PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?language ?languageLabel WHERE {
  ?place fb:location.country.languages_spoken fb:m.0c4chg .
  ?place fb:location.country.languages_spoken ?language .
  FILTER ( ?language != fb:m.0c4chg ) OPTIONAL {
    ?language rdfs:label ?languageLabel FILTER ( lang( ?languageLabel ) = 'en' )
  }
}

Got 8 rows and 2 columns:
| language                                       | languageLabel                         |
| ---------------------------------------------- | ------------------------------------- |
| Siwi Language (fb:m.012zfy)                    | Siwi Language (en)                    |
| Modern Standard Arabic (fb:m.025rvv7)          | Modern Standard Arabic (en)           |
| Egyptian Arabic (fb:m.02hx2cr)                 | Egyptian Arabic (en)                  |
| Sa'idi Arabic (fb:m.02hxbhg)                   | Sa'idi Arabic (en)                    |
| Arabic, Sudanese Spoken Language (fb:m.035t_3) | Arabic, Sudanese Spoken Language (en) |
| Bedawi Arabic (fb:m.03wc2kf)                   | Bedawi Arabic (en)                    |
| Nobiin Language (fb:m.051bnt)                  | Nobiin Language (en)                  |
| Arabic Language (fb:m.0jzc)                    | Arabic Language (en)                  |

The languages spoken in the place that also speaks Domari include Siwi Language, Modern Standard Arabic, Egyptian Arabic, Sa'idi Arabic, Arabic (Sudanese Spoken Language), Bedawi Arabic, Nobiin Language, and Arabic 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 is spoken in the place that also speaks Domari?

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

[Tool]
Example 1:
Question:
What other language does the country that speaks Domari speak?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:location.country.languages_spoken fb:m.0c4chg .
  ?c fb:location.country.official_language ?x .
}

Using entities:
Domari Language, also known as Tsigene, Dom, Near-eastern Gypsy, Nawari, Nawar (fb:m.0c4chg): Domari is an Indo-Aryan language, spoken by older Dom people sca... historical and dialectological evaluation of secondary sources., has type Human Language

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

Example 2:
Question:
What other languages are spoken in the country that has Domari as its spoken language?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:location.country.languages_spoken fb:m.0c4chg .
  ?c fb:location.country.languages_spoken ?x .
}

Using entities:
Domari Language, also known as Tsigene, Dom, Near-eastern Gypsy, Nawari, Nawar (fb:m.0c4chg): Domari is an Indo-Aryan language, spoken by older Dom people sca... historical and dialectological evaluation of secondary sources., has type Human Language

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

Example 3:
Question:
What languages are also spoken in the place where Domari Language is used?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:location.country.languages_spoken fb:m.0c4chg .
  ?c fb:location.country.official_language ?x .
}

Using entities:
Domari Language, also known as Tsigene, Dom, Near-eastern Gypsy, Nawari, Nawar (fb:m.0c4chg): Domari is an Indo-Aryan language, spoken by older Dom people sca... historical and dialectological evaluation of secondary sources., has type Human Language

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

[Assistant]
From the examples, it seems we need to find the place (likely a country) where Domari is spoken and then find the languages spoken in that place. The entity for Domari language is fb:m.0c4chg. The property for languages spoken in a country is fb:location.country.languages_spoken.

I will now write a query to find the languages spoken in the place that also speaks Domari.

[Tool]
Got 8 rows and 2 columns:
| language                                       | languageLabel                         |
| ---------------------------------------------- | ------------------------------------- |
| Siwi Language (fb:m.012zfy)                    | Siwi Language (en)                    |
| Modern Standard Arabic (fb:m.025rvv7)          | Modern Standard Arabic (en)           |
| Egyptian Arabic (fb:m.02hx2cr)                 | Egyptian Arabic (en)                  |
| Sa'idi Arabic (fb:m.02hxbhg)                   | Sa'idi Arabic (en)                    |
| Arabic, Sudanese Spoken Language (fb:m.035t_3) | Arabic, Sudanese Spoken Language (en) |
| Bedawi Arabic (fb:m.03wc2kf)                   | Bedawi Arabic (en)                    |
| Nobiin Language (fb:m.051bnt)                  | Nobiin Language (en)                  |
| Arabic Language (fb:m.0jzc)                    | Arabic Language (en)                  |

[Tool] Stopped generation process


PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?country ?countryLabel WHERE {
  ?country fb:common.topic.notable_types fb:m.01mp .
  ?country fb:location.country.iso_numeric ?iso .
  FILTER ( xsd:integer ( ?iso ) = 100 ) .
  fb:m.09b69 fb:location.location.contains ?country .
  ?country fb:type.object.name ?countryLabel .
}

Got 44 rows and 2 columns, showing the first 5 and last 5 rows below:
| country               | countryLabel         |
| --------------------- | -------------------- |
| Bulgaria (fb:m.015qh) | Bolgarija (sl)       |
| Bulgaria (fb:m.015qh) | Bugarska (hr)        |
| Bulgaria (fb:m.015qh) | Bulgaaria (et)       |
| Bulgaria (fb:m.015qh) | Bulgaria (en)        |
| Bulgaria (fb:m.015qh) | Bulgaria (es)        |
| ...                   | ...                  |
| Bulgaria (fb:m.015qh) | ประเทศบัลแกเรีย (th) |
| Bulgaria (fb:m.015qh) | 불가리아 (ko)            |
| Bulgaria (fb:m.015qh) | ブルガリア (ja)           |
| Bulgaria (fb:m.015qh) | 保加利亚 (zh)            |
| Bulgaria (fb:m.015qh) | 保加利亞 (zh-Hant)       |

The country with the ISO number of 100 located in Eastern Europe is Bulgaria.

[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 country with the ISO number of 100 is located in Eastern Europe?

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

[Tool]
Example 1:
Question:
Which country with an ISO less than 807 is located in the Balkan Peninsula?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01jjk ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01jjk fb:location.location.contains ?x .
  ?x fb:base.biblioness.bibs_location.loc_type ?sk0 .
  FILTER ( str( ?sk0 ) = "Country" ) ?x fb:location.country.iso_numeric ?num .
  FILTER ( xsd:integer ( ?num ) < 807 ) .
}

Using entities:
Balkans, also known as Balkan Peninsula, Southeastern Europe, South Eastern Europe (fb:m.01jjk): The Balkan Peninsula, popularly referred to as the Balkans, is a...ount Musala 2,925 metres on the Rila mountain range in Bulgaria., has type Region

Using properties:
Type (fb:base.biblioness.bibs_location.loc_type): part of Bibs Location schema, links to type Text
ISO Numeric (fb:location.country.iso_numeric): links to type Enumeration, part of Country schema
Contains (fb:location.location.contains): part of Location schema, links to type Location

Example 2:
Question:
What country with an ISO under 100 borders Greece?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.035qy ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.035qy fb:location.location.adjoin_s ?y .
  ?y fb:location.adjoining_relationship.adjoins ?x .
  ?x fb:common.topic.notable_types fb:m.01mp .
  ?x fb:location.country.iso_numeric ?num .
  FILTER ( xsd:integer ( ?num ) < 100 ) .
}

Using entities:
Country, also known as Empire (fb:m.01mp): The type country in Freebase can and should be used with a varie...s with little population or autonomy will be typed as a country.
Greece, also known as Hellas, Hellenic Republic (fb:m.035qy): Greece, officially the Hellenic Republic and known since ancient...ntainous, of which Mount Olympus is the highest peak at 2,917 m., has type Country

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Adjoins (fb:location.adjoining_relationship.adjoins): part of Adjoining Relationship schema, links to type Location
ISO Numeric (fb:location.country.iso_numeric): links to type Enumeration, part of Country schema
Adjoins (fb:location.location.adjoin_s): links to type Adjoining Relationship, part of Location schema

