PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?profession ?professionLabel ?position ?team ?desc WHERE {
  fb:m.097yk7 fb:people.person.profession ?profession .
  OPTIONAL {
    ?profession rdfs:label ?professionLabel .
    FILTER ( lang( ?professionLabel ) = 'en' )
  }
  OPTIONAL {
    fb:m.097yk7 fb:american_football.football_player.position_s ?position .
  }
  OPTIONAL {
    ?position rdfs:label ?positionLabel .
    FILTER ( lang( ?positionLabel ) = 'en' )
  }
  OPTIONAL {
    ?roster fb:sports.sports_team_roster.player fb:m.097yk7 .
    ?roster fb:sports.sports_team_roster.team ?team .
  }
  OPTIONAL {
    fb:m.097yk7 fb:common.topic.description ?desc .
    FILTER ( lang( ?desc ) = 'en' )
  }
}

Got 2 rows and 5 columns:
| profession                              | professionLabel               | position                 | team                        | desc                                                                     |
| --------------------------------------- | ----------------------------- | ------------------------ | --------------------------- | ------------------------------------------------------------------------ |
| Athlete (fb:m.01445t)                   | Athlete (en)                  | Quarterback (fb:m.06b1q) | Dallas Cowboys (fb:m.02896) | Antonio Ramiro "Tony" Romo is an... quarterback in the 4th quarter. (en) |
| American football player (fb:m.02h665k) | American football player (en) | Quarterback (fb:m.06b1q) | Dallas Cowboys (fb:m.02896) | Antonio Ramiro "Tony" Romo is an... quarterback in the 4th quarter. (en) |

Tony Romo is an American football player and athlete, best known as the quarterback for the Dallas Cowboys.

[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 romo do?

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

[Tool]
Example 1:
Question:
what university did tony romo go to?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.097yk7 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.097yk7 fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:common.topic.notable_types fb:m.01y2hnl .
}

Using entities:
College/University, also known as College, University (fb:m.01y2hnl): The College/University type is used for institutions that offer ...mation, please see the Freebase wiki page on College/University.
Tony Romo, also known as Antonio Ramiro Romo, Antonio Ramiro "Tony" Romo (fb:m.097yk7): Antonio Ramiro "Tony" Romo is an American football quarterback f...passer rating than any other NFL quarterback in the 4th quarter., has type American football player

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

Example 2:
Question:
where did sergio romo go to college?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.04cyz8g ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.04cyz8g fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:common.topic.notable_types fb:m.01y2hnl .
}

Using entities:
College/University, also known as College, University (fb:m.01y2hnl): The College/University type is used for institutions that offer ...mation, please see the Freebase wiki page on College/University.
Sergio Romo (fb:m.04cyz8g): Sergio Francisco Romo is a Mexican-American professional basebal... clinching games of the NL Division Series and the World Series., has type Baseball Player

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

Example 3:
Question:
who is tony romo engaged to?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.097yk7 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.097yk7 fb:people.person.spouse_s ?y .
  ?y fb:people.marriage.spouse ?x .
  ?y fb:people.marriage.type_of_union fb:m.04ztj .
  FILTER ( NOT EXISTS {
    ?y fb:people.marriage.from ?sk0
  }
  || EXISTS {
    ?y fb:people.marriage.from ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) <= "2015-08-10" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:people.marriage.to ?sk2
  }
  || EXISTS {
    ?y fb:people.marriage.to ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) >= "2015-08-10" ^^ xsd:dateTime )
  }
  )
}

Using entities:
Marriage, also known as Matrimony, Wedlock (fb:m.04ztj): Marriage, also called matrimony or wedlock, is a socially or rit...of concerns for women's rights and because of international law., has type Religious Practice
Tony Romo, also known as Antonio Ramiro Romo, Antonio Ramiro "Tony" Romo (fb:m.097yk7): Antonio Ramiro "Tony" Romo is an American football quarterback f...passer rating than any other NFL quarterback in the 4th quarter., has type American football player

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

[Assistant]
The question "what did romo do?" is ambiguous, as "Romo" could refer to Tony Romo (the American football player) or Sergio Romo (the baseball player), among others. The examples suggest that "Romo" often refers to Tony Romo or Sergio Romo, and "what did X do?" could mean "what is X known for?" or "what is X's profession/occupation?"

To answer this, I need to:
1. Identify which "Romo" the question refers to (Tony Romo is most likely, but I should check both).
2. Find the main activities, professions, or notable achievements associated with that person.

I'll start by searching for "Romo" in Freebase to see which entities are available.

[Tool]
Top 10 entity alternatives:
1. Rømø, also known as Rømø, Denmark (fb:m.05_gkj): Rømø is a Danish island in the Wadden Sea. Rømø is part of Tønde...any and was part of the Prussian province of Schleswig-Holstein., has type Geographical Feature
2. Romo, also known as Romo (fb:m.0dq5yyl): has type Musical Artist, Romo is a musician.
3. Bill Romanowski, also known as Romo, William Thomas Romanowski (fb:m.03rsd2): William Thomas "Bill" Romanowski is a former American football p...n 1996 and 1998, both during his tenure with the Denver Broncos., has type American football player
4. Romo (fb:m.011sg4_6): has type Film
5. Romo (fb:m.05_m_y): Romantic Modernism, more commonly known as Romo, was a musical a...e orientated club nights which would continue through the 2000s., has type Musical genre
6. Romo (fb:m.0p97c1z): Romo is a fictional character from the 1937 film Jim Hanvey, Detective., has type Film character
7. Romo (fb:m.09ntqyn): has type Fictional Character
8. RoMo (fb:m.05k6897): has type School mascot
9. RoMo (fb:m.05ghys2): has type Mascot
10. Daniela Romo, also known as Romo, Daniela, Teresa Presmanes Corona (fb:m.01p3wsp): Daniela Romo is a Mexican singer, actress and TV hostess. Her pa...s for inspiring her to become an actress and a recording artist., has type Musical Artist

