PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?officialName WHERE {
  fb:m.01vsgrn fb:base.schemastaging.context_name.official_name ?officialName .
}

Got 2 rows and 1 column:
| officialName                    |
| ------------------------------- |
| Marshall Bruce Mathers III (en) |
| Marshall Bruce Mathers III (lt) |

Eminem's real full name is Marshall Bruce Mathers III.

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

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

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

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

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

[User] what is eminem's real full name?

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

[Tool]
Example 1:
Question:
what money do they use in chile?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01p1v ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01p1v fb:location.country.currency_used ?x .
}

Using entities:
Chile, also known as Republic of Chile (fb:m.01p1v): Chile, officially the Republic of Chile, is a South American cou...nth of fjords, inlets, canals, twisting peninsulas, and islands., has type Country

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

Example 2:
Question:
who voiced darth vader in revenge of the sith?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0fdv3 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0fdv3 fb:film.film.starring ?y .
  ?y fb:film.performance.actor ?x .
  ?y fb:film.performance.character fb:m.0f2y0 .
}

Using entities:
Darth Vader, also known as Anakin Skywalker, Lord Vader (fb:m.0f2y0): Darth Vader is a fictional character in the Star Wars universe. ...00 Heroes and Villains, behind Hannibal Lecter and Norman Bates., has type Film character
Star Wars Episode III: Revenge of the Sith, also known as Revenge of the Sith, tar Wars II..., Star Wars: Revenge of the Sith (fb:m.0fdv3): Star Wars Episode III: Revenge of the Sith is a 2005 American ep... production of Star Wars Episode II: Attack of the Clones began., (19 Years before Episode IV) Three years after the onset of the ... will grow up to become Luke Skywalker and Princess Leia Organa., has type Film

Using properties:
Performances (fb:film.film.starring): links to type Film performance, part of Film schema
Actor (fb:film.performance.actor): part of Film performance schema, links to type Film actor
Character (fb:film.performance.character): part of Film performance schema, links to type Film character

Example 3:
Question:
what country did giovanni da verrazano represent?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0k6d2 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0k6d2 fb:people.person.nationality ?x .
}

Using entities:
Giovanni da Verrazzano (fb:m.0k6d2): Giovanni da Verrazzano was a Florentine explorer of North Americ...f the Navigatori class, are among his numerous eponymous honors., has type Author

Using properties:
Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country

[Assistant]
From the examples, the pattern to find a person's real full name is to identify the entity for the person and then find a property related to their "real name" or "full name."

Step 1: Search for the entity "Eminem" in the knowledge graph to get his identifier.
Step 2: Search for properties related to "real name" or "full name" for the Eminem entity.
Step 3: Construct a SPARQL query to retrieve Eminem's real full name.

I will start by searching for the entity "Eminem."

[Tool]
Top 10 entity alternatives:
1. Eminem, also known as Marshall Matters, M. Masters, Mathers, M.B.Mathers III, M&M (fb:m.01vsgrn): Marshall Bruce Mathers III, better known by his stage name Emine...re worldwide successes, with each certified diamond in US sales., has type Musical Artist
2. Michael Clarke, also known as Clarkey, Top Dog, Pup, Nemo, Michael John Clarke (fb:m.03mrdf): Michael John Clarke is an Australian Test cricketer and current ...ralia to a 5–0 whitewash of England in the 2013–14 Ashes series., has type Cricket Bowler
3. Eminem (fb:m.0q5kjn8): has type Musical Recording
4. Cleaning Out My Closet. Eminem - The Stories Behind Every Song, also known as Eminem (fb:m.06s53_m): has type Book
5. Eminem, Mike Tyson, also known as Eminem (fb:m.06ybd53): has type TV Episode
6. Eminem (fb:m.05dmrft): has type TV Episode
7. Eminem (fb:m.0fs8ldn): has type Musical Recording
8. Eminem (fb:m.07k3g3x): has type TV Episode
9. Eminem Eminem (fb:m.019y87t): has type Musical Recording
10. Eminem (fb:m.0q8b3xx): has type Musical Recording

[Assistant]
The entity for Eminem as a musical artist is fb:m.01vsgrn. This entity also mentions the name "Marshall Bruce Mathers III," which is likely his real full name.

Next, I will search for properties related to "real name" or "full name" for this entity fb:m.01vsgrn.

[Tool]
Top 10 property alternatives:
1. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
2. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
3. Name (fb:type.object.name): part of Object schema, links to type Text
4. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
5. Name ID (fb:imdb.topic.name_id): links to type Enumeration, part of Topic schema
6. Username (fb:user.ngerakines.social_software.twitter_user.twitter_username): part of Twitter User schema, links to type Text
7. Username (fb:base.myspace.myspace_user.username): part of Myspace user schema, links to type Text
8. Official name (fb:base.schemastaging.context_name.official_name): part of Context name schema, links to type Text
9. Musical Artist Home Page (fb:music.artist.home_page): part of Musical Artist schema, links to type Webpage
10. Impersonated by (fb:base.americancomedy.impersonated_celebrity.impersonated_by): links to type Celebrity impressionist, part of Impersonated celebrity schema

No other items found

[Assistant]
The property "Name" (fb:type.object.name) seems to be the most relevant for retrieving Eminem's real full name.

I will now construct a SPARQL query to retrieve the name of the entity fb:m.01vsgrn (Eminem). I will also include an optional clause to get the label of the name if available.

[Tool]
Got 10 rows and 1 column:
| name            |
| --------------- |
| Eminem (ca)     |
| Eminem (cs)     |
| Eminem (da)     |
| Eminem (de)     |
| Eminem (el)     |
| Eminem (en)     |
| Eminem (es)     |
| Eminem (es-419) |
| Eminem (et)     |
| Eminem (fi)     |

[Assistant]
The property fb:type.object.name returns the stage name "Eminem" in various languages, not the real full name.

I will try searching for properties related to "full name" or "real name" again but with a broader query to see if there is a more specific property for the real full name of Eminem.

