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, we see that Barack Obama is identified as fb:m.02mjmr in Freebase. The property fb:people.person.place_of_birth can be used to find his place of birth. Then, to find the state, we can use the property fb:location.location.containedby to find the state that contains the place of birth. The state is of type fb:m.0kpys4 (US State).

I will now write and execute a SPARQL query to find the state Barack Obama is from based on his place of birth.

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

[Tool] Stopped generation process


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

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

East Timor (Timor-Leste) speaks multiple languages including Bunak, English, Habu, Kemak, Makuv'a, Idalaka, Bekais, Dawan, Wetarese, 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 examples, we see that the entity for a country is used with properties like fb:location.country.official_language or fb:location.country.languages_spoken to get the languages spoken in that country.

Next, I will search for the entity corresponding to "East Timor" in the knowledge graph.

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

[Assistant]
The entity for East Timor as a country is "Timor-Leste" with the identifier fb:m.02lx0.

Next, I will search for the 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 (Timor-Leste):
- fb:location.country.languages_spoken
- fb:location.country.official_language

I will now write a SPARQL query to get the languages spoken and official languages of East Timor (Timor-Leste) 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)      |

[Assistant]
East Timor (Timor-Leste) speaks multiple languages including Bunak Language, English Language, Habu Language, Kemak Language, Makuv'a Language, Idalaka, Bekais, Dawan, Wetarese, and Tetun-Terik among others.

I will now finalize the answer with the SPARQL query and the summarized answer.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?state WHERE {
  fb:m.018qjq fb:location.location.partially_containedby ?state .
  ?state fb:common.topic.notable_types fb:m.0kpys4 .
}

Got 5 rows and 1 column:
| state                   |
| ----------------------- |
| Colorado (fb:m.01n4w)   |
| California (fb:m.01n7q) |
| Nevada (fb:m.059_c)     |
| Utah (fb:m.07srw)       |
| Arizona (fb:m.0vmt)     |

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 similar examples, we see that the property fb:location.location.partially_containedby is used to find the states that a river runs through. Also, the entity for the river is used as the subject, and the object is filtered to be of type "State."

Next, I will search for the entity corresponding to the "Colorado River" in the freebase 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 we are interested in is most likely the first one (fb:m.018qjq), which is described as one of the principal rivers of the Southwestern United States.

Next, I will construct a SPARQL query to find the states that this Colorado River runs through using the property fb:location.location.partially_containedby and filtering for states.

[Tool]
Got 5 rows and 1 column:
| state                   |
| ----------------------- |
| Colorado (fb:m.01n4w)   |
| California (fb:m.01n7q) |
| Nevada (fb:m.059_c)     |
| Utah (fb:m.07srw)       |
| Arizona (fb:m.0vmt)     |

[Tool] Stopped generation process


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 Augusta Masters 2012 is 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]
The examples show that for events like sports tournaments or championships, the location is typically linked with the property fb:time.event.locations. The event entity is identified by a specific Freebase ID.

Next, I will search for the entity "Augusta Masters 2012" in the Freebase knowledge graph to find the corresponding event entity. Then I will query its location using the property fb:time.event.locations.

[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 query the location of this event using the property fb:time.event.locations.

[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


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

Got 1 row and 2 columns:
| place                | placeLabel  |
| -------------------- | ----------- |
| Makati (fb:m.01dvzy) | Makati (en) |

Tim Tebow grew up in Makati according to the place of birth information in Freebase.

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

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

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

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

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

[User] 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 similar examples, I see that Tim Tebow is identified as fb:m.0g7km1 in Freebase. The property related to the place where a person grew up might be related to place of birth or hometown. I will start by checking the properties of Tim Tebow to find a suitable property for "where did Tim Tebow grow up".

[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 available for Tim Tebow, but there is no direct property for "grew up" or "hometown" in the list. Since "place of birth" is the closest property related to location and often used to indicate where someone grew up, I will query the place of birth for Tim Tebow.

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

[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 "mouth" with the property IRI fb:geography.river.mouth.

I will now construct 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


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?placeOfDeath WHERE {
  fb:m.01vsl3_ fb:people.deceased_person.place_of_death ?placeOfDeath .
}

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 examples, I see that John Lennon is identified as 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 identifiers.