[Tool]
Top 10 entity alternatives:
1. Tony Romo, also known as Antonio Ramiro Romo, Antonio Ramiro "Tony" Romo (fb:m.097yk7): Antonio Ramiro "Tony" Romo is an American football quarterback f...passer rating than any other NFL quarterback in the 4th quarter., has type American football player
2. Tony Romo (fb:m.03smkcl)
3. Tony Romo throwing to Roy Williams (fb:m.0h0978f)
4. Tony Romo before 2008 Pro Bowl (fb:m.05ttt1k)
5. Carrie Underwood and Tony Romo: What happened? (fb:m.08vyf40)
6. Anthony Hopkins, also known as Charlie, Tony, Sir Philip Anthony Hopkins, CBE, Sir Philip Anthony Hopkins, Sir Anthony Hopkins (fb:m.0z4s): Sir Philip Anthony Hopkins, CBE is a Welsh actor of film, stage,...ins was knighted by Queen Elizabeth II for services to the arts., has type Celebrity
7. Anthony Quinn, also known as Tony, Antonio Rudolfo Oaxaca Quinn, Antonio Rodolfo Quinn Oaxaca, Antonio Reyes, Anthony Qvinn (fb:m.0b_fw): Antonio Rodolfo Quinn Oaxaca, more commonly known as Anthony Qui...Actor twice: for Viva Zapata! in 1952 and Lust for Life in 1956., has type Film actor
8. Anthony Kiedis, also known as Tony Flow, Tony, The Tuff Daddy, The Swan, The Red Hot Chili Peppers (fb:m.01ttg5): Anthony Kiedis is an American singer, songwriter and musician, b...s of Red Hot Chili Peppers that are still in the current lineup., has type Celebrity
9. Anton LaVey, also known as Tony, LaVey, Anton, Howard Stanton Levey, Dr. LaVey, Black Pope (fb:m.01jmq6): Anton Szandor LaVey was an American author, carnival and circus ...Satanism", "The Black Pope", and the "evilest man in the world"., has type Founding Figure
10. Antonio Valencia, also known as Trencito, アントニオ・バレンシア, Torbellino, Tony, Toño (fb:m.0dc1yg): Luis Antonio Valencia Mosquera, commonly known as Antonio Valenc...e his Ecuador debut in 2005 and scored two goals in the process., has type Football player

[Tool]
Top 10 entity alternatives:
1. Sergio Romo (fb:m.04cyz8g): Sergio Francisco Romo is a Mexican-American professional basebal... clinching games of the NL Division Series and the World Series., has type Baseball Player
2. Sergio Romo 2010 (fb:m.0dg0npx)
3. Sergio Leone, also known as Bob Robertson, Sergio (fb:m.09n_q): Sergio Leone was an Italian film director, producer and screenwr...ou Sucker! and the epic crime drama Once Upon a Time in America., has type Film director
4. Steve Jocz, also known as Pain, Stiv Dzhoz, Stevo Jocz, Stevo32, Stevo (fb:m.02h7qc): Stephen Martin "Steve" Jocz, nicknamed Stevo32 or Stevo, is a Ca...t known as the former drummer for the Canadian rock band Sum 41., has type Composer
5. Sergio, also known as Sergio Gonzalez Soriano (fb:m.0fm8q4): Sergio González Soriano, simply known as Sergio, is a Spanish re...gio represented the Spanish national team in the 2002 World Cup., has type Football player
6. Rømø, also known as Rømø, Denmark (fb:m.05_gkj): Rømø is a Danish island in the Wadden Sea. Rømø is part of Tønde...any and was part of the Prussian province of Schleswig-Holstein., has type Geographical Feature
7. Sergio Álvarez Conde, also known as Sergio, Sergio Álvarez (fb:m.02vlqsk): Sergio Álvarez Conde, known as simply Sergio, is a Spanish footballer who plays for Celta de Vigo as a goalkeeper., has type Football player
8. Romo, also known as Romo (fb:m.0dq5yyl): has type Musical Artist, Romo is a musician.
9. Sergio (fb:m.02rr9rn): Sergio Fernández González, known as simply Sergio, is a Spanish ...La Liga games over the course of 15 seasons, scoring nine goals., has type Football player
10. Bill Romanowski, also known as Romo, William Thomas Romanowski (fb:m.03rsd2): William Thomas "Bill" Romanowski is a former American football p...n 1996 and 1998, both during his tenure with the Denver Broncos., has type American football player

[Tool]
Top 10 property alternatives:
1. Profession (fb:people.person.profession): links to type Profession, part of Person schema
2. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
3. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
4. Salary (fb:base.schemastaging.athlete_extra.salary): part of Athlete extra schema, links to type Athlete salary
5. Position (fb:user.szaijan.fantasy_football.player.position): links to type Position, part of Player schema
6. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
7. Career Start (fb:sports.pro_athlete.career_start): links to type Date/Time, part of Athlete schema
8. Position(s) (fb:american_football.football_player.position_s): part of American football player schema, links to type Sports position
9. Type (fb:type.object.type): part of Object schema, links to type Type
10. Name (fb:type.object.name): part of Object schema, links to type Text

No other items found

[Tool]
Got 370 rows and 3 columns, showing the first 10 rows below:
| subject                 | property                                                            | object                                                                   |
| ----------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Tony Romo (fb:m.097yk7) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Tony Romo (fb:m.097yk7) | Key (fb:type.object.key)                                            | /authority/daylife/topic/0fEy7Webiech1                                   |
| Tony Romo (fb:m.097yk7) | Name (fb:type.object.name)                                          | Tony Romo (da)                                                           |
| Tony Romo (fb:m.097yk7) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://da.wikipedia.org/wiki/index.html?curid=291878>                   |
| Tony Romo (fb:m.097yk7) | Notable for (fb:common.topic.notable_for)                           | fb:g.125cl0222                                                           |
| Tony Romo (fb:m.097yk7) | Notable types (fb:common.topic.notable_types)                       | American football player (fb:m.01xljrf)                                  |
| Tony Romo (fb:m.097yk7) | Description (fb:common.topic.description)                           | Antonio Ramiro «Tony» Romo er en...New York Giants i 2006 sesongen. (no) |
| Tony Romo (fb:m.097yk7) | Article (fb:common.topic.article)                                   | fb:m.097ykd                                                              |
| Tony Romo (fb:m.097yk7) | Also known as (fb:common.topic.alias)                               | Antonio Ramiro Romo (en)                                                 |
| Tony Romo (fb:m.097yk7) | Gender (fb:people.person.gender)                                    | Male (fb:m.05zppz)                                                       |
| ...                     | ...                                                                 | ...                                                                      |

[Tool]
Got 2 rows and 3 columns:
| subject                 | property                                 | object                                  |
| ----------------------- | ---------------------------------------- | --------------------------------------- |
| Tony Romo (fb:m.097yk7) | Profession (fb:people.person.profession) | American football player (fb:m.02h665k) |
| Tony Romo (fb:m.097yk7) | Profession (fb:people.person.profession) | Athlete (fb:m.01445t)                   |

[Tool]
Got 1 row and 3 columns:
| subject                 | property                                  | object         |
| ----------------------- | ----------------------------------------- | -------------- |
| Tony Romo (fb:m.097yk7) | Notable for (fb:common.topic.notable_for) | fb:g.125cl0222 |