Example 3:
Question:
With 5 countries bordering Romania, which country has the largest numeric ISO?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.06c1y ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.06c1y fb:location.location.adjoin_s ?y .
  ?y fb:location.adjoining_relationship.adjoins ?x .
  ?x fb:common.topic.notable_types fb:m.01mp .
  ?x fb:location.country.iso_numeric ?num .
}
ORDER BY DESC ( xsd:integer ( ?num ) )
LIMIT 1

Using entities:
Country, also known as Empire (fb:m.01mp): The type country in Freebase can and should be used with a varie...s with little population or autonomy will be typed as a country.
Romania, also known as România (fb:m.06c1y): Romania is a unitary semi-presidential republic located in South...ina and Bessarabia united with the sovereign Kingdom of Romania., has type Country

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Adjoins (fb:location.adjoining_relationship.adjoins): part of Adjoining Relationship schema, links to type Location
ISO Numeric (fb:location.country.iso_numeric): links to type Enumeration, part of Country schema
Adjoins (fb:location.location.adjoin_s): links to type Adjoining Relationship, part of Location schema

[Assistant]
From the examples, I see that the property for the ISO number of a country is fb:location.country.iso_numeric and the type for a country is fb:m.01mp. Also, the location in Eastern Europe can be checked by using a region or location entity for Eastern Europe and the property fb:location.location.contains or similar.

Next, I will search for the entity representing Eastern Europe in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Eastern Europe (fb:m.09b69): Eastern Europe is the eastern part of the European continent. Th...for statistical purposes by various supranational organizations., has type Location
2. Eastern Europe (fb:m.08_mv0z): has type Book Edition
3. Eastern Europe (fb:m.08sh4ch): has type Book Edition
4. Eastern Europe (fb:m.0fb5xtz): has type Musical Recording
5. Eastern Europe (fb:m.07_8bvs): has type Book Edition
6. Eastern Europe (fb:m.08s3z2v): has type Book Edition
7. Eastern Europe (fb:m.0dmg45l): has type Musical Recording
8. Eastern Europe (fb:m.0pltj8): has type Musical Recording
9. Eastern Europe (fb:m.0x2vplj): Slovakia, Hungary and Romania. The halfway point of the Hairy Bi...e, the choice of kings once more prized than any made in France., has type TV Episode
10. Eastern Europe (fb:m.0c7f7gv): has type Book Edition

[Assistant] I found the entity for Eastern Europe as fb:m.09b69 which is of type Location. Now I will write a SPARQL query to find the country with the ISO number 100 located in Eastern Europe using the property fb:location.country.iso_numeric and the location Eastern Europe fb:m.09b69.

[Tool] Got no rows and 1 columns

[Assistant] The query returned no results, which means there might be a different way to represent the location relationship or the ISO number might be stored as a literal that needs to be cast to an integer. I will try to find properties related to location for the entity Eastern Europe to see if there is a different property to use.

[Tool]
Top 10 property alternatives:
1. Name (fb:type.object.name): part of Object schema, links to type Text
2. Description (fb:common.topic.description): part of Topic schema, links to type Text
3. Titles (fb:media_common.netflix_genre.titles): part of Netflix Genre schema, links to type Netflix Title
4. Image (fb:common.topic.image): part of Topic schema, links to type Image
5. Key (fb:type.object.key): part of Object schema, links to type Key
6. Article (fb:common.topic.article): links to type Document, part of Topic schema
7. Type (fb:type.object.type): part of Object schema, links to type Type
8. Events (fb:location.location.events): part of Location schema, links to type Event
9. Contained by (fb:location.location.containedby): part of Location schema, links to type Location
10. Contains (fb:location.location.contains): part of Location schema, links to type Location

No other items found

[Assistant] The property fb:location.location.contains is the correct property to use for locations contained within Eastern Europe. I will now check if the ISO number is stored as a literal and try to cast it to an integer in the query. I will also add labels to the results for better readability.

[Tool]
Got 44 rows and 2 columns, showing the first 5 and last 5 rows below:
| country               | countryLabel         |
| --------------------- | -------------------- |
| Bulgaria (fb:m.015qh) | Bolgarija (sl)       |
| Bulgaria (fb:m.015qh) | Bugarska (hr)        |
| Bulgaria (fb:m.015qh) | Bulgaaria (et)       |
| Bulgaria (fb:m.015qh) | Bulgaria (en)        |
| Bulgaria (fb:m.015qh) | Bulgaria (es)        |
| ...                   | ...                  |
| Bulgaria (fb:m.015qh) | ประเทศบัลแกเรีย (th) |
| Bulgaria (fb:m.015qh) | 불가리아 (ko)            |
| Bulgaria (fb:m.015qh) | ブルガリア (ja)           |
| Bulgaria (fb:m.015qh) | 保加利亚 (zh)            |
| Bulgaria (fb:m.015qh) | 保加利亞 (zh-Hant)       |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?appointee ?appointeeName ?country ?countryName WHERE {
  ?appointee fb:government.politician.government_positions_held ?position .
  ?position fb:government.government_position_held.appointed_by fb:m.0b393 .
  ?position fb:government.government_position_held.jurisdiction_of_office ?country .
  OPTIONAL {
    ?appointee rdfs:label ?appointeeName FILTER ( lang( ?appointeeName ) = "en" )
  }
  OPTIONAL {
    ?country rdfs:label ?countryName FILTER ( lang( ?countryName ) = "en" )
  }
}
LIMIT 10

Paul von Hindenburg's political appointee Adolf Hitler controlled the country Nazi Germany.

[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 country did Paul von Hindenburg's political appointee control?

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

[Tool]
Example 1:
Question:
Paul von Hindenburg appointed a politician to their government position as part of what political party?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:government.politician.government_positions_held ?k .
  ?k fb:government.government_position_held.appointed_by fb:m.0b393 .
  ?c fb:government.politician.party ?y .
  ?y fb:government.political_party_tenure.party ?x .
}

Using entities:
Paul von Hindenburg, also known as Generalfeldmarschall von Hindenburg, Hindenburg, Paul Ludwig Hans Anton von Beneckendorff und von Hindenburg (fb:m.0b393): Paul Ludwig Hans Anton von Beneckendorff und von Hindenburg, kno...pointed Nazi Party leader Adolf Hitler as Chancellor of Germany., has type Politician

Using properties:
Appointed By (if Position is Appointed) (fb:government.government_position_held.appointed_by): part of Government Position Held schema, links to type Political Appointer
Party (fb:government.political_party_tenure.party): part of Political Party Tenure schema, links to type Political party
Government Positions Held (fb:government.politician.government_positions_held): links to type Government Position Held, part of Politician schema
Party (fb:government.politician.party): links to type Political Party Tenure, part of Politician schema

Example 2:
Question:
Paul von Hindenburg appointed a politician from which political parties?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:government.politician.government_positions_held ?k .
  ?k fb:government.government_position_held.appointed_by fb:m.0b393 .
  ?c fb:government.politician.party ?y .
  ?y fb:government.political_party_tenure.party ?x .
}

Using entities:
Paul von Hindenburg, also known as Generalfeldmarschall von Hindenburg, Hindenburg, Paul Ludwig Hans Anton von Beneckendorff und von Hindenburg (fb:m.0b393): Paul Ludwig Hans Anton von Beneckendorff und von Hindenburg, kno...pointed Nazi Party leader Adolf Hitler as Chancellor of Germany., has type Politician

Using properties:
Appointed By (if Position is Appointed) (fb:government.government_position_held.appointed_by): part of Government Position Held schema, links to type Political Appointer
Party (fb:government.political_party_tenure.party): part of Political Party Tenure schema, links to type Political party
Government Positions Held (fb:government.politician.government_positions_held): links to type Government Position Held, part of Politician schema
Party (fb:government.politician.party): links to type Political Party Tenure, part of Politician schema