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

[Tool] Stopped generation process


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 Freebase 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 examples, we see that for a person, the property fb:people.person.places_lived can be used to find places where the person lived. Then from the place lived entity, we can get the actual location using fb:people.place_lived.location.

Next, I will search for the entity "Pablo Picasso" in Freebase to get his identifier.

[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. Pablo Picasso (fb:m.0q14lh): has type Musical Recording
3. Pablo Picasso (fb:m.0bzr6t): "Pablo Picasso" is a song written by Jonathan Richman for the pr... inspired by his own adolescent "self-consciousness" with women., has type Composition
4. Pablo Picasso (fb:m.0v6f_9): has type Musical Recording
5. 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
6. Pablo Picasso (fb:m.0mn_6p): has type Musical Recording
7. Pablo Picasso (fb:m.0rwl_r): has type Musical Recording
8. Pablo Picasso (fb:m.015p6kc): has type Musical Recording
9. Pablo Picasso (fb:m.0c7cdkf): has type Book Edition
10. Pablo Picasso (fb:m.011mbtb): has type Musical Recording

[Assistant] The entity for Pablo Picasso as a visual artist is fb:m.060_7. Now I will search for the properties of this entity related to places lived.

[Tool]
Top 10 property alternatives:
1. Places lived (fb:people.person.places_lived): links to type Place lived, part of Person schema
2. Place of death (fb:people.deceased_person.place_of_death): part of Deceased Person schema, links to type Location
3. Place of burial (fb:people.deceased_person.place_of_burial): links to type Place of interment, part of Deceased Person schema
4. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
5. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
6. Daylife Topic (fb:common.identity.daylife_topic): links to type Enumeration, part of Identity schema
7. Things named after this (fb:symbols.name_source.namesakes): part of Name source schema, links to type Namesake
8. Notable for (fb:common.topic.notable_for): links to type notable_for, part of Topic schema
9. Ethnicity (fb:people.person.ethnicity): links to type Ethnicity, part of Person schema
10. Profession (fb:people.person.profession): links to type Profession, part of Person schema

No other items found

[Assistant] The property fb:people.person.places_lived is the relevant property for places where Pablo Picasso lived. This property links to entities of type Place lived. Next, I will query the places where Picasso lived and get the locations of those places.

[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


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 | fb:location.country.official_language ) ?language .
  OPTIONAL {
    ?language rdfs:label ?languageLabel
  }
  FILTER ( ! isLiteral( ?languageLabel ) || lang( ?languageLabel ) = '' || langMatches( lang( ?languageLabel ) , 'en' ) )
}

Got 9 rows and 2 columns:
| language                        | languageLabel            |
| ------------------------------- | ------------------------ |
| British English (fb:m.01bvf)    | British English (en)     |
| Scottish English (fb:m.01v58_)  | Scottish English (en)    |
| English Language (fb:m.02h40lc) | English Language (en)    |
| English Language (fb:m.02h40lc) | English Language (en-GB) |
| English Language (fb:m.02h40lc) | English Language (en-US) |
| Old English (fb:m.05p2d)        | Old English (en)         |
| Scottish Gaelic (fb:m.070zw)    | Scottish Gaelic (en)     |
| Scots Language (fb:m.0h407)     | Scots Language (en)      |
| Scots Language (fb:m.0h407)     | Scots Language (en-US)   |

The languages spoken in Scotland include British English, Scottish English, English Language, Old English, Scottish Gaelic, and Scots 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, the entity for Scotland is fb:m.06q1r. The properties used to find languages spoken in Scotland 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.

[Tool]
Got 9 rows and 2 columns:
| language                        | languageLabel            |
| ------------------------------- | ------------------------ |
| British English (fb:m.01bvf)    | British English (en)     |
| Scottish English (fb:m.01v58_)  | Scottish English (en)    |
| English Language (fb:m.02h40lc) | English Language (en)    |
| English Language (fb:m.02h40lc) | English Language (en-GB) |
| English Language (fb:m.02h40lc) | English Language (en-US) |
| Old English (fb:m.05p2d)        | Old English (en)         |
| Scottish Gaelic (fb:m.070zw)    | Scottish Gaelic (en)     |
| Scots Language (fb:m.0h407)     | Scots Language (en)      |
| Scots Language (fb:m.0h407)     | Scots Language (en-US)   |

[Tool] Stopped generation process