PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?sibling ?siblingLabel ?endDate WHERE {
  fb:m.0d3k14 fb:people.person.sibling_s ?siblingRel .
  ?siblingRel fb:people.sibling_relationship.sibling ?sibling .
  ?sibling fb:government.politician.government_positions_held ?position .
  ?position fb:government.government_position_held.to ?endDate .
  FILTER ( ?endDate > "1968-06-06" ^^ xsd:date ) .
  OPTIONAL {
    ?sibling rdfs:label ?siblingLabel .
    FILTER ( lang( ?siblingLabel ) = "en" )
  }
}

The politician and brother of JFK who ended his government post after 1968-06-06 is Ted Kennedy.

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

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

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

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

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

[User] Which politician and brother of JFK ended his government post after 1968-06-06?

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

[Tool]
Example 1:
Question:
Which of the Kennedy children ended his government position after 06-06-1968?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01qlg1 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01qlg1 fb:people.person.children ?x .
  ?x fb:government.politician.government_positions_held ?c .
  ?c fb:government.government_position_held.to ?num .
  FILTER ( ?num > "1968-06-06" ^^ xsd:dateTime ) .
}

Using entities:
Joseph P. Kennedy, Sr., also known as Joseph Patrick "Joe" Kennedy, Sr., Joseph P. Kennedy, Joseph Patrick Kennedy, Sr., Joseph Patrick Kennedy, Joseph Kennedy, Sr. (fb:m.01qlg1): Joseph Patrick "Joe" Kennedy, Sr. was an American businessman, i...ith Franklin D. Roosevelt, then Assistant Secretary of the Navy., has type Politician

Using properties:
To (fb:government.government_position_held.to): part of Government Position Held schema, links to type Date/Time
Government Positions Held (fb:government.politician.government_positions_held): links to type Government Position Held, part of Politician schema
Children (fb:people.person.children): part of Person schema, links to type Person

Example 2:
Question:
Of the children of the Kennedy family, which politician ended his/her government position the earliest?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01qlg1 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01qlg1 fb:people.person.children ?x .
  ?x fb:government.politician.government_positions_held ?c .
  ?c fb:government.government_position_held.to ?num .
}
ORDER BY ?num
LIMIT 1

Using entities:
Joseph P. Kennedy, Sr., also known as Joseph Patrick "Joe" Kennedy, Sr., Joseph P. Kennedy, Joseph Patrick Kennedy, Sr., Joseph Patrick Kennedy, Joseph Kennedy, Sr. (fb:m.01qlg1): Joseph Patrick "Joe" Kennedy, Sr. was an American businessman, i...ith Franklin D. Roosevelt, then Assistant Secretary of the Navy., has type Politician

Using properties:
To (fb:government.government_position_held.to): part of Government Position Held schema, links to type Date/Time
Government Positions Held (fb:government.politician.government_positions_held): links to type Government Position Held, part of Politician schema
Children (fb:people.person.children): part of Person schema, links to type Person

Example 3:
Question:
Who was John F Kennedy 's father, and who's the politician that ended his/her government position before 2009-08-25?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0d3k14 ) {
    fb:m.0d3k14 fb:people.person.parents ?x .
  } UNION {
    fb:m.0d3k14 fb:people.person.children ?x .
  } UNION {
    fb:m.0d3k14 fb:people.person.sibling_s ?y .
    ?y fb:people.sibling_relationship.sibling ?x .
  } UNION {
    fb:m.0d3k14 fb:people.person.spouse_s ?y .
    ?y fb:people.marriage.spouse ?x .
    ?y fb:people.marriage.type_of_union fb:m.04ztj .
    FILTER ( NOT EXISTS {
      ?y fb:people.marriage.to []
    }
    )
  }
  ?x fb:government.politician.government_positions_held ?c .
  ?c fb:government.government_position_held.to ?num .
  FILTER ( ?num < "2009-08-25" ^^ xsd:dateTime ) .
}

Using entities:
Marriage, also known as Matrimony, Wedlock (fb:m.04ztj): Marriage, also called matrimony or wedlock, is a socially or rit...of concerns for women's rights and because of international law., has type Religious Practice
John F. Kennedy, also known as President John F. Kennedy  , John F. (John Fitzgerald) Kennedy, John Kennedy, Johnny, President John F Kennedy (fb:m.0d3k14): John Fitzgerald Kennedy (May 29, 1917 – November 22, 1963), also...ican hopes and aspirations to every new generation of Americans., John Fitzgerald Kennedy, commonly known as Jack Kennedy or by hi...the first person born in the 20th century to serve as president., has type US President

Using properties:
To (fb:government.government_position_held.to): part of Government Position Held schema, links to type Date/Time
Government Positions Held (fb:government.politician.government_positions_held): links to type Government Position Held, part of Politician schema
Spouse (fb:people.marriage.spouse): part of Marriage schema, links to type Person
To (fb:people.marriage.to): links to type Date/Time, part of Marriage schema
Type of union (fb:people.marriage.type_of_union): links to type Marriage/union type, part of Marriage schema
Children (fb:people.person.children): part of Person schema, links to type Person
Parents (fb:people.person.parents): part of Person schema, links to type Person
Siblings (fb:people.person.sibling_s): links to type Sibling Relationship, part of Person schema
Spouse (or domestic partner) (fb:people.person.spouse_s): links to type Marriage, part of Person schema
Sibling (fb:people.sibling_relationship.sibling): part of Sibling Relationship schema, links to type Person

[Assistant]
From the examples, I see that John F. Kennedy is represented as fb:m.0d3k14 in Freebase. The property for siblings is fb:people.person.sibling_s and the property for government positions held is fb:government.politician.government_positions_held. The end date of a government position is represented by fb:government.government_position_held.to.

I will now construct a query to find the siblings of JFK who are politicians and ended their government post after 1968-06-06.

[Tool] Got no rows and 3 columns

[Assistant]
The query returned no results, which means there might be no sibling of JFK who ended a government post after 1968-06-06 or the data might be incomplete.

I will try a slightly different approach by checking if JFK's siblings have any government positions held and then filter by the end date after 1968-06-06. I will also check if the end date property is correctly used.

[Tool]
Got 6 rows and 3 columns:
| sibling                        | siblingLabel           | endDate               |
| ------------------------------ | ---------------------- | --------------------- |
| Ted Kennedy (fb:m.0194xc)      | Ted Kennedy (en)       | 2009-08-25 (xsd:date) |
| Robert F. Kennedy (fb:m.06hx2) | Robert F. Kennedy (en) | 1964 (xsd:gYear)      |
| Robert F. Kennedy (fb:m.06hx2) | Robert F. Kennedy (en) | 1968-06-06 (xsd:date) |
| John F. Kennedy (fb:m.0d3k14)  | John F. Kennedy (en)   | 1953-01-03 (xsd:date) |
| John F. Kennedy (fb:m.0d3k14)  | John F. Kennedy (en)   | 1960-12-22 (xsd:date) |
| John F. Kennedy (fb:m.0d3k14)  | John F. Kennedy (en)   | 1963-11-22 (xsd:date) |

[Assistant]
The results show that Ted Kennedy and Robert F. Kennedy are siblings of JFK who held government positions. Ted Kennedy ended his government post in 2009, and Robert F. Kennedy ended his government post on 1968-06-06.

The question asks for a politician and brother of JFK who ended his government post after 1968-06-06. Ted Kennedy fits this criterion.

I will now finalize the answer with Ted Kennedy as the politician and brother of JFK who ended his government post after 1968-06-06.

