PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?team ?teamLabel WHERE {
  fb:m.05cb70 fb:sports.pro_athlete.teams ?roster .
  ?roster fb:sports.sports_team_roster.team ?team .
  OPTIONAL {
    ?team rdfs:label ?teamLabel .
    FILTER ( lang( ?teamLabel ) = "en" )
  }
  ?roster fb:sports.sports_team_roster.from ?fromDate .
  FILTER ( datatype( ?fromDate ) = xsd:gYear || datatype( ?fromDate ) = xsd:date || datatype( ?fromDate ) = xsd:dateTime ) .
  FILTER ( ?fromDate <= "2011-12-31" ^^ xsd:date || ?fromDate <= "2011" ^^ xsd:gYear ) .
  OPTIONAL {
    ?roster fb:sports.sports_team_roster.to ?toDate .
    FILTER ( datatype( ?toDate ) = xsd:gYear || datatype( ?toDate ) = xsd:date || datatype( ?toDate ) = xsd:dateTime ) .
  }
  FILTER ( ! BOUND( ?toDate ) || ?toDate >= "2011-01-01" ^^ xsd:date || ?toDate >= "2011" ^^ xsd:gYear ) .
}

Got 2 rows and 2 columns:
| team                            | teamLabel               |
| ------------------------------- | ----------------------- |
| Miami Dolphins (fb:m.04vn5)     | Miami Dolphins (en)     |
| New Orleans Saints (fb:m.05g3v) | New Orleans Saints (en) |

In 2011, Reggie Bush was on two teams: the New Orleans Saints and the Miami Dolphins.

[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 team is reggie bush on 2011?

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

[Tool]
Example 1:
Question:
what team does reggie bush play for 2011?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.05cb70 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.05cb70 fb:sports.pro_athlete.teams ?y .
  ?y fb:sports.sports_team_roster.team ?x .
  FILTER ( NOT EXISTS {
    ?y fb:sports.sports_team_roster.from ?sk0
  }
  || EXISTS {
    ?y fb:sports.sports_team_roster.from ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) <= "2011-12-31" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:sports.sports_team_roster.to ?sk2
  }
  || EXISTS {
    ?y fb:sports.sports_team_roster.to ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) >= "2011-01-01" ^^ xsd:dateTime )
  }
  )
}

Using entities:
Reggie Bush, also known as Reginald Alfred Bush, Jr., The President, Reggie (fb:m.05cb70): Reginald Alfred "Reggie" Bush, Jr. is an American football runni...son. As a result, Bush voluntarily forfeited his Heisman Trophy., has type American football player

Using properties:
Teams (fb:sports.pro_athlete.teams): links to type Sports team roster, part of Athlete schema
From (fb:sports.sports_team_roster.from): part of Sports team roster schema, links to type Date/Time
Team (fb:sports.sports_team_roster.team): part of Sports team roster schema, links to type Sports Team
To (fb:sports.sports_team_roster.to): part of Sports team roster schema, links to type Date/Time

Example 2:
Question:
what year did reggie bush get drafted?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.05cb70 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.05cb70 fb:sports.drafted_athlete.drafted ?y .
  ?y fb:sports.sports_league_draft_pick.draft ?x .
}

Using entities:
Reggie Bush, also known as Reginald Alfred Bush, Jr., The President, Reggie (fb:m.05cb70): Reginald Alfred "Reggie" Bush, Jr. is an American football runni...son. As a result, Bush voluntarily forfeited his Heisman Trophy., has type American football player

Using properties:
Drafted (fb:sports.drafted_athlete.drafted): links to type Sports League Draft Pick, part of Drafted athlete schema
Draft (fb:sports.sports_league_draft_pick.draft): part of Sports League Draft Pick schema, links to type Sports League Draft

Example 3:
Question:
where is reggie bush from?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.05cb70 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.05cb70 fb:people.person.place_of_birth ?x .
}

Using entities:
Reggie Bush, also known as Reginald Alfred Bush, Jr., The President, Reggie (fb:m.05cb70): Reginald Alfred "Reggie" Bush, Jr. is an American football runni...son. As a result, Bush voluntarily forfeited his Heisman Trophy., has type American football player

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

[Assistant]
From the similar examples, we see that Reggie Bush is identified as fb:m.05cb70 in Freebase. The property fb:sports.pro_athlete.teams links to sports team rosters, which have properties fb:sports.sports_team_roster.team for the team, and fb:sports.sports_team_roster.from and fb:sports.sports_team_roster.to for the time period the athlete was on the team.

We can use this information to write a query to find the team Reggie Bush was on in 2011 by filtering the roster entries to those that include the year 2011.

I will now write and execute this query.

[Tool]
Failed to call function execute:
failed to parse input: parse error at position 268 for token PNAME_LN with content 'fb:sports.sports_team_roster.from' (the input most likely does not follow the grammar)

[Assistant] The error indicates that the property name with dots is not parsed correctly. I will try to use the full URI format for the properties instead of the prefixed names to avoid parsing errors. I will rewrite the query accordingly.

[Tool]
Failed to call function execute:
failed to parse input: parse error at position 320 for token IRIREF with content '<http://rdf.freebase.com/ns/sports.sports_team_roster.from>' (the input most likely does not follow the grammar)

[Assistant] It seems the issue is with the use of the property "from" which is a reserved word in SPARQL and might be causing parsing issues. I will try to use backticks or quotes around the property name or try a different approach by listing the properties of the roster entity to find the exact property name for the start date. I will first list the properties of the roster entity.

[Tool]
Got 365 rows and 3 columns, showing the first 10 rows below:
| subject                   | property                                                            | object                                                                   |
| ------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Reggie Bush (fb:m.05cb70) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Reggie Bush (fb:m.05cb70) | Key (fb:type.object.key)                                            | /authority/daylife/topic/0dW530Z5vlbkE                                   |
| Reggie Bush (fb:m.05cb70) | Name (fb:type.object.name)                                          | Reggie Bush (da)                                                         |
| Reggie Bush (fb:m.05cb70) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://da.wikipedia.org/wiki/index.html?curid=151552>                   |
| Reggie Bush (fb:m.05cb70) | Notable for (fb:common.topic.notable_for)                           | fb:g.1256t7f2j                                                           |
| Reggie Bush (fb:m.05cb70) | Notable types (fb:common.topic.notable_types)                       | American football player (fb:m.01xljrf)                                  |
| Reggie Bush (fb:m.05cb70) | Description (fb:common.topic.description)                           | Reggie Bush, né le 2 mars 1985 à...oluant au poste de running back. (fr) |
| Reggie Bush (fb:m.05cb70) | Article (fb:common.topic.article)                                   | fb:m.05cb77                                                              |
| Reggie Bush (fb:m.05cb70) | Also known as (fb:common.topic.alias)                               | Reggie (en)                                                              |
| Reggie Bush (fb:m.05cb70) | Gender (fb:people.person.gender)                                    | Male (fb:m.05zppz)                                                       |
| ...                       | ...                                                                 | ...                                                                      |

[Assistant] I listed some properties of Reggie Bush but I need to find the property for the teams or rosters. I will now list the properties of Reggie Bush related to sports teams or rosters. I will search for properties with the keyword "team" or "roster".

