PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?team WHERE {
  fb:m.03yx01 fb:sports.pro_athlete.teams ?roster .
  ?roster fb:sports.sports_team_roster.team ?team .
  ?team fb:common.topic.notable_types fb:m.044801x .
}

Got 2 rows and 1 column:
| team                              |
| --------------------------------- |
| San Francisco 49ers (fb:m.06rny)  |
| Tampa Bay Buccaneers (fb:m.07l24) |

Steve Spurrier played pro football for the San Francisco 49ers and the Tampa Bay Buccaneers.

[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 did steve spurrier play pro football for?

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

[Tool]
Example 1:
Question:
what team did tim tebow play for in college?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0g7km1 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0g7km1 fb:sports.pro_athlete.teams ?y .
  ?y fb:sports.sports_team_roster.team ?x .
  ?x fb:american_football.football_team.division fb:m.031fsz .
}

Using entities:
Division I (NCAA), also known as Division I-A, NCAA Division I (fb:m.031fsz): Division I is the highest level of intercollegiate athletics san...attendance requirements. Another difference is post season play., has type Basketball Division
Tim Tebow, also known as Timmy Tebow, Timothy Richard Tebow (fb:m.0g7km1): Timothy Richard Tebow is an American football quarterback for th...nship game. The Gators again went 13–1 in 2009, his senior year., has type Organization leader

Using properties:
Division (fb:american_football.football_team.division): links to type American football division, part of American football team schema
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

Example 2:
Question:
what team does plaxico burress play for?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.047j_j ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.047j_j fb:sports.pro_athlete.teams ?y .
  ?y fb:sports.sports_team_roster.team ?x .
  FILTER ( NOT EXISTS {
    ?y fb:sports.sports_team_roster.from ?sk0
  }
  || EXISTS {
    ?y fb:sports.sports_team_roster.from ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) <= "2015-08-10" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:sports.sports_team_roster.to ?sk2
  }
  || EXISTS {
    ?y fb:sports.sports_team_roster.to ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) >= "2015-08-10" ^^ xsd:dateTime )
  }
  )
}

Using entities:
Plaxico Burress, also known as Plaxico Antonio Burress (fb:m.047j_j): Plaxico Antonio Burress is a former American football wide recei...the New York Jets. He played college football at Michigan State., has type American football player

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

Example 3:
Question:
who does sam bradford play for?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02qjht0 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02qjht0 fb:sports.pro_athlete.teams ?y .
  ?y fb:sports.sports_team_roster.team ?x .
  FILTER ( NOT EXISTS {
    ?y fb:sports.sports_team_roster.from ?sk0
  }
  || EXISTS {
    ?y fb:sports.sports_team_roster.from ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) <= "2015-08-10" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:sports.sports_team_roster.to ?sk2
  }
  || EXISTS {
    ?y fb:sports.sports_team_roster.to ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) >= "2015-08-10" ^^ xsd:dateTime )
  }
  )
}

Using entities:
Sam Bradford, also known as Samuel Jacob Bradford (fb:m.02qjht0): Samuel Jacob "Sam" Bradford is an American football quarterback ...hich helped earn him the NFL Offensive Rookie of the Year award., has type American football player

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

[Assistant]
The similar examples show that to find the professional teams a player played for, we need:
- The entity for Steve Spurrier.
- The property fb:sports.pro_athlete.teams to get the team rosters.
- The property fb:sports.sports_team_roster.team to get the actual team.

Let's first search for the entity for Steve Spurrier in Freebase.

[Tool]
Top 10 entity alternatives:
1. Steve Spurrier, also known as Stephen Orr Spurrier (fb:m.03yx01): Stephen Orr Spurrier is an American football coach and former pl...ool's first conference championship since 1962 and last to date., has type American football player
2. Steven Spurrier (fb:m.08wp55): Steven Spurrier is a British wine expert and former merchant in ...e, in addition to authoring and co-authoring several wine books., has type Author
3. Steven Spurrier (fb:m.05kd7c): Steven Spurrier was a British artist and painter. Spurrier was b...ondon in 1961. The designer and artist John Benison was his son., has type Visual Artist
4. Steve Spurrier, Jr. (fb:m.0hpcq62): Steve Spurrier, Jr. is the son of Jerri Spurrier and American Football coach Steve Spurrier., has type Person
5. Steven Spurrier (fb:m.075qqbx): This is the fictional character, Steven Spurrier, based on the w...aracter is played by actor Alan Rickman in movie "Bottle Shock"., has type Film character
6. Steve Spurrier 2006-09-02 (fb:m.03qtk2j)
7. Steven Hugh Walthall Spurrier (fb:m.0zfy5p5): Steven Hugh Walthall Spurrier is the father of Christian Spurrier., has type Person
8. Stephen King, also known as The Rock Bottom Remainders, The King of horror, Master of Horror, The King, Steve (fb:m.0jt90f5): Stephen Edwin King is an American author of contemporary horror,... and the Grand Master Award from the Mystery Writers of America., Richard Bachman is a pen name used by horror fiction author Stephen King., has type Author
9. Steve Howe, also known as Stephen James Howe, Yes, Steve, Stephen James "Steve" Howe, Asia (fb:m.02l_7y): Stephen James "Steve" Howe is an English musician and songwriter..., and GTR, as well as having released 19 solo albums as of 2010., has type Musical Artist
10. Steve Angello, also known as Who's Who?, Who's Who, Steven Angello Josefsson Fragogiannis, Steve Josefsson Fragogiannis, Steve Angelo (fb:m.01w5pnq): Steve Angello is a Greek-Swedish disc jockey, record producer an...wedish House Mafia, together with Axwell and Sebastian Ingrosso., has type Musical Artist

[Assistant]
The correct entity for Steve Spurrier, the American football player and coach, is fb:m.03yx01.