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The system's SPARQL query did not return any results, which indicates an issue with the query or the data. The query attempts to find siblings of JFK who held government positions ending after 1968-06-06, but it returned no rows. Since Ted Kennedy is known to be JFK's brother and a politician who ended his government post after that date, the query should be able to find him. Possible issues include incorrect filtering on the end date or missing data for the end date of positions. The query should be reviewed and refined to ensure it correctly captures the end date condition and that it includes all relevant government positions held by JFK's siblings. Additionally, verifying that the date format and property usage are correct is important. The system should retry with an improved query to find the correct answer.

[Assistant] Thank you for the feedback. I will refine the query to better capture the end date condition. Specifically, I will check for government positions held by JFK's siblings and include those with no end date or with an end date after 1968-06-06. This way, we won't miss any relevant positions due to missing end dates. I will also ensure the date format and property usage are correct.

[Tool] Got no rows and 3 columns

[Assistant]
The query still returned no results, which suggests that the end date property might not be consistently used or the date format might be different.

I will try another approach by checking the government positions held by JFK's siblings and retrieving all end dates without filtering. Then I will analyze the dates to see if there is any discrepancy or different date format.

[Tool]
Got 6 rows and 3 columns:
| sibling                        | siblingLabel           | endDate               |
| ------------------------------ | ---------------------- | --------------------- |
| Ted Kennedy (fb:m.0194xc)      | Ted Kennedy (en)       | 2009-08-25 (xsd:date) |
| Robert F. Kennedy (fb:m.06hx2) | Robert F. Kennedy (en) | 1964 (xsd:gYear)      |
| Robert F. Kennedy (fb:m.06hx2) | Robert F. Kennedy (en) | 1968-06-06 (xsd:date) |
| John F. Kennedy (fb:m.0d3k14)  | John F. Kennedy (en)   | 1953-01-03 (xsd:date) |
| John F. Kennedy (fb:m.0d3k14)  | John F. Kennedy (en)   | 1960-12-22 (xsd:date) |
| John F. Kennedy (fb:m.0d3k14)  | John F. Kennedy (en)   | 1963-11-22 (xsd:date) |

[Assistant]
The data shows that Ted Kennedy has an end date of 2009-08-25 for a government position, which is after 1968-06-06. Robert F. Kennedy has end dates before or on 1968-06-06.

The previous filtering on the date should have worked, but it returned no results. I suspect the issue might be with the xsd:dateTime type in the filter. I will try using xsd:date instead for the date comparison in the filter.

[Tool]
Got 1 row and 3 columns:
| sibling                   | siblingLabel     | endDate               |
| ------------------------- | ---------------- | --------------------- |
| Ted Kennedy (fb:m.0194xc) | Ted Kennedy (en) | 2009-08-25 (xsd:date) |

[Assistant]
The refined query using xsd:date for the date comparison returned Ted Kennedy as the politician and brother of JFK who ended his government post after 1968-06-06.

I will now finalize the answer with this corrected query and result.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies Ted Kennedy as the brother of JFK who ended his government post after 1968-06-06. It uses appropriate properties to find siblings, their government positions, and the end dates of those positions, with a proper date filter. The query returns the expected result with the correct label and end date. The answer is accurate and complete based on the query results.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?county ?countyLabel WHERE {
  fb:m.04b4qw1 fb:location.neighborhood.neighborhood_of ?place .
  ?place fb:location.hud_county_place.county ?county .
  OPTIONAL {
    ?county rdfs:label ?countyLabel .
    FILTER ( lang( ?countyLabel ) = 'en' )
  }
}

The neighborhood of Stonehaven is located in Mecklenburg County.

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

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

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

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

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

[User] What county is the neighborhood of Stonehaven located in?

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

[Tool]
Example 1:
Question:
Which sites are well known in the Stonehaven neighborhood?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:location.place_with_neighborhoods.neighborhoods fb:m.04b4qw1 .
  ?c fb:travel.travel_destination.tourist_attractions ?x .
}

Using entities:
Stonehaven, also known as Stonehaven, North Carolina (fb:m.04b4qw1): The Stonehaven neighborhood of Charlotte, North Carolina was est...ural style is the ranch-style house with brick or wood exterior., has type Neighborhood

Using properties:
Neighborhoods (fb:location.place_with_neighborhoods.neighborhoods): part of Place with neighborhoods schema, links to type Neighborhood
Tourist attractions (fb:travel.travel_destination.tourist_attractions): part of Travel destination schema, links to type Tourist attraction

Example 2:
Question:
In what county is the location where the film "Paranormal Activity" is set?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:film.film_location.featured_in_films fb:m.07s3m4g .
  ?c fb:location.hud_county_place.county ?x .
}

Using entities:
Paranormal Activity (fb:m.07s3m4g): Paranormal Activity is a 2007 American found footage supernatura...rify independently as this is likely to exclude marketing costs., has type Award-Winning Work

Using properties:
Featured In Films (fb:film.film_location.featured_in_films): part of Filming location schema, links to type Film
County (fb:location.hud_county_place.county): part of HUD County Place schema, links to type US County

Example 3:
Question:
In which state is the neighborhood Harbourfront located?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:location.place_with_neighborhoods.neighborhoods fb:m.02kkt0 .
  ?c fb:base.biblioness.bibs_location.state ?x .
}

Using entities:
Harbourfront, also known as Harbourfront, Canada, Harbourfront, Ontario (fb:m.02kkt0): Harbourfront is a neighbourhood on the northern shore of Lake On...r York Street. Its northern boundary is the Gardiner Expressway., has type Neighborhood

Using properties:
State (fb:base.biblioness.bibs_location.state): part of Bibs Location schema, links to type Location
Neighborhoods (fb:location.place_with_neighborhoods.neighborhoods): part of Place with neighborhoods schema, links to type Neighborhood

[Assistant]
From the examples, I see that neighborhoods are linked with the property fb:location.place_with_neighborhoods.neighborhoods and counties can be linked with the property fb:location.hud_county_place.county.

First, I will search for the entity "Stonehaven" to identify the correct entity I should use in the query.

[Tool]
Top 10 entity alternatives:
1. Stonehaven (fb:m.014kh1): Stonehaven is a town in Aberdeenshire, Scotland. It lies on Scot...aven railway station, and lies just to the east of the A90 road., has type City/Town/Village
2. Stonehaven, also known as Stonehaven, North Carolina (fb:m.04b4qw1): The Stonehaven neighborhood of Charlotte, North Carolina was est...ural style is the ranch-style house with brick or wood exterior., has type Neighborhood
3. Stonehaven, Delaware, also known as Stonehaven, Delaware, Stonehaven (fb:m.048rp8p): Stonehaven is an unincorporated community in New Castle County, Delaware, United States., has type City/Town/Village
4. Stonehaven (fb:m.0h_b50r): "Stonehaven", also known as the John and Sarah Lundgren House, i...t was added to the National Register of Historic Places in 1996., has type House
5. Stonehaven, also known as Stonehaven, South Carolina (fb:m.04bq9_l): has type City/Town/Village
6. Stonehaven, also known as Stonehaven, New Mexico (fb:m.04b9vpd): has type City/Town/Village
7. Stonehaven, also known as Stonehaven, Maryland (fb:m.0498z5j): has type City/Town/Village
8. Stonehaven (fb:m.0f0xlz3): has type Musical Recording
9. Stonehaven (fb:m.0x08nrr): has type Musical Recording
10. Stonehaven (fb:m.0dmv2zf): has type Musical Recording

[Assistant] There is a neighborhood named Stonehaven in Charlotte, North Carolina with the entity fb:m.04b4qw1. I will now check the properties related to counties for this entity.