[Tool]
Top 10 property alternatives:
1. Teams (fb:sports.pro_athlete.teams): links to type Sports team roster, part of Athlete schema
2. Name (fb:type.object.name): part of Object schema, links to type Text
3. Position(s) (fb:american_football.football_player.position_s): part of American football player schema, links to type Sports position
4. Key (fb:type.object.key): part of Object schema, links to type Key
5. Position (fb:user.szaijan.fantasy_football.player.position): links to type Position, part of Player schema
6. Games (fb:american_football.football_player.games): part of American football player schema, links to type Player Game Statistics
7. Username (fb:user.ngerakines.social_software.twitter_user.twitter_username): part of Twitter User schema, links to type Text
8. Official website (fb:common.topic.official_website): part of Topic schema, links to type URI
9. Article (fb:common.topic.article): links to type Document, part of Topic schema
10. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country

No other items found

[Assistant] The property fb:sports.pro_athlete.teams links to sports team rosters for Reggie Bush. I will now list properties of the sports team roster entity to find the exact property names for the start and end dates. I will do this by listing properties of one of the roster objects linked to Reggie Bush. I will first get one roster object.

[Tool]
Got 1 row and 1 column:
| roster       |
| ------------ |
| fb:m.0hpby4d |

[Assistant] I found one sports team roster entity for Reggie Bush: fb:m.0hpby4d. I will now list the properties of this roster entity to find the properties for the start and end dates.

[Tool]
Got 8 rows and 3 columns:
| subject      | property                                         | object                                            |
| ------------ | ------------------------------------------------ | ------------------------------------------------- |
| fb:m.0hpby4d | Type (fb:type.object.type)                       | Sports team roster (fb:sports.sports_team_roster) |
| fb:m.0hpby4d | Player (fb:sports.sports_team_roster.player)     | Reggie Bush (fb:m.05cb70)                         |
| fb:m.0hpby4d | Position (fb:sports.sports_team_roster.position) | Running back (fb:m.01r3hr)                        |
| fb:m.0hpby4d | Team (fb:sports.sports_team_roster.team)         | New Orleans Saints (fb:m.05g3v)                   |
| fb:m.0hpby4d | From (fb:sports.sports_team_roster.from)         | 2006 (xsd:gYear)                                  |
| fb:m.0hpby4d | To (fb:sports.sports_team_roster.to)             | 2011-07-28 (xsd:date)                             |
| fb:m.0hpby4d | Number (fb:sports.sports_team_roster.number)     | 25                                                |
| fb:m.0hpby4d | rdf:type                                         | Sports team roster (fb:sports.sports_team_roster) |

[Assistant]
The sports team roster entity fb:m.0hpby4d for Reggie Bush has the following relevant properties:
- Team (fb:sports.sports_team_roster.team) with value New Orleans Saints (fb:m.05g3v)
- From (fb:sports.sports_team_roster.from) with value 2006 (xsd:gYear)
- To (fb:sports.sports_team_roster.to) with value 2011-07-28 (xsd:date)

I will now write a query to find the team Reggie Bush was on in 2011 by filtering the roster entries to those that include the year 2011 using these properties.

[Tool]
Got 2 rows and 2 columns:
| team                            | teamLabel               |
| ------------------------------- | ----------------------- |
| Miami Dolphins (fb:m.04vn5)     | Miami Dolphins (en)     |
| New Orleans Saints (fb:m.05g3v) | New Orleans Saints (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the teams Reggie Bush was on in 2011 by filtering the roster entries based on the 'from' and 'to' dates to include the year 2011. The answer matches the query result, listing both the New Orleans Saints and the Miami Dolphins. The query also optionally retrieves English labels for the teams, which is helpful for readability. The query respects the requirement to return actual identifiers and labels in optional clauses. Overall, the output is correct and complete.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?position ?positionLabel WHERE {
  fb:m.01jz6d fb:basketball.basketball_player.position_s ?position .
  OPTIONAL {
    ?position rdfs:label ?positionLabel FILTER ( lang( ?positionLabel ) = 'en' )
  }
}

Got 3 rows and 2 columns:
| position                    | positionLabel      |
| --------------------------- | ------------------ |
| Power forward (fb:m.01pv51) | Power forward (en) |
| Small forward (fb:m.0355dz) | Small forward (en) |
| Point forward (fb:m.03ww62) | Point forward (en) |

LeBron James played the positions Power forward, Small forward, and Point forward.

[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 position did lebron james play?

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

[Tool]
Example 1:
Question:
what was lebron james rookie year?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01jz6d ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01jz6d fb:sports.sports_award_winner.awards ?y .
  ?y fb:sports.sports_award.season ?x .
  ?y fb:sports.sports_award.award fb:m.02yqnh .
}

Using entities:
LeBron James, also known as The L-Train, King James, The Chosen One, LeBron Raymone James, Lebron James '#23' (fb:m.01jz6d): LeBron Raymone James is an American professional basketball play...r years and winning back-to-back championships in 2012 and 2013., has type Basketball Player
NBA Rookie of the Year Award, also known as Eddie Gottlieb Trophy (fb:m.02yqnh): The National Basketball Association's Rookie of the Year Award i...Ralph Sampson, David Robinson, Blake Griffin and Damian Lillard., has type Sports League Award Type

Using properties:
Award (fb:sports.sports_award.award): links to type Sports League Award Type, part of Sports League Award schema
Season (fb:sports.sports_award.season): links to type Sports League Season, part of Sports League Award schema
Awards (fb:sports.sports_award_winner.awards): part of Sports League Award Winner schema, links to type Sports League Award