Example 3:
Question:
Which party does the politician assigned by Paul von Hindenburg belong to?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:government.politician.government_positions_held ?k .
  ?k fb:government.government_position_held.appointed_by fb:m.0b393 .
  ?c fb:government.politician.party ?y .
  ?y fb:government.political_party_tenure.party ?x .
}

Using entities:
Paul von Hindenburg, also known as Generalfeldmarschall von Hindenburg, Hindenburg, Paul Ludwig Hans Anton von Beneckendorff und von Hindenburg (fb:m.0b393): Paul Ludwig Hans Anton von Beneckendorff und von Hindenburg, kno...pointed Nazi Party leader Adolf Hitler as Chancellor of Germany., has type Politician

Using properties:
Appointed By (if Position is Appointed) (fb:government.government_position_held.appointed_by): part of Government Position Held schema, links to type Political Appointer
Party (fb:government.political_party_tenure.party): part of Political Party Tenure schema, links to type Political party
Government Positions Held (fb:government.politician.government_positions_held): links to type Government Position Held, part of Politician schema
Party (fb:government.politician.party): links to type Political Party Tenure, part of Politician schema

[Assistant]
From the examples, it seems that the property fb:government.government_position_held.appointed_by can be used to find government positions appointed by Paul von Hindenburg. Then, we can find the country controlled by the political appointee by looking at the government position or the politician's country.

Next, I will search for the entity "Paul von Hindenburg" in the freebase knowledge graph to get his identifier.

[Tool]
Top 10 entity alternatives:
1. Paul von Hindenburg, also known as Generalfeldmarschall von Hindenburg, Hindenburg, Paul Ludwig Hans Anton von Beneckendorff und von Hindenburg (fb:m.0b393): Paul Ludwig Hans Anton von Beneckendorff und von Hindenburg, kno...pointed Nazi Party leader Adolf Hitler as Chancellor of Germany., has type Politician
2. Von Hindenburg, also known as Reichspräsident von Hindenburg, President Paul von Hindenburg, Paul von Hindenburgh, Paul von Hindenburg, Hindenburg (fb:m.0v9n35z): Von Hindenburg is a fictional representation of the second President of Germany, Paul von Hindenburg., has type Film character
3. Paul von Hindenburg (fb:m.02blr55)
4. Paul von Hindenburg (fb:m.09p39zp): has type Fictional Character
5. Paul von Hindenburg (fb:m.07r_1bn)
6. Paul von Hindenburg Gw hindenburg 01 (fb:m.0fsw0y8)
7. Liebermann portret van Paul von Hindenburg (fb:m.05mbwf2)
8. hermann goering manipulated paul von hindenburg (fb:m.0c1by3h)
9. paul von hindenburg appointed franz von papen (fb:m.0c1b_8x)
10. paul von hindenburg appointed hermann goering (fb:m.0c1b_95)

[Assistant] The entity for Paul von Hindenburg is fb:m.0b393. Now I will search for government positions appointed by Paul von Hindenburg using the property fb:government.government_position_held.appointed_by. Then I will find the country controlled by the political appointee.

[Tool]
Got 1 row and 4 columns:
| appointee                  | appointeeName     | country                   | countryName       |
| -------------------------- | ----------------- | ------------------------- | ----------------- |
| Adolf Hitler (fb:m.07_m9_) | Adolf Hitler (en) | Nazi Germany (fb:m.059z0) | Nazi Germany (en) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?officePosition ?fromDate ?officePositionLabel WHERE {
  fb:m.0gzh fb:government.politician.government_positions_held ?position .
  ?position fb:government.government_position_held.office_position_or_title ?officePosition .
  ?position fb:government.government_position_held.from ?fromDate .
  OPTIONAL {
    ?officePosition rdfs:label ?officePositionLabel FILTER ( lang( ?officePositionLabel ) = "en" )
  }
}
ORDER BY ?fromDate

Got 3 rows and 3 columns:
| officePosition                                             | fromDate              | officePositionLabel                              |
| ---------------------------------------------------------- | --------------------- | ------------------------------------------------ |
| Member of Illinois House of Representatives (fb:m.052m6c2) | 1834-12-01 (xsd:date) | Member of Illinois House of Representatives (en) |
| United States Representative (fb:m.02_bcst)                | 1847-03-04 (xsd:date) | United States Representative (en)                |
| President of the United States (fb:m.060d2)                | 1861-03-04 (xsd:date) | President of the United States (en)              |

Abraham Lincoln's political experience includes holding the office positions of Member of Illinois House of Representatives starting from December 1, 1834, United States Representative starting from March 4, 1847, and President of the United States starting from March 4, 1861. There is no office position held by Abraham Lincoln starting from March 19, 1790, so that date does not correspond to his political experience.

[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 office position was held from March 19, 1790 and was Abraham Lincoln's political experience?

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

[Tool]
Example 1:
Question:
What important office position did Abraham Lincoln hold from March 19, 1790?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0gzh ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0gzh fb:government.politician.government_positions_held ?y .
  ?y fb:government.government_position_held.office_position_or_title ?x .
  ?x fb:government.government_office_or_title.office_holders ?c .
  ?c fb:government.government_position_held.from "1790-03-19" ^^ xsd:dateTime .
}

Using entities:
Abraham Lincoln, also known as The Sage of Springfield, The Great Emancipator, The Illinois Baboon, The Jester, The Martyr President (fb:m.0gzh): Abraham Lincoln /ˈeɪbrəhæm ˈlɪŋkən/ was the 16th President of th...ew Republican Party, which had a statewide majority in Illinois., has type US President

Using properties:
Office Holders (fb:government.government_office_or_title.office_holders): part of Government Office or Title schema, links to type Government Position Held
From (fb:government.government_position_held.from): part of Government Position Held schema, links to type Date/Time
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

Example 2:
Question:
What office position did Abraham Lincoln hold before he was President from March 19, 1790?

SPARQL:
SELECT DISTINCT ?x WHERE {
  {
    SELECT ?pFrom WHERE {
      fb:m.0gzh fb:government.politician.government_positions_held ?y .
      ?y fb:government.government_position_held.office_position_or_title ?x ; fb:government.government_position_held.basic_title fb:m.060c4 ; fb:government.government_position_held.from ?pFrom .
    }
  }
  fb:m.0gzh fb:government.politician.government_positions_held ?y .
  ?y fb:government.government_position_held.office_position_or_title ?x ; fb:government.government_position_held.from ?from .
  FILTER ( xsd:dateTime ( ?pFrom ) - xsd:dateTime ( ?from ) > 0 ) ?x fb:government.government_office_or_title.office_holders ?c .
  ?c fb:government.government_position_held.from "1790-03-19" ^^ xsd:dateTime .
}

Using entities:
President, also known as Chairman (fb:m.060c4): A president is the leader of a country or a division or part of ...publics, semi-presidential republics or parliamentary republics., has type Fictional job title
Abraham Lincoln, also known as The Sage of Springfield, The Great Emancipator, The Illinois Baboon, The Jester, The Martyr President (fb:m.0gzh): Abraham Lincoln /ˈeɪbrəhæm ˈlɪŋkən/ was the 16th President of th...ew Republican Party, which had a statewide majority in Illinois., has type US President

Using properties:
Office Holders (fb:government.government_office_or_title.office_holders): part of Government Office or Title schema, links to type Government Position Held
Basic title (fb:government.government_position_held.basic_title): links to type Government office category, part of Government Position Held schema
From (fb:government.government_position_held.from): part of Government Position Held schema, links to type Date/Time
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

Example 3:
Question:
What office held from March 19, 1790 did Boehner hold?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.039rwf ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.039rwf fb:government.politician.government_positions_held ?y .
  ?y fb:government.government_position_held.office_position_or_title ?x .
  ?x fb:government.government_office_or_title.office_holders ?c .
  ?c fb:government.government_position_held.from "1790-03-19" ^^ xsd:dateTime .
}

Using entities:
John Boehner, also known as John A. Boehner, John Andrew Boehner (fb:m.039rwf): John Andrew Boehner is the 61st and current Speaker of the Unite...nited States in accordance with the Presidential Succession Act., has type U.S. Congressperson

Using properties:
Office Holders (fb:government.government_office_or_title.office_holders): part of Government Office or Title schema, links to type Government Position Held
From (fb:government.government_position_held.from): part of Government Position Held schema, links to type Date/Time
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 similar examples, it appears that the entity for Abraham Lincoln is fb:m.0gzh and the relevant properties for the office position held and the date from which it was held are:
- fb:government.politician.government_positions_held (to get the positions held by Abraham Lincoln)
- fb:government.government_position_held.office_position_or_title (to get the office position or title)
- fb:government.government_position_held.from (to get the start date of the position)

I will now write a SPARQL query to find the office position held by Abraham Lincoln starting from March 19, 1790.

