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

The capital of modern day Egypt is Cairo (fb:m.01w2v).

[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 similar examples.

[Tool]
Example 1:
Question:
what is modern egyptian language?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02k54 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02k54 fb:location.country.official_language ?x .
}

Using entities:
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

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

Example 2:
Question:
where do most of the people in egypt live?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02k54 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02k54 fb:location.location.contains ?x .
  ?x fb:topic_server.population_number ?sk0 .
}
ORDER BY DESC ( xsd:float ( ?sk0 ) )
LIMIT 1

Using entities:
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

Using properties:
Contains (fb:location.location.contains): part of Location schema, links to type Location

Example 3:
Question:
what is the political system in egypt?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02k54 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02k54 fb:location.country.form_of_government ?x .
}

Using entities:
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

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

[Assistant]
From the similar examples, I see that "Egypt" is represented by the entity fb:m.02k54 in Freebase. The examples use properties like "official_language" and "form_of_government" for country-level questions.

For the capital, I need to find the property that links a country to its capital city. I will search for properties related to "capital" in Freebase.

[Tool]
Top 10 property alternatives:
1. Capital (fb:location.nl_province.capital): links to type City/Town/Village, part of Dutch province schema
2. Capital (fb:location.de_state.capital): part of German state schema, links to type German city
3. Capital (fb:location.it_region.capital): part of Italian region schema, links to type Italian comune
4. Capital (fb:location.ar_province.capital): part of Argentine province schema, links to type City/Town/Village
5. Capital (fb:location.cn_province.capital): links to type Administrative Division, part of Chinese province schema
6. Capital (fb:location.fr_region.capital): links to type City/Town/Village, part of French Region schema
7. Capital (fb:location.br_state.capital): links to type City/Town/Village, part of Brazilian state schema
8. Capital (fb:base.switzerland.ch_canton.capital): part of Swiss canton schema, links to type Swiss town
9. Capital (fb:location.mx_state.capital): links to type City/Town/Village, part of Mexican state schema
10. capital (fb:location.id_province.Capital): part of Indonesian province schema, links to type City/Town/Village

[Tool]
Top 10 property alternatives:
1. Capital Of: (fb:user.juniorbonner.default_domain.capital_city.capital_of): part of Capital City schema, links to type Country
2. Capital of (fb:location.capital_of_administrative_division.capital_of): links to type Administrative division/capital relationship, part of Capital of administrative division schema
3. Capital (fb:location.province.capital): part of Canadian Province schema, links to type City/Town/Village
4. Capital (fb:location.nl_province.capital): links to type City/Town/Village, part of Dutch province schema
5. Capital (fb:location.de_state.capital): part of German state schema, links to type German city
6. Capital (fb:location.ar_province.capital): part of Argentine province schema, links to type City/Town/Village
7. Capital (fb:location.cn_province.capital): links to type Administrative Division, part of Chinese province schema
8. Capital (fb:location.fr_region.capital): links to type City/Town/Village, part of French Region schema
9. Capital (fb:location.br_state.capital): links to type City/Town/Village, part of Brazilian state schema
10. Capital (fb:base.switzerland.ch_canton.capital): part of Swiss canton schema, links to type Swiss town

[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

[Tool]
Got 1 row and 3 columns:
| subject            | property                              | object             |
| ------------------ | ------------------------------------- | ------------------ |
| Egypt (fb:m.02k54) | Capital (fb:location.country.capital) | Cairo (fb:m.01w2v) |

[Tool]
Got 1,849 rows and 3 columns, showing the first 10 rows below:
| subject            | property                                                            | object                                                                    |
| ------------------ | ------------------------------------------------------------------- | ------------------------------------------------------------------------- |
| Cairo (fb:m.01w2v) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                   |
| Cairo (fb:m.01w2v) | Key (fb:type.object.key)                                            | /authority/daylife/topic/05PG3i7ewMgfR                                    |
| Cairo (fb:m.01w2v) | Name (fb:type.object.name)                                          | Cairo (en)                                                                |
| Cairo (fb:m.01w2v) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%27%44%42%27%47%31%29>                      |
| Cairo (fb:m.01w2v) | Notable for (fb:common.topic.notable_for)                           | fb:g.125b8yt0h                                                            |
| Cairo (fb:m.01w2v) | Notable types (fb:common.topic.notable_types)                       | City/Town/Village (fb:m.01m9)                                             |
| Cairo (fb:m.01w2v) | Description (fb:common.topic.description)                           | Ang Cairo ay isang lungsod at ka...g metropolitanong area sa mundo. (fil) |
| Cairo (fb:m.01w2v) | Article (fb:common.topic.article)                                   | fb:m.01w34                                                                |
| Cairo (fb:m.01w2v) | Also known as (fb:common.topic.alias)                               | Cairo, Arab Republic of Egypt (en)                                        |
| Cairo (fb:m.01w2v) | Contained by (fb:location.location.containedby)                     | Egypt (fb:m.02k54)                                                        |
| ...                | ...                                                                 | ...                                                                       |

[Tool]
Got 43 rows and 3 columns, showing the first 10 rows below:
| subject            | property   | object            |
| ------------------ | ---------- | ----------------- |
| Cairo (fb:m.01w2v) | rdfs:label | Cairo (en)        |
| Cairo (fb:m.01w2v) | rdfs:label | Cairo (fil)       |
| Cairo (fb:m.01w2v) | rdfs:label | Cairo (pt)        |
| Cairo (fb:m.01w2v) | rdfs:label | Cairo (ro)        |
| Cairo (fb:m.01w2v) | rdfs:label | Cairo (vi)        |
| Cairo (fb:m.01w2v) | rdfs:label | Caïro (nl)        |
| Cairo (fb:m.01w2v) | rdfs:label | El Caire (ca)     |
| Cairo (fb:m.01w2v) | rdfs:label | El Cairo (es)     |
| Cairo (fb:m.01w2v) | rdfs:label | El Cairo (es-419) |
| Cairo (fb:m.01w2v) | rdfs:label | Il Cairo (it)     |
| ...                | ...        | ...               |

[Tool] Stopped generation process


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

The coach for the New York Knicks (according to Freebase data) is Derek Fisher (fb:m.04lvwk).

