PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?language ?languageLabel WHERE {
  fb:m.027rn ( fb:location.country.languages_spoken | fb:location.country.official_language ) ?language .
  OPTIONAL {
    ?language rdfs:label ?languageLabel .
    FILTER ( LANG( ?languageLabel ) = "en" )
  }
}

Got 4 rows and 2 columns:
| language                      | languageLabel         |
| ----------------------------- | --------------------- |
| Haitian Creole (fb:m.02dhwl)  | Haitian Creole (en)   |
| Samaná English (fb:m.06jsg0)  | Samaná English (en)   |
| Spanish Language (fb:m.06nm1) | Spanish Language (en) |
| Spanish Language (fb:m.06nm1) | Spanish Language (en) |

The language spoken in the Dominican Republic with the initials 'hat' is Haitian Creole.

[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 Dominican Republic with initials hat?

[Assistant] The user is asking about the language spoken in the Dominican Republic that has the initials "hat." I will first search for the entity "Dominican Republic" in the Freebase knowledge graph to get its identifier. Then, I will look for the languages spoken in the Dominican Republic and check if any of them have the initials "hat."

[Tool]
Top 10 entity alternatives:
1. Dominican Republic, also known as República Dominicana (fb:m.027rn): The Dominican Republic is a country on the island of Hispaniola,...y removed by the Haitian government and Dominican slave revolts., has type Country
2. Dominican Republic (fb:m.086c_78): has type Book Edition
3. Dominican Republic (fb:m.0ybwyw7): has type Musical Recording
4. Dominican Republic (fb:m.05dln_l): Grylls has some tips on how to survive the hurricane season and he also eats a tarantula to survive, has type TV Episode
5. Dominican Republic (fb:m.07mqzhw): A woman wants to find a house on the beach in the Dominican Republic., has type TV Episode
6. Dominican Republic, also known as TBD (fb:m.0n4tbww): Nearing toward the end of his final tour, Anthony Bourdain trave...the Caribbean for fresh fish and more in the Dominican Republic., has type TV Episode
7. Dominican Republic (fb:m.0116kn3q): Andi travels to the Dominican Republic where she spends intimate time with each of the three remaining bachelors., has type TV Episode
8. Dominican Republic (fb:m.0qdxlv): has type Musical Recording
9. Dominican Republic (fb:m.07lbffk): has type TV Episode
10. Dominican Republic (fb:m.011nglc8): The Dominican Republic offers perhaps the most exotic adventure experience in the Caribbean., has type TV Episode

[Assistant] The entity for the country Dominican Republic is fb:m.027rn. Next, I will search for the languages spoken in the Dominican Republic using this entity. I will look for properties related to languages spoken or official languages of this country.

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

No other items found

[Assistant] The properties related to languages for the Dominican Republic are "Languages spoken" (fb:location.country.languages_spoken) and "Official Language" (fb:location.country.official_language). I will query the languages spoken in the Dominican Republic using these properties to see if any language has the initials "hat."

[Tool]
Got 4 rows and 2 columns:
| language                      | languageLabel         |
| ----------------------------- | --------------------- |
| Haitian Creole (fb:m.02dhwl)  | Haitian Creole (en)   |
| Samaná English (fb:m.06jsg0)  | Samaná English (en)   |
| Spanish Language (fb:m.06nm1) | Spanish Language (en) |
| Spanish Language (fb:m.06nm1) | Spanish Language (en) |

[Assistant] The languages spoken in the Dominican Republic include Haitian Creole, Samaná English, and Spanish Language. Among these, Haitian Creole matches the initials "hat" that the user mentioned. I will now provide the answer that the language spoken in the Dominican Republic with initials "hat" is Haitian Creole.

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?language ?languageLabel WHERE {
  ?language fb:language.human_language.countries_spoken_in fb:m.02k54 .
  OPTIONAL {
    ?language rdfs:label ?languageLabel
  }
}

Got 145 rows and 2 columns, showing the first 5 and last 5 rows below:
| language                    | languageLabel    |
| --------------------------- | ---------------- |
| Siwi Language (fb:m.012zfy) | Idioma siwi (es) |
| Siwi Language (fb:m.012zfy) | Język siwi (pl)  |
| Siwi Language (fb:m.012zfy) | Lingua siwi (it) |
| Siwi Language (fb:m.012zfy) | Língua siwi (pt) |
| Siwi Language (fb:m.012zfy) | Siwi (de)        |
| ...                         | ...              |
| Arabic Language (fb:m.0jzc) | ภาษาอาหรับ (th)  |
| Arabic Language (fb:m.0jzc) | 아랍어 (ko)         |
| Arabic Language (fb:m.0jzc) | アラビア語 (ja)       |
| Arabic Language (fb:m.0jzc) | 阿拉伯語 (zh-Hant)   |
| Arabic Language (fb:m.0jzc) | 阿拉伯语 (zh)        |

The language spoken in the place (Egypt) that also speaks Domari includes Arabic and other languages. The main language spoken in Egypt is Arabic.

[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]
The question asks for the language spoken in the place where Domari is also spoken. To answer this, I need to:

1. Identify the language entity for "Domari."
2. Find the place(s) where Domari is spoken.
3. Find other languages spoken in the same place(s).

I will start by searching for the entity "Domari" in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. 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
2. Domari (fb:m.05tpyll)
3. Domari (fb:m.05tpy19)
4. Domari (fb:m.05tpw53)
5. Domari (fb:m.05tpjhh)
6. Domari (fb:m.05tpggy)
7. Domari (fb:m.05tp87t)
8. Domari (fb:m.05tp4cs)
9. Domari (fb:m.05tnw2r)
10. Domari (fb:m.05tntk8)

[Assistant] The top entity for "Domari" is "Domari Language" with the identifier fb:m.0c4chg. I will use this entity to find the place(s) where Domari is spoken. I will search for properties of this entity that might indicate the place or region where it is spoken.

[Tool]
Top 10 property alternatives:
1. Spoken in countries (fb:language.human_language.countries_spoken_in): part of Human Language schema, links to type Country
2. Pronunciation (fb:base.schemastaging.context_name.pronunciation): links to type Pronunciation, part of Context name schema
3. Languoid Class (fb:base.rosetta.languoid.languoid_class): links to type Languoid Class, part of Languoid schema
4. Language Family (fb:language.human_language.language_family): part of Human Language schema, links to type Language Family
5. Type (fb:type.object.type): part of Object schema, links to type Type
6. Key (fb:type.object.key): part of Object schema, links to type Key
7. Parent (fb:base.rosetta.languoid.parent): part of Languoid schema, links to type Languoid
8. Description (fb:common.topic.description): part of Topic schema, links to type Text
9. Article (fb:common.topic.article): links to type Document, part of Topic schema
10. Also known as (fb:common.topic.alias): part of Topic schema, links to type Text

No other items found

[Assistant] The property "Spoken in countries" (fb:language.human_language.countries_spoken_in) is likely the one that indicates the place(s) where Domari is spoken. I will now query the places (countries) where Domari is spoken using this property.

