PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?state ?stateLabel WHERE {
  fb:m.02mjmr fb:people.person.place_of_birth ?birthPlace .
  ?birthPlace fb:location.location.containedby ?state .
  ?state fb:common.topic.notable_types fb:m.0kpys4 .
  OPTIONAL {
    ?state rdfs:label ?stateLabel
  }
}

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

Barack Obama is from the state of Hawaii.

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

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

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

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

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

[User] what state is barack obama from?

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

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

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

Using entities:
Barack Obama, also known as President Obama, President Barack Obama, President Barack Hussein Obama II, President Barack H. Obama, Obama (fb:m.02mjmr): Barack Hussein Obama II is the 44th and current President of the...mocratic Party primaries to receive the presidential nomination., Barack Hussein Obama II (/bəˈrɑːk huːˈseɪn oʊˈbɑːmə/; born Augus...ting the 13th District in the Illinois Senate from 1997 to 2004., has type US President
US State (fb:m.0kpys4): A US State is one of the fifty sub-national entitites comprising... of America. Each state has its own capital city and government.

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

Example 2:
Question:
what state obama was born?

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

Using entities:
Barack Obama, also known as President Obama, President Barack Obama, President Barack Hussein Obama II, President Barack H. Obama, Obama (fb:m.02mjmr): Barack Hussein Obama II is the 44th and current President of the...mocratic Party primaries to receive the presidential nomination., Barack Hussein Obama II (/bəˈrɑːk huːˈseɪn oʊˈbɑːmə/; born Augus...ting the 13th District in the Illinois Senate from 1997 to 2004., has type US President

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

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

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

Using entities:
United States Senator, also known as U.S. Senator (fb:m.02_7l8y): has type Government Office or Title
Barack Obama, also known as President Obama, President Barack Obama, President Barack Hussein Obama II, President Barack H. Obama, Obama (fb:m.02mjmr): Barack Hussein Obama II is the 44th and current President of the...mocratic Party primaries to receive the presidential nomination., Barack Hussein Obama II (/bəˈrɑːk huːˈseɪn oʊˈbɑːmə/; born Augus...ting the 13th District in the Illinois Senate from 1997 to 2004., has type US President

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

[Assistant]
From the examples, it seems the best way to find the state Barack Obama is from is to look at his place of birth and then find the state that contains that location. The entity for Barack Obama is fb:m.02mjmr. The property for place of birth is fb:people.person.place_of_birth. The property for the location contained by a state is fb:location.location.containedby. The type for US State is fb:m.0kpys4.

I will now write a SPARQL query to find the state that contains the place of birth of Barack Obama.

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

[Tool] Stopped generation process

[User]
Feedback (status=done):
The system correctly identified Barack Obama's state as Hawaii based on his place of birth and the location containment hierarchy. The SPARQL query is well-formed and returns the state entity along with labels in multiple languages, which is acceptable. The answer is accurate and complete. No further refinement is necessary.


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

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

East Timor (Timor-Leste) has two official languages: Portuguese and Tetun. Additionally, there are multiple other languages spoken in East Timor, including Bunak, English, Habu, Kemak, Makuv'a, Idalaka, Bekais, Dawan, Wetarese, and Tetun-Terik among others.

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

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

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

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

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

[User] what language does east timor speak?

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

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

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

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

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

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

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

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

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

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

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

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

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

[Assistant]
From the similar examples, we see that the entity for a country (e.g., Indonesia) is used with properties like fb:location.country.official_language or fb:location.country.languages_spoken to get the languages spoken in that country.

Step 1: Search for the entity "East Timor" in the knowledge graph to get its identifier.

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

[Assistant] The entity for East Timor as a country is "Timor-Leste" with the identifier fb:m.02lx0. Next, I will search for properties related to languages spoken or official languages for this entity.

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

No other items found

[Assistant]
There are two relevant properties for languages related to East Timor (fb:m.02lx0):
- fb:location.country.languages_spoken
- fb:location.country.official_language

I will now query the languages spoken and official languages of East Timor using these properties.

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

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

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves both the official languages and the other languages spoken in East Timor, returning their identifiers and English labels as requested. The answer accurately reflects the query results, listing Portuguese and Tetun as official languages and also mentioning other languages spoken in East Timor. The query uses appropriate properties and includes optional labels with language filtering. Overall, the output is correct and complete.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?state ?stateLabel WHERE {
  fb:m.018qjq fb:location.location.partially_containedby ?state .
  ?state fb:common.topic.notable_types fb:m.0kpys4 .
  OPTIONAL {
    ?state rdfs:label ?stateLabel FILTER ( lang( ?stateLabel ) = "en" )
  }
}

Got 5 rows and 2 columns:
| state                   | stateLabel      |
| ----------------------- | --------------- |
| Colorado (fb:m.01n4w)   | Colorado (en)   |
| California (fb:m.01n7q) | California (en) |
| Nevada (fb:m.059_c)     | Nevada (en)     |
| Utah (fb:m.07srw)       | Utah (en)       |
| Arizona (fb:m.0vmt)     | Arizona (en)    |

The Colorado River runs through the states of Colorado, California, Nevada, Utah, and Arizona.

[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] which states does the colorado river run through?

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

[Tool]
Example 1:
Question:
which states does the connecticut river flow through?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01ldvs ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01ldvs fb:location.location.partially_containedby ?x .
  ?x fb:common.topic.notable_types fb:m.0kpys4 .
}

Using entities:
Connecticut River (fb:m.01ldvs): The Connecticut River is the longest river in the New England re...Massachusetts, and the state of Connecticut's capital, Hartford., has type River
US State (fb:m.0kpys4): A US State is one of the fifty sub-national entitites comprising... of America. Each state has its own capital city and government.