Now, I will construct a SPARQL query to find the professional football teams he played for, using the properties from the examples:
- fb:sports.pro_athlete.teams
- fb:sports.sports_team_roster.team

I will also try to get the team labels for better readability, but will keep them optional as per the instructions.

[Tool]
Got 83 rows and 2 columns, showing the first 5 and last 5 rows below:
| team                                  | teamLabel                                                     |
| ------------------------------------- | ------------------------------------------------------------- |
| San Francisco 49ers (fb:m.06rny)      | 49ers de San Francisco (fr)                                   |
| San Francisco 49ers (fb:m.06rny)      | San Francisco 49ers (ca)                                      |
| San Francisco 49ers (fb:m.06rny)      | San Francisco 49ers (cs)                                      |
| San Francisco 49ers (fb:m.06rny)      | San Francisco 49ers (da)                                      |
| San Francisco 49ers (fb:m.06rny)      | San Francisco 49ers (de)                                      |
| ...                                   | ...                                                           |
| Florida Gators football (fb:m.0ftf0f) | Ανδρική ομάδα αμερικανικού ποδοσφαίρου Φλόριντα Γκέιτορς (el) |
| Florida Gators football (fb:m.0ftf0f) | Футбольная команда «Флорида Гаторс» (ru)                      |
| Florida Gators football (fb:m.0ftf0f) | קבוצת פוטבול פלורידה גייטורס (iw)                             |
| Florida Gators football (fb:m.0ftf0f) | フロリダ・ゲーターズ男子フットボール (ja)                                       |
| Florida Gators football (fb:m.0ftf0f) | 佛羅里達短吻鱷美式足球隊 (zh-Hant)                                        |

[Assistant]
The query returned both professional and college teams, as "Florida Gators football" (his college team) is included. To answer the question specifically for pro football, I need to filter for professional teams.

From the similar examples, the property fb:american_football.football_team.division was used to filter for Division I college teams. For pro teams, we need to check for NFL or other professional league affiliations.

Let me check what properties are available for the "San Francisco 49ers" entity (fb:m.06rny), which is a known NFL team, to see if there is a property indicating its professional status or league.

[Tool]
Got 1,023 rows and 3 columns, showing the first 10 rows below:
| subject                          | property                                                            | object                                                                   |
| -------------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| San Francisco 49ers (fb:m.06rny) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| San Francisco 49ers (fb:m.06rny) | Key (fb:type.object.key)                                            | /authority/daylife/topic/061d85F13JbjD                                   |
| San Francisco 49ers (fb:m.06rny) | Name (fb:type.object.name)                                          | 49ers de San Francisco (fr)                                              |
| San Francisco 49ers (fb:m.06rny) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%33%27%46_%41%31%27%46%33%4A%33%43%48_49>  |
| San Francisco 49ers (fb:m.06rny) | Notable for (fb:common.topic.notable_for)                           | fb:g.125621nq1                                                           |
| San Francisco 49ers (fb:m.06rny) | Notable types (fb:common.topic.notable_types)                       | Professional Sports Team (fb:m.044801x)                                  |
| San Francisco 49ers (fb:m.06rny) | Description (fb:common.topic.description)                           | A San Francisco 49ers amerikai f...ak nyugati csoportjában játszik. (hu) |
| San Francisco 49ers (fb:m.06rny) | Article (fb:common.topic.article)                                   | fb:m.06rp6                                                               |
| San Francisco 49ers (fb:m.06rny) | Also known as (fb:common.topic.alias)                               | 49ers (en)                                                               |
| San Francisco 49ers (fb:m.06rny) | Has value (fb:freebase.valuenotation.has_value)                     | Founders (fb:m.02_77l6)                                                  |
| ...                              | ...                                                                 | ...                                                                      |

[Tool]
Got 18 rows and 3 columns, showing the first 10 rows below:
| subject                          | property                   | object                                                                          |
| -------------------------------- | -------------------------- | ------------------------------------------------------------------------------- |
| San Francisco 49ers (fb:m.06rny) | Type (fb:type.object.type) | Topic (fb:common.topic)                                                         |
| San Francisco 49ers (fb:m.06rny) | Type (fb:type.object.type) | Abstract (fb:base.type_ontology.abstract)                                       |
| San Francisco 49ers (fb:m.06rny) | Type (fb:type.object.type) | Inanimate (fb:base.type_ontology.inanimate)                                     |
| San Francisco 49ers (fb:m.06rny) | Type (fb:type.object.type) | Agent (fb:base.type_ontology.agent)                                             |
| San Francisco 49ers (fb:m.06rny) | Type (fb:type.object.type) | Organization (fb:organization.organization)                                     |
| San Francisco 49ers (fb:m.06rny) | Type (fb:type.object.type) | Employer (fb:business.employer)                                                 |
| San Francisco 49ers (fb:m.06rny) | Type (fb:type.object.type) | Award Nominee (fb:award.award_nominee)                                          |
| San Francisco 49ers (fb:m.06rny) | Type (fb:type.object.type) | Award Winner (fb:award.award_winner)                                            |
| San Francisco 49ers (fb:m.06rny) | Type (fb:type.object.type) | Person or entity appearing in film (fb:film.person_or_entity_appearing_in_film) |
| San Francisco 49ers (fb:m.06rny) | Type (fb:type.object.type) | Sports Team (fb:sports.sports_team)                                             |
| ...                              | ...                        | ...                                                                             |