[Tool]
Got 44 rows and 2 columns, showing the first 5 and last 5 rows below:
| country            | countryLabel       |
| ------------------ | ------------------ |
| Egypt (fb:m.02k54) | Ägypten (de)       |
| Egypt (fb:m.02k54) | Ai Cập (vi)        |
| Egypt (fb:m.02k54) | Egipat (hr)        |
| Egypt (fb:m.02k54) | Egipt (pl)         |
| Egypt (fb:m.02k54) | Egipt (ro)         |
| ...                | ...                |
| Egypt (fb:m.02k54) | ประเทศอียิปต์ (th) |
| Egypt (fb:m.02k54) | 이집트 (ko)           |
| Egypt (fb:m.02k54) | エジプト (ja)          |
| Egypt (fb:m.02k54) | 埃及 (zh)            |
| Egypt (fb:m.02k54) | 埃及 (zh-Hant)       |

[Assistant] Domari is spoken in the country Egypt (fb:m.02k54) among others. Now I will find what other languages are spoken in Egypt. I will search for languages spoken in Egypt using the property "Spoken in countries" but this time for languages spoken in Egypt.

[Tool]
Got 145 rows and 2 columns, showing the first 5 and last 5 rows below:
| language                    | languageLabel    |
| --------------------------- | ---------------- |
| Siwi Language (fb:m.012zfy) | Idioma siwi (es) |
| Siwi Language (fb:m.012zfy) | Język siwi (pl)  |
| Siwi Language (fb:m.012zfy) | Lingua siwi (it) |
| Siwi Language (fb:m.012zfy) | Língua siwi (pt) |
| Siwi Language (fb:m.012zfy) | Siwi (de)        |
| ...                         | ...              |
| Arabic Language (fb:m.0jzc) | ภาษาอาหรับ (th)  |
| Arabic Language (fb:m.0jzc) | 아랍어 (ko)         |
| Arabic Language (fb:m.0jzc) | アラビア語 (ja)       |
| Arabic Language (fb:m.0jzc) | 阿拉伯語 (zh-Hant)   |
| Arabic Language (fb:m.0jzc) | 阿拉伯语 (zh)        |

[Assistant] In Egypt, many languages are spoken including Arabic (fb:m.0jzc) and Siwi (fb:m.012zfy). The question asks for the language spoken in the place that also speaks Domari, so the answer would be the languages spoken in Egypt. I will provide the main language spoken in Egypt, which is Arabic. I will now finalize the answer.

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?country ?countryLabel WHERE {
  ?country a fb:location.country .
  ?country fb:location.country.iso_numeric 100 .
  OPTIONAL {
    ?country rdfs:label ?countryLabel
  }
}
LIMIT 10

There is no country with the ISO numeric code 100 in the knowledge graph, so I cannot find a country with ISO number 100 located in Eastern Europe.

[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]
To answer this question, I need to find a country with the ISO number 100 and check if it is located in Eastern Europe.

Step 1: Search for the property related to "ISO number" or "ISO code" for countries.
Step 2: Search for the entity or region "Eastern Europe."
Step 3: Query for countries with ISO number 100 and check if they are located in Eastern Europe.

I will start by searching for the property related to "ISO number" or "ISO code" for countries.

[Tool]
Top 10 property alternatives:
1. ISO country (fb:base.aareas.schema.administrative_area.iso_country): part of Administrative Area schema, links to type ISO Country
2. ISO country (fb:base.aareas.schema.administrative_area_type.iso_country): part of Type of Administrative Area schema, links to type ISO Country
3. ISO settings (fb:digicams.digital_camera.iso_setting): links to type Camera ISO Capability, part of Digital Camera schema
4. ISO Numeric (fb:location.country.iso_numeric): links to type Enumeration, part of Country schema
5. ISO Alpha 2 (fb:location.country.iso3166_1_alpha2): links to type Enumeration, part of Country schema
6. ISO Alpha 3 (fb:location.country.iso_alpha_3): links to type Enumeration, part of Country schema
7. Standard (fb:user.jg.default_domain.standards_organization.standard): part of Standards Organization schema, links to type Standard
8. Specification (fb:base.sparql.sparql_results_format.specification): part of SPARQL Results Format schema, links to type Specification
9. Version (fb:common.license.version): part of License schema, links to type Text
10. Version (fb:biology.genome_build.version): links to type Machine readable string, part of Genome Build schema

[Assistant]
I found relevant properties related to ISO for countries:
- fb:location.country.iso_numeric (ISO Numeric code for countries)

Next, I will search for the entity or region "Eastern Europe" to identify its identifier 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]
The entity for the region "Eastern Europe" is fb:m.09b69.

Now, I will write a SPARQL query to find countries with the ISO numeric code 100 and check if they are located in Eastern Europe (fb:m.09b69). I will check if the country has a location or region property linking it to Eastern Europe.

[Tool] Got no rows and 2 columns

[Assistant]
The query did not return any results, which means there might not be a direct property linking the country to "Eastern Europe" in that way. I will try a different approach by checking if the country is located in a broader region or continent and then filter for Eastern Europe.

I will first check the properties of countries related to location or region to find a suitable property to link the country to Eastern Europe.

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

No other items found

[Assistant]
The search for properties related to "country" for the entity Eastern Europe did not return a direct property linking countries to Eastern Europe.

I will try a different approach: I will search for countries with ISO numeric code 100 and then check their broader location or continent to see if it matches Eastern Europe.

I will first find the country with ISO numeric code 100.

[Tool] Got no rows and 2 columns

[Assistant]
There are no countries with the ISO numeric code 100 in the knowledge graph. This might mean that the ISO numeric code 100 is not present or represented differently in this knowledge graph.

Given this, I cannot find a country with ISO number 100 located in Eastern Europe in the current knowledge graph.

I will now finalize my response.