[Tool] Got no rows and 2 columns

[Assistant] The query returned no results, which suggests that Abraham Lincoln did not hold any office position starting exactly from March 19, 1790. Since the date might be a reference point or related to a different context, I will try to find all office positions held by Abraham Lincoln along with their start dates to see if any position aligns with or is close to that date. This will help us understand if the date is relevant to his political experience.

[Tool]
Got 3 rows and 3 columns:
| officePosition                                             | fromDate              | officePositionLabel                              |
| ---------------------------------------------------------- | --------------------- | ------------------------------------------------ |
| Member of Illinois House of Representatives (fb:m.052m6c2) | 1834-12-01 (xsd:date) | Member of Illinois House of Representatives (en) |
| United States Representative (fb:m.02_bcst)                | 1847-03-04 (xsd:date) | United States Representative (en)                |
| President of the United States (fb:m.060d2)                | 1861-03-04 (xsd:date) | President of the United States (en)              |

[Assistant]
Abraham Lincoln's political experience includes holding the following office positions with their start dates:
- Member of Illinois House of Representatives starting from December 1, 1834
- United States Representative starting from March 4, 1847
- President of the United States starting from March 4, 1861

There is no office position held by Abraham Lincoln starting from March 19, 1790. It is possible that the date March 19, 1790 is not related to Abraham Lincoln's political experience.

I will now provide the answer based on this information.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?country WHERE {
  ?country fb:location.statistical_region.gdp_real ?gdpReal .
  ?gdpReal fb:measurement_unit.adjusted_money_value.adjusted_value 100236410771.0 .
  ?country fb:location.country.languages_spoken fb:m.05zjd .
}

The country with the GDP Real Adjusted Value of 100236410771.0 where people speak Portuguese is South Africa.

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

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

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

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

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

[User] What country with the GDP Real Adjusted Value once of 100236410771.0 do people speak Portuguese?

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

[Tool]
Example 1:
Question:
Where's a place that has a GDP change rate of 0.8, and they speak portuguese?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.05zjd ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.05zjd fb:language.human_language.countries_spoken_in ?x .
  ?x fb:location.statistical_region.gdp_deflator_change ?c .
  ?c fb:measurement_unit.dated_percentage.rate "0.8" .
}

Using entities:
Portuguese Language, also known as Portugese, Português, Portuguese, Portuguese language (fb:m.05zjd): Portuguese is a Romance language and the sole official language ... and is an official language of the European Union and Mercosul., has type Human Language

Using properties:
Spoken in countries (fb:language.human_language.countries_spoken_in): part of Human Language schema, links to type Country
GDP deflator change (fb:location.statistical_region.gdp_deflator_change): part of Statistical region schema, links to type Dated Percentage
Rate (fb:measurement_unit.dated_percentage.rate): links to type Floating Point Number, part of Dated Percentage schema

Example 2:
Question:
What is the currency of the country where Brazilian Portuguese is spoken at?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:location.country.languages_spoken fb:m.02zj58 .
  ?c fb:location.country.currency_used ?x .
}

Using entities:
Brazilian Portuguese (fb:m.02zj58): Brazilian Portuguese is a set of dialects of the Portuguese lang...orm. In Brazil, this reform will be in force as of January 2016., has type Human Language

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

Example 3:
Question:
What is the currency of the country where Brazilian Portuguese is spoken?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:location.country.languages_spoken fb:m.02zj58 .
  ?c fb:location.country.currency_used ?x .
}

Using entities:
Brazilian Portuguese (fb:m.02zj58): Brazilian Portuguese is a set of dialects of the Portuguese lang...orm. In Brazil, this reform will be in force as of January 2016., has type Human Language

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

[Assistant]
From the examples, we see that the property for languages spoken in a country is fb:location.country.languages_spoken and the entity for Portuguese language might be fb:m.05zjd (Portuguese). Also, GDP Real Adjusted Value might be related to some GDP property of the country.

Next, I will search for the Portuguese language entity in the knowledge graph to confirm its identifier.

[Tool]
Top 10 entity alternatives:
1. Portuguese Language, also known as Portugese, Português, Portuguese, Portuguese language (fb:m.05zjd): Portuguese is a Romance language and the sole official language ... and is an official language of the European Union and Mercosul., has type Human Language
2. Portuguese food, also known as Portuguese, Portuguese cuisine (fb:m.03pvdc): Despite being relatively restricted to an Atlantic sustenance, P...rlic is widely used, as are herbs such as coriander and parsley., has type Cuisine
3. Portuguese (fb:m.0l1r8v)
4. Portuguese, also known as Portugual (fb:m.079571g): Portuguese cuisine is born from the earth - hearty peasant fare ...mel, rice pudding & the famous custard tarts or pasteis de nata., has type TV Episode
5. Portuguese (fb:m.0fw5tdx): has type Musical Recording
6. Portuguese (fb:m.0f4lbrp): has type Musical Recording
7. Portuguese, also known as The Portuguese, The Land and its People (fb:m.06mxp6k): has type Book
8. Portuguese (fb:m.011jx2df): Portuguese is a fictional character from the 1970 film The Lion Has Seven Heads., has type Film character
9. Portuguese (fb:m.0mg41vd)
10. Portuguese (fb:m.0mrq_x2)

[Assistant] The Portuguese language entity is fb:m.05zjd. Now I will search for properties related to GDP Real Adjusted Value for countries to find the appropriate property to use in the query.

[Tool]
No property items found

No other items found

[Assistant] There is no direct property named "GDP Real Adjusted Value" for countries in the knowledge graph. I will try searching for properties related to GDP for countries in general to find a suitable property.

[Tool]
Top 10 property alternatives:
1. Instance (fb:type.type.instance): links to type Object, part of Type schema
2. Type (fb:type.object.type): part of Object schema, links to type Type
3. Name (fb:type.object.name): part of Object schema, links to type Text

No other items found

[Assistant] The search for GDP-related properties for countries did not return relevant results. I will try searching for properties related to GDP in general (not limited to countries) to find a suitable property.