[Tool]
Got 1 row and 3 columns:
| subject                          | property                                      | object                                  |
| -------------------------------- | --------------------------------------------- | --------------------------------------- |
| San Francisco 49ers (fb:m.06rny) | Notable types (fb:common.topic.notable_types) | Professional Sports Team (fb:m.044801x) |

[Tool]
Got 1 row and 3 columns:
| subject                               | property                                      | object                                |
| ------------------------------------- | --------------------------------------------- | ------------------------------------- |
| Florida Gators football (fb:m.0ftf0f) | Notable types (fb:common.topic.notable_types) | American football team (fb:m.01xljyt) |

[Tool]
Got 459 rows and 3 columns, showing the first 10 rows below:
| subject                               | property                                                            | object                                                                   |
| ------------------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Florida Gators football (fb:m.0ftf0f) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Florida Gators football (fb:m.0ftf0f) | Key (fb:type.object.key)                                            | /base/ranker/rankerurlname/florida-gators-football$002F1001523           |
| Florida Gators football (fb:m.0ftf0f) | Name (fb:type.object.name)                                          | Drużyna futbolowa Florida Gators (pl)                                    |
| Florida Gators football (fb:m.0ftf0f) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://de.wikipedia.org/wiki/Florida_Gators_(Football-Team)>            |
| Florida Gators football (fb:m.0ftf0f) | Notable for (fb:common.topic.notable_for)                           | fb:g.125b7g19y                                                           |
| Florida Gators football (fb:m.0ftf0f) | Notable types (fb:common.topic.notable_types)                       | American football team (fb:m.01xljyt)                                    |
| Florida Gators football (fb:m.0ftf0f) | Description (fb:common.topic.description)                           | Die Florida Gators sind ein Coll...n I der Southeastern Conference. (de) |
| Florida Gators football (fb:m.0ftf0f) | Article (fb:common.topic.article)                                   | fb:m.0ftf0l                                                              |
| Florida Gators football (fb:m.0ftf0f) | Also known as (fb:common.topic.alias)                               | Aligátores de Florida - Equipo de fútbol americano (es-419)              |
| Florida Gators football (fb:m.0ftf0f) | Is reviewed (fb:freebase.valuenotation.is_reviewed)                 | Sport (fb:m.025b7ks)                                                     |
| ...                                   | ...                                                                 | ...                                                                      |

[Tool]
Got 10 rows and 3 columns:
| subject                               | property                   | object                                                      |
| ------------------------------------- | -------------------------- | ----------------------------------------------------------- |
| Florida Gators football (fb:m.0ftf0f) | Type (fb:type.object.type) | Topic (fb:common.topic)                                     |
| Florida Gators football (fb:m.0ftf0f) | Type (fb:type.object.type) | Abstract (fb:base.type_ontology.abstract)                   |
| Florida Gators football (fb:m.0ftf0f) | Type (fb:type.object.type) | Inanimate (fb:base.type_ontology.inanimate)                 |
| Florida Gators football (fb:m.0ftf0f) | Type (fb:type.object.type) | Agent (fb:base.type_ontology.agent)                         |
| Florida Gators football (fb:m.0ftf0f) | Type (fb:type.object.type) | Award Nominee (fb:award.award_nominee)                      |
| Florida Gators football (fb:m.0ftf0f) | Type (fb:type.object.type) | Sports Team (fb:sports.sports_team)                         |
| Florida Gators football (fb:m.0ftf0f) | Type (fb:type.object.type) | Topic (fb:base.schemastaging.topic)                         |
| Florida Gators football (fb:m.0ftf0f) | Type (fb:type.object.type) | Sports team extra (fb:base.schemastaging.sports_team_extra) |
| Florida Gators football (fb:m.0ftf0f) | Type (fb:type.object.type) | School sports team (fb:sports.school_sports_team)           |
| Florida Gators football (fb:m.0ftf0f) | Type (fb:type.object.type) | American football team (fb:american_football.football_team) |

[Tool]
Got 4 rows and 3 columns:
| subject                          | property                                 | object       |
| -------------------------------- | ---------------------------------------- | ------------ |
| San Francisco 49ers (fb:m.06rny) | Member of (fb:sports.sports_team.league) | fb:m.0crt4_7 |
| San Francisco 49ers (fb:m.06rny) | Member of (fb:sports.sports_team.league) | fb:m.0crt9bh |
| San Francisco 49ers (fb:m.06rny) | Member of (fb:sports.sports_team.league) | fb:m.0crtfjf |
| San Francisco 49ers (fb:m.06rny) | Member of (fb:sports.sports_team.league) | fb:m.0crtm0h |