[Tool]
Top 10 property alternatives:
1. Key (fb:type.object.key): part of Object schema, links to type Key
2. Area (fb:location.location.area): links to type Floating Point Number, part of Location schema
3. Population (fb:location.statistical_region.population): part of Statistical region schema, links to type Dated Integer
4. Description (fb:common.topic.description): part of Topic schema, links to type Text
5. Type (fb:type.object.type): part of Object schema, links to type Type
6. Area code (fb:base.wikipedia_infobox.settlement.area_code): part of Settlement schema, links to type Area code
7. Name (fb:type.object.name): part of Object schema, links to type Text
8. Contained by (fb:location.location.containedby): part of Location schema, links to type Location
9. Neighborhood of (fb:location.neighborhood.neighborhood_of): links to type Place with neighborhoods, part of Neighborhood schema
10. Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type

No other items found

[Assistant] The entity for Stonehaven neighborhood does not have a direct property related to county. However, it has a property "Neighborhood of" (fb:location.neighborhood.neighborhood_of) which links to a place. I will check if this place has a county property. I will first find the place that Stonehaven neighborhood is part of using the "Neighborhood of" property.

[Tool]
Got 1 row and 1 column:
| place                  |
| ---------------------- |
| Charlotte (fb:m.0fsb8) |

[Assistant] The Stonehaven neighborhood is part of Charlotte (fb:m.0fsb8). Now I will check if Charlotte has a county property.

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

No other items found

[Assistant] The entity Charlotte (fb:m.0fsb8) has a property "County" (fb:location.hud_county_place.county). I will now write a SPARQL query to find the county of the Stonehaven neighborhood by going through Charlotte.

[Tool]
Got 1 row and 2 columns:
| county                            | countyLabel             |
| --------------------------------- | ----------------------- |
| Mecklenburg County (fb:m.025rst1) | Mecklenburg County (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the county of the neighborhood Stonehaven by linking the neighborhood to its place and then to the county. The query returns the county's identifier and its English label, which matches the answer provided: Mecklenburg County. The query uses appropriate properties and entities, and the execution result confirms the correctness of the answer. No further refinement is needed.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?borderingCountry WHERE {
  fb:m.0154j fb:location.location.adjoin_s ?adjoinRel .
  ?adjoinRel fb:location.adjoining_relationship.adjoins ?borderingCountry .
  ?borderingCountry fb:common.topic.notable_types fb:m.01mp .
  FILTER ( ?borderingCountry != fb:m.0154j )
}

Got 4 rows and 1 column:
| borderingCountry         |
| ------------------------ |
| Germany (fb:m.0345h)     |
| Luxembourg (fb:m.04g61)  |
| Netherlands (fb:m.059j2) |
| France (fb:m.0f8l9c)     |

The birth country of Jean Marie Ghuysen is Belgium, not France. The countries that share a border with Belgium are Germany, Luxembourg, Netherlands, and France.

[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 countries share a border with the birth country of Jean Marie Ghuysen, France?

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

[Tool]
Example 1:
Question:
What country bordering France contains LiÃ¨ge?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0f8l9c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0f8l9c fb:location.location.adjoin_s ?y .
  ?y fb:location.adjoining_relationship.adjoins ?x .
  ?x fb:common.topic.notable_types fb:m.01mp .
  ?x fb:location.country.administrative_divisions fb:m.013d56 .
}

Using entities:
Liège, also known as Provincie Luik, Province De Liège, Province De Liege, Lüttich, Liege (fb:m.013d56): Liège is the easternmost province of Wallonia and Belgium. It bo... The capital of the province is the city of the same name Liège., has type Administrative Division
Country, also known as Empire (fb:m.01mp): The type country in Freebase can and should be used with a varie...s with little population or autonomy will be typed as a country.
France, also known as French Republic, République française, l'Hexagone (fb:m.0f8l9c): France, officially the French Republic, is a sovereign state com...g and paving the way for a future centralized absolute monarchy., has type Country

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Adjoins (fb:location.adjoining_relationship.adjoins): part of Adjoining Relationship schema, links to type Location
Administrative Divisions (fb:location.country.administrative_divisions): links to type Administrative Division, part of Country schema
Adjoins (fb:location.location.adjoin_s): links to type Adjoining Relationship, part of Location schema

Example 2:
Question:
What countries border the country with an office holder named Michel Goudchaux?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:government.governmental_jurisdiction.governing_officials ?k .
  ?k fb:government.government_position_held.office_holder fb:m.0_s65gv .
  ?c fb:location.location.adjoin_s ?y .
  ?y fb:location.adjoining_relationship.adjoins ?x .
  ?x fb:common.topic.notable_types fb:m.01mp .
}

Using entities:
Country, also known as Empire (fb:m.01mp): The type country in Freebase can and should be used with a varie...s with little population or autonomy will be typed as a country.
Michel Goudchaux (fb:m.0_s65gv): Michel Goudchaux was a French banker and politician who was twic...Republican, he refused to accept the government of Napoleon III., has type Politician

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

Example 3:
Question:
What countries border the country with Nicolas Sarkozy in the government position?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:government.governmental_jurisdiction.governing_officials ?k .
  ?k fb:government.government_position_held.appointed_by fb:m.02ps9k .
  ?c fb:location.location.adjoin_s ?y .
  ?y fb:location.adjoining_relationship.adjoins ?x .
  ?x fb:common.topic.notable_types fb:m.01mp .
}

Using entities:
Country, also known as Empire (fb:m.01mp): The type country in Freebase can and should be used with a varie...s with little population or autonomy will be typed as a country.
Nicolas Sarkozy, also known as Nicolas Paul Stéphane Sarközy de Nagy-Bocsa, The Bling Bling President, Speedy, Sarko l'Américain, Sarko (fb:m.02ps9k): Nicolas Sarkozy is a French politician who served as the Preside...er Carla Bruni on 2 February 2008 at the Élysée Palace in Paris., has type Politician

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Appointed By (if Position is Appointed) (fb:government.government_position_held.appointed_by): part of Government Position Held schema, links to type Political Appointer
Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held
Adjoins (fb:location.adjoining_relationship.adjoins): part of Adjoining Relationship schema, links to type Location
Adjoins (fb:location.location.adjoin_s): links to type Adjoining Relationship, part of Location schema

[Assistant]
From the examples, it appears that the property fb:location.location.adjoin_s is used to find adjoining relationships for a country, and fb:location.adjoining_relationship.adjoins is used to find the countries that adjoin. Also, the type for countries is fb:m.01mp.

Next, I will search for the entity "Jean Marie Ghuysen" to find his birth country. Then I will verify that the birth country is France. After that, I will query for countries that share a border with France.

[Tool]
Top 10 entity alternatives:
1. Jean Marie Ghuysen (fb:g.11r_pj4qw): has type Author
2. Jean Marie (fb:m.0f0j0ds): has type Musical Recording
3. Jean Marie (fb:m.0xcnb5_): has type Musical Recording
4. Jean Marie (fb:m.0_69gmr): has type Musical Recording
5. Jean Marie (fb:m.0zwlj9): has type Musical Recording
6. Jean Marie (fb:m.0rjsqbm): has type Musical Recording
7. Jean Marie (fb:m.0fhxckl): has type Musical Recording
8. Jean Marie (fb:m.0_7y45c): has type Musical Recording
9. Jean Marie (fb:m.01c4s09): has type Musical Recording
10. Marie Jean (fb:m.0rzt059): Marie Jean is a hair stylist., has type Film crewmember

[Assistant] I found an entity for Jean Marie Ghuysen (fb:g.11r_pj4qw) with type Author. I will now search for the birth country of this entity.