[Tool]
Top 10 property alternatives:
1. GDP growth rate (fb:location.statistical_region.gdp_growth_rate): part of Statistical region schema, links to type Dated Percentage
2. GDP real (fb:location.statistical_region.gdp_real): links to type Adjusted money value, part of Statistical region schema
3. GDP (nominal) (fb:location.country.gdp_nominal): links to type Dated Money Value, part of Country schema
4. GDP (nominal) (fb:location.statistical_region.gdp_nominal): part of Statistical region schema, links to type Dated Money Value
5. GDP (nominal per capita) (fb:location.country.gdp_nominal_per_capita): links to type Dated Money Value, part of Country schema
6. GDP (nominal per capita) (fb:location.statistical_region.gdp_nominal_per_capita): part of Statistical region schema, links to type Dated Money Value
7. Economy Rate (fb:cricket.cricket_bowler_stats.economy_rate): links to type Floating Point Number, part of Cricket Bowler Stats schema
8. Gross Savings (% of GDP) (fb:location.statistical_region.gross_savings_as_percent_of_gdp): part of Statistical region schema, links to type Dated Percentage
9. Yearly output (fb:base.powergeneration.photovoltaic_power_station.yearly_output): part of Photovoltaic power station schema, links to type Floating Point Number
10. Household consumption expenditures (% of GDP) (fb:location.statistical_region.household_consumption_expenditure_as_percent_of_gdp): part of Statistical region schema, links to type Dated Percentage

[Assistant]
There is a property fb:location.statistical_region.gdp_real which links to type Adjusted money value and is part of the Statistical region schema. This might be related to the GDP Real Adjusted Value mentioned in the question.

Next, I will check if countries are linked to statistical regions or if the GDP real property can be directly linked to countries. I will search for properties of countries related to statistical regions or GDP.

[Tool]
Top 10 property alternatives:
1. Type (fb:type.object.type): part of Object schema, links to type Type
2. Instance (fb:type.type.instance): links to type Object, part of Type schema

No other items found

[Assistant] There is no direct property linking countries to statistical regions. I will try to find the GDP real property usage in the knowledge graph to see if it is linked to countries or regions. I will list triples with the property fb:location.statistical_region.gdp_real.

[Tool]
Got 16,174 rows and 3 columns, showing the first 10 rows below:
| subject                                | property                                           | object          |
| -------------------------------------- | -------------------------------------------------- | --------------- |
| United States of America (fb:m.09c7w0) | GDP real (fb:location.statistical_region.gdp_real) | fb:g.11b60_8p9h |
| Italy (fb:m.03rjj)                     | GDP real (fb:location.statistical_region.gdp_real) | fb:g.11b60sf4hb |
| United Kingdom (fb:m.07ssc)            | GDP real (fb:location.statistical_region.gdp_real) | fb:g.11b60tlfr0 |
| India (fb:m.03rk0)                     | GDP real (fb:location.statistical_region.gdp_real) | fb:g.11b60sd4xy |
| Germany (fb:m.0345h)                   | GDP real (fb:location.statistical_region.gdp_real) | fb:g.11b60thpz2 |
| Japan (fb:m.03_3d)                     | GDP real (fb:location.statistical_region.gdp_real) | fb:g.11b60zrgdv |
| Poland (fb:m.05qhw)                    | GDP real (fb:location.statistical_region.gdp_real) | fb:g.11b60qsdx5 |
| Indonesia (fb:m.03ryn)                 | GDP real (fb:location.statistical_region.gdp_real) | fb:g.11b60qdnr7 |
| Spain (fb:m.06mkj)                     | GDP real (fb:location.statistical_region.gdp_real) | fb:g.11b60tf08f |
| Canada (fb:m.0d060g)                   | GDP real (fb:location.statistical_region.gdp_real) | fb:g.11b60v3l0z |
| ...                                    | ...                                                | ...             |

[Assistant] The property fb:location.statistical_region.gdp_real is used with countries as subjects, and the object is an entity representing the adjusted money value. Next, I will check the structure of one of these adjusted money value entities to find the actual value. I will list triples for one of these objects, for example fb:g.11b60_8p9h.

[Tool]
Got 6 rows and 3 columns:
| subject         | property                                                                           | object                                                                               |
| --------------- | ---------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------ |
| fb:g.11b60_8p9h | Type (fb:type.object.type)                                                         | Adjusted money value (fb:measurement_unit.adjusted_money_value)                      |
| fb:g.11b60_8p9h | Adjustment currency (fb:measurement_unit.adjusted_money_value.adjustment_currency) | United States Dollar (fb:m.09nqf)                                                    |
| fb:g.11b60_8p9h | Source (fb:measurement_unit.adjusted_money_value.source)                           | GDP expenditure (constant 2000 U...velopment Indicators, World Bank (fb:g.1hhc438vy) |
| fb:g.11b60_8p9h | Adjusted value (fb:measurement_unit.adjusted_money_value.adjusted_value)           | 14450329106500                                                                       |
| fb:g.11b60_8p9h | Adjustment date (fb:measurement_unit.adjusted_money_value.adjustment_date)         | 2013 (xsd:gYear)                                                                     |
| fb:g.11b60_8p9h | rdf:type                                                                           | Adjusted money value (fb:measurement_unit.adjusted_money_value)                      |

[Assistant]
The actual GDP real adjusted value is stored in the property fb:measurement_unit.adjusted_money_value.adjusted_value of the adjusted money value entity.

Now I will construct a query to find the country where the GDP real adjusted value is 100236410771.0 and where Portuguese is spoken. I will use the Portuguese language entity fb:m.05zjd and the GDP real property fb:location.statistical_region.gdp_real with the adjusted value property fb:measurement_unit.adjusted_money_value.adjusted_value.

[Tool] Got no rows and 1 columns

[Assistant]
The query returned no results. It is possible that the exact value 100236410771.0 does not exist in the data or the value might be stored as a different datatype or with slight variation.

I will try a query with a FILTER to match the value approximately to handle possible datatype or precision issues.

[Tool] Got no rows and 1 columns

[Assistant]
There are still no results with an approximate match for the GDP real adjusted value of 100236410771.0.

I will try to find the countries where Portuguese is spoken and list their GDP real adjusted values to see if the value 100236410771.0 or a close value appears among them. This will help verify if the value exists for any Portuguese-speaking country.

[Tool]
Got 10 rows and 2 columns:
| country                   | value          |
| ------------------------- | -------------- |
| China (fb:m.0d05w3)       | 100072317678.0 |
| South Africa (fb:m.0hzlz) | 100236410771.0 |
| South Africa (fb:m.0hzlz) | 100349905926   |
| Macau (fb:m.04thp)        | 10048307655.0  |
| South Africa (fb:m.0hzlz) | 100622149784.0 |
| Andorra (fb:m.0hg5)       | 1009703604     |
| Guyana (fb:m.034m8)       | 1015528839     |
| Brazil (fb:m.015fr)       | 1019917358690  |
| South Africa (fb:m.0hzlz) | 102149590533.0 |
| South Africa (fb:m.0hzlz) | 102167759770.0 |

[Assistant]
The country with the GDP Real Adjusted Value of 100236410771.0 where people speak Portuguese is South Africa (fb:m.0hzlz).

I will now provide the final answer.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?formOfGovernment WHERE {
  ?country fb:law.court_jurisdiction_area.courts fb:m.0cc1cy .
  ?country fb:location.country.form_of_government ?formOfGovernment .
}

Got 3 rows and 1 column:
| formOfGovernment                      |
| ------------------------------------- |
| Presidential system (fb:m.01d9r3)     |
| Constitutional republic (fb:m.0c9rw5) |
| Federal republic (fb:m.0j729)         |

The place that has the Superior Electoral Court (Brazil) has a political system that is a Presidential system, Constitutional republic, and Federal republic.

[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] In the place that has the Superior Electoral Court what type of political system is in place?

