PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?institution ?institutionLabel WHERE {
  fb:m.019fz fb:people.person.education ?education .
  ?education fb:education.education.institution ?institution .
  OPTIONAL {
    ?institution rdfs:label ?institutionLabel .
    FILTER ( lang( ?institutionLabel ) = 'en' )
  }
}

Got 1 row and 2 columns:
| institution                       | institutionLabel         |
| --------------------------------- | ------------------------ |
| Boston Latin School (fb:m.02kj7g) | Boston Latin School (en) |

Benjamin Franklin was educated at the Boston Latin School.

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

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

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

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

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

[User] where was benjamin franklin educated?

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

[Tool]
Example 1:
Question:
what teams are in the american league west?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07fbnf ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07fbnf fb:sports.sports_league.teams ?y .
  ?y fb:sports.sports_league_participation.team ?x .
}

Using entities:
American League West (fb:m.07fbnf): The American League West is one of three divisions in Major Leag...ivisions an equal five teams and both leagues an equal 15 teams., has type Baseball Division

Using properties:
Teams (fb:sports.sports_league.teams): links to type Sports league participation, part of Sports Association schema
Team (fb:sports.sports_league_participation.team): part of Sports league participation schema, links to type Sports Team

Example 2:
Question:
what main language do they speak in brazil?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.015fr ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.015fr fb:location.country.official_language ?x .
}

Using entities:
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

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

Example 3:
Question:
who did the voice of kitt in knight rider?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0bvxv ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0bvxv fb:tv.tv_program.regular_cast ?y .
  ?y fb:tv.regular_tv_appearance.actor ?x .
  ?y fb:tv.regular_tv_appearance.character fb:m.05_bhx .
  ?y fb:tv.regular_tv_appearance.special_performance_type fb:m.02nsjvf .
}

Using entities:
Voice (fb:m.02nsjvf): A voice performance (on film, television, etc.) is one in which ... when an actor's voice is dubbed in over another actor's speech., has type Special film performance type
KITT, also known as K.I.T.T., KITT, Knight Industries Two Thousand (fb:m.05_bhx): KITT is the short name of two fictional characters from the adve...rans Am, and the second KITT as a 2008/2009 Ford Shelby GT500KR., K.I.T.T. is a fictional character from the TV series Knight Rider., has type Film character
Knight Rider (fb:m.0bvxv): Knight Rider is an American television series created and produc...sed at Universal Television before he moved to 20th Century Fox., has type Award-Winning Work

Using properties:
Actor (fb:tv.regular_tv_appearance.actor): part of TV Regular Performance schema, links to type TV Actor
Character (fb:tv.regular_tv_appearance.character): part of TV Regular Performance schema, links to type TV Character
Special performance type (fb:tv.regular_tv_appearance.special_performance_type): links to type Special TV performance type, part of TV Regular Performance schema
Regular acting performances (fb:tv.tv_program.regular_cast): links to type TV Regular Performance, part of TV Program schema

[Assistant]
From the examples, I see that the approach is to first find the entity for the person and then find the property related to education or where they were educated.

Step 1: Search for the entity "Benjamin Franklin" in the freebase knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Benjamin Franklin, also known as Ben Franklin (fb:m.019fz): Benjamin Franklin was one of the Founding Fathers of the United ...s, with the scientific and tolerant values of the Enlightenment., Benjamin Franklin (1706  1790) was an inventor, publisher. scien...ng library in America and first fire department in Pennsylvania., has type U.S. Congressperson
2. The Autobiography of Benjamin Franklin, also known as Benjamin Franklin (fb:m.0638kh): The Autobiography of Benjamin Franklin is the traditional name f...s narrative continues into Part Four without an authorial break., has type Book
3. Benjamin Franklin, also known as Life of Benjamin Franklin (fb:m.03wfsm7): Benjamin Franklin is a 1974 American television miniseries that ...st by CBS and won the Emmy Award for Outstanding Limited Series., has type Award-Winning Work
4. Benjamin Franklin (fb:m.0f9_vd): Benjamin Franklin is a 2002 American documentary television seri... producers Catherine Allan and Jerry Richman accepted the award., has type Film
5. Benjamin Franklin (fb:m.064yfl2): Benjamin Franklin is an edition of a book by                Edmund Morgan., has type Book Edition
6. Benjamin Franklin, also known as Dr. Benjamin Franklin (fb:m.042wq0n): The fictional representation of the author, printer, political t...rist, civic activist, statesman, and diplomat Benjamin Franklin., Benjamin Franklin is a fictional character from the 1954 film Royal Affairs in Versailles., Benjamin Franklin is a fictional character from the 1978 film The Bastard., has type Film character
7. Benjamin Franklin (fb:m.05whv3v): has type Author
8. Benjamin Franklin (fb:m.0fcbx0): Benjamin Franklin was an important conservative figure in the Am...ever belonged to any church until he united with the Disciples.", has type Deceased Person
9. Benjamin Franklin (fb:m.04jck5q): Sir Benjamin Franklin KCIE was a British surgeon. After being ed...ome in 1907 and Paris in 1911–12. He was appointed KCIE in 1908., has type Deceased Person
10. Benjamin Franklin (fb:m.04w74ct): Benjamin Franklin is a book by                Edmund Morgan., has type Book

[Assistant]
The most relevant entity for Benjamin Franklin is fb:m.019fz, which corresponds to Benjamin Franklin, the Founding Father and inventor.

Step 2: Search for properties related to education or where Benjamin Franklin was educated for the entity fb:m.019fz.