[Tool]
Got 11 rows and 3 columns, showing the first 10 rows below:
| subject        | property                                              | object                                  |
| -------------- | ----------------------------------------------------- | --------------------------------------- |
| fb:g.125cl0222 | Display name (fb:common.notable_for.display_name)     | Football Player (en)                    |
| fb:g.125cl0222 | Type (fb:type.object.type)                            | notable_for (fb:common.notable_for)     |
| fb:g.125cl0222 | notable object (fb:common.notable_for.notable_object) | American football player (fb:m.01xljrf) |
| fb:g.125cl0222 | Predicate (fb:common.notable_for.predicate)           | /type/object/type                       |
| fb:g.125cl0222 | rdf:type                                              | notable_for (fb:common.notable_for)     |
| fb:g.125cl0222 | fb:common.notable_for.object                          | American football player (fb:m.01xljrf) |
| fb:g.125cl0222 | Display name (fb:common.notable_for.display_name)     | Footballspieler (de)                    |
| fb:g.125cl0222 | Display name (fb:common.notable_for.display_name)     | Futbolista (es)                         |
| fb:g.125cl0222 | Display name (fb:common.notable_for.display_name)     | Giocatore di Football Americano (it)    |
| fb:g.125cl0222 | Display name (fb:common.notable_for.display_name)     | Jogador de Futebol (pt)                 |
| ...            | ...                                                   | ...                                     |

[Tool]
Got 14 rows and 3 columns, showing the first 10 rows below:
| subject                 | property                                  | object                                                                   |
| ----------------------- | ----------------------------------------- | ------------------------------------------------------------------------ |
| Tony Romo (fb:m.097yk7) | Description (fb:common.topic.description) | Antonio Ramiro «Tony» Romo er en...New York Giants i 2006 sesongen. (no) |
| Tony Romo (fb:m.097yk7) | Description (fb:common.topic.description) | Antonio Ramiro "Tony" Romo es un...de los Dallas Cowboys en la NFL. (es) |
| Tony Romo (fb:m.097yk7) | Description (fb:common.topic.description) | Antonio Ramiro "Tony" Romo é um ...lmente joga pelo Dallas Cowboys. (pt) |
| Tony Romo (fb:m.097yk7) | Description (fb:common.topic.description) | Antonio Ramiro "Tony" Romo è un ...con tre o più touchdown passati. (it) |
| Tony Romo (fb:m.097yk7) | Description (fb:common.topic.description) | Antonio Ramiro "Tony" Romo is an... quarterback in the 4th quarter. (en) |
| Tony Romo (fb:m.097yk7) | Description (fb:common.topic.description) | Antonio Ramiro "Tony" Romo, né l...back pour les Cowboys de Dallas. (fr) |
| Tony Romo (fb:m.097yk7) | Description (fb:common.topic.description) | Antonio Ramiro ”Tony” Romo on NF... pelinrakentajana kaudella 2006. (fi) |
| Tony Romo (fb:m.097yk7) | Description (fb:common.topic.description) | Antonio "Tony" Ramiro Romo er en...tar kamp, den såkaldte Pro Bowl. (da) |
| Tony Romo (fb:m.097yk7) | Description (fb:common.topic.description) | Antonio „Tony” Ramiro Romo ist e...in der National Football League. (de) |
| Tony Romo (fb:m.097yk7) | Description (fb:common.topic.description) | Antonio "Tony" Romo je američki ...nastupe otkako je s njom u vezi. (hr) |
| ...                     | ...                                       | ...                                                                      |

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool]
Got 2 rows and 3 columns:
| subject                 | property                              | object                          |
| ----------------------- | ------------------------------------- | ------------------------------- |
| Tony Romo (fb:m.097yk7) | Also known as (fb:common.topic.alias) | Antonio Ramiro Romo (en)        |
| Tony Romo (fb:m.097yk7) | Also known as (fb:common.topic.alias) | Antonio Ramiro "Tony" Romo (en) |

[Tool]
Got 1 row and 3 columns:
| subject                 | property                                                      | object                   |
| ----------------------- | ------------------------------------------------------------- | ------------------------ |
| Tony Romo (fb:m.097yk7) | Position(s) (fb:american_football.football_player.position_s) | Quarterback (fb:m.06b1q) |

[Tool]
Got 1 row and 3 columns:
| subject                 | property                            | object       |
| ----------------------- | ----------------------------------- | ------------ |
| Tony Romo (fb:m.097yk7) | Teams (fb:sports.pro_athlete.teams) | fb:m.03gkj5_ |

[Tool]
Got 8 rows and 3 columns:
| subject      | property                                              | object                                            |
| ------------ | ----------------------------------------------------- | ------------------------------------------------- |
| fb:m.03gkj5_ | Type (fb:type.object.type)                            | Sports team roster (fb:sports.sports_team_roster) |
| fb:m.03gkj5_ | Has no value (fb:freebase.valuenotation.has_no_value) | To (fb:m.0j2n1f2)                                 |
| fb:m.03gkj5_ | Player (fb:sports.sports_team_roster.player)          | Tony Romo (fb:m.097yk7)                           |
| fb:m.03gkj5_ | Position (fb:sports.sports_team_roster.position)      | Quarterback (fb:m.06b1q)                          |
| fb:m.03gkj5_ | Team (fb:sports.sports_team_roster.team)              | Dallas Cowboys (fb:m.02896)                       |
| fb:m.03gkj5_ | From (fb:sports.sports_team_roster.from)              | 2003 (xsd:gYear)                                  |
| fb:m.03gkj5_ | Number (fb:sports.sports_team_roster.number)          | 9                                                 |
| fb:m.03gkj5_ | rdf:type                                              | Sports team roster (fb:sports.sports_team_roster) |

[Tool]
Got 1 row and 3 columns:
| subject                 | property                                       | object                |
| ----------------------- | ---------------------------------------------- | --------------------- |
| Tony Romo (fb:m.097yk7) | Date of birth (fb:people.person.date_of_birth) | 1980-04-21 (xsd:date) |

[Tool]
Got 1 row and 3 columns:
| subject                 | property                                              | object                                 |
| ----------------------- | ----------------------------------------------------- | -------------------------------------- |
| Tony Romo (fb:m.097yk7) | Country of nationality (fb:people.person.nationality) | United States of America (fb:m.09c7w0) |

[Tool]
Got 2 rows and 3 columns:
| subject                 | property                               | object       |
| ----------------------- | -------------------------------------- | ------------ |
| Tony Romo (fb:m.097yk7) | Education (fb:people.person.education) | fb:m.02kycz5 |
| Tony Romo (fb:m.097yk7) | Education (fb:people.person.education) | fb:m.0n1hwt2 |

[Tool]
Got 4 rows and 3 columns:
| subject      | property                                         | object                                    |
| ------------ | ------------------------------------------------ | ----------------------------------------- |
| fb:m.02kycz5 | Type (fb:type.object.type)                       | Education (fb:education.education)        |
| fb:m.02kycz5 | Institution (fb:education.education.institution) | Eastern Illinois University (fb:m.02zkdz) |
| fb:m.02kycz5 | Student (fb:education.education.student)         | Tony Romo (fb:m.097yk7)                   |
| fb:m.02kycz5 | rdf:type                                         | Education (fb:education.education)        |