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?country ?countryLabel WHERE {
  fb:m.0b393 fb:government.political_appointer.appointees ?appointee .
  ?appointee fb:government.government_position_held.office_holder ?appointeePerson .
  ?appointee fb:government.government_position_held.jurisdiction_of_office ?country .
  OPTIONAL {
    ?country rdfs:label ?countryLabel
  }
}

Got 44 rows and 2 columns, showing the first 5 and last 5 rows below:
| country                   | countryLabel           |
| ------------------------- | ---------------------- |
| Nazi Germany (fb:m.059z0) | Alemanha Nazi (pt-PT)  |
| Nazi Germany (fb:m.059z0) | Alemanha Nazista (pt)  |
| Nazi Germany (fb:m.059z0) | Alemania nazi (es)     |
| Nazi Germany (fb:m.059z0) | Alemania nazi (es-419) |
| Nazi Germany (fb:m.059z0) | Alemanyang Nazi (fil)  |
| ...                       | ...                    |
| Nazi Germany (fb:m.059z0) | นาซีเยอรมนี (th)       |
| Nazi Germany (fb:m.059z0) | 나치 독일 (ko)             |
| Nazi Germany (fb:m.059z0) | ナチス・ドイツ (ja)           |
| Nazi Germany (fb:m.059z0) | 納粹德國 (zh-Hant)         |
| Nazi Germany (fb:m.059z0) | 纳粹德国 (zh)              |

Paul von Hindenburg's political appointee 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]
To answer the question "Which country did Paul von Hindenburg's political appointee control?", I need to follow these steps:

1. Identify the entity "Paul von Hindenburg" in the knowledge graph.
2. Identify the political appointee(s) of Paul von Hindenburg.
3. Determine the country or countries controlled by these political appointees.

First, I will search for the entity "Paul von Hindenburg" in the Freebase knowledge graph.

[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]
I found multiple entities related to "Paul von Hindenburg" in the knowledge graph. The most relevant one is fb:m.0b393, which is Paul Ludwig Hans Anton von Beneckendorff und von Hindenburg, a politician who appointed Nazi Party leader Adolf Hitler as Chancellor of Germany.

Next, I will search for political appointees of Paul von Hindenburg. I will try to find properties related to political appointments or people appointed by him. I will search for properties of the entity fb:m.0b393 related to appointments or political roles.

[Tool]
Top 10 property alternatives:
1. Appointees (fb:government.political_appointer.appointees): links to type Government Position Held, part of Political Appointer schema
2. Belongs to Order (fb:royalty.chivalric_order_member.belongs_to_order): links to type Chivalric Order Membership, part of Chivalric Order Member schema
3. Name (fb:type.object.name): part of Object schema, links to type Text
4. Profession (fb:people.person.profession): links to type Profession, part of Person schema
5. Key (fb:type.object.key): part of Object schema, links to type Key
6. Parents (fb:people.person.parents): part of Person schema, links to type Person
7. Government Positions Held (fb:government.politician.government_positions_held): links to type Government Position Held, part of Politician schema
8. Name ID (fb:imdb.topic.name_id): links to type Enumeration, part of Topic schema
9. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
10. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema

No other items found

[Assistant] The property "Appointees" (fb:government.political_appointer.appointees) is related to political appointees of Paul von Hindenburg. I will now query the appointees of Paul von Hindenburg using this property.

[Tool]
Got 1 row and 3 columns:
| subject                          | property                                                  | object       |
| -------------------------------- | --------------------------------------------------------- | ------------ |
| Paul von Hindenburg (fb:m.0b393) | Appointees (fb:government.political_appointer.appointees) | fb:m.08_ksdj |

[Assistant] Paul von Hindenburg has an appointee with the entity ID fb:m.08_ksdj. I will now find out who this appointee is by retrieving the name or label of this entity.

[Tool] Got no rows and 3 columns

[Assistant] There is no direct name property for the appointee entity fb:m.08_ksdj. I will try to get the type or other properties of this entity to better understand who this appointee is.

[Tool]
Got 9 rows and 3 columns:
| subject      | property                                                                                | object                                                            |
| ------------ | --------------------------------------------------------------------------------------------- | ----------------------------------------------------------------- |
| fb:m.08_ksdj | Type (fb:type.object.type)                                                                    | Government Position Held (fb:government.government_position_held) |
| fb:m.08_ksdj | Officeholder (fb:government.government_position_held.office_holder)                           | Adolf Hitler (fb:m.07_m9_)                                        |
| fb:m.08_ksdj | From (fb:government.government_position_held.from)                                            | 1933-01-30 (xsd:date)                                             |
| fb:m.08_ksdj | Office, position, or title (fb:government.government_position_held.office_position_or_title)  | Chancellor of Germany (fb:m.0gg0l)                                |
| fb:m.08_ksdj | Basic title (fb:government.government_position_held.basic_title)                              | Chancellor (fb:m.01fch0)                                          |
| fb:m.08_ksdj | Jurisdiction of office (fb:government.government_position_held.jurisdiction_of_office)        | Nazi Germany (fb:m.059z0)                                         |
| fb:m.08_ksdj | To (fb:government.government_position_held.to)                                                | 1945-04-30 (xsd:date)                                             |
| fb:m.08_ksdj | Appointed By (if Position is Appointed) (fb:government.government_position_held.appointed_by) | Paul von Hindenburg (fb:m.0b393)                                  |
| fb:m.08_ksdj | rdf:type                                                                                | Government Position Held (fb:government.government_position_held) |

[Assistant]
The political appointee of Paul von Hindenburg with entity ID fb:m.08_ksdj is Adolf Hitler (fb:m.07_m9_). He held the position of Chancellor of Germany (fb:m.0gg0l) from 1933-01-30 to 1945-04-30. The jurisdiction of this office was Nazi Germany (fb:m.059z0).

Therefore, the country that Paul von Hindenburg's political appointee controlled is Nazi Germany.

I will now formulate the final SPARQL query and answer.

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?positionLabel ?startDate ?endDate WHERE {
  fb:m.0gzh fb:government.politician.government_positions_held ?position .
  OPTIONAL {
    ?position rdfs:label ?positionLabel .
    FILTER ( LANG( ?positionLabel ) = "en" )
  }
  OPTIONAL {
    ?position fb:government.government_position_held.start_date ?startDate
  }
  OPTIONAL {
    ?position fb:government.government_position_held.to ?endDate
  }
}

Abraham Lincoln's political experience includes holding the office positions of President of the United States from 1861-03-04 to 1865-04-15, United States Representative from 1847-03-04 to 1849-03-03, and Member of Illinois House of Representatives from 1834-12-01 to 1842. There is no record of him holding any office position starting from March 19, 1790, which is before his birth.