Example 2:
Question:
what year lebron james came to the nba?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01jz6d ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01jz6d fb:sports.sports_award_winner.awards ?y .
  ?y fb:sports.sports_award.season ?x .
  ?y fb:sports.sports_award.award fb:m.02yqnh .
}

Using entities:
LeBron James, also known as The L-Train, King James, The Chosen One, LeBron Raymone James, Lebron James '#23' (fb:m.01jz6d): LeBron Raymone James is an American professional basketball play...r years and winning back-to-back championships in 2012 and 2013., has type Basketball Player
NBA Rookie of the Year Award, also known as Eddie Gottlieb Trophy (fb:m.02yqnh): The National Basketball Association's Rookie of the Year Award i...Ralph Sampson, David Robinson, Blake Griffin and Damian Lillard., has type Sports League Award Type

Using properties:
Award (fb:sports.sports_award.award): links to type Sports League Award Type, part of Sports League Award schema
Season (fb:sports.sports_award.season): links to type Sports League Season, part of Sports League Award schema
Awards (fb:sports.sports_award_winner.awards): part of Sports League Award Winner schema, links to type Sports League Award

Example 3:
Question:
what position did john stockton play?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01r6lw ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01r6lw fb:basketball.basketball_player.position_s ?x .
}

Using entities:
John Stockton, also known as John Houston Stockton (fb:m.01r6lw): John Houston Stockton is an American retired professional basket...nd a two-time Naismith Memorial Basketball Hall of Fame inductee, has type Basketball Player

Using properties:
Position(s) (fb:basketball.basketball_player.position_s): links to type Basketball Position, part of Basketball Player schema

[Assistant]
From the similar example for the question "what position did john stockton play?" we see that the property used to find the position of a basketball player is fb:basketball.basketball_player.position_s. Also, the entity for LeBron James is fb:m.01jz6d.

Next, I will write a SPARQL query to get the position(s) that LeBron James played using the property fb:basketball.basketball_player.position_s.

[Tool]
Got 3 rows and 2 columns:
| position                    | positionLabel      |
| --------------------------- | ------------------ |
| Power forward (fb:m.01pv51) | Power forward (en) |
| Small forward (fb:m.0355dz) | Small forward (en) |
| Point forward (fb:m.03ww62) | Point forward (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the positions played by LeBron James from the freebase knowledge graph. It returns the identifiers and English labels of the positions, which are Power forward, Small forward, and Point forward. The answer is accurate and complete based on the query results. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?character ?characterLabel WHERE {
  fb:m.019nnl fb:tv.tv_program.regular_cast ?appearance .
  ?appearance fb:tv.regular_tv_appearance.actor fb:m.021yw7 .
  ?appearance fb:tv.regular_tv_appearance.character ?character .
  OPTIONAL {
    ?character rdfs:label ?characterLabel .
    FILTER ( lang( ?characterLabel ) = 'en' )
  }
}

Got 15 rows and 2 columns, showing the first 5 and last 5 rows below:
| character                            | characterLabel            |
| ------------------------------------ | ------------------------- |
| Kevin Swanson (fb:g.120yrd_6)        | Kevin Swanson (en)        |
| Carter Pewterschmidt (fb:g.12245v14) | Carter Pewterschmidt (en) |
| Glenn Quagmire (fb:m.01sxhc)         | Glenn Quagmire (en)       |
| Tom Tucker (fb:m.026q0lb)            | Tom Tucker (en)           |
| Mickey McFinnegan (fb:m.028b1c8)     | Mickey McFinnegan (en)    |
| ...                                  | ...                       |
| Seamus (fb:m.05sr4_s)                | Seamus (en)               |
| Jasper (fb:m.05sr4x5)                | Jasper (en)               |
| Dr. Elmer Hartman (fb:m.05sr4zg)     | Dr. Elmer Hartman (en)    |
| Nate Griffin (fb:m.05srj40)          | Nate Griffin (en)         |
| Jake Tucker (fb:m.05ss3k_)           | Jake Tucker (en)          |

Seth MacFarlane voices multiple characters on Family Guy, including Kevin Swanson, Carter Pewterschmidt, Glenn Quagmire, Tom Tucker, Mickey McFinnegan, Seamus, Jasper, Dr. Elmer Hartman, Nate Griffin, and Jake Tucker, among others.

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

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

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

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

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

[User] what voices does seth macfarlane play on family guy?

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

[Tool]
Example 1:
Question:
what characters does seth macfarlane play in family guy?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.019nnl ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.019nnl fb:tv.tv_program.regular_cast ?y .
  ?y fb:tv.regular_tv_appearance.character ?x .
  ?y fb:tv.regular_tv_appearance.actor fb:m.021yw7 .
}

Using entities:
Family Guy, also known as I Griffin (fb:m.019nnl): Family Guy is an American adult animated sitcom created by Seth ... in 2004 for a fourth season, which began airing on May 1, 2005., has type TV Program
Seth MacFarlane, also known as Seth Woodbury MacFarlane, Stewie (fb:m.021yw7): Seth Woodbury MacFarlane is an American animator, voice actor, s...ily Guy, including two Primetime Emmy Awards and an Annie Award., has type TV Writer

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

Example 2:
Question:
what characters does seth macfarlane voice?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.021yw7 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.021yw7 fb:tv.tv_actor.starring_roles ?y .
  ?y fb:tv.regular_tv_appearance.character ?x .
  ?y fb:tv.regular_tv_appearance.special_performance_type fb:m.02nsjvf .
}

Using entities:
Seth MacFarlane, also known as Seth Woodbury MacFarlane, Stewie (fb:m.021yw7): Seth Woodbury MacFarlane is an American animator, voice actor, s...ily Guy, including two Primetime Emmy Awards and an Annie Award., has type TV Writer
Voice (fb:m.02nsjvf): A voice performance (on film, television, etc.) is one in which ... when an actor's voice is dubbed in over another actor's speech., has type Special film performance type

Using properties:
Character (fb:tv.regular_tv_appearance.character): part of TV Regular Performance schema, links to type TV Character
Special performance type (fb:tv.regular_tv_appearance.special_performance_type): links to type Special TV performance type, part of TV Regular Performance schema
Starring TV roles (fb:tv.tv_actor.starring_roles): links to type TV Regular Performance, part of TV Actor schema

Example 3:
Question:
what part does seth macfarlane play in family guy?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.019nnl ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.019nnl fb:tv.tv_program.regular_cast ?y .
  ?y fb:tv.regular_tv_appearance.character ?x .
  ?y fb:tv.regular_tv_appearance.actor fb:m.021yw7 .
}

Using entities:
Family Guy, also known as I Griffin (fb:m.019nnl): Family Guy is an American adult animated sitcom created by Seth ... in 2004 for a fourth season, which began airing on May 1, 2005., has type TV Program
Seth MacFarlane, also known as Seth Woodbury MacFarlane, Stewie (fb:m.021yw7): Seth Woodbury MacFarlane is an American animator, voice actor, s...ily Guy, including two Primetime Emmy Awards and an Annie Award., has type TV Writer

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

[Assistant]
From the similar examples, it appears that the entity for Family Guy is fb:m.019nnl and the entity for Seth MacFarlane is fb:m.021yw7. The property to find characters played by an actor in a TV program is through the regular cast of the TV program and the character property of the regular TV appearance.

