PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?continent ?continentLabel WHERE {
  fb:m.0169t fb:base.locations.countries.continent ?continent .
  OPTIONAL {
    ?continent rdfs:label ?continentLabel
  }
}

Got 42 rows and 2 columns, showing the first 5 and last 5 rows below:
| continent            | continentLabel   |
| -------------------- | ---------------- |
| Africa (fb:m.0dg3n1) | Aafrika (et)     |
| Africa (fb:m.0dg3n1) | Africa (en)      |
| Africa (fb:m.0dg3n1) | Africa (it)      |
| Africa (fb:m.0dg3n1) | Africa (ro)      |
| Africa (fb:m.0dg3n1) | África (es)      |
| ...                  | ...              |
| Africa (fb:m.0dg3n1) | ทวีปแอฟริกา (th) |
| Africa (fb:m.0dg3n1) | 아프리카 (ko)        |
| Africa (fb:m.0dg3n1) | アフリカ (ja)        |
| Africa (fb:m.0dg3n1) | 非洲 (zh)          |
| Africa (fb:m.0dg3n1) | 非洲 (zh-Hant)     |

Burundi is located in the continent of Africa.

[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 burundi country?

[Assistant] The user is asking for the location of the country Burundi. To answer this, I need to find the entity for Burundi in the knowledge graph and then find the property that indicates its location or geographic information. I will start by searching for the entity "Burundi" in the freebase knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Burundi (fb:m.0169t): Burundi, officially the Republic of Burundi, is a landlocked cou... in the establishment of a republic and one-party state in 1966., has type Country
2. Seren Waters, also known as Burundi, Seren Robert Waters (fb:m.04yfkhp): Seren Robert Waters is a cricketer who plays for Surrey and Keny...ainst South Africa at Kimberley in a full One Day International., has type Cricket Bowler
3. Burundi (fb:m.039d60y): has type Musical Release
4. Burundi (fb:m.015c1vt): has type Musical Recording
5. Burundi (fb:m.0c7btbk): has type Book Edition
6. Burundi (fb:m.0nnhg05): has type Musical Recording
7. Burundi (fb:m.0bb40pw): has type Composition
8. Burundi (fb:m.0f3whw3): has type Musical Recording
9. Burundi (fb:m.0wt5h4j): has type Musical Recording
10. Burundi (fb:g.122dshxc): has type Musical Album

[Assistant] I found the entity for Burundi as a country with the identifier fb:m.0169t. Now I need to find the property that indicates the location or geographic information of this country. I will search for properties of the entity Burundi related to location or geography.

[Tool]
Top 10 property alternatives:
1. Area (fb:location.location.area): links to type Floating Point Number, part of Location schema
2. Name (fb:type.object.name): part of Object schema, links to type Text
3. Continent (fb:base.locations.countries.continent): links to type Continents, part of Countries schema
4. Description (fb:common.topic.description): part of Topic schema, links to type Text
5. Geolocation (fb:location.location.geolocation): part of Location schema, links to type Geocode
6. Key (fb:type.object.key): part of Object schema, links to type Key
7. entry (fb:user.tsegaran.random.taxonomy_subject.entry): part of Taxonomy Subject schema, links to type Taxonomy Entry
8. Teams (fb:sports.sports_team_location.teams): part of Sports Team Location schema, links to type Sports Team
9. Article (fb:common.topic.article): links to type Document, part of Topic schema
10. Member of (fb:organization.organization_member.member_of): links to type Organization membership, part of Organization member schema

No other items found

[Assistant]
The properties related to location for Burundi include:
- Area (fb:location.location.area)
- Continent (fb:base.locations.countries.continent)
- Geolocation (fb:location.location.geolocation)

To answer the question "Where is Burundi country?" the most relevant property would be the continent or geolocation. I will check the continent of Burundi first.

[Tool]
Got 42 rows and 2 columns, showing the first 5 and last 5 rows below:
| continent            | continentLabel   |
| -------------------- | ---------------- |
| Africa (fb:m.0dg3n1) | Aafrika (et)     |
| Africa (fb:m.0dg3n1) | Africa (en)      |
| Africa (fb:m.0dg3n1) | Africa (it)      |
| Africa (fb:m.0dg3n1) | Africa (ro)      |
| Africa (fb:m.0dg3n1) | África (es)      |
| ...                  | ...              |
| Africa (fb:m.0dg3n1) | ทวีปแอฟริกา (th) |
| Africa (fb:m.0dg3n1) | 아프리카 (ko)        |
| Africa (fb:m.0dg3n1) | アフリカ (ja)        |
| Africa (fb:m.0dg3n1) | 非洲 (zh)          |
| Africa (fb:m.0dg3n1) | 非洲 (zh-Hant)     |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the continent of Burundi using the property linking countries to continents. The query returns the continent's identifier and labels in multiple languages, which is useful for understanding. The answer "Burundi is located in the continent of Africa" is accurate and complete for the question asked. No further refinement is necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?coach ?coachName WHERE {
  fb:m.01y3c fb:sports.sports_team.coaches ?coachTenure .
  ?coachTenure fb:sports.sports_team_coach_tenure.coach ?coach .
  OPTIONAL {
    ?coach rdfs:label ?coachName FILTER ( LANG( ?coachName ) = "en" )
  }
}

The Carolina Panthers have been coached by John Fox according to the data available in Freebase.

[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 has coached the carolina panthers?

[Assistant]
To answer the question "Who has coached the Carolina Panthers?", I need to identify the entity for the Carolina Panthers and then find the property related to coaching or head coach associated with that entity.

Step 1: Search for the entity "Carolina Panthers" in the Freebase knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Carolina Panthers (fb:m.01y3c): The Carolina Panthers are a professional American football club ..., one of them in the NFC West and four of them in the NFC South., has type Professional Sports Team
2. The Carolina Panthers (fb:m.06q1sd2): has type Book
3. The Carolina Panthers (fb:m.06jvjz0): has type Book
4. The Carolina Panthers (fb:m.06f1pmq): has type Book
5. Carolina Panthers Helmet (fb:m.02kzw_6)
6. Carolina Panthers seasons (fb:m.08sq789)
7. 2010 Carolina Panthers season (fb:m.09v1910): The 2010 Carolina Panthers season is the franchise's 16th season...ach John Fox and his entire coaching staff would not be renewed.
8. 2015 Carolina Panthers season (fb:m.012hfrq3): The 2015 Carolina Panthers season will be the franchise's upcomi...n the team's history they will play on Thanksgiving this season.
9. 2014 Carolina Panthers season (fb:m.0zrn8b0): The 2014 Carolina Panthers season was the franchise's 20th seaso...round, but lost to the Seattle Seahawks in the Divisional round.
10. 2012 Carolina Panthers season (fb:m.0hzpgwn): The 2012 Carolina Panthers season was the franchise's 18th seaso...on Facebook to make the call, but the vote ended in a 50/50 tie.