[Tool]
Top 10 property alternatives:
1. Education (fb:people.person.education): links to type Education, part of Person schema
2. Disciplines (fb:base.kwebbase.kwtopic.disciplines): part of KWTopic schema, links to type Text
3. Article (fb:common.topic.article): links to type Document, part of Topic schema
4. Official website (fb:common.topic.official_website): part of Topic schema, links to type URI
5. Assessment (fb:base.kwebbase.kwtopic.assessment): part of KWTopic schema, links to type Text
6. Religion (fb:people.person.religion): links to type Religion, part of Person schema
7. Profession (fb:people.person.profession): links to type Profession, part of Person schema
8. Connections to (fb:base.kwebbase.kwtopic.connections_to): links to type KWConnection, part of KWTopic schema
9. Parents (fb:people.person.parents): part of Person schema, links to type Person
10. Description (fb:common.topic.description): part of Topic schema, links to type Text

No other items found

[Assistant]
The property fb:people.person.education seems to be the relevant property for education.

Step 3: Construct a SPARQL query to find the education of Benjamin Franklin (fb:m.019fz) using the property fb:people.person.education.

[Tool]
Got 1 row and 2 columns:
| education    | educationLabel |
| ------------ | -------------- |
| fb:m.040vjzw |                |

[Assistant] Benjamin Franklin was educated at the entity fb:m.040vjzw. The label for this entity is not available in the result. I will now query the label for this entity to provide a more human-readable answer.

[Tool] Got no rows and 1 columns

[Assistant] The entity fb:m.040vjzw does not have an English label in the knowledge graph. I will try to find more information about this entity by listing some of its properties and their values.

[Tool]
Got 14 rows and 3 columns, showing the first 10 rows below:
| subject      | property                                              | object                              |
| ------------ | ----------------------------------------------------- | ----------------------------------- |
| fb:m.040vjzw | Type (fb:type.object.type)                            | Education (fb:education.education)  |
| fb:m.040vjzw | Is reviewed (fb:freebase.valuenotation.is_reviewed)   | Student (fb:m.028xmhx)              |
| fb:m.040vjzw | Has no value (fb:freebase.valuenotation.has_no_value) | Major/Field Of Study (fb:m.028xml4) |
| fb:m.040vjzw | Institution (fb:education.education.institution)      | Boston Latin School (fb:m.02kj7g)   |
| fb:m.040vjzw | Student (fb:education.education.student)              | Benjamin Franklin (fb:m.019fz)      |
| fb:m.040vjzw | End Date (fb:education.education.end_date)            | 1716 (xsd:gYear)                    |
| fb:m.040vjzw | Start Date (fb:education.education.start_date)        | 1714 (xsd:gYear)                    |
| fb:m.040vjzw | rdf:type                                              | Education (fb:education.education)  |
| fb:m.040vjzw | Is reviewed (fb:freebase.valuenotation.is_reviewed)   | Institution (fb:m.04qs)             |
| fb:m.040vjzw | Is reviewed (fb:freebase.valuenotation.is_reviewed)   | Start Date (fb:m.028xmgn)           |
| ...          | ...                                                   | ...                                 |

[Assistant]
The entity fb:m.040vjzw is of type Education and is linked to the institution "Boston Latin School" (fb:m.02kj7g). This indicates that Benjamin Franklin was educated at the Boston Latin School.

I will now provide the final answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the educational institution associated with Benjamin Franklin, returning both the identifier and the English label. The answer 'Benjamin Franklin was educated at the Boston Latin School' is accurate and supported by the query result. The query uses appropriate properties and entities, and the optional label retrieval is properly filtered for English. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?county ?countyLabel WHERE {
  fb:m.0d9z_y fb:location.hud_county_place.county ?county .
  OPTIONAL {
    ?county rdfs:label ?countyLabel .
    FILTER ( LANG( ?countyLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| county                     | countyLabel        |
| -------------------------- | ------------------ |
| Miller County (fb:m.0p2xk) | Miller County (en) |

Texarkana, Arkansas is in Miller County.

[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 county is texarkana arkansas in?

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

[Tool]
Example 1:
Question:
who was audrey hepburn's husbands?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0dqcm ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0dqcm fb:people.person.spouse_s ?y .
  ?y fb:people.marriage.spouse ?x .
  ?y fb:people.marriage.type_of_union fb:m.04ztj .
  ?x fb:people.person.gender fb:m.05zppz .
}

Using entities:
Marriage, also known as Matrimony, Wedlock (fb:m.04ztj): Marriage, also called matrimony or wedlock, is a socially or rit...of concerns for women's rights and because of international law., has type Religious Practice
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
Audrey Hepburn, also known as Audrey Kathleen Hepburn-Ruston, Audrey Kathleen Ruston, Edda van Heemstra, Edda van Heemstra Hepburn-Ruston (fb:m.0dqcm): Audrey Hepburn was a British actress and humanitarian. Recognise... including English, French, Dutch, Italian, Spanish, and German., has type Celebrity

Using properties:
Spouse (fb:people.marriage.spouse): part of Marriage schema, links to type Person
Type of union (fb:people.marriage.type_of_union): links to type Marriage/union type, part of Marriage schema
Gender (fb:people.person.gender): part of Person schema, links to type Gender
Spouse (or domestic partner) (fb:people.person.spouse_s): links to type Marriage, part of Person schema

Example 2:
Question:
what division did the baltimore colts play in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03wnh ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03wnh fb:american_football.football_team.division ?x .
}

Using entities:
Indianapolis Colts (fb:m.03wnh): The Indianapolis Colts are an American football team based in In...t in Indianapolis, equaling their length of tenure in Baltimore., has type American football team

Using properties:
Division (fb:american_football.football_team.division): links to type American football division, part of American football team schema

Example 3:
Question:
where does the name melbourne come from?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0chgzm ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0chgzm fb:symbols.namesake.named_after ?x .
}

Using entities:
Melbourne, also known as Melbourne, Victoria, Melbourne, Australia (fb:m.0chgzm): Melbourne is the capital and most populous city in the Australia...ame the capital of the newly founded colony of Victoria in 1851., Melbourne, (pronounced /'mel.bən/) is the state capital of Victo...l capital of Australia, featuring unique arts, sports and music., has type City/Town/Village

Using properties:
Named after (fb:symbols.namesake.named_after): links to type Name source, part of Namesake schema

[Assistant] I will first search for the entity "Texarkana Arkansas" to get its identifier in the knowledge graph. Then I will look for the property that relates a city or town to its county.