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Partially contained by (fb:location.location.partially_containedby): part of Location schema, links to type Location

Example 2:
Question:
what states does the connecticut river flow through?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01ldvs ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01ldvs fb:location.location.partially_containedby ?x .
  ?x fb:common.topic.notable_types fb:m.0kpys4 .
}

Using entities:
Connecticut River (fb:m.01ldvs): The Connecticut River is the longest river in the New England re...Massachusetts, and the state of Connecticut's capital, Hartford., has type River
US State (fb:m.0kpys4): A US State is one of the fifty sub-national entitites comprising... of America. Each state has its own capital city and government.

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Partially contained by (fb:location.location.partially_containedby): part of Location schema, links to type Location

Example 3:
Question:
which states does the mississippi river pass through?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.04yf_ ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.04yf_ fb:location.location.partially_containedby ?x .
  ?x fb:base.biblioness.bibs_location.loc_type ?sk0 .
  FILTER ( str( ?sk0 ) = "State" )
}

Using entities:
Mississippi River, also known as mississip, the mississippi (fb:m.04yf_): The Mississippi River is the chief river of the largest drainage...s, then settlers, ventured into the basin in increasing numbers., has type River

Using properties:
Type (fb:base.biblioness.bibs_location.loc_type): part of Bibs Location schema, links to type Text
Partially contained by (fb:location.location.partially_containedby): part of Location schema, links to type Location

[Assistant]
From the examples, it seems that the property fb:location.location.partially_containedby is used to find the states through which a river runs. The entity for the river is used as the subject, and the states are the objects of this property. The states are filtered by their type, which is a US State.

Next, I will search for the entity corresponding to the Colorado River in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Colorado River (fb:m.018qjq): The Colorado River is one of the principal rivers of the Southwe... almost 40 million people both inside and outside the watershed., has type River
2. Colorado River (fb:m.018qj9): The Colorado River is a river in the south of Argentina. The Col...on the river traverses, and to regulate the river's water level., has type River
3. Colorado River (fb:m.018qk6): The Colorado River is a river that runs through the U.S. state o...y City before emptying into the Gulf of Mexico at Matagorda Bay., has type River
4. Colorado River (fb:m.0cd2h2): The Colorado River, or the Rio Colorado, in Costa Rica is a trib...rist destination, particularly for fishing for tarpon and snook., has type River
5. Colorado River (fb:m.06wb1rj): The Colorado River is a river of Chile., has type River
6. Colorado River (fb:m.0ql50g4): The Río Colorado is a river of Bolivia in the Potosí Department, Nor Lípez Province., has type River
7. Colorado River (fb:m.06w912z): The Colorado River is a river of Chile., has type River
8. Colorado River (fb:m.06w1mzv): The Colorado River is a river of Chile., has type River
9. Colorado River (fb:m.06w6t9l): Colorado River is a river of Costa Rica. It is a tributary of the Tempisque River., has type River
10. Colorado River (fb:m.0rglnx1): has type Musical Recording

[Assistant] The Colorado River entity that matches the principal river of the Southwestern United States is fb:m.018qjq. Now I will construct a query to find the states that this Colorado River runs through using the property fb:location.location.partially_containedby and filtering for US States.

[Tool]
Got 5 rows and 2 columns:
| state                   | stateLabel      |
| ----------------------- | --------------- |
| Colorado (fb:m.01n4w)   | Colorado (en)   |
| California (fb:m.01n7q) | California (en) |
| Nevada (fb:m.059_c)     | Nevada (en)     |
| Utah (fb:m.07srw)       | Utah (en)       |
| Arizona (fb:m.0vmt)     | Arizona (en)    |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the states through which the Colorado River runs by using the 'partially_containedby' property and filtering for US states. The returned states (Colorado, California, Nevada, Utah, and Arizona) are accurate and match the human-readable answer. The query also optionally retrieves English labels for better readability. The output is complete and correct for the user's question.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?location ?locationLabel WHERE {
  fb:m.0hrf6ww fb:time.event.locations ?location .
  OPTIONAL {
    ?location rdfs:label ?locationLabel .
    FILTER ( lang( ?locationLabel ) = 'en' )
  }
}

The location of the Augusta Masters 2012 (2012 Masters Tournament) is the Augusta National Golf Course.

[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 augusta masters 2012?

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

[Tool]
Example 1:
Question:
where is the 2012 ncaa basketball tournament?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.080nmfs ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.080nmfs fb:time.event.locations ?x .
}

Using entities:
2012 NCAA Men's Division I Basketball Tournament (fb:m.080nmfs): The 2012 NCAA Men's Division I Basketball Tournament was a singl...ith Kentucky in 2011, Memphis in 2008 and Massachusetts in 1996., has type Sports League Championship Event

Using properties:
Location(s) (fb:time.event.locations): links to type Location, part of Event schema

Example 2:
Question:
where is the world series 2012 being played?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0ds8qct ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0ds8qct fb:time.event.locations ?x .
}

Using entities:
2012 World Series (fb:m.0ds8qct): The 2012 World Series was the 108th edition of Major League Base... Games 6 and 7 if these had been necessary to decide the Series., has type Sports League Championship Event

Using properties:
Location(s) (fb:time.event.locations): links to type Location, part of Event schema

Example 3:
Question:
where was hackney 2012 held?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0yx1g5l ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0yx1g5l fb:time.event.locations ?x .
}

Using entities:
Radio 1′s Hackney Weekend 2012 (fb:m.0yx1g5l): Radio 1′s Hackney Weekend 2012,  Hackney Marshes, is the 2012 instance of the Radio 1's Big Weekend festival., has type Event

Using properties:
Location(s) (fb:time.event.locations): links to type Location, part of Event schema

[Assistant]
From the similar examples, it seems that events like sports tournaments or championships are represented as entities, and their locations can be found using the property fb:time.event.locations.