[Tool]
Got 1 row and 3 columns:
| subject                               | property                                 | object       |
| ------------------------------------- | ---------------------------------------- | ------------ |
| Florida Gators football (fb:m.0ftf0f) | Member of (fb:sports.sports_team.league) | fb:m.0crt906 |

[Tool]
Got 4 rows and 3 columns:
| subject      | property                                              | object                                                              |
| ------------ | ----------------------------------------------------- | ------------------------------------------------------------------- |
| fb:m.0crt4_7 | Type (fb:type.object.type)                            | Sports league participation (fb:sports.sports_league_participation) |
| fb:m.0crt4_7 | League (fb:sports.sports_league_participation.league) | National Football League (fb:m.059yj)                               |
| fb:m.0crt4_7 | Team (fb:sports.sports_league_participation.team)     | San Francisco 49ers (fb:m.06rny)                                    |
| fb:m.0crt4_7 | rdf:type                                              | Sports league participation (fb:sports.sports_league_participation) |

[Tool]
Got 4 rows and 3 columns:
| subject      | property                                              | object                                                              |
| ------------ | ----------------------------------------------------- | ------------------------------------------------------------------- |
| fb:m.0crt906 | Type (fb:type.object.type)                            | Sports league participation (fb:sports.sports_league_participation) |
| fb:m.0crt906 | League (fb:sports.sports_league_participation.league) | Southeastern Conference (fb:m.0kml_)                                |
| fb:m.0crt906 | Team (fb:sports.sports_league_participation.team)     | Florida Gators football (fb:m.0ftf0f)                               |
| fb:m.0crt906 | rdf:type                                              | Sports league participation (fb:sports.sports_league_participation) |

[Tool]
Got 1,166 rows and 3 columns, showing the first 10 rows below:
| subject                               | property                                                            | object                                                                                |
| ------------------------------------- | ------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------- |
| National Football League (fb:m.059yj) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                                                |
| National Football League (fb:m.059yj) | Key (fb:type.object.key)                                            | /authority/google/google_plus_page/102139249949018843498                                                                      |
| National Football League (fb:m.059yj) | Name (fb:type.object.name)                                          | Liga Nasional Sepak bola Amerika (id)                                                                                |
| National Football League (fb:m.059yj) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%27%44%2F%48%31%4A_%27%44%48%37%46%4A_%44%43%31%29_%27%44%42%2F%45_%27%44%23%45%31%4A%43%4A%29> |
| National Football League (fb:m.059yj) | Notable for (fb:common.topic.notable_for)                           | fb:g.1256y2dh0                                                                                |
| National Football League (fb:m.059yj) | Notable types (fb:common.topic.notable_types)                       | Sports Association (fb:m.025b7ln)                                                                                |
| National Football League (fb:m.059yj) | Description (fb:common.topic.description)                           | A National Football League a leg...i a Pro Bowlon mérkőzhetnek meg. (hu)                                                      |
| National Football League (fb:m.059yj) | Article (fb:common.topic.article)                                   | fb:m.059yv                                                                                |
| National Football League (fb:m.059yj) | Also known as (fb:common.topic.alias)                               | NFL (en)                                                                                |
| National Football League (fb:m.059yj) | Works written (fb:book.author.works_written)                        | The Official 2003 NFL Record & Fact Book (fb:m.06bmd61)                                                                       |
| ...                                   | ...                                                                 | ...                                                                                |

[Tool]
Got 289 rows and 3 columns, showing the first 10 rows below:
| subject                              | property                                                            | object                                                                   |
| ------------------------------------ | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Southeastern Conference (fb:m.0kml_) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Southeastern Conference (fb:m.0kml_) | Key (fb:type.object.key)                                            | /authority/daylife/topic/08w3apA5Ne2zD                                   |
| Southeastern Conference (fb:m.0kml_) | Name (fb:type.object.name)                                          | Conferência Sudeste (pt)                                                 |
| Southeastern Conference (fb:m.0kml_) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://de.wikipedia.org/wiki/index.html?curid=2156383>                  |
| Southeastern Conference (fb:m.0kml_) | Notable for (fb:common.topic.notable_for)                           | fb:g.1256vh6m_                                                           |
| Southeastern Conference (fb:m.0kml_) | Notable types (fb:common.topic.notable_types)                       | Basketball Conference (fb:m.01xrrby)                                     |
| Southeastern Conference (fb:m.0kml_) | Description (fb:common.topic.description)                           | Die Southeastern Conference ist ...s auch in finanzieller Hinsicht. (de) |
| Southeastern Conference (fb:m.0kml_) | Article (fb:common.topic.article)                                   | fb:m.0kmm6                                                               |
| Southeastern Conference (fb:m.0kml_) | Also known as (fb:common.topic.alias)                               | SEC (en)                                                                 |
| Southeastern Conference (fb:m.0kml_) | Web Link(s) (fb:common.topic.webpage)                               | fb:m.04lt33g                                                             |
| ...                                  | ...                                                                 | ...                                                                      |