I will now construct a SPARQL query to find the characters Seth MacFarlane voices in Family Guy using these entities and properties.

[Tool]
Got 15 rows and 2 columns, showing the first 5 and last 5 rows below:
| character                            | characterLabel            |
| ------------------------------------ | ------------------------- |
| Kevin Swanson (fb:g.120yrd_6)        | Kevin Swanson (en)        |
| Carter Pewterschmidt (fb:g.12245v14) | Carter Pewterschmidt (en) |
| Glenn Quagmire (fb:m.01sxhc)         | Glenn Quagmire (en)       |
| Tom Tucker (fb:m.026q0lb)            | Tom Tucker (en)           |
| Mickey McFinnegan (fb:m.028b1c8)     | Mickey McFinnegan (en)    |
| ...                                  | ...                       |
| Seamus (fb:m.05sr4_s)                | Seamus (en)               |
| Jasper (fb:m.05sr4x5)                | Jasper (en)               |
| Dr. Elmer Hartman (fb:m.05sr4zg)     | Dr. Elmer Hartman (en)    |
| Nate Griffin (fb:m.05srj40)          | Nate Griffin (en)         |
| Jake Tucker (fb:m.05ss3k_)           | Jake Tucker (en)          |

[Assistant]
Seth MacFarlane voices the following characters on Family Guy: Kevin Swanson, Carter Pewterschmidt, Glenn Quagmire, Tom Tucker, Mickey McFinnegan, Seamus, Jasper, Dr. Elmer Hartman, Nate Griffin, and Jake Tucker, among others.

I will now provide the final answer with the SPARQL query.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the characters voiced by Seth MacFarlane on Family Guy from the Freebase knowledge graph. It uses appropriate entities and properties to link Seth MacFarlane as an actor to the characters he voices in the TV program Family Guy. The answer includes a comprehensive list of characters, matching the query results. The query also optionally retrieves English labels for better readability. The output is accurate, complete, and well-formatted. No further refinement is necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?actor ?actorName WHERE {
  fb:m.0gmm518 fb:film.film_character.portrayed_in_films ?performance .
  ?performance fb:film.performance.actor ?actor .
  OPTIONAL {
    ?actor fb:type.object.name ?actorName .
    FILTER ( LANG( ?actorName ) = "en" )
  }
}

The actor who plays Edward Scissorhands is Johnny Depp.

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

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

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

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

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

[User] who plays edward scissorhands?

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

[Tool]
Example 1:
Question:
who plays edward elric?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.074qkg ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.074qkg fb:tv.tv_character.appeared_in_tv_program ?y .
  ?y fb:tv.regular_tv_appearance.actor ?x .
}

Using entities:
Edward Elric (fb:m.074qkg): Edward Elric, commonly nicknamed Ed, is a fictional character an... moments have been celebrated as the best moments in the series., has type Film character

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

Example 2:
Question:
who plays edward elric?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.074qkg ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.074qkg fb:film.film_character.portrayed_in_films ?y .
  ?y fb:film.performance.actor ?x .
}

Using entities:
Edward Elric (fb:m.074qkg): Edward Elric, commonly nicknamed Ed, is a fictional character an... moments have been celebrated as the best moments in the series., has type Film character

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

Example 3:
Question:
who plays jacob black in the twilight movies?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03nm_fh ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03nm_fh fb:film.film.starring ?y .
  ?y fb:film.performance.actor ?x .
  ?y fb:film.performance.character fb:m.02qd_td .
}

Using entities:
Jacob Black, also known as Jake (fb:m.02qd_td): Jacob Black is a character in the Twilight series by Stephenie M...t 1 and Breaking Dawn Part 2, Jacob is played by Taylor Lautner., has type Film character
Twilight, also known as Twilight - La fascination, Twilight - Biss zum Morgengrau, Twilight: Chapitre 1 - Fascination, Twilight, chapitre I : Fascination, Twilight - Evighetens kyss (fb:m.03nm_fh): Twilight is a 2008 American vampire romance film based on Stephe...VD March 21, 2009 and became the most purchased DVD of the year., has type Film

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

[Assistant]
The examples show that for a film character, the property fb:film.film_character.portrayed_in_films links to film performances, and fb:film.performance.actor links to the actor who played the character.

Next, I will search for the entity "Edward Scissorhands" in the freebase knowledge graph to find the exact entity identifier for the character.

[Tool]
Top 10 entity alternatives:
1. Edward Scissorhands, also known as Edward Skaroruki, El joven manos de tijera, El joven manos de tijeras, Johnny Depp: O psalidoheris, Makas eller (fb:m.01s3vk): Edward Scissorhands is a 1990 American romantic dark fantasy fil...the Tampa Bay Area of Florida between March 10 and June 10 1990., has type Award-Winning Work
2. Edward Scissorhands: Introduction (Titles), also known as Introduction (Titles), Introduction, Edward Scissorhands: Main Titles, Edward Scissorhands (main title), Edward Scissorhands: Introduction (Titles) (fb:m.0m4qjl): has type Musical Recording, has type Canonical Version
3. Edward Scissorhands (fb:m.03fr14q): has type Consumer product
4. Edward Scissorhands (fb:m.0dszf1q): has type Consumer product
5. Edward Scissorhands (fb:m.0f6rqzl): has type Consumer product
6. Edward Scissorhands (fb:m.0gmm518): Edward Scissorhands is a fictional character from the 2012 TV series  Family Guy episode Lois Comes Out of Her Shell., Edward Scissorhands is a fictional character from the 1990 film Edward Scissorhands., has type Film character
7. Edward Scissorhands (fb:m.0f4l78x): has type Musical Release
8. Edward Scissorhands (fb:m.036767g): has type Musical Release
9. Edward Scissorhands, also known as Main Title/Ice Dance, Edward Scissorhands: Main Title, Edward Scissorhands: Main Title / Ice Dance, Edward Scissorhands: Main Theme, Edward Scissorhands (Main Title/Ice Dance) (fb:m.0f15kzy): has type Musical Recording
10. Edward Scissorhands, also known as Edward Scissorhands Soundtrack (fb:m.01gydxd): has type Soundtrack

[Assistant]
The entity fb:m.0gmm518 corresponds to Edward Scissorhands as a film character from the 1990 film Edward Scissorhands. This seems to be the correct entity for the character.