[Assistant] The entity "Carolina Panthers" with the identifier fb:m.01y3c represents the professional American football club Carolina Panthers. Next, I will search for properties related to coaching or head coach for this entity to find who has coached the Carolina Panthers.

[Tool]
Top 10 property alternatives:
1. Coaches (fb:sports.sports_team.coaches): links to type Sports team coach tenure, part of Sports Team schema
2. Current head coach (fb:american_football.football_team.current_head_coach): links to type American football head coach, part of American football team schema
3. Historical coaching staff (fb:american_football.football_team.historical_coaching_staff): links to type American football historical coach position, part of American football team schema
4. Sport (fb:sports.sports_team.sport): part of Sports Team schema, links to type Sport
5. Position (fb:user.szaijan.fantasy_football.player.position): links to type Position, part of Player schema
6. Sports Team Location (fb:sports.sports_team.location): links to type Sports Team Location, part of Sports Team schema
7. Roster (fb:sports.sports_team.roster): links to type Sports team roster, part of Sports Team schema
8. Championships (fb:sports.sports_team.championships): links to type Sports League Championship Event, part of Sports Team schema
9. Season Record (fb:sports.sports_team.season_record): links to type Sports Team Season Record, part of Sports Team schema
10. Name (fb:type.object.name): part of Object schema, links to type Text

No other items found

[Assistant]
There are relevant properties related to coaching for the Carolina Panthers entity:
- Coaches (fb:sports.sports_team.coaches) which links to Sports team coach tenure
- Current head coach (fb:american_football.football_team.current_head_coach)
- Historical coaching staff (fb:american_football.football_team.historical_coaching_staff)

To find who has coached the Carolina Panthers, I will query the coaches property to get the coaches associated with the team.

[Tool]
Got 1 row and 2 columns:
| coach                  | coachName     |
| ---------------------- | ------------- |
| John Fox (fb:m.06_73l) | John Fox (en) |

[Assistant] The query returned one coach, John Fox, who has coached the Carolina Panthers. To ensure completeness, I will also check the historical coaching staff property to see if there are other coaches listed.

[Tool] Got no rows and 2 columns

[Assistant] There are no additional coaches listed under the historical coaching staff property for the Carolina Panthers. The only coach found is John Fox. I will now provide the final answer with this information.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the coaches of the Carolina Panthers by accessing the coach tenure information and linking to the coach entity. The query also optionally retrieves the English label of the coach, which is useful for human-readable output. The result correctly identifies John Fox as a coach of the Carolina Panthers according to Freebase data. The query and answer are accurate and complete for the question asked.


PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?championshipLabel ?year WHERE {
  fb:m.01ct6 fb:sports.sports_team.championships ?championship .
  ?championship rdfs:label ?championshipLabel .
  FILTER ( LANG( ?championshipLabel ) = "en" ) FILTER ( CONTAINS( LCASE( ?championshipLabel ) , "super bowl" ) ) OPTIONAL {
    ?championship fb:time.event.start_date ?startDate .
    BIND( YEAR( xsd:dateTime ( ?startDate ) ) AS ?year )
  }
  OPTIONAL {
    ?championship fb:sports.sports_league_championship_event.season_year ?seasonYear .
    BIND( ?seasonYear AS ?year )
  }
}

Got 2 rows and 2 columns:
| championshipLabel     | year           |
| --------------------- | -------------- |
| Super Bowl XLVII (en) | 2013 (xsd:int) |
| Super Bowl XXXV (en)  | 2001 (xsd:int) |

The Baltimore Ravens won the Super Bowl in the years 2001 (Super Bowl XXXV) and 2013 (Super Bowl XLVII).

[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 year did the baltimore ravens win superbowl?

[Assistant] To answer the question about the year the Baltimore Ravens won the Super Bowl, I will first search for the entity "Baltimore Ravens" in the Freebase knowledge graph. Then, I will look for properties related to Super Bowl wins or championships associated with this entity. Finally, I will construct a SPARQL query to retrieve the year(s) when the Baltimore Ravens won the Super Bowl.

[Tool]
Top 10 entity alternatives:
1. Baltimore Ravens (fb:m.01ct6): The Baltimore Ravens are a professional American football team i...NFL to hold a perfect record in multiple Super Bowl appearances., has type American football team
2. Baltimore Ravens (fb:m.02kzwyh)
3. Poe, also known as Baltimore Ravens Poe (fb:m.052tmyg): Poe is the mascot of the Baltimore Ravens of the National Footba...famous writer and Baltimore, Maryland resident, Edgar Allan Poe., Poe is the mascot of the Baltimore Ravens., has type Mascot
4. 2000 Baltimore Ravens (fb:m.0w6cbv3): Narrated by Alec Baldwin. Team Commentary by Brian Billick, Trent Dilfer, and Ray Lewis., has type TV Episode
5. 2012 Baltimore Ravens (fb:m.0w6ccc9): Super Bowl MVP Joe Flacco, Linebacker Ray Lewis & Head Coach Joh...“We weren’t pretty. We weren’t perfect… But at least we were us., has type TV Episode
6. The Baltimore Ravens (fb:m.06b9l67): has type Book
7. Baltimore Ravens Cheerleaders (fb:m.0j9nntx): The Baltimore Ravens Cheerleaders are a cheerleading and dance s...e a promotional squad known as, The Baltimore Ravens Playmakers.
8. Conquer, also known as Baltimore Ravens Conquer (fb:m.0qg1c72): has type Mascot
9. Rise, also known as Baltimore Ravens Rise (fb:m.0nz45zc): has type Mascot
10. Baltimore Ravens seasons (fb:m.08sq7zr)

[Assistant] I found the entity "Baltimore Ravens" with the Freebase ID fb:m.01ct6 which represents the professional American football team. Next, I will search for properties related to Super Bowl wins or championships for this entity. I will search for properties related to "Super Bowl" or "championship" for the Baltimore Ravens entity.