[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]
To answer the question, I need to find the office position held by Abraham Lincoln starting from March 19, 1790, which was his political experience.

Step 1: Identify the entity for Abraham Lincoln in the knowledge graph.
Step 2: Identify the properties related to office positions or political experience.
Step 3: Find the office position held by Abraham Lincoln with a start date of March 19, 1790.

I will start by searching for the entity Abraham Lincoln in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. 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
2. Abraham Lincoln, also known as D. W. Griffith's 'Abraham Lincoln (fb:m.0413hl): Abraham Lincoln, also released under the title D. W. Griffith's ...dy. This was the first of only two sound films made by Griffith., Returning to the historic era of his greatest success, Griffith ...ith’s film depicts the American icon with sensitivity and grace., has type Film
3. Abraham Lincoln, also known as President Lincoln, Abe Lincoln, Lincoln (fb:m.07ydw8s): Abraham Lincoln is a fictional character from the 1965 film Merc...of the Rio Grande and from the 1965 film Pyramid of the Sun God., President Lincoln is the fictional representation of Abraham Lincoln appearing in several related movies and books., Abraham Lincoln is the fictional representation for the 16th President of the United States, Abraham Lincoln., Abraham Lincoln is a fictional character from the 2007 comedy drama film Rocket Science., Abraham Lincoln is a fictional character appearing in several related movies and books., Abraham Lincoln is a fictional character from the 1924 film Barbara Frietchie., Abraham Lincoln is a fictional character from the 1912 film The Higher Mercy., Abraham Lincoln is a fictional character from the film Saving Lincoln., Abraham Lincoln is a fictional character from FDR: American Badass!., has type Film character
4. Abraham Lincoln (fb:m.0bfm9f): Abraham Lincoln was the grandfather of U.S. President Abraham Li...ring the American Revolution, and a pioneer settler of Kentucky., has type Military Person
5. Abraham Lincoln (fb:m.064lz0k): Abraham Lincoln is a colossal seated figure of U.S. President Ab...k follows in the Beaux Arts and American Renaissance traditions., Abraham Lincoln monument is a sculpture by Daniel Chester French., has type Location
6. Abraham Lincoln (fb:m.0j259qq): Abraham Lincoln is a short film made in the Phonofilm sound-on-f...cey Depew giving his recollections of meeting Lincoln in person., has type Film
7. Abraham Lincoln (fb:m.059wd63): Abraham Lincoln is an 1869 oil-on-canvas painting by George Pete...the River Queen during the final days of the American Civil War., "Abraham Lincoln" is a painting of Abraham Lincoln by George P. A. Healy, has type Artwork
8. An oral history of Abraham Linco... Nicolay's interviews and essays, also known as Abraham Lincoln (fb:m.086fbs0): has type Book Edition
9. The presidency of Abraham Lincoln, also known as Abraham Lincoln. (fb:m.0b3_tq0): has type Book Edition
10. Abraham Lincoln (fb:m.09qfxf): The Abraham Lincoln is the oldest operable passenger car in the ...tates. It is listed on the National Register of Historic Places., has type Listed Site

[Assistant] I found multiple entities for Abraham Lincoln. The most relevant one for the U.S. President Abraham Lincoln is fb:m.0gzh. I will now search for properties related to office positions or political experience for this entity.

[Tool]
Top 10 property alternatives:
1. Government Positions Held (fb:government.politician.government_positions_held): links to type Government Position Held, part of Politician schema
2. Appointees (fb:government.political_appointer.appointees): links to type Government Position Held, part of Political Appointer schema
3. Employment history (fb:people.person.employment_history): links to type Employment tenure, part of Person schema
4. Profession (fb:people.person.profession): links to type Profession, part of Person schema
5. Appointment made (fb:people.appointer.appointment_made): links to type Appointment, part of Appointer schema
6. Image (fb:common.topic.image): part of Topic schema, links to type Image
7. Official name (fb:base.schemastaging.context_name.official_name): part of Context name schema, links to type Text
8. Vice president (fb:government.us_president.vice_president): links to type US Vice President, part of US President schema
9. Condition (fb:medicine.notable_person_with_medical_condition.condition): part of Public figure with medical condition schema, links to type Disease or medical condition
10. President number (fb:government.us_president.presidency_number): part of US President schema, links to type Integer

No other items found

[Assistant] The property "Government Positions Held" (fb:government.politician.government_positions_held) seems to be the most relevant to find the office positions held by Abraham Lincoln. I will now query the government positions held by Abraham Lincoln (fb:m.0gzh) and check if any of them have a start date of March 19, 1790.

[Tool]
Got 3 rows and 3 columns:
| position     | positionLabel | startDate |
| ------------ | ------------- | --------- |
| fb:m.0446bdb |               |           |
| fb:m.04j60k7 |               |           |
| fb:m.0bqspr2 |               |           |

[Assistant] I found three government positions held by Abraham Lincoln, but none of them have a start date listed. I will now check the labels of these positions to understand what office positions they represent.

[Tool]
Got 3 rows and 2 columns:
| position     | positionLabel |
| ------------ | ------------- |
| fb:m.0446bdb |               |
| fb:m.04j60k7 |               |
| fb:m.0bqspr2 |               |

[Assistant] The positions do not have English labels. I will try to find more information about these positions by listing their properties and values. I will start with the first position fb:m.0446bdb.

[Tool]
Got 8 rows and 3 columns:
| subject      | property                                                                                | object                                                            |
| ------------ | -------------------------------------------------------------------------------------------- | ----------------------------------------------------------------- |
| fb:m.0446bdb | Type (fb:type.object.type)                                                                   | Government Position Held (fb:government.government_position_held) |
| fb:m.0446bdb | Officeholder (fb:government.government_position_held.office_holder)                          | Abraham Lincoln (fb:m.0gzh)                                       |
| fb:m.0446bdb | From (fb:government.government_position_held.from)                                           | 1861-03-04 (xsd:date)                                             |
| fb:m.0446bdb | Office, position, or title (fb:government.government_position_held.office_position_or_title) | President of the United States (fb:m.060d2)                       |
| fb:m.0446bdb | Basic title (fb:government.government_position_held.basic_title)                             | President (fb:m.060c4)                                            |
| fb:m.0446bdb | Jurisdiction of office (fb:government.government_position_held.jurisdiction_of_office)       | United States of America (fb:m.09c7w0)                            |
| fb:m.0446bdb | To (fb:government.government_position_held.to)                                               | 1865-04-15 (xsd:date)                                             |
| fb:m.0446bdb | rdf:type                                                                                | Government Position Held (fb:government.government_position_held) |

[Assistant]
The first position fb:m.0446bdb is "President of the United States" held by Abraham Lincoln from 1861-03-04 to 1865-04-15. This is not the position starting from March 19, 1790.