[Tool]
Top 10 entity alternatives:
1. Texarkana, Arkansas, also known as Miller County / Texarkana city, Texarkana, Texarkana, Arkansas (fb:m.0d9z_y): Texarkana is the largest city and the county seat of Miller Coun...ation of the two Texarkana cities was 66,330 at the 2010 census., has type City/Town/Village
2. Texarkana Arkansas School District (fb:m.027zcr2): The Texarkana Arkansas School District is a U.S. school district...include North Heights Jr. High and Arkansas High School in 2006., has type School district
3. Texarkana, Arkansas, Municipal Building (fb:m.0125kw_b): The Municipal Building of Texarkana, Arkansas, is located at Wal... was listed on the National Register of Historic Places in 2004.
4. Location of Texarkana, Arkansas (fb:m.0294c0h)
5. Arkansas, also known as Natural State, AR, Ark (fb:m.0vbk): Arkansas is a state located in the Southern region of the United... The largest city in the eastern part of the state is Jonesboro., has type US State
6. Texarkana, also known as Bowie County / Texarkana city, Texarkana, Texas (fb:m.0_yjd): Texarkana is a city in Bowie County, Texas, United States, locat...us, and the metropolitan area had a total population of 136,027., has type City/Town/Village
7. Quapaw Language, also known as Arkansas, Ogaxpa, Capa, Alkansea (fb:m.02hxns7): Quapaw, or Arkansas, is a Siouan language of the Quapaw people, ... to the other Dhegihan languages: Kansa, Omaha, Osage and Ponca., has type Human Language
8. Texarkana (fb:m.0lhsty): has type Musical Recording
9. Arkansas, also known as Arkansas, West Virginia (fb:m.09ql42): Arkansas is an unincorporated community in Hardy County, West Vi...on Arkansaw Road County Route 3/2 off of West Virginia Route 29., has type City/Town/Village
10. Arkansas (fb:m.0mg823): has type Musical Recording

[Assistant] The entity "Texarkana, Arkansas" is identified as fb:m.0d9z_y. It is described as the largest city and the county seat of Miller County, Arkansas. Now I will search for properties of this entity that might indicate the county it is in. I will search for properties related to "county" for this entity.

[Tool]
Top 10 property alternatives:
1. County (fb:location.hud_county_place.county): part of HUD County Place schema, links to type US County
2. County Place ID (fb:location.hud_county_place.countyplace_id): part of HUD County Place schema, links to type Enumeration
3. Postal codes (fb:location.citytown.postal_codes): part of City/Town/Village schema, links to type Postal Code
4. Key (fb:type.object.key): part of Object schema, links to type Key
5. Place (fb:location.hud_county_place.place): part of HUD County Place schema, links to type Location
6. Area (fb:location.location.area): links to type Floating Point Number, part of Location schema
7. Population (fb:location.statistical_region.population): part of Statistical region schema, links to type Dated Integer
8. Official website (fb:common.topic.official_website): part of Topic schema, links to type URI
9. Image (fb:common.topic.image): part of Topic schema, links to type Image
10. Description (fb:common.topic.description): part of Topic schema, links to type Text

No other items found

[Assistant] The property "County" (fb:location.hud_county_place.county) seems to be the relevant property that links a place to its county. I will now construct a SPARQL query to get the county of Texarkana, Arkansas using this property.

[Tool]
Got 1 row and 2 columns:
| county                     | countyLabel        |
| -------------------------- | ------------------ |
| Miller County (fb:m.0p2xk) | Miller County (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the county of Texarkana, Arkansas, returning both the identifier and the English label. The answer 'Miller County' is accurate and matches the query result. The query uses the appropriate property for county and includes an optional label retrieval with language filtering. No further refinement is needed.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?spouseName WHERE {
  fb:m.05np4c fb:people.person.spouse_s ?marriage .
  ?marriage fb:people.marriage.spouse ?spouse .
  FILTER ( ?spouse != fb:m.05np4c ) ?spouse rdfs:label ?spouseName
}
LIMIT 10

Got 3 rows and 1 column:
| spouseName           |
| -------------------- |
| Chris Ivery (en)     |
| Chris Ivery (es-419) |
| Chris Ivery (fi)     |

Ellen Pompeo, the actress who plays Meredith Grey, is married to Chris Ivery in real life.

[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 meredith gray married to in real life?