[Tool]
Top 10 property alternatives:
1. Name (fb:type.object.name): part of Object schema, links to type Text
2. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
3. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
4. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
5. Name ID (fb:imdb.topic.name_id): links to type Enumeration, part of Topic schema
6. Username (fb:user.ngerakines.social_software.twitter_user.twitter_username): part of Twitter User schema, links to type Text
7. Username (fb:base.myspace.myspace_user.username): part of Myspace user schema, links to type Text
8. Official name (fb:base.schemastaging.context_name.official_name): part of Context name schema, links to type Text
9. Key (fb:type.object.key): part of Object schema, links to type Key
10. Member of (fb:music.group_member.membership): links to type Musical Group Membership, part of Musician schema

No other items found

[Assistant]
There is a property "Official name" (fb:base.schemastaging.context_name.official_name) which might contain the real full name of Eminem.

I will try to query this property for the entity fb:m.01vsgrn to see if it returns the real full name.

[Tool]
Got 2 rows and 1 column:
| officialName                    |
| ------------------------------- |
| Marshall Bruce Mathers III (en) |
| Marshall Bruce Mathers III (lt) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves Eminem's real full name from the Freebase knowledge graph. The answer 'Marshall Bruce Mathers III' is accurate and matches the execution result. The query uses the appropriate entity and property to get the official name. The output is complete and correctly formatted, so no further refinement is needed.


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

Got 1 row and 2 columns:
| language                      | languageLabel         |
| ----------------------------- | --------------------- |
| Spanish Language (fb:m.06nm1) | Spanish Language (en) |

The official language spoken in Argentina is Spanish 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 do speak in argentina?

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

[Tool]
Example 1:
Question:
who's betty white?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.025mb_ ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.025mb_ fb:people.person.profession ?x .
}

Using entities:
Betty White, also known as Betty White Ludden, Gerrie, Betty Marion White Ludden, Betty Marion White (fb:m.025mb_): Betty White Ludden, known professionally as Betty White, is an A...ght Live, a performance which earned her a Primetime Emmy award., has type Film actor

Using properties:
Profession (fb:people.person.profession): links to type Profession, part of Person schema

Example 2:
Question:
what school did sergio romo go to?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.04cyz8g ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.04cyz8g fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
}

Using entities:
Sergio Romo (fb:m.04cyz8g): Sergio Francisco Romo is a Mexican-American professional basebal... clinching games of the NL Division Series and the World Series., has type Baseball Player

Using properties:
Institution (fb:education.education.institution): links to type Educational Institution, part of Education schema
Education (fb:people.person.education): links to type Education, part of Person schema

Example 3:
Question:
what's the national sport of puerto rico?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.05r7t ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.05r7t fb:sports.sports_team_location.teams ?x .
}

Using entities:
Puerto Rico, also known as Borinquen, Commonwealth of Puerto Rico (fb:m.05r7t): Puerto Rico, officially the Commonwealth of Puerto Rico, is a Un...e, the island's culture and physical landscape were transformed., has type Country

Using properties:
Teams (fb:sports.sports_team_location.teams): part of Sports Team Location schema, links to type Sports Team

[Assistant]
The question is about the language spoken in Argentina. From the examples, we see that the approach is to identify the entity (Argentina) and then find the relevant property related to language spoken.

Step 1: Search for the entity "Argentina" in the knowledge graph.
Step 2: Search for properties related to language for the entity Argentina.
Step 3: Construct a SPARQL query to get the language spoken in Argentina.

Let's start by searching for the entity "Argentina".

[Tool]
Top 10 entity alternatives:
1. Argentina, also known as Agrentina , Argentine Republic, The Argentine (fb:m.0jgd): Argentina, officially the Argentine Republic, is a federal repub...a federation of provinces with Buenos Aires as its capital city., has type Country
2. Government of Argentina, also known as Argentina (fb:m.0hq82): The government of Argentina, functioning within the framework of...iary is independent from the Executive and from the Legislature., has type Author
3. Argentina (fb:m.0j7kl99): Argentina is a genus of herring smelts., has type Organism Classification
4. Argentina (fb:m.0b6mhsj): The Argentina is an Italian river in the province of Imperia., has type River
5. Argentina (fb:m.0760t3): Argentina is a genus of plants in the rose family which is accep...ecies, but classified in Potentilla sect. Leptostylae by others., has type Organism Classification
6. Argentina (fb:m.017j0f4): has type Musical Recording
7. argentina (fb:m.0xd0y2b): has type Musical Recording
8. Argentina (fb:m.0c6zptt): has type Book Edition
9. Argentina (fb:m.0fvh31b): has type Musical Recording
10. Argentina (fb:m.0x3p0w1): has type Consumer product

[Assistant] The entity for the country Argentina is fb:m.0jgd. Next, I will search for properties related to language for this entity to find the relevant property that indicates the language spoken in Argentina.

[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. Titles (fb:media_common.netflix_genre.titles): part of Netflix Genre schema, links to type Netflix Title
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. Religions (fb:location.statistical_region.religions): links to type Religion percentage, part of Statistical region schema

No other items found

[Assistant]
There are two relevant properties related to language for the entity Argentina:
1. Languages spoken (fb:location.country.languages_spoken)
2. Official Language (fb:location.country.official_language)

Since the question is about the language spoken in Argentina, we can use either property. The "Official Language" property might be more precise for the main language spoken.

Next, I will construct a SPARQL query to get the official language(s) of Argentina using the property fb:location.country.official_language.

[Tool]
Got 1 row and 2 columns:
| language                      | languageLabel         |
| ----------------------------- | --------------------- |
| Spanish Language (fb:m.06nm1) | Spanish Language (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the official language of Argentina using the property fb:location.country.official_language. The query returns the language identifier and its English label, which is Spanish Language. The answer provided is accurate and complete. No further refinement is necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?postalCode WHERE {
  fb:m.0qskp fb:location.citytown.postal_codes ?postalCode .
}

The zip codes for Jonesboro, Arkansas are 72401, 72402, 72403, and 72404.

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

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

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

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

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

[User] what is the zip code for jonesboro ar?