[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 similar examples.

[Tool]
Example 1:
Question:
who is the current coach of the new york knicks?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0jm3v ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0jm3v fb:basketball.basketball_team.head_coach ?x .
}

Using entities:
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

Using properties:
Head Coach (fb:basketball.basketball_team.head_coach): links to type Basketball Coach, part of Basketball Team schema

Example 2:
Question:
who is the current coach of the chicago bulls?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0jm74 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0jm74 fb:basketball.basketball_team.head_coach ?x .
}

Using entities:
Chicago Bulls, also known as Bulls (fb:m.0jm74): The Chicago Bulls are an American professional basketball team b...y $65 million in operating income from the 2014-2015 NBA season., has type Professional Sports Team

Using properties:
Head Coach (fb:basketball.basketball_team.head_coach): links to type Basketball Coach, part of Basketball Team schema

Example 3:
Question:
when did the ny knicks last win a championship?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0jm3v ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0jm3v fb:sports.sports_team.championships ?x .
  ?x fb:time.event.start_date ?sk0 .
}
ORDER BY DESC ( xsd:datetime ( ?sk0 ) )
LIMIT 1

Using entities:
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

Using properties:
Championships (fb:sports.sports_team.championships): links to type Sports League Championship Event, part of Sports Team schema
Start date (fb:time.event.start_date): links to type Date/Time, part of Event schema

[Assistant]
From the similar examples, I can see that:
- The New York Knicks entity is fb:m.0jm3v.
- The property for head coach is fb:basketball.basketball_team.head_coach.

The example query is:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0jm3v )
  FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) )
  fb:m.0jm3v fb:basketball.basketball_team.head_coach ?x .
}

However, this only returns the coach's IRI. To provide a more informative answer, I'll also try to get the coach's label (name) using rdfs:label in an OPTIONAL clause.

Let's build the query accordingly.

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

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?wife WHERE {
  fb:m.03p77 fb:people.person.spouse_s ?marriage .
  ?marriage fb:people.marriage.spouse ?wife .
  ?marriage fb:people.marriage.from ?from .
  FILTER ( ?wife != fb:m.03p77 )
}
ORDER BY ASC ( ?from )
LIMIT 1

Henry VIII's first wife was Catherine of Aragon (fb:m.01_tz).

[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 was the name of henry viii first wife?

[Assistant] Let's start by looking at some similar 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:
which wife did king henry behead?

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.spouse_s ?y .
  ?y fb:people.marriage.spouse ?x .
  ?x fb:people.deceased_person.cause_of_death fb:m.0jb19 .
  ?y fb:people.marriage.type_of_union fb:m.04ztj .
}

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
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
Decapitation (fb:m.0jb19): Decapitation is the separation of the head from the body. There ...fer to the removal of the head from a body that is already dead., has type Cause Of Death

Using properties:
Cause of death (fb:people.deceased_person.cause_of_death): part of Deceased Person schema, links to type Cause Of Death
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

Example 3:
Question:
who was queen elizabeth the first's mother?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02rg_ ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02rg_ fb:people.person.parents ?x .
  ?x fb:people.person.gender fb:m.02zsn .
}

Using entities:
Elizabeth I of England, also known as Good Queen Bess, The Virgin Queen, Queen Elizabeth I of England, Queen Elizabeth I, Gloriana (fb:m.02rg_): Elizabeth I was Queen of England and Ireland from 17 November 15...ish Protestant church, of which she became the Supreme Governor., has type Monarch
Female, also known as Women, Woman, Girl, Gal, Dame (fb:m.02zsn): Female (♀) is the sex of an organism, or a part of an organism, ...esis). Some organisms can reproduce both sexually and asexually., Female is the sex of an organism, or a part of an organism, that...female mammals, including female humans, have two X chromosomes., has type Literature Subject

Using properties:
Gender (fb:people.person.gender): part of Person schema, links to type Gender
Parents (fb:people.person.parents): part of Person schema, links to type Person

[Assistant]
From the similar examples, I see that:
- Henry VIII of England is fb:m.03p77.
- The property for spouses is fb:people.person.spouse_s, which links to a Marriage entity.
- The Marriage entity has a property fb:people.marriage.spouse, which links to the spouse (person).
- To find the first wife, I need to find all spouses and order them by marriage date.

Next, I will check what properties are available on the Marriage entity, especially for marriage date, to help identify the first wife.