[Tool]
Top 10 entity alternatives:
1. Tampa Bay Buccaneers, also known as Bucs, The Bucs (fb:m.07l24): The Tampa Bay Buccaneers are a professional American football fr... 1980s, the team suffered through 14 consecutive losing seasons., has type Professional Sports Team
2. 2002 Tampa Bay Buccaneers (fb:m.0w6cbvr): Narrated by Laurence Fishburne. Team Commentary by Warren Sapp, Jon Gruden, and John Lynch., has type TV Episode
3. The Tampa Bay Buccaneers (fb:m.06qr5k_): has type Book
4. The Tampa Bay Buccaneers (fb:m.06bw1lm): has type Book
5. Tampa Bay Buccaneers Cheerleaders (fb:m.0j9mp1w): The Tampa Bay Buccaneers Cheerleaders are the official cheerlead... the squad taught a rugby union squad to play American football.
6. Tampa Bay Buccaneers seasons (fb:m.08rshvt)
7. Tampa Bay Buccaneers Records (fb:m.09gqqnj)
8. Tampa Bay Buccaneers Records (fb:m.026zkbf)
9. 2007 Tampa Bay Buccaneers season (fb:m.02q25q9): The 2007 Tampa Bay Buccaneers season was the 32nd season for the... earned Spurlock the NFC Special Teams Player of the Week award., has type Sports League Season
10. 2008 Tampa Bay Buccaneers season (fb:m.02q26bl): The 2008 Tampa Bay Buccaneers season was the 33rd season for the... not include the team in whose region the game was being played., has type Sports League Season

[Tool]
Got 1 row and 3 columns:
| subject                           | property                                      | object                                  |
| --------------------------------- | --------------------------------------------- | --------------------------------------- |
| Tampa Bay Buccaneers (fb:m.07l24) | Notable types (fb:common.topic.notable_types) | Professional Sports Team (fb:m.044801x) |

[Tool]
Got 3 rows and 3 columns:
| subject                           | property                                 | object       |
| --------------------------------- | ---------------------------------------- | ------------ |
| Tampa Bay Buccaneers (fb:m.07l24) | Member of (fb:sports.sports_team.league) | fb:m.0crt4vt |
| Tampa Bay Buccaneers (fb:m.07l24) | Member of (fb:sports.sports_team.league) | fb:m.0crt98w |
| Tampa Bay Buccaneers (fb:m.07l24) | Member of (fb:sports.sports_team.league) | fb:m.0crtffq |

[Tool]
Got 4 rows and 3 columns:
| subject      | property                                              | object                                                              |
| ------------ | ----------------------------------------------------- | ------------------------------------------------------------------- |
| fb:m.0crt4vt | Type (fb:type.object.type)                            | Sports league participation (fb:sports.sports_league_participation) |
| fb:m.0crt4vt | League (fb:sports.sports_league_participation.league) | National Football League (fb:m.059yj)                               |
| fb:m.0crt4vt | Team (fb:sports.sports_league_participation.team)     | Tampa Bay Buccaneers (fb:m.07l24)                                   |
| fb:m.0crt4vt | rdf:type                                              | Sports league participation (fb:sports.sports_league_participation) |

[Assistant]
From the above, we see that "Professional Sports Team" (fb:m.044801x) is a distinguishing type for pro teams, and both the San Francisco 49ers and Tampa Bay Buccaneers have this type and are members of the National Football League (NFL).

The Florida Gators football team, on the other hand, is a "School sports team" and not a "Professional Sports Team".

Therefore, to answer the question, I will filter the teams Steve Spurrier played for to only those with the notable type "Professional Sports Team" (fb:m.044801x).

Here is the final SPARQL query.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?wife WHERE {
  fb:m.0cm83 fb:people.person.spouse_s ?marriage .
  ?marriage fb:people.marriage.spouse ?wife .
  ?wife fb:people.person.gender fb:m.02zsn .
}

The wife of King George VI was Queen Elizabeth The Queen Mother (IRI: fb:m.0cm63).

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

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

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

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

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

[User] what is the name of king george vi wife?

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

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

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

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

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

Example 2:
Question:
who was the wife of king edward vii?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0cm03 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0cm03 fb:people.person.spouse_s ?y .
  ?y fb:people.marriage.spouse ?x .
  ?x fb:people.person.gender fb:m.02zsn .
}

Using entities:
Female, also known as Women, Woman, Girl, Gal, Dame (fb:m.02zsn): Female (♀) is the sex of an organism, or a part of an organism, ...esis). Some organisms can reproduce both sexually and asexually., Female is the sex of an organism, or a part of an organism, that...female mammals, including female humans, have two X chromosomes., has type Literature Subject
Edward VII (fb:m.0cm03): Edward VII was King of the United Kingdom and the British Domini... and broadened the range of people with whom royalty socialised., has type Monarch

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

Example 3:
Question:
who was king george v father?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0cmpn ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0cmpn fb:people.person.parents ?x .
  ?x fb:people.person.gender fb:m.05zppz .
}

Using entities:
Male, also known as Men, Man, Guy, Dude, Boy (fb:m.05zppz): A male organism is the physiological sex that produces sperm. Ea... sex depending on the number of females present in the vicinity., has type Risk Factor
George V, also known as George Frederick Ernest Albert, Prince of Wales, George Frederick Ernest Albert Wettin (fb:m.0cmpn): George V was King of the United Kingdom and the British Dominion...xe-Coburg and Gotha as a result of anti-German public sentiment., has type Monarch

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

[Assistant]
From the similar example about "who was the wife of king edward vii?", I see that:

- The entity for King George VI is fb:m.0cm83.
- The property for spouse is fb:people.person.spouse_s, which links to a Marriage node.
- The property fb:people.marriage.spouse links the Marriage node to the spouse.
- To ensure we get the wife, we filter for gender fb:m.02zsn (female).
- To get the name, we can use rdfs:label.