[Tool]
Top 10 property alternatives:
1. Sport (fb:sports.sports_team.sport): part of Sports Team schema, links to type Sport
2. Arena/Stadium (fb:sports.sports_team.arena_stadium): links to type Sports Facility, part of Sports Team schema
3. Sports Team Location (fb:sports.sports_team.location): links to type Sports Team Location, part of Sports Team schema
4. Home Games (fb:american_football.football_team.home_games): part of American football team schema, links to type American football game
5. Championships (fb:sports.sports_team.championships): links to type Sports League Championship Event, part of Sports Team schema
6. Fight song (fb:sports.sports_team.fight_song): part of Sports Team schema, links to type Fight song
7. Away Games (fb:american_football.football_team.away_games): part of American football team schema, links to type American football game
8. Key (fb:type.object.key): part of Object schema, links to type Key
9. Venue (fb:sports.sports_team.venue): links to type Team/venue relationship, part of Sports Team schema
10. Roster (fb:sports.sports_team.roster): links to type Sports team roster, part of Sports Team schema

No other items found

[Assistant] The property "Championships" (fb:sports.sports_team.championships) seems to be the relevant property for finding the championships won by the Baltimore Ravens. I will now construct a SPARQL query to retrieve the championships of the Baltimore Ravens and specifically look for the Super Bowl wins and their corresponding years.

[Tool]
Got 2 rows and 3 columns:
| championship                    | championshipLabel     | year |
| ------------------------------- | --------------------- | ---- |
| Super Bowl XLVII (fb:m.0642vqv) | Super Bowl XLVII (en) |      |
| Super Bowl XXXV (fb:m.076yq)    | Super Bowl XXXV (en)  |      |

[Assistant] The Baltimore Ravens won the Super Bowl in two instances: Super Bowl XXXV and Super Bowl XLVII. However, the years of these Super Bowl wins are not directly provided in the results. I will now try to find the years for these specific Super Bowl events. I will query the years for Super Bowl XXXV and Super Bowl XLVII.

[Tool]
Got 2 rows and 3 columns:
| event                           | eventLabel            | year |
| ------------------------------- | --------------------- | ---- |
| Super Bowl XLVII (fb:m.0642vqv) | Super Bowl XLVII (en) |      |
| Super Bowl XXXV (fb:m.076yq)    | Super Bowl XXXV (en)  |      |

[Assistant] The years for the Super Bowl events XLVII and XXXV are still not provided in the data. I will try to find the date or year of these events using a different property related to date or year for these Super Bowl events. I will list properties of one of the Super Bowl events (e.g., Super Bowl XLVII) to find a suitable property for the year or date.

[Tool]
Got 327 rows and 3 columns, showing the first 10 rows below:
| subject                         | property                                                            | object                                                                   |
| ------------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Super Bowl XLVII (fb:m.0642vqv) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Super Bowl XLVII (fb:m.0642vqv) | Key (fb:type.object.key)                                            | /en/super_bowl_xlvii                                                     |
| Super Bowl XLVII (fb:m.0642vqv) | Name (fb:type.object.name)                                          | Super Bowl XLVII (de)                                                    |
| Super Bowl XLVII (fb:m.0642vqv) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://de.wikipedia.org/wiki/index.html?curid=5988403>                  |
| Super Bowl XLVII (fb:m.0642vqv) | Notable for (fb:common.topic.notable_for)                           | fb:g.126t0zgjk                                                           |
| Super Bowl XLVII (fb:m.0642vqv) | Notable types (fb:common.topic.notable_types)                       | Sports League Championship Event (fb:m.025b7q2)                          |
| Super Bowl XLVII (fb:m.0642vqv) | Description (fb:common.topic.description)                           | A Super Bowl XLVII a 2012-es NFL... XXXVIII-on a himnuszt énekelte. (hu) |
| Super Bowl XLVII (fb:m.0642vqv) | Article (fb:common.topic.article)                                   | fb:m.0642vqz                                                             |
| Super Bowl XLVII (fb:m.0642vqv) | Also known as (fb:common.topic.alias)                               | Super Bowl 2013 (en)                                                     |
| Super Bowl XLVII (fb:m.0642vqv) | Is reviewed (fb:freebase.valuenotation.is_reviewed)                 | Location(s) (fb:m.02yxmnn)                                               |
| ...                             | ...                                                                 | ...                                                                      |

[Assistant] I found that Super Bowl XLVII has an alias "Super Bowl 2013" which indicates the year 2013. I will now check similarly for Super Bowl XXXV to find its year or alias that might indicate the year.

[Tool]
Got 212 rows and 3 columns, showing the first 10 rows below:
| subject                      | property                                                            | object                                                                   |
| ---------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Super Bowl XXXV (fb:m.076yq) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Super Bowl XXXV (fb:m.076yq) | Key (fb:type.object.key)                                            | /en/super_bowl_xxxv                                                      |
| Super Bowl XXXV (fb:m.076yq) | Name (fb:type.object.name)                                          | Super Bowl XXXV (da)                                                     |
| Super Bowl XXXV (fb:m.076yq) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://da.wikipedia.org/wiki/index.html?curid=294034>                   |
| Super Bowl XXXV (fb:m.076yq) | Notable for (fb:common.topic.notable_for)                           | fb:g.1256kt6z4                                                           |
| Super Bowl XXXV (fb:m.076yq) | Notable types (fb:common.topic.notable_types)                       | Super bowl (fb:m.01xljv1)                                                |
| Super Bowl XXXV (fb:m.076yq) | Description (fb:common.topic.description)                           | A Super Bowl XXXV a 2000-es NFL-...őzést a Baltimore Ravens nyerte. (hu) |
| Super Bowl XXXV (fb:m.076yq) | Article (fb:common.topic.article)                                   | fb:m.076yw                                                               |
| Super Bowl XXXV (fb:m.076yq) | Pronunciation (fb:base.schemastaging.context_name.pronunciation)    | fb:g.125_p640x                                                           |
| Super Bowl XXXV (fb:m.076yq) | Start date (fb:time.event.start_date)                               | 2001-01-28 (xsd:date)                                                    |
| ...                          | ...                                                                 | ...                                                                      |

[Assistant]
For Super Bowl XXXV, I found the property "Start date" with the value "2001-01-28". This indicates that Super Bowl XXXV took place in the year 2001. For Super Bowl XLVII, the alias "Super Bowl 2013" indicates the year 2013.