Next, I will search for properties of this entity related to the actor or who plays this character.

[Tool]
Top 10 property alternatives:
1. Appeared In TV Episodes (fb:tv.tv_character.appeared_in_tv_episodes): links to type TV episode performance, part of TV Character schema
2. Portrayed in films (fb:film.film_character.portrayed_in_films): links to type Film performance, part of Film character schema
3. Name (fb:type.object.name): part of Object schema, links to type Text
4. Type (fb:type.object.type): part of Object schema, links to type Type
5. Gender (fb:fictional_universe.fictional_character.gender): part of Fictional Character schema, links to type Character Gender
6. Notable for (fb:common.topic.notable_for): links to type notable_for, part of Topic schema
7. Also known as (fb:common.topic.alias): part of Topic schema, links to type Text

No other items found

[Assistant]
The property fb:film.film_character.portrayed_in_films is the relevant property that links the film character Edward Scissorhands to film performances. From these performances, we can get the actor using the property fb:film.performance.actor.

I will now write a SPARQL query to find the actor who plays Edward Scissorhands.

[Tool]
Got 1 row and 2 columns:
| actor                    | actorName        |
| ------------------------ | ---------------- |
| Johnny Depp (fb:m.0jfx1) | Johnny Depp (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the actor who plays Edward Scissorhands by linking the character to the film performance and then to the actor. The query returns the actor's identifier and English name, which matches the expected answer, Johnny Depp. The query uses appropriate properties and entities, and the execution result confirms the correctness. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?book ?title WHERE {
  fb:m.01lwx fb:book.author.works_written ?book .
  OPTIONAL {
    ?book rdfs:label ?title .
    FILTER ( lang( ?title ) = 'en' )
  }
}

Got 153 rows and 2 columns, showing the first 5 and last 5 rows below:
| book                                                                               | title                                                                    |
| ---------------------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Charles Darwin's zoology notes & specimen lists from H.M.S. Beagle (fb:m.010rjsvs) | Charles Darwin's zoology notes & specimen lists from H.M.S. Beagle (en)  |
| Charles Darwin's letters (fb:m.010sfr1g)                                           | Charles Darwin's letters (en)                                            |
| The Voyage of the Beagle (fb:m.01qq45)                                             | The Voyage of the Beagle (en)                                            |
| The Descent of Man, and Selection in Relation to Sex (fb:m.02l2z6)                 | The Descent of Man, and Selection in Relation to Sex (en)                |
| The zoology of the voyage of H.M...eagle during the years 1832-1836 (fb:m.02pzzmw) | The zoology of the voyage of H.M...eagle during the years 1832-1836 (en) |
| ...                                                                                | ...                                                                      |
| A Monograph on the Fossil Balanidæ and Verrucidæ of Great Britain (fb:m.0y4rxbs)   | A Monograph on the Fossil Balanidæ and Verrucidæ of Great Britain (en)   |
| A Monograph of the Sub-class Cir...irripedes); the Verrucidae, etc. (fb:m.0y4rydg) | A Monograph of the Sub-class Cir...irripedes); the Verrucidae, etc. (en) |
| A Monograph on the Fossil Lepadi...ated Cirripedes of Great Britain (fb:m.0y4ryn4) | A Monograph on the Fossil Lepadi...ated Cirripedes of Great Britain (en) |
| A Monograph of the Sub-class Cir...ae; or, Pedunculated Cirripedes. (fb:m.0y4ryvd) | A Monograph of the Sub-class Cir...ae; or, Pedunculated Cirripedes. (en) |
| Geology from A Manual of scienti...dapted for travellers in general (fb:m.0y4rzcc) | Geology from A Manual of scienti...dapted for travellers in general (en) |

Charles Darwin wrote multiple books. Some of the titles include "Charles Darwin's zoology notes & specimen lists from H.M.S. Beagle," "Charles Darwin's letters," "The Voyage of the Beagle," "The Descent of Man, and Selection in Relation to Sex," and "The zoology of the voyage of H.M.S. Beagle during the years 1832-1836," among others.

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

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

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

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

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

[User] what was the title of the book charles darwin wrote?

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

[Tool]
Example 1:
Question:
what was the name of the book that charles darwin wrote?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01lwx ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01lwx fb:book.author.works_written ?x .
}

Using entities:
Charles Darwin, also known as Charles Robert Darwin, Darwin, Charles (fb:m.01lwx): Charles Robert Darwin, FRS was an English naturalist and geologi...g theory of the life sciences, explaining the diversity of life., has type Academic

Using properties:
Works written (fb:book.author.works_written): links to type Written Work, part of Author schema

Example 2:
Question:
what book did charles darwin write on evolution?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01lwx ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01lwx fb:book.author.works_written ?x .
  ?x fb:common.topic.notable_types fb:m.01xryvm .
  ?x fb:book.written_work.subjects fb:m.02j8z .
}

Using entities:
Charles Darwin, also known as Charles Robert Darwin, Darwin, Charles (fb:m.01lwx): Charles Robert Darwin, FRS was an English naturalist and geologi...g theory of the life sciences, explaining the diversity of life., has type Academic
Book (fb:m.01xryvm): A book is a written work or a collection of written works in boo...For more information, please see the Freebase wiki page on book.
Evolution (fb:m.02j8z): Evolution is change in heritable traits of biological population...ll species that ever lived on Earth are estimated to be extinct., has type Field of study

Using properties:
Works written (fb:book.author.works_written): links to type Written Work, part of Author schema
Subjects (fb:book.written_work.subjects): links to type Literature Subject, part of Written Work schema
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type

Example 3:
Question:
what is the work of charles darwin?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01lwx ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01lwx fb:book.book_subject.works ?x .
}

Using entities:
Charles Darwin, also known as Charles Robert Darwin, Darwin, Charles (fb:m.01lwx): Charles Robert Darwin, FRS was an English naturalist and geologi...g theory of the life sciences, explaining the diversity of life., has type Academic

Using properties:
Works Written About This Topic (fb:book.book_subject.works): part of Literature Subject schema, links to type Written Work

[Assistant]
From the similar examples, the entity for Charles Darwin is fb:m.01lwx and the property for works written by an author is fb:book.author.works_written. We can use these to query the titles of the books Charles Darwin wrote.

