PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?actor ?actorName WHERE {
  fb:m.02qd_td fb:film.film_character.portrayed_in_films ?performance .
  ?performance fb:film.performance.actor ?actor .
  OPTIONAL {
    ?actor rdfs:label ?actorName
  }
}

Got 39 rows and 2 columns, showing the first 5 and last 5 rows below:
| actor                        | actorName                 |
| ---------------------------- | ------------------------- |
| Taylor Lautner (fb:m.07ldhs) | Taylor Lautner (ca)       |
| Taylor Lautner (fb:m.07ldhs) | Taylor Lautner (cs)       |
| Taylor Lautner (fb:m.07ldhs) | Taylor Lautner (da)       |
| Taylor Lautner (fb:m.07ldhs) | Taylor Lautner (de)       |
| Taylor Lautner (fb:m.07ldhs) | Taylor Lautner (en)       |
| ...                          | ...                       |
| Taylor Lautner (fb:m.07ldhs) | เทย์เลอร์ เลาต์เนอร์ (th) |
| Taylor Lautner (fb:m.07ldhs) | 테일러 로트너 (ko)              |
| Taylor Lautner (fb:m.07ldhs) | テイラー・ロートナー (ja)           |
| Taylor Lautner (fb:m.07ldhs) | 泰勒·洛特 (zh-Hant)           |
| Taylor Lautner (fb:m.07ldhs) | 泰勒·洛特纳 (zh)               |

The actor who played Jacob Black in Twilight is Taylor Lautner.

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

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

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

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

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

[User] who played jacob black in twilight?

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

[Tool]
Example 1:
Question:
what god does taoism believe in?

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

Using entities:
Taoism, also known as Daoism, Dowism, Taoist (fb:m.07gvx): Taoism is a philosophical, ethical or religious tradition of Chi...ation practice still adhered to by modern-day religious Taoists., has type Religion

Using properties:
Deity Or Deities (fb:religion.religion.deities): part of Religion schema, links to type Deity

Example 2:
Question:
what was theodore roosevelt's political party?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07hyk ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07hyk fb:government.politician.party ?y .
  ?y fb:government.political_party_tenure.party ?x .
}

Using entities:
Theodore Roosevelt, also known as Theodore Roosevelt, Jr., The Happy Warrior, Theodore Roosevelt Jr., The Meddler, The Man on Horseback (fb:m.07hyk): Theodore Roosevelt, often referred to as Teddy or TR, was an Ame...turned to run unsuccessfully for Mayor of New York City in 1886., has type US President

Using properties:
Party (fb:government.political_party_tenure.party): part of Political Party Tenure schema, links to type Political party
Party (fb:government.politician.party): links to type Political Party Tenure, part of Politician schema

Example 3:
Question:
what country did osama bin laden live in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.05mg9 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.05mg9 fb:people.person.places_lived ?y .
  ?y fb:people.place_lived.location ?x .
}

Using entities:
Osama bin Laden, also known as Sheik al-Mujahid, The Director, The Emir, The Jihadist Sheik, The Prince (fb:m.05mg9): Osama bin Mohammed bin Awad bin Laden was the founder of al-Qaed...ted States, initiating a series of bombings and related attacks., has type Organization leader

Using properties:
Places lived (fb:people.person.places_lived): links to type Place lived, part of Person schema
Location (fb:people.place_lived.location): part of Place lived schema, links to type Location

[Assistant]
The question is "who played Jacob Black in Twilight?" We need to find the entity for "Jacob Black" and the entity for "Twilight" (likely the movie). Then we need to find the property that links the character Jacob Black to the actor who played him in the movie Twilight.

Step 1: Search for the entity "Jacob Black" in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. 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
2. Jacob Black (fb:m.0g7tl26): has type Musical Recording
3. Jacob Black (fb:m.0124dfnr)
4. Jacob Black (fb:m.012v1ds4)
5. Jacob Black (fb:m.0m_hsqg)
6. Jack Black, also known as Jables, JB, Tenacious D, Thomas Jacob Black, Thomas Jacob "Jack" Black (fb:m.01vsn38): Thomas Jacob "Jack" Black is an American actor, comedian, singer...roup Tenacious D, which he formed in 1994 with friend Kyle Gass., has type Celebrity
7. Black jacobin (fb:m.02vtsld): The black jacobin, previously placed in the monotypic Melanotroc... "females", have a distinctive rufous patch in the malar region., has type Organism Classification
8. The Black Jacobins, also known as black Jacobins (fb:m.0265r1x): The Black Jacobins: Toussaint L'Ouverture and the San Domingo Re...s, and "free" blacks and mulattoes leading up to the Revolution., has type Book
9. Jacob Black-Michaud (fb:m.0c4btg3): has type Author
10. Jacob Blackburn (fb:m.0j1gytw): Jacob Blackburn is a fictional character from the 2011 film Monster Brawl., has type Film character

[Assistant]
The entity "Jacob Black" as a film character in the Twilight series is fb:m.02qd_td. This matches our context.

Step 2: Search for the entity "Twilight" to confirm the movie entity.

[Tool]
Top 10 entity alternatives:
1. 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
2. Roger Sanchez, also known as The Deep, Mariachi, El, The Neanderthal, The Funk Junkeez, The Funkjunkeez (fb:m.04ptf9): Roger Sanchez is an American house music DJ, Remixer and Grammy ...n 2007 and has received 8 IDMA nominations for Best American DJ., has type Musical Artist
3. Twilight (fb:m.0c34ct): Twilight is a young-adult vampire-romance novel by author Stephe... the second-biggest selling, losing only to its sequel New Moon., has type Book
4. Twilight, also known as Twilight Series (fb:m.02z49wj): Twilight is a series of four vampire-themed fantasy romance nove...ined immense popularity and commercial success around the world., has type Adapted Work
5. Twilight (fb:m.02lnz_): Twilight is the illumination of the Earth's lower atmosphere whe...an have a similar appearance in the night sky at high latitudes.
6. Twilight (fb:m.03f418): Twilight is a 1998 thriller/Neo-noir film directed by Robert Ben...o, and the original music score was composed by Elmer Bernstein., has type Film
7. Twilight, also known as Twilight (deluxe edition), Twilight: Music From the Original Motion Picture Soundtrack, Twilight Soundtrack, Twilight: The Score, Twilight: The Score Soundtrack (fb:m.0dshzg9): The Twilight soundtrack is the official music for the 2008 film ..."Decode" by Paramore, were nominated for the 2010 Grammy Awards., has type Musical Album
8. Angel, also known as Angelus, Liam, The Scourge of Europe, Twilight (fb:m.0339rb): Angel is a fictional character created by Joss Whedon and David ... became famous as the most sadistic vampire in European history., has type TV Character
9. The Message, also known as Twilight, The Match, Sound of the Wind, Feng sheng, Rumor (fb:m.09s60jk): The Message is a 2009 espionage thriller set in 1942 Nanking, fe...ilm Awards for her role as the code-breaker chief in this movie., The Message is a 2009 film directed by Kuo-fu Chen and Qunshu Gao., has type Award-Winning Work
10. Twilight, also known as Twilight, Pennsylvania, Washington County / Twilight borough (fb:m.0_gby): Twilight is a borough in Washington County, Pennsylvania, United States. The population was 241 at the 2000 census., has type City/Town/Village

[Assistant]
The entity "Twilight" as a 2008 American vampire romance film is fb:m.03nm_fh. This matches the movie we are interested in.