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

[Tool]
Example 1:
Question:
what team does derek fisher play for 2012?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.04lvwk ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.04lvwk fb:sports.pro_athlete.teams ?y .
  ?y fb:sports.sports_team_roster.team ?x .
  FILTER ( NOT EXISTS {
    ?y fb:sports.sports_team_roster.from ?sk0
  }
  || EXISTS {
    ?y fb:sports.sports_team_roster.from ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) <= "2012-12-31" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:sports.sports_team_roster.to ?sk2
  }
  || EXISTS {
    ?y fb:sports.sports_team_roster.to ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) >= "2012-01-01" ^^ xsd:dateTime )
  }
  )
}

Using entities:
Derek Fisher, also known as Fish, D-Fish, Derek Lamar Fisher (fb:m.04lvwk): Derek Lamar Fisher is an American basketball coach and former pl... where he bought out his contract and was waived at his request., has type Basketball Player

Using properties:
Teams (fb:sports.pro_athlete.teams): links to type Sports team roster, part of Athlete schema
From (fb:sports.sports_team_roster.from): part of Sports team roster schema, links to type Date/Time
Team (fb:sports.sports_team_roster.team): part of Sports team roster schema, links to type Sports Team
To (fb:sports.sports_team_roster.to): part of Sports team roster schema, links to type Date/Time

Example 2:
Question:
where did johann sebastian bach live?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03_f0 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03_f0 fb:people.person.places_lived ?y .
  ?y fb:people.place_lived.location ?x .
}

Using entities:
Johann Sebastian Bach, also known as Johann Sebastian Bach, Johann Bach, Johann Sebastion Bach, Johann Sebastuan Bach, Johann Sebstian Bach (fb:m.03_f0): Johann Sebastian Bach was a German composer and musician of the ...e, Bach attended St. Michael's School in Lüneburg for two years., has type Composer

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

Example 3:
Question:
what to see near austin?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0vzm ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0vzm fb:travel.travel_destination.tourist_attractions ?x .
}

Using entities:
Austin, also known as Austin, Texas, Austin, TX, Williamson County / Austin city (fb:m.0vzm): Austin is the capital of the US state of Texas and the seat of T...blic's new capital and was incorporated under the name Waterloo., has type City/Town/Village

Using properties:
Tourist attractions (fb:travel.travel_destination.tourist_attractions): part of Travel destination schema, links to type Tourist attraction

[Assistant]
The examples show how to query for relationships such as teams a player played for, places a person lived, or tourist attractions in a location. For the question "Who is Meredith Grey married to in real life?", we need to:

1. Identify the entity for Meredith Grey in the knowledge graph.
2. Find a property related to "spouse" or "married to" for that entity.
3. Query the spouse or partner of Meredith Grey.

I will start by searching for the entity Meredith Grey.

[Tool]
Top 10 entity alternatives:
1. Meredith Grey (fb:m.0268x2f): Meredith Grey, M.D. is a fictional character from the medical dr...l awards, winning many of them, for her performance on the show., has type TV Character
2. ''Grey's Anatomy'': Likable Meredith returns (fb:m.08vnw5z)
3. ''Grey's Anatomy'' recap: Meredith returns (fb:m.08w5htx)
4. ''Grey's Anatomy'': Meredith's stable relationship (fb:m.08wbcx2)
5. ''Grey's Anatomy'': Meredith's near-death experience (fb:m.08w5s5j)
6. ''Grey's Anatomy'': Meredith meets her family (fb:m.08vxqpt)
7. Grey, also known as gray (fb:m.036k5h): Grey or gray is an intermediate color between black and white. I...nly one percent of respondents chose it as their favorite color., has type Color
8. Gray, also known as Grey (fb:m.04pkcr): Gray or grey is a coat color of horses characterized by progress...rk eyes. This is how to discern a gray horse from a white horse., has type Color
9. Meredith, also known as Meredith, New Hampshire (fb:m.01m8wq): Meredith is a town in Belknap County, New Hampshire, USA. The po...hire Route 25 at the head of Meredith Bay on Lake Winnipesaukee., has type City/Town/Village
10. Grey (fb:m.01sw9dd): has type Musical Artist

[Assistant] The entity Meredith Grey (fb:m.0268x2f) corresponds to the fictional character from the medical drama TV show. However, the question asks about Meredith Grey's real-life spouse, so we need to find the real person who portrays Meredith Grey. I will search for the actress who plays Meredith Grey.

[Tool]
Top 10 entity alternatives:
1. Ellen Pompeo, also known as Ellen Kathleen Pompeo, Stracciatella, The Pencil (fb:m.05np4c): Ellen Kathleen Pompeo is an American actress. She rose to fame f..., she has appeared in Moonlight Mile, Old School, and Daredevil., has type Celebrity
2. Ellen Pompeo, also known as Ellen Pompeo, Kenny Chesney (fb:m.0dkm30w): What could possibly be better than an incredibly talented kid? T...gway's Whiskey" and will drop by to perform and chat with Ellen., has type TV Episode
3. Ellen Pompeo (fb:m.0jgxw5d): Round table comics include Dan Maurio, Natasha Leggero and Matt Braunger. Tonight's guest is Ellen Pompeo., has type TV Episode
4. Ellen Pompeo (fb:m.0j942lh): Actress Ellen Pompeo (``Grey's Anatomy'')., has type TV Episode
5. Ellen Pompeo (fb:m.0j9460h): Ellen Pompeo on Grey's Anatomy celebrates Mardi Gras with Ellen. Mike Tyson talks about his newest show Taking on Tyson., has type TV Episode
6. Ellen Pompeo (fb:m.08w4kxh)
7. Jewel, Ellen Pompeo; (fb:m.07n5m2f): has type TV Episode
8. Ellen Pompeo Pictures (fb:m.0cpxf9t)
9. Ellen Pompeo/Graig Ferguson (fb:m.05dnvpw): Ellen celebrates Cinco de Mayo, and you're invited to the party....is best selling book, "<i>Between the Bridge and the River</i>.", Ellen celebrates Cinco de Mayo, and you're invited to the party....about his best selling book, "Between the Bridge and the River.", has type TV Episode
10. Ellen Pompeo/Michael Eisner (fb:m.07n5gmv): MICHAEL EISNER stops by to share some stories with Regis and Kel...Plus a performance from the Broadway percussion show DRUMSTRUCK., has type TV Episode

[Assistant] The actress who plays Meredith Grey is Ellen Pompeo (fb:m.05np4c). Now, I will search for properties related to marriage or spouse for Ellen Pompeo.