[Tool]
Got 25 rows and 3 columns, showing the first 10 rows below:
| subject                             | property                                              | object                                                                        |
| ----------------------------------- | ----------------------------------------------------- | ----------------------------------------------------------------------------- |
| Jean Marie Ghuysen (fb:g.11r_pj4qw) | Type (fb:type.object.type)                            | Topic (fb:common.topic)                                                       |
| Jean Marie Ghuysen (fb:g.11r_pj4qw) | Name (fb:type.object.name)                            | Jean Marie Ghuysen (en)                                                       |
| Jean Marie Ghuysen (fb:g.11r_pj4qw) | Notable for (fb:common.topic.notable_for)             | fb:g.11bv2d_dvm                                                               |
| Jean Marie Ghuysen (fb:g.11r_pj4qw) | Notable types (fb:common.topic.notable_types)         | Author (fb:m.01xryvt)                                                         |
| Jean Marie Ghuysen (fb:g.11r_pj4qw) | Date of birth (fb:people.person.date_of_birth)        | 1925 (xsd:gYear)                                                              |
| Jean Marie Ghuysen (fb:g.11r_pj4qw) | Works written (fb:book.author.works_written)          | The bacterial DD-carboxypeptidase-transpeptidase enzyme system (fb:m.0c54hd4) |
| Jean Marie Ghuysen (fb:g.11r_pj4qw) | Place of birth (fb:people.person.place_of_birth)      | Belgium (fb:m.0154j)                                                          |
| Jean Marie Ghuysen (fb:g.11r_pj4qw) | Country of nationality (fb:people.person.nationality) | Belgium (fb:m.0154j)                                                          |
| Jean Marie Ghuysen (fb:g.11r_pj4qw) | Awards Won (fb:award.award_winner.awards_won)         | fb:m.0wzm6gt                                                                  |
| Jean Marie Ghuysen (fb:g.11r_pj4qw) | rdf:type                                              | Topic (fb:common.topic)                                                       |
| ...                                 | ...                                                   | ...                                                                           |

[Assistant]
The birth country (place of birth) of Jean Marie Ghuysen is Belgium (fb:m.0154j), not France.

Now I will find the countries that share a border with Belgium.

[Tool]
Got 5 rows and 1 column:
| borderingCountry         |
| ------------------------ |
| Belgium (fb:m.0154j)     |
| Germany (fb:m.0345h)     |
| Luxembourg (fb:m.04g61)  |
| Netherlands (fb:m.059j2) |
| France (fb:m.0f8l9c)     |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The answer correctly identifies Belgium as the birth country of Jean Marie Ghuysen and lists the countries sharing a border with Belgium, including Belgium itself. However, the query result includes Belgium as a bordering country, which is incorrect since a country does not border itself. The SPARQL query should be refined to exclude the birth country (Belgium) from the list of bordering countries. Additionally, the answer should explicitly state that Belgium is the birth country, not France as initially mentioned in the question, to avoid confusion.

[Assistant] Thank you for the feedback. I will refine the SPARQL query to exclude Belgium itself from the list of bordering countries and clarify in the answer that Belgium is the birth country of Jean Marie Ghuysen, not France.

[Tool]
Got 4 rows and 1 column:
| borderingCountry         |
| ------------------------ |
| Germany (fb:m.0345h)     |
| Luxembourg (fb:m.04g61)  |
| Netherlands (fb:m.059j2) |
| France (fb:m.0f8l9c)     |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The system correctly identified that Jean Marie Ghuysen's birth country is Belgium, not France, which addresses the user's question accurately. The SPARQL query retrieves all countries bordering Belgium, returning Germany, Luxembourg, Netherlands, and France, which is correct. The query uses appropriate properties and filters to exclude Belgium itself. The answer is complete, accurate, and well-supported by the query results. No further refinement is necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?partner ?partnerLabel WHERE {
  fb:m.0d05w3 fb:location.statistical_region.places_exported_to ?trade .
  ?trade fb:location.imports_and_exports.exported_to ?partner .
  ?partner fb:location.administrative_division.country fb:m.0j1z8 .
  OPTIONAL {
    ?partner rdfs:label ?partnerLabel
  }
}
LIMIT 10

Got 10 rows and 2 columns:
| partner             | partnerLabel |
| ------------------- | ------------ |
| Dubai (fb:m.01f08r) | Dubai (ca)   |
| Dubai (fb:m.01f08r) | Dubai (da)   |
| Dubai (fb:m.01f08r) | Dubai (de)   |
| Dubai (fb:m.01f08r) | Dubai (en)   |
| Dubai (fb:m.01f08r) | Dubai (fi)   |
| Dubai (fb:m.01f08r) | Dubai (fil)  |
| Dubai (fb:m.01f08r) | Dubai (hr)   |
| Dubai (fb:m.01f08r) | Dubai (id)   |
| Dubai (fb:m.01f08r) | Dubai (it)   |
| Dubai (fb:m.01f08r) | Dubai (ms)   |

The main trading partner of China that is an administrative division in the country United Arab Emirates is Dubai.

[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 main trading partner of China is an administrative division in the country United Arab Emirates?

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

[Tool]
Example 1:
Question:
Who are Iran 's major trading partners and is an administrative division of the United Arab Emirates?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03shp ) {
    fb:m.03shp fb:location.statistical_region.places_exported_to ?y .
    ?y fb:location.imports_and_exports.exported_to ?x .
  } UNION {
    fb:m.03shp fb:location.statistical_region.places_imported_from ?y .
    ?y fb:location.imports_and_exports.imported_from ?x .
  }
  ?x fb:location.administrative_division.country fb:m.0j1z8 .
}

Using entities:
Iran, also known as Islamic Republic of Iran, Persia (fb:m.03shp): Iran, also known as Persia, officially the Islamic Republic of I... became the dominant cultural and political power in the region., has type Country
United Arab Emirates, also known as Emirates, UAE (fb:m.0j1z8): The United Arab Emirates /juːˌnaɪtɨd ˌærəb ˈɛmɪrɨts/, sometimes ...le its natural gas reserves are the world's seventeenth-largest., has type Country

Using properties:
Country (fb:location.administrative_division.country): part of Administrative Division schema, links to type Country
Exported to (fb:location.imports_and_exports.exported_to): part of Imports and exports schema, links to type Statistical region
Imported from (fb:location.imports_and_exports.imported_from): part of Imports and exports schema, links to type Statistical region
Places exported to (fb:location.statistical_region.places_exported_to): links to type Imports and exports, part of Statistical region schema
Places imported from (fb:location.statistical_region.places_imported_from): links to type Imports and exports, part of Statistical region schema

Example 2:
Question:
What country is one of china's trading partners contains a neighborhood named Al Barsha?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0d05w3 ) {
    fb:m.0d05w3 fb:location.statistical_region.places_exported_to ?y .
    ?y fb:location.imports_and_exports.exported_to ?x .
  } UNION {
    fb:m.0d05w3 fb:location.statistical_region.places_imported_from ?y .
    ?y fb:location.imports_and_exports.imported_from ?x .
  }
  ?x fb:location.place_with_neighborhoods.neighborhoods fb:m.03qjy7j .
}

Using entities:
Al Barsha (fb:m.03qjy7j): Al Barsha is a collection of sub-communities in Dubai, United Ar... the south by Dubai Sports City and other property developments., has type Neighborhood
China, also known as People's Republic of China (fb:m.0d05w3): China, officially the People's Republic of China, is a sovereign...h-largest by total area, depending on the method of measurement., has type Country

Using properties:
Exported to (fb:location.imports_and_exports.exported_to): part of Imports and exports schema, links to type Statistical region
Imported from (fb:location.imports_and_exports.imported_from): part of Imports and exports schema, links to type Statistical region
Neighborhoods (fb:location.place_with_neighborhoods.neighborhoods): part of Place with neighborhoods schema, links to type Neighborhood
Places exported to (fb:location.statistical_region.places_exported_to): links to type Imports and exports, part of Statistical region schema
Places imported from (fb:location.statistical_region.places_imported_from): links to type Imports and exports, part of Statistical region schema