Step 3: Now we want to find the property that links the character Jacob Black (fb:m.02qd_td) to the actor who played him in the movie Twilight (fb:m.03nm_fh). Let's search for properties of the entity Jacob Black related to acting or actor.

[Tool]
Top 10 property alternatives:
1. Place of Birth (fb:fictional_universe.fictional_character.place_of_birth): part of Fictional Character schema, links to type Fictional Setting
2. Occupation (fb:fictional_universe.fictional_character.occupation): part of Fictional Character schema, links to type Character Occupation
3. Portrayed in films (fb:film.film_character.portrayed_in_films): links to type Film performance, part of Film character schema
4. Character Created By (fb:fictional_universe.fictional_character.character_created_by): links to type Fictional Character Creator, part of Fictional Character schema
5. Name (fb:type.object.name): part of Object schema, links to type Text
6. Romantically involved with (fb:fictional_universe.fictional_character.romantically_involved_with): links to type Romantic involvement, part of Fictional Character schema
7. Image (fb:common.topic.image): part of Topic schema, links to type Image
8. Key (fb:type.object.key): part of Object schema, links to type Key
9. Character ID (fb:imdb.topic.character_id): links to type Enumeration, part of Topic schema
10. Type (fb:type.object.type): part of Object schema, links to type Type

No other items found

[Assistant]
The property "Portrayed in films" (fb:film.film_character.portrayed_in_films) seems relevant. It links the film character to a film performance entity.

Step 4: Let's explore the film performances of Jacob Black using this property to see if we can find the actor.

[Tool]
Got 5 rows and 3 columns:
| subject                    | property                                                       | object       |
| -------------------------- | -------------------------------------------------------------- | ------------ |
| Jacob Black (fb:m.02qd_td) | Portrayed in films (fb:film.film_character.portrayed_in_films) | fb:m.04z4zmg |
| Jacob Black (fb:m.02qd_td) | Portrayed in films (fb:film.film_character.portrayed_in_films) | fb:m.05tflhw |
| Jacob Black (fb:m.02qd_td) | Portrayed in films (fb:film.film_character.portrayed_in_films) | fb:m.075wxc2 |
| Jacob Black (fb:m.02qd_td) | Portrayed in films (fb:film.film_character.portrayed_in_films) | fb:m.0b68zn5 |
| Jacob Black (fb:m.02qd_td) | Portrayed in films (fb:film.film_character.portrayed_in_films) | fb:m.0djz10s |

[Assistant]
Jacob Black is portrayed in several films (5 film performances). Now we want to find the actor for each of these film performances.

Step 5: Let's check the properties of one of these film performances (e.g., fb:m.04z4zmg) to find the actor property.

[Tool]
Top 10 property alternatives:
1. Actor (fb:film.performance.actor): part of Film performance schema, links to type Film actor
2. Character (fb:film.performance.character): part of Film performance schema, links to type Film character
3. Film (fb:film.performance.film): part of Film performance schema, links to type Film
4. Type (fb:type.object.type): part of Object schema, links to type Type

No other items found

[Assistant]
The property "Actor" (fb:film.performance.actor) links the film performance to the actor.

Step 6: Let's get the actor for each of the film performances of Jacob Black.

[Tool]
Got 39 rows and 2 columns, showing the first 5 and last 5 rows below:
| actor                        | actorName                 |
| ---------------------------- | ------------------------- |
| Taylor Lautner (fb:m.07ldhs) | Taylor Lautner (ca)       |
| Taylor Lautner (fb:m.07ldhs) | Taylor Lautner (cs)       |
| Taylor Lautner (fb:m.07ldhs) | Taylor Lautner (da)       |
| Taylor Lautner (fb:m.07ldhs) | Taylor Lautner (de)       |
| Taylor Lautner (fb:m.07ldhs) | Taylor Lautner (en)       |
| ...                          | ...                       |
| Taylor Lautner (fb:m.07ldhs) | เทย์เลอร์ เลาต์เนอร์ (th) |
| Taylor Lautner (fb:m.07ldhs) | 테일러 로트너 (ko)              |
| Taylor Lautner (fb:m.07ldhs) | テイラー・ロートナー (ja)           |
| Taylor Lautner (fb:m.07ldhs) | 泰勒·洛特 (zh-Hant)           |
| Taylor Lautner (fb:m.07ldhs) | 泰勒·洛特纳 (zh)               |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the actor who played Jacob Black in Twilight by linking the character to film performances and then to the actor. The query returns the actor's identifier and multiple labels in different languages, which is acceptable since labels are optional and in an OPTIONAL clause. The answer given, Taylor Lautner, is correct and matches the query results. The query is complete and follows the rules, so no further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?religion ?religionLabel WHERE {
  fb:m.09c7w0 fb:location.statistical_region.religions ?religionPercentage .
  ?religionPercentage fb:location.religion_percentage.religion ?religion .
  OPTIONAL {
    ?religion rdfs:label ?religionLabel .
    FILTER ( lang( ?religionLabel ) = 'en' )
  }
}

Got 7 rows and 2 columns:
| religion                            | religionLabel               |
| ----------------------------------- | --------------------------- |
| Christianity (fb:m.01lp8)           | Christianity (en)           |
| Judaism (fb:m.03_gx)                | Judaism (en)                |
| Hinduism (fb:m.03j6c)               | Hinduism (en)               |
| Unitarian Universalism (fb:m.07w8f) | Unitarian Universalism (en) |
| Buddhism (fb:m.092bf5)              | Buddhism (en)               |
| Islam (fb:m.0flw86)                 | Islam (en)                  |
| Atheism (fb:m.0kpl)                 | Atheism (en)                |

The types of religions in the United States include Judaism, Christianity, Buddhism, Islam, Unitarian Universalism, Hinduism, and Atheism.

[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 type of religions are in the united states?