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

[Tool]
Example 1:
Question:
what is the name of justin bieber brother?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.06w2sn5 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.06w2sn5 fb:people.person.sibling_s ?y .
  ?y fb:people.sibling_relationship.sibling ?x .
  ?x fb:people.person.gender fb:m.05zppz .
}

Using entities:
Male, also known as Men, Man, Guy, Dude, Boy (fb:m.05zppz): A male organism is the physiological sex that produces sperm. Ea... sex depending on the number of females present in the vicinity., has type Risk Factor
Justin Bieber, also known as J-Beebs, The Bieb, Justin Drew Bieber, Justin, JBiebs (fb:m.06w2sn5): Justin Drew Bieber is a Canadian singer and songwriter. Bieber's...o with the most dislikes, and the most views on a Vevo platform., has type Musical Artist

Using properties:
Gender (fb:people.person.gender): part of Person schema, links to type Gender
Siblings (fb:people.person.sibling_s): links to type Sibling Relationship, part of Person schema
Sibling (fb:people.sibling_relationship.sibling): part of Sibling Relationship schema, links to type Person

Example 2:
Question:
when is the gold cup cheltenham?

SPARQL:
SELECT DISTINCT ?x WHERE {
  fb:m.03krjv fb:time.recurring_event.instances ?y .
  ?y fb:time.event.start_date ?x .
}
ORDER BY DESC ( ?x )
LIMIT 1

Using entities:
Cheltenham Gold Cup (fb:m.03krjv): The Cheltenham Gold Cup is a Grade 1 National Hunt horse race ru...in June 2011. The 2015 Cheltenham Gold Cup was won by Coneygree., has type Recurring event

Using properties:
Start date (fb:time.event.start_date): links to type Date/Time, part of Event schema
Instances (fb:time.recurring_event.instances): part of Recurring event schema, links to type Event

Example 3:
Question:
where are the nfl redskins from?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.084l5 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.084l5 fb:sports.sports_team.location ?x .
}

Using entities:
Washington Redskins, also known as The Skins (fb:m.084l5): The Washington Redskins are a professional American football tea... and have an overall postseason record of 23 wins and 17 losses., has type Professional Sports Team

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

[Assistant] The examples show how to find entities and properties related to locations and postal codes. Now, I will search for the entity "Jonesboro, AR" in the freebase knowledge graph to get its identifier. Then, I will look for properties related to postal codes or zip codes for that entity.

[Tool]
Top 10 entity alternatives:
1. Jonesboro, also known as Craighead County / Jonesboro city, Jonesboro, Arkansas (fb:m.0qskp): Jonesboro is a city in Craighead County, Arkansas, United States... for manufacturing, agriculture, medicine, education, and trade., has type City/Town/Village
2. Jonesboro, AR Metropolitan Statistical Area (fb:m.093xrf): The Jonesboro Metropolitan Statistical Area, as defined by the U...art of the larger Jonesboro-Paragould Combined Statistical Area., has type US Core Based Statistical Area
3. Jonesboro Junction, also known as Jonesboro Junction, Arkansas (fb:m.0487yb5): has type City/Town/Village
4. Arkansas State University, also known as Arkansas State University, main campus, ASU, Arkansas State University, Jonesboro (fb:m.01qv9m): Arkansas State University is a public university and is the flag...nited States. The university marked its centennial year in 2009., has type College/University
5. Jonesborough, also known as Jonesborough, County Armagh (fb:m.0cn5gk): Jonesborough or Jonesboro is a small village and civil parish in...ring area of Dromintee and crosses the county border into Louth., has type City/Town/Village
6. Jonesboro Area Technical Center (fb:m.07699tm): has type School
7. Jonesboro, AR HUD Metro FMR Area (fb:m.075k6_g): has type US Core Based Statistical Area
8. Convocation Center (A-State) Jonesboro AR (fb:m.03s9w_c)
9. Arkansas State University System, also known as Arkansas State University System, Jonesboro (fb:m.02qz4x8): The Arkansas State University System is a collection of ten camp... This move is expected to allow the System more room for growth., has type University system
10. Jonesboro–Paragould combined statistical area (fb:m.02w9nsq): The Jonesboro-Paragould Combined Statistical Area is made up of ...rea. As of the 2010 census, the CSA had a population of 163,116., has type Location

[Assistant] The entity "Jonesboro, Arkansas" is identified as fb:m.0qskp in the knowledge graph. Next, I will search for properties related to postal codes or zip codes for this entity. I will search for properties of the entity fb:m.0qskp with the query "zip code" or "postal code".

[Tool]
Top 10 property alternatives:
1. Postal codes (fb:location.citytown.postal_codes): part of City/Town/Village schema, links to type Postal Code
2. Area code (fb:base.wikipedia_infobox.settlement.area_code): part of Settlement schema, links to type Area code
3. Total Residential Addresses (fb:location.hud_foreclosure_area.total_residential_addresses): part of HUD Foreclosure Area schema, links to type Dated Integer
4. Area (fb:location.location.area): links to type Floating Point Number, part of Location schema
5. Time zone(s) (fb:location.location.time_zones): links to type Time Zone, part of Location schema
6. Geolocation (fb:location.location.geolocation): part of Location schema, links to type Geocode
7. Key (fb:type.object.key): part of Object schema, links to type Key
8. Type (fb:type.object.type): part of Object schema, links to type Type
9. County Place ID (fb:location.hud_county_place.countyplace_id): part of HUD County Place schema, links to type Enumeration
10. 90-Day Vacant Residential Addresses (fb:location.hud_foreclosure_area.total_90_day_vacant_residential_addresses): part of HUD Foreclosure Area schema, links to type Dated Integer

No other items found

[Assistant] The property "Postal codes" (fb:location.citytown.postal_codes) is related to the zip code or postal code for the city/town entity. Now, I will query the postal codes for the entity Jonesboro (fb:m.0qskp).