Example 3:
Question:
What trading partner of Portugal is a jurisdiction governed by the governing body called the Supreme Council of United Arab Emirates?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.05r4w ) {
    fb:m.05r4w fb:location.statistical_region.places_exported_to ?y .
    ?y fb:location.imports_and_exports.exported_to ?x .
  } UNION {
    fb:m.05r4w fb:location.statistical_region.places_imported_from ?y .
    ?y fb:location.imports_and_exports.imported_from ?x .
  }
  ?x fb:government.governmental_jurisdiction.governing_officials ?c .
  ?c fb:government.government_position_held.governmental_body fb:m.059dyww .
}

Using entities:
Supreme Council of United Arab Emirates (fb:m.059dyww): has type Governmental Body
Portugal, also known as Portuguese Republic (fb:m.05r4w): Portugal, officially the Portuguese Republic, is a country on th...ne of the world's major economic, political and military powers., has type Country

Using properties:
Governmental body (if position is part of one) (fb:government.government_position_held.governmental_body): part of Government Position Held schema, links to type Governmental Body
Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held
Exported to (fb:location.imports_and_exports.exported_to): part of Imports and exports schema, links to type Statistical region
Imported from (fb:location.imports_and_exports.imported_from): part of Imports and exports schema, links to type Statistical region
Places exported to (fb:location.statistical_region.places_exported_to): links to type Imports and exports, part of Statistical region schema
Places imported from (fb:location.statistical_region.places_imported_from): links to type Imports and exports, part of Statistical region schema

[Assistant]
From the examples, it seems the property fb:location.statistical_region.places_exported_to or fb:location.statistical_region.places_imported_from can be used to find trading partners of a country. Also, the property fb:location.administrative_division.country can be used to check if an entity is an administrative division of a country.

I will now search for the entity "China" in the freebase knowledge graph to get its identifier.

[Tool]
Top 10 entity alternatives:
1. China, also known as People's Republic of China (fb:m.0d05w3): China, officially the People's Republic of China, is a sovereign...h-largest by total area, depending on the method of measurement., has type Country
2. China, also known as China, Texas, Jefferson County / China city (fb:m.0104mv): China is a city in Jefferson County, Texas, United States. The p..., especially rice, and by the nearby oil and natural gas fields., has type City/Town/Village
3. China Moses, also known as China (fb:m.0dphjp_): China Moses is an American singer and television host. She lives in Paris., has type Composer
4. China, also known as China, Kagoshima (fb:m.02c1r4): China is a town located on Okinoerabujima, in Ōshima District, K...ion density of 122 persons per km². The total area is 53.29 km²., has type City/Town/Village
5. China (fb:m.01sgkrd): China is a hard rock band from Winterthur, Switzerland founded i...88 and 2013 have entered the Top 40 album charts in Switzerland., has type Musical Group
6. Chung Kuo, Cina, also known as China, Chung Kuo Cina, Chung Kuo, Cina (fb:m.05p3p6q): Chung Kuo, Cina is a 1972 Italian documentary directed by Michel...arily on the lives of contemporary working class Chinese people., has type Film
7. María Eugenia Suárez, also known as China Suárez, María Eugenia Suárez Riveiro, Eugenia Suárez, China (fb:m.047d28m): María Eugenia Suárez Riveiro, also known as Eugenia "China" Suár...up series Casi Ángeles and as a member of its group Teen Angels., has type Film actor
8. China (fb:m.038y5l): China is a 1979 album by the Greek artist Vangelis. Although he ...nese instruments and compositional styles on this concept album., has type Musical Album
9. China (fb:m.047f_s5): João Pedro dos Santos Gonçalves, commonly known as China, is a Portuguese professional footballer who plays as a left back., has type Football player
10. Amir Issaa, also known as Amir, China, Meticcio, Peso Piuma (fb:m.0hnt_m_): Amir Issaa is a rapper., has type Composer

[Assistant] The entity for China as a country is fb:m.0d05w3. Next, I will search for the entity "United Arab Emirates" to get its identifier.

[Tool]
Top 10 entity alternatives:
1. United Arab Emirates, also known as Emirates, UAE (fb:m.0j1z8): The United Arab Emirates /juːˌnaɪtɨd ˌærəb ˈɛmɪrɨts/, sometimes ...le its natural gas reserves are the world's seventeenth-largest., has type Country
2. United Arab Emirates (fb:m.0y91rq_): has type Musical Recording
3. United Arab Emirates (fb:m.010jr9t_): has type Musical Recording
4. United Arab Emirates (fb:m.0c6m577): has type Book Edition
5. United Arab Emirates (fb:m.0c66mcj): has type Book Edition
6. United Arab Emirates (fb:m.0ydrwhv)
7. United Arab Emirates (fb:m.0_hxtp6)
8. United Arab Emirates (fb:m.0128mct_)
9. United Arab Emirates (fb:m.010j0x9k)
10. United Arab Emirates (fb:m.07p73zd)

[Assistant] The entity for United Arab Emirates as a country is fb:m.0j1z8. Now I will write a SPARQL query to find the main trading partners of China that are administrative divisions in the country United Arab Emirates. I will use the properties and structure from the similar example 1.

[Tool]
Got 10 rows and 2 columns:
| partner             | partnerLabel |
| ------------------- | ------------ |
| Dubai (fb:m.01f08r) | Dubai (ca)   |
| Dubai (fb:m.01f08r) | Dubai (da)   |
| Dubai (fb:m.01f08r) | Dubai (de)   |
| Dubai (fb:m.01f08r) | Dubai (en)   |
| Dubai (fb:m.01f08r) | Dubai (fi)   |
| Dubai (fb:m.01f08r) | Dubai (fil)  |
| Dubai (fb:m.01f08r) | Dubai (hr)   |
| Dubai (fb:m.01f08r) | Dubai (id)   |
| Dubai (fb:m.01f08r) | Dubai (it)   |
| Dubai (fb:m.01f08r) | Dubai (ms)   |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies Dubai as a main trading partner of China that is an administrative division in the United Arab Emirates. The query uses appropriate properties to link China to its trading partners and filters those partners to be administrative divisions within the UAE. The result set confirms Dubai as the answer, with multiple labels in different languages, which is acceptable. The answer is correct and complete.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?person ?placeOfBirth WHERE {
  fb:m.09nx79 fb:location.location.people_born_here ?person .
  ?person fb:people.person.place_of_birth ?placeOfBirth .
}
LIMIT 10

There is no data available in the knowledge graph about a person born in Gingins or their place of birth.

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

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

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

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

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

[User] A person who was once born in Gingins was born where?