I will now finalize the answer that the Baltimore Ravens won the Super Bowl in the years 2001 and 2013.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The system correctly identified the Baltimore Ravens' Super Bowl wins and retrieved the years 2001 and 2013, corresponding to Super Bowl XXXV and Super Bowl XLVII respectively. The SPARQL query is well-constructed, filtering for championships labeled as 'Super Bowl' and extracting the year from either the start date or the season year. The answer is accurate and complete for the user's question.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?language ?languageLabel WHERE {
  fb:m.0d05w3 fb:location.country.official_language ?language .
  OPTIONAL {
    ?language rdfs:label ?languageLabel
  }
}

Got 37 rows and 2 columns, showing the first 5 and last 5 rows below:
| language                      | languageLabel                |
| ----------------------------- | ---------------------------- |
| Standard Chinese (fb:m.0653m) | Bahasa Mandarin Baku (ms)    |
| Standard Chinese (fb:m.0653m) | Bendrinė kinų kalba (lt)     |
| Standard Chinese (fb:m.0653m) | Hochchinesisch (de)          |
| Standard Chinese (fb:m.0653m) | Limba mandarină (ro)         |
| Standard Chinese (fb:m.0653m) | Lingua cinese mandarino (it) |
| ...                           | ...                          |
| Standard Chinese (fb:m.0653m) | แมนดาริน (th)                |
| Standard Chinese (fb:m.0653m) | 표준 중국어 (ko)                  |
| Standard Chinese (fb:m.0653m) | 普通話 (ja)                     |
| Standard Chinese (fb:m.0653m) | 现代标准汉语 (zh)                  |
| Standard Chinese (fb:m.0653m) | 現代標準漢語 (zh-Hant)             |

The main language used in China is Standard Chinese (Mandarin).

[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 main language used in china?

[Assistant]
To answer the question "What is the main language used in China?", I need to identify the entity for China and find the property related to the main or official language spoken in that country.

Step 1: Search for the entity "China" in the Freebase knowledge graph.

[Tool]
Top 10 entity alternatives:
1. China, also known as People's Republic of China (fb:m.0d05w3): China, officially the People's Republic of China, is a sovereign...h-largest by total area, depending on the method of measurement., has type Country
2. China, also known as China, Texas, Jefferson County / China city (fb:m.0104mv): China is a city in Jefferson County, Texas, United States. The p..., especially rice, and by the nearby oil and natural gas fields., has type City/Town/Village
3. China Moses, also known as China (fb:m.0dphjp_): China Moses is an American singer and television host. She lives in Paris., has type Composer
4. China, also known as China, Kagoshima (fb:m.02c1r4): China is a town located on Okinoerabujima, in Ōshima District, K...ion density of 122 persons per km². The total area is 53.29 km²., has type City/Town/Village
5. China (fb:m.01sgkrd): China is a hard rock band from Winterthur, Switzerland founded i...88 and 2013 have entered the Top 40 album charts in Switzerland., has type Musical Group
6. Chung Kuo, Cina, also known as China, Chung Kuo Cina, Chung Kuo, Cina (fb:m.05p3p6q): Chung Kuo, Cina is a 1972 Italian documentary directed by Michel...arily on the lives of contemporary working class Chinese people., has type Film
7. María Eugenia Suárez, also known as China Suárez, María Eugenia Suárez Riveiro, Eugenia Suárez, China (fb:m.047d28m): María Eugenia Suárez Riveiro, also known as Eugenia "China" Suár...up series Casi Ángeles and as a member of its group Teen Angels., has type Film actor
8. China (fb:m.038y5l): China is a 1979 album by the Greek artist Vangelis. Although he ...nese instruments and compositional styles on this concept album., has type Musical Album
9. China (fb:m.047f_s5): João Pedro dos Santos Gonçalves, commonly known as China, is a Portuguese professional footballer who plays as a left back., has type Football player
10. Amir Issaa, also known as Amir, China, Meticcio, Peso Piuma (fb:m.0hnt_m_): Amir Issaa is a rapper., has type Composer

[Assistant]
The entity for China as a country is identified as fb:m.0d05w3 (People's Republic of China).

Step 2: Now I will search for properties related to language for the entity China (fb:m.0d05w3) to find the main or official language used in China.

[Tool]
Top 10 property alternatives:
1. Languages spoken (fb:location.country.languages_spoken): links to type Human Language, part of Country schema
2. Official Language (fb:location.country.official_language): links to type Human Language, part of Country schema
3. Type (fb:base.biblioness.bibs_location.loc_type): part of Bibs Location schema, links to type Text
4. Type (fb:type.object.type): part of Object schema, links to type Type
5. Pronunciation (fb:base.schemastaging.context_name.pronunciation): links to type Pronunciation, part of Context name schema
6. Titles (fb:media_common.netflix_genre.titles): part of Netflix Genre schema, links to type Netflix Title
7. Titles (fb:royalty.system_of_nobility.titles): links to type System-Title relationship, part of System of nobility schema
8. Adjectival form (fb:location.location.adjectival_form): part of Location schema, links to type Text
9. Adjectival form (fb:freebase.linguistic_hint.adjectival_form): part of Linguistic hint schema, links to type Text
10. Adjectival form (fb:base.aareas.schema.administrative_area.adjectival_form): part of Administrative Area schema, links to type Text

No other items found

[Assistant]
The relevant properties for language related to China are:
- fb:location.country.languages_spoken (languages spoken)
- fb:location.country.official_language (official language)

Step 3: I will now query the official language(s) of China using the property fb:location.country.official_language.

[Tool]
Got 37 rows and 2 columns, showing the first 5 and last 5 rows below:
| language                      | languageLabel                |
| ----------------------------- | ---------------------------- |
| Standard Chinese (fb:m.0653m) | Bahasa Mandarin Baku (ms)    |
| Standard Chinese (fb:m.0653m) | Bendrinė kinų kalba (lt)     |
| Standard Chinese (fb:m.0653m) | Hochchinesisch (de)          |
| Standard Chinese (fb:m.0653m) | Limba mandarină (ro)         |
| Standard Chinese (fb:m.0653m) | Lingua cinese mandarino (it) |
| ...                           | ...                          |
| Standard Chinese (fb:m.0653m) | แมนดาริน (th)                |
| Standard Chinese (fb:m.0653m) | 표준 중국어 (ko)                  |
| Standard Chinese (fb:m.0653m) | 普通話 (ja)                     |
| Standard Chinese (fb:m.0653m) | 现代标准汉语 (zh)                  |
| Standard Chinese (fb:m.0653m) | 現代標準漢語 (zh-Hant)             |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the official languages of China from the Freebase knowledge graph. The result includes Standard Chinese (Mandarin), which is the main language used in China. The query also optionally retrieves labels for the languages in multiple languages, which is helpful for human readability. The answer provided is accurate and complete based on the query results. No further refinement is necessary.


PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?team ?teamName WHERE {
  fb:m.037bzt fb:sports.pro_athlete.teams ?roster .
  ?roster fb:sports.sports_team_roster.team ?team .
  ?team rdf:type fb:sports.professional_sports_team .
  ?team rdf:type fb:basketball.basketball_team .
  OPTIONAL {
    ?team fb:type.object.name ?teamName
  }
}

Got 17 rows and 2 columns, showing the first 5 and last 5 rows below:
| team                         | teamName                |
| ---------------------------- | ----------------------- |
| Phoenix Mercury (fb:m.0lr76) | Fīniksas "Mercury" (lv) |
| Phoenix Mercury (fb:m.0lr76) | Mercury de Phoenix (fr) |
| Phoenix Mercury (fb:m.0lr76) | Phoenix Mercury (de)    |
| Phoenix Mercury (fb:m.0lr76) | Phoenix Mercury (en)    |
| Phoenix Mercury (fb:m.0lr76) | Phoenix Mercury (es)    |
| ...                          | ...                     |
| Phoenix Mercury (fb:m.0lr76) | فینکس مرکوری (fa)       |
| Phoenix Mercury (fb:m.0lr76) | 피닉스 머큐리 (ko)            |
| Phoenix Mercury (fb:m.0lr76) | フェニックス・マーキュリー (ja)      |
| Phoenix Mercury (fb:m.0lr76) | 凤凰城水星 (zh)              |
| Phoenix Mercury (fb:m.0lr76) | 鳳凰城水星 (zh-Hant)         |

Diana Taurasi is on the WNBA team Phoenix Mercury, which is a professional basketball team.

[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 wnba team is diana taurasi on?

[Assistant] To answer the question "What WNBA team is Diana Taurasi on?" I will first search for the entity "Diana Taurasi" in the Freebase knowledge graph to get her identifier. Then I will look for properties related to the WNBA team she is associated with.

[Tool]
Top 10 entity alternatives:
1. Diana Taurasi, also known as Dee, Diana Lurena Taurasi (fb:m.037bzt): Diana Lorena Taurasi is an American professional basketball play...oted one of the Top 15 all-time players in WNBA history by fans., has type Award Winner
2. Diana, also known as Artemis, Diane (fb:m.02bg9): In Roman mythology, Diana was the goddess of the hunt, the moon ...er servant and assistant midwife; and Virbius, the woodland god., has type Deity
3. Diana, also known as Caught in Flight (fb:m.0k3n828): Diana is a 2013 biographical drama film, directed by Oliver Hirs...ved negative reviews from both the British and American critics., has type Film
4. Diana (fb:m.02qfxyb): Diana is a region in Madagascar at the most northerly part of th...ulation of 485,800 in 2004. The regional capital is Antsiranana., has type Administrative Division
5. Aylar Lie, also known as Princess Diana, Persian Princess Diana, Diana, Aylar Dianati Lie, Aylar Dianati (fb:m.076tbn): Aylar Dianati Lie is a Norwegian actress and model of Iranian de...foster care. She speaks Norwegian, Persian and English fluently., has type Musical Artist
6. Nayantara, also known as queen of tamil cinema, Nayantra, Nayanthara, Nayantara, Nayanathara (fb:m.025t2jh): Nayantara is an Indian film actress from Kerala, who appears in ...mes listed her in the "List of 15 Most Desirable Women in 2014"., has type Award Winner
7. Taurasi (fb:m.0fg15y): Taurasi is a town and comune in the province of Avellino, Campan... Taurus. Within time it changed to Taurasos and then to Taurasia, has type City/Town/Village
8. Diana, also known as DAIANA (fb:m.0d4n1s): "Diana" is a song written and made famous by Paul Anka in 1957, ... these versions were also published in Italian for a special LP., has type Composition
9. Diana, also known as Diana camera (fb:m.02zf2y): The Diana camera is a plastic-bodied box camera using 120 rollfi...composition that can provide a 'dreamlike' quality to the print.
10. Diana, also known as Diana: Deluxe Edition (fb:m.01k9dpb): Diana is the tenth studio album by American singer Diana Ross, r...ed and produced by Chic members Nile Rodgers and Bernard Edwards, Diana is a 1980 studio album by Diana Ross., has type Musical Album

[Assistant] I found the entity for Diana Taurasi with the identifier fb:m.037bzt. Now I will search for properties related to the WNBA team she is associated with. I will search for properties of the entity Diana Taurasi that might indicate the team she plays for.

[Tool]
Top 10 property alternatives:
1. Teams (fb:sports.pro_athlete.teams): links to type Sports team roster, part of Athlete schema
2. Name (fb:type.object.name): part of Object schema, links to type Text
3. Position(s) (fb:basketball.basketball_player.position_s): links to type Basketball Position, part of Basketball Player schema
4. Key (fb:type.object.key): part of Object schema, links to type Key
5. Official website (fb:common.topic.official_website): part of Topic schema, links to type URI
6. Article (fb:common.topic.article): links to type Document, part of Topic schema
7. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
8. Country (fb:olympics.olympic_athlete.country): links to type Olympic athlete affiliation, part of Olympic athlete schema
9. Description (fb:common.topic.description): part of Topic schema, links to type Text
10. Profession (fb:people.person.profession): links to type Profession, part of Person schema

No other items found

[Assistant] The property "Teams" (fb:sports.pro_athlete.teams) seems to be the relevant property that links Diana Taurasi to the sports teams she has been part of. I will now query the teams associated with Diana Taurasi using this property.

[Tool]
Got 4 rows and 2 columns:
| team         | teamName |
| ------------ | -------- |
| fb:m.0kc2_tr |          |
| fb:m.0z3t_gj |          |
| fb:m.0z3t_lb |          |
| fb:m.0z6bvmq |          |

[Assistant] Diana Taurasi is associated with four teams in the knowledge graph, but their names are not directly shown in the query result. I will now query the names of these teams to identify which one is a WNBA team.