[Tool]
Got 6 rows and 3 columns:
| subject                            | property                                                 | object       |
| ---------------------------------- | -------------------------------------------------------- | ------------ |
| Henry VIII of England (fb:m.03p77) | Spouse (or domestic partner) (fb:people.person.spouse_s) | fb:m.03l46gn |
| Henry VIII of England (fb:m.03p77) | Spouse (or domestic partner) (fb:people.person.spouse_s) | fb:m.0j4kx1_ |
| Henry VIII of England (fb:m.03p77) | Spouse (or domestic partner) (fb:people.person.spouse_s) | fb:m.0j4kx27 |
| Henry VIII of England (fb:m.03p77) | Spouse (or domestic partner) (fb:people.person.spouse_s) | fb:m.0j4kx2h |
| Henry VIII of England (fb:m.03p77) | Spouse (or domestic partner) (fb:people.person.spouse_s) | fb:m.0j4kx2r |
| Henry VIII of England (fb:m.03p77) | Spouse (or domestic partner) (fb:people.person.spouse_s) | fb:m.0j4kx3p |

[Tool]
Got 8 rows and 3 columns:
| subject      | property                                                       | object                             |
| ------------ | -------------------------------------------------------------- | ---------------------------------- |
| fb:m.03l46gn | Type (fb:type.object.type)                                     | Marriage (fb:people.marriage)      |
| fb:m.03l46gn | Spouse (fb:people.marriage.spouse)                             | Henry VIII of England (fb:m.03p77) |
| fb:m.03l46gn | Type of union (fb:people.marriage.type_of_union)               | Marriage (fb:m.04ztj)              |
| fb:m.03l46gn | From (fb:people.marriage.from)                                 | 1543-07-12 (xsd:date)              |
| fb:m.03l46gn | To (fb:people.marriage.to)                                     | 1547-01-28 (xsd:date)              |
| fb:m.03l46gn | Location of ceremony (fb:people.marriage.location_of_ceremony) | Hampton Court Palace (fb:m.0dx9r)  |
| fb:m.03l46gn | rdf:type                                                       | Marriage (fb:people.marriage)      |
| fb:m.03l46gn | Spouse (fb:people.marriage.spouse)                             | Catherine Parr (fb:m.0crfb)        |

[Tool]
Got 8 rows and 3 columns:
| subject      | property                                                       | object                             |
| ------------ | -------------------------------------------------------------- | ---------------------------------- |
| fb:m.0j4kx1_ | Type (fb:type.object.type)                                     | Marriage (fb:people.marriage)      |
| fb:m.0j4kx1_ | Spouse (fb:people.marriage.spouse)                             | Henry VIII of England (fb:m.03p77) |
| fb:m.0j4kx1_ | Type of union (fb:people.marriage.type_of_union)               | Marriage (fb:m.04ztj)              |
| fb:m.0j4kx1_ | From (fb:people.marriage.from)                                 | 1533-01-25 (xsd:date)              |
| fb:m.0j4kx1_ | To (fb:people.marriage.to)                                     | 1536-05-17 (xsd:date)              |
| fb:m.0j4kx1_ | Location of ceremony (fb:people.marriage.location_of_ceremony) | Westminster Abbey (fb:m.0bvqq)     |
| fb:m.0j4kx1_ | rdf:type                                                       | Marriage (fb:people.marriage)      |
| fb:m.0j4kx1_ | Spouse (fb:people.marriage.spouse)                             | Anne Boleyn (fb:m.09sxn)           |

[Tool]
Got 8 rows and 3 columns:
| subject      | property                                                       | object                             |
| ------------ | -------------------------------------------------------------- | ---------------------------------- |
| fb:m.0j4kx27 | Type (fb:type.object.type)                                     | Marriage (fb:people.marriage)      |
| fb:m.0j4kx27 | Spouse (fb:people.marriage.spouse)                             | Henry VIII of England (fb:m.03p77) |
| fb:m.0j4kx27 | Type of union (fb:people.marriage.type_of_union)               | Marriage (fb:m.04ztj)              |
| fb:m.0j4kx27 | From (fb:people.marriage.from)                                 | 1536-05-30 (xsd:date)              |
| fb:m.0j4kx27 | To (fb:people.marriage.to)                                     | 1537-10-24 (xsd:date)              |
| fb:m.0j4kx27 | Location of ceremony (fb:people.marriage.location_of_ceremony) | Palace of Whitehall (fb:m.01vw90)  |
| fb:m.0j4kx27 | rdf:type                                                       | Marriage (fb:people.marriage)      |
| fb:m.0j4kx27 | Spouse (fb:people.marriage.spouse)                             | Jane Seymour (fb:m.0ck3c)          |

[Tool]
Got 8 rows and 3 columns:
| subject      | property                                         | object                              |
| ------------ | ------------------------------------------------ | ----------------------------------- |
| fb:m.0j4kx2h | Type (fb:type.object.type)                       | Marriage (fb:people.marriage)       |
| fb:m.0j4kx2h | Has value (fb:freebase.valuenotation.has_value)  | Location of ceremony (fb:m.02xg9mh) |
| fb:m.0j4kx2h | Spouse (fb:people.marriage.spouse)               | Henry VIII of England (fb:m.03p77)  |
| fb:m.0j4kx2h | Type of union (fb:people.marriage.type_of_union) | Marriage (fb:m.04ztj)               |
| fb:m.0j4kx2h | From (fb:people.marriage.from)                   | 1540-01-06 (xsd:date)               |
| fb:m.0j4kx2h | To (fb:people.marriage.to)                       | 1540-07-09 (xsd:date)               |
| fb:m.0j4kx2h | rdf:type                                         | Marriage (fb:people.marriage)       |
| fb:m.0j4kx2h | Spouse (fb:people.marriage.spouse)               | Anne of Cleves (fb:m.0crdc)         |