[Tool]
Got 4 rows and 1 column:
| postalCode           |
| -------------------- |
| 72401 (fb:m.01z4426) |
| 72404 (fb:m.01z4433) |
| 72403 (fb:m.01z45mm) |
| 72402 (fb:m.07nqgrr) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The system correctly identified the entity for Jonesboro, Arkansas, and retrieved the postal codes associated with it. The SPARQL query is appropriate and returns the actual identifiers of the postal codes as required. The answer lists all four postal codes found, which matches the query result. The output is complete and accurate for the user's question.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?invention ?inventionName WHERE {
  fb:m.0h24w fb:law.inventor.inventions ?invention .
  OPTIONAL {
    ?invention fb:type.object.name ?inventionName
  }
}

Got 42 rows and 2 columns, showing the first 5 and last 5 rows below:
| invention              | inventionName  |
| ---------------------- | -------------- |
| Coca-Cola (fb:m.01yvs) | Coca-Cola (ca) |
| Coca-Cola (fb:m.01yvs) | Coca-Cola (cs) |
| Coca-Cola (fb:m.01yvs) | Coca-Cola (da) |
| Coca-Cola (fb:m.01yvs) | Coca-Cola (de) |
| Coca-Cola (fb:m.01yvs) | Coca-Cola (el) |
| ...                    | ...            |
| Coca-Cola (fb:m.01yvs) | โค้ก (th)      |
| Coca-Cola (fb:m.01yvs) | 코카콜라 (ko)      |
| Coca-Cola (fb:m.01yvs) | コカ・コーラ (ja)    |
| Coca-Cola (fb:m.01yvs) | 可口可乐 (zh)      |
| Coca-Cola (fb:m.01yvs) | 可口可樂 (zh-Hant) |

John Pemberton created the drink Coca-Cola.

[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 drink did john pemberton create?

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

[Tool]
Example 1:
Question:
where are brembo brakes from?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07l6ny ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07l6ny fb:organization.organization.place_founded ?x .
}

Using entities:
Brembo (fb:m.07l6ny): Brembo S.p.A. is an Italian manufacturer of automotive brake sys...h-performance cars and motorcycles based in Bergamo, near Milan., has type Business Operation

Using properties:
Place founded (fb:organization.organization.place_founded): part of Organization schema, links to type Location

Example 2:
Question:
what type of currency is used in the united kingdom?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07ssc ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07ssc fb:location.country.currency_used ?x .
}

Using entities:
United Kingdom, also known as United Kingdom of Great Britain and Northern Ireland, United Kingdom of Great Britain and Ireland, United Kingdom of Great Britain, UK, U.K. (fb:m.07ssc): The United Kingdom of Great Britain and Northern Ireland, common...urth-largest in Europe and second-largest in the European Union., has type Country

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

Example 3:
Question:
what colony is john adams from?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03_js ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03_js fb:government.politician.government_positions_held ?y .
  ?y fb:government.government_position_held.district_represented ?x .
  ?x fb:location.location.containedby fb:m.08csr .
}

Using entities:
John Adams, also known as The Colossus of Independence, The Duke of Braintree, Old Sink or Swim, His Rotundity, Bonny Johnny (fb:m.03_js): John Adams was the second president of the United States, after ...d a leading role in persuading Congress to declare independence., has type US President
Thirteen Colonies, also known as 13 colonies (fb:m.08csr): The Thirteen Colonies, as of 1775, were British colonies on the ...p state governments, and formed a new nation, the United States., has type Location

Using properties:
District represented (if position is district-related) (fb:government.government_position_held.district_represented): part of Government Position Held schema, links to type Political District
Government Positions Held (fb:government.politician.government_positions_held): links to type Government Position Held, part of Politician schema
Contained by (fb:location.location.containedby): part of Location schema, links to type Location

[Assistant] I will now search for the entity "John Pemberton" in the freebase knowledge graph to identify the correct entity to use in the query.

[Tool]
Top 10 entity alternatives:
1. John Pemberton (fb:m.0h24w): John Stith Pemberton was an American pharmacist, and is best known for being the inventor of Coca-Cola., has type Inventor
2. John C. Pemberton, also known as John Pemberton (fb:m.02_qg_): John Clifford Pemberton, was a career United States Army officer...render in the critical Siege of Vicksburg in the summer of 1863., has type Military Commander
3. John Pemberton (fb:m.02qgpmy): John Pemberton is an English former professional footballer and ...pent a brief period as interim manager of the club's first team., has type Football player
4. John Pemberton (fb:m.04jj19k): John Pemberton is an associate professor of anthropology at Colu...y at Columbia, Pemberton taught at the University of Washington., has type Academic
5. John Pemberton (fb:m.04n6m7f): John "Jack" Pemberton was an Australian rules footballer who pla...iled to experience a win either as a player or coach in the VFL., has type Australian Rules Footballer
6. John Pemberton (fb:m.05wk10h): has type Author
7. John Pemberton (fb:m.0t_8wsy): John Pemberton is an actor., has type Film actor
8. John Pemberton (fb:m.04r039p)
9. John Pemberton (fb:m.03t75g1)
10. Johnny Pemberton (fb:m.09j61nb): Johnny Pemberton is an actor., has type TV Actor

[Assistant]
The entity "John Pemberton" with the description "John Stith Pemberton was an American pharmacist, and is best known for being the inventor of Coca-Cola." (fb:m.0h24w) seems to be the correct one related to the question about the drink he created.

Next, I will search for properties related to "John Pemberton" that might indicate the drink he created. I will search for properties related to "create" or "invent" for this entity.

[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. Inventions (fb:law.inventor.inventions): links to type Invention, part of Inventor schema
4. Type (fb:type.object.type): part of Object schema, links to type Type
5. Image (fb:common.topic.image): part of Topic schema, links to type Image
6. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
7. Profession (fb:people.person.profession): links to type Profession, part of Person schema
8. Gender (fb:people.person.gender): part of Person schema, links to type Gender
9. Things named after this (fb:symbols.name_source.namesakes): part of Name source schema, links to type Namesake
10. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema

No other items found

[Assistant]
The property "Inventions" (fb:law.inventor.inventions) seems to be the most relevant property for finding the drink John Pemberton created.

I will now construct a SPARQL query to find the inventions of John Pemberton (fb:m.0h24w).

[Tool]
SPARQL execution failed:
Operation timed out. Last operation: Filter ( LANG ( ?inventionName ) = "" || LANGMATCHES ( LANG ( ?inventionName ) , "en" ) )

[Assistant] The query to find the inventions of John Pemberton timed out. I will simplify the query by removing the language filter and try again.