[Tool]
Got 4 rows and 3 columns:
| subject      | property                                         | object                               |
| ------------ | ------------------------------------------------ | ------------------------------------ |
| fb:m.0n1hwt2 | Type (fb:type.object.type)                       | Education (fb:education.education)   |
| fb:m.0n1hwt2 | Institution (fb:education.education.institution) | Burlington High School (fb:m.0fz2bz) |
| fb:m.0n1hwt2 | Student (fb:education.education.student)         | Tony Romo (fb:m.097yk7)              |
| fb:m.0n1hwt2 | rdf:type                                         | Education (fb:education.education)   |

[Tool]
Got 370 rows and 2 columns, showing the first 5 and last 5 rows below:
| property                        | object                |
| ------------------------------- | --------------------- |
| fbkey:authority.daylife.topic   | 0fEy7Webiech1         |
| fbkey:authority.imdb.name       | nm2561320             |
| fbkey:authority.nndb            | 650$002F000129263     |
| fbkey:authority.tvrage.person   | 237008                |
| fbkey:base.ranker.rankerurlname | tony-romo$002F2261935 |
| ...                             | ...                   |
| rdfs:label                      | Tony Romo (sv)        |
| rdfs:label                      | Тони Ромо (ru)        |
| rdfs:label                      | टोनी रोमो (hi)        |
| rdfs:label                      | 토니 로모 (ko)            |
| rdfs:label                      | トニー・ロモ (ja)           |

[Tool]
Got 2 rows and 1 column:
| profession                              |
| --------------------------------------- |
| Athlete (fb:m.01445t)                   |
| American football player (fb:m.02h665k) |

[Tool]
Got 1 row and 1 column:
| position                 |
| ------------------------ |
| Quarterback (fb:m.06b1q) |

[Tool]
Got 1 row and 1 column:
| team                        |
| --------------------------- |
| Dallas Cowboys (fb:m.02896) |

[Tool]
Got 1 row and 1 column:
| desc                                                                     |
| ------------------------------------------------------------------------ |
| Antonio Ramiro "Tony" Romo is an... quarterback in the 4th quarter. (en) |

[Tool]
Got 1 row and 1 column:
| label          |
| -------------- |
| Tony Romo (en) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?language ?languageLabel WHERE {
  fb:m.0chghy fb:location.country.languages_spoken ?language .
  OPTIONAL {
    ?language rdfs:label ?languageLabel .
  }
}

Got 115 rows and 2 columns, showing the first 5 and last 5 rows below:
| language                        | languageLabel   |
| ------------------------------- | --------------- |
| English Language (fb:m.02h40lc) | Anglais (fr)    |
| English Language (fb:m.02h40lc) | Anglès (ca)     |
| English Language (fb:m.02h40lc) | Angleščina (sl) |
| English Language (fb:m.02h40lc) | Angličtina (cs) |
| English Language (fb:m.02h40lc) | Angličtina (sk) |
| ...                             | ...             |
| Lojban (fb:m.04gd7)             | لوجبان (ar)     |
| Lojban (fb:m.04gd7)             | 로지반 (ko)        |
| Lojban (fb:m.04gd7)             | ロジバン (ja)       |
| Lojban (fb:m.04gd7)             | 逻辑语 (zh)        |
| Lojban (fb:m.04gd7)             | 邏輯語 (zh-Hant)   |

Australians speak several languages, with English (fb:m.02h40lc) being the primary language. Other languages are also spoken, as listed in the query results.

[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 australians speak?

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

[Tool]
Example 1:
Question:
what language do australian people speak?

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

Using entities:
Australia, also known as Commonwealth of Australia, The Commonwealth of Australia (fb:m.0chghy): Australia, officially the Commonwealth of Australia, is an Ocean...e six colonies federated, forming the Commonwealth of Australia., has type Country

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

Example 2:
Question:
what language does people speak in australia?

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

Using entities:
Australia, also known as Commonwealth of Australia, The Commonwealth of Australia (fb:m.0chghy): Australia, officially the Commonwealth of Australia, is an Ocean...e six colonies federated, forming the Commonwealth of Australia., has type Country

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

Example 3:
Question:
what language do the people speak in australia?

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

Using entities:
Australia, also known as Commonwealth of Australia, The Commonwealth of Australia (fb:m.0chghy): Australia, officially the Commonwealth of Australia, is an Ocean...e six colonies federated, forming the Commonwealth of Australia., has type Country

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

[Assistant]
The similar examples show that the entity for Australia is fb:m.0chghy and the property for languages spoken is fb:location.country.languages_spoken. The query retrieves the languages spoken in Australia.

I will use the same approach, but I will also try to include the labels of the languages for clarity.

Here is the SPARQL query:

SELECT DISTINCT ?language ?languageLabel WHERE {
  fb:m.0chghy fb:location.country.languages_spoken ?language .
  OPTIONAL { ?language rdfs:label ?languageLabel . }
}

This will return the IRIs of the languages spoken in Australia, along with their labels if available.

[Tool]
Got 115 rows and 2 columns, showing the first 5 and last 5 rows below:
| language                        | languageLabel   |
| ------------------------------- | --------------- |
| English Language (fb:m.02h40lc) | Anglais (fr)    |
| English Language (fb:m.02h40lc) | Anglès (ca)     |
| English Language (fb:m.02h40lc) | Angleščina (sl) |
| English Language (fb:m.02h40lc) | Angličtina (cs) |
| English Language (fb:m.02h40lc) | Angličtina (sk) |
| ...                             | ...             |
| Lojban (fb:m.04gd7)             | لوجبان (ar)     |
| Lojban (fb:m.04gd7)             | 로지반 (ko)        |
| Lojban (fb:m.04gd7)             | ロジバン (ja)       |
| Lojban (fb:m.04gd7)             | 逻辑语 (zh)        |
| Lojban (fb:m.04gd7)             | 邏輯語 (zh-Hant)   |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?actor WHERE {
  fb:m.03nm_fh fb:film.film.starring ?performance .
  ?performance fb:film.performance.actor ?actor .
  ?performance fb:film.performance.character fb:m.02qd_td .
}

Taylor Lautner (fb:m.07ldhs) played Jacob Black in Twilight.

[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 similar examples.

[Tool]
Example 1:
Question:
who plays jacob black in twilight?

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

Example 2:
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

Example 3:
Question:
who played jacob black?