[Tool]
Got 8 rows and 3 columns:
| subject      | property                                                       | object                             |
| ------------ | -------------------------------------------------------------- | ---------------------------------- |
| fb:m.0j4kx2r | Type (fb:type.object.type)                                     | Marriage (fb:people.marriage)      |
| fb:m.0j4kx2r | Spouse (fb:people.marriage.spouse)                             | Henry VIII of England (fb:m.03p77) |
| fb:m.0j4kx2r | Type of union (fb:people.marriage.type_of_union)               | Marriage (fb:m.04ztj)              |
| fb:m.0j4kx2r | From (fb:people.marriage.from)                                 | 1540-07-28 (xsd:date)              |
| fb:m.0j4kx2r | To (fb:people.marriage.to)                                     | 1541-11-23 (xsd:date)              |
| fb:m.0j4kx2r | Location of ceremony (fb:people.marriage.location_of_ceremony) | Oatlands Palace (fb:m.03m3nrp)     |
| fb:m.0j4kx2r | rdf:type                                                       | Marriage (fb:people.marriage)      |
| fb:m.0j4kx2r | Spouse (fb:people.marriage.spouse)                             | Catherine Howard (fb:m.0crdw)      |

[Tool]
Got 8 rows and 3 columns:
| subject      | property                                                       | object                             |
| ------------ | -------------------------------------------------------------- | ---------------------------------- |
| fb:m.0j4kx3p | Type (fb:type.object.type)                                     | Marriage (fb:people.marriage)      |
| fb:m.0j4kx3p | Spouse (fb:people.marriage.spouse)                             | Henry VIII of England (fb:m.03p77) |
| fb:m.0j4kx3p | Type of union (fb:people.marriage.type_of_union)               | Marriage (fb:m.04ztj)              |
| fb:m.0j4kx3p | From (fb:people.marriage.from)                                 | 1509-06-11 (xsd:date)              |
| fb:m.0j4kx3p | To (fb:people.marriage.to)                                     | 1533-05-23 (xsd:date)              |
| fb:m.0j4kx3p | Location of ceremony (fb:people.marriage.location_of_ceremony) | Palace of Placentia (fb:m.01xzhb)  |
| fb:m.0j4kx3p | rdf:type                                                       | Marriage (fb:people.marriage)      |
| fb:m.0j4kx3p | Spouse (fb:people.marriage.spouse)                             | Catherine of Aragon (fb:m.01_tz)   |

[Tool]
Got 1 row and 3 columns:
| wife                             | wifeLabel          | from                  |
| -------------------------------- | ------------------ | --------------------- |
| Catherine of Aragon (fb:m.01_tz) | קתרין מאראגון (iw) | 1509-06-11 (xsd:date) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
SELECT DISTINCT ?championship ?date ?label WHERE {
  fb:m.0713r fb:sports.sports_team.championships ?championship .
  ?championship fb:time.event.start_date ?date .
  OPTIONAL {
    ?championship rdfs:label ?label
  }
}
ORDER BY DESC ( xsd:dateTime ( ?date ) )
LIMIT 1

This query returns the most recent date the San Francisco Giants won the World Series, along with the championship event's IRI and label if available.

[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] when is the last time the giants won the world series?

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

[Tool]
Example 1:
Question:
when was the last time the san francisco giants won a world series?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0713r ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0713r fb:sports.sports_team.championships ?x .
  ?x fb:time.event.start_date ?sk0 .
}
ORDER BY DESC ( xsd:datetime ( ?sk0 ) )
LIMIT 1

Using entities:
San Francisco Giants, also known as New York Giants (fb:m.0713r): The San Francisco Giants are an American professional baseball f...ed in the World Series 20 times but boycotted the event in 1904., 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
Start date (fb:time.event.start_date): links to type Date/Time, part of Event schema

Example 2:
Question:
what years have the giants won the world series?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0713r ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0713r fb:sports.sports_team.championships ?x .
}

Using entities:
San Francisco Giants, also known as New York Giants (fb:m.0713r): The San Francisco Giants are an American professional baseball f...ed in the World Series 20 times but boycotted the event in 1904., 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 year did giants win world series?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0713r ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0713r fb:sports.sports_team.championships ?x .
}

Using entities:
San Francisco Giants, also known as New York Giants (fb:m.0713r): The San Francisco Giants are an American professional baseball f...ed in the World Series 20 times but boycotted the event in 1904., 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

[Assistant]
The similar examples show that:
- The San Francisco Giants entity is fb:m.0713r.
- Their championships are linked via fb:sports.sports_team.championships.
- The championship event's start date is given by fb:time.event.start_date.
- To get the last time they won, we should order by the start date descending and limit to 1.

I will use this structure, and also return the IRI of the championship event and its start date. I'll put the label in an OPTIONAL clause.

Here is the SPARQL query:

```sparql
SELECT DISTINCT ?championship ?date ?label WHERE {
  fb:m.0713r fb:sports.sports_team.championships ?championship .
  ?championship fb:time.event.start_date ?date .
  OPTIONAL { ?championship rdfs:label ?label }
}
ORDER BY DESC(xsd:dateTime(?date))
LIMIT 1
```

Now, I will provide the answer.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?governor WHERE {
  fb:m.02xry fb:government.governmental_jurisdiction.governing_officials ?position .
  ?position fb:government.government_position_held.office_holder ?governor .
  ?position fb:government.government_position_held.basic_title fb:m.0fkvn .
  FILTER ( ! EXISTS {
    ?position fb:government.government_position_held.to ?toDate
  }
  )
}

Got 1 row and 1 column:
| governor                 |
| ------------------------ |
| Rick Scott (fb:m.0btx2g) |

The state governor of Florida (according to Freebase data) is Rick Scott (fb:m.0btx2g).

[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 state governor of florida?