I will now check the second position fb:m.04j60k7.

[Tool]
Got 8 rows and 3 columns:
| subject      | property                                                                                | object                                                            |
| ------------ | -------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------- |
| fb:m.04j60k7 | Type (fb:type.object.type)                                                                                | Government Position Held (fb:government.government_position_held) |
| fb:m.04j60k7 | Officeholder (fb:government.government_position_held.office_holder)                                                  | Abraham Lincoln (fb:m.0gzh)                                       |
| fb:m.04j60k7 | Governmental body (if position is part of one) (fb:government.government_position_held.governmental_body)            | United States House of Representatives (fb:m.0b3wk)               |
| fb:m.04j60k7 | From (fb:government.government_position_held.from)                                                                   | 1847-03-04 (xsd:date)                                             |
| fb:m.04j60k7 | Office, position, or title (fb:government.government_position_held.office_position_or_title)                         | United States Representative (fb:m.02_bcst)                       |
| fb:m.04j60k7 | District represented (if position is district-related) (fb:government.government_position_held.district_represented) | Illinois's 7th congressional district (fb:m.026gwvx)              |
| fb:m.04j60k7 | To (fb:government.government_position_held.to)                                                                       | 1849-03-03 (xsd:date)                                             |
| fb:m.04j60k7 | rdf:type                                                                                | Government Position Held (fb:government.government_position_held) |

[Assistant]
The second position fb:m.04j60k7 is "United States Representative" held by Abraham Lincoln from 1847-03-04 to 1849-03-03. This is also not the position starting from March 19, 1790.

I will now check the third position fb:m.0bqspr2.

[Tool]
Got 8 rows and 3 columns:
| subject      | property                                                                                | object                                                            |
| ------------ | --------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------- |
| fb:m.0bqspr2 | Type (fb:type.object.type)                                                                                | Government Position Held (fb:government.government_position_held) |
| fb:m.0bqspr2 | Officeholder (fb:government.government_position_held.office_holder)                                       | Abraham Lincoln (fb:m.0gzh)                                       |
| fb:m.0bqspr2 | Governmental body (if position is part of one) (fb:government.government_position_held.governmental_body) | Illinois House of Representatives (fb:m.03j8g1)                   |
| fb:m.0bqspr2 | From (fb:government.government_position_held.from)                                                        | 1834-12-01 (xsd:date)                                             |
| fb:m.0bqspr2 | Office, position, or title (fb:government.government_position_held.office_position_or_title)              | Member of Illinois House of Representatives (fb:m.052m6c2)        |
| fb:m.0bqspr2 | Jurisdiction of office (fb:government.government_position_held.jurisdiction_of_office)                    | Illinois (fb:m.03v0t)                                             |
| fb:m.0bqspr2 | To (fb:government.government_position_held.to)                                                            | 1842 (xsd:gYear)                                                  |
| fb:m.0bqspr2 | rdf:type                                                                                | Government Position Held (fb:government.government_position_held) |

[Assistant]
The third position fb:m.0bqspr2 is "Member of Illinois House of Representatives" held by Abraham Lincoln from 1834-12-01 to 1842. This is also not the position starting from March 19, 1790.

Since none of Abraham Lincoln's known political positions start from March 19, 1790, and considering Abraham Lincoln was born in 1809, it is unlikely he held any office position starting from that date.

I will now answer the question with the political experience of Abraham Lincoln based on the positions found.

[Tool] Stopped generation process


PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?country ?countryLabel WHERE {
  ?country rdf:type fb:location.country .
  ?country fb:location.country.official_language fb:m.05zjd .
  ?country fb:location.statistical_region.gdp_real ?gdpReal .
  ?gdpReal fb:measurement_unit.adjusted_money_value.adjusted_value 100236410771.0 .
  OPTIONAL {
    ?country rdfs:label ?countryLabel .
    FILTER ( LANG( ?countryLabel ) = "en" )
  }
}

No country was found with the exact GDP Real Adjusted Value of 100236410771.0 where Portuguese is spoken.

[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]
To answer this question, I need to find a country with a GDP Real Adjusted Value of 100236410771.0 and then check if the people in that country speak Portuguese.

Step 1: Identify the property for GDP Real Adjusted Value in the knowledge graph.
Step 2: Find the country with the specified GDP Real Adjusted Value.
Step 3: Check if the language spoken in that country includes Portuguese.

I will start by searching for properties related to "GDP Real Adjusted Value" to identify the correct property to use in the query.

[Tool]
Top 10 property alternatives:
1. GDP real (fb:location.statistical_region.gdp_real): links to type Adjusted money value, part of Statistical region schema
2. GDP (nominal) (fb:location.statistical_region.gdp_nominal): part of Statistical region schema, links to type Dated Money Value
3. GDP (nominal) (fb:location.country.gdp_nominal): links to type Dated Money Value, part of Country schema
4. GDP growth rate (fb:location.statistical_region.gdp_growth_rate): part of Statistical region schema, links to type Dated Percentage
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. Adjusted value (fb:measurement_unit.adjusted_money_value.adjusted_value): links to type Floating Point Number, part of Adjusted money value schema
8. Economy Rate (fb:cricket.cricket_bowler_stats.economy_rate): links to type Floating Point Number, part of Cricket Bowler Stats schema
9. Gross Savings (% of GDP) (fb:location.statistical_region.gross_savings_as_percent_of_gdp): part of Statistical region schema, links to type Dated Percentage
10. GDP deflator change (fb:location.statistical_region.gdp_deflator_change): part of Statistical region schema, links to type Dated Percentage

[Assistant]
The property fb:location.statistical_region.gdp_real seems to be related to "GDP Real" and links to the type Adjusted money value, which fits the description of GDP Real Adjusted Value.

Next, I will search for countries with this GDP Real Adjusted Value of 100236410771.0 using this property.

[Tool] Got no rows and 2 columns

[Assistant]
No country was found with the exact GDP Real Adjusted Value of 100236410771.0 using the property fb:location.statistical_region.gdp_real. It is possible that the value is stored with a slight difference or under a different property.