Let's construct a SPARQL query to find the wife of King George VI, returning her IRI and optionally her label.

[Tool]
Got 37 rows and 2 columns, showing the first 5 and last 5 rows below:
| wife                                          | wifeLabel                              |
| --------------------------------------------- | -------------------------------------- |
| Queen Elizabeth The Queen Mother (fb:m.0cm63) | Alžbeta, kráľovná matka (sk)           |
| Queen Elizabeth The Queen Mother (fb:m.0cm63) | Bowes-Lyon Erzsébet brit királyné (hu) |
| Queen Elizabeth The Queen Mother (fb:m.0cm63) | Elisabet (fi)                          |
| Queen Elizabeth The Queen Mother (fb:m.0cm63) | Elisabet Bowes-Lyon (ca)               |
| Queen Elizabeth The Queen Mother (fb:m.0cm63) | Elizabete Bousa-Laiona (lv)            |
| ...                                           | ...                                    |
| Queen Elizabeth The Queen Mother (fb:m.0cm63) | เอลิซาเบธ โบวส์-ลีออน (th)             |
| Queen Elizabeth The Queen Mother (fb:m.0cm63) | 엘리자베스 보우스라이언 (ko)                      |
| Queen Elizabeth The Queen Mother (fb:m.0cm63) | エリザベス・ボーズ＝ライアン (ja)                    |
| Queen Elizabeth The Queen Mother (fb:m.0cm63) | 伊丽莎白·鲍斯-莱昂 (zh)                        |
| Queen Elizabeth The Queen Mother (fb:m.0cm63) | 伊麗莎白·鮑斯-萊昂 (zh-Hant)                   |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?profession ?label WHERE {
  fb:m.02g3w fb:people.person.profession ?profession .
  OPTIONAL {
    ?profession rdfs:label ?label .
    FILTER ( lang( ?label ) = 'en' )
  }
}

Got 11 rows and 2 columns, showing the first 5 and last 5 rows below:
| profession                        | label                    |
| --------------------------------- | ------------------------ |
| Animator (fb:m.015h31)            | Animator (en)            |
| Cartoonist (fb:m.0196pc)          | Cartoonist (en)          |
| Film Producer (fb:m.01d_h8)       | Film Producer (en)       |
| Illustrator (fb:m.020xn5)         | Illustrator (en)         |
| Television producer (fb:m.03gjzk) | Television producer (en) |
| ...                               | ...                      |
| Poet (fb:m.05z96)                 | Poet (en)                |
| Writer (fb:m.0cbd2)               | Writer (en)              |
| Screenwriter (fb:m.0dxtg)         | Screenwriter (en)        |
| Artist (fb:m.0n1h)                | Artist (en)              |
| Songwriter (fb:m.0nbcg)           | Songwriter (en)          |

Dr. Seuss (Theodor Seuss Geisel) was an animator, cartoonist, film producer, illustrator, television producer, poet, writer, screenwriter, artist, and songwriter.

[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 dr. seuss do?

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

[Tool]
Example 1:
Question:
what was the title of the first book dr. seuss wrote?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02g3w ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02g3w fb:book.author.works_written ?x .
  ?x fb:common.topic.notable_types fb:m.01xryvm .
  ?x fb:book.written_work.copyright_date ?sk0 .
}
ORDER BY xsd:datetime ( ?sk0 )
LIMIT 1

Using entities:
Book (fb:m.01xryvm): A book is a written work or a collection of written works in boo...For more information, please see the Freebase wiki page on book.
Theodore Lesieg, also known as Theodore Sieg, Theodor Geisel, Theodor Seuss Geisel, Theodor S. Geisel, Theo LeSieg (fb:m.02g3w): Theodor Seuss Geisel was an American writer and illustrator best... which later won the 1947 Academy Award for Documentary Feature., has type Author

Using properties:
Works written (fb:book.author.works_written): links to type Written Work, part of Author schema
Copyright date (fb:book.written_work.copyright_date): part of Written Work schema, links to type Date/Time
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type

Example 2:
Question:
where did dr seuss go to school?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02g3w ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02g3w fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
}

Using entities:
Theodore Lesieg, also known as Theodore Sieg, Theodor Geisel, Theodor Seuss Geisel, Theodor S. Geisel, Theo LeSieg (fb:m.02g3w): Theodor Seuss Geisel was an American writer and illustrator best... which later won the 1947 Academy Award for Documentary Feature., has type Author

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 did einstein do?

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

Using entities:
Albert Einstein, also known as Einstein (fb:m.0jcx): Albert Einstein was a German-born theoretical physicist. He deve...his explanations of particle theory and the motion of molecules., has type Academic

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

[Assistant]
From the similar examples, it looks like the property fb:people.person.profession is used to answer "what did [person] do?" questions, returning their professions. For Dr. Seuss, the entity is fb:m.02g3w.