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

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

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

[Tool]
Got 1 row and 1 column:
| actor                        |
| ---------------------------- |
| Taylor Lautner (fb:m.07ldhs) |

[Tool]
Got 39 rows and 2 columns, showing the first 5 and last 5 rows below:
| actor                        | actorLabel                |
| ---------------------------- | ------------------------- |
| 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


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

Got 278 rows and 2 columns, showing the first 5 and last 5 rows below:
| religion                  | religionLabel        |
| ------------------------- | -------------------- |
| Christianity (fb:m.01lp8) | Agama Kristian (ms)  |
| Christianity (fb:m.01lp8) | Agama Kristiani (id) |
| Christianity (fb:m.01lp8) | Chrétienté (fr)      |
| Christianity (fb:m.01lp8) | Christendom (nl)     |
| Christianity (fb:m.01lp8) | Christentum (de)     |
| ...                       | ...                  |
| Atheism (fb:m.0kpl)       | อเทวนิยม (th)        |
| Atheism (fb:m.0kpl)       | 무신론 (ko)             |
| Atheism (fb:m.0kpl)       | 无神论 (zh)             |
| Atheism (fb:m.0kpl)       | 無神論 (ja)             |
| Atheism (fb:m.0kpl)       | 無神論 (zh-Hant)        |

The types of religions in the United States include Christianity, Judaism, Islam, Buddhism, Hinduism, Atheism, and others. The query returns the IRIs of all religions associated with the United States, along with their labels in various languages.

[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 similar examples.

[Tool]
Example 1:
Question:
what are major religions in the united states?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.09c7w0 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.09c7w0 fb:location.statistical_region.religions ?y .
  ?y fb:location.religion_percentage.religion ?x .
}

Using entities:
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

Using properties:
Religion (fb:location.religion_percentage.religion): part of Religion percentage schema, links to type Religion
Religions (fb:location.statistical_region.religions): links to type Religion percentage, part of Statistical region schema

Example 2:
Question:
what are the most common religions in the united states?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.09c7w0 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.09c7w0 fb:location.statistical_region.religions ?y .
  ?y fb:location.religion_percentage.religion ?x .
}

Using entities:
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

Using properties:
Religion (fb:location.religion_percentage.religion): part of Religion percentage schema, links to type Religion
Religions (fb:location.statistical_region.religions): links to type Religion percentage, part of Statistical region schema

Example 3:
Question:
what is the most practiced religion in the united states?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.09c7w0 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.09c7w0 fb:location.statistical_region.religions ?y .
  ?y fb:location.religion_percentage.religion ?x .
  ?y fb:location.religion_percentage.percentage ?sk0 .
}
ORDER BY DESC ( xsd:float ( ?sk0 ) )
LIMIT 1

Using entities:
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

Using properties:
Percent of population (fb:location.religion_percentage.percentage): links to type Floating Point Number, part of Religion percentage schema
Religion (fb:location.religion_percentage.religion): part of Religion percentage schema, links to type Religion
Religions (fb:location.statistical_region.religions): links to type Religion percentage, part of Statistical region schema

[Assistant]
The similar examples show that the entity for the United States is `fb:m.09c7w0`, and the property for religions in a statistical region is `fb:location.statistical_region.religions`, which links to a `Religion percentage` object. The actual religion is then found via `fb:location.religion_percentage.religion`.

To answer "what type of religions are in the united states?", I will write a SPARQL query that retrieves all distinct religions associated with the United States, returning their IRIs and optionally their labels.

Here is the query I will use:

[Tool]
Got 278 rows and 2 columns, showing the first 5 and last 5 rows below:
| religion                  | religionLabel        |
| ------------------------- | -------------------- |
| Christianity (fb:m.01lp8) | Agama Kristian (ms)  |
| Christianity (fb:m.01lp8) | Agama Kristiani (id) |
| Christianity (fb:m.01lp8) | Chrétienté (fr)      |
| Christianity (fb:m.01lp8) | Christendom (nl)     |
| Christianity (fb:m.01lp8) | Christentum (de)     |
| ...                       | ...                  |
| Atheism (fb:m.0kpl)       | อเทวนิยม (th)        |
| Atheism (fb:m.0kpl)       | 무신론 (ko)             |
| Atheism (fb:m.0kpl)       | 无神论 (zh)             |
| Atheism (fb:m.0kpl)       | 無神論 (ja)             |
| Atheism (fb:m.0kpl)       | 無神論 (zh-Hant)        |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?profession ?work WHERE {
  fb:m.0w6w fb:people.person.profession ?profession .
  OPTIONAL {
    fb:m.0w6w fb:book.author.works_written ?work
  }
}

Got 285 rows and 2 columns, showing the first 5 and last 5 rows below:
| profession                 | work                                                                       |
| -------------------------- | -------------------------------------------------------------------------- |
| Philosopher (fb:m.02h6fbs) | fb:g.121pw5_6                                                              |
| Philosopher (fb:m.02h6fbs) | Against Academicians and the Teacher (fb:m.010v031y)                       |
| Philosopher (fb:m.02h6fbs) | De moribus ecclesiae catholicae et de moribus Manichaeorum (fb:m.012dv835) |
| Philosopher (fb:m.02h6fbs) | City of God (fb:m.0281p7)                                                  |
| Philosopher (fb:m.02h6fbs) | The Confessions of St. Augustine (fb:m.02xk96)                             |
| ...                        | ...                                                                        |
| Writer (fb:m.0cbd2)        | Tractates on the Gospel of John (fb:m.0c1x_sj)                             |
| Writer (fb:m.0cbd2)        | Treatises on various subjects (fb:m.0c1x_sm)                               |
| Writer (fb:m.0cbd2)        | The Trinity (fb:m.0c1x_sq)                                                 |
| Writer (fb:m.0cbd2)        | De doctrina christiana (fb:m.0c5v3w)                                       |
| Writer (fb:m.0cbd2)        | Soliloquies of Augustine (fb:m.0gvv9j2)                                    |

St Augustine (Augustine of Hippo) was a philosopher, physician, and writer. He is known for his influential works such as 'City of God', 'The Confessions of St. Augustine', 'The Trinity', 'De doctrina christiana', 'Against Academicians and the Teacher', and 'De moribus ecclesiae catholicae et de moribus Manichaeorum'. He played a major role in Christian theology and Western philosophy.

[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 similar examples.

[Tool]
Example 1:
Question:
what did st. matthew do?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0565x ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0565x fb:book.author.works_written ?x .
}

Using entities:
Matthew the Apostle, also known as Levi (fb:m.0565x): Matthew the Apostle was, according to the Bible, one of the twel..., according to Christian tradition, one of the four Evangelists., has type Deceased Person

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

Example 2:
Question:
what did martin luther do?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.04yd_ ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.04yd_ fb:people.person.profession ?x .
}

Using entities:
Martin Luther (fb:m.04yd_): Martin Luther was a German friar, priest and professor of theolo... by considering all baptized Christians to be a holy priesthood., has type Founding Figure

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

Example 3:
Question:
what is saint nicholas known for?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0f9q7 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0f9q7 fb:book.book_subject.works ?x .
}

Using entities:
Saint Nicholas, also known as Nikolaos of Bari, Nikolaos of Myra, Nikolaos the Wonderworker, St. Nicholas (fb:m.0f9q7): Saint Nicholas;, also called Nikolaos of Myra, was a historic 4t...nd Reformed churches have been named in honor of Saint Nicholas., has type Deceased Person

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, it seems that to answer "what did st augustine do?", we should:

1. Identify the correct entity for St Augustine in Freebase.
2. Check for properties such as "profession", "works written", or other notable actions associated with the entity.