[Tool]
Got 42 rows and 2 columns, showing the first 5 and last 5 rows below:
| invention              | inventionName  |
| ---------------------- | -------------- |
| Coca-Cola (fb:m.01yvs) | Coca-Cola (ca) |
| Coca-Cola (fb:m.01yvs) | Coca-Cola (cs) |
| Coca-Cola (fb:m.01yvs) | Coca-Cola (da) |
| Coca-Cola (fb:m.01yvs) | Coca-Cola (de) |
| Coca-Cola (fb:m.01yvs) | Coca-Cola (el) |
| ...                    | ...            |
| Coca-Cola (fb:m.01yvs) | โค้ก (th)      |
| Coca-Cola (fb:m.01yvs) | 코카콜라 (ko)      |
| Coca-Cola (fb:m.01yvs) | コカ・コーラ (ja)    |
| Coca-Cola (fb:m.01yvs) | 可口可乐 (zh)      |
| Coca-Cola (fb:m.01yvs) | 可口可樂 (zh-Hant) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the inventions of John Pemberton, and the result clearly shows that he created Coca-Cola. The answer provided is accurate and complete. The query also includes optional labels for the invention in multiple languages, which is a nice touch for readability. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?person ?personLabel WHERE {
  fb:m.01t7n9 fb:government.government_office_category.officeholders ?position .
  ?position fb:government.government_position_held.jurisdiction_of_office fb:m.04ly1 .
  ?position fb:government.government_position_held.office_holder ?person .
  OPTIONAL {
    ?person rdfs:label ?personLabel FILTER ( lang( ?personLabel ) = 'en' )
  }
}

Got 2 rows and 2 columns:
| person                         | personLabel          |
| ------------------------------ | -------------------- |
| Michael O'Keefe (fb:m.0w2_nhz) | Michael O'Keefe (en) |
| Henry Braden (fb:m.0wbhjnb)    | Henry Braden (en)    |

The Louisiana state senators include Michael O'Keefe and Henry Braden, 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 is louisiana state senator?

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

[Tool]
Example 1:
Question:
who is the manager of the st louis cardinals?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.06x68 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.06x68 fb:baseball.baseball_team.current_manager ?x .
}

Using entities:
St. Louis Cardinals, also known as Rally Squirrel, Saint Louis Cardinals, Redbirds, Cards (fb:m.06x68): The St. Louis Cardinals are a professional baseball team based i...n outright in 1886 in a storied rivalry that continues on today., Under the Arch that signifies the Gateway to the American West, ...pionships, nine Division Titles and thirty-seven Hall of Famers., has type Professional Sports Team

Using properties:
Current Manager (fb:baseball.baseball_team.current_manager): links to type Baseball Manager, part of Baseball Team schema

Example 2:
Question:
who are the famous athletes in kenya?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.019rg5 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.019rg5 fb:sports.sport_country.athletic_performances ?y .
  ?y fb:sports.competitor_competition_relationship.competitors ?x .
}

Using entities:
Kenya, also known as Republic of Kenya (fb:m.019rg5): Kenya /ˈkɛnjə/, officially the Republic of Kenya, is a country i...hiopia are arid and semi-arid areas with near-desert landscapes., has type Country

Using properties:
Competitors (fb:sports.competitor_competition_relationship.competitors): part of Competitor/competition relationship schema, links to type Tournament event competitor
Athletic performances (fb:sports.sport_country.athletic_performances): links to type Competitor/competition relationship, part of Sport Country schema

Example 3:
Question:
where's the hudson river?

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

Using entities:
Hudson River, also known as Great Mohegan (fb:m.0cvyp): The Hudson River is a 315-mile river that flows from north to so...pper New York Bay, but he considered the river to be an estuary., has type River

Using properties:
Contained by (fb:location.location.containedby): part of Location schema, links to type Location

[Assistant]
From the examples, I see that to find a person with a specific role or position, we need to identify the entity representing Louisiana and the property that links it to its state senators. Then we can query for the persons who hold that position.

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

[Tool]
Top 10 entity alternatives:
1. Louisiana, also known as LA, Sugar State, Sportsman's Paradise, Pelican State (fb:m.04ly1): Louisiana is a state located in the southern region of the Unite...ecies, including many species of orchids and carnivorous plants., has type US State
2. Louisiana, also known as Louisiana (New France) (fb:m.06c97m): Louisiana or French Louisiana was an administrative district of ...art to Spain as compensation for that country's loss of Florida., has type Location
3. Louisiana, also known as Louisiana, Missouri, Pike County / Louisiana city (fb:m.0wz6q): Louisiana is a city in Pike County, Missouri, United States. The... for a former US Speaker of the House from nearby Bowling Green., has type City/Town/Village
4. Louisiana, also known as Louisiana (New Spain) (fb:m.02ptx6c): Louisiana was the name of an administrative district of the Vice...g Louis XIV in 1682. It is sometimes known as Spanish Louisiana., has type Location
5. Louisiana (fb:m.013ck9x): has type Musical Recording
6. Louisiana (fb:m.0smk4_): has type Musical Recording
7. Lyman C. Josephs House, also known as Louisiana, Lyman C. Joseph House, Middletown (fb:m.043qsrr): The Lyman C. Josephs House, also known as Louisiana, is an histo...e was added to the National Register of Historic Places in 1975., has type Building
8. Drums O' Voodoo, also known as Louisiana, She Devill (fb:m.08mmmq): Drums O' Voodoo is a film about voodoo. The film was written by ...ed by Arthur Hoerl, based on the play by Smith of the same name., has type Film
9. Louisiana (fb:m.012ngw_h): Louisiana is a 1919 American silent comedy film directed by Robe.... The film was released on July 20, 1919, by Paramount Pictures.
10. Louisiana (fb:m.0dmrtfk): has type Musical Recording

[Assistant] The entity fb:m.04ly1 corresponds to Louisiana as a US State. Next, I will search for properties related to "state senator" or "senator" for this entity to find the relevant property linking Louisiana to its state senators.

[Tool]
Top 10 property alternatives:
1. Representatives (fb:government.political_district.representatives): links to type Government Position Held, part of Political District schema
2. Government positions (fb:government.governmental_jurisdiction.government_positions): links to type Government Office or Title, part of Governmental Jurisdiction schema
3. Elections (fb:government.political_district.elections): part of Political District schema, links to type Election contest
4. Country (fb:base.locations.states_and_provences.country): part of States and provinces schema, links to type Countries
5. Country (fb:location.administrative_division.country): part of Administrative Division schema, links to type Country
6. Country (fb:base.biblioness.bibs_location.country): part of Bibs Location schema, links to type Location
7. Key (fb:type.object.key): part of Object schema, links to type Key
8. Government bodies (fb:government.governmental_jurisdiction.government_bodies): part of Governmental Jurisdiction schema, links to type Governmental Body
9. Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held
10. Official website (fb:common.topic.official_website): part of Topic schema, links to type URI

No other items found

[Assistant] The property fb:government.governmental_jurisdiction.governing_officials seems relevant as it links to government positions held, which could include state senators. I will now query for the governing officials of Louisiana (fb:m.04ly1) to see if it includes state senators.

