLabel WHERE {
  fb:m.060_7 fb:people.person.places_lived ?place .
  OPTIONAL { ?place rdfs:label ?placeLabel . }
}
```

Let's execute this query to get the labels for the places.

[Tool]
Got 3 rows and 2 columns:
| place        | placeLabel |
| ------------ | ---------- |
| fb:m.04yt_9c |            |
| fb:m.0jw3bpj |            |
| fb:m.0wfdzk8 |            |

[Assistant]
It appears that the labels for the places where Pablo Picasso lived are not directly available. Let's try to find the labels for these places by searching for them individually.

First, let's search for the label of `fb:m.04yt_9c`.

[Tool]
Got 4 rows and 3 columns:
| subject      | property                                  | object                              |
| ------------ | ----------------------------------------- | ----------------------------------- |
| fb:m.04yt_9c | Type (fb:type.object.type)                | Place lived (fb:people.place_lived) |
| fb:m.04yt_9c | Location (fb:people.place_lived.location) | Málaga (fb:m.01978d)                |
| fb:m.04yt_9c | Person (fb:people.place_lived.person)     | Pablo Picasso (fb:m.060_7)          |
| fb:m.04yt_9c | rdf:type                                  | Place lived (fb:people.place_lived) |

[Assistant]
The place `fb:m.04yt_9c` corresponds to Málaga. Let's now find the labels for the other two places, `fb:m.0jw3bpj` and `fb:m.0wfdzk8`.

First, let's search for the label of `fb:m.0jw3bpj`.

[Tool]
Got 4 rows and 3 columns:
| subject      | property                                  | object                              |
| ------------ | ----------------------------------------- | ----------------------------------- |
| fb:m.0jw3bpj | Type (fb:type.object.type)                | Place lived (fb:people.place_lived) |
| fb:m.0jw3bpj | Location (fb:people.place_lived.location) | France (fb:m.0f8l9c)                |
| fb:m.0jw3bpj | Person (fb:people.place_lived.person)     | Pablo Picasso (fb:m.060_7)          |
| fb:m.0jw3bpj | rdf:type                                  | Place lived (fb:people.place_lived) |

[Assistant] The place `fb:m.0jw3bpj` corresponds to France. Now, let's find the label for the last place, `fb:m.0wfdzk8`.

[Tool]
Got 4 rows and 3 columns:
| subject      | property                                  | object                              |
| ------------ | ----------------------------------------- | ----------------------------------- |
| fb:m.0wfdzk8 | Type (fb:type.object.type)                | Place lived (fb:people.place_lived) |
| fb:m.0wfdzk8 | Location (fb:people.place_lived.location) | Madrid (fb:m.056_y)                 |
| fb:m.0wfdzk8 | Person (fb:people.place_lived.person)     | Pablo Picasso (fb:m.060_7)          |
| fb:m.0wfdzk8 | rdf:type                                  | Place lived (fb:people.place_lived) |

[Assistant]
The place `fb:m.0wfdzk8` corresponds to Madrid.

Now we have the labels for all the places where Pablo Picasso lived:
- Málaga
- France
- Madrid

Let's update our final SPARQL query to include these labels and provide a clear answer to the user.

Here is the final SPARQL query:

```sparql
SELECT ?place ?placeLabel WHERE {
  fb:m.060_7 fb:people.person.places_lived ?place .
  OPTIONAL { ?place fb:people.place_lived.location ?location . }
  OPTIONAL { ?location rdfs:label ?placeLabel . }
}
```

Let's execute this query to get the final results.

[Tool]
Got 128 rows and 2 columns, showing the first 5 and last 5 rows below:
| place        | placeLabel          |
| ------------ | ------------------- |
| fb:m.04yt_9c | Malaga (fr)         |
| fb:m.04yt_9c | Malaga (lt)         |
| fb:m.04yt_9c | Malaga (lv)         |
| fb:m.04yt_9c | Malaga (pl)         |
| fb:m.04yt_9c | Málaga (cs)         |
| ...          | ...                 |
| fb:m.0jw3bpj | ประเทศฝรั่งเศส (th) |
| fb:m.0jw3bpj | 프랑스 (ko)            |
| fb:m.0jw3bpj | フランス (ja)           |
| fb:m.0jw3bpj | 法国 (zh)             |
| fb:m.0jw3bpj | 法國 (zh-Hant)        |

[Assistant]
The query returned multiple labels for each place, including translations in different languages. To simplify the results, we can filter the labels to only include the English labels.

Here is the updated SPARQL query to filter for English labels:

```sparql
SELECT ?place ?placeLabel WHERE {
  fb:m.060_7 fb:people.person.places_lived ?place .
  OPTIONAL { ?place fb:people.place_lived.location ?location . }
  OPTIONAL { ?location rdfs:label ?placeLabel . FILTER(LANG(?placeLabel) = 'en') }
}
```

Let's execute this query to get the final results with English labels.

[Tool]
Got 3 rows and 2 columns:
| place        | placeLabel  |
| ------------ | ----------- |
| fb:m.04yt_9c | Málaga (en) |
| fb:m.0wfdzk8 | Madrid (en) |
| fb:m.0jw3bpj | France (en) |

[Assistant]
The final results show that Pablo Picasso lived in the following places:

- Málaga
- Madrid
- France

Here is the final SPARQL query and the answer to the user's question:

```sparql
SELECT ?place ?placeLabel WHERE {
  fb:m.060_7 fb:people.person.places_lived ?place .
  OPTIONAL { ?place fb:people.place_lived.location ?location . }
  OPTIONAL { ?location rdfs:label ?placeLabel . FILTER(LANG(?placeLabel) = 'en') }
}
```

Answer: Pablo Picasso lived in Málaga, Madrid, and France.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query is correct and returns the expected results. The places where Pablo Picasso lived are correctly identified and labeled. No further refinements are necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?language ?label WHERE {
  fb:m.06q1r fb:location.country.languages_spoken ?language .
  OPTIONAL {
    ?language rdfs:label ?label .
    FILTER ( LANG( ?label ) = 'en' )
  }
}

Got 5 rows and 2 columns:
| language                       | label                 |
| ------------------------------ | --------------------- |
| British English (fb:m.01bvf)   | British English (en)  |
| Scottish English (fb:m.01v58_) | Scottish English (en) |
| Old English (fb:m.05p2d)       | Old English (en)      |
| Scottish Gaelic (fb:m.070zw)   | Scottish Gaelic (en)  |
| Scots Language (fb:m.0h407)    | Scots Language (en)   |

The languages spoken in Scotland are British English, Scottish English, Old English, Scottish Gaelic, and Scots Language.

[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 language they speak in scotland?

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

[Tool]
Example 1:
Question:
what wars have france been involved in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0f8l9c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0f8l9c fb:military.military_combatant.casualties ?y .
  ?y fb:military.casualties.military_conflict ?x .
}

Using entities:
France, also known as French Republic, République française, l'Hexagone (fb:m.0f8l9c): France, officially the French Republic, is a sovereign state com...g and paving the way for a future centralized absolute monarchy., has type Country

Using properties:
Military Conflict (fb:military.casualties.military_conflict): links to type Military Conflict, part of Casualties schema
Casualties (fb:military.military_combatant.casualties): part of Military Combatant schema, links to type Casualties

Example 2:
Question:
what time zone in the uk?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07ssc ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07ssc fb:location.location.time_zones ?x .
}

Using entities:
United Kingdom, also known as United Kingdom of Great Britain and Northern Ireland, United Kingdom of Great Britain and Ireland, United Kingdom of Great Britain, UK, U.K. (fb:m.07ssc): The United Kingdom of Great Britain and Northern Ireland, common...urth-largest in Europe and second-largest in the European Union., has type Country

Using properties:
Time zone(s) (fb:location.location.time_zones): links to type Time Zone, part of Location schema

Example 3:
Question:
what language does egyptians use?

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] Based on the examples, we need to find the entity for Scotland and the property for languages spoken. Let's start by searching for the entity "Scotland".