[Tool] Got no rows and 2 columns

[Assistant] The team names for the identified teams are not directly available with the property fb:type.object.name. I will try to find alternative properties that might provide the team names or labels for these team entities. I will check the properties of one of the team entities fb:m.0kc2_tr to find a suitable property for the team name or label.

[Tool]
Got 8 rows and 3 columns:
| subject      | property                                              | object                                            |
| ------------ | ----------------------------------------------------- | ------------------------------------------------- |
| fb:m.0kc2_tr | Type (fb:type.object.type)                            | Sports team roster (fb:sports.sports_team_roster) |
| fb:m.0kc2_tr | Has no value (fb:freebase.valuenotation.has_no_value) | To (fb:m.0j2n1f2)                                 |
| fb:m.0kc2_tr | Player (fb:sports.sports_team_roster.player)          | Diana Taurasi (fb:m.037bzt)                       |
| fb:m.0kc2_tr | Position (fb:sports.sports_team_roster.position)      | Guard (fb:m.05ch8k4)                              |
| fb:m.0kc2_tr | Team (fb:sports.sports_team_roster.team)              | Phoenix Mercury (fb:m.0lr76)                      |
| fb:m.0kc2_tr | From (fb:sports.sports_team_roster.from)              | 2004 (xsd:gYear)                                  |
| fb:m.0kc2_tr | Number (fb:sports.sports_team_roster.number)          | 3                                                 |
| fb:m.0kc2_tr | rdf:type                                              | Sports team roster (fb:sports.sports_team_roster) |

[Assistant] The entity fb:m.0kc2_tr is a sports team roster, and it links to the team "Phoenix Mercury" (fb:m.0lr76) through the property fb:sports.sports_team_roster.team. I will now get the name of the team "Phoenix Mercury" to confirm it is a WNBA team.

[Tool]
Got 17 rows and 1 column, showing the first 5 and last 5 rows below:
| teamName                |
| ----------------------- |
| Fīniksas "Mercury" (lv) |
| Mercury de Phoenix (fr) |
| Phoenix Mercury (de)    |
| Phoenix Mercury (en)    |
| Phoenix Mercury (es)    |
| ...                     |
| فینکس مرکوری (fa)       |
| 피닉스 머큐리 (ko)            |
| フェニックス・マーキュリー (ja)      |
| 凤凰城水星 (zh)              |
| 鳳凰城水星 (zh-Hant)         |

[Assistant] The team "Phoenix Mercury" is one of the teams Diana Taurasi is associated with. Phoenix Mercury is a WNBA team. I will now finalize the answer that Diana Taurasi is on the Phoenix Mercury WNBA team.

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The SPARQL query returns a team identifier (fb:m.0kc2_tr) that does not match the expected Phoenix Mercury team identifier (fb:m.0lr76) mentioned in the answer. This indicates a mismatch between the query result and the provided answer. The query should be corrected to accurately retrieve the current WNBA team of Diana Taurasi. Also, the query pattern is somewhat confusing as it uses a fixed team in the triple pattern, which might be incorrect. Instead, the query should directly retrieve the teams associated with Diana Taurasi without restricting to a specific team in the pattern. Please revise the query to correctly fetch the WNBA team(s) Diana Taurasi is on, ensuring the returned team matches the answer or update the answer accordingly.

[Assistant] Thank you for the feedback. I understand that the SPARQL query should directly retrieve the WNBA team(s) Diana Taurasi is on without restricting to a specific team in the pattern. I will revise the query to fetch the teams associated with Diana Taurasi and then get the actual team names to ensure the answer matches the query result.

[Tool]
Got 39 rows and 2 columns, showing the first 5 and last 5 rows below:
| team                                     | teamName                         |
| ---------------------------------------- | -------------------------------- |
| WBC Spartak Moscow Region (fb:m.05f7cbq) | Maskavas apgabala "SpartaK" (lv) |
| WBC Spartak Moscow Region (fb:m.05f7cbq) | Spartak région de Moscou (fr)    |
| WBC Spartak Moscow Region (fb:m.05f7cbq) | Spartak Región de Moscú (es)     |
| WBC Spartak Moscow Region (fb:m.05f7cbq) | Spartak Regione di Mosca (it)    |
| WBC Spartak Moscow Region (fb:m.05f7cbq) | WBC Spartak Moscow Region (en)   |
| ...                                      | ...                              |
| Phoenix Mercury (fb:m.0lr76)             | فینکس مرکوری (fa)                |
| Phoenix Mercury (fb:m.0lr76)             | 피닉스 머큐리 (ko)                     |
| Phoenix Mercury (fb:m.0lr76)             | フェニックス・マーキュリー (ja)               |
| Phoenix Mercury (fb:m.0lr76)             | 凤凰城水星 (zh)                       |
| Phoenix Mercury (fb:m.0lr76)             | 鳳凰城水星 (zh-Hant)                  |

[Assistant] The revised query returns multiple teams associated with Diana Taurasi, including the WNBA team "Phoenix Mercury" (fb:m.0lr76). This confirms that Diana Taurasi is on the Phoenix Mercury WNBA team. I will now finalize the answer with this corrected query and information.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly retrieves all teams Diana Taurasi has been on, including international teams and the Phoenix Mercury. However, the user question specifically asks for the WNBA team she is on. The query should be refined to filter results to only WNBA teams to provide a more precise answer. Additionally, the answer should clarify that Phoenix Mercury is the WNBA team, distinguishing it from other teams in the results.

[Assistant] Thank you for the feedback. To refine the query, I will filter the teams to only those that are WNBA teams. I will check if there is a property or type that indicates a team is part of the WNBA. Then I will update the query to include this filter and provide a precise answer stating that Phoenix Mercury is the WNBA team Diana Taurasi is on.

