PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?country ?countryLabel WHERE {
  fb:m.05zjd fb:language.human_language.countries_spoken_in ?country .
  ?country fb:topic_server.population_number "10005000" .
  OPTIONAL {
    ?country rdfs:label ?countryLabel .
    FILTER ( lang( ?countryLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| country               | countryLabel  |
| --------------------- | ------------- |
| Portugal (fb:m.05r4w) | Portugal (en) |

The country with a population of 10,005,000 that speaks Portuguese is Portugal.

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

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

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

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

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

[User] Which country with a population of 10,005,000 speaks Portuguese?

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

[Tool]
Example 1:
Question:
What is the largest country in the world to have a Portuguese speaking population?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.05zjd ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.05zjd fb:language.human_language.countries_spoken_in ?x .
  ?x fb:topic_server.population_number ?num .
}
ORDER BY DESC ( xsd:integer ( ?num ) )
LIMIT 1

Using entities:
Portuguese Language, also known as Portugese, Português, Portuguese, Portuguese language (fb:m.05zjd): Portuguese is a Romance language and the sole official language ... and is an official language of the European Union and Mercosul., has type Human Language

Using properties:
Spoken in countries (fb:language.human_language.countries_spoken_in): part of Human Language schema, links to type Country

Example 2:
Question:
What area with a population of 10019610 speaks Portuguese?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.05zjd ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.05zjd fb:language.human_language.countries_spoken_in ?x .
  ?x fb:topic_server.population_number "10019610" .
}

Using entities:
Portuguese Language, also known as Portugese, Português, Portuguese, Portuguese language (fb:m.05zjd): Portuguese is a Romance language and the sole official language ... and is an official language of the European Union and Mercosul., has type Human Language

Using properties:
Spoken in countries (fb:language.human_language.countries_spoken_in): part of Human Language schema, links to type Country

Example 3:
Question:
What country with ISO number of 020 speaks Portuguese?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.05zjd ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.05zjd fb:language.human_language.countries_spoken_in ?x .
  ?x fb:location.country.iso_numeric "020" .
}

Using entities:
Portuguese Language, also known as Portugese, Português, Portuguese, Portuguese language (fb:m.05zjd): Portuguese is a Romance language and the sole official language ... and is an official language of the European Union and Mercosul., has type Human Language

Using properties:
Spoken in countries (fb:language.human_language.countries_spoken_in): part of Human Language schema, links to type Country
ISO Numeric (fb:location.country.iso_numeric): links to type Enumeration, part of Country schema

[Assistant]
From the examples, I see that the Portuguese language entity is fb:m.05zjd and the property for countries where a language is spoken is fb:language.human_language.countries_spoken_in. The population property is fb:topic_server.population_number.

I will now write a SPARQL query to find the country with a population of 10,005,000 that speaks Portuguese.

[Tool]
Got 1 row and 2 columns:
| country               | countryLabel  |
| --------------------- | ------------- |
| Portugal (fb:m.05r4w) | Portugal (en) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?college WHERE {
  ?actor fb:film.actor.film ?filmPerformance .
  ?filmPerformance fb:film.performance.character fb:m.0h2rmwk .
  ?actor fb:people.person.education ?education .
  ?education fb:education.education.institution ?college .
  ?college fb:common.topic.notable_types fb:m.01y2hnl .
}
LIMIT 10

The actor that played Hark Hanson attended Ohio University.

[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] The actor that played Hark Hanson attended which college?

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

[Tool]
Example 1:
Question:
What college was attended by the actor who was known for playing the character Flack?

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.0kb5p9c .
  ?c fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?y fb:education.education.degree fb:m.02h4rq6 .
  ?x fb:common.topic.notable_types fb:m.01y2hnl .
}

Using entities:
College/University, also known as College, University (fb:m.01y2hnl): The College/University type is used for institutions that offer ...mation, please see the Freebase wiki page on College/University.
Bachelor of Science, also known as B.Sc., Scientiæ Baccalaureus, Sc.B., S.B., BSc. (fb:m.02h4rq6): A Bachelor of Science or a Science Degree is an undergraduate ac...In both instances, there are historical and traditional reasons., has type Degree
Flack (fb:m.0kb5p9c): Flack is a fictional character from 2013 film The Smurfs 2., has type Film character

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Degree (fb:education.education.degree): part of Education schema, links to type Degree
Institution (fb:education.education.institution): links to type Educational Institution, part of Education schema
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
Education (fb:people.person.education): links to type Education, part of Person schema

Example 2:
Question:
Which is the college that the actor who played Iceberg Shorty graduated from?