[Tool]
Top 10 property alternatives:
1. Spouse (or domestic partner) (fb:people.person.spouse_s): links to type Marriage, part of Person schema
2. Profession (fb:people.person.profession): links to type Profession, part of Person schema
3. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
4. Gender (fb:people.person.gender): part of Person schema, links to type Gender
5. Name (fb:type.object.name): part of Object schema, links to type Text
6. Wears (fb:base.popstra.celebrity.wears): links to type Fashion Choice, part of Celebrity schema
7. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
8. Key (fb:type.object.key): part of Object schema, links to type Key
9. Friendship (fb:base.popstra.celebrity.friendship): links to type Friendship, part of Celebrity schema
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 "Spouse (or domestic partner)" (fb:people.person.spouse_s) is the relevant property to find who Ellen Pompeo is married to. I will now query for the spouse of Ellen Pompeo using this property.

[Tool]
Got 1 row and 2 columns:
| spouse       | spouseName |
| ------------ | ---------- |
| fb:m.0ddrs14 |            |

[Tool]
Got 8 rows and 3 columns:
| subject      | property                                                       | object                        |
| ------------ | -------------------------------------------------------------- | ----------------------------- |
| fb:m.0ddrs14 | Type (fb:type.object.type)                                     | Marriage (fb:people.marriage) |
| fb:m.0ddrs14 | Has no value (fb:freebase.valuenotation.has_no_value)          | To (fb:m.01z0kt_)             |
| fb:m.0ddrs14 | Spouse (fb:people.marriage.spouse)                             | Ellen Pompeo (fb:m.05np4c)    |
| fb:m.0ddrs14 | Type of union (fb:people.marriage.type_of_union)               | Marriage (fb:m.04ztj)         |
| fb:m.0ddrs14 | From (fb:people.marriage.from)                                 | 2007-11-09 (xsd:date)         |
| fb:m.0ddrs14 | Location of ceremony (fb:people.marriage.location_of_ceremony) | New York City (fb:m.02_286)   |
| fb:m.0ddrs14 | rdf:type                                                       | Marriage (fb:people.marriage) |
| fb:m.0ddrs14 | Spouse (fb:people.marriage.spouse)                             | Chris Ivery (fb:m.09k5l7w)    |

[Tool]
Got 3 rows and 1 column:
| spouseName           |
| -------------------- |
| Chris Ivery (en)     |
| Chris Ivery (es-419) |
| Chris Ivery (fi)     |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the spouse of Ellen Pompeo (the actress who plays Meredith Grey) by querying the spouse relationship in the Freebase knowledge graph. The query returns the name Chris Ivery, which matches the human-readable answer provided. The query also correctly filters out Ellen Pompeo herself to avoid self-references. The presence of multiple language labels for the same spouse is expected and acceptable. Overall, the answer is correct and complete for the user's question.


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

Got 1 row and 2 columns:
| language                    | languageLabel       |
| --------------------------- | ------------------- |
| Latin Language (fb:m.04h9h) | Latin Language (en) |

The ancient Romans spoke Latin, which was the official language of the Roman Empire.

[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 did the ancient romans speak?

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

[Tool]
Example 1:
Question:
what religion is king henry viii?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03p77 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03p77 fb:people.person.religion ?x .
}

Using entities:
Henry VIII of England, also known as Henry Tudor, Henry VIII, King Henry VIII of England (fb:m.03p77): Henry VIII was King of England from 21 April 1509 until his deat...or Charles V, his contemporaries with whom he frequently warred., has type Monarch

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

Example 2:
Question:
when did braves win the world series?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0x2p ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0x2p fb:sports.sports_team.championships ?x .
}

Using entities:
Atlanta Braves, also known as The Team of the 90s, The Bravos, The Braves, Boston Rustlers, Boston Red Caps (fb:m.0x2p): The Atlanta Braves are a Major League Baseball team in Atlanta, ...World Series five times in the 1990s, winning the title in 1995., has type Professional Sports Team

Using properties:
Championships (fb:sports.sports_team.championships): links to type Sports League Championship Event, part of Sports Team schema

Example 3:
Question:
what was jesse james wife name?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02khkd ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02khkd fb:people.person.spouse_s ?y .
  ?y fb:people.marriage.spouse ?x .
  ?y fb:people.marriage.type_of_union fb:m.04ztj .
}

Using entities:
Jesse James, also known as Jesse Woodson James, Jesse James 1847 (fb:m.02khkd): Jesse Woodson James was an American outlaw, gang leader, bank ro...nd his gang shared their loot from the robberies they committed., has type Organization founder
Marriage, also known as Matrimony, Wedlock (fb:m.04ztj): Marriage, also called matrimony or wedlock, is a socially or rit...of concerns for women's rights and because of international law., has type Religious Practice

Using properties:
Spouse (fb:people.marriage.spouse): part of Marriage schema, links to type Person
Type of union (fb:people.marriage.type_of_union): links to type Marriage/union type, part of Marriage schema
Spouse (or domestic partner) (fb:people.person.spouse_s): links to type Marriage, part of Person schema

[Assistant] The examples do not directly relate to languages spoken by ancient peoples. I will now search for the entity "Ancient Romans" to find the correct entity in the knowledge graph. Then I will search for properties related to language or spoken language for that entity.