[Tool]
Got 67 rows and 2 columns, showing the first 5 and last 5 rows below:
| official      | officialLabel |
| ------------- | ------------- |
| fb:m.010f0pjr |               |
| fb:m.010f0pn6 |               |
| fb:m.010f0v3j |               |
| fb:m.010fr50s |               |
| fb:m.010wzlnk |               |
| ...           | ...           |
| fb:m.0wzkd48  |               |
| fb:m.0wztk13  |               |
| fb:m.0x0wd9d  |               |
| fb:m.0yqgrv3  |               |
| fb:m.0zs3n9b  |               |

[Assistant] The query returned 67 governing officials for Louisiana, but no labels were found for them in the result. To identify if these officials are state senators, I will check the types or roles of some of these officials. I will query the types or any relevant properties of one of these officials, for example, fb:m.010f0pjr.

[Tool]
Got 8 rows and 3 columns:
| subject       | property                                                                                | object                                                            |
| ------------- | -------------------------------------------------------------------------------------------- | ----------------------------------------------------------------- |
| fb:m.010f0pjr | Type (fb:type.object.type)                                                                   | Government Position Held (fb:government.government_position_held) |
| fb:m.010f0pjr | Officeholder (fb:government.government_position_held.office_holder)                          | Scott Angelle (fb:m.0bxzcwc)                                      |
| fb:m.010f0pjr | From (fb:government.government_position_held.from)                                           | 2010-05-17 (xsd:date)                                             |
| fb:m.010f0pjr | Office, position, or title (fb:government.government_position_held.office_position_or_title) | Lieutenant Governor of Louisiana (fb:m.02q0d63)                   |
| fb:m.010f0pjr | Basic title (fb:government.government_position_held.basic_title)                             | Lieutenant Governor (fb:m.0fkzq)                                  |
| fb:m.010f0pjr | Jurisdiction of office (fb:government.government_position_held.jurisdiction_of_office)       | Louisiana (fb:m.04ly1)                                            |
| fb:m.010f0pjr | To (fb:government.government_position_held.to)                                               | 2010-11-22 (xsd:date)                                             |
| fb:m.010f0pjr | rdf:type                                                                                | Government Position Held (fb:government.government_position_held) |

[Assistant] The official fb:m.010f0pjr holds the position of Lieutenant Governor of Louisiana, which is a government position but not a state senator. I will check the types or titles of a few more officials to see if any are state senators. I will check the next official fb:m.010f0pn6.

[Tool]
Got 13 rows and 3 columns, showing the first 10 rows below:
| subject       | property                                                                                | object                                                            |
| ------------- | -------------------------------------------------------------------------------------------- | ----------------------------------------------------------------- |
| fb:m.010f0pn6 | Type (fb:type.object.type)                                                                   | Government Position Held (fb:government.government_position_held) |
| fb:m.010f0pn6 | Is reviewed (fb:freebase.valuenotation.is_reviewed)                                          | Officeholder (fb:m.02xlh86)                                       |
| fb:m.010f0pn6 | Has no value (fb:freebase.valuenotation.has_no_value)                                        | To (fb:m.02xlh9q)                                                 |
| fb:m.010f0pn6 | Officeholder (fb:government.government_position_held.office_holder)                          | Jay Dardenne (fb:m.07_vns)                                        |
| fb:m.010f0pn6 | From (fb:government.government_position_held.from)                                           | 2010-11-22 (xsd:date)                                             |
| fb:m.010f0pn6 | Office, position, or title (fb:government.government_position_held.office_position_or_title) | Lieutenant Governor of Louisiana (fb:m.02q0d63)                   |
| fb:m.010f0pn6 | Basic title (fb:government.government_position_held.basic_title)                             | Lieutenant Governor (fb:m.0fkzq)                                  |
| fb:m.010f0pn6 | Jurisdiction of office (fb:government.government_position_held.jurisdiction_of_office)       | Louisiana (fb:m.04ly1)                                            |
| fb:m.010f0pn6 | rdf:type                                                                                | Government Position Held (fb:government.government_position_held) |
| fb:m.010f0pn6 | Is reviewed (fb:freebase.valuenotation.is_reviewed)                                          | Basic title (fb:m.0h5vz3d)                                        |
| ...           | ...                                                                                | ...                                                               |

[Assistant] The official fb:m.010f0pn6 also holds the position of Lieutenant Governor of Louisiana, not a state senator. Since these officials are government positions held in Louisiana, I will try to find a property related to "state senator" or "senator" more directly in the knowledge graph to refine the search. I will search for the property "state senator" in the knowledge graph.

[Tool]
Top 10 property alternatives:
1. Current senate members (fb:user.robert.us_congress.congressional_caucus.current_senate_members): part of Congressional caucus schema, links to type US Senator
2. Senate ID (fb:government.canadian_mp.senate_id): part of Canadian Member of Parliament schema, links to type Enumeration
3. Senate ID (fb:government.australian_mp.senate_id): part of Australian Member of Parliament schema, links to type Enumeration
4. Date passed Senate (fb:base.lawsandbox.statute.date_passed_senate): links to type Date/Time, part of Statute schema
5. Legislative Positions Held (fb:base.government2.legislator.legislative_positions_held): links to type Legislative Position Held, part of Legislator schema
6. politician (fb:user.coco.voting.election_results.politician): part of election results schema, links to type Politician
7. Politician (fb:government.political_party_tenure.politician): part of Political Party Tenure schema, links to type Politician
8. District Represented (fb:base.government2.elected_government_positions_held.district_represented): part of Elected Government Positions Held schema, links to type Political District
9. Current house representative (fb:user.robert.us_congress.congressional_district.current_house_representative): part of Congressional district schema, links to type US Representative
10. Senate bill (fb:base.lawsandbox.statute.senate_bill): links to type Machine readable string, part of Statute schema

[Assistant] The property fb:base.government2.legislator.legislative_positions_held looks promising as it links to legislative positions held, which could include state senators. I will now search for entities related to "Louisiana state senator" to see if there are specific entities representing state senators of Louisiana.