I will construct a SPARQL query to retrieve Dr. Seuss's professions, and also optionally include their labels for clarity.

[Tool]
Got 486 rows and 2 columns, showing the first 5 and last 5 rows below:
| profession              | profession_label  |
| ----------------------- | ----------------- |
| Animator (fb:m.015h31)  | Animaator (et)    |
| Animator (fb:m.015h31)  | Animaattori (fi)  |
| Animator (fb:m.015h31)  | Animador (ca)     |
| Animator (fb:m.015h31)  | Animador (es)     |
| Animator (fb:m.015h31)  | Animador (es-419) |
| ...                     | ...               |
| Songwriter (fb:m.0nbcg) | นักแต่งเพลง (th)  |
| Songwriter (fb:m.0nbcg) | 송라이터 (ko)         |
| Songwriter (fb:m.0nbcg) | ソングライター (ja)      |
| Songwriter (fb:m.0nbcg) | 歌曲作家 (zh)         |
| Songwriter (fb:m.0nbcg) | 歌曲創作者 (zh-Hant)   |

[Tool]
Got 11 rows and 1 column, showing the first 5 and last 5 rows below:
| profession                        |
| --------------------------------- |
| Animator (fb:m.015h31)            |
| Cartoonist (fb:m.0196pc)          |
| Film Producer (fb:m.01d_h8)       |
| Illustrator (fb:m.020xn5)         |
| Television producer (fb:m.03gjzk) |
| ...                               |
| Poet (fb:m.05z96)                 |
| Writer (fb:m.0cbd2)               |
| Screenwriter (fb:m.0dxtg)         |
| Artist (fb:m.0n1h)                |
| Songwriter (fb:m.0nbcg)           |

[Tool]
Got 11 rows and 2 columns, showing the first 5 and last 5 rows below:
| profession                        | label                    |
| --------------------------------- | ------------------------ |
| Animator (fb:m.015h31)            | Animator (en)            |
| Cartoonist (fb:m.0196pc)          | Cartoonist (en)          |
| Film Producer (fb:m.01d_h8)       | Film Producer (en)       |
| Illustrator (fb:m.020xn5)         | Illustrator (en)         |
| Television producer (fb:m.03gjzk) | Television producer (en) |
| ...                               | ...                      |
| Poet (fb:m.05z96)                 | Poet (en)                |
| Writer (fb:m.0cbd2)               | Writer (en)              |
| Screenwriter (fb:m.0dxtg)         | Screenwriter (en)        |
| Artist (fb:m.0n1h)                | Artist (en)              |
| Songwriter (fb:m.0nbcg)           | Songwriter (en)          |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?iceplex ?lat ?long ?label WHERE {
  BIND( fb:m.0g5r_z_ AS ?iceplex ) OPTIONAL {
    ?iceplex rdfs:label ?label
  }
  ?iceplex fb:location.location.geolocation ?geo .
  ?geo fb:location.geocode.latitude ?lat .
  ?geo fb:location.geocode.longitude ?long .
}

The MTS Iceplex in Winnipeg is located at latitude 49.885556 and longitude -97.328056.

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

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

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

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

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

[User] where is the mts iceplex in winnipeg?

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

[Tool] No examples found

[Assistant]
No similar examples were found, so I will proceed step by step.

First, I need to identify the entity for "MTS Iceplex" in Freebase. I'll search for "MTS Iceplex".

[Tool]
Top 10 entity alternatives:
1. MTS Iceplex (fb:m.0g5r_z_): The MTS Iceplex and Hockey Canada Centre of Excellence is an ice... League use the Iceplex as their practice and training facility., has type Venue
2. MTS, also known as Mobile Telesystems Ojsc, MTC (fb:m.040lw5): MTS is the largest mobile operator in Russia and CIS with over 1... and began expansion, later entering other countries of the CIS., Mobile Telesystems Ojsc is a Telecom company., has type Business Operation
3. Ometz, Israel, also known as אומץ, אמץ (fb:m.04cy6wq): Ometz is a moshav in central Israel. Located in the coastal plai...; the second is that is an acronym for Irgun Mishuhrarei Tzahal., has type City/Town/Village
4. MTS, also known as MTS (fb:m.0f9kcvg): has type Musical Group
5. MTS, also known as M.T.S. (fb:m.01p5s3w): has type Musical Group
6. MTS (fb:m.011v8jth): MTS was a Eurodance project formed in Canada. The project consis...ing Under Hot 100 Singles. In 1997 they released a studio album.
7. MTS (fb:m.0tnrlg6): has type Musical Recording
8. mts (fb:m.042zv3q): Used for AVCHD filesWhat is AVCHD?AVCHD (Advanced Video Codec Hi...eld video camera recording formats, particularly HDV and MiniDV., has type File Format
9. MTS (fb:m.0h00s_j)
10. MTS (fb:m.0tnyl14)

[Assistant] The top result, "MTS Iceplex" (fb:m.0g5r_z_), is the correct entity. Now, I need to find its location. I'll look for properties related to location for this entity.