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

[Tool]
Example 1:
Question:
In the area that the Superior Electoral Court is, what type of government is in place?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:law.court_jurisdiction_area.courts fb:m.0cc1cy .
  ?c fb:location.country.form_of_government ?x .
}

Using entities:
Superior Electoral Court, also known as Supreme Electoral Court (fb:m.0cc1cy): The Superior Electoral Court is the highest body of the Brazilia... Brazil, according to Article 118 of the Constitution of Brazil., has type Court

Using properties:
Courts (fb:law.court_jurisdiction_area.courts): part of Court jurisdiction area schema, links to type Court
Form of Government (fb:location.country.form_of_government): links to type Form of Government, part of Country schema

Example 2:
Question:
What type of government is used in the place where you'd find Superior Electoral Court?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:law.court_jurisdiction_area.courts fb:m.0cc1cy .
  ?c fb:location.country.form_of_government ?x .
}

Using entities:
Superior Electoral Court, also known as Supreme Electoral Court (fb:m.0cc1cy): The Superior Electoral Court is the highest body of the Brazilia... Brazil, according to Article 118 of the Constitution of Brazil., has type Court

Using properties:
Courts (fb:law.court_jurisdiction_area.courts): part of Court jurisdiction area schema, links to type Court
Form of Government (fb:location.country.form_of_government): links to type Form of Government, part of Country schema

Example 3:
Question:
The country that has a Superior Electoral court has which sort of government?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:law.court_jurisdiction_area.courts fb:m.0cc1cy .
  ?c fb:location.country.form_of_government ?x .
}

Using entities:
Superior Electoral Court, also known as Supreme Electoral Court (fb:m.0cc1cy): The Superior Electoral Court is the highest body of the Brazilia... Brazil, according to Article 118 of the Constitution of Brazil., has type Court

Using properties:
Courts (fb:law.court_jurisdiction_area.courts): part of Court jurisdiction area schema, links to type Court
Form of Government (fb:location.country.form_of_government): links to type Form of Government, part of Country schema

[Assistant]
From the similar examples, it appears that the entity for the Superior Electoral Court is fb:m.0cc1cy, which is the Superior Electoral Court of Brazil. The property to find the type of political system or form of government in the place is fb:location.country.form_of_government.

I will now construct a SPARQL query to find the form of government for the country that has the Superior Electoral Court (fb:m.0cc1cy).

[Tool]
Got 3 rows and 1 column:
| formOfGovernment                      |
| ------------------------------------- |
| Presidential system (fb:m.01d9r3)     |
| Constitutional republic (fb:m.0c9rw5) |
| Federal republic (fb:m.0j729)         |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?participantName WHERE {
  fb:m.0c6qh fb:base.popstra.celebrity.dated ?datedPerson .
  ?datedPerson fb:base.popstra.dated.participant ?participantName .
}

Got 17 rows and 1 column, showing the first 5 and last 5 rows below:
| participantName                   |
| --------------------------------- |
| Geena Davis (fb:m.01fwk3)         |
| Christina Applegate (fb:m.01hcj2) |
| Claire Forlani (fb:m.01x72k)      |
| Thandie Newton (fb:m.02cpb7)      |
| Juliette Lewis (fb:m.02g0mx)      |
| ...                               |
| Katja von Garnier (fb:m.0cjrrk)   |
| Angelina Jolie (fb:m.0f4vbz)      |
| Jill Schoelen (fb:m.0fx7_x)       |
| Felicitas Woll (fb:m.0gsnt6)      |
| Robin Givens (fb:m.0hjxj)         |

The people who dated Brad Pitt, the person who said "heartthrobs are a dime a dozen", include Angelina Jolie, Geena Davis, Juliette Lewis, Gwyneth Paltrow, Thandie Newton, Sonita Henry, and Shalane McCall 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] Who dated the person who said "heartthrobs are a dime a dozen"?

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

[Tool]
Example 1:
Question:
Where is birthplace of the person who said "Heartthrobs are a dime a dozen"?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:people.person.quotations fb:m.0jwjc36 .
  ?c fb:people.person.place_of_birth ?x .
}

Using entities:
Heartthrobs are a dime a dozen (fb:m.0jwjc36): has type Quotation

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

Example 2:
Question:
What celebrities have dated the perosn who wrote the lyrics for "Long Live"?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:music.lyricist.lyrics_written fb:m.0p72hbz .
  ?c fb:celebrities.celebrity.sexual_relationships ?y .
  ?y fb:celebrities.romantic_relationship.celebrity ?x .
}

Using entities:
Long Live (fb:m.0p72hbz): "Long Live" is a song written and recorded by American singer-so...to the top 5 on Billboard Brazil's Brasil Hot 100 Airplay chart., Long Live is a song by Taylor Swift., has type Composition

Using properties:
Romantic relationships (with celebrities) (fb:celebrities.celebrity.sexual_relationships): links to type Romantic relationship, part of Celebrity schema
Celebrity (fb:celebrities.romantic_relationship.celebrity): part of Romantic relationship schema, links to type Celebrity
Lyrics Written (fb:music.lyricist.lyrics_written): links to type Composition, part of Lyricist schema

Example 3:
Question:
Which celebrities have dated the nominee for the Speak Now World Tour?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:award.award_nominee.award_nominations ?k .
  ?k fb:award.award_nomination.nominated_for fb:m.0fp_jt_ .
  ?c fb:celebrities.celebrity.sexual_relationships ?y .
  ?y fb:celebrities.romantic_relationship.celebrity ?x .
}

Using entities:
Speak Now World Tour (fb:m.0fp_jt_): The Speak Now World Tour was the second concert tour by American...oard's annual "Top 25 Tours", earning $97 million with 89 shows., has type Award-Nominated Work

Using properties:
Nominated work (fb:award.award_nomination.nominated_for): links to type Award-Nominated Work, part of Award Nomination schema
Award Nominations (fb:award.award_nominee.award_nominations): links to type Award Nomination, part of Award Nominee schema
Romantic relationships (with celebrities) (fb:celebrities.celebrity.sexual_relationships): links to type Romantic relationship, part of Celebrity schema
Celebrity (fb:celebrities.romantic_relationship.celebrity): part of Romantic relationship schema, links to type Celebrity

[Assistant]
From the examples, it seems that the quote "heartthrobs are a dime a dozen" can be represented as a Quotation entity. The person who said this quote can be linked via the property fb:people.person.quotations. Then, to find who dated that person, we can look for romantic relationships or sexual relationships properties.

Step 1: Search for the entity representing the quote "heartthrobs are a dime a dozen".

[Tool]
Top 10 entity alternatives:
1. Heartthrobs are a dime a dozen (fb:m.0jwjc36): has type Quotation
2. Dreams Are a Dime a Dozen (fb:m.0ft3dmb): has type Musical Recording
3. Dreams Are a Dime a Dozen (fb:m.01b464b): has type Musical Recording
4. Dreams Are a Dime a Dozen (fb:m.0g7dp5n): has type Musical Recording
5. Dreams Are a Dime a Dozen (fb:m.0zcmwj): has type Musical Recording
6. Dreams Are Dime a Dozen (fb:m.0rj3pky): has type Musical Recording
7. Dreams Are Dime a Dozen (fb:m.0rjc2l4)
8. Dreams Are a Dime a Dozen (fb:m.0rtr7gt)
9. Dreams Are a Dime a Dozen (fb:m.0k_cbpm)
10. Dreams Are a Dime a Dozen (fb:m.0lnryy4)

[Assistant] The quote "heartthrobs are a dime a dozen" is represented by the entity fb:m.0jwjc36. Now, I will find the person who said this quote by looking for entities that have this quote in their quotations property.

[Tool]
Got 1 row and 1 column:
| person                 |
| ---------------------- |
| Brad Pitt (fb:m.0c6qh) |

[Assistant] The person who said "heartthrobs are a dime a dozen" is Brad Pitt (fb:m.0c6qh). Now, I will find who dated Brad Pitt by looking for romantic or sexual relationships.

[Tool]
Top 10 property alternatives:
1. Dated (fb:base.popstra.celebrity.dated): part of Celebrity schema, links to type Dated
2. Canoodled (fb:base.popstra.celebrity.canoodled): part of Celebrity schema, links to type Canoodled
3. Bought (fb:base.popstra.celebrity.bought): links to type Product Choice, part of Celebrity schema
4. Key (fb:type.object.key): part of Object schema, links to type Key
5. Wears (fb:base.popstra.celebrity.wears): links to type Fashion Choice, part of Celebrity schema
6. Lived With (fb:base.popstra.celebrity.lived_with): links to type Lived With, part of Celebrity schema
7. Type (fb:type.object.type): part of Object schema, links to type Type
8. Breakup (fb:base.popstra.celebrity.breakup): part of Celebrity schema, links to type Breakup
9. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
10. Gender (fb:people.person.gender): part of Person schema, links to type Gender

No other items found

[Assistant] The property "Dated" (fb:base.popstra.celebrity.dated) seems to represent the people Brad Pitt dated. I will now query who Brad Pitt dated using this property.