[Tool]
Top 10 property alternatives:
1. Basketball Players (fb:user.danm.default_domain.test_type.basketball_players): links to type Basketball Player, part of Test Type schema
2. Sports League (fb:baseball.baseball_league.sports_league): links to type Sports Association, part of Baseball League schema
3. Basketball player (fb:user.danm.default_domain.autocomplete_tests.basketball_player): part of Autocomplete Tests schema, links to type Basketball Player
4. League (fb:user.szaijan.fantasy_football.season.league): part of Season schema, links to type League
5. League (fb:user.szaijan.fantasy_football.scoring.league): part of Scoring schema, links to type League
6. League (fb:user.szaijan.fantasy_football.draft.league): links to type League, part of Draft schema
7. League (fb:user.xleioo.winning_night.soccer.league): links to type Option List, part of Soccer schema
8. League (fb:basketball.basketball_conference.league): part of Basketball Conference schema, links to type Sports Association
9. League (fb:baseball.baseball_division.league): part of Baseball Division schema, links to type Baseball League
10. League (fb:ice_hockey.hockey_conference.league): part of Ice hockey conference schema, links to type Sports Association

[Assistant] I found several properties related to "League," which might be used to indicate the league a team belongs to. I will now check if the team "Phoenix Mercury" has a property indicating it belongs to the WNBA league.

[Tool] Got no rows and 3 columns

[Assistant] The property fb:basketball.basketball_conference.league does not seem to be used for the Phoenix Mercury team. I will try the more general property "League" (fb:league.league) to see if it is used for the team.

[Tool] Got no rows and 3 columns

[Assistant] The property fb:league.league is also not used for the Phoenix Mercury team. I will try to find the types of the Phoenix Mercury team to see if there is a type indicating it is a WNBA team.

[Tool]
Got 10 rows and 3 columns:
| subject                      | property | object                                                        |
| ---------------------------- | -------- | ------------------------------------------------------------- |
| Phoenix Mercury (fb:m.0lr76) | rdf:type | Topic (fb:common.topic)                                       |
| Phoenix Mercury (fb:m.0lr76) | rdf:type | Abstract (fb:base.type_ontology.abstract)                     |
| Phoenix Mercury (fb:m.0lr76) | rdf:type | Inanimate (fb:base.type_ontology.inanimate)                   |
| Phoenix Mercury (fb:m.0lr76) | rdf:type | Agent (fb:base.type_ontology.agent)                           |
| Phoenix Mercury (fb:m.0lr76) | rdf:type | Organization (fb:organization.organization)                   |
| Phoenix Mercury (fb:m.0lr76) | rdf:type | Sports Team (fb:sports.sports_team)                           |
| Phoenix Mercury (fb:m.0lr76) | rdf:type | Topic (fb:base.schemastaging.topic)                           |
| Phoenix Mercury (fb:m.0lr76) | rdf:type | Sports team extra (fb:base.schemastaging.sports_team_extra)   |
| Phoenix Mercury (fb:m.0lr76) | rdf:type | Basketball Team (fb:basketball.basketball_team)               |
| Phoenix Mercury (fb:m.0lr76) | rdf:type | Professional Sports Team (fb:sports.professional_sports_team) |

[Assistant] The Phoenix Mercury team is typed as a Basketball Team and a Professional Sports Team, but there is no explicit type indicating it is a WNBA team. I will try to find the league or association the team belongs to by exploring properties of the team entity.

[Tool]
Got 249 rows and 3 columns, showing the first 10 rows below:
| subject                      | property                                                            | object                                                                   |
| ---------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Phoenix Mercury (fb:m.0lr76) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Phoenix Mercury (fb:m.0lr76) | Key (fb:type.object.key)                                            | /en/phoenix_mercury                                                      |
| Phoenix Mercury (fb:m.0lr76) | Name (fb:type.object.name)                                          | Fīniksas "Mercury" (lv)                                                  |
| Phoenix Mercury (fb:m.0lr76) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://de.wikipedia.org/wiki/index.html?curid=3564962>                  |
| Phoenix Mercury (fb:m.0lr76) | Notable for (fb:common.topic.notable_for)                           | fb:g.1258c0l7_                                                           |
| Phoenix Mercury (fb:m.0lr76) | Notable types (fb:common.topic.notable_types)                       | Basketball Team (fb:m.01xrrd7)                                           |
| Phoenix Mercury (fb:m.0lr76) | Description (fb:common.topic.description)                           | De Phoenix Mercury is een Amerik...esort Arena als de Phoenix Suns. (nl) |
| Phoenix Mercury (fb:m.0lr76) | Article (fb:common.topic.article)                                   | fb:m.0lr7d                                                               |
| Phoenix Mercury (fb:m.0lr76) | Roster (fb:sports.sports_team.roster)                               | fb:m.0kc2_rl                                                             |
| Phoenix Mercury (fb:m.0lr76) | Sport (fb:sports.sports_team.sport)                                 | Basketball (fb:m.018w8)                                                  |
| ...                          | ...                                                                 | ...                                                                      |

[Assistant] The property fb:sports.sports_team.sport indicates the sport the team plays. For Phoenix Mercury, it is "Basketball" (fb:m.018w8). I will check if there is a property indicating the league or association for the team. I will look for properties related to "league" or "association" for the Phoenix Mercury team.

[Tool]
Top 10 property alternatives:
1. Sport (fb:sports.sports_team.sport): part of Sports Team schema, links to type Sport
2. Roster (fb:sports.sports_team.roster): links to type Sports team roster, part of Sports Team schema
3. Draft Picks (fb:sports.professional_sports_team.draft_picks): part of Professional Sports Team schema, links to type Sports League Draft Pick
4. Arena/Stadium (fb:sports.sports_team.arena_stadium): links to type Sports Facility, part of Sports Team schema
5. Key (fb:type.object.key): part of Object schema, links to type Key
6. Type (fb:type.object.type): part of Object schema, links to type Type
7. Description (fb:common.topic.description): part of Topic schema, links to type Text
8. Name (fb:type.object.name): part of Object schema, links to type Text
9. Venue (fb:sports.sports_team.venue): links to type Team/venue relationship, part of Sports Team schema
10. Article (fb:common.topic.article): links to type Document, part of Topic schema

No other items found

[Assistant] There is no direct property indicating the league or association for the Phoenix Mercury team. Since Phoenix Mercury is a well-known WNBA team and is typed as a professional basketball team, I will filter the teams Diana Taurasi is on by the type "Professional Sports Team" and "Basketball Team" to narrow down to likely WNBA teams. Then I will present Phoenix Mercury as the WNBA team she is on.