[Tool]
Top 10 entity alternatives:
1. Ancient Romans (fb:m.0npjqgj): has type Consumer product
2. Ancient Romans (fb:m.0np5qbc): has type Musical Album
3. Ancient Romans (fb:m.04wd5hq): has type Book
4. The ancient Romans (fb:m.04wbfjf): has type Book
5. Law Ancient Romans (fb:m.066xck_): has type Book
6. The ancient Romans (fb:m.06gfd22): has type Book
7. The ancient Romans (fb:m.069qtdk): has type Book
8. The ancient Romans (fb:m.06947xc): has type Book
9. The ancient Romans (fb:m.06jfjnn): has type Book
10. Ancient Romans Jigsaw Book (fb:m.06swl5f): has type Book

[Assistant] The search for "Ancient Romans" returned mostly books and other unrelated entities, not the historical people or civilization. I will try searching for "Romans" or "Roman Empire" to find the correct entity representing the ancient Roman civilization or people. Then I will look for language-related properties.

[Tool]
Top 10 entity alternatives:
1. ROMANS, also known as Romans (fb:m.01s7019): Romans was a short-lived female Japanese pop unit formed in 2003...003, ranking N°10 on Oricon charts, and disbanded the same year., has type Musical Group
2. Romans (fb:m.0nb1pv0): Romans is a 2013 Malayalam comedy suspense thriller film directe... was a commercial success at the box-office as well as overseas., has type Award-Winning Work
3. Romans, also known as Romans (fb:m.0fw26wf): has type Musical Artist
4. Romans, also known as Tony Robinson's Romans (fb:m.06zq8nr): Romans is a documentary created by Tony Robinson about the Roman...y him in a better light. The last episode portrays emperor Nero., has type TV Program
5. Romans (fb:m.0rnpkl): has type Musical Recording
6. Romans (fb:m.086zk_y): has type Book Edition
7. Romans (fb:m.095vjsg): has type Book Edition
8. Romans (fb:m.0g2flgw): has type Musical Release
9. The Romans, also known as Romans, Romans, The (fb:g.121gzy8_): has type Musical Group
10. Романс (fb:m.033qnwz): has type Musical Release

[Assistant] The search for "Romans" did not return an entity representing the ancient Roman civilization or people either. I will try searching for "Roman Empire" to find the relevant entity.

[Tool]
Top 10 entity alternatives:
1. Byzantine Empire, also known as Byzantium, Eastern Roman Empire, Roman Empire, Romania (fb:m.017cw): The Byzantine Empire, or Eastern Roman Empire, was the predomina...e Roman Empire's administration into eastern and western halves., has type Country
2. Roman Empire, also known as IMPERIVM ROMANVM (fb:m.06cmp): The Roman Empire was the post-Republican period of the ancient R...an's victory, the size of the Empire was dramatically increased., has type Country
3. Roman Empire (fb:m.0dt2100): has type Musical Recording
4. Roman Empire (fb:m.0skq11c): has type Musical Recording
5. Roman empire (fb:m.04slq5_)
6. Roman Empire (fb:m.0llt9zt): Chivo gets violent with Roman, has type TV Episode
7. Roman Empire (fb:m.011lwgmy): Ancient texts help explain the Roman Empire's advanced technologies., has type TV Episode
8. Roman Empire (fb:m.069p45j): has type Book
9. Roman empire (fb:m.0291ym9)
10. Roman Empire (fb:m.07b1hhs)

[Assistant] I found an entity for the Roman Empire (fb:m.06cmp) which is the post-Republican period of the ancient Roman civilization. Now I will search for properties related to language or spoken language for this entity.

[Tool]
Top 10 property alternatives:
1. Languages (fb:fictional_universe.fictional_setting.languages): links to type Language in fiction, part of Fictional Setting schema
2. Official Language (fb:location.country.official_language): links to type Human Language, part of Country schema
3. Type (fb:type.object.type): part of Object schema, links to type Type
4. Pronunciation (fb:base.schemastaging.context_name.pronunciation): links to type Pronunciation, part of Context name schema
5. Titles (fb:royalty.system_of_nobility.titles): links to type System-Title relationship, part of System of nobility 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. Subject of (fb:common.topic.subject_of): part of Topic schema, links to type Topic
9. Contains (fb:location.location.contains): part of Location schema, links to type Location
10. Description (fb:common.topic.description): part of Topic schema, links to type Text

No other items found

[Assistant] The property "Official Language" (fb:location.country.official_language) seems relevant to the language spoken in the Roman Empire. I will now query the official language(s) of the Roman Empire (fb:m.06cmp).

[Tool]
Got 1 row and 2 columns:
| language                    | languageLabel       |
| --------------------------- | ------------------- |
| Latin Language (fb:m.04h9h) | Latin Language (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies Latin as the official language of the Roman Empire, which answers the user's question about what the ancient Romans spoke. The query retrieves the language entity and its English label, providing a clear and accurate answer. The use of the property 'official_language' for the Roman Empire entity is appropriate. The answer is complete and well supported by the query results.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?capital ?capitalLabel WHERE {
  fb:m.02k54 fb:location.country.capital ?capital .
  OPTIONAL {
    ?capital rdfs:label ?capitalLabel FILTER ( lang( ?capitalLabel ) = 'en' )
  }
}

Got 1 row and 2 columns:
| capital            | capitalLabel |
| ------------------ | ------------ |
| Cairo (fb:m.01w2v) | Cairo (en)   |

The capital of modern day Egypt is Cairo.

[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 capital of modern day egypt?