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

[Tool]
Example 1:
Question:
There was a wide receiver born here and Robin Williams lived here in 2011, can you name the city?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0dzf_ ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0dzf_ fb:people.person.places_lived ?y .
  ?y fb:people.place_lived.location ?x .
  FILTER ( NOT EXISTS {
    ?y fb:people.place_lived.end_date ?sk0
  }
  || EXISTS {
    ?y fb:people.place_lived.end_date ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) >= "2011-01-01" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:people.place_lived.start_date ?sk2
  }
  || EXISTS {
    ?y fb:people.place_lived.start_date ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) <= "2011-12-31" ^^ xsd:dateTime )
  }
  ) ?x fb:location.location.people_born_here ?c .
  ?c fb:american_football.football_player.position_s fb:m.02g_6x .
}

Using entities:
Wide receiver, also known as WR, RE (fb:m.02g_6x): A wide receiver is an offensive position in American and Canadia...ers in the game, and they are frequent highlight-reel favorites., has type Sports position
Robin Williams, also known as Ray D. Tutto, Sudy Nim, Robin Willaims, Robin McLaurin Williams, Robin McLaurim Williams (fb:m.0dzf_): Robin McLaurin Williams was an American actor and comedian. Star...or for his performance as Dr. Sean Maguire in Good Will Hunting., has type Celebrity

Using properties:
Position(s) (fb:american_football.football_player.position_s): part of American football player schema, links to type Sports position
People born here (fb:location.location.people_born_here): part of Location schema, links to type Person
Places lived (fb:people.person.places_lived): links to type Place lived, part of Person schema
End date (fb:people.place_lived.end_date): part of Place lived schema, links to type Date/Time
Location (fb:people.place_lived.location): part of Place lived schema, links to type Location
Start date (fb:people.place_lived.start_date): part of Place lived schema, links to type Date/Time

Example 2:
Question:
What city is the birthplace of the actor who was known for playing the character Ezekiel 'Spoon' Whitmore?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:film.actor.film ?k .
  ?k fb:film.performance.character fb:m.0dl7n7f .
  ?c fb:people.person.place_of_birth ?x .
}

Using entities:
Ezekiel 'Spoon' Whitmore (fb:m.0dl7n7f): Ezekiel 'Spoon' Whitmore is a fictional character in the 1997 film Gridlock'd., has type Film character

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
Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema

Example 3:
Question:
Which place, where a citizen of Georgia was born, does Allen Iverson live in now?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01sg7_ ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01sg7_ fb:people.person.places_lived ?y .
  ?y fb:people.place_lived.location ?x .
  FILTER ( NOT EXISTS {
    ?y fb:people.place_lived.end_date ?sk0
  }
  || EXISTS {
    ?y fb:people.place_lived.end_date ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) >= "2015-08-10" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:people.place_lived.start_date ?sk2
  }
  || EXISTS {
    ?y fb:people.place_lived.start_date ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) <= "2015-08-10" ^^ xsd:dateTime )
  }
  ) ?x fb:location.location.people_born_here ?c .
  ?c fb:people.person.nationality fb:m.0d0kn .
}

Using entities:
Allen Iverson, also known as Al, The Answer, Ivy, Allen Ezail Iverson, Allen E. Iverson (fb:m.01sg7_): Allen Ezail Iverson is an American retired professional basketba.... He was named the NBA Rookie of the Year in the 1996–97 season., has type Basketball Player
Georgia, also known as Republic of Georgia (fb:m.0d0kn): Georgia is a country in the Caucasus region of Eurasia. Located ...enturies, including the Safavids, Afsharids, and Qajar Iranians., has type Country

Using properties:
People born here (fb:location.location.people_born_here): part of Location schema, links to type Person
Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
Places lived (fb:people.person.places_lived): links to type Place lived, part of Person schema
End date (fb:people.place_lived.end_date): part of Place lived schema, links to type Date/Time
Location (fb:people.place_lived.location): part of Place lived schema, links to type Location
Start date (fb:people.place_lived.start_date): part of Place lived schema, links to type Date/Time

[Assistant]
From the examples, it is clear that the property for a person's place of birth is fb:people.person.place_of_birth and the property for a location's people born there is fb:location.location.people_born_here.

Now, I will search for the entity "Gingins" in the knowledge graph to get its identifier. Then I will find people born in Gingins and get their place of birth. This will help us confirm the place where a person born in Gingins was born.

[Tool]
Top 10 entity alternatives:
1. Gingins (fb:m.09nx79): Gingins is a municipality in the district of Nyon in the canton of Vaud in Switzerland., has type Administrative Division
2. Lavandula x ginginsii (fb:m.0b3x737): has type Organism Classification
3. Frédéric Charles Jean Gingins de la Sarraz (fb:m.0_yk3vh): Frédéric Charles Jean Gingins de la Sarraz was a Swiss historian...stin Pyramus de Candolle named the genus Ginginsia in his honor., has type Author

[Assistant] The entity for Gingins is fb:m.09nx79. Now I will write a query to find people born in Gingins and get their place of birth. This will confirm the place where a person born in Gingins was born.

[Tool] Got no rows and 2 columns

[Assistant]
The query did not return any results, which means there might be no direct data about people born in Gingins in the knowledge graph or the property usage might be different.

I will try a different approach: I will query for the place of birth of people who are linked to Gingins through the property "people born here" from the location side. This means I will find people born in Gingins and then get their place of birth.

[Tool] Got no rows and 2 columns

[Assistant]
There are no people recorded as born in Gingins in the knowledge graph, so we cannot find a place of birth for a person born in Gingins.

I will now answer the question based on this finding.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The system correctly identified that there is no data available in the knowledge graph about any person born in Gingins or their place of birth. The SPARQL query is well-formed and logically consistent with the question, querying for persons born in Gingins and their places of birth. Since the query returned no results, the answer that no data is available is appropriate and complete.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?film ?filmLabel ?releaseDate WHERE {
  fb:m.0dl567 fb:film.actor.film ?performance .
  ?performance fb:film.performance.film ?film .
  ?film fb:film.film.initial_release_date ?releaseDate .
  OPTIONAL {
    ?film rdfs:label ?filmLabel .
    FILTER ( lang( ?filmLabel ) = "en" )
  }
}
ORDER BY ?releaseDate

Got 5 rows and 3 columns:
| film                                                  | filmLabel                                   | releaseDate           |
| ----------------------------------------------------- | ------------------------------------------- | --------------------- |
| Jonas Brothers: The Concert Experience (fb:m.0djb8hx) | Jonas Brothers: The Concert Experience (en) | 2009-02-27 (xsd:date) |
| Hannah Montana: The Movie (fb:m.02x3lt7)              | Hannah Montana: The Movie (en)              | 2009-04-08 (xsd:date) |
| Valentine's Day (fb:m.06_wqk4)                        | Valentine's Day (en)                        | 2010-02-08 (xsd:date) |
| The Lorax (fb:m.087wc7n)                              | The Lorax (en)                              | 2012-03-01 (xsd:date) |
| The Giver (fb:m.0dx5q8)                               | The Giver (en)                              | 2014-08-11 (xsd:date) |

The film that Taylor Swift acted in and was released on 2009-04-08 is "Hannah Montana: The Movie".

[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 Taylor Swift's film that was released on 4-8-2009?

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

[Tool]
Example 1:
Question:
What movie was released in March of 2009 and featured Liam Hemsworth?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.04yd0fh ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.04yd0fh fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:film.film.initial_release_date "2009-03-09" ^^ xsd:dateTime .
}

Using entities:
Liam Hemsworth (fb:m.04yd0fh): Liam Hemsworth is an Australian actor. He played the role of Jos...es. Hemsworth's older brothers, Luke and Chris, are also actors., has type Celebrity

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Initial release date (fb:film.film.initial_release_date): links to type Date/Time, part of Film schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film

Example 2:
Question:
What movie starring Liam Hemsworth that was released after 7-7-2009?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.04yd0fh ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.04yd0fh fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:film.film.release_date_s ?c .
  ?c fb:film.film_regional_release_date.release_date ?num .
  FILTER ( ?num > "2009-07-07" ^^ xsd:dateTime ) .
}

Using entities:
Liam Hemsworth (fb:m.04yd0fh): Liam Hemsworth is an Australian actor. He played the role of Jos...es. Hemsworth's older brothers, Luke and Chris, are also actors., has type Celebrity

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Release date(s) (fb:film.film.release_date_s): links to type Film regional release date, part of Film schema
Release Date (fb:film.film_regional_release_date.release_date): part of Film regional release date schema, links to type Date/Time
Film (fb:film.performance.film): part of Film performance schema, links to type Film

Example 3:
Question:
What movie was released before 2009-08-27 and includes acot Liam Hemsworth?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.04yd0fh ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.04yd0fh fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:film.film.initial_release_date ?num .
  FILTER ( ?num < "2009-08-27" ^^ xsd:dateTime ) .
}

Using entities:
Liam Hemsworth (fb:m.04yd0fh): Liam Hemsworth is an Australian actor. He played the role of Jos...es. Hemsworth's older brothers, Luke and Chris, are also actors., has type Celebrity

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Initial release date (fb:film.film.initial_release_date): links to type Date/Time, part of Film schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film

[Assistant]
From the examples, I see that the property for the initial release date of a film is fb:film.film.initial_release_date and the property linking an actor to a film is fb:film.actor.film.