Next, I will write a SPARQL query to get the titles of the books written by Charles Darwin.

[Tool]
Got 153 rows and 2 columns, showing the first 5 and last 5 rows below:
| book                                                                               | title                                                                    |
| ---------------------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Charles Darwin's zoology notes & specimen lists from H.M.S. Beagle (fb:m.010rjsvs) | Charles Darwin's zoology notes & specimen lists from H.M.S. Beagle (en)  |
| Charles Darwin's letters (fb:m.010sfr1g)                                           | Charles Darwin's letters (en)                                            |
| The Voyage of the Beagle (fb:m.01qq45)                                             | The Voyage of the Beagle (en)                                            |
| The Descent of Man, and Selection in Relation to Sex (fb:m.02l2z6)                 | The Descent of Man, and Selection in Relation to Sex (en)                |
| The zoology of the voyage of H.M...eagle during the years 1832-1836 (fb:m.02pzzmw) | The zoology of the voyage of H.M...eagle during the years 1832-1836 (en) |
| ...                                                                                | ...                                                                      |
| A Monograph on the Fossil Balanidæ and Verrucidæ of Great Britain (fb:m.0y4rxbs)   | A Monograph on the Fossil Balanidæ and Verrucidæ of Great Britain (en)   |
| A Monograph of the Sub-class Cir...irripedes); the Verrucidae, etc. (fb:m.0y4rydg) | A Monograph of the Sub-class Cir...irripedes); the Verrucidae, etc. (en) |
| A Monograph on the Fossil Lepadi...ated Cirripedes of Great Britain (fb:m.0y4ryn4) | A Monograph on the Fossil Lepadi...ated Cirripedes of Great Britain (en) |
| A Monograph of the Sub-class Cir...ae; or, Pedunculated Cirripedes. (fb:m.0y4ryvd) | A Monograph of the Sub-class Cir...ae; or, Pedunculated Cirripedes. (en) |
| Geology from A Manual of scienti...dapted for travellers in general (fb:m.0y4rzcc) | Geology from A Manual of scienti...dapted for travellers in general (en) |

[Assistant]
Charles Darwin wrote multiple books. Some of the titles include "Charles Darwin's zoology notes & specimen lists from H.M.S. Beagle," "Charles Darwin's letters," "The Voyage of the Beagle," "The Descent of Man, and Selection in Relation to Sex," and "The zoology of the voyage of H.M.S. Beagle during the years 1832-1836," among others.

I will now provide the final answer with the SPARQL query.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the titles of books written by Charles Darwin from the Freebase knowledge graph. The answer provides a representative sample of book titles authored by him, which is appropriate given that he wrote multiple books. The query uses the correct entity and property, and the results include English labels for readability. The output is complete and answers the user's question well.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?causeOfDeath WHERE {
  fb:m.034bs fb:people.deceased_person.cause_of_death ?causeOfDeath .
}

Got 1 row and 1 column:
| causeOfDeath              |
| ------------------------- |
| Tuberculosis (fb:m.07jwr) |

George Orwell died of Tuberculosis.

[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 george orwell died of?

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

[Tool]
Example 1:
Question:
what did george v die of?

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

Using entities:
George V, also known as George Frederick Ernest Albert, Prince of Wales, George Frederick Ernest Albert Wettin (fb:m.0cmpn): George V was King of the United Kingdom and the British Dominion...xe-Coburg and Gotha as a result of anti-German public sentiment., has type Monarch

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

Example 2:
Question:
what did king george vi die of?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0cm83 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0cm83 fb:people.deceased_person.cause_of_death ?x .
}

Using entities:
George VI, also known as Albert Frederick Arthur George, Prince Albert, King George VI, King George, H.M. King George VI (fb:m.0cm83): George VI was King of the United Kingdom and the Dominions of th...and its transition into the Commonwealth of Nations accelerated., has type Monarch

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

Example 3:
Question:
what did lbj die of?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0f7fy ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0f7fy fb:people.deceased_person.cause_of_death ?x .
}

Using entities:
Lyndon B. Johnson, also known as Sen. Lyndon B. Johnson, President Lyndon Johnson, President Lyndon B. Johnson, Lyndon Johnson, Lyndon B Johnson (fb:m.0f7fy): Lyndon Baines Johnson, often referred to as LBJ, was the 36th Pr... of the executive branch, as well as in both houses of Congress., has type US President

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

[Assistant] From the examples, the property for cause of death is fb:people.deceased_person.cause_of_death. Now I need to find the entity for George Orwell in Freebase. I will search for "George Orwell" entity first.

[Tool]
Top 10 entity alternatives:
1. George Orwell, also known as Eric Arthur Blair (fb:m.034bs): Eric Arthur Blair, who used the pen name George Orwell, was an E...ht Police, Room 101, Memory hole, doublethink, and thoughtcrime., Eric Arthur Blair (25 June 1903 21 January 1950), better known b...in language.His two most popular works are 1984 and Animal Farm., has type Author
2. George Orwell (fb:m.0b3mv01): has type Book Edition
3. George Orwell (fb:m.08n0rk7): has type Book Edition
4. George Orwell (fb:m.0c5xtp5): has type Book Edition
5. George Orwell (fb:m.04vtrvn): has type Book Edition
6. George Orwell (fb:m.04t4gy2): has type Book
7. George Orwell (fb:m.0c6n17d): has type Book Edition
8. George Orwell (fb:m.04txhhn): has type Book Edition
9. George Orwell (fb:m.079p0vv): has type Book Edition
10. George Orwell (fb:m.079p0vc): has type Book Edition

[Assistant] The entity for George Orwell as the author is fb:m.034bs. Now I will check the property fb:people.deceased_person.cause_of_death for this entity to find out what George Orwell died of.