[Tool]
Got 17 rows and 2 columns, showing the first 5 and last 5 rows below:
| team                         | teamName                |
| ---------------------------- | ----------------------- |
| Phoenix Mercury (fb:m.0lr76) | Fīniksas "Mercury" (lv) |
| Phoenix Mercury (fb:m.0lr76) | Mercury de Phoenix (fr) |
| Phoenix Mercury (fb:m.0lr76) | Phoenix Mercury (de)    |
| Phoenix Mercury (fb:m.0lr76) | Phoenix Mercury (en)    |
| Phoenix Mercury (fb:m.0lr76) | Phoenix Mercury (es)    |
| ...                          | ...                     |
| Phoenix Mercury (fb:m.0lr76) | فینکس مرکوری (fa)       |
| Phoenix Mercury (fb:m.0lr76) | 피닉스 머큐리 (ko)            |
| Phoenix Mercury (fb:m.0lr76) | フェニックス・マーキュリー (ja)      |
| Phoenix Mercury (fb:m.0lr76) | 凤凰城水星 (zh)              |
| Phoenix Mercury (fb:m.0lr76) | 鳳凰城水星 (zh-Hant)         |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?notableForLabel WHERE {
  fb:m.083pr fb:common.topic.notable_for ?notableFor .
  OPTIONAL {
    ?notableFor fb:common.notable_for.display_name ?notableForLabel .
    FILTER ( lang( ?notableForLabel ) = "en" )
  }
}

Got 1 row and 1 column:
| notableForLabel   |
| ----------------- |
| US President (en) |

William Howard Taft is famous for being the President of the United States.

[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 william taft famous for?

[Assistant]
To answer the question "What is William Taft famous for?" I need to identify the entity "William Taft" in the knowledge graph and then find properties or statements that describe his fame or notable achievements.

Step 1: Search for the entity "William Taft" in the Freebase knowledge graph.

[Tool]
Top 10 entity alternatives:
1. William Howard Taft, also known as Judge William Howard Taft, Taft, William Howard, William Taft (fb:m.083pr): William Howard Taft was the 27th President of the United States ...lt, Taft won an easy victory in his 1908 bid for the presidency., has type US President
2. Billy Taft, also known as William Taft (fb:m.0hnsdx3): Billy Taft is a film actor., has type Film actor
3. William W. Taft, also known as William Taft (fb:m.0br_6ht): William W. Taft is a former member of the Ohio Senate, and a mem...a member of the board of trustees for Cleveland State University, has type Politician
4. William Taft, also known as Bill Taft (fb:m.0glmv07): has type Film director
5. William Howard Taft (fb:m.0dn735d): has type Musical Recording
6. William Howard Taft (fb:m.0t592m8): William Howard Taft was a baseball player., has type Deceased Person
7. William Howard Taft (fb:m.03smgh1)
8. William Howard Taft (fb:m.02bk9fr)
9. William Howard Taft (fb:m.0mnpgk7)
10. William Howard Taft (fb:m.0m0x1dh)

[Assistant]
The most relevant entity for "William Taft" is "William Howard Taft" (fb:m.083pr), who was the 27th President of the United States. This entity is likely the one the user is referring to.

Step 2: I will now search for properties related to "famous for" or notable achievements for the entity William Howard Taft (fb:m.083pr). I will search for properties of this entity that might describe what he is famous for.

[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. Also known as (fb:common.topic.alias): part of Topic schema, links to type Text
5. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
6. Things named after this (fb:symbols.name_source.namesakes): part of Name source schema, links to type Namesake
7. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
8. Belonged to (fb:base.yalebase.secret_society_member.belonged_to): links to type Secret society membership, part of Secret society member schema
9. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
10. Member of (fb:organization.organization_member.member_of): links to type Organization membership, part of Organization member schema

No other items found

[Assistant]
The property "Notable for" (fb:common.topic.notable_for) seems to be the most relevant to describe what William Howard Taft is famous for.

Step 3: I will query the values of the "Notable for" property for the entity William Howard Taft (fb:m.083pr) to find out what he is famous for.

[Tool]
Got 1 row and 2 columns:
| notableFor     | notableForLabel |
| -------------- | --------------- |
| fb:g.12567wlt7 |                 |

[Assistant] William Howard Taft is notable for the entity fb:g.12567wlt7. To understand what this entity represents, I will query its label.

[Tool] Got no rows and 1 columns

[Assistant] The entity fb:g.12567wlt7 does not have an English label directly available. I will try to get more information about this entity by querying its types and any other labels or descriptions.

[Tool]
Got 10 rows and 2 columns:
| property                                          | value                                    |
| ------------------------------------------------- | ---------------------------------------- |
| Display name (fb:common.notable_for.display_name) | ABD Başkanı (tr)                         |
| Display name (fb:common.notable_for.display_name) | Američki predsjednik (hr)                |
| Display name (fb:common.notable_for.display_name) | Americký prezident (sk)                  |
| Display name (fb:common.notable_for.display_name) | Amerikansk præsident (da)                |
| Display name (fb:common.notable_for.display_name) | ASV prezidents (lv)                      |
| Display name (fb:common.notable_for.display_name) | Az Amerikai Egyesült Államok elnöke (hu) |
| Display name (fb:common.notable_for.display_name) | Pangulo ng US (fil)                      |
| Display name (fb:common.notable_for.display_name) | Predsednik ZDA (sl)                      |
| Display name (fb:common.notable_for.display_name) | Preşedinte al S.U.A. (ro)                |
| Display name (fb:common.notable_for.display_name) | Presiden A.S. (id)                       |

[Assistant]
The notable entity fb:g.12567wlt7 is described by various display names in different languages, all of which translate to "President of the United States" or similar. This indicates that William Howard Taft is famous for being the President of the United States.

Step 4: To provide a more complete answer, I will also check if there are other notable facts or roles associated with William Howard Taft. I will query other notable types or related properties.

[Tool]
Got 1 row and 2 columns:
| notableType                 | notableTypeLabel  |
| --------------------------- | ----------------- |
| US President (fb:m.01xljv7) | US President (en) |

[Assistant]
William Howard Taft is notably recognized as a "US President." This aligns with the previous finding that he is famous for being the President of the United States.

Step 5: I will also check for a short description or summary about William Howard Taft to enrich the answer.

[Tool] Got no rows and 1 columns

[Assistant]
There is no direct English description available for William Howard Taft in the knowledge graph.

Based on the gathered information, William Howard Taft is famous for being the President of the United States.

I will now formulate the final answer and SPARQL query.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The system correctly identified William Howard Taft's notable role as the President of the United States. The SPARQL query is appropriate, retrieving the notable_for property and its English label, which matches the user's question about what William Taft is famous for. The answer is accurate and complete based on the knowledge graph data. No further refinement is necessary.