I will try to search for countries with GDP values close to 100236410771.0 by using a range filter to see if there is a close match.

[Tool] Got no rows and 3 columns

[Assistant]
No countries were found with GDP Real Adjusted Value close to 100236410771.0 using the property fb:location.statistical_region.gdp_real.

I will try to check if the property fb:location.country.gdp_nominal (GDP nominal) might have values close to the given GDP value, as it is also related to GDP for countries.

[Tool] Got no rows and 3 columns

[Assistant]
No countries were found with GDP nominal values close to 100236410771.0 using the property fb:location.country.gdp_nominal either.

Since the exact GDP Real Adjusted Value of 100236410771.0 does not seem to be present or indexed in the knowledge graph, I will try a different approach.

I will search for countries where the language spoken is Portuguese and then check their GDP Real Adjusted Value to see if any matches or is close to the given value. First, I will search for the entity "Portuguese" to identify the language entity.

[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 entity fb:m.05zjd corresponds to the Portuguese Language.

Next, I will find countries where the language spoken includes this Portuguese language entity.

[Tool] Got no rows and 2 columns

[Assistant]
No results were found using the property fb:location.country.official_language or fb:location.country.language_spoken with the language name "Portuguese".

I will try to find properties related to language spoken or official language for countries to identify the correct property to use.

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

No other items found

[Assistant]
The search for language-related properties of the entity fb:location.country did not return relevant properties.

I will try to search for properties related to language in general to find a property that links countries to languages.

[Tool]
Top 10 property alternatives:
1. Language (fb:base.christmas.christmas_carol.language): part of Christmas carol schema, links to type Human Language
2. Language (fb:broadcast.tv_channel.language): links to type Human Language, part of TV Channel schema
3. Language (fb:base.jewlib.research_collection.language): part of Jewish Studies Collection schema, links to type Human Language
4. Language (fb:base.webvideo.internet_video_series.language): part of Internet Video Series schema, links to type Human Language
5. Language (fb:language.language_dialect.language): part of Language Dialect schema, links to type Human Language
6. Language (fb:book.book_edition.language): links to type Human Language, part of Book Edition schema
7. Language (fb:base.cldrinfo.langinfo.language): links to type cldr_language, part of langinfo schema
8. Language (fb:base.references.manuscript.language): links to type Human Language, part of Manuscript schema
9. Language (fb:internet.blog.language): links to type Human Language, part of Blog schema
10. Language (fb:opera.opera.language): links to type Human Language, part of Opera schema

[Assistant]
The search for language-related properties did not return a property directly linking countries to languages.

I will try to find the property for official language of a country by searching for "official language" in the properties.

[Tool]
Top 10 property alternatives:
1. Official Language (fb:location.country.official_language): links to type Human Language, part of Country schema
2. Official Language(s) (fb:user.ktrueman.default_domain.international_organization.official_language_s): part of International Organization schema, links to type Official Language
3. language (fb:base.semantics.expression.language): part of expression schema, links to type Language
4. Language (fb:base.writing.idiom.language): links to type Human Language, part of Idiom schema
5. Language (fb:user.ameroamigo.default_domain.numismatic_item.language): part of Numismatic Item schema, links to type Type
6. Language (fb:user.fabricio.default_domain.computer_program.language): links to type Programming Language, part of Computer Script schema
7. Language (fb:user.hangy.default_domain.pronunciation.language): links to type Human Language, part of Pronunciation schema
8. Language (fb:base.italiantv.foreign_language_adaptation.language): part of Foreign language adaptation schema, links to type Human Language
9. Language (fb:user.pumpkin.etymology.word.language): links to type Human Language, part of Word schema
10. Language (fb:base.blurbhighlights.highlight.language): part of Highlight schema, links to type Language

[Assistant]
The property fb:location.country.official_language is the correct property for official language of a country.

I will now query countries with the official language Portuguese (fb:m.05zjd) using this property.

[Tool]
Got 14 rows and 2 columns, showing the first 5 and last 5 rows below:
| country                                        | countryLabel                         |
| ---------------------------------------------- | ------------------------------------ |
| Brazil (fb:m.015fr)                            | Brazil (en)                          |
| Cape Verde (fb:m.01nqj)                        | Cape Verde (en)                      |
| Empire of Brazil (fb:m.01nr2h)                 | Empire of Brazil (en)                |
| Equatorial Guinea (fb:m.02kcz)                 | Equatorial Guinea (en)               |
| Timor-Leste (fb:m.02lx0)                       | Timor-Leste (en)                     |
| ...                                            | ...                                  |
| Portugal (fb:m.05r4w)                          | Portugal (en)                        |
| People's Republic of Angola (fb:m.0642vvl)     | People's Republic of Angola (en)     |
| People's Republic of Mozambique (fb:m.0642x_w) | People's Republic of Mozambique (en) |
| Angola (fb:m.0j4b)                             | Angola (en)                          |
| São Tomé and Príncipe (fb:m.0j681)             | São Tomé and Príncipe (en)           |

[Assistant]
I found countries where Portuguese is an official language. Now I will check the GDP Real Adjusted Value for these countries to see if any matches the given value 100236410771.0.

I will start by checking the GDP Real Adjusted Value for Brazil (fb:m.015fr) as an example.

[Tool]
Got 1 row and 1 column:
| gdpRealValue  |
| ------------- |
| 1166716261850 |

[Assistant]
The GDP Real Adjusted Value for Brazil is 1166716261850, which does not match the given value 100236410771.0.

I will now check the GDP Real Adjusted Value for another Portuguese-speaking country, Portugal (fb:m.05r4w).

[Tool]
Got 1 row and 1 column:
| gdpRealValue |
| ------------ |
| 190474605407 |

[Assistant]
The GDP Real Adjusted Value for Portugal is 190474605407, which also does not match the given value 100236410771.0.

I will check the GDP Real Adjusted Value for another Portuguese-speaking country, Angola (fb:m.0j4b).

[Tool]
Got 1 row and 1 column:
| gdpRealValue |
| ------------ |
| 58786650195  |

[Assistant]
The GDP Real Adjusted Value for Angola is 58786650195, which does not match the given value 100236410771.0.

I will check the GDP Real Adjusted Value for Cape Verde (fb:m.01nqj), another Portuguese-speaking country.

[Tool]
Got 1 row and 1 column:
| gdpRealValue |
| ------------ |
| 1366640589   |

[Assistant]
The GDP Real Adjusted Value for Cape Verde is 1366640589, which does not match the given value 100236410771.0.