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

[Tool]
Example 1:
Question:
who is the new governor of florida 2011?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02xry ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02xry fb:government.governmental_jurisdiction.governing_officials ?y .
  ?y fb:government.government_position_held.office_holder ?x .
  ?y fb:government.government_position_held.basic_title fb:m.0fkvn .
  FILTER ( NOT EXISTS {
    ?y fb:government.government_position_held.from ?sk0
  }
  || EXISTS {
    ?y fb:government.government_position_held.from ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) <= "2011-12-31" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:government.government_position_held.to ?sk2
  }
  || EXISTS {
    ?y fb:government.government_position_held.to ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) >= "2011-01-01" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:government.government_position_held.from ?sk4
  }
  || EXISTS {
    ?y fb:government.government_position_held.from ?sk5 .
    FILTER ( xsd:datetime ( ?sk5 ) <= "2011-12-31" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:government.government_position_held.to ?sk6
  }
  || EXISTS {
    ?y fb:government.government_position_held.to ?sk7 .
    FILTER ( xsd:datetime ( ?sk7 ) >= "2011-01-01" ^^ xsd:dateTime )
  }
  ) ?y fb:government.government_position_held.from ?sk8 .
}
ORDER BY DESC ( xsd:datetime ( ?sk8 ) )
LIMIT 1

Using entities:
Florida, also known as Sunshine State, State of Florida, Fla, FL (fb:m.02xry): Florida /ˈflɒrɪdə/ is a state in the southeast United States, bo...anther and manatee can be found in the Everglades National Park., has type US State
Governor (fb:m.0fkvn): A governor is, in most cases, a public official with the power t...ub-national units include Mexico, United States and Switzerland., has type Government office category

Using properties:
Basic title (fb:government.government_position_held.basic_title): links to type Government office category, part of Government Position Held schema
From (fb:government.government_position_held.from): part of Government Position Held schema, links to type Date/Time
Officeholder (fb:government.government_position_held.office_holder): part of Government Position Held schema, links to type Politician
To (fb:government.government_position_held.to): part of Government Position Held schema, links to type Date/Time
Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held

Example 2:
Question:
who is the elected governor of california?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01n7q ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01n7q fb:government.governmental_jurisdiction.governing_officials ?y .
  ?y fb:government.government_position_held.office_holder ?x .
  ?y fb:government.government_position_held.basic_title fb:m.0fkvn .
  FILTER ( NOT EXISTS {
    ?y fb:government.government_position_held.from ?sk0
  }
  || EXISTS {
    ?y fb:government.government_position_held.from ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) <= "2015-08-10" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:government.government_position_held.to ?sk2
  }
  || EXISTS {
    ?y fb:government.government_position_held.to ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) >= "2015-08-10" ^^ xsd:dateTime )
  }
  )
}

Using entities:
California, also known as CA, Calif, California, USA, Golden State (fb:m.01n7q): California is a state located on the West Coast of the United St...rnia, which was admitted as the 31st state on September 9, 1850., has type US State
Governor (fb:m.0fkvn): A governor is, in most cases, a public official with the power t...ub-national units include Mexico, United States and Switzerland., has type Government office category

Using properties:
Basic title (fb:government.government_position_held.basic_title): links to type Government office category, part of Government Position Held schema
From (fb:government.government_position_held.from): part of Government Position Held schema, links to type Date/Time
Officeholder (fb:government.government_position_held.office_holder): part of Government Position Held schema, links to type Politician
To (fb:government.government_position_held.to): part of Government Position Held schema, links to type Date/Time
Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held

Example 3:
Question:
who won the governor election in michigan?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.04rrx ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.04rrx fb:government.governmental_jurisdiction.governing_officials ?y .
  ?y fb:government.government_position_held.office_holder ?x .
  ?y fb:government.government_position_held.basic_title fb:m.0fkvn .
}

Using entities:
Michigan, also known as MI, US-MI, The Wolverine State, The Great Lakes State, Mich (fb:m.04rrx): Michigan /ˈmɪʃɨɡən/ is a state in the Great Lakes region of the ...water source or more than 85 miles from a Great Lakes shoreline., has type US State
Governor (fb:m.0fkvn): A governor is, in most cases, a public official with the power t...ub-national units include Mexico, United States and Switzerland., has type Government office category

Using properties:
Basic title (fb:government.government_position_held.basic_title): links to type Government office category, part of Government Position Held schema
Officeholder (fb:government.government_position_held.office_holder): part of Government Position Held schema, links to type Politician
Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held

[Assistant]
From the similar examples, the following approach is clear:
- Florida's Freebase ID is fb:m.02xry.
- The property for "governing officials" is fb:government.governmental_jurisdiction.governing_officials.
- The property for "office holder" is fb:government.government_position_held.office_holder.
- The property for "basic title" is fb:government.government_position_held.basic_title.
- The Freebase ID for "Governor" is fb:m.0fkvn.

To get the current governor, we should filter for positions where the "to" date is not set or is in the future.

Let's construct a query to get the current governor of Florida, and also try to get their label.