[Tool]
Top 10 entity alternatives:
1. State Senator, also known as Member of State Senate (fb:m.01t7n9): A state senator is a member of a state's Senate, the upper house...t a higher level than a state representative in the lower house., Member of State Senate is a politician who represents a sub-state administrative division at the regional level Senate., has type Government office category
2. Louisiana State (fb:m.0sj4mbx): has type Musical Recording
3. Louisiana State (fb:m.0nm0p30): has type Musical Recording
4. State Senator (fb:m.0y7p0td): State Senator is a fictional character from the 2012 film So Undercover., has type Film character
5. State Senator (fb:m.0v2_xz7): State Senator  is a fictional character from the 2012 film Little Red Wagon., has type Film character
6. State Senator (fb:m.0bdy2mk)
7. Louisiana State (fb:m.0sjdg15)
8. Louisiana State (fb:m.0nqc657)
9. state senator (fb:m.07r8cvn)
10. State Senator (fb:user.oxlady.default_domain.state_senator)

[Assistant] The entity fb:m.01t7n9 corresponds to the concept of a "State Senator" as a government office category. I will now search for properties of this entity to see if there is a property linking state senators to the state they represent, specifically Louisiana.

[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. Type (fb:type.object.type): part of Object schema, links to type Type
4. Also known as (fb:common.topic.alias): part of Topic schema, links to type Text
5. Offices (fb:government.government_office_category.offices): part of Government office category schema, links to type Government Office or Title
6. Description (fb:common.topic.description): part of Topic schema, links to type Text
7. Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
8. Officeholders (fb:government.government_office_category.officeholders): part of Government office category schema, links to type Government Position Held

No other items found

[Assistant] The property fb:government.government_office_category.officeholders links to government positions held (officeholders) for the category "State Senator." I will use this property to find officeholders who are state senators and then filter those who represent Louisiana. I will query for officeholders of the "State Senator" category and check their jurisdiction or related property to see if they represent Louisiana.

[Tool]
Got 2 rows and 4 columns:
| officeholder | officeholderLabel | jurisdiction           | jurisdictionLabel |
| ------------ | ----------------- | ---------------------- | ----------------- |
| fb:m.0w5dbzj |                   | Louisiana (fb:m.04ly1) | Louisiana (en)    |
| fb:m.0wck8cw |                   | Louisiana (fb:m.04ly1) | Louisiana (en)    |

[Assistant] I found 2 officeholders who are state senators representing Louisiana, but they do not have labels in the result. I will now try to get the names of these officeholders by querying their office holders (persons) linked to these positions. I will check the officeholder fb:m.0w5dbzj for the office holder person.

[Tool]
Got 9 rows and 3 columns:
| subject      | property                                                                                | object                                                            |
| ------------ | -------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------- |
| fb:m.0w5dbzj | Type (fb:type.object.type)                                                                                | Government Position Held (fb:government.government_position_held) |
| fb:m.0w5dbzj | Officeholder (fb:government.government_position_held.office_holder)                                                  | Michael O'Keefe (fb:m.0w2_nhz)                                    |
| fb:m.0w5dbzj | Governmental body (if position is part of one) (fb:government.government_position_held.governmental_body)            | Louisiana State Senate (fb:m.026kt_6)                             |
| fb:m.0w5dbzj | From (fb:government.government_position_held.from)                                                                   | 1960 (xsd:gYear)                                                  |
| fb:m.0w5dbzj | Basic title (fb:government.government_position_held.basic_title)                                                     | State Senator (fb:m.01t7n9)                                       |
| fb:m.0w5dbzj | Jurisdiction of office (fb:government.government_position_held.jurisdiction_of_office)                               | Louisiana (fb:m.04ly1)                                            |
| fb:m.0w5dbzj | District represented (if position is district-related) (fb:government.government_position_held.district_represented) | Orleans Parish (fb:m.02hzcv3)                                     |
| fb:m.0w5dbzj | To (fb:government.government_position_held.to)                                                                       | 1983 (xsd:gYear)                                                  |
| fb:m.0w5dbzj | rdf:type                                                                                | Government Position Held (fb:government.government_position_held) |

[Assistant] The officeholder fb:m.0w5dbzj corresponds to a State Senator position held by Michael O'Keefe. I will now check the other officeholder fb:m.0wck8cw for the office holder person.

[Tool]
Got 11 rows and 3 columns, showing the first 10 rows below:
| subject      | property                                                                                | object                                                            |
| ------------ | -------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------- |
| fb:m.0wck8cw | Type (fb:type.object.type)                                                                                | Government Position Held (fb:government.government_position_held) |
| fb:m.0wck8cw | Has value (fb:freebase.valuenotation.has_value)                                                                      | Legislative sessions (fb:m.03yw9vk)                               |
| fb:m.0wck8cw | Has no value (fb:freebase.valuenotation.has_no_value)                                                                | Appointed By (if Position is Appointed) (fb:m.02xlh96)            |
| fb:m.0wck8cw | Officeholder (fb:government.government_position_held.office_holder)                                                  | Henry Braden (fb:m.0wbhjnb)                                       |
| fb:m.0wck8cw | Governmental body (if position is part of one) (fb:government.government_position_held.governmental_body)            | Louisiana State Senate (fb:m.026kt_6)                             |
| fb:m.0wck8cw | From (fb:government.government_position_held.from)                                                                   | 1978 (xsd:gYear)                                                  |
| fb:m.0wck8cw | Basic title (fb:government.government_position_held.basic_title)                                                     | State Senator (fb:m.01t7n9)                                       |
| fb:m.0wck8cw | Jurisdiction of office (fb:government.government_position_held.jurisdiction_of_office)                               | Louisiana (fb:m.04ly1)                                            |
| fb:m.0wck8cw | District represented (if position is district-related) (fb:government.government_position_held.district_represented) | Louisiana's 3rd congressional district (fb:m.09xxlp)              |
| fb:m.0wck8cw | To (fb:government.government_position_held.to)                                                                       | 1984 (xsd:gYear)                                                  |
| ...          | ...                                                                                | ...                                                               |