Next, I will search for the entity "Augusta Masters 2012" in the freebase knowledge graph to find the exact entity representing this event.

[Tool]
Top 10 entity alternatives:
1. 2012 Masters (fb:m.0hgmjk_): The 2012 BGC Masters was a professional non-ranking snooker tour...10–6 in the final. This was Robertson's 10th professional title.
2. 2012 Sony Ericsson Open, also known as 2012 Miami Masters (fb:m.0j45mwb): The 2012 Sony Ericsson Open, a men's and women's tennis tourname...orld Tour Masters 1000 and Premier Mandatory event respectively., has type Multi-event tournament
3. 2012 Masters Tournament (fb:m.0hrf6ww): The 2012 Masters Tournament was the 76th Masters Tournament, hel...the Masters; Ángel Cabrera won on the second extra hole in 2009., has type Competition
4. 2012 German Masters (fb:m.0h94dr5): The 2012 PartyPoker.net German Masters was a professional rankin...3rd ranking title by defeating Stephen Maguire 9–7 in the final.
5. 2012 Shanghai Masters (fb:m.0k9791z): The 2012 Bank of Communication Shanghai Masters was a profession... break and also the third maximum break of the 2012/2013 season.
6. 2012 Polish Masters (fb:m.0kbhwdv): The 2012 Polish Masters was an exhibition international club foo...n Miejski in Wrocław, Poland. This was the first Polish Masters.
7. Pre Masters 2012 (fb:m.010csfc8): has type Musical Release
8. Pre Masters 2012 (fb:m.010czwcx): has type Musical Album
9. 2012 Copenhagen Masters (fb:m.0pcllzl): The 2012 Copenhagen Masters was the 20th edition of the invitati...exhibition match against Lin Dan, where Gade emerged victorious.
10. 2012 Zuiderduin Masters (fb:m.012bny2f): The 2013 Zuiderduin Masters was a BDO/WDF darts tournament that ... tournament for the first time beating Alan Norris in the final.

[Assistant]
The entity "2012 Masters Tournament" (fb:m.0hrf6ww) seems to be the correct one for Augusta Masters 2012, as it is described as the 76th Masters Tournament.

Next, I will check the properties of this entity to find the property related to the location of the event.

[Tool]
Top 10 property alternatives:
1. Location(s) (fb:time.event.locations): links to type Location, part of Event schema
2. Name (fb:type.object.name): part of Object schema, links to type Text
3. Description (fb:common.topic.description): part of Topic schema, links to type Text
4. Key (fb:type.object.key): part of Object schema, links to type Key
5. Article (fb:common.topic.article): links to type Document, part of Topic schema
6. Winner (fb:award.competition.winner): part of Competition schema, links to type Competitor
7. Championship (fb:sports.sports_championship_event.championship): part of Sports League Championship Event schema, links to type Sports League Championship
8. Type (fb:type.object.type): part of Object schema, links to type Type
9. Start date (fb:time.event.start_date): links to type Date/Time, part of Event schema
10. End date (fb:time.event.end_date): links to type Date/Time, part of Event schema

No other items found

[Assistant]
The property "Location(s)" (fb:time.event.locations) is the relevant property to find the location of the 2012 Masters Tournament.

I will now write a SPARQL query to get the location of the 2012 Masters Tournament using this property.

[Tool]
Got 1 row and 2 columns:
| location                                    | locationLabel                     |
| ------------------------------------------- | --------------------------------- |
| Augusta National Golf Course (fb:m.04tk4bp) | Augusta National Golf Course (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The system correctly identified the location of the 2012 Masters Tournament as the Augusta National Golf Course. The SPARQL query is well-formed, uses the appropriate entity and property, and retrieves the location along with its English label. The answer is accurate and complete for the user's question.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?placeLived ?placeLivedLabel WHERE {
  fb:m.0g7km1 fb:people.person.places_lived ?placeLived .
  OPTIONAL {
    ?placeLived rdfs:label ?placeLivedLabel .
    FILTER ( lang( ?placeLivedLabel ) = 'en' )
  }
}

Got 3 rows and 2 columns:
| placeLived   | placeLivedLabel |
| ------------ | --------------- |
| fb:m.03pg7h1 |                 |
| fb:m.03pnj_p |                 |
| fb:m.0wh35mh |                 |

The knowledge graph lists three places where Tim Tebow has lived, but none have English labels available. These places may indicate locations where he lived, but it is not explicitly stated that these are where he grew up. Therefore, the exact place where Tim Tebow grew up is not clearly available in the knowledge graph.

[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 did tim tebow grow up?

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

[Tool]
Example 1:
Question:
where did tim mcgraw grew up?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02lk95 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02lk95 fb:people.person.place_of_birth ?x .
}

Using entities:
Tim McGraw, also known as Samuel Timothy "Tim" McGraw, Samuel Timothy Smith, Samuel Timothy McGraw (fb:m.02lk95): Samuel Timothy "Tim" McGraw is an American country music singer ...y music history, and one of the Top 5 among all genres of music., has type Musical Artist

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

Example 2:
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 3:
Question:
what is tim tebow's religion?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0g7km1 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0g7km1 fb:people.person.religion ?x .
}

Using entities:
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:
Religion (fb:people.person.religion): links to type Religion, part of Person schema

[Assistant]
From the examples, I see that Tim Tebow is identified as fb:m.0g7km1 in Freebase. The property for place of birth or where someone grew up might be related to "place_of_birth" or similar location properties.

I will now search for properties of Tim Tebow that might indicate where he grew up. This will help me find the exact property to use in the query.