[Tool]
Top 10 property alternatives:
1. Name (fb:type.object.name): part of Object schema, links to type Text
2. Home venue for (fb:sports.sports_facility.home_venue_for): links to type Team/venue relationship, part of Sports Facility schema
3. Description (fb:common.topic.description): part of Topic schema, links to type Text
4. Geolocation (fb:location.location.geolocation): part of Location schema, links to type Geocode
5. Key (fb:type.object.key): part of Object schema, links to type Key
6. Teams (fb:sports.sports_facility.teams): part of Sports Facility schema, links to type Sports Team
7. Article (fb:common.topic.article): links to type Document, part of Topic schema
8. Opened (fb:architecture.structure.opened): part of Structure schema, links to type Date/Time
9. Type (fb:type.object.type): part of Object schema, links to type Type
10. Contained by (fb:location.location.containedby): part of Location schema, links to type Location

No other items found

[Assistant] The property "Geolocation" (fb:location.location.geolocation) is likely to provide the coordinates, and "Contained by" (fb:location.location.containedby) may provide the enclosing location (such as city). I will list the triples for MTS Iceplex with these properties to see what information is available.

[Tool]
Got 49 rows and 3 columns, showing the first 10 rows below:
| subject                    | property                                                            | object                                                                   |
| -------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| MTS Iceplex (fb:m.0g5r_z_) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| MTS Iceplex (fb:m.0g5r_z_) | Key (fb:type.object.key)                                            | /wikipedia/en/Assiniboine_Credit_Union_Arena                             |
| MTS Iceplex (fb:m.0g5r_z_) | Name (fb:type.object.name)                                          | MTS Iceplex (en)                                                         |
| MTS Iceplex (fb:m.0g5r_z_) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://en.wikipedia.org/wiki/index.html?curid=30350817>                 |
| MTS Iceplex (fb:m.0g5r_z_) | Notable for (fb:common.topic.notable_for)                           | fb:g.125b420ty                                                           |
| MTS Iceplex (fb:m.0g5r_z_) | Notable types (fb:common.topic.notable_types)                       | Venue (fb:m.0hn6bxg)                                                     |
| MTS Iceplex (fb:m.0g5r_z_) | Description (fb:common.topic.description)                           | The MTS Iceplex and Hockey Canad... practice and training facility. (en) |
| MTS Iceplex (fb:m.0g5r_z_) | Article (fb:common.topic.article)                                   | fb:m.0g5r__3                                                             |
| MTS Iceplex (fb:m.0g5r_z_) | Contained by (fb:location.location.containedby)                     | Winnipeg (fb:m.0pmq2)                                                    |
| MTS Iceplex (fb:m.0g5r_z_) | Geolocation (fb:location.location.geolocation)                      | fb:m.0wmrszd                                                             |
| ...                        | ...                                                                 | ...                                                                      |

[Tool]
Got 4 rows and 3 columns:
| subject      | property                                  | object                        |
| ------------ | ----------------------------------------- | ----------------------------- |
| fb:m.0wmrszd | Type (fb:type.object.type)                | Geocode (fb:location.geocode) |
| fb:m.0wmrszd | Latitude (fb:location.geocode.latitude)   | 49.885556                     |
| fb:m.0wmrszd | Longitude (fb:location.geocode.longitude) | -97.328056                    |
| fb:m.0wmrszd | rdf:type                                  | Geocode (fb:location.geocode) |

[Tool]
Got 2,050 rows and 3 columns, showing the first 10 rows below:
| subject               | property                                                            | object                                                                    |
| --------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------- |
| Winnipeg (fb:m.0pmq2) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                   |
| Winnipeg (fb:m.0pmq2) | Key (fb:type.object.key)                                            | /authority/daylife/topic/0b7a3YG5fe9r8                                    |
| Winnipeg (fb:m.0pmq2) | Name (fb:type.object.name)                                          | Vinipega (lv)                                                             |
| Winnipeg (fb:m.0pmq2) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%48%4A%46%4A%28%4A%3A>                      |
| Winnipeg (fb:m.0pmq2) | Notable for (fb:common.topic.notable_for)                           | fb:g.125byfm62                                                            |
| Winnipeg (fb:m.0pmq2) | Notable types (fb:common.topic.notable_types)                       | City/Town/Village (fb:m.01m9)                                             |
| Winnipeg (fb:m.0pmq2) | Description (fb:common.topic.description)                           | Ang Lungsod ng Winnipeg ay ang k...a ng Manitoba sa bansang Canada. (fil) |
| Winnipeg (fb:m.0pmq2) | Article (fb:common.topic.article)                                   | fb:m.0pmqd                                                                |
| Winnipeg (fb:m.0pmq2) | Also known as (fb:common.topic.alias)                               | Gateway to the West (en)                                                  |
| Winnipeg (fb:m.0pmq2) | Contained by (fb:location.location.containedby)                     | Canada (fb:m.0d060g)                                                      |
| ...                   | ...                                                                 | ...                                                                       |

[Assistant]
I have found the following information:
- The MTS Iceplex (fb:m.0g5r_z_) is contained by Winnipeg (fb:m.0pmq2).
- Its geolocation is given by fb:m.0wmrszd, which has latitude 49.885556 and longitude -97.328056.

Now, I'll construct a SPARQL query that returns the IRI for the MTS Iceplex, its latitude, longitude, and optionally its label.

[Tool] Stopped generation process