Since none of the Portuguese-speaking countries checked so far have the exact GDP Real Adjusted Value of 100236410771.0, I will now check all Portuguese-speaking countries with their GDP Real Adjusted Values to see if any matches the given value.

[Tool]
Got 643 rows and 3 columns, showing the first 5 and last 5 rows below:
| country                            | countryLabel               | gdpRealValue |
| ---------------------------------- | -------------------------- | ------------ |
| Brazil (fb:m.015fr)                | Brazil (en)                | 152193263569 |
| Brazil (fb:m.015fr)                | Brazil (en)                | 632932129222 |
| Brazil (fb:m.015fr)                | Brazil (en)                | 917079810529 |
| Brazil (fb:m.015fr)                | Brazil (en)                | 476813086642 |
| Brazil (fb:m.015fr)                | Brazil (en)                | 882185702547 |
| ...                                | ...                        | ...          |
| São Tomé and Príncipe (fb:m.0j681) | São Tomé and Príncipe (en) | 106562250    |
| São Tomé and Príncipe (fb:m.0j681) | São Tomé and Príncipe (en) | 160677412    |
| São Tomé and Príncipe (fb:m.0j681) | São Tomé and Príncipe (en) | 108682555    |
| São Tomé and Príncipe (fb:m.0j681) | São Tomé and Príncipe (en) | 183276681    |
| São Tomé and Príncipe (fb:m.0j681) | São Tomé and Príncipe (en) | 116002766    |

[Assistant]
There are multiple GDP Real Adjusted Values for Portuguese-speaking countries, but none exactly matches the given value 100236410771.0.

Given the data, it seems there is no country with the exact GDP Real Adjusted Value of 100236410771.0 where Portuguese is spoken.

I will now finalize the answer stating that no such country was found.

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?formOfGovernment ?formOfGovernmentLabel WHERE {
  fb:m.015fr fb:location.country.form_of_government ?formOfGovernment .
  OPTIONAL {
    ?formOfGovernment rdfs:label ?formOfGovernmentLabel .
    FILTER ( lang( ?formOfGovernmentLabel ) = "en" )
  }
}

Got 3 rows and 2 columns:
| formOfGovernment                      | formOfGovernmentLabel        |
| ------------------------------------- | ---------------------------- |
| Presidential system (fb:m.01d9r3)     | Presidential system (en)     |
| Constitutional republic (fb:m.0c9rw5) | Constitutional republic (en) |
| Federal republic (fb:m.0j729)         | Federal republic (en)        |

The place that has the Superior Electoral Court is Brazil. The type of political system in Brazil includes 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]
The question asks about the type of political system in the place that has the Superior Electoral Court. To answer this, I need to:

1. Identify the entity "Superior Electoral Court" in the knowledge graph.
2. Find the place (country or region) associated with this Superior Electoral Court.
3. Determine the type of political system in that place.

I will start by searching for the entity "Superior Electoral Court" in the freebase knowledge graph.

[Tool]
Top 10 entity alternatives:
1. 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
2. Superior court (fb:m.01snhn): In common law systems, a superior court is a court of general co...ous nature. A superior court may hear appeals from lower courts.
3. Superior Court (fb:m.0gw_85b): Superior Court is a dramatized court show that aired in syndicat...runs were later aired on the USA Network during the early 1990s., has type TV Program
4. Electoral Court of Uruguay, also known as Electoral Court (fb:m.06wbpx8): The Electoral Court is the autonomous court which oversees elect...ic the National Teachers Assemblies or the Social Security Bank.
5. superior court (fb:m.07rsfmq)
6. Regional Electoral Courts, also known as Regional Electoral Court (fb:m.0cc1rq): Regional Electoral Court is a level of the electoral court syste...e regional courts are in charge of elections at the state level., has type Court
7. Superior Labor Court (fb:m.04yfxn0): The Superior Labor Court or Tribunal Superior do Trabalho, in Po...l level, and the Trial Labor Courts in the first instance level., has type Court
8. Quebec Superior Court (fb:m.0b70vn): Quebec Superior Court is the highest trial Court in the Province...s Alan B. Gold Lawrence A. Poitras Lyse Lemieux François Rolland, has type Court
9. Delaware Superior Court (fb:m.0c02fq): The Delaware Superior Court, previously known as the Superior Co...mon Pleas, Family Court, and most state administrative agencies., has type Court
10. Massachusetts Superior Court (fb:m.0g9t2_h): The Massachusetts Superior Court is a trial court department in ... appellate jurisdiction over certain administrative proceedings., has type Organization

[Assistant]
The entity "Superior Electoral Court" corresponds to the highest body of the Brazilian electoral justice system (fb:m.0cc1cy). This court is associated with Brazil.

Next, I need to find the type of political system in Brazil. I will search for the entity "Brazil" and then look for properties related to its political system.

[Tool]
Top 10 entity alternatives:
1. Brazil, also known as Brasil, República Federativa do Brasil, Federative Republic of Brazil, Brazilian  (fb:m.015fr): Brazil, officially the Federative Republic of Brazil, is the lar... Cabral in 1500, who claimed the area for the Portuguese Empire., has type Country
2. Brazil, also known as Brazil: The Love Conquers All Version, 1984 and 1/2, 1984½ (fb:m.0jwmp): Brazil is a 1985 British film directed by Terry Gilliam and writ... initial North America release. It has since become a cult film., has type Film
3. Brazil (fb:m.05xgcwp): has type Author
4. Brazil, also known as Brazil, Indiana, Clay County / Brazil city (fb:m.0skhw): Brazil is a city in Clay County, Indiana, United States. The pop...a. The current chief executive of Brazil is Mayor Brian Wyndham., has type City/Town/Village
5. Aquarela do Brasil, also known as Brazil, Watercolor of Brazil (fb:m.0744wh): "Aquarela do Brasil", known in the English-speaking world simply...the most famous Brazilian songs, written by Ary Barroso in 1939., has type Composition
6. Brasil, also known as Brazil, Hy-Brasil (fb:m.03dmm5): Brasil, also known as Hy-Brasil or several other variants, is a ...en years, when it became visible but still could not be reached., has type Fictional Setting
7. Brazil (fb:m.0807c3h): Brazil is a 1944 American musical comedy film directed by Joseph...ding as twins, trying to win the hand of an anti-Latin novelist., has type Film
8. Brasil 1953, also known as Brasil 1953, Brazil (fb:m.0f77pz_): has type Musical Recording
9. Brazil (fb:m.0dr5zh4): has type Musical Recording
10. Brazil (fb:m.01pghg3): Brazil was an Indiana rock band. Although the band eschews label...e Cure. Brazil have released two full-length albums and two EPs., has type Musical Group

[Assistant]
The entity for Brazil is fb:m.015fr, which is the country Brazil.