Next, I will search for the entity "Taylor Swift" in the freebase knowledge graph to get her identifier. Then I will use that identifier to find the film she acted in that was released on 2009-04-08.

[Tool]
Top 10 entity alternatives:
1. Taylor Swift, also known as Swifty, Tay, Taylor Alison Swift, T-Swizzle (fb:m.0dl567): Taylor Alison Swift is an American singer-songwriter and actress...n one million copies within the first week of their U.S release., has type Celebrity
2. Taylor Swift, also known as Taylor Swift Deluxe Edition, Taylor Swift Karaoke: Taylor Swift (fb:m.03g7rsz): Taylor Swift is the debut studio album by American singer-songwr...ecoming the album's best-charting song on the Billboard Hot 100., has type Musical Album
3. Taylor Swift (fb:m.049mz_l): has type Consumer product
4. Taylor Swift (fb:m.03xt5gq): has type Consumer product
5. Taylor Swift (fb:m.03fqskt): has type Consumer product
6. Taylor Swift (fb:m.0dmynr2): has type Consumer product
7. Taylor Swift (fb:m.0x7vk80): has type Consumer product
8. Taylor Swift (fb:m.07yg7sm): Live from New York, it's... Kristen Wiig!  Sketches include "Fox...."  Taylor Swift performed "You Belong To Me" and "Untouchable.", has type TV Episode
9. Taylor Swift (fb:m.01359876): has type Consumer product
10. Taylor Swift (fb:m.01332b45): has type Consumer product

[Assistant] The entity for Taylor Swift as a celebrity is fb:m.0dl567. Now I will query for films that Taylor Swift acted in and that have the release date of 2009-04-08.

[Tool] Got no rows and 2 columns

[Assistant] There is no film with the exact release date 2009-04-08 that Taylor Swift acted in according to the data. I will try to search for films Taylor Swift acted in and check their release dates to see if there is a close match or if the date format might be different.

[Tool]
Got 5 rows and 3 columns:
| film                                                  | filmLabel                                   | releaseDate           |
| ----------------------------------------------------- | ------------------------------------------- | --------------------- |
| Jonas Brothers: The Concert Experience (fb:m.0djb8hx) | Jonas Brothers: The Concert Experience (en) | 2009-02-27 (xsd:date) |
| Hannah Montana: The Movie (fb:m.02x3lt7)              | Hannah Montana: The Movie (en)              | 2009-04-08 (xsd:date) |
| Valentine's Day (fb:m.06_wqk4)                        | Valentine's Day (en)                        | 2010-02-08 (xsd:date) |
| The Lorax (fb:m.087wc7n)                              | The Lorax (en)                              | 2012-03-01 (xsd:date) |
| The Giver (fb:m.0dx5q8)                               | The Giver (en)                              | 2014-08-11 (xsd:date) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The system correctly identified the film that Taylor Swift acted in which was released on 2009-04-08 as "Hannah Montana: The Movie." The SPARQL query is well-formed, retrieves the relevant films with their release dates, and filters by the actor Taylor Swift. The answer matches the release date specified in the question. The query also includes optional labels for readability. No further refinement is necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?film ?filmLabel WHERE {
  fb:m.07ldhs fb:film.actor.film ?performance .
  ?performance fb:film.performance.film ?film .
  ?film fb:film.film.initial_release_date ?releaseDate .
  OPTIONAL {
    ?film rdfs:label ?filmLabel FILTER ( lang( ?filmLabel ) = "en" )
  }
}
ORDER BY DESC ( ?releaseDate )
LIMIT 1

The film starring Taylor Lautner that was released most recently is "Tracers."

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

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

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

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

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

[User] Which of the films starring Taylor Lautner was released most recently?

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

[Tool]
Example 1:
Question:
Which film starring Taylor Lautner was released most recently?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07ldhs ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07ldhs fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:film.film.initial_release_date ?num .
}
ORDER BY DESC ( ?num )
LIMIT 1

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

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Initial release date (fb:film.film.initial_release_date): links to type Date/Time, part of Film schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film

Example 2:
Question:
Which of Taylor Lautner's films was released most recently?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07ldhs ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07ldhs fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:film.film.initial_release_date ?num .
}
ORDER BY DESC ( ?num )
LIMIT 1

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

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Initial release date (fb:film.film.initial_release_date): links to type Date/Time, part of Film schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film

Example 3:
Question:
What is the most recent film released ot feature Taylor Lautner?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07ldhs ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07ldhs fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:film.film.initial_release_date ?num .
}
ORDER BY DESC ( ?num )
LIMIT 1

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

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Initial release date (fb:film.film.initial_release_date): links to type Date/Time, part of Film schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film

[Assistant]
From the similar examples, I see that Taylor Lautner is identified by the entity fb:m.07ldhs. The property fb:film.actor.film links an actor to their film performances, and fb:film.performance.film links a film performance to the film. The property fb:film.film.initial_release_date gives the release date of the film. The query orders the films by release date in descending order and limits the result to 1 to get the most recent film.

I will now execute a similar query to find the most recently released film starring Taylor Lautner.

[Tool]
Got 1 row and 2 columns:
| film                   | filmLabel    |
| ---------------------- | ------------ |
| Tracers (fb:m.0ngj__s) | Tracers (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the films starring Taylor Lautner and orders them by their initial release date in descending order, limiting the result to the most recent film. The answer 'Tracers' matches the query result. The query uses appropriate properties and entities, and includes an optional label retrieval in English. The output is correct and complete.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?religion ?religionLabel WHERE {
  fb:m.0jdd fb:location.statistical_region.religions ?religionPercentage .
  ?religionPercentage fb:location.religion_percentage.religion ?religion .
  OPTIONAL {
    ?religion rdfs:label ?religionLabel .
    FILTER ( lang( ?religionLabel ) = "en" )
  }
}

Got 2 rows and 2 columns:
| religion                 | religionLabel    |
| ------------------------ | ---------------- |
| Shia Islam (fb:m.06pq6)  | Shia Islam (en)  |
| Sunni Islam (fb:m.078tg) | Sunni Islam (en) |

The religions practiced where Abdul Rahim Hatif has jurisdiction (Afghanistan) are Shia Islam and Sunni Islam.

[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 religion is practiced where Abdul Rahim Hatif has jurisdiction?