[Tool]
Got 1 row and 1 column:
| causeOfDeath              |
| ------------------------- |
| Tuberculosis (fb:m.07jwr) |

[Tool]
Got 1 row and 1 column:
| causeOfDeathLabel |
| ----------------- |
| Tuberculosis (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the cause of death for George Orwell using the appropriate entity and property from the Freebase knowledge graph. The answer 'Tuberculosis' matches the query result and is accurate. The query returns the identifier of the cause of death, fulfilling the requirement to return actual IRIs. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?attraction ?attractionLabel WHERE {
  fb:m.0f2wj fb:travel.travel_destination.tourist_attractions ?attraction .
  OPTIONAL {
    ?attraction rdfs:label ?attractionLabel .
    FILTER ( lang( ?attractionLabel ) = 'en' )
  }
}

Got 10 rows and 2 columns:
| attraction                                | attractionLabel                  |
| ----------------------------------------- | -------------------------------- |
| Griffith Observatory (fb:m.02_4ml)        | Griffith Observatory (en)        |
| Universal CityWalk (fb:m.025shr0)         | Universal CityWalk (en)          |
| Grauman's Egyptian Theatre (fb:m.029x2z)  | Grauman's Egyptian Theatre (en)  |
| Dolby Theatre (fb:m.02hksn)               | Dolby Theatre (en)               |
| Hollywood Heritage Museum (fb:m.031dp8)   | Hollywood Heritage Museum (en)   |
| TCL Chinese Theatre (fb:m.04n2h_)         | TCL Chinese Theatre (en)         |
| Hollywood Sign (fb:m.050ctv)              | Hollywood Sign (en)              |
| Universal Studios Hollywood (fb:m.05qsy8) | Universal Studios Hollywood (en) |
| Hollywood Wax Museum (fb:m.07_dsf)        | Hollywood Wax Museum (en)        |
| Hollywood Walk of Fame (fb:m.0qjfl)       | Hollywood Walk of Fame (en)      |

I found several tourist attractions in Hollywood, CA that you can visit this weekend. They include Griffith Observatory, Universal CityWalk, Grauman's Egyptian Theatre, Dolby Theatre, Hollywood Heritage Museum, TCL Chinese Theatre, Hollywood Sign, Universal Studios Hollywood, Hollywood Wax Museum, and Hollywood Walk of Fame.

If you want, I can provide more details about any of these attractions. Would you like that? Or do you want me to finalize the answer?

[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 to do in hollywood ca this weekend?

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

[Tool]
Example 1:
Question:
what to do in venice beach ca?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07_fl ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07_fl fb:travel.travel_destination.tourist_attractions ?x .
}

Using entities:
Venice, also known as Venice Beach, California, Venice, Los Angeles, California, Venice, Los Angeles, Venice, California (fb:m.07_fl): Venice is a residential, commercial, and recreational beachfront...that features performers, fortune-tellers, artists, and vendors., has type Neighborhood

Using properties:
Tourist attractions (fb:travel.travel_destination.tourist_attractions): part of Travel destination schema, links to type Tourist attraction

Example 2:
Question:
what can you do in palm springs ca?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0r3tq ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0r3tq fb:travel.travel_destination.tourist_attractions ?x .
}

Using entities:
Palm Springs, also known as Palm Springs, California, Riverside County / Palm Springs city (fb:m.0r3tq): Palm Springs is a desert resort city in Riverside County, Califo...nd mountain areas are major forms of recreation in Palm Springs., has type City/Town/Village

Using properties:
Tourist attractions (fb:travel.travel_destination.tourist_attractions): part of Travel destination schema, links to type Tourist attraction

Example 3:
Question:
what is there to do in palm springs?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0r3tq ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0r3tq fb:travel.travel_destination.tourist_attractions ?x .
}

Using entities:
Palm Springs, also known as Palm Springs, California, Riverside County / Palm Springs city (fb:m.0r3tq): Palm Springs is a desert resort city in Riverside County, Califo...nd mountain areas are major forms of recreation in Palm Springs., has type City/Town/Village

Using properties:
Tourist attractions (fb:travel.travel_destination.tourist_attractions): part of Travel destination schema, links to type Tourist attraction

[Assistant]
From the examples, it seems that a good approach to answer "what to do in Hollywood CA this weekend?" is to find the entity for Hollywood, CA, and then query for tourist attractions or things to do related to that entity.

Step 1: Search for the entity "Hollywood, CA" in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Hollywood, CA (fb:m.024vvx0): has type Canonical Version
2. Hollywood, CA (fb:m.0l7kvp8)
3. Hollywood, also known as Hollywood, California, Hollywood, Los Angeles, California (fb:m.0f2wj): Hollywood is a neighborhood in the central region of Los Angeles...tually becoming the most dominant and recognizable in the world., has type Neighborhood
4. Captain Hollywood, also known as Hollywood, Captain, Tony Dawson-Harrison, Captain Hollywood - More & More (fb:m.03f1vfn): has type Composer
5. Hollywood Canteen (fb:m.0b3klf): Hollywood Canteen is a 1944 American musical romantic comedy fil... cameo roles. The film received three Academy Award nominations., has type Film
6. Hollywood Cavalcade (fb:m.08q3qg2): Hollywood Cavalcade is a 1939 American film featuring Alice Faye...ctionalized look at silent-era performers and their productions., Hollywood Cavalcade is a 1939 film directed by Irving Cummings and Malcolm St. Clair., has type Film
7. Canal Hollywood (fb:m.02w1hcj): Canal Hollywood is a movies cable channel available in Spain and...w cable, satellite or IPTV in Angola, Mozambique and Cape Verde., has type Employer
8. Capri Hollywood Film Festival, also known as Capri, Hollywood (fb:m.0s953m_): Capri Hollywood Film Festival is an international film festival., has type Film festival
9. Hollywood Capers (fb:m.0h3rfqt): Hollywood Capers is a short animated film of the Looney Tunes se...hat have fallen into the public domain. Porky also made a cameo., has type Film
10. Hollywood Canteen (fb:m.0j7711m): The Hollywood Canteen operated at 1451 Cahuenga Boulevard in Hol...taffed completely by volunteers from the entertainment industry., has type Organization

[Assistant]
The entity "Hollywood, also known as Hollywood, California, Hollywood, Los Angeles, California" with the identifier fb:m.0f2wj seems to be the best match for Hollywood, CA as a neighborhood.

Step 2: Now, I will look for properties related to tourist attractions or things to do for this entity.