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

[Tool]
Example 1:
Question:
where is puerto galera?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01pn1_ ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01pn1_ fb:location.location.containedby ?x .
}

Using entities:
Puerto Galera, Oriental Mindoro (fb:m.01pn1_): Puerto Galera is the northwesternmost municipality in the provin...of the Isla Verde Passage, about 130 kilometers south of Manila., has type City/Town/Village

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

Example 2:
Question:
what teams did manny ramirez play for?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.06tjlc ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.06tjlc fb:sports.pro_athlete.teams ?y .
  ?y fb:sports.sports_team_roster.team ?x .
}

Using entities:
Manny Ramirez, also known as Manuel Aristides Ramírez Onelcida, Manuel Ramirez, Manuel Arístides "Manny" Ramírez Onelcida, Manny Ramírez, Manny Ramirez (fb:m.06tjlc): Manuel Arístides "Manny" Ramírez Onelcida is a Dominican-America.... He was drafted by the Cleveland Indians in the 1991 MLB Draft., has type Baseball Player

Using properties:
Teams (fb:sports.pro_athlete.teams): links to type Sports team roster, part of Athlete schema
Team (fb:sports.sports_team_roster.team): part of Sports team roster schema, links to type Sports Team

Example 3:
Question:
what is the current government system in france?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0f8l9c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0f8l9c fb:location.country.form_of_government ?x .
}

Using entities:
France, also known as French Republic, République française, l'Hexagone (fb:m.0f8l9c): France, officially the French Republic, is a sovereign state com...g and paving the way for a future centralized absolute monarchy., has type Country

Using properties:
Form of Government (fb:location.country.form_of_government): links to type Form of Government, part of Country schema

[Assistant] From the examples, I see that the capital of a country can be found by querying the property related to the capital city of the country entity. First, I need to find the entity for modern day Egypt in the knowledge graph. Then, I will look for the property that links Egypt to its capital city. I will start by searching for the entity "Egypt".

[Tool]
Top 10 entity alternatives:
1. Egypt, also known as Arab Republic of Egypt (fb:m.02k54): Egypt, officially the Arab Republic of Egypt, is a transcontinen...ater Cairo, Alexandria and other major cities in the Nile Delta., has type Country
2. Egypt (fb:m.02hf3z): The Roman province of Egypt was established in 30 BC after Octav...an economy. Aegyptus was by far the most wealthy Roman province., has type Location
3. Egypt, also known as Egypt, Arkansas, Craighead County / Egypt town (fb:m.0qskb): Egypt is a town in Craighead County, Arkansas, United States. Th...cluded in the Jonesboro, Arkansas Metropolitan Statistical Area., has type City/Town/Village
4. Government of Egypt, also known as Egypt (fb:m.05z01q3): has type Government
5. Egypt (fb:m.08msz0): Egypt is a BBC television drama serial about various archaeologi... Timeless Histories by Chappell music, produced by Clare Isaacs., has type TV Program
6. Egypt, also known as Egypt, Pennsylvania (fb:m.047ln88): Egypt is an unincorporated community in Whitehall Township, Lehi...e Point. The population of Egypt is 2,391 as of the 2010 census., has type City/Town/Village
7. Egypt, also known as Egypten: 1156 f.Kr. Faraos Hemlighet, Egypte 1156 voor Christus: Het raadsel van de koninklijke tombe, Egypte 1156 av. J.-C.: L'énigme de la tombe royale, Egypt 1156 BC: Tomb of the Pharaoh, Egypt 1156 aC: L'Enigma della Tomba Reale (fb:m.04y6gbb): Egypt: 1156 B.C.: Tomb of the Pharaoh is a 1999 adventure video ...t 2: The Heliopolis Prophecy and Egypt 3: The Egyptian Prophecy., has type Video game
8. Egypt (fb:m.031k7lm): has type Consumer product
9. Egypt (fb:m.01mqqv2): There is/has been more than one band called Egypt over the years... days, making many people believe they were two different bands., has type Musical Group
10. Egypt (fb:m.0frlcr7): has type Musical Group

[Assistant] The entity for modern day Egypt is fb:m.02k54 (Arab Republic of Egypt). Now I will search for properties related to the capital of this entity. I will search for properties of Egypt related to "capital".

[Tool]
Top 10 property alternatives:
1. Capital (fb:location.country.capital): links to type City/Town/Village, part of Country schema
2. Flag (fb:symbols.flag_referent.flag): part of Flag referent schema, links to type Flag use
3. Key (fb:type.object.key): part of Object schema, links to type Key
4. Market capitalization of listed companies (% of GDP) (fb:location.statistical_region.market_cap_of_listed_companies_as_percent_of_gdp): part of Statistical region schema, links to type Dated Percentage
5. entry (fb:user.tsegaran.random.taxonomy_subject.entry): part of Taxonomy Subject schema, links to type Taxonomy Entry
6. Government (fb:government.governmental_jurisdiction.government): part of Governmental Jurisdiction schema, links to type Government
7. Contained by (fb:location.location.containedby): part of Location schema, links to type Location
8. Area (fb:location.location.area): links to type Floating Point Number, part of Location schema
9. Type (fb:base.biblioness.bibs_location.loc_type): part of Bibs Location schema, links to type Text
10. Type (fb:type.object.type): part of Object schema, links to type Type

No other items found

[Assistant] The property for capital of a country is fb:location.country.capital. Now I will write a SPARQL query to get the capital of Egypt (fb:m.02k54) using this property.

[Tool]
Got 1 row and 2 columns:
| capital            | capitalLabel |
| ------------------ | ------------ |
| Cairo (fb:m.01w2v) | Cairo (en)   |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the capital of modern day Egypt by using the property fb:location.country.capital on the entity representing Egypt (fb:m.02k54). It returns the capital's identifier and its English label, which is Cairo. The answer provided is accurate and complete. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?coach ?coachName WHERE {
  fb:m.0jm3v fb:basketball.basketball_team.head_coach ?coach .
  OPTIONAL {
    ?coach rdfs:label ?coachName FILTER ( lang( ?coachName ) = 'en' )
  }
}
LIMIT 10

The coach for the New York Knicks is Derek Fisher.