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

[Tool]
Example 1:
Question:
where is the olympic national park located?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.015nrn ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.015nrn fb:location.location.containedby ?x .
}

Using entities:
Olympic National Park (fb:m.015nrn): Olympic National Park is a United States national park located i...ess designated 95 percent of the park as the Olympic Wilderness., has type Protected Site

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

Example 2:
Question:
what are buddhist gods?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.092bf5 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.092bf5 fb:religion.religion.deities ?x .
}

Using entities:
Buddhism, also known as Buddhist (fb:m.092bf5): Buddhism /ˈbudɪzəm/ is a nontheistic religion or philosophy that...s, may be viewed as a third branch or merely a part of Mahayana., has type Religion

Using properties:
Deity Or Deities (fb:religion.religion.deities): part of Religion schema, links to type Deity

Example 3:
Question:
where did timothy mcveigh go to prison?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07rp8 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07rp8 fb:base.prison.prisoner.imprisoned ?y .
  ?y fb:base.prison.imprisonment.prison ?x .
}

Using entities:
Timothy McVeigh, also known as Tim Tuttle, Timothy James "Tim" McVeigh, Timothy James McVeigh, The Wanderer, Darel Bridges (fb:m.07rp8): Timothy James McVeigh was an American terrorist who detonated a ... the United States spend many years there before being executed., has type Military Person

Using properties:
Prison (fb:base.prison.imprisonment.prison): part of Imprisonment schema, links to type Prison
Imprisoned (fb:base.prison.prisoner.imprisoned): links to type Imprisonment, part of Prisoner schema

[Assistant] The question is about the types of religions in the United States. To answer this, I need to identify the entity for the United States and then find the religions associated with it. I will start by searching for the entity "United States" in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. United States of America, also known as U.S. of A., USA, U.S.A., US, U.S. (fb:m.09c7w0): The United States of America, commonly referred to as the United...s emerged from 13 British colonies located along the East Coast., has type Country
2. Federal government of the United States, also known as American Government, US Government, U.S. government, US Federal government, United States government (fb:m.01bqks): The government of the United States of America is the federal go...ften used, and the term "National Government" is sometimes used., has type Organization founder
3. United States (fb:m.0dvxqk): United States is a half-hour comedy-drama that NBC added to its ... Bob can go out and get yourselves one redhead with two straws.", has type TV Program
4. United States (fb:m.0dmmqxb): has type Musical Recording
5. United States (fb:m.0829w2d): has type Book Edition
6. United States... (fb:m.03987_d): has type Musical Release
7. United States (fb:m.0qhhg_4): has type Consumer product
8. United States (fb:m.05q8l00): United States is the first full length hard rock collaborative a...oration has been described as a cross between Queen and Mr. Big., has type Musical Album
9. United States (fb:m.0qhgg6l): has type Consumer product
10. United States (fb:m.011kfnhv): has type Musical Release

[Assistant] The entity for the United States of America is fb:m.09c7w0. Now, I will search for properties related to religion for this entity to find the types of religions in the United States.

[Tool]
Top 10 property alternatives:
1. Religions (fb:location.statistical_region.religions): links to type Religion percentage, part of Statistical region schema
2. Universe (fb:fictional_universe.fictional_setting.universe): links to type Fictional Universe, part of Fictional Setting schema
3. Flag (fb:symbols.flag_referent.flag): part of Flag referent schema, links to type Flag use
4. Subjects (fb:common.topic.subjects): part of Topic schema, links to type Topic
5. Government (fb:government.governmental_jurisdiction.government): part of Governmental Jurisdiction schema, links to type Government
6. Population (fb:location.statistical_region.population): part of Statistical region schema, links to type Dated Integer
7. Languages spoken (fb:location.country.languages_spoken): links to type Human Language, part of Country schema
8. Charities (fb:base.charities.geographic_scope.charities): part of Geographic scope schema, links to type Charity
9. Key (fb:type.object.key): part of Object schema, links to type Key
10. Parent (fb:organization.organization.parent): links to type Organization Relationship, part of Organization schema

No other items found

[Assistant] The property "Religions" (fb:location.statistical_region.religions) is related to religion for the United States entity. This property links to types of religions in the statistical region. I will now query the types of religions in the United States using this property.

[Tool]
Got 8 rows and 2 columns:
| religion     | religionLabel |
| ------------ | ------------- |
| fb:m.03q1lvh |               |
| fb:m.03q1lvq |               |
| fb:m.03q1lvy |               |
| fb:m.03q1lw4 |               |
| fb:m.03q1lwc |               |
| fb:m.03q1lwl |               |
| fb:m.03q1lwt |               |
| fb:m.0_hhjkj |               |

[Assistant] The query returned 8 types of religions in the United States, but they do not have English labels. I will now query the names or types of these religions to provide a more understandable answer. I will query the labels for these religion entities.

[Tool] Got no rows and 2 columns

[Assistant] The religion entities do not have English labels directly. I will try to find the type or more information about these religion entities by querying their types or descriptions. I will query the types of these religion entities.

[Tool]
Got 8 rows and 3 columns:
| religion     | type                                                  | typeLabel                |
| ------------ | ----------------------------------------------------- | ------------------------ |
| fb:m.03q1lvh | Religion percentage (fb:location.religion_percentage) | Religion percentage (en) |
| fb:m.03q1lvq | Religion percentage (fb:location.religion_percentage) | Religion percentage (en) |
| fb:m.03q1lvy | Religion percentage (fb:location.religion_percentage) | Religion percentage (en) |
| fb:m.03q1lw4 | Religion percentage (fb:location.religion_percentage) | Religion percentage (en) |
| fb:m.03q1lwc | Religion percentage (fb:location.religion_percentage) | Religion percentage (en) |
| fb:m.03q1lwl | Religion percentage (fb:location.religion_percentage) | Religion percentage (en) |
| fb:m.03q1lwt | Religion percentage (fb:location.religion_percentage) | Religion percentage (en) |
| fb:m.0_hhjkj | Religion percentage (fb:location.religion_percentage) | Religion percentage (en) |

[Assistant] The entities are of type "Religion percentage," which likely represent statistical data about religions rather than the religion types themselves. I will now try to find the religion types associated with these religion percentage entities by querying their religion property.