[Tool]
Top 10 property alternatives:
1. Tourist attractions (fb:travel.travel_destination.tourist_attractions): part of Travel destination schema, links to type Tourist attraction
2. Tour operators (fb:travel.travel_destination.tour_operators): part of Travel destination schema, links to type Tour operator
3. Rides (fb:amusement_parks.ride_theme.rides): part of Amusement Ride Theme schema, links to type Amusement Ride
4. Casinos in this theme (fb:base.casinos.casino_theme.casinos_in_this_theme): part of Casino theme schema, links to type Casino
5. Characters that have lived here (fb:fictional_universe.fictional_setting.characters_that_have_lived_here): links to type Fictional Character, part of Fictional Setting schema
6. Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
7. Daylife Topic (fb:common.identity.daylife_topic): links to type Enumeration, part of Identity schema
8. Country (fb:base.biblioness.bibs_location.country): part of Bibs Location schema, links to type Location
9. People born here (fb:location.location.people_born_here): part of Location schema, links to type Person
10. TV shows filmed here (fb:tv.tv_location.tv_shows_filmed_here): part of TV Location schema, links to type TV Program

No other items found

[Assistant]
The property "Tourist attractions" (fb:travel.travel_destination.tourist_attractions) is available for the entity Hollywood, CA.

Step 3: I will now construct a SPARQL query to get the tourist attractions in Hollywood, CA.

[Tool]
Got 10 rows and 2 columns:
| attraction                                | attractionLabel                  |
| ----------------------------------------- | -------------------------------- |
| Griffith Observatory (fb:m.02_4ml)        | Griffith Observatory (en)        |
| Universal CityWalk (fb:m.025shr0)         | Universal CityWalk (en)          |
| Grauman's Egyptian Theatre (fb:m.029x2z)  | Grauman's Egyptian Theatre (en)  |
| Dolby Theatre (fb:m.02hksn)               | Dolby Theatre (en)               |
| Hollywood Heritage Museum (fb:m.031dp8)   | Hollywood Heritage Museum (en)   |
| TCL Chinese Theatre (fb:m.04n2h_)         | TCL Chinese Theatre (en)         |
| Hollywood Sign (fb:m.050ctv)              | Hollywood Sign (en)              |
| Universal Studios Hollywood (fb:m.05qsy8) | Universal Studios Hollywood (en) |
| Hollywood Wax Museum (fb:m.07_dsf)        | Hollywood Wax Museum (en)        |
| Hollywood Walk of Fame (fb:m.0qjfl)       | Hollywood Walk of Fame (en)      |

[Assistant]
I found several tourist attractions in Hollywood, CA that you can visit this weekend. They include Griffith Observatory, Universal CityWalk, Grauman's Egyptian Theatre, Dolby Theatre, Hollywood Heritage Museum, TCL Chinese Theatre, Hollywood Sign, Universal Studios Hollywood, Hollywood Wax Museum, and Hollywood Walk of Fame.

If you want, I can provide more details about any of these attractions. Would you like that? Or do you want me to finalize the answer?

[User]
Feedback (status=done):
The system correctly identified Hollywood, CA as the travel destination and retrieved a list of tourist attractions associated with it from the Freebase knowledge graph. The SPARQL query is well-formed, returning the identifiers and English labels of the attractions, which matches the user's question about what to do in Hollywood this weekend. The answer provides a comprehensive list of notable attractions without irrelevant information. The system also offers to provide more details or finalize the answer, which is user-friendly. Overall, the output is accurate, complete, and appropriate for the question asked.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?language ?languageLabel WHERE {
  fb:m.07ssc fb:location.country.languages_spoken ?language .
  OPTIONAL {
    ?language rdfs:label ?languageLabel .
    FILTER ( lang( ?languageLabel ) = 'en' )
  }
}

Got 8 rows and 2 columns:
| language                           | languageLabel              |
| ---------------------------------- | -------------------------- |
| Cornish Language (fb:m.01v0g)      | Cornish Language (en)      |
| English Language (fb:m.02h40lc)    | English Language (en)      |
| Esperanto Language (fb:m.02jcw)    | Esperanto Language (en)    |
| Irish (fb:m.03x42)                 | Irish (en)                 |
| Scottish Gaelic (fb:m.070zw)       | Scottish Gaelic (en)       |
| Welsh Language (fb:m.083tk)        | Welsh Language (en)        |
| British Sign Language (fb:m.0ct8m) | British Sign Language (en) |
| Scots Language (fb:m.0h407)        | Scots Language (en)        |

The languages spoken in the United Kingdom include English, Cornish, Esperanto, Irish, Scottish Gaelic, Welsh, British Sign Language, and Scots.

[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 do people speak in uk?

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

[Tool]
Example 1:
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 2:
Question:
what language is mainly spoken in england?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02jx1 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02jx1 fb:location.country.languages_spoken ?x .
  ?x fb:language.human_language.main_country fb:m.02jx1 .
}

Using entities:
England, also known as Albion, England, Loegria, Pow Sows (fb:m.02jx1): England /ˈɪŋɡlənd/ is a country that is part of the United Kingd... had a significant cultural and legal impact on the wider world., has type Country

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

Example 3:
Question:
what does scottish people speak?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.06q1r ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.06q1r fb:location.country.languages_spoken ?x .
}

Using entities:
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

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

[Assistant] From the similar examples, it is clear that the entity for the United Kingdom is fb:m.07ssc and the property for languages spoken in a country is fb:location.country.languages_spoken. I will now write a SPARQL query to get the languages spoken in the United Kingdom using these.

[Tool]
Got 8 rows and 2 columns:
| language                           | languageLabel              |
| ---------------------------------- | -------------------------- |
| Cornish Language (fb:m.01v0g)      | Cornish Language (en)      |
| English Language (fb:m.02h40lc)    | English Language (en)      |
| Esperanto Language (fb:m.02jcw)    | Esperanto Language (en)    |
| Irish (fb:m.03x42)                 | Irish (en)                 |
| Scottish Gaelic (fb:m.070zw)       | Scottish Gaelic (en)       |
| Welsh Language (fb:m.083tk)        | Welsh Language (en)        |
| British Sign Language (fb:m.0ct8m) | British Sign Language (en) |
| Scots Language (fb:m.0h407)        | Scots Language (en)        |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the languages spoken in the United Kingdom by using the appropriate entity and property. It returns the language identifiers and their English labels, which matches the user's question. The answer is complete and accurate based on the execution result. No further refinement is necessary.