[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 the coach for the new york knicks?

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

[Tool]
Example 1:
Question:
what market does starbucks operate in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.018c_r ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.018c_r fb:dining.restaurant.cuisine ?x .
}

Using entities:
Starbucks (fb:m.018c_r): Starbucks Corporation, doing business as Starbucks Coffee, is an...fee bean roaster and retailer, the company has expanded rapidly., has type Business Operation

Using properties:
Cuisine (fb:dining.restaurant.cuisine): part of Restaurant schema, links to type Cuisine

Example 2:
Question:
what a city in montana?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.050l8 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.050l8 fb:location.location.contains ?x .
  ?x fb:common.topic.notable_types fb:m.01m9 .
}

Using entities:
City/Town/Village, also known as City, Village, Hamlet, Town (fb:m.01m9): City/town/village refers to all named inhabited places at the mo...rmation, please see the Freebase wiki page on City/Town/Village.
Montana, also known as Treasure State, MT, Mont (fb:m.050l8): Montana /mɒnˈtænə/ is a state in the Western United States. The ...rn Battlefield National Monument, and Yellowstone National Park., has type US State

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Contains (fb:location.location.contains): part of Location schema, links to type Location

Example 3:
Question:
what currency do the ukraine use?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07t21 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07t21 fb:location.country.currency_used ?x .
}

Using entities:
Ukraine, also known as Ukraine Region (fb:m.07t21): Ukraine is a country in Eastern Europe, bordered by Russia to th...d and the Russian Empire, and later submerged fully into Russia., Ukraine (English pronunciation /juːˈkreɪn/; Ukrainian: Україна, ...ilitaryPoliticsPresidentPrime MinisterCabinet of MinistersSports, has type Country

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

[Assistant]
From the examples, I see that the approach is to first identify the entity (New York Knicks) and then find the relevant property (coach) related to that entity.

Step 1: Search for the entity "New York Knicks" in the Freebase knowledge graph.

[Tool]
Top 10 entity alternatives:
1. New York Knicks, also known as Knicks (fb:m.0jm3v): The New York Knickerbockers, commonly referred to as the Knicks,...ly guided the Knicks to two NBA championships, in 1970 and 1973., has type Professional Sports Team
2. New York Knicks seasons (fb:m.08sq7dp)
3. 1959–60 New York Knicks season (fb:m.0j_6yqw): The 1959–60 NBA season was the Knicks' 14th season in the NBA.
4. 1960–61 New York Knicks season (fb:m.0j_6sdm): The 1960-61 NBA season was the Knicks' 15th season in the NBA.
5. 1962–63 New York Knicks season (fb:m.0j_4f4g): The 1962-63 NBA season was the Knicks' 17th season in the NBA.
6. 1963–64 New York Knicks season (fb:m.0jzsgwd): The 1963-64 NBA season was the Knicks' 18th season in the NBA.
7. 1961–62 New York Knicks season (fb:m.0j_5tmd): The 1961-62 NBA season was the Knicks' 16th season in the NBA.
8. 1987–88 New York Knicks season (fb:m.0b6dtzz): The 1987–88 New York Knicks season was the 42nd season for the t... New York lost a best-of-five series to the Boston Celtics, 3–1.
9. 1980–81 New York Knicks season (fb:m.0bh95r5): The 1980–81 New York Knicks season was the 35th season for the t...t-of-three first round to the Chicago Bulls in a two-game sweep.
10. 1974–75 New York Knicks season (fb:m.09gq4z9): The 1974–75 New York Knicks season was the 29th season for the t... the fourth-seeded Rockets in the opening round of the playoffs.

[Assistant] The entity "New York Knicks" is identified as fb:m.0jm3v. Next, I will search for properties related to "coach" for this entity.

[Tool]
Top 10 property alternatives:
1. Coaches (fb:sports.sports_team.coaches): links to type Sports team coach tenure, part of Sports Team schema
2. Head Coach (fb:basketball.basketball_team.head_coach): links to type Basketball Coach, part of Basketball Team schema
3. Previous coaches (fb:basketball.basketball_team.previous_coaches): links to type Basketball Historical Coach Position, part of Basketball Team schema
4. Sport (fb:sports.sports_team.sport): part of Sports Team schema, links to type Sport
5. Leadership (fb:organization.organization.leadership): links to type Organization leadership, part of Organization schema
6. Sports Team Location (fb:sports.sports_team.location): links to type Sports Team Location, part of Sports Team schema
7. Roster (fb:sports.sports_team.roster): links to type Sports team roster, part of Sports Team schema
8. Managers (fb:base.schemastaging.sports_team_extra.managers): links to type Sports team manager tenure, part of Sports team extra schema
9. Championships (fb:sports.sports_team.championships): links to type Sports League Championship Event, part of Sports Team schema
10. Name (fb:type.object.name): part of Object schema, links to type Text

No other items found

[Assistant]
There are two relevant properties for the coach of the New York Knicks:
- Coaches (fb:sports.sports_team.coaches)
- Head Coach (fb:basketball.basketball_team.head_coach)

I will first try to query the head coach using the property fb:basketball.basketball_team.head_coach.

[Tool]
Got 1 row and 2 columns:
| coach                      | coachName         |
| -------------------------- | ----------------- |
| Derek Fisher (fb:m.04lvwk) | Derek Fisher (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the head coach of the New York Knicks using the property fb:basketball.basketball_team.head_coach and returns the coach's identifier along with the English label. The answer 'Derek Fisher' matches the query result and is accurate. The query is well-formed, includes an optional label retrieval, and limits the result appropriately. No further refinement is necessary.