[Tool]
Top 10 entity alternatives:
1. Scotland, also known as Scotia (fb:m.06q1r): Scotland is a country that is part of the United Kingdom and cov...tate in the Early Middle Ages and continued to exist until 1707., has type Country
2. Scotland, also known as Scotland, South Dakota, Bon Homme County / Scotland city (fb:m.0_p4w): Scotland is a city in Bon Homme County, South Dakota, United States. As of the 2010 census, the city population was 841., has type City/Town/Village
3. Scotland, also known as Scotland, Texas (fb:m.013lsc): Scotland is a city in Archer County in the U.S. state of Texas. ...structed in 1911, it was a residence for Roman Catholic priests., has type City/Town/Village
4. Scotland, also known as Scotland, Georgia (fb:m.0rzb7): Scotland is a city in Telfair and Wheeler counties in the U.S. s... of Georgia. As of the 2000 census, the city population was 300., has type City/Town/Village
5. Scotland, also known as Scotland, Connecticut, Scott-Mason-Taylor House (fb:m.0rg8z): Scotland is a town in Windham County, Connecticut, in the United...minantly rural town, with agriculture as the principal industry., has type City/Town/Village
6. Scotland, also known as Scotland, Virginia (fb:m.08wc1f): Scotland is a census-designated place in Surry County, Virginia,...ion Site are listed on the National Register of Historic Places., has type City/Town/Village
7. Scotland, also known as Scotland, Indiana (fb:m.03hjf_t): Scotland is an unincorporated census-designated place in Taylor Township, Greene County, Indiana., has type City/Town/Village
8. Scotland, also known as Scotland, Arkansas (fb:m.07ncmv): Scotland is an unincorporated community in southwestern Van Bure... tornado struck this community which resulted in extreme damage., has type City/Town/Village
9. Government of Scotland, also known as Scotland (fb:m.094rtl): has type Government
10. Scotland (fb:m.0zf597): has type Musical Recording

[Assistant] The first result, "Scotland" (fb:m.06q1r), seems to be the correct entity representing the country Scotland. Now let's search for the property "languages spoken".

[Tool]
Top 10 property alternatives:
1. Languages spoken (fb:location.country.languages_spoken): links to type Human Language, part of Country schema
2. Languages spoken (fb:people.ethnicity.languages_spoken): links to type Human Language, part of Ethnicity schema
3. Languages (fb:user.peter.default_domain.programmer.languages): links to type Programming Language, part of Programmer schema
4. languages (fb:user.unfoldingart.unfoldingart.ua_member.languages): links to type Human Language, part of member schema
5. Languages (fb:user.thalendar.default_domain.roleplaying_game.language): part of Roleplaying Game schema, links to type Human Language
6. Languages (fb:base.services.local_business.service_in_language): part of Local business schema, links to type Human Language
7. Languages (fb:fictional_universe.fictional_universe.languages): links to type Language in fiction, part of Fictional Universe schema
8. Languages (fb:base.militaryinfiction.location_in_fiction.languages): part of Location in Fiction schema, links to type Language in fiction
9. Languages (fb:fictional_universe.fictional_setting.languages): links to type Language in fiction, part of Fictional Setting schema
10. Languages (fb:computer.programming_language_paradigm.languages): part of Programming Language Paradigm schema, links to type Programming Language

[Assistant]
The property "Languages spoken" (fb:location.country.languages_spoken) seems to be the most relevant for our purpose. Let's construct a SPARQL query to find out what languages are spoken in Scotland.

Here is the SPARQL query:

```sparql
SELECT DISTINCT ?language WHERE {
  fb:m.06q1r fb:location.country.languages_spoken ?language .
}
```

Now, let's execute this query.

[Tool]
Got 5 rows and 1 column:
| language                       |
| ------------------------------ |
| British English (fb:m.01bvf)   |
| Scottish English (fb:m.01v58_) |
| Old English (fb:m.05p2d)       |
| Scottish Gaelic (fb:m.070zw)   |
| Scots Language (fb:m.0h407)    |

[Assistant]
The SPARQL query has returned the following languages spoken in Scotland:

- British English (fb:m.01bvf)
- Scottish English (fb:m.01v58_)
- Old English (fb:m.05p2d)
- Scottish Gaelic (fb:m.070zw)
- Scots Language (fb:m.0h407)

To provide a more readable answer, let's include the labels of these languages in the query.

Here is the updated SPARQL query:

```sparql
SELECT DISTINCT ?language ?label WHERE {
  fb:m.06q1r fb:location.country.languages_spoken ?language .
  OPTIONAL { ?language rdfs:label ?label . }
}
```

Now, let's execute this query.

[Tool]
Got 159 rows and 2 columns, showing the first 5 and last 5 rows below:
| language                     | label                        |
| ---------------------------- | ---------------------------- |
| British English (fb:m.01bvf) | Anglais britannique (fr)     |
| British English (fb:m.01bvf) | Anglès britànic (ca)         |
| British English (fb:m.01bvf) | Bahasa Inggeris British (ms) |
| British English (fb:m.01bvf) | Bahasa Inggris Britania (id) |
| British English (fb:m.01bvf) | Brit angol (hu)              |
| ...                          | ...                          |
| Scots Language (fb:m.0h407)  | لغة أسكتلندية (ar)           |
| Scots Language (fb:m.0h407)  | 스코트어 (ko)                    |
| Scots Language (fb:m.0h407)  | スコットランド語 (ja)                |
| Scots Language (fb:m.0h407)  | 低地苏格兰语 (zh)                  |
| Scots Language (fb:m.0h407)  | 低地蘇格蘭語 (zh-Hant)             |

[Assistant]
The query returned multiple labels for each language in different languages. To simplify the answer, let's filter the labels to only include English labels.

Here is the updated SPARQL query:

```sparql
SELECT DISTINCT ?language ?label WHERE {
  fb:m.06q1r fb:location.country.languages_spoken ?language .
  OPTIONAL { ?language rdfs:label ?label . FILTER(LANG(?label) = 'en') }
}
```

Now, let's execute this query.

[Tool]
Got 5 rows and 2 columns:
| language                       | label                 |
| ------------------------------ | --------------------- |
| British English (fb:m.01bvf)   | British English (en)  |
| Scottish English (fb:m.01v58_) | Scottish English (en) |
| Old English (fb:m.05p2d)       | Old English (en)      |
| Scottish Gaelic (fb:m.070zw)   | Scottish Gaelic (en)  |
| Scots Language (fb:m.0h407)    | Scots Language (en)   |

[Assistant]
The SPARQL query has returned the following languages spoken in Scotland with their English labels:

- British English (fb:m.01bvf)
- Scottish English (fb:m.01v58_)
- Old English (fb:m.05p2d)
- Scottish Gaelic (fb:m.070zw)
- Scots Language (fb:m.0h407)

These are the languages spoken in Scotland.

Here is the final SPARQL query and answer:

```sparql
SELECT DISTINCT ?language ?label WHERE {
  fb:m.06q1r fb:location.country.languages_spoken ?language .
  OPTIONAL { ?language rdfs:label ?label . FILTER(LANG(?label) = 'en') }
}
```

Answer: The languages spoken in Scotland are British English, Scottish English, Old English, Scottish Gaelic, and Scots Language.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query is well-formed and returns the correct and complete list of languages spoken in Scotland. The query follows all the rules and guidelines provided. The answer is accurate and comprehensive.