Let's start by searching for the entity "St Augustine" in Freebase.

[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 most relevant entity for "St Augustine" (the religious leader and philosopher) is "Augustine of Hippo" (fb:m.0w6w).

Next, I will search for properties related to what he "did"—such as profession, works written, or notable actions—using this entity.

[Tool]
Top 10 property alternatives:
1. Profession (fb:people.person.profession): links to type Profession, part of Person schema
2. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
3. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
4. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
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. Gender (fb:people.person.gender): part of Person schema, links to type Gender
8. Date of death (fb:people.deceased_person.date_of_death): part of Deceased Person schema, links to type Date/Time
9. Place of death (fb:people.deceased_person.place_of_death): part of Deceased Person schema, links to type Location
10. Key (fb:type.object.key): part of Object schema, links to type Key

No other items found

[Tool]
Top 10 property alternatives:
1. Has value (fb:freebase.valuenotation.has_value): part of Value Notation schema, links to type Property
2. Description (fb:common.topic.description): part of Topic schema, links to type Text
3. Name (fb:type.object.name): part of Object schema, links to type Text
4. Image (fb:common.topic.image): part of Topic schema, links to type Image
5. Works written (fb:book.author.works_written): links to type Written Work, part of Author schema
6. Key (fb:type.object.key): part of Object schema, links to type Key
7. Type (fb:type.object.type): part of Object schema, links to type Type
8. Article (fb:common.topic.article): links to type Document, part of Topic schema
9. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
10. Equivalent Instances (fb:base.ontologies.ontology_instance.equivalent_instances): links to type Ontology Instance Mapping, part of Ontology Instance schema

No other items found

[Tool]
Top 10 property alternatives:
1. Notable for (fb:common.topic.notable_for): links to type notable_for, part of Topic schema
2. Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
3. Name (fb:type.object.name): part of Object schema, links to type Text
4. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
5. Also known as (fb:common.topic.alias): part of Topic schema, links to type Text
6. Things named after this (fb:symbols.name_source.namesakes): part of Name source schema, links to type Namesake
7. Influenced (fb:influence.influence_node.influenced): part of Influence Node schema, links to type Influence Node
8. Influenced By (fb:influence.influence_node.influenced_by): part of Influence Node schema, links to type Influence Node
9. Key (fb:type.object.key): part of Object schema, links to type Key
10. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema

No other items found

[Tool]
Got 3 rows and 1 column:
| profession                 |
| -------------------------- |
| Philosopher (fb:m.02h6fbs) |
| Physician (fb:m.05t4q)     |
| Writer (fb:m.0cbd2)        |

[Tool]
Got 95 rows and 1 column, showing the first 5 and last 5 rows below:
| work                                                                       |
| -------------------------------------------------------------------------- |
| fb:g.121pw5_6                                                              |
| Against Academicians and the Teacher (fb:m.010v031y)                       |
| De moribus ecclesiae catholicae et de moribus Manichaeorum (fb:m.012dv835) |
| City of God (fb:m.0281p7)                                                  |
| The Confessions of St. Augustine (fb:m.02xk96)                             |
| ...                                                                        |
| Tractates on the Gospel of John (fb:m.0c1x_sj)                             |
| Treatises on various subjects (fb:m.0c1x_sm)                               |
| The Trinity (fb:m.0c1x_sq)                                                 |
| De doctrina christiana (fb:m.0c5v3w)                                       |
| Soliloquies of Augustine (fb:m.0gvv9j2)                                    |

[Tool]
Got 1 row and 1 column:
| notable        |
| -------------- |
| fb:g.125953w9h |

[Tool] Got no rows and 1 columns

[Tool]
Got 40 rows and 1 column, showing the first 5 and last 5 rows below:
| desc                                                                        |
| --------------------------------------------------------------------------- |
| Agostinho de Hipona, conhecido u...mento da teoria da guerra justa. (pt)    |
| Agustín de Hipona o san Agustín ...e Dios sus obras más destacadas. (es)    |
| Agustinus dari Hippo, atau biasa...gan dunia pada abad pertengahan. (id)    |
| Augustin af Hippo eller Aurelius...hedensk og hans mor var kristen. (da)    |
| Augustin de Hipona a fost un epi...veridicitatea religiei creștine. (ro)    |
| ...                                                                         |
| นักบุญออกัสตินแห่งฮิปโป เกิดเมื่...องออกัสตินยังส่งผลมาตลอดสมัยกลาง (th)    |
| 성 아우렐리우스 아우구스티누스는 4세기 알제리 및 이탈리아...스틴이라고 부를 때도 있고, 간혹 아우구스틴이라고도 한다. (ko)    |
| アウレリウス・アウグスティヌスは、古代キリスト教の神学者、哲学者...グスティヌスはこれと区別してヒッポのアウグスティヌスと呼ばれる。 (ja)    |
| 奥勒留·奥古斯提奴斯，罗马帝国末期北非的柏柏尔人，早期西方基督教...要源头。他的死也被西方史学界视为欧洲在精神层面上的中世纪的开始。 (zh)    |
| 奧勒留·奧古斯提奴斯，羅馬帝國末期北非的柏柏爾人，早期西方基督教...要源頭。他的死也被西方史學界視為歐洲在精神層面上的中世紀的開始。 (zh-TW) |

[Tool]
Got 44 rows and 1 column, showing the first 5 and last 5 rows below:
| label              |
| ------------------ |
| Ahli Falsafah (ms) |
| Filosof (da)       |
| Filosof (no)       |
| Filosof (sv)       |
| Filòsof (ca)       |
| ...                |
| นักปรัชญา (th)     |
| 철학자 (ko)           |
| 哲学家 (zh)           |
| 哲学者 (ja)           |
| 哲學家 (zh-Hant)      |

[Tool]
Got 45 rows and 1 column, showing the first 5 and last 5 rows below:
| label          |
| -------------- |
| Arst (et)      |
| Ārsts (lv)     |
| Arts (nl)      |
| Arzt (de)      |
| Bác sĩ (vi)   |
| ...            |
| แพทย์ (th)     |
| 의사 (ko)        |
| 內科醫生 (zh-Hant) |
| 内科医师 (zh)      |
| 医師 (ja)        |

[Tool]
Got 45 rows and 1 column, showing the first 5 and last 5 rows below:
| label             |
| ----------------- |
| Écrivain (fr)     |
| Escriptor (ca)    |
| Escritor (es)     |
| Escritor (es-419) |
| Escritor (pt)     |
| ...               |
| นักเขียน (th)     |
| 저술가 (ko)          |
| 作家 (ja)           |
| 作家 (zh)           |
| 作家 (zh-Hant)      |