[Tool]
Got 8 rows and 3 columns:
| religionPercentage | religion                            | religionLabel               |
| ------------------ | ----------------------------------- | --------------------------- |
| fb:m.03q1lvh       | Judaism (fb:m.03_gx)                | Judaism (en)                |
| fb:m.03q1lvq       | Christianity (fb:m.01lp8)           | Christianity (en)           |
| fb:m.03q1lvy       | Buddhism (fb:m.092bf5)              | Buddhism (en)               |
| fb:m.03q1lw4       | Islam (fb:m.0flw86)                 | Islam (en)                  |
| fb:m.03q1lwc       | Unitarian Universalism (fb:m.07w8f) | Unitarian Universalism (en) |
| fb:m.03q1lwl       | Hinduism (fb:m.03j6c)               | Hinduism (en)               |
| fb:m.03q1lwt       | Atheism (fb:m.0kpl)                 | Atheism (en)                |
| fb:m.0_hhjkj       | Atheism (fb:m.0kpl)                 | Atheism (en)                |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves distinct religions associated with the United States using appropriate properties from the Freebase knowledge graph. The answer lists the types of religions found in the United States as per the query results, which include Judaism, Christianity, Buddhism, Islam, Unitarian Universalism, Hinduism, and Atheism. The query respects the requirement to return identifiers and optionally labels, and the answer is clear and complete. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?profession ?professionName WHERE {
  fb:m.0w6w fb:people.person.profession ?profession .
  OPTIONAL {
    ?profession rdfs:label ?professionName .
    FILTER ( lang( ?professionName ) = 'en' )
  }
}

Got 3 rows and 2 columns:
| profession                 | professionName   |
| -------------------------- | ---------------- |
| Philosopher (fb:m.02h6fbs) | Philosopher (en) |
| Physician (fb:m.05t4q)     | Physician (en)   |
| Writer (fb:m.0cbd2)        | Writer (en)      |

St Augustine (Augustine of Hippo) was a Philosopher, Physician, and Writer.

[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 st augustine do?

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

[Tool]
Example 1:
Question:
what is the zip code for minneapolis?

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

Using entities:
Minneapolis, also known as Hennepin County / Minneapolis city, Minneapolis, Minnesota (fb:m.0fpzwf): Minneapolis is the county seat of Hennepin County, and larger of...the global economy, Minneapolis is categorized as a global city., has type City/Town/Village

Using properties:
Postal codes (fb:location.citytown.postal_codes): part of City/Town/Village schema, links to type Postal Code

Example 2:
Question:
who the voice of jack skellington?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.042zz0 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.042zz0 fb:film.film_character.portrayed_in_films ?y .
  ?y fb:film.performance.actor ?x .
  ?y fb:film.performance.special_performance_type fb:m.02nsjvf .
}

Using entities:
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
Jack Skellington (fb:m.042zz0): Jack Skellington is a fictional character and the protagonist of... clothing, umbrellas, belt buckles, pet collars and other items., 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
Special Performance Type (fb:film.performance.special_performance_type): links to type Special film performance type, part of Film performance schema

Example 3:
Question:
where was selena gomez really born?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0gs6vr ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0gs6vr fb:people.person.place_of_birth ?x .
}

Using entities:
Selena Gomez, also known as Selly, Selenita, Selena Marie Gomez, Sel, Conchita (fb:m.0gs6vr): Selena Marie Gomez is an American actress, singer and fashion de...rds following the completion of her greatest hits album For You., has type Celebrity

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

[Assistant]
The examples show how to find information about what a person did by looking for properties related to their occupation, roles, or activities.

Step 1: I will search for the entity "St Augustine" in the knowledge graph to get the correct identifier for him.

[Tool]
Top 10 entity alternatives:
1. Augustine of Hippo, also known as St. Austin, St. Augustine the Blessed, St. Augustine, St. Augustin, St. Augoustinos (fb:m.0w6w): Augustine of Hippo, also known as Saint Augustine or Saint Austi... spiritual City of God, distinct from the material Earthly City., has type Religious Leader
2. St. Augustine, also known as St. Johns County / St. Augustine city, St. Augustine, Florida, St. Augustine, FL, Saint Augustine, Florida, Saint Augustine (fb:m.0rs6x): St. Augustine is a city in northeast Florida and the oldest cont...storical character has made the city a major tourist attraction., has type City/Town/Village
3. Augustine of Canterbury, also known as St Augustine (fb:m.011xr): Augustine of Canterbury was a Benedictine monk who became the fi...cluding thousands during a mass baptism on Christmas Day in 597., has type Religious Leader
4. St. Augustine, also known as Saint Augustine, St. Augustine, Illinois, Saint Augustine, Illinois, Knox County / St. Augustine village (fb:m.0s9jk): St. Augustine is a village in Knox County, Illinois, United Stat...nsus. It is part of the Galesburg Micropolitan Statistical Area., has type City/Town/Village
5. Saint Augustine, also known as Saint Augustine, Trinidad and Tobago, St. Augustine, St. Augustine, Trinidad (fb:m.05jjd8): St. Augustine is a town in the north-west of Trinidad and Tobago., has type City/Town/Village
6. St Augustine, also known as François-Régis Croisier, St. Augustine (fb:m.0xlkgmn): St. Augustine is a musical artist., has type Musical Artist
7. St. Augustine, also known as Saint Augustine, St. Agustine School (fb:m.05bj854): St. Agustine is a catholic school in Ottawa, Ontario., has type School
8. St Augustine (fb:m.093c6j0): has type Book Edition
9. St. Augustine, also known as Saint Augustine (fb:m.018j40v): has type Musical Recording
10. St. Augustine, also known as Saint Augustine (fb:m.0rhf1r): has type Musical Recording

[Assistant]
The entity "St Augustine" most likely refers to "Augustine of Hippo" (fb:m.0w6w), who is a religious leader and commonly known as St. Augustine.

Step 2: I will now search for properties related to what Augustine of Hippo did, such as occupation, roles, or activities. I will search for properties of this entity with a query like "do" or "occupation".

[Tool]
Top 10 property alternatives:
1. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
2. Name (fb:type.object.name): part of Object schema, links to type Text
3. Profession (fb:people.person.profession): links to type Profession, part of Person schema
4. Type (fb:type.object.type): part of Object schema, links to type Type
5. Date of death (fb:people.deceased_person.date_of_death): part of Deceased Person schema, links to type Date/Time
6. Key (fb:type.object.key): part of Object schema, links to type Key
7. Religion (fb:people.person.religion): links to type Religion, part of Person schema
8. Things named after this (fb:symbols.name_source.namesakes): part of Name source schema, links to type Namesake
9. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
10. Parents (fb:people.person.parents): part of Person schema, links to type Person

No other items found

[Assistant]
The property "Profession" (fb:people.person.profession) seems to be the most relevant to what St Augustine did.

Step 3: I will query the profession(s) of Augustine of Hippo using this property.

[Tool]
Got 3 rows and 2 columns:
| profession                 | professionName   |
| -------------------------- | ---------------- |
| Philosopher (fb:m.02h6fbs) | Philosopher (en) |
| Physician (fb:m.05t4q)     | Physician (en)   |
| Writer (fb:m.0cbd2)        | Writer (en)      |

[Assistant]
St Augustine (Augustine of Hippo) was a Philosopher, Physician, and Writer.