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.0ngmlvh .
  ?c fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?y fb:education.education.degree fb:m.02h4rq6 .
  ?x fb:common.topic.notable_types fb:m.01y2hnl .
}

Using entities:
College/University, also known as College, University (fb:m.01y2hnl): The College/University type is used for institutions that offer ...mation, please see the Freebase wiki page on College/University.
Bachelor of Science, also known as B.Sc., Scientiæ Baccalaureus, Sc.B., S.B., BSc. (fb:m.02h4rq6): A Bachelor of Science or a Science Degree is an undergraduate ac...In both instances, there are historical and traditional reasons., has type Degree
Iceberg Shorty (fb:m.0ngmlvh): Iceberg Shorty is a fictional character from the film Baller Blockin'., has type Film character

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Degree (fb:education.education.degree): part of Education schema, links to type Degree
Institution (fb:education.education.institution): links to type Educational Institution, part of Education schema
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
Education (fb:people.person.education): links to type Education, part of Person schema

Example 3:
Question:
What High School did the actor featured as Dave Douglas attend?

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.05nl881 .
  ?c fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:common.topic.notable_types fb:m.01y2hn6 .
}

Using entities:
School, also known as elementary school, middle school, grammar school, high school (fb:m.01y2hn6): A school is an institution that provides education below the ter...r more information, please see the Freebase wiki page on School.
Dave Douglas (fb:m.05nl881): Dave Douglas is a fictional character from the 2006 film The Shaggy Dog., has type Film character

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Institution (fb:education.education.institution): links to type Educational Institution, part of Education schema
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
Education (fb:people.person.education): links to type Education, part of Person schema

[Assistant]
From the examples, the approach to answer the question "The actor that played Hark Hanson attended which college?" is to:
1. Find the film performance where the character is Hark Hanson.
2. Find the actor who played that character.
3. Find the education information of that actor.
4. Find the institution (college) attended by that actor.

Next, I will search for the entity "Hark Hanson" to get its identifier in Freebase.

[Tool]
Top 10 entity alternatives:
1. Hark Hanson (fb:m.0h2rmwk): Hark Hanson is a fictional character from the 2009 film Curious George 2: Follow That Monkey!, has type Film character
2. Hanson, also known as Zac Hanson, Hanson (Dj Three Meter Peter) (fb:m.0px6z): Hanson is an American band from Tulsa, Oklahoma formed by brothe...n the UK. The band now records under its own label, 3CG Records., has type Musical Artist
3. Hanson, also known as Hanson, Kentucky, Hopkins County / Hanson city (fb:m.0tf5q): Hanson is a 6th-class city in Hopkins County, Kentucky, in the U...ly power to Hanson residents are Kentucky Utilities and Kenergy., has type City/Town/Village
4. Taylor Hanson, also known as Tay Hanson, Jordon Taylor Hanson, Hanson (fb:m.04d27kq): Jordan Taylor Hanson is an American musician best known as a mem... piano. He is also the lead singer of supergroup Tinted Windows., has type Composer
5. Zac Hanson, also known as Zachary Walker "Zac" Hanson, Zachary Walker Hanson, Zachary Hanson, Zac, ProZac (fb:m.04d2cnv): Zachary Walker "Zac" Hanson is an American musician, best known ...He was the lead singer on "Go", the second single from The Walk., has type Composer
6. Isaac Hanson, also known as Ike, Ike Hanson, Hanson, Isaac, Hanson, Clark Isaac Hanson (fb:m.025tnzw): Clarke Isaac Hanson is an American musician best known as a memb...c and acoustic guitar, as well as the piano, bass and the synth., has type Composer
7. Hanson, also known as Hanson, Massachusetts (fb:m.01m8b1): Hanson is a town in Plymouth County, Massachusetts, United States. The population was 10,209 at the 2010 census., has type City/Town/Village
8. Hanson plc, also known as Hanson (fb:m.05ww1x): Hanson plc is a British-based international building materials c...d by a division of German rival HeidelbergCement in August 2007., has type Business Operation
9. Hanson, also known as Hanson, Massachusetts, Plymouth County / Hanson CDP (fb:m.01m89q): Hanson is a census-designated place (CDP) in the town of Hanson ...tts, United States. The population was 2,118 at the 2010 census., has type US Census Designated Place
10. Hark (fb:m.0w1trd_): Hark is a 2012 short drama film written by Benjamin Enos and directed by Jonathan Fung., has type Film

[Assistant] I found the entity for Hark Hanson as a film character with the identifier fb:m.0h2rmwk. Now I will construct a SPARQL query to find the college attended by the actor who played Hark Hanson using the approach from the examples.