[Tool]
Got 31 rows and 1 column, showing the first 5 and last 5 rows below:
| label                |
| -------------------- |
| City of God (en)     |
| De civitate Dei (de) |
| De civitate Dei (hr) |
| De civitate Dei (nl) |
| De civitate Dei (sr) |
| ...                  |
| مدينة الإله (ar)     |
| 신국 (ko)              |
| 上帝之城 (zh)            |
| 上帝之城 (zh-Hant)       |
| 神の国 (ja)             |

[Tool]
Got 25 rows and 1 column, showing the first 5 and last 5 rows below:
| label                        |
| ---------------------------- |
| Bekännelser (sv)             |
| Bekjennelser (no)            |
| Confesiones (es)             |
| Confessiones (da)            |
| Confessiones (de)            |
| ...                          |
| اعترافات آگوستین قدیس (fa)   |
| اعترافات القديس أوغسطين (ar) |
| 고백록 (ko)                     |
| 告白 (ja)                      |
| 懺悔錄 (zh-Hant)                |

[Tool]
Got 1 row and 1 column:
| label                                     |
| ----------------------------------------- |
| Against Academicians and the Teacher (en) |

[Tool]
Got 1 row and 1 column:
| label                                                           |
| --------------------------------------------------------------- |
| De moribus ecclesiae catholicae et de moribus Manichaeorum (en) |

[Tool]
Got 1 row and 1 column:
| label            |
| ---------------- |
| The Trinity (en) |

[Tool]
Got 8 rows and 1 column:
| label                         |
| ----------------------------- |
| De doctrina christiana (de)   |
| De doctrina christiana (en)   |
| De doctrina christiana (nl)   |
| De doctrina Christiana (ca)   |
| Kristillinen opetus (fi)      |
| O nauce chrześcijańskiej (pl) |
| 論基督教教義 (zh-Hant)              |
| 论基督教教义 (zh)                   |

[Tool] Stopped generation process


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

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) |

Jackie Robinson played for the following teams: Kansas City Monarchs (fb:m.02_cjl), Montreal Royals (fb:m.03_wkh), Los Angeles Bulldogs (fb:m.0413z4v), Brooklyn Dodgers (fb:m.05fc8c9), and UCLA Bruins football (fb:m.0fbtm7).

[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 similar examples.

[Tool]
Example 1:
Question:
what years did jackie robinson play baseball?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0443c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0443c fb:baseball.baseball_player.batting_stats ?y .
  ?y fb:baseball.batting_statistics.season ?x .
}

Using entities:
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

Using properties:
Batting Statistics (fb:baseball.baseball_player.batting_stats): links to type Batting Statistics, part of Baseball Player schema
Season (fb:baseball.batting_statistics.season): links to type Sports League Season, part of Batting Statistics schema

Example 2:
Question:
where did jackie robinson go to school?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0443c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0443c fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
}

Using entities:
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

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

Example 3:
Question:
what professional baseball team did michael jordan play for?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.054c1 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.054c1 fb:sports.pro_athlete.teams ?y .
  ?y fb:sports.sports_team_roster.team ?x .
  ?x fb:common.topic.notable_types fb:m.0256985 .
}

Using entities:
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.
Michael Jordan, also known as MJ, His Airness, Mike Jordan, Michael Jeffrey Jordan, His Royal Airness (fb:m.054c1): Michael Jeffrey Jordan, also known by his initials, MJ, is an Am...ation for being one of the best defensive players in basketball., has type Celebrity

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Teams (fb:sports.pro_athlete.teams): links to type Sports team roster, part of Athlete schema
Team (fb:sports.sports_team_roster.team): part of Sports team roster schema, links to type Sports Team

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

- Jackie Robinson's Freebase entity is fb:m.0443c.
- To find the teams he played for, the property fb:sports.pro_athlete.teams is used, which links to a Sports Team Roster node.
- From the roster node, the property fb:sports.sports_team_roster.team gives the actual team entity.
- To ensure we only get baseball teams, we can filter by the notable type fb:m.0256985 (Baseball Team).

I will now construct a SPARQL query to get the teams Jackie Robinson played for, returning their IRIs and optionally their labels.

[Tool]
Got 5 rows and 2 columns:
| team                               | teamLabel                    |
| ---------------------------------- | ---------------------------- |
| Kansas City Monarchs (fb:m.02_cjl) | Kansas City Monarchs (en)    |
| Kansas City Monarchs (fb:m.02_cjl) | Monarchs de Kansas City (fr) |
| Kansas City Monarchs (fb:m.02_cjl) | 캔자스시티 모나크스 (ko)              |
| Montreal Royals (fb:m.03_wkh)      | Montreal Royals (en)         |
| Montreal Royals (fb:m.03_wkh)      | Royaux de Montréal (fr)      |

[Tool]
Got 2 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)      |

[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) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?state WHERE {
  fb:m.02mjmr fb:people.person.place_of_birth ?place .
  ?place fb:location.location.containedby ?state .
  ?state fb:common.topic.notable_types fb:m.0kpys4 .
}

Barack Obama is from the state of Hawaii (IRI: fb:m.03gh4).

[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 similar examples.

[Tool]
Example 1:
Question:
what state does obama come from?

SPARQL:
SELECT DISTINCT ?x WHERE {
  fb:m.02mjmr fb:people.person.place_of_birth ?y .
  ?y fb:location.location.containedby ?x .
  ?x fb:common.topic.notable_types fb:m.0kpys4 .
}

Using entities:
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
US State (fb:m.0kpys4): A US State is one of the fifty sub-national entitites comprising... of America. Each state has its own capital city and government.

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

Example 2:
Question:
what state obama was born?

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

Using entities:
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

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

Example 3:
Question:
what state is barack obama senator for?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02mjmr ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02mjmr fb:government.politician.government_positions_held ?y .
  ?y fb:government.government_position_held.district_represented ?x .
  ?y fb:government.government_position_held.office_position_or_title fb:m.02_7l8y .
}

Using entities:
United States Senator, also known as U.S. Senator (fb:m.02_7l8y): has type Government Office or Title
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

Using properties:
District represented (if position is district-related) (fb:government.government_position_held.district_represented): part of Government Position Held schema, links to type Political District
Office, position, or title (fb:government.government_position_held.office_position_or_title): links to type Government Office or Title, part of Government Position Held schema
Government Positions Held (fb:government.politician.government_positions_held): links to type Government Position Held, part of Politician schema

[Assistant]
The similar examples suggest two possible interpretations for "what state is Barack Obama from?": his state of birth, or the state he represented as a senator. The most common interpretation is the state of birth.

From the examples, the following approach is suggested:
- Get Barack Obama's place of birth (fb:people.person.place_of_birth).
- Find the containing US state for that place (fb:location.location.containedby).
- Filter for entities of type US State (fb:m.0kpys4).

I will write a SPARQL query that follows this logic and also returns the IRI and optionally the label of the state.