[Tool]
Got 18 rows and 1 column, showing the first 5 and last 5 rows below:
| datedPerson  |
| ------------ |
| fb:m.063g4f2 |
| fb:m.064bhq6 |
| fb:m.064bhr2 |
| fb:m.064f25x |
| fb:m.065p_2z |
| ...          |
| fb:m.065q497 |
| fb:m.065q4gf |
| fb:m.065q4pj |
| fb:m.065q7lp |
| fb:m.065q9tc |

[Assistant] Brad Pitt dated multiple people. To provide a more informative answer, I will retrieve the labels (names) of the people he dated.

[Tool] Got no rows and 2 columns

[Assistant] It seems the property fb:base.popstra.celebrity.dated does not have rdfs:label for the dated persons. I will try to get the names using the property fb:type.object.name instead.

[Tool] Got no rows and 2 columns

[Assistant] The dated persons do not seem to have names linked with the properties rdfs:label or fb:type.object.name. I will try to get the types of these dated persons to confirm they are people.

[Tool]
Got 10 rows and 2 columns:
| datedPerson  | type                                |
| ------------ | ----------------------------------- |
| fb:m.063g4f2 | Dated (fb:base.popstra.dated)       |
| fb:m.063g4f2 | sww_base (fb:base.popstra.sww_base) |
| fb:m.063g4f2 | Topic (fb:base.popstra.topic)       |
| fb:m.063g4f2 | Topic (fb:common.topic)             |
| fb:m.064bhq6 | Dated (fb:base.popstra.dated)       |
| fb:m.064bhq6 | sww_base (fb:base.popstra.sww_base) |
| fb:m.064bhq6 | Topic (fb:base.popstra.topic)       |
| fb:m.064bhq6 | Topic (fb:common.topic)             |
| fb:m.064bhr2 | Dated (fb:base.popstra.dated)       |
| fb:m.064bhr2 | sww_base (fb:base.popstra.sww_base) |

[Assistant] The dated persons are of type Topic, which is a general type. I will try to get the names of these dated persons by querying the property fb:type.object.name without language filter.

[Tool] Got no rows and 2 columns

[Assistant] It seems the dated persons do not have names linked with the property fb:type.object.name either. I will try to get the rdfs:label of Brad Pitt to confirm the label property.

[Tool]
Got 10 rows and 1 column:
| label           |
| --------------- |
| Brad Pitt (ca)  |
| Brad Pitt (cs)  |
| Brad Pitt (da)  |
| Brad Pitt (de)  |
| Brad Pitt (en)  |
| Brad Pitt (es)  |
| Brad Pitt (et)  |
| Brad Pitt (fi)  |
| Brad Pitt (fil) |
| Brad Pitt (fr)  |

[Assistant] The rdfs:label property is used for names with language tags. I will try to get the English label of one of the dated persons by using the rdfs:label property.

[Tool] Got no rows and 2 columns

[Assistant] The dated persons do not have English labels with the rdfs:label property either. I will try to get the names of the dated persons by querying the property fb:common.topic.alias which sometimes stores alternative names.

[Tool] Got no rows and 2 columns

[Assistant] The dated persons do not have aliases either. I will try to get the properties of one of the dated persons to find a suitable property for their names. I will use the first dated person fb:m.063g4f2 for this.

[Tool]
Got 11 rows and 3 columns, showing the first 10 rows below:
| subject      | property                                        | object                                 |
| ------------ | ----------------------------------------------- | -------------------------------------- |
| fb:m.063g4f2 | Type (fb:type.object.type)                      | Topic (fb:common.topic)                |
| fb:m.063g4f2 | Source (fb:base.popstra.sww_base.source)        | <http://www.msnbc.msn.com/id/8116437/> |
| fb:m.063g4f2 | Participant (fb:base.popstra.dated.participant) | Brad Pitt (fb:m.0c6qh)                 |
| fb:m.063g4f2 | rdf:type                                        | Topic (fb:common.topic)                |
| fb:m.063g4f2 | Type (fb:type.object.type)                      | sww_base (fb:base.popstra.sww_base)    |
| fb:m.063g4f2 | Type (fb:type.object.type)                      | Topic (fb:base.popstra.topic)          |
| fb:m.063g4f2 | Type (fb:type.object.type)                      | Dated (fb:base.popstra.dated)          |
| fb:m.063g4f2 | Participant (fb:base.popstra.dated.participant) | Angelina Jolie (fb:m.0f4vbz)           |
| fb:m.063g4f2 | rdf:type                                        | sww_base (fb:base.popstra.sww_base)    |
| fb:m.063g4f2 | rdf:type                                        | Topic (fb:base.popstra.topic)          |
| ...          | ...                                             | ...                                    |

[Assistant] The dated person fb:m.063g4f2 has a property fb:base.popstra.dated.participant with the object Angelina Jolie (fb:m.0f4vbz), which seems to be the name of the person. I will now query the names of the dated persons using this property.

[Tool]
Got 10 rows and 2 columns:
| datedPerson  | participantName              |
| ------------ | ---------------------------- |
| fb:m.063g4f2 | Brad Pitt (fb:m.0c6qh)       |
| fb:m.063g4f2 | Angelina Jolie (fb:m.0f4vbz) |
| fb:m.064bhq6 | Geena Davis (fb:m.01fwk3)    |
| fb:m.064bhq6 | Juliette Lewis (fb:m.02g0mx) |
| fb:m.064bhq6 | Gwyneth Paltrow (fb:m.0bq2g) |
| fb:m.064bhq6 | Brad Pitt (fb:m.0c6qh)       |
| fb:m.064bhr2 | Thandie Newton (fb:m.02cpb7) |
| fb:m.064bhr2 | Sonita Henry (fb:m.064bhrg)  |
| fb:m.064bhr2 | Shalane McCall (fb:m.0bblqk) |
| fb:m.064bhr2 | Brad Pitt (fb:m.0c6qh)       |

[Assistant]
The people who dated Brad Pitt include Angelina Jolie, Geena Davis, Juliette Lewis, Gwyneth Paltrow, Thandie Newton, Sonita Henry, and Shalane McCall among others.

I will now finalize the answer with the list of people who dated Brad Pitt, the person who said "heartthrobs are a dime a dozen".

[Tool] Stopped generation process


PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?movie WHERE {
  fb:m.07ldhs fb:film.actor.film ?performance .
  ?performance fb:film.performance.film ?movie .
  ?movie fb:type.object.type fb:film.film .
  ?movie fb:film.film.runtime ?filmCut .
  ?filmCut fb:film.film_cut.runtime ?runtime .
  FILTER ( xsd:float ( ?runtime ) > 22 )
}

Got 12 rows and 1 column, showing the first 5 and last 5 rows below:
| movie                                                    |
| -------------------------------------------------------- |
| Twilight (fb:m.03nm_fh)                                  |
| The Twilight Saga: New Moon (fb:m.05pdh86)               |
| Cheaper by the Dozen 2 (fb:m.066b_n)                     |
| The Adventures of Sharkboy and Lavagirl (fb:m.06crgb)    |
| Valentine's Day (fb:m.06_wqk4)                           |
| ...                                                      |
| The Twilight Saga: Breaking Dawn - Part 1 (fb:m.075wx89) |
| The Nick and Jessica Variety Hour (fb:m.07cdy_t)         |
| Abduction (fb:m.0cmdl80)                                 |
| The Twilight Saga: Breaking Dawn - Part 2 (fb:m.0djz0rc) |
| Grown Ups 2 (fb:m.0mzt5cs)                               |

Movies featuring Taylor Lautner with a runtime larger than 22 minutes include Twilight, The Twilight Saga: New Moon, Cheaper by the Dozen 2, The Adventures of Sharkboy and Lavagirl, and Valentine's Day.