[Tool]
Got 1 row and 1 column:
| college                       |
| ----------------------------- |
| Ohio University (fb:m.02fy0z) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?film ?filmLabel WHERE {
  fb:m.0pz91 fb:film.actor.film ?performance .
  ?performance fb:film.performance.film ?film .
  ?film rdfs:label ?filmLabel .
  FILTER ( LANG( ?filmLabel ) = "en" )
}
LIMIT 50

Got 50 rows and 2 columns, showing the first 5 and last 5 rows below:
| film                                 | filmLabel                  |
| ------------------------------------ | -------------------------- |
| Pixels (fb:m.010rdrd1)               | Pixels (en)                |
| Hotel Transylvania 2 (fb:m.0118fw_v) | Hotel Transylvania 2 (en)  |
| The Ridiculous Six (fb:m.012z_7zt)   | The Ridiculous Six (en)    |
| The Hot Chick (fb:m.01h3y_)          | The Hot Chick (en)         |
| The Waterboy (fb:m.01x_hw)           | The Waterboy (en)          |
| ...                                  | ...                        |
| Grown Ups 2 (fb:m.0mzt5cs)           | Grown Ups 2 (en)           |
| Blended (fb:m.0v_ckgv)               | Blended (en)               |
| Blossoms & Blood (fb:m.0w7c5jm)      | Blossoms & Blood (en)      |
| Couch (fb:m.0w7c7c3)                 | Couch (en)                 |
| Men, Women & Children (fb:m.0zrq8j3) | Men, Women & Children (en) |

Here are some movies that Adam Sandler starred in: Pixels, Hotel Transylvania 2, The Ridiculous Six, The Hot Chick, The Waterboy, Grown Ups 2, Blended, Blossoms & Blood, Couch, Men, Women & Children, and more.

[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 are movies that Adam Sandler from Saturday Night Live: The Best of Adam Sandler starred in?

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

[Tool]
Example 1:
Question:
What did the actor that played in the film Saturday Night Live: The Best of Adam Sandler do?

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.film fb:m.0jwnx61 .
  ?c fb:people.person.profession ?x .
}

Using entities:
Saturday Night Live: The Best of Adam Sandler (fb:m.0jwnx61): Saturday Night Live: The Best of Adam Sandler is a compilation o...els on American TV network NBC.  It was released on DVD in 1999., has type Film

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film
Profession (fb:people.person.profession): links to type Profession, part of Person schema

Example 2:
Question:
What movie starring Chris Farley that is based on a character in Saturday Night Live?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.012801 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.012801 fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:media_common.netflix_title.netflix_genres fb:m.039cq4 .
}

Using entities:
Chris Farley, also known as Christopher Crosby "Chris" Farley, Christopher Crosby Farley (fb:m.012801): Christopher Crosby "Chris" Farley was an American comedian and a...97, Farley died as a result of a drug overdose at the age of 33., has type Film actor
Saturday Night Live, also known as NBC's Saturday Night (1975–1977), Saturday Night Live '80 (1980), SNL (fb:m.039cq4): Saturday Night Live is an American late-night live television sk... in film and television, both in front of and behind the camera., has type TV Program

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film
Netflix Genres (fb:media_common.netflix_title.netflix_genres): part of Netflix Title schema, links to type Netflix Genre

Example 3:
Question:
What is Adam Sandler, and also the subject of the movie "Toto in Color"?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0pz91 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0pz91 fb:people.person.profession ?x .
  ?x fb:film.film_subject.films fb:m.03ccxzk .
}

Using entities:
Toto in Color, also known as Totò a colori (fb:m.03ccxzk): Totò a colori is a 1952 Italian film, and was the first Italian ...ce the show is over, his body collapses just like a dead puppet., has type Film
Adam Sandler, also known as Adam Richard Sandler, Sandman (fb:m.0pz91): Adam Richard Sandler is an American actor, comedian, screenwrite...developed the 2007 television sitcom series Rules of Engagement., has type Celebrity

Using properties:
Films On This Subject (fb:film.film_subject.films): part of Film subject schema, links to type Film
Profession (fb:people.person.profession): links to type Profession, part of Person schema

[Assistant] From the examples, I see that Adam Sandler is identified as fb:m.0pz91 in Freebase. 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 itself. I will now construct a query to find movies that Adam Sandler starred in.

[Tool]
Got 50 rows and 2 columns, showing the first 5 and last 5 rows below:
| film                        | filmLabel          |
| --------------------------- | ------------------ |
| Pixels (fb:m.010rdrd1)      | Pixels (en)        |
| Pixels (fb:m.010rdrd1)      | Pixels (es)        |
| Pixels (fb:m.010rdrd1)      | Pixels (fi)        |
| Pixels (fb:m.010rdrd1)      | Pixels (fr)        |
| Pixels (fb:m.010rdrd1)      | Pixels (id)        |
| ...                         | ...                |
| The Hot Chick (fb:m.01h3y_) | The Hot Chick (id) |
| The Hot Chick (fb:m.01h3y_) | The Hot Chick (ms) |
| The Hot Chick (fb:m.01h3y_) | The Hot Chick (nl) |
| The Hot Chick (fb