[Tool]
Top 10 property alternatives:
1. Parents (fb:people.person.parents): part of Person schema, links to type Person
2. Passing (fb:american_football.football_player.passing): links to type Player Passing Statistics, part of American football player schema
3. Gender (fb:people.person.gender): part of Person schema, links to type Gender
4. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
5. Daylife Topic (fb:common.identity.daylife_topic): links to type Enumeration, part of Identity schema
6. Name (fb:type.object.name): part of Object schema, links to type Text
7. Nickname (fb:base.schemastaging.context_name.nickname): part of Context name schema, links to type Text
8. Height (fb:people.person.height_meters): links to type Floating Point Number, part of Person schema
9. Type (fb:type.object.type): part of Object schema, links to type Type
10. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema

No other items found

[Assistant]
The property "Place of birth" (fb:people.person.place_of_birth) is the closest relevant property to where Tim Tebow grew up. Typically, place of birth is used to indicate the location someone is originally from, which often corresponds to where they grew up.

I will now write a SPARQL query to get the place of birth for Tim Tebow (fb:m.0g7km1).

[Tool]
Got 1 row and 2 columns:
| placeOfBirth         | placeOfBirthLabel |
| -------------------- | ----------------- |
| Makati (fb:m.01dvzy) | Makati (en)       |

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The question asks where Tim Tebow grew up, but the SPARQL query retrieves his place of birth instead. Place of birth is not necessarily the same as where someone grew up. The query should be refined to find a property related to where Tim Tebow grew up, such as 'hometown' or 'place of upbringing' if available in Freebase. If no direct property exists, the system should indicate that it cannot find the answer rather than returning place of birth. Therefore, the current answer is incorrect and the query needs to be reworked.

[Assistant] Thank you for the feedback. I understand that "place of birth" is not the same as "where someone grew up." I will now search for properties related to "hometown" or "place of upbringing" specifically for Tim Tebow in Freebase to see if such a property exists. If no such property is found, I will indicate that the information is not available.

[Tool]
Top 10 property alternatives:
1. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
2. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
3. Places lived (fb:people.person.places_lived): links to type Place lived, part of Person schema
4. Profession (fb:people.person.profession): links to type Profession, part of Person schema
5. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
6. Official name (fb:base.schemastaging.context_name.official_name): part of Context name schema, links to type Text
7. Official website (fb:common.topic.official_website): part of Topic schema, links to type URI
8. Name (fb:type.object.name): part of Object schema, links to type Text
9. Teams (fb:sports.pro_athlete.teams): links to type Sports team roster, part of Athlete schema
10. Nickname (fb:base.schemastaging.context_name.nickname): part of Context name schema, links to type Text

No other items found

[Assistant]
There is a property "Places lived" (fb:people.person.places_lived) for Tim Tebow, which might indicate locations where he has lived, potentially including where he grew up.

I will now query the places Tim Tebow has lived to see if there is information about where he grew up.

[Tool]
Got 3 rows and 2 columns:
| placeLived   | placeLivedLabel |
| ------------ | --------------- |
| fb:m.03pg7h1 |                 |
| fb:m.03pnj_p |                 |
| fb:m.0wh35mh |                 |

[Assistant] Tim Tebow has three places listed under "places lived," but none of them have English labels directly available in the query results. I will now try to get the English labels for these places to identify them.

[Tool]
Got 3 rows and 2 columns:
| place        | placeLabel |
| ------------ | ---------- |
| fb:m.03pg7h1 |            |
| fb:m.03pnj_p |            |
| fb:m.0wh35mh |            |

[Assistant]
The places where Tim Tebow has lived do not have English labels available in the knowledge graph. Since there is no direct property for "where Tim Tebow grew up" and the places lived do not provide clear information, I cannot determine where Tim Tebow grew up from the available data.

I will now finalize the answer indicating that the information is not available.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The system correctly identified that the knowledge graph does not provide a direct property for 'where Tim Tebow grew up' and retrieved places he has lived. However, the answer is incomplete because it does not attempt to retrieve labels for these places to make the answer human-readable. The SPARQL query should be refined to include optional retrieval of rdfs:label or another label property for the places lived, so that the user can understand the locations. Additionally, the answer should clarify that these places are where he lived, which may or may not correspond exactly to where he grew up. This would improve the completeness and usability of the answer.

[Assistant] Thank you for the feedback. I will refine the SPARQL query to include optional retrieval of labels for the places Tim Tebow has lived, so the answer is more human-readable. I will also clarify in the answer that these places are where he lived, which may or may not correspond exactly to where he grew up.

[Tool]
Got 3 rows and 2 columns:
| placeLived   | placeLivedLabel |
| ------------ | --------------- |
| fb:m.03pg7h1 |                 |
| fb:m.03pnj_p |                 |
| fb:m.0wh35mh |                 |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?endLocation ?endLocationLabel WHERE {
  fb:m.04ykz fb:geography.river.mouth ?endLocation .
  OPTIONAL {
    ?endLocation rdfs:label ?endLocationLabel .
    FILTER ( lang( ?endLocationLabel ) = 'en' )
  }
}

Got 1 row and 2 columns:
| endLocation                    | endLocationLabel       |
| ------------------------------ | ---------------------- |
| Mississippi River (fb:m.04yf_) | Mississippi River (en) |

The Missouri River ends at the Mississippi River.

[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 the missouri river ends?