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

[Tool]
Example 1:
Question:
What type of government is used where the governmental officer named Abdul Rahim hold office?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:government.governmental_jurisdiction.governing_officials ?k .
  ?k fb:government.government_position_held.office_holder fb:m.08v3_f .
  ?c fb:location.country.form_of_government ?x .
}

Using entities:
Abdul Rahim Hatif (fb:m.08v3_f): Abdul Rahim Hatif was a Senior Teacher of Kandahar. He served as...t into exile in the Netherlands where he died on 19 August 2013., has type Politician

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

Example 2:
Question:
What are major religions in the country with Ministry of Justice?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:government.governmental_jurisdiction.governing_officials ?k .
  ?k fb:government.government_position_held.office_position_or_title fb:m.0j7k_yv .
  ?c fb:location.statistical_region.religions ?y .
  ?y fb:location.religion_percentage.religion ?x .
}

Using entities:
Ministry of Justice (fb:m.0j7k_yv): Ministry of Justice of Russia is the central government body cha... of Russia. The current Justice Minister is Alexander Konovalov., has type Government Office or Title

Using properties:
Office, position, or title (fb:government.government_position_held.office_position_or_title): links to type Government Office or Title, part of Government Position Held schema
Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held
Religion (fb:location.religion_percentage.religion): part of Religion percentage schema, links to type Religion
Religions (fb:location.statistical_region.religions): links to type Religion percentage, part of Statistical region schema

Example 3:
Question:
Which two religions are in the governmental jurisdiction of the government that has the position title, Ministry of Justice?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:government.governmental_jurisdiction.governing_officials ?k .
  ?k fb:government.government_position_held.office_position_or_title fb:m.0j7k_yv .
  ?c fb:location.statistical_region.religions ?y .
  ?y fb:location.religion_percentage.religion ?x .
}

Using entities:
Ministry of Justice (fb:m.0j7k_yv): Ministry of Justice of Russia is the central government body cha... of Russia. The current Justice Minister is Alexander Konovalov., has type Government Office or Title

Using properties:
Office, position, or title (fb:government.government_position_held.office_position_or_title): links to type Government Office or Title, part of Government Position Held schema
Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held
Religion (fb:location.religion_percentage.religion): part of Religion percentage schema, links to type Religion
Religions (fb:location.statistical_region.religions): links to type Religion percentage, part of Statistical region schema

[Assistant]
From the examples, it appears that the approach to answer the question "What religion is practiced where Abdul Rahim Hatif has jurisdiction?" involves:

1. Identifying the governmental jurisdiction where Abdul Rahim Hatif has jurisdiction.
2. Finding the religions practiced in that jurisdiction.

The relevant properties seem to be:
- fb:government.governmental_jurisdiction.governing_officials (to find the jurisdiction where Abdul Rahim Hatif has jurisdiction)
- fb:location.statistical_region.religions (to find the religions in that jurisdiction)
- fb:location.religion_percentage.religion (to get the specific religion)

Next, I will search for the entity Abdul Rahim Hatif in the knowledge graph to get its identifier.

[Tool]
Top 10 entity alternatives:
1. Abdul Rahim Hatif (fb:m.08v3_f): Abdul Rahim Hatif was a Senior Teacher of Kandahar. He served as...t into exile in the Netherlands where he died on 19 August 2013., has type Politician
2. Abdul Rahim, also known as Abdul (fb:m.0y83v8x): Abdul Rahim is a film art director., has type Award Winner
3. Abdul Rahim (fb:m.0gky4yf): Abdul Rahim was an Indian politician of the Indian National Cong...a member of the Rajya Sabha from April 3, 1958 to April 2, 1962., has type Deceased Person
4. Abdul Rahim, also known as Abdul (fb:m.0n316dt): Abdul Rahim is a film art director., has type Film art director
5. Abdul Rahim (fb:m.06w64f7): Engineer Abdul Rahim was appointed the Afghan Communications Min...appointed the Cabinet of the Afghan Transitional Administration., has type Person
6. Abdul Rahim (fb:m.0_xwpww): Abdul Rahim is a fictional character from the 1954 film Malaikallan., has type Film character
7. Abdul Rahim (fb:m.0hhh725): Abdul Rahim is a fictional character from the film Premer Taj Mahal., has type Film character
8. Abdul Rahim (fb:m.011d9300): Abdul Rahim is a fictional character from the 1999 film The Godman., has type Film character
9. Abdul Rahim (fb:m.09v0njn): has type Person
10. Abdul Rahim (fb:m.012vy6wp): Abdul Rahim was an Afghanistan athlete, who specialised in the s...mes in the shot put but failed to reach the qualifying distance.

[Assistant] I found the entity Abdul Rahim Hatif with the identifier fb:m.08v3_f. Next, I will query the governmental jurisdiction where Abdul Rahim Hatif has jurisdiction and then find the religions practiced in that jurisdiction.

[Tool] Got no rows and 2 columns

[Assistant] There are no direct results for governmental jurisdictions where Abdul Rahim Hatif has jurisdiction using the property fb:government.governmental_jurisdiction.governing_officials. I will try to find properties related to Abdul Rahim Hatif to see if there is an alternative property that links him to a jurisdiction.

[Tool]
Top 10 property alternatives:
1. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
2. Profession (fb:people.person.profession): links to type Profession, part of Person schema
3. Place of death (fb:people.deceased_person.place_of_death): part of Deceased Person schema, links to type Location
4. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
5. Place of burial (fb:people.deceased_person.place_of_burial): links to type Place of interment, part of Deceased Person schema
6. Type (fb:type.object.type): part of Object schema, links to type Type
7. Key (fb:type.object.key): part of Object schema, links to type Key
8. Government Positions Held (fb:government.politician.government_positions_held): links to type Government Position Held, part of Politician schema
9. Description (fb:common.topic.description): part of Topic schema, links to type Text
10. Gender (fb:people.person.gender): part of Person schema, links to type Gender

No other items found

[Assistant]
There is no direct property linking Abdul Rahim Hatif to a governmental jurisdiction. However, there is a property "Government Positions Held" (fb:government.politician.government_positions_held) which might help us find the government position he held. From there, we might find the jurisdiction.

I will now query the government positions held by Abdul Rahim Hatif.

[Tool]
Got 1 row and 2 columns:
| position      | positionLabel |
| ------------- | ------------- |
| fb:m.010hsqz2 |               |

[Assistant] Abdul Rahim Hatif held a government position with the identifier fb:m.010hsqz2. I will now check the details of this government position to find the jurisdiction it belongs to.

[Tool]
Got 8 rows and 3 columns:
| subject       | property                                                                                | object                                                            |
| ------------- | -------------------------------------------------------------------------------------------- | ----------------------------------------------------------------- |
| fb:m.010hsqz2 | Type (fb:type.object.type)                                                                   | Government Position Held (fb:government.government_position_held) |
| fb:m.010hsqz2 | Officeholder (fb:government.government_position_held.office_holder)                          | Abdul Rahim Hatif (fb:m.08v3_f)                                   |
| fb:m.010hsqz2 | From (fb:government.government_position_held.from)                                           | 1992-04-16 (xsd:date)                                             |
| fb:m.010hsqz2 | Office, position, or title (fb:government.government_position_held.office_position_or_title) | President of Afghanistan (fb:m.01xf1v)                            |
| fb:m.010hsqz2 | Basic title (fb:government.government_position_held.basic_title)                             | President (fb:m.060c4)                                            |
| fb:m.010hsqz2 | Jurisdiction of office (fb:government.government_position_held.jurisdiction_of_office)       | Afghanistan (fb:m.0jdd)                                           |
| fb:m.010hsqz2 | To (fb:government.government_position_held.to)                                               | 1992-04-28 (xsd:date)                                             |
| fb:m.010hsqz2 | rdf:type                                                                                | Government Position Held (fb:government.government_position_held) |

[Assistant] The government position held by Abdul Rahim Hatif has the jurisdiction Afghanistan (fb:m.0jdd). Now, I will query the religions practiced in Afghanistan.

[Tool]
Got 2 rows and 2 columns:
| religion                 | religionLabel    |
| ------------------------ | ---------------- |
| Shia Islam (fb:m.06pq6)  | Shia Islam (en)  |
| Sunni Islam (fb:m.078tg) | Sunni Islam (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The answer correctly identifies the religions practiced in the jurisdiction of Abdul Rahim Hatif, which is Afghanistan, as Shia Islam and Sunni Islam. The SPARQL query properly retrieves the religions associated with Afghanistan using the relevant properties and entities. The query results match the provided answer, and the labels are included as optional for readability. The response is complete and accurate.