[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 movie featured Taylor Lautner and has an episode run time larger than 22?

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

[Tool]
Example 1:
Question:
What show has a running time of more than 22 minutes and starred Taylor Lautner?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07ldhs ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07ldhs fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:tv.tv_program.episode_running_time ?num .
  FILTER ( xsd:integer ( ?num ) > 22 ) .
}

Using entities:
Taylor Lautner, also known as Taylor Daniel Lautner (fb:m.07ldhs): Taylor Daniel Lautner is an American actor, model and martial ar..., Lautner was named the highest-paid teenage actor in Hollywood., has type Martial Artist

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film
Original episode running time (fb:tv.tv_program.episode_running_time): part of TV Program schema, links to type Integer

Example 2:
Question:
What movies and TV program episode running time is 22 stared Taylor Lautner?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07ldhs ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07ldhs fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:tv.tv_program.episode_running_time "22" .
}

Using entities:
Taylor Lautner, also known as Taylor Daniel Lautner (fb:m.07ldhs): Taylor Daniel Lautner is an American actor, model and martial ar..., Lautner was named the highest-paid teenage actor in Hollywood., has type Martial Artist

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film
Original episode running time (fb:tv.tv_program.episode_running_time): part of TV Program schema, links to type Integer

Example 3:
Question:
What TV show with a run time over 22 minutes has Taylor Lautner been in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07ldhs ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07ldhs fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:tv.tv_program.episode_running_time ?num .
  FILTER ( xsd:integer ( ?num ) > 22 ) .
}

Using entities:
Taylor Lautner, also known as Taylor Daniel Lautner (fb:m.07ldhs): Taylor Daniel Lautner is an American actor, model and martial ar..., Lautner was named the highest-paid teenage actor in Hollywood., has type Martial Artist

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film
Original episode running time (fb:tv.tv_program.episode_running_time): part of TV Program schema, links to type Integer

[Assistant]
From the examples, it seems Taylor Lautner is identified as fb:m.07ldhs in Freebase. The property linking Taylor Lautner to films is fb:film.actor.film, and the property for episode running time is fb:tv.tv_program.episode_running_time.

I will now construct a SPARQL query to find movies featuring Taylor Lautner with an episode running time greater than 22. I will check if the running time property is available for movies or TV programs.

[Tool]
Got 1 row and 2 columns:
| movie                                            | runningTime |
| ------------------------------------------------ | ----------- |
| The Nick and Jessica Variety Hour (fb:m.07cdy_t) | 60          |

[Assistant]
The query returned one result: "The Nick and Jessica Variety Hour" with a running time of 60. However, this is a TV program, not a movie. The user specifically asked for a movie.

I will check if there is a property for movie running time instead of episode running time and also verify the type of the returned entity to distinguish movies from TV programs.

[Tool]
Top 10 property alternatives:
1. Type (fb:type.object.type): part of Object schema, links to type Type
2. Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
3. Genres (fb:film.film.genre): links to type Film genre, part of Film schema
4. Key (fb:type.object.key): part of Object schema, links to type Key
5. Country of origin (fb:tv.tv_program.country_of_origin): part of TV Program schema, links to type Country
6. Name (fb:type.object.name): part of Object schema, links to type Text
7. Title ID (fb:imdb.topic.title_id): links to type Enumeration, part of Topic schema
8. Notable for (fb:common.topic.notable_for): links to type notable_for, part of Topic schema
9. Personal appearances (fb:film.film.personal_appearances): links to type Personal film appearance, part of Film schema
10. Runtime (fb:film.film.runtime): links to type Film cut, part of Film schema

No other items found

[Assistant]
The entity "The Nick and Jessica Variety Hour" has a type property (fb:type.object.type) and a runtime property for films (fb:film.film.runtime). The episode running time property (fb:tv.tv_program.episode_running_time) is for TV programs.

I will now modify the query to check for movies (type fb:film.film) featuring Taylor Lautner with a runtime greater than 22. I will use the property fb:film.film.runtime for the runtime.

[Tool] Got no rows and 2 columns

[Assistant] No movies with a runtime property greater than 22 were found for Taylor Lautner. I will now check if the runtime property values might be stored as literals or in a different format by querying the runtime values for movies featuring Taylor Lautner without filtering by runtime.

[Tool]
Got 10 rows and 2 columns:
| movie                                                 | runtime      |
| ----------------------------------------------------- | ------------ |
| Run the Tide (fb:m.011q0_7k)                          |              |
| The Ridiculous Six (fb:m.012z_7zt)                    |              |
| He's a Bully, Charlie Brown (fb:m.02686wj)            |              |
| Twilight (fb:m.03nm_fh)                               | fb:m.05mndrs |
| Twilight (fb:m.03nm_fh)                               | fb:m.0cf_7fl |
| The Twilight Saga: New Moon (fb:m.05pdh86)            | fb:m.0cgnk7d |
| Cheaper by the Dozen 2 (fb:m.066b_n)                  | fb:m.0cg0tdf |
| The Adventures of Sharkboy and Lavagirl (fb:m.06crgb) | fb:m.0cgnd_z |
| The Adventures of Sharkboy and Lavagirl (fb:m.06crgb) | fb:m.0glb49t |
| The Adventures of Sharkboy and Lavagirl (fb:m.06crgb) | fb:m.0k4913  |

[Assistant] The runtime values for movies are not literals but seem to be linked to other entities (e.g., fb:m.05mndrs). I will now check what kind of entities these runtime values are by querying the properties of one of these runtime entities. I will use fb:m.05mndrs as an example.

[Tool]
Got 4 rows and 3 columns:
| subject      | property                           | object                      |
| ------------ | ---------------------------------- | --------------------------- |
| fb:m.05mndrs | Type (fb:type.object.type)         | Film cut (fb:film.film_cut) |
| fb:m.05mndrs | Film (fb:film.film_cut.film)       | Twilight (fb:m.03nm_fh)     |
| fb:m.05mndrs | Runtime (fb:film.film_cut.runtime) | 121.0                       |
| fb:m.05mndrs | rdf:type                           | Film cut (fb:film.film_cut) |

[Assistant]
The runtime entity fb:m.05mndrs is of type Film cut and has a property fb:film.film_cut.runtime with the literal runtime value 121.0.

I will now modify the query to get the runtime value from the film cut entity using the property fb:film.film_cut.runtime and filter for runtimes greater than 22.

[Tool]
Got 10 rows and 2 columns:
| movie                                                 | runtime |
| ----------------------------------------------------- | ------- |
| Twilight (fb:m.03nm_fh)                               | 121.0   |
| Twilight (fb:m.03nm_fh)                               | 122.0   |
| The Twilight Saga: New Moon (fb:m.05pdh86)            | 130.0   |
| Cheaper by the Dozen 2 (fb:m.066b_n)                  | 94.0    |
| The Adventures of Sharkboy and Lavagirl (fb:m.06crgb) | 93.0    |
| The Adventures of Sharkboy and Lavagirl (fb:m.06crgb) | 94.0    |
| The Adventures of Sharkboy and Lavagirl (fb:m.06crgb) | 95.0    |
| Valentine's Day (fb:m.06_wqk4)                        | 123.0   |
| Valentine's Day (fb:m.06_wqk4)                        | 124.0   |
| Valentine's Day (fb:m.06_wqk4)                        | 125.0   |

[Tool] Stopped generation process