[Tool]
Got 22 rows and 2 columns, showing the first 5 and last 5 rows below:
| governor                 | governorLabel           |
| ------------------------ | ----------------------- |
| Rick Scott (fb:m.0btx2g) | Richard Lynn Scott (pt) |
| Rick Scott (fb:m.0btx2g) | Rick Scott (ca)         |
| Rick Scott (fb:m.0btx2g) | Rick Scott (cs)         |
| Rick Scott (fb:m.0btx2g) | Rick Scott (da)         |
| Rick Scott (fb:m.0btx2g) | Rick Scott (de)         |
| ...                      | ...                     |
| Rick Scott (fb:m.0btx2g) | Рік Скотт (uk)          |
| Rick Scott (fb:m.0btx2g) | ريك سكوت (ar)           |
| Rick Scott (fb:m.0btx2g) | ریک اسکات (fa)          |
| Rick Scott (fb:m.0btx2g) | 瑞克·史考特 (zh-Hant)        |
| Rick Scott (fb:m.0btx2g) | 里克·斯科特 (zh)             |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?sport WHERE {
  fb:m.02d9k fb:sports.pro_athlete.sports_played_professionally ?x .
  ?x fb:sports.pro_sports_played.sport ?sport .
}

David Beckham played Football (Soccer). The IRI for the sport is fb:m.02vx4.

[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 does david beckham play?

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

[Tool]
Example 1:
Question:
who does david beckham play for in 2013?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02d9k ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02d9k 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 ) <= "2013-12-31" ^^ 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 ) >= "2013-01-01" ^^ xsd:dateTime )
  }
  )
}

Using entities:
David Beckham, also known as DB7, Posh 'n' Becks, Golden Balls, Posh and Becks, Posh & Becks (fb:m.02d9k): David Robert Joseph Beckham, OBE is an English former profession...irst British footballer to play 100 UEFA Champions League games., has type Celebrity

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:
who will david beckham play for in 2013?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02d9k ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02d9k 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 ) <= "2013-12-31" ^^ 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 ) >= "2013-01-01" ^^ xsd:dateTime )
  }
  )
}

Using entities:
David Beckham, also known as DB7, Posh 'n' Becks, Golden Balls, Posh and Becks, Posh & Becks (fb:m.02d9k): David Robert Joseph Beckham, OBE is an English former profession...irst British footballer to play 100 UEFA Champions League games., has type Celebrity

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 3:
Question:
who does david beckham play for in 2012?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02d9k ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02d9k 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:
David Beckham, also known as DB7, Posh 'n' Becks, Golden Balls, Posh and Becks, Posh & Becks (fb:m.02d9k): David Robert Joseph Beckham, OBE is an English former profession...irst British footballer to play 100 UEFA Champions League games., has type Celebrity

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

[Assistant]
The similar examples focus on "who does David Beckham play for," which returns the teams he played for. Your question is more general: "what does David Beckham play?" This could refer to the sport(s) he plays, rather than the teams.

Step-by-step plan:
1. Identify David Beckham's Freebase entity (already found: fb:m.02d9k).
2. Find the property that links an athlete to the sport(s) they play.
3. Construct a query to return the sport(s) David Beckham plays.

I'll search for properties related to "sport" for David Beckham.

[Tool]
Top 10 property alternatives:
1. Sports played (fb:sports.pro_athlete.sports_played_professionally): links to type Sports played, part of Athlete schema
2. Teams (fb:sports.pro_athlete.teams): links to type Sports team roster, part of Athlete schema
3. Statistics (fb:soccer.football_player.statistics): links to type Football player stats, part of Football player schema
4. Religion (fb:base.popstra.celebrity.religion): links to type Religion Choice, part of Celebrity schema
5. Religion (fb:people.person.religion): links to type Religion, part of Person schema
6. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
7. World Cup Team (fb:base.x2010fifaworldcupsouthafrica.world_cup_participant.world_cup_team): part of 2010World Cup Athlete schema, links to type World Cup Squad
8. Heat (fb:base.popstra.sww_base.heat): part of sww_base schema, links to type Integer
9. Key (fb:type.object.key): part of Object schema, links to type Key
10. Awards (fb:sports.sports_award_winner.awards): part of Sports League Award Winner schema, links to type Sports League Award

No other items found

[Assistant]
The most relevant property is "Sports played" (fb:sports.pro_athlete.sports_played_professionally), which links an athlete to the sport(s) they have played professionally.

Next, I'll construct a SPARQL query to return the sport(s) that David Beckham has played professionally, including their IRIs and optionally their labels.

[Tool]
Got 1 row and 2 columns:
| sport        | sportLabel |
| ------------ | ---------- |
| fb:m.0d5fbb8 |            |

[Tool]
Got 6 rows and 3 columns:
| subject      | property                                        | object                                      |
| ------------ | ----------------------------------------------- | ------------------------------------------- |
| fb:m.0d5fbb8 | Type (fb:type.object.type)                      | Sports played (fb:sports.pro_sports_played) |
| fb:m.0d5fbb8 | Athlete (fb:sports.pro_sports_played.athlete)   | David Beckham (fb:m.02d9k)                  |
| fb:m.0d5fbb8 | Sport (fb:sports.pro_sports_played.sport)       | Football (fb:m.02vx4)                       |
| fb:m.0d5fbb8 | From (fb:sports.pro_sports_played.career_start) | 1992 (xsd:gYear)                            |
| fb:m.0d5fbb8 | To (fb:sports.pro_sports_played.career_end)     | 2013 (xsd:gYear)                            |
| fb:m.0d5fbb8 | rdf:type                                        | Sports played (fb:sports.pro_sports_played) |