Step 4: To provide a more comprehensive answer, I will also check if there are other relevant properties that describe what he did, such as roles or notable works. I will search for properties of Augustine of Hippo with a query like "role" or "work".

[Tool]
Top 10 property alternatives:
1. Profession (fb:people.person.profession): links to type Profession, part of Person schema
2. Gender (fb:people.person.gender): part of Person schema, links to type Gender
3. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
4. Key (fb:type.object.key): part of Object schema, links to type Key
5. Type (fb:type.object.type): part of Object schema, links to type Type
6. Name (fb:type.object.name): part of Object schema, links to type Text
7. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
8. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
9. Image (fb:common.topic.image): part of Topic schema, links to type Image
10. Official name (fb:base.schemastaging.context_name.official_name): part of Context name schema, links to type Text

No other items found

[Assistant]
No additional relevant properties related to roles or works were found for Augustine of Hippo.

Step 5: I will now finalize the answer with the professions found: Philosopher, Physician, and Writer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the professions of St Augustine from the Freebase knowledge graph, which directly answers the question about what St Augustine did. The answer is concise and accurate, listing him as a Philosopher, Physician, and Writer. The query also optionally retrieves English labels for better readability. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?team ?teamLabel WHERE {
  fb:m.0443c fb:sports.pro_athlete.teams ?teamRoster .
  ?teamRoster fb:sports.sports_team_roster.team ?team .
  ?team fb:type.object.type fb:baseball.baseball_team .
  OPTIONAL {
    ?team rdfs:label ?teamLabel FILTER ( lang( ?teamLabel ) = 'en' )
  }
}

Got 3 rows and 2 columns:
| team                               | teamLabel                 |
| ---------------------------------- | ------------------------- |
| Kansas City Monarchs (fb:m.02_cjl) | Kansas City Monarchs (en) |
| Montreal Royals (fb:m.03_wkh)      | Montreal Royals (en)      |
| Brooklyn Dodgers (fb:m.05fc8c9)    | Brooklyn Dodgers (en)     |

Jackie Robinson played for the following baseball teams: Kansas City Monarchs, Montreal Royals, and Brooklyn Dodgers.

[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 did jackie robinson?

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

[Tool]
Example 1:
Question:
what do do in nashville tn?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.05jbn ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.05jbn fb:travel.travel_destination.tourist_attractions ?x .
}

Using entities:
Nashville, also known as Nashville, Tennessee, Nashville, TN (fb:m.05jbn): Nashville is the capital of the U.S. state of Tennessee and the ...the semi-independent municipalities, the population was 634,464., 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 2:
Question:
who plays lola bunny on the looney tunes show?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0534r8 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0534r8 fb:tv.tv_character.appeared_in_tv_program ?y .
  ?y fb:tv.regular_tv_appearance.actor ?x .
  ?y fb:tv.regular_tv_appearance.series fb:m.03q4kg .
}

Using entities:
Baby Looney Tunes (fb:m.03q4kg): Baby Looney Tunes is a Canadian animated television series showi...Muppet Babies, with the main characters taken care of by Granny., has type TV Program
Lola Bunny (fb:m.0534r8): Lola Bunny is a Looney Tunes cartoon character portrayed as an a...t" to Bugs Bunny. She first appeared in the 1996 film Space Jam., has type Fictional Character

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

Example 3:
Question:
what money currency does canada use?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0d060g ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0d060g fb:location.country.currency_used ?x .
}

Using entities:
Canada, also known as Canuckistan, Dominion of Canada (fb:m.0d060g): Canada is a country, consisting of ten provinces and three terri...of provinces and territories to the new self-governing Dominion., has type Country

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

[Assistant] The examples did not directly relate to sports teams or athletes, so I will now search for the entity "Jackie Robinson" in the Freebase knowledge graph to find the correct entity identifier. Then I will look for properties related to the team he played for.

[Tool]
Top 10 entity alternatives:
1. Jackie Robinson, also known as Jackie, Jack Roosevelt Robinson (fb:m.0443c): Jack Roosevelt "Jackie" Robinson was an American Major League Ba...", on which every player on every team wears No. 42 on April 15., has type Baseball Player
2. Jackie Robinson, also known as Robinson, Jackie (fb:m.07kjnz9): Jackie Robinson is a Jamaican singer, best known as the lead voc...al both under his own name, and under the pseudonym Harry Hippy., has type Composer
3. Jackie Robinson, also known as Robert Robinson (fb:m.02rh129): Robert Jackson "Jackie" Robinson is a retired American Baptist p...erly presented to the King, the Queen and the then Queen Mother., has type Basketball Player
4. Jackie Robinson (fb:m.02rh1ks): Jackie Robinson is an American former professional basketball pl...inson is still negotiating development issues with Clark County., has type Basketball Player
5. Jackie Robinson (fb:m.02z5qg5): John Allan "Jackie" Robinson was an English footballer player an..., although these matches are not recognised in official records., has type Football player
6. Jackie Robinson (fb:m.0h10lqg): has type Film
7. Jackie Robinson (fb:m.0rg6r4n): has type Musical Recording
8. Jackie Robinson: A Life of Determination, also known as Jackie Robinson (fb:m.06cz6bc): has type Book
9. Jackie Robinson (fb:m.0y9ykt6): has type Musical Recording
10. Jackie Robinson (fb:m.0x9byy8): has type Musical Recording

[Assistant] The most relevant entity for Jackie Robinson, the baseball player, is fb:m.0443c. Next, I will search for properties of this entity that might relate to the team he played for. I will search for properties related to "team" or "team played for."

[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. Awards (fb:sports.sports_award_winner.awards): part of Sports League Award Winner schema, links to type Sports League Award
4. Position(s) (fb:baseball.baseball_player.position_s): links to type Baseball Position, part of Baseball Player schema
5. Position(s) (fb:american_football.football_player.position_s): part of American football player schema, links to type Sports position
6. Key (fb:type.object.key): part of Object schema, links to type Key
7. Official website (fb:common.topic.official_website): part of Topic schema, links to type URI
8. Article (fb:common.topic.article): links to type Document, part of Topic schema
9. Achievements (fb:base.firsts.first.achievements): links to type First Achievement, part of First schema
10. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country

No other items found

[Assistant] The property "Teams" (fb:sports.pro_athlete.teams) seems to be the most relevant to find the team Jackie Robinson played for. I will now write a SPARQL query to get the team(s) associated with Jackie Robinson (fb:m.0443c) using this property.