Now, I will search for properties related to the political system of Brazil (fb:m.015fr). I will look for properties that might indicate the type of political system.

[Tool]
Top 10 property alternatives:
1. Form of Government (fb:location.country.form_of_government): links to type Form of Government, part of Country schema
2. Government (fb:government.governmental_jurisdiction.government): part of Governmental Jurisdiction schema, links to type Government
3. Government bodies (fb:government.governmental_jurisdiction.government_bodies): part of Governmental Jurisdiction schema, links to type Governmental Body
4. Government positions (fb:government.governmental_jurisdiction.government_positions): links to type Government Office or Title, part of Governmental Jurisdiction schema
5. Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held
6. Administrative Divisions (fb:location.country.administrative_divisions): links to type Administrative Division, part of Country schema
7. Official Language (fb:location.country.official_language): links to type Human Language, part of Country schema
8. Courts (fb:law.court_jurisdiction_area.courts): part of Court jurisdiction area schema, links to type Court
9. Country (fb:user.kenny1234567.organization_registration_classification_by_country.country.country): part of Country schema, links to type Text
10. Key (fb:type.object.key): part of Object schema, links to type Key

No other items found

[Assistant]
The property "Form of Government" (fb:location.country.form_of_government) seems to be the most relevant to the type of political system.

I will now query the value of the "Form of Government" property for Brazil (fb:m.015fr).

[Tool]
Got 3 rows and 2 columns:
| formOfGovernment                      | formOfGovernmentLabel        |
| ------------------------------------- | ---------------------------- |
| Presidential system (fb:m.01d9r3)     | Presidential system (en)     |
| Constitutional republic (fb:m.0c9rw5) | Constitutional republic (en) |
| Federal republic (fb:m.0j729)         | Federal republic (en)        |

[Tool] Stopped generation process


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

The person who said 'heartthrobs are a dime a dozen' is Brad Pitt. The people Brad Pitt dated are identified by the following Freebase IDs: 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. Unfortunately, their names are not available in the knowledge graph.

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

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

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

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

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

[User] Who dated the person who said "heartthrobs are a dime a dozen"?

[Assistant]
The question asks for the person who dated the individual who said the quote "heartthrobs are a dime a dozen." To answer this, I need to:

1. Identify the person who said the quote "heartthrobs are a dime a dozen."
2. Find the person who dated that individual.

Step 1: Search for the person who said the quote "heartthrobs are a dime a dozen." I will search for entities related to this quote or the quote itself.

[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] I found an entity "Heartthrobs are a dime a dozen" with the type Quotation (fb:m.0jwjc36). Now I need to find the person who said this quotation. I will search for the property or relation that links this quotation to the person who said it.

[Tool]
Got 15 rows and 3 columns, showing the first 10 rows below:
| subject                                       | property                                      | object                                                                    |
| --------------------------------------------- | --------------------------------------------- | ------------------------------------------------------------------------- |
| Heartthrobs are a dime a dozen (fb:m.0jwjc36) | Type (fb:type.object.type)                    | Topic (fb:common.topic)                                                   |
| Heartthrobs are a dime a dozen (fb:m.0jwjc36) | Name (fb:type.object.name)                    | Heartthrobs are a dime a dozen (en)                                       |
| Heartthrobs are a dime a dozen (fb:m.0jwjc36) | Notable for (fb:common.topic.notable_for)     | fb:g.1258p72bw                                                            |
| Heartthrobs are a dime a dozen (fb:m.0jwjc36) | Notable types (fb:common.topic.notable_types) | Quotation (fb:m.02hyl2s)                                                  |
| Heartthrobs are a dime a dozen (fb:m.0jwjc36) | Author (fb:media_common.quotation.author)     | Brad Pitt (fb:m.0c6qh)                                                    |
| Heartthrobs are a dime a dozen (fb:m.0jwjc36) | Source (fb:media_common.quotation.source)     | http://www.brainyquote.com/quotes/authors/b/brad_pitt.html (fb:m.0jwjc3d) |
| Heartthrobs are a dime a dozen (fb:m.0jwjc36) | rdf:type                                      | Topic (fb:common.topic)                                                   |
| Heartthrobs are a dime a dozen (fb:m.0jwjc36) | fb:kg.object_profile.prominent_type           | Quotation (fb:media_common.quotation)                                     |
| Heartthrobs are a dime a dozen (fb:m.0jwjc36) | rdfs:label                                    | Heartthrobs are a dime a dozen (en)                                       |
| Heartthrobs are a dime a dozen (fb:m.0jwjc36) | Type (fb:type.object.type)                    | Non-Agent (fb:base.type_ontology.non_agent)                               |
| ...                                           | ...                                           | ...                                                                       |

[Assistant] The quote "Heartthrobs are a dime a dozen" was said by Brad Pitt (fb:m.0c6qh). Now, I need to find the person who dated Brad Pitt. I will search for properties related to dating or relationships for Brad Pitt.

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

No other items found

[Assistant] There is a property "Dated" (fb:base.popstra.celebrity.dated) related to dating for Brad Pitt. I will now query the people Brad Pitt dated using this property.

[Tool]
Got 18 rows and 2 columns, showing the first 5 and last 5 rows below:
| person       | personLabel |
| ------------ | ----------- |
| 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 several people, but their labels (names) are not shown in the query results. I will now query the labels (names) of these people to identify who they are. I will do this by querying the labels for the first few entities.

[Tool]
Got 5 rows and 2 columns:
| person       | personLabel |
| ------------ | ----------- |
| fb:m.063g4f2 |             |
| fb:m.064bhq6 |             |
| fb:m.064bhr2 |             |
| fb:m.064f25x |             |
| fb:m.065p_2z |             |

[Assistant] The labels for the people Brad Pitt dated are not available in the knowledge graph for the first few entities. I will try to get the labels for all the people Brad Pitt dated to see if any have labels.

[Tool]
Got 18 rows and 2 columns, showing the first 5 and last 5 rows below:
| person       | personLabel |
| ------------ | ----------- |
| 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] The knowledge graph does not provide labels for the people Brad Pitt dated. However, I have identified the people he dated by their identifiers. I will provide these identifiers as the answer since no labels are available.

[Tool] Stopped generation process