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject               | property                                                            | object                                                                   |
| --------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Football (fb:m.02vx4) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%44%39%28%29_%43%31%29_%27%44%42%2F%45>    |
| Football (fb:m.02vx4) | Notable for (fb:common.topic.notable_for)                           | fb:g.1257w3xkz                                                           |
| Football (fb:m.02vx4) | Notable types (fb:common.topic.notable_types)                       | Interest (fb:m.05cglj1)                                                  |
| Football (fb:m.02vx4) | Description (fb:common.topic.description)                           | A labdarúgás labdajáték, amelyet...tokat, focistákat, mérkőzéseket. (hu) |
| Football (fb:m.02vx4) | Article (fb:common.topic.article)                                   | fb:m.02r3bj3                                                             |
| Football (fb:m.02vx4) | Also known as (fb:common.topic.alias)                               | Association Football (en)                                                |
| Football (fb:m.02vx4) | Image (fb:common.topic.image)                                       | Football match.jpg (fb:m.02914k3)                                        |
| Football (fb:m.02vx4) | Web Link(s) (fb:common.topic.webpage)                               | fb:m.09x5h8v                                                             |
| Football (fb:m.02vx4) | Titles (fb:media_common.netflix_genre.titles)                       | Jerry Maguire (fb:m.011ykb)                                              |
| Football (fb:m.02vx4) | Works Written About This Topic (fb:book.book_subject.works)         | Paper Lion: Confessions of a Last-String Quarterback (fb:m.04w9t1k)      |
| ...                   | ...                                                                 | ...                                                                      |

[Tool]
Got 44 rows and 3 columns, showing the first 10 rows below:
| subject               | property   | object          |
| --------------------- | ---------- | --------------- |
| Football (fb:m.02vx4) | rdfs:label | Bola sepak (ms) |
| Football (fb:m.02vx4) | rdfs:label | Bóng đá (vi)    |
| Football (fb:m.02vx4) | rdfs:label | Calcio (it)     |
| Football (fb:m.02vx4) | rdfs:label | Fodbold (da)    |
| Football (fb:m.02vx4) | rdfs:label | Football (en)   |
| Football (fb:m.02vx4) | rdfs:label | Football (fr)   |
| Football (fb:m.02vx4) | rdfs:label | Fotbal (cs)     |
| Football (fb:m.02vx4) | rdfs:label | Fotbal (ro)     |
| Football (fb:m.02vx4) | rdfs:label | Fotball (no)    |
| Football (fb:m.02vx4) | rdfs:label | Fotboll (sv)    |
| ...                   | ...        | ...             |

[Tool]
Got 1 row and 1 column:
| sport                 |
| --------------------- |
| Football (fb:m.02vx4) |

[Tool]
Got 1 row and 1 column:
| sport                 |
| --------------------- |
| Football (fb:m.02vx4) |

[Tool]
Got 44 rows and 2 columns, showing the first 5 and last 5 rows below:
| sport                 | label           |
| --------------------- | --------------- |
| Football (fb:m.02vx4) | Bola sepak (ms) |
| Football (fb:m.02vx4) | Bóng đá (vi)    |
| Football (fb:m.02vx4) | Calcio (it)     |
| Football (fb:m.02vx4) | Fodbold (da)    |
| Football (fb:m.02vx4) | Football (en)   |
| ...                   | ...             |
| Football (fb:m.02vx4) | ฟุตบอล (th)     |
| Football (fb:m.02vx4) | 축구 (ko)         |
| Football (fb:m.02vx4) | サッカー (ja)       |
| Football (fb:m.02vx4) | 足球 (zh)         |
| Football (fb:m.02vx4) | 足球 (zh-Hant)    |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01vsgrn ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01vsgrn fb:base.schemastaging.context_name.official_name ?x .
}

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 similar examples.

[Tool]
Example 1:
Question:
what is lil wayne real name?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.016kjs ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.016kjs fb:base.schemastaging.context_name.official_name ?x .
}

Using entities:
Lil Wayne, also known as Dwayne Carter, Dwayne Michael Carter Jr., Dwayne Michael Carter, Jr., Lil' Wayne, Lil' Weezy (fb:m.016kjs): Dwayne Michael Carter, Jr., known by his stage name Lil Wayne, i...ce on Destiny's Child's Top 10 single "Soldier", that same year., has type Music video performer

Using properties:
Official name (fb:base.schemastaging.context_name.official_name): part of Context name schema, links to type Text

Example 2:
Question:
what is kareem abdul jabbar real name?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.049sb ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.049sb fb:base.schemastaging.context_name.official_name ?x .
}

Using entities:
Kareem Abdul-Jabbar, also known as Lew, The Big 'A', Lewis Ferdinand Alcindor, Lewis Alcindor, Lew Alcindor (fb:m.049sb): Kareem Abdul-Jabbar is an American retired professional basketba...the first overall pick, Alcindor spent six seasons in Milwaukee., has type Music video performer

Using properties:
Official name (fb:base.schemastaging.context_name.official_name): part of Context name schema, links to type Text

Example 3:
Question:
what was tupac name in juice?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07pzc ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07pzc fb:film.actor.film ?y .
  ?y fb:film.performance.character ?x .
  ?y fb:film.performance.film fb:m.08w51z .
}

Using entities:
Tupac Shakur, also known as Lesane Parish Crooks, TuPac, Makaveli, Pac, Tupac Amaru Shakur (fb:m.07pzc): Tupac Amaru Shakur, also known by his stage names 2Pac and Makav...e Black Panther Party, whose ideals were reflected in his songs., has type Celebrity
Juice, also known as Angel Town 2, Watch Juice, Juice - City-War (fb:m.08w51z): Juice is a 1992 American crime drama thriller directed by Ernest... on location in New York City mainly in the Harlem area in 1991., Cinematographer Ernest R. Dickerson directed and co-wrote this c...e has to go along with the robbery, which goes completely wrong., has type Film