[Assistant] The officeholder fb:m.0wck8cw corresponds to a State Senator position held by Henry Braden. Now I will construct a SPARQL query to return the Louisiana state senators and their labels.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves individuals who hold the position of state senator in Louisiana by linking the office category, jurisdiction, and office holders. The answer provides two valid examples of Louisiana state senators, Michael O'Keefe and Henry Braden, which matches the query results. The query also optionally retrieves English labels for readability. The output is correct and complete for the question asked.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?placeOfBirth ?placeOfBirthLabel ?nationality ?nationalityLabel WHERE {
  fb:m.047sxrj fb:people.person.place_of_birth ?placeOfBirth .
  OPTIONAL {
    ?placeOfBirth rdfs:label ?placeOfBirthLabel FILTER ( lang( ?placeOfBirthLabel ) = "en" )
  }
  OPTIONAL {
    fb:m.047sxrj fb:people.person.nationality ?nationality .
    ?nationality rdfs:label ?nationalityLabel
    FILTER ( lang( ?nationalityLabel ) = "en" )
  }
}

Nicki Minaj was born in Saint James, Trinidad and Tobago, and her nationality is United States of America.

[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 is nicki minaj from?

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

[Tool]
Example 1:
Question:
what is the currency in the republic of congo?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01rxw ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01rxw fb:location.country.currency_used ?x .
}

Using entities:
Congo, also known as Congo Brazzaville, Congo-Brazzaville, Republic of Congo (fb:m.01rxw): The Republic of the Congo, also known as Congo Republic, West Co...dent Denis Sassou Nguesso has ruled for 26 of the past 36 years., has type Country

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

Example 2:
Question:
where was leonardo da vinci when he died?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.04lg6 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.04lg6 fb:people.deceased_person.place_of_death ?x .
}

Using entities:
Leonardo da Vinci, also known as Da Vinci, Leonardo di ser Piero da Vinci, Leonardo DaVinci, Leonardo (fb:m.04lg6):     Leonardo di ser Piero da Vinci, April 15, 1452 – May 2, 1519..., their fame approached only by Michelangelo's Creation of Adamn, Leonardo di ser Piero da Vinci, more commonly Leonardo da Vinci,...hat the empirical methods he employed were unusual for his time., has type Visual Artist

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

Example 3:
Question:
where is located university of leeds?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01bzs9 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01bzs9 fb:location.location.containedby ?x .
}

Using entities:
University of Leeds, also known as Leeds University, University of Leeds, main campus (fb:m.01bzs9): The University of Leeds is a redbrick university located in Leed...outside the top ten British universities by financial endowment., has type College/University

Using properties:
Contained by (fb:location.location.containedby): part of Location schema, links to type Location

[Assistant]
From the examples, I see that to find the country a person is from, we need to find the entity for the person and then find a property that links the person to a country. The property might be related to "place of birth" or "nationality."

Step 1: Search for the entity "Nicki Minaj" in the freebase knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Nicki Minaj, also known as Onika Tanya Maraj, Onika Tonya Maraj, Point Dexter, Princess of Pop, Queen of Hip-Hop (fb:m.047sxrj): Onika Tanya Maraj, better known by her stage name Nicki Minaj, i...and also had a supporting role in the 2014 film The Other Woman., has type Celebrity
2. Nicki Minaj (fb:m.0jb0j64): Cycle 17 features the first-ever All-Star cast, with fan favorit...e judges' panel for the first elimination of the All-Star cycle., has type TV Episode
3. Nicki Minaj (fb:m.0g0dbj6): has type TV Episode
4. Nicki Minaj (fb:m.0129t7c6): has type Musical Recording
5. Nicki Minaj (fb:m.0mthrxw): has type TV Episode
6. Nicki Minaj (fb:m.0wrrscc): has type TV Episode
7. Nicki Minaj (fb:m.012b5zby)
8. Nicki Minaj Speaks (fb:m.0np03yq): has type Musical Recording
9. Nicki Minaj cropped (fb:m.0dhcp0w)
10. Nicki Minaj Speaks (fb:m.0npczwq)

[Assistant] The entity for Nicki Minaj is fb:m.047sxrj. Now, I will search for properties of this entity that might indicate the country she is from. I will start by searching for properties related to "birth" or "origin."

[Tool]
Top 10 property alternatives:
1. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
2. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
3. Gender (fb:people.person.gender): part of Person schema, links to type Gender
4. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
5. Name (fb:type.object.name): part of Object schema, links to type Text
6. Parents (fb:people.person.parents): part of Person schema, links to type Person
7. Profession (fb:people.person.profession): links to type Profession, part of Person schema
8. Ethnicity (fb:people.person.ethnicity): links to type Ethnicity, part of Person schema
9. Type (fb:type.object.type): part of Object schema, links to type Type
10. Content (fb:broadcast.artist.content): links to type Broadcast Content, part of Broadcast Artist schema

No other items found

[Assistant]
There are two relevant properties that might indicate the country Nicki Minaj is from: "Place of birth" (fb:people.person.place_of_birth) and "Country of nationality" (fb:people.person.nationality).

Step 2: I will query the values for these two properties for Nicki Minaj (fb:m.047sxrj) to see which one gives the country information.

[Tool]
Got 1 row and 4 columns:
| placeOfBirth                                   | placeOfBirthLabel                     | nationality                            | nationalityLabel              |
| ---------------------------------------------- | ------------------------------------- | -------------------------------------- | ----------------------------- |
| Saint James, Trinidad and Tobago (fb:m.0gplfm) | Saint James, Trinidad and Tobago (en) | United States of America (fb:m.09c7w0) | United States of America (en) |

[Assistant]
Nicki Minaj's place of birth is Saint James, Trinidad and Tobago, and her nationality is United States of America.

The question asks for the country Nicki Minaj is from, which is typically interpreted as the country of origin or nationality. Since she was born in Trinidad and Tobago but has United States nationality, I will provide both pieces of information in the answer.

I will now formulate the final SPARQL query and answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The system correctly identified Nicki Minaj's place of birth as Saint James, Trinidad and Tobago, and her nationality as United States of America. The SPARQL query is well-formed, retrieves the relevant properties, and includes labels for readability. The answer is accurate and complete for the question asked. No further refinement is necessary.