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

[Tool]
Example 1:
Question:
where does missouri river end?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.04ykz ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.04ykz fb:geography.river.mouth ?x .
}

Using entities:
Missouri River (fb:m.04ykz): The Missouri River is the longest river in North America. Rising...coming part of the United States through the Louisiana Purchase., has type River

Using properties:
Mouth (fb:geography.river.mouth): links to type Location, part of River schema

Example 2:
Question:
what states does the missouri river touch?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.04ykz ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.04ykz fb:location.location.partially_containedby ?x .
  ?x fb:base.biblioness.bibs_location.loc_type ?sk0 .
  FILTER ( str( ?sk0 ) = "State" )
}

Using entities:
Missouri River (fb:m.04ykz): The Missouri River is the longest river in North America. Rising...coming part of the United States through the Louisiana Purchase., has type River

Using properties:
Type (fb:base.biblioness.bibs_location.loc_type): part of Bibs Location schema, links to type Text
Partially contained by (fb:location.location.partially_containedby): part of Location schema, links to type Location

Example 3:
Question:
where does the zambezi river end?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0p_70 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0p_70 fb:geography.river.mouth ?x .
}

Using entities:
Zambezi, also known as Zambezi River (fb:m.0p_70): The Zambezi is the fourth-longest river in Africa, the longest e...Africa. There is also a smaller power station at Victoria Falls., has type River

Using properties:
Mouth (fb:geography.river.mouth): links to type Location, part of River schema

[Assistant] From the similar examples, the Missouri River is identified as fb:m.04ykz in Freebase. The property that indicates where a river ends is fb:geography.river.mouth. I will now write a SPARQL query to find the location where the Missouri River ends using this property.

[Tool]
Got 1 row and 2 columns:
| endLocation                    | endLocationLabel       |
| ------------------------------ | ---------------------- |
| Mississippi River (fb:m.04yf_) | Mississippi River (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the mouth (end location) of the Missouri River using the property fb:geography.river.mouth. The query returns the identifier and the English label of the end location, which is the Mississippi River. The answer provided is accurate and complete based on the query result. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?placeOfDeath ?placeOfDeathLabel WHERE {
  fb:m.01vsl3_ fb:people.deceased_person.place_of_death ?placeOfDeath .
  OPTIONAL {
    ?placeOfDeath rdfs:label ?placeOfDeathLabel FILTER ( lang( ?placeOfDeathLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| placeOfDeath                | placeOfDeathLabel  |
| --------------------------- | ------------------ |
| New York City (fb:m.02_286) | New York City (en) |

John Lennon died in New York City.

[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 do john lennon die?

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

[Tool]
Example 1:
Question:
where was john lennon standing when he was shot?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01vsl3_ ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01vsl3_ fb:people.deceased_person.place_of_death ?x .
}

Using entities:
John Lennon, also known as The Beatles, John, Plastic Ono Band, Lennon, John Winston Ono Lennon MBE (fb:m.01vsl3_): John Winston Ono Lennon MBE was an English singer and songwriter... wit in his music, writing, drawings, on film and in interviews., has type Musical Artist

Using properties:
Place of death (fb:people.deceased_person.place_of_death): part of Deceased Person schema, links to type Location

Example 2:
Question:
who shot j lennon?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01vsl3_ ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01vsl3_ fb:user.alexander.misc.murdered_person.murdered_by ?x .
}

Using entities:
John Lennon, also known as The Beatles, John, Plastic Ono Band, Lennon, John Winston Ono Lennon MBE (fb:m.01vsl3_): John Winston Ono Lennon MBE was an English singer and songwriter... wit in his music, writing, drawings, on film and in interviews., has type Musical Artist

Using properties:
Murdered By (fb:user.alexander.misc.murdered_person.murdered_by): part of Murdered Person schema, links to type Murderer

Example 3:
Question:
where did reagan die?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.06c0j ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.06c0j fb:people.deceased_person.place_of_death ?x .
}

Using entities:
Ronald Reagan, also known as Rawhide, Ronald Wilson Reagan, Ronald 'Dutch' Reagan, Ronald Regan, Ronnie (fb:m.06c0j): Ronald Wilson Reagan was an American politician, commentator, an...rk of supporters, he was elected Governor of California in 1966., has type US President

Using properties:
Place of death (fb:people.deceased_person.place_of_death): part of Deceased Person schema, links to type Location

[Assistant] From the similar examples, it is clear that John Lennon is represented by the entity fb:m.01vsl3_ in Freebase. The property for place of death is fb:people.deceased_person.place_of_death. I will now write a SPARQL query to find the place where John Lennon died using these details.

[Tool]
Got 1 row and 2 columns:
| placeOfDeath                | placeOfDeathLabel  |
| --------------------------- | ------------------ |
| New York City (fb:m.02_286) | New York City (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the place of death for John Lennon using the appropriate property from the freebase knowledge graph. The query returns the identifier and the English label for the place of death, which is New York City. The answer provided is accurate and matches the query result. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?location ?locationLabel WHERE {
  fb:m.060_7 fb:people.person.places_lived ?placeLived .
  ?placeLived fb:people.place_lived.location ?location .
  OPTIONAL {
    ?location rdfs:label ?locationLabel FILTER ( lang( ?locationLabel ) = "en" )
  }
}

Got 3 rows and 2 columns:
| location             | locationLabel |
| -------------------- | ------------- |
| Málaga (fb:m.01978d) | Málaga (en)   |
| Madrid (fb:m.056_y)  | Madrid (en)   |
| France (fb:m.0f8l9c) | France (en)   |

Pablo Picasso lived in Málaga, Madrid, and France according to the knowledge graph.

[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 all did picasso live?

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

[Tool]
Example 1:
Question:
where did pablo picasso die?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.060_7 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.060_7 fb:people.deceased_person.place_of_death ?x .
}

Using entities:
Pablo Picasso, also known as Picasso, Picaso, Pablo Ruiz y Picasso, Pablo Diego José Francisco de Pa...antísima Trinidad Ruiz y Picasso (fb:m.060_7): Pablo Ruiz y Picasso, also known as Pablo Picasso, was a Spanish... in a naturalistic manner through his childhood and adolescence., has type Visual Artist

Using properties:
Place of death (fb:people.deceased_person.place_of_death): part of Deceased Person schema, links to type Location

Example 2:
Question:
what art movement was pablo picasso part of?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.060_7 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.060_7 fb:visual_art.visual_artist.associated_periods_or_movements ?x .
}