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

[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

[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

[Tool]
Got 1 row and 1 column:
| x                               |
| ------------------------------- |
| Marshall Bruce Mathers III (en) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?language ?label WHERE {
  VALUES ?language {
    fb:m.02bjrlw fb:m.02w_hsv fb:m.03d9kg fb:m.06nm1 fb:m.0880p
  }
  OPTIONAL {
    ?language rdfs:label ?label
  }
  FILTER ( lang( ?label ) = 'en' )
}

Got 5 rows and 2 columns:
| language                         | label                   |
| -------------------------------- | ----------------------- |
| Italian Language (fb:m.02bjrlw)  | Italian Language (en)   |
| Guaraní language (fb:m.02w_hsv)  | Guaraní language (en)   |
| Quechuan languages (fb:m.03d9kg) | Quechuan languages (en) |
| Spanish Language (fb:m.06nm1)    | Spanish Language (en)   |
| Yiddish Language (fb:m.0880p)    | Yiddish Language (en)   |

The languages spoken in Argentina are Spanish, Italian, Guaraní, Quechuan languages, and Yiddish. The official language is Spanish.

[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 similar examples.

[Tool]
Example 1:
Question:
what is language in argentina?

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

Using entities:
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

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

Example 2:
Question:
what is language in argentina?

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

Using entities:
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

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

Example 3:
Question:
what language do argentina use?

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

Using entities:
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

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

[Assistant]
The similar examples show that the entity for Argentina is fb:m.0jgd, and the relevant properties are fb:location.country.official_language (official language) and fb:location.country.languages_spoken (languages spoken).

To answer "what language do speak in argentina?", I should query for both the official language and the languages spoken in Argentina.

I will write a SPARQL query that retrieves both the official language(s) and the languages spoken in Argentina, returning their IRIs and optionally their labels.

[Tool]
Got 180 rows and 2 columns, showing the first 5 and last 5 rows below:
| language                        | label                    |
| ------------------------------- | ------------------------ |
| Italian Language (fb:m.02bjrlw) | Bahasa Itali (ms)        |
| Italian Language (fb:m.02bjrlw) | Bahasa Italia (id)       |
| Italian Language (fb:m.02bjrlw) | Idioma italiano (es)     |
| Italian Language (fb:m.02bjrlw) | Idioma Italiano (es-419) |
| Italian Language (fb:m.02bjrlw) | Itaalia keel (et)        |
| ...                             | ...                      |
| Yiddish Language (fb:m.0880p)   | ภาษายิดดิช (th)          |
| Yiddish Language (fb:m.0880p)   | 이디시어 (ko)                |
| Yiddish Language (fb:m.0880p)   | イディッシュ語 (ja)             |
| Yiddish Language (fb:m.0880p)   | 意第緒語 (zh-Hant)           |
| Yiddish Language (fb:m.0880p)   | 意第绪语 (zh)                |

[Tool]
Got 5 rows and 1 column:
| language                         |
| -------------------------------- |
| Italian Language (fb:m.02bjrlw)  |
| Guaraní language (fb:m.02w_hsv)  |
| Quechuan languages (fb:m.03d9kg) |
| Spanish Language (fb:m.06nm1)    |
| Yiddish Language (fb:m.0880p)    |

[Tool]
Got 5 rows and 2 columns:
| language                         | label                   |
| -------------------------------- | ----------------------- |
| Italian Language (fb:m.02bjrlw)  | Italian Language (en)   |
| Guaraní language (fb:m.02w_hsv)  | Guaraní language (en)   |
| Quechuan languages (fb:m.03d9kg) | Quechuan languages (en) |
| Spanish Language (fb:m.06nm1)    | Spanish Language (en)   |
| Yiddish Language (fb:m.0880p)    | Yiddish Language (en)   |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0qskp ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0qskp fb:location.citytown.postal_codes ?x .
}

The zip codes for Jonesboro, AR 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 similar examples.

[Tool]
Example 1:
Question:
what is the zip code for clarksville tn?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0_w5_ ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0_w5_ fb:location.citytown.postal_codes ?x .
}

Using entities:
Clarksville, also known as Clarksville, Tennessee, Montgomery County / Clarksville city (fb:m.0_w5_): Clarksville is a city in and the county seat of Montgomery Count...s the base U.S. Post Office is on the Kentucky side of the post., has type City/Town/Village

Using properties:
Postal codes (fb:location.citytown.postal_codes): part of City/Town/Village schema, links to type Postal Code

Example 2:
Question:
what is the zip code for minneapolis?

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

Using entities:
Minneapolis, also known as Hennepin County / Minneapolis city, Minneapolis, Minnesota (fb:m.0fpzwf): Minneapolis is the county seat of Hennepin County, and larger of...the global economy, Minneapolis is categorized as a global city., has type City/Town/Village

Using properties:
Postal codes (fb:location.citytown.postal_codes): part of City/Town/Village schema, links to type Postal Code

Example 3:
Question:
what is zip code for davenport iowa?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02d6c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02d6c fb:location.citytown.postal_codes ?x .
}

Using entities:
Davenport, also known as Davenport, Iowa, Scott County / Davenport city (fb:m.02d6c): Davenport is the largest city located along the Mississippi Rive... frequent flooding due to its location on the Mississippi River., has type City/Town/Village

Using properties:
Postal codes (fb:location.citytown.postal_codes): part of City/Town/Village schema, links to type Postal Code

[Assistant]
From the similar examples, I see that the approach is to:
1. Find the Freebase entity for the city (in this case, Jonesboro, AR).
2. Use the property fb:location.citytown.postal_codes to get the zip code(s).

Next, I will search for the Freebase entity for "Jonesboro, AR".

[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

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

[Tool] Stopped generation process