[Tool]
Got 1 row and 1 column:
| state               |
| ------------------- |
| Hawaii (fb:m.03gh4) |

[Tool]
Got 42 rows and 2 columns, showing the first 5 and last 5 rows below:
| state               | stateLabel      |
| ------------------- | --------------- |
| Hawaii (fb:m.03gh4) | Havaí (pt)      |
| Hawaii (fb:m.03gh4) | Havaiji (fi)    |
| Hawaii (fb:m.03gh4) | Havaj (cs)      |
| Hawaii (fb:m.03gh4) | Havaj (sk)      |
| Hawaii (fb:m.03gh4) | Havajai (lt)    |
| ...                 | ...             |
| Hawaii (fb:m.03gh4) | มลรัฐฮาวาย (th) |
| Hawaii (fb:m.03gh4) | 하와이 주 (ko)      |
| Hawaii (fb:m.03gh4) | ハワイ州 (ja)       |
| Hawaii (fb:m.03gh4) | 夏威夷州 (zh)       |
| Hawaii (fb:m.03gh4) | 夏威夷州 (zh-Hant)  |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?lang WHERE {
  fb:m.02lx0 fb:location.country.languages_spoken ?lang .
}

Got 20 rows and 1 column, showing the first 5 and last 5 rows below:
| lang                            |
| ------------------------------- |
| Bunak Language (fb:m.025t0jp)   |
| English Language (fb:m.02h40lc) |
| Habu Language (fb:m.02hwsld)    |
| Kemak Language (fb:m.02hwtzw)   |
| Makuv'a Language (fb:m.02hwv54) |
| ...                             |
| Idalaka (fb:m.0k97dfx)          |
| Bekais (fb:m.0kc98sf)           |
| Dawan (fb:m.0kc98sk)            |
| Wetarese (fb:m.0kc98sn)         |
| Tetun-Terik (fb:m.0kc98sr)      |

East Timor (Timor-Leste) speaks the following languages: Bunak, English, Habu, Kemak, Makuv'a, Portuguese, Indonesian, Tetun, Fataluku, Makasae, Tukudede, Galoli, Mambai, Baikeno, Naueti, Idalaka, Bekais, Dawan, Wetarese, Tetun-Terik.

[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 similar examples.

[Tool]
Example 1:
Question:
what language do they speak in indonesia?

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

Using entities:
Indonesia, also known as Republic of Indonesia, The Republic of Indonesia (fb:m.03ryn): Indonesia, officially the Republic of Indonesia, is a sovereign ... early centuries CE, and Hindu and Buddhist kingdoms flourished., has type Country

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

Example 2:
Question:
what language do they speak in indonesia?

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

Using entities:
Indonesia, also known as Republic of Indonesia, The Republic of Indonesia (fb:m.03ryn): Indonesia, officially the Republic of Indonesia, is a sovereign ... early centuries CE, and Hindu and Buddhist kingdoms flourished., has type Country

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

Example 3:
Question:
what is the language used in indonesia?

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

Using entities:
Indonesia, also known as Republic of Indonesia, The Republic of Indonesia (fb:m.03ryn): Indonesia, officially the Republic of Indonesia, is a sovereign ... early centuries CE, and Hindu and Buddhist kingdoms flourished., has type Country

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

[Assistant]
The similar examples use the entity for the country (e.g., Indonesia) and the property fb:location.country.official_language or fb:location.country.languages_spoken to get the languages spoken in that country.

Step 1: Find the Freebase entity for East Timor.
Step 2: Use the properties for official language and languages spoken to get the answer.

Let's search for the entity "East Timor" in Freebase.

[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 correct entity for the country East Timor (also known as Timor-Leste) is fb:m.02lx0.

Next, I will use the properties fb:location.country.official_language and fb:location.country.languages_spoken with this entity to find the languages spoken in East Timor.

I'll start by checking the official language property.

[Tool]
Got 2 rows and 3 columns:
| subject                  | property                                                  | object                           |
| ------------------------ | --------------------------------------------------------- | -------------------------------- |
| Timor-Leste (fb:m.02lx0) | Official Language (fb:location.country.official_language) | Portuguese Language (fb:m.05zjd) |
| Timor-Leste (fb:m.02lx0) | Official Language (fb:location.country.official_language) | Tetun Language (fb:m.0dss2)      |

[Tool]
Got 20 rows and 3 columns, showing the first 10 rows below:
| subject                  | property                                                | object                           |
| ------------------------ | ------------------------------------------------------- | -------------------------------- |
| Timor-Leste (fb:m.02lx0) | Languages spoken (fb:location.country.languages_spoken) | English Language (fb:m.02h40lc)  |
| Timor-Leste (fb:m.02lx0) | Languages spoken (fb:location.country.languages_spoken) | Portuguese Language (fb:m.05zjd) |
| Timor-Leste (fb:m.02lx0) | Languages spoken (fb:location.country.languages_spoken) | Indonesian Language (fb:m.097kp) |
| Timor-Leste (fb:m.02lx0) | Languages spoken (fb:location.country.languages_spoken) | Tetun Language (fb:m.0dss2)      |
| Timor-Leste (fb:m.02lx0) | Languages spoken (fb:location.country.languages_spoken) | Fataluku Language (fb:m.063xlx)  |
| Timor-Leste (fb:m.02lx0) | Languages spoken (fb:location.country.languages_spoken) | Makasae Language (fb:m.02hxwg_)  |
| Timor-Leste (fb:m.02lx0) | Languages spoken (fb:location.country.languages_spoken) | Tukudede Language (fb:m.02hxz87) |
| Timor-Leste (fb:m.02lx0) | Languages spoken (fb:location.country.languages_spoken) | Bunak Language (fb:m.025t0jp)    |
| Timor-Leste (fb:m.02lx0) | Languages spoken (fb:location.country.languages_spoken) | Kemak Language (fb:m.02hwtzw)    |
| Timor-Leste (fb:m.02lx0) | Languages spoken (fb:location.country.languages_spoken) | Galoli Language (fb:m.02hxv_x)   |
| ...                      | ...                                                     | ...                              |

[Tool]
Got 20 rows and 1 column, showing the first 5 and last 5 rows below:
| lang                            |
| ------------------------------- |
| Bunak Language (fb:m.025t0jp)   |
| English Language (fb:m.02h40lc) |
| Habu Language (fb:m.02hwsld)    |
| Kemak Language (fb:m.02hwtzw)   |
| Makuv'a Language (fb:m.02hwv54) |
| ...                             |
| Idalaka (fb:m.0k97dfx)          |
| Bekais (fb:m.0kc98sf)           |
| Dawan (fb:m.0kc98sk)            |
| Wetarese (fb:m.0kc98sn)         |
| Tetun-Terik (fb:m.0kc98sr)      |

[Tool]
Got 20 rows and 2 columns, showing the first 5 and last 5 rows below:
| lang                            | langLabel             |
| ------------------------------- | --------------------- |
| 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] Stopped generation process