Using entities:
Pablo Picasso, also known as Picasso, Picaso, Pablo Ruiz y Picasso, Pablo Diego José Francisco de Pa...antísima Trinidad Ruiz y Picasso (fb:m.060_7): Pablo Ruiz y Picasso, also known as Pablo Picasso, was a Spanish... in a naturalistic manner through his childhood and adolescence., has type Visual Artist

Using properties:
Associated periods or movements (fb:visual_art.visual_artist.associated_periods_or_movements): links to type Art Period/Movement, part of Visual Artist schema

Example 3:
Question:
where did nadia boulanger live?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02cx2m ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02cx2m fb:people.person.places_lived ?y .
  ?y fb:people.place_lived.location ?x .
}

Using entities:
Nadia Boulanger, also known as Boulanger, Nadia (fb:m.02cx2m): Juliette Nadia Boulanger was a French composer, conductor, and t...vid Diamond, Daniel Barenboim, Philip Glass and Ástor Piazzolla., has type Composer

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

[Assistant]
From the similar examples, we see that for a person like Picasso, the property "places lived" (fb:people.person.places_lived) is used to find places where the person lived. Then the location of each place lived can be retrieved using the property "location" (fb:people.place_lived.location).

Next, I will search for the entity corresponding to "Picasso" in the knowledge graph to get his identifier. Then I will use that identifier to query the places where Picasso lived.

[Tool]
Top 10 entity alternatives:
1. Pablo Picasso, also known as Picasso, Picaso, Pablo Ruiz y Picasso, Pablo Diego José Francisco de Pa...antísima Trinidad Ruiz y Picasso (fb:m.060_7): Pablo Ruiz y Picasso, also known as Pablo Picasso, was a Spanish... in a naturalistic manner through his childhood and adolescence., has type Visual Artist
2. Philipp Petzschner, also known as Picasso, Petsche (fb:m.02z3b_2): Philipp Petzschner is a professional German tennis player. He is...doubles ranking is world no. 9, which he achieved in April 2011., has type Tennis Player
3. Radu Sîrbu, also known as Picasso, RadU (fb:m.0c0q2b): Radu Sîrbu is a Moldovan singer. He was part of the Moldovan pop...trio O-Zone. He currently lives and works in Bucharest, Romania., has type Musical Artist
4. The Mystery of Picasso, also known as Mysteriet Picasso, The Mystery Of Picasso, Picasso rejtélye, Picasso - arvoitus, Picasso (fb:m.02z5c5x): The Mystery of Picasso is a 1956 French documentary film about t...mentary film Visit to Picasso did it almost seven years earlier., has type Award-Winning Work
5. Picasso, also known as ピカソ (fb:m.01v0mvv): Picasso is a Japanese rock band which made its debut in 1984 wit...ronom Records in 2000 in order to produce and handle new talent., has type Musical Group
6. Picasso (fb:m.03b9ht_): has type Musical Release
7. Pablo Picasso, also known as Paulo Picasso, Picasso (fb:m.02nwkwh): Picasso is a fictional character in the 1978 film The Adventures of Picasso., Pablo Picasso is a fictional character in the 2011 film Midnight in Paris, Pablo Picasso is a fictional character in the 2012 film The Picasso Gang., The representation in fiction of the Spanish artist Pablo Picasso., has type Film character
8. Picasso, also known as Picasso at Bellagio (fb:m.0p3k0f7): Picasso is a two Michelin star restaurant run by chef Julian Ser...idered to be one of the finest restaurants in the United States., Picasso at Bellagio is a 2011 JBF Awards nominated restaurant in Las Vegas., has type Award-Winning Work
9. Picasso (fb:m.010_1tky): has type Consumer product
10. Picasso (fb:m.0fjfgf1): has type Musical Release

[Assistant] The entity for Pablo Picasso is fb:m.060_7. Now I will query the places where Pablo Picasso lived using the properties fb:people.person.places_lived and fb:people.place_lived.location.

[Tool]
Got 3 rows and 2 columns:
| location             | locationLabel |
| -------------------- | ------------- |
| Málaga (fb:m.01978d) | Málaga (en)   |
| Madrid (fb:m.056_y)  | Madrid (en)   |
| France (fb:m.0f8l9c) | France (en)   |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the locations where Pablo Picasso lived by using the properties 'places_lived' and 'location'. The query returns the IRIs and English labels of the locations, which is appropriate and follows the rules. The answer is accurate and complete based on the knowledge graph data, listing Málaga, Madrid, and France. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?language ?languageLabel WHERE {
  fb:m.06q1r fb:location.country.languages_spoken ?language .
  OPTIONAL {
    ?language rdfs:label ?languageLabel .
    FILTER ( lang( ?languageLabel ) = 'en' )
  }
}

Got 5 rows and 2 columns:
| language                       | languageLabel         |
| ------------------------------ | --------------------- |
| British English (fb:m.01bvf)   | British English (en)  |
| Scottish English (fb:m.01v58_) | Scottish English (en) |
| Old English (fb:m.05p2d)       | Old English (en)      |
| Scottish Gaelic (fb:m.070zw)   | Scottish Gaelic (en)  |
| Scots Language (fb:m.0h407)    | Scots Language (en)   |

The languages spoken in Scotland include British English, Scottish English, Old English, Scottish Gaelic, and Scots Language. The official language of Scotland is English Language.

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

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

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

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

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

[User] what language they speak in scotland?

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

[Tool]
Example 1:
Question:
what does scottish people speak?

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

Using entities:
Scotland, also known as Scotia (fb:m.06q1r): Scotland is a country that is part of the United Kingdom and cov...tate in the Early Middle Ages and continued to exist until 1707., has type Country

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

Example 2:
Question:
what languages do scottish people speak?

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

Using entities:
Scotland, also known as Scotia (fb:m.06q1r): Scotland is a country that is part of the United Kingdom and cov...tate in the Early Middle Ages and continued to exist until 1707., has type Country

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

Example 3:
Question:
what languages do scottish people speak?

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

Using entities:
Scotland, also known as Scotia (fb:m.06q1r): Scotland is a country that is part of the United Kingdom and cov...tate in the Early Middle Ages and continued to exist until 1707., has type Country

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

[Assistant]
From the similar examples, it appears that Scotland is represented by the entity fb:m.06q1r in Freebase. The properties related to languages spoken in a country are fb:location.country.languages_spoken and fb:location.country.official_language.

I will now write a SPARQL query to get the languages spoken in Scotland using these properties. I will start with the property fb:location.country.languages_spoken.

[Tool]
Got 5 rows and 2 columns:
| language                       | languageLabel         |
| ------------------------------ | --------------------- |
| British English (fb:m.01bvf)   | British English (en)  |
| Scottish English (fb:m.01v58_) | Scottish English (en) |
| Old English (fb:m.05p2d)       | Old English (en)      |
| Scottish Gaelic (fb:m.070zw)   | Scottish Gaelic (en)  |
| Scots Language (fb:m.0h407)    | Scots Language (en)   |

[Assistant]
The languages spoken in Scotland according to the property fb:location.country.languages_spoken are British English, Scottish English, Old English, Scottish Gaelic, and Scots Language.

I will also check the property fb:location.country.official_language to see if there are any official languages listed for Scotland.

[Tool]
Got 1 row and 2 columns:
| officialLanguage                | officialLanguageLabel |
| ------------------------------- | --------------------- |
| English Language (fb:m.02h40lc) | English Language (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the languages spoken in Scotland by using the property 'languages_spoken' linked to the country entity for Scotland. The query also optionally retrieves English labels for the languages, which is helpful for readability. The result includes relevant languages such as British English, Scottish English, Old English, Scottish Gaelic, and Scots Language, which aligns well with known linguistic facts about Scotland. The answer is complete and accurate, and the query follows the rules by returning identifiers and labels optionally. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?final ?label ?start_date WHERE {
  VALUES ?final {
    fb:m.02d0888 fb:m.02d08_f fb:m.02d0905 fb:m.02d091w fb:m.02w00qq fb:m.03by199 fb:m.03by19p fb:m.03cb8gz fb:m.03cjdxg fb:m.03cjpsk
  }
  ?final rdfs:label ?label .
  ?final fb:time.event.start_date ?start_date .
}
ORDER BY DESC ( ?start_date )
LIMIT 1

The last time the Toronto Maple Leafs were in the Stanley Cup Finals was in 1967, specifically starting on April 20, 1967.

[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] when was the last time the toronto maple leafs were in the stanley cup finals?

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

[Tool]
Example 1:
Question:
when did kings last win stanley cup?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0jnq8 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0jnq8 fb:sports.sports_team.championships ?x .
  ?x fb:time.event.end_date ?sk0 .
}
ORDER BY DESC ( xsd:datetime ( ?sk0 ) )
LIMIT 1

Using entities:
Los Angeles Kings, also known as Los Angeles Kings Hockey Club (fb:m.0jnq8): The Los Angeles Kings are a professional ice hockey team based i...of the franchise that raised hockey's popularity in Los Angeles., Los Angeles Kings Hockey Club  is a 2013 Telly Award winner., has type Professional Sports Team

Using properties:
Championships (fb:sports.sports_team.championships): links to type Sports League Championship Event, part of Sports Team schema
End date (fb:time.event.end_date): links to type Date/Time, part of Event schema

Example 2:
Question:
what sport do the toronto maple leafs play?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0j6tr ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0j6tr fb:sports.sports_team.sport ?x .
}

Using entities:
Toronto Maple Leafs, also known as The Leafs, (fb:m.0j6tr): The Toronto Maple Leafs is a professional ice hockey team based ...ought between championships is currently the longest in the NHL., has type Professional Sports Team

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

Example 3:
Question:
what sport do the toronto maple leafs play?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0j6tr ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0j6tr fb:base.events.event_presenting_organisation.event_feed ?y .
  ?y fb:base.events.event_feed.type_of_event ?x .
}

Using entities:
Toronto Maple Leafs, also known as The Leafs, (fb:m.0j6tr): The Toronto Maple Leafs is a professional ice hockey team based ...ought between championships is currently the longest in the NHL., has type Professional Sports Team

Using properties:
Type of event (fb:base.events.event_feed.type_of_event): links to type Type of event, part of Event feed schema
Event feed (fb:base.events.event_presenting_organisation.event_feed): part of Event presenter schema, links to type Event feed

[Assistant]
From the similar examples, I see that the Toronto Maple Leafs entity is fb:m.0j6tr and the property for championships or sports team championships is fb:sports.sports_team.championships. The example for the Los Angeles Kings shows how to get the last championship by ordering the end date of the championship event.

I will now try to find the last time the Toronto Maple Leafs were in the Stanley Cup finals by querying their championships and ordering by the end date of the event. I will check if the championship event is related to the Stanley Cup.

[Tool] Got no rows and 2 columns

[Assistant]
The query did not return any results, which means the championships property for the Toronto Maple Leafs may not directly link to Stanley Cup finals events or the label filter might be too restrictive.

I will try a different approach: I will look for events related to the Toronto Maple Leafs and check if any of these events are Stanley Cup finals. Then I will order by the end date of those events to find the last time they were in the Stanley Cup finals. First, I will search for properties of the Toronto Maple Leafs that might relate to events or championships.

[Tool]
Top 10 property alternatives:
1. Championships (fb:sports.sports_team.championships): links to type Sports League Championship Event, part of Sports Team schema
2. Sport (fb:sports.sports_team.sport): part of Sports Team schema, links to type Sport
3. Venue (fb:sports.sports_team.venue): links to type Team/venue relationship, part of Sports Team schema
4. Arena (fb:user.rcheramy.default_domain.hockey_team.arena): links to type Building complex, part of Hockey Team schema
5. Sports Team Location (fb:sports.sports_team.location): links to type Sports Team Location, part of Sports Team schema
6. Conference (fb:ice_hockey.hockey_team.conference): links to type Ice hockey conference, part of Ice hockey team schema
7. Key (fb:type.object.key): part of Object schema, links to type Key
8. Arena/Stadium (fb:sports.sports_team.arena_stadium): links to type Sports Facility, part of Sports Team schema
9. Roster (fb:sports.sports_team.roster): links to type Sports team roster, part of Sports Team schema
10. Coach (fb:ice_hockey.hockey_team.coach): links to type Ice hockey coach, part of Ice hockey team schema

No other items found

[Assistant] The property fb:sports.sports_team.championships is the main property linking the Toronto Maple Leafs to championship events. Since the previous query with a label filter for "stanley cup" returned no results, I will try to find the championships of the Toronto Maple Leafs without the label filter and inspect the results to see if any of them are Stanley Cup finals.

[Tool]
Got 10 rows and 2 columns:
| championship                           | label                        |
| -------------------------------------- | ---------------------------- |
| 1949 Stanley Cup Finals (fb:m.02d0888) | 1949 Stanley Cup Finals (en) |
| 1942 Stanley Cup Finals (fb:m.02d08_f) | 1942 Stanley Cup Finals (en) |
| 1963 Stanley Cup Finals (fb:m.02d0905) | 1963 Stanley Cup Finals (en) |
| 1945 Stanley Cup Finals (fb:m.02d091w) | 1945 Stanley Cup Finals (en) |
| 1932 Stanley Cup Finals (fb:m.02w00qq) | 1932 Stanley Cup Finals (en) |
| 1967 Stanley Cup Finals (fb:m.03by199) | 1967 Stanley Cup Finals (en) |
| 1964 Stanley Cup Finals (fb:m.03by19p) | 1964 Stanley Cup Finals (en) |
| 1962 Stanley Cup Finals (fb:m.03cb8gz) | 1962 Stanley Cup Finals (en) |
| 1951 Stanley Cup Finals (fb:m.03cjdxg) | 1951 Stanley Cup Finals (en) |
| 1948 Stanley Cup Finals (fb:m.03cjpsk) | 1948 Stanley Cup Finals (en) |

[Assistant] The Toronto Maple Leafs have several Stanley Cup Finals events linked as championships. Now I will find the end dates of these Stanley Cup Finals events and order them by date to find the last time they were in the Stanley Cup Finals.

[Tool] Got no rows and 3 columns

[Assistant] It seems the specific Stanley Cup Finals events do not have an end date property in the knowledge graph. I will try to find any date-related properties for one of these Stanley Cup Finals events to see if there is a different property used for the date. I will check the properties of the 1967 Stanley Cup Finals event (fb:m.03by199).

[Tool]
Got 46 rows and 3 columns, showing the first 10 rows below:
| subject                                | property                                                                           | object                                                                   |
| -------------------------------------- | ---------------------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| 1967 Stanley Cup Finals (fb:m.03by199) | Type (fb:type.object.type)                                                         | Topic (fb:common.topic)                                                  |
| 1967 Stanley Cup Finals (fb:m.03by199) | Key (fb:type.object.key)                                                           | /en/1967_stanley_cup_finals                                              |
| 1967 Stanley Cup Finals (fb:m.03by199) | Name (fb:type.object.name)                                                         | 1967 Stanley Cup Finals (en)                                             |
| 1967 Stanley Cup Finals (fb:m.03by199) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage)                | <http://en.wikipedia.org/wiki/1967_Stanley_Cup_Finals>                   |
| 1967 Stanley Cup Finals (fb:m.03by199) | Notable for (fb:common.topic.notable_for)                                          | fb:g.1259tdqtv                                                           |
| 1967 Stanley Cup Finals (fb:m.03by199) | Notable types (fb:common.topic.notable_types)                                      | Sports League Championship Event (fb:m.025b7q2)                          |
| 1967 Stanley Cup Finals (fb:m.03by199) | Description (fb:common.topic.description)                                          | The 1967 Stanley Cup Final was a...p Final in the Original Six Era. (en) |
| 1967 Stanley Cup Finals (fb:m.03by199) | Article (fb:common.topic.article)                                                  | fb:m.03by19f                                                             |
| 1967 Stanley Cup Finals (fb:m.03by199) | Start date (fb:time.event.start_date)                                              | 1967-04-20 (xsd:date)                                                    |
| 1967 Stanley Cup Finals (fb:m.03by199) | Question ID (fb:user.alust.default_domain.processed_with_review_queue.question_id) | /rabj/store/questions/question_86596031b884ede4                          |
| ...                                    | ...                                                                                | ...                                                                      |

[Assistant] The 1967 Stanley Cup Finals event has a property fb:time.event.start_date with a date value. I will now query the start dates of all the Stanley Cup Finals events for the Toronto Maple Leafs and order by the start date to find the last time they were in the Stanley Cup Finals.

[Tool]
Got 1 row and 3 columns:
| final                                  | label                        | start_date            |
| -------------------------------------- | ---------------------------- | --------------------- |
| 1967 Stanley Cup Finals (fb:m.03by199) | 1967 Stanley Cup Finals (en) | 1967-04-20 (xsd:date) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The system correctly identified the last time the Toronto Maple Leafs were in the Stanley Cup Finals as 1967, with the start date April 20, 1967. The SPARQL query appropriately selected from known Stanley Cup Finals events involving the team and ordered them by start date descending, limiting to the most recent one. The answer is accurate, complete, and the query follows best practices by returning the event identifier, label, and start date. No further refinement is necessary.