[Tool]
Got 5 rows and 2 columns:
| team                                | teamLabel                 |
| ----------------------------------- | ------------------------- |
| Kansas City Monarchs (fb:m.02_cjl)  | Kansas City Monarchs (en) |
| Montreal Royals (fb:m.03_wkh)       | Montreal Royals (en)      |
| Los Angeles Bulldogs (fb:m.0413z4v) | Los Angeles Bulldogs (en) |
| Brooklyn Dodgers (fb:m.05fc8c9)     | Brooklyn Dodgers (en)     |
| UCLA Bruins football (fb:m.0fbtm7)  | UCLA Bruins football (en) |

[Assistant] Jackie Robinson played for the following teams: Kansas City Monarchs, Montreal Royals, Los Angeles Bulldogs, Brooklyn Dodgers, and UCLA Bruins football. I will now provide the final answer with these teams.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The answer correctly lists the teams Jackie Robinson played for according to the query results. However, the inclusion of 'UCLA Bruins football' seems incorrect as Jackie Robinson is known for baseball, not football. The query retrieves all teams linked to Jackie Robinson via sports team rosters, but it does not filter by sport. To improve accuracy, the query should be refined to include only baseball teams or teams related to Jackie Robinson's baseball career. This will avoid irrelevant teams like the UCLA Bruins football team appearing in the results.

[Assistant] Thank you for the feedback. To improve the accuracy of the answer, I will refine the query to include only baseball teams associated with Jackie Robinson. I will check if there is a way to filter the teams by sport type or category related to baseball. I will first check the types or categories of the teams returned to see if there is a property indicating the sport they belong to.

[Tool]
Got 115 rows and 3 columns, showing the first 10 rows below:
| subject                         | property                                                            | object                                                                   |
| ------------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Brooklyn Dodgers (fb:m.05fc8c9) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Brooklyn Dodgers (fb:m.05fc8c9) | Key (fb:type.object.key)                                            | /dataworld/freeq/job_e1d655c2-81..._History_of_the_Brooklyn_Dodgers      |
| Brooklyn Dodgers (fb:m.05fc8c9) | Name (fb:type.object.name)                                          | Brooklyn Dodgers (de)                                                    |
| Brooklyn Dodgers (fb:m.05fc8c9) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://de.wikipedia.org/wiki/Brooklyn_Dodgers_(Baseball)>               |
| Brooklyn Dodgers (fb:m.05fc8c9) | Notable for (fb:common.topic.notable_for)                           | fb:g.1258jn5_d                                                           |
| Brooklyn Dodgers (fb:m.05fc8c9) | Notable types (fb:common.topic.notable_types)                       | Professional Sports Team (fb:m.044801x)                                  |
| Brooklyn Dodgers (fb:m.05fc8c9) | Description (fb:common.topic.description)                           | Die Brooklyn Dodgers waren ein U...r dem Namen Los Angeles Dodgers. (de) |
| Brooklyn Dodgers (fb:m.05fc8c9) | Article (fb:common.topic.article)                                   | fb:m.05fc8cf                                                             |
| Brooklyn Dodgers (fb:m.05fc8c9) | Image (fb:common.topic.image)                                       | LA 1133 (fb:m.05krk3w)                                                   |
| Brooklyn Dodgers (fb:m.05fc8c9) | Roster (fb:sports.sports_team.roster)                               | fb:m.0gggrzr                                                             |
| ...                             | ...                                                                 | ...                                                                      |

[Assistant] The Brooklyn Dodgers have a notable type "Professional Sports Team" (fb:m.044801x). I will check if this type or other types can be used to filter for baseball teams specifically. I will look for types related to baseball teams.

[Tool]
Top 10 entity alternatives:
1. Baseball Team (fb:baseball.baseball_team)
2. Baseball Team (fb:m.0256985): A baseball team is a group of people, including players, coaches...o compete together against other teams in the sport of baseball.
3. Baseball Team (fb:m.0514phs)
4. Baseball Team (fb:m.0514pn6)
5. Baseball team (fb:m.0gy7fcw): A group of persons gathered together as a team that play the sport called Baseball.
6. Baseball Team (fb:m.04nspb3)
7. Baseball Team (fb:m.04_49_h): baseball team
8. Baseball Team (fb:m.04yr5sz): The team that the person is coaching.
9. Baseball Team (fb:baseball.current_coaching_tenure.baseball_team)
10. Baseball Team (fb:baseball.historical_coaching_tenure.baseball_team)

[Assistant] There is an entity type "Baseball Team" (fb:baseball.baseball_team) which seems to represent baseball teams. I will now check the types of the teams Jackie Robinson played for to see which ones are of type "Baseball Team" and filter the query accordingly.

[Tool]
Got 36 rows and 3 columns, showing the first 5 and last 5 rows below:
| team                               | teamLabel                 | teamType                                          |
| ---------------------------------- | ------------------------- | ------------------------------------------------- |
| Kansas City Monarchs (fb:m.02_cjl) | Kansas City Monarchs (en) | Baseball Team (fb:baseball.baseball_team)         |
| Kansas City Monarchs (fb:m.02_cjl) | Kansas City Monarchs (en) | Abstract (fb:base.type_ontology.abstract)         |
| Kansas City Monarchs (fb:m.02_cjl) | Kansas City Monarchs (en) | Agent (fb:base.type_ontology.agent)               |
| Kansas City Monarchs (fb:m.02_cjl) | Kansas City Monarchs (en) | Inanimate (fb:base.type_ontology.inanimate)       |
| Kansas City Monarchs (fb:m.02_cjl) | Kansas City Monarchs (en) | Topic (fb:common.topic)                           |
| ...                                | ...                       | ...                                               |
| UCLA Bruins football (fb:m.0fbtm7) | UCLA Bruins football (en) | Agent (fb:base.type_ontology.agent)               |
| UCLA Bruins football (fb:m.0fbtm7) | UCLA Bruins football (en) | Inanimate (fb:base.type_ontology.inanimate)       |
| UCLA Bruins football (fb:m.0fbtm7) | UCLA Bruins football (en) | Topic (fb:common.topic)                           |
| UCLA Bruins football (fb:m.0fbtm7) | UCLA Bruins football (en) | School sports team (fb:sports.school_sports_team) |
| UCLA Bruins football (fb:m.0fbtm7) | UCLA Bruins football (en) | Sports Team (fb:sports.sports_team)               |

[Assistant] The teams Kansas City Monarchs, Montreal Royals, Los Angeles Bulldogs, and Brooklyn Dodgers have the type "Baseball Team" (fb:baseball.baseball_team). The UCLA Bruins football team does not have this type and instead is a "School sports team" and "Sports Team." I will refine the query to only include teams of type "Baseball Team" to exclude non-baseball teams.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly retrieves the baseball teams Jackie Robinson played for, returning their identifiers and English labels. However, the answer text includes the 'Los Angeles Bulldogs,' which is not present in the query result or the knowledge graph data. The answer should be corrected to only include the teams actually returned by the query: Kansas City Monarchs, Montreal Royals, and Brooklyn Dodgers. Additionally, the query and answer could clarify that these are baseball teams Jackie Robinson played for, to improve completeness and clarity.

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?state ?stateLabel WHERE {
  fb:m.02mjmr fb:people.person.place_of_birth ?place .
  ?place fb:base.biblioness.bibs_location.state ?state .
  OPTIONAL {
    ?state rdfs:label ?stateLabel .
    FILTER ( lang( ?stateLabel ) = 'en' )
  }
}

Barack Obama is from the state of Hawaii.

[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 state is barack obama from?

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

[Tool]
Example 1:
Question:
where was john f kennedy raised?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0d3k14 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0d3k14 fb:people.person.place_of_birth ?x .
}

Using entities:
John F. Kennedy, also known as President John F. Kennedy  , John F. (John Fitzgerald) Kennedy, John Kennedy, Johnny, President John F Kennedy (fb:m.0d3k14): John Fitzgerald Kennedy (May 29, 1917 – November 22, 1963), also...ican hopes and aspirations to every new generation of Americans., John Fitzgerald Kennedy, commonly known as Jack Kennedy or by hi...the first person born in the 20th century to serve as president., has type US President

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

Example 2:
Question:
what jamaican language called?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03_r3 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03_r3 fb:location.country.official_language ?x .
}

Using entities:
Jamaica (fb:m.03_r3): Jamaica is an island country situated in the Caribbean Sea, comp...d Canada, and the fourth most populous country in the Caribbean., has type Country

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

Example 3:
Question:
what money do they use in chile?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01p1v ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01p1v fb:location.country.currency_used ?x .
}

Using entities:
Chile, also known as Republic of Chile (fb:m.01p1v): Chile, officially the Republic of Chile, is a South American cou...nth of fjords, inlets, canals, twisting peninsulas, and islands., has type Country

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

[Assistant]
The examples show how to find places related to a person using the property "place_of_birth" (fb:people.person.place_of_birth). To answer the question "what state is Barack Obama from?", we can try to find Barack Obama's place of birth or the state associated with him.

Step 1: Search for the entity "Barack Obama" in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Barack Obama, also known as President Obama, President Barack Obama, President Barack Hussein Obama II, President Barack H. Obama, Obama (fb:m.02mjmr): Barack Hussein Obama II is the 44th and current President of the...mocratic Party primaries to receive the presidential nomination., Barack Hussein Obama II (/bəˈrɑːk huːˈseɪn oʊˈbɑːmə/; born Augus...ting the 13th District in the Illinois Senate from 1997 to 2004., has type US President
2. Barack Obama in comics, also known as Barack Obama (fb:m.05f34xs): Barack Obama has appeared as a character in comic books published by a number of publishing companies., has type Film character
3. Barack Obama Extends Historical ... "Astride the Promise of Change", also known as Barack Obama (fb:m.0bjbmz1): In this two-part essay article, the National African-American Ar...a commentary on the Obama administration and political platform., has type Short Non-fiction
4. President Barack Obama, also known as President Barack Obama (2), Barack Obama (fb:m.0g00r7y): has type TV Episode
5. Obama, also known as President Barack Obama, President Snowbama, President Brock O'Bama, President Obama, Silhouette Barack Obama (fb:m.010h7d2f): Obama is a fictional character from the 2014 film Sequestered., has type Film character
6. Barack Obama: Son of Promise, Child of Hope, also known as Barack Obama (fb:m.04x6ghg): Barack Obama: Son of Promise, Child of Hope is a book written by Nikki Grimes., has type Book
7. Barack Obama, also known as President Barack Obama (fb:m.09ryzqt): Barack Obama is a fictional character in the 2010 romance film My Name is Khan., Barack Obama is a fictional character from the 2010 film My Name is Khan., Barack Obama is a fictional representation of Barack Obama., has type Film character
8. Barack Obama (fb:m.07kc1ts): has type TV Episode
9. Barack Obama (fb:m.06y_m1l): has type TV Episode
10. Barack Obama (fb:m.0fy686w): has type Musical Recording

[Assistant] The entity for Barack Obama is fb:m.02mjmr. Next, we need to find the property that indicates the state he is from. Based on the examples, "place_of_birth" (fb:people.person.place_of_birth) is a good candidate. Let's check the place of birth for Barack Obama.

[Tool]
Got 1 row and 2 columns:
| place                   | placeLabel    |
| ----------------------- | ------------- |
| Honolulu (fb:m.02hrh0_) | Honolulu (en) |

[Assistant] Barack Obama's place of birth is Honolulu. Now, we want to find the state that Honolulu is in. Let's find the state or administrative division that contains Honolulu.

[Tool] Got no rows and 2 columns

[Assistant] There are no administrative divisions listed for Honolulu under the property fb:location.location.administrative_divisions. Let's try to find other properties related to location or state for Honolulu. I will search for properties of the entity Honolulu with a query related to state or administrative division.

[Tool]
Top 10 property alternatives:
1. State (fb:base.biblioness.bibs_location.state): part of Bibs Location schema, links to type Location
2. Country (fb:base.biblioness.bibs_location.country): part of Bibs Location schema, links to type Location
3. County (fb:location.hud_county_place.county): part of HUD County Place schema, links to type US County
4. City (fb:base.biblioness.bibs_location.city): part of Bibs Location schema, links to type Location
5. Place (fb:location.hud_county_place.place): part of HUD County Place schema, links to type Location
6. Key (fb:type.object.key): part of Object schema, links to type Key
7. Capital of (fb:location.capital_of_administrative_division.capital_of): links to type Administrative division/capital relationship, part of Capital of administrative division schema
8. Population (fb:location.statistical_region.population): part of Statistical region schema, links to type Dated Integer
9. Official website (fb:common.topic.official_website): part of Topic schema, links to type URI
10. Type (fb:base.biblioness.bibs_location.loc_type): part of Bibs Location schema, links to type Text

No other items found

[Assistant] There is a property "State" (fb:base.biblioness.bibs_location.state) for the entity Honolulu. Let's use this property to find the state that Honolulu belongs to.

[Tool]
Got 1 row and 2 columns:
| state               | stateLabel  |
| ------------------- | ----------- |
| Hawaii (fb:m.03gh4) | Hawaii (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the state associated with Barack Obama's place of birth, which is Hawaii. The query uses the appropriate properties and entities, and the result matches the known fact that Barack Obama is from Hawaii. The answer is clear and complete, and the query returns both the identifier and the English label of the state as per best practices. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?language ?languageLabel WHERE {
  fb:m.02lx0 fb:location.country.languages_spoken ?language .
  OPTIONAL {
    ?language rdfs:label ?languageLabel FILTER ( lang( ?languageLabel ) = 'en' )
  }
}

Got 20 rows and 2 columns, showing the first 5 and last 5 rows below:
| language                        | languageLabel         |
| ------------------------------- | --------------------- |
| Bunak Language (fb:m.025t0jp)   | Bunak Language (en)   |
| English Language (fb:m.02h40lc) | English Language (en) |
| Habu Language (fb:m.02hwsld)    | Habu Language (en)    |
| Kemak Language (fb:m.02hwtzw)   | Kemak Language (en)   |
| Makuv'a Language (fb:m.02hwv54) | Makuv'a Language (en) |
| ...                             | ...                   |
| Idalaka (fb:m.0k97dfx)          | Idalaka (en)          |
| Bekais (fb:m.0kc98sf)           | Bekais (en)           |
| Dawan (fb:m.0kc98sk)            | Dawan (en)            |
| Wetarese (fb:m.0kc98sn)         | Wetarese (en)         |
| Tetun-Terik (fb:m.0kc98sr)      | Tetun-Terik (en)      |

East Timor (Timor-Leste) speaks multiple languages including Bunak, English, Habu, Kemak, Makuv'a, Idalaka, Bekais, Dawan, Wetarese, Tetun-Terik, and others. The official languages of East Timor are Portuguese and Tetun.

[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 does east timor speak?

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

[Tool]
Example 1:
Question:
where did the florida marlins?

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

Using entities:
Miami Marlins, also known as Florida Marlins (fb:m.02__x): The Miami Marlins are a professional baseball team based in Miam... 2011. They also adopted a new logo, color scheme, and uniforms., has type Professional Sports Team

Using properties:
Sports Team Location (fb:sports.sports_team.location): links to type Sports Team Location, part of Sports Team schema

Example 2:
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 3:
Question:
what are some of the awards taylor swift has won?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0dl567 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0dl567 fb:award.award_winner.awards_won ?y .
  ?y fb:award.award_honor.award ?x .
}

Using entities:
Taylor Swift, also known as Swifty, Tay, Taylor Alison Swift, T-Swizzle (fb:m.0dl567): Taylor Alison Swift is an American singer-songwriter and actress...n one million copies within the first week of their U.S release., has type Celebrity

Using properties:
Award category (fb:award.award_honor.award): links to type Award category, part of Award Honor schema
Awards Won (fb:award.award_winner.awards_won): part of Award Winner schema, links to type Award Honor

[Assistant]
The question is about the language spoken in East Timor. We need to find the entity for East Timor and then find the property related to the language spoken there.

Step 1: Search for the entity "East Timor" in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Timor-Leste, also known as East Timor, Timor Timur (fb:m.02lx0): East Timor or Timor-Leste, officially the Democratic Republic of... Southeast Asian Nations by applying become its eleventh member., has type Country
2. East Timor (fb:m.0w522v): has type Musical Recording
3. East Timor (fb:m.0z49h2m): has type Musical Recording
4. East Timor (fb:m.079g2nl): East Timor's Sacred Heart and Seven Seven gangs have brought the...ers as they witness this youthful nation's descent into anarchy., has type TV Episode
5. East Timor (fb:m.0npl45): has type Musical Recording
6. East Timor (fb:m.0y987xb): has type Musical Recording
7. East Timor (fb:m.010s8msb): has type Musical Recording
8. East Timor (fb:m.0ggz58y): has type TV Episode
9. East Timor (fb:m.0sk1lxk): has type Musical Recording
10. East Timor (fb:m.0dwfvz3): has type Musical Recording

[Assistant] The entity "Timor-Leste" (fb:m.02lx0) corresponds to East Timor and is of type Country. Next, I will search for properties related to language for this entity.

[Tool]
Top 10 property alternatives:
1. Languages spoken (fb:location.country.languages_spoken): links to type Human Language, part of Country schema
2. Official Language (fb:location.country.official_language): links to type Human Language, part of Country schema
3. Type (fb:type.object.type): part of Object schema, links to type Type
4. Pronunciation (fb:base.schemastaging.context_name.pronunciation): links to type Pronunciation, part of Context name schema
5. Adjectival form (fb:location.location.adjectival_form): part of Location schema, links to type Text
6. Adjectival form (fb:freebase.linguistic_hint.adjectival_form): part of Linguistic hint schema, links to type Text
7. Adjectival form (fb:base.aareas.schema.administrative_area.adjectival_form): part of Administrative Area schema, links to type Text
8. Flag (fb:symbols.flag_referent.flag): part of Flag referent schema, links to type Flag use
9. Continent (fb:base.locations.countries.continent): links to type Continents, part of Countries schema
10. Contains (fb:location.location.contains): part of Location schema, links to type Location

No other items found

[Assistant] There are two relevant properties for language: "Languages spoken" (fb:location.country.languages_spoken) and "Official Language" (fb:location.country.official_language). I will query both to get the languages spoken in East Timor.

[Tool]
Got 20 rows and 2 columns, showing the first 5 and last 5 rows below:
| language                        | languageLabel         |
| ------------------------------- | --------------------- |
| Bunak Language (fb:m.025t0jp)   | Bunak Language (en)   |
| English Language (fb:m.02h40lc) | English Language (en) |
| Habu Language (fb:m.02hwsld)    | Habu Language (en)    |
| Kemak Language (fb:m.02hwtzw)   | Kemak Language (en)   |
| Makuv'a Language (fb:m.02hwv54) | Makuv'a Language (en) |
| ...                             | ...                   |
| Idalaka (fb:m.0k97dfx)          | Idalaka (en)          |
| Bekais (fb:m.0kc98sf)           | Bekais (en)           |
| Dawan (fb:m.0kc98sk)            | Dawan (en)            |
| Wetarese (fb:m.0kc98sn)         | Wetarese (en)         |
| Tetun-Terik (fb:m.0kc98sr)      | Tetun-Terik (en)      |

[Tool]
Got 2 rows and 2 columns:
| officialLanguage                 | officialLanguageLabel    |
| -------------------------------- | ------------------------ |
| Portuguese Language (fb:m.05zjd) | Portuguese Language (en) |
| Tetun Language (fb:m.0dss2)      | Tetun Language (en)      |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the languages spoken in East Timor from the Freebase knowledge graph, including their English labels. The answer provides a comprehensive list of languages spoken in East Timor and correctly identifies Portuguese and Tetun as the official languages. The query and answer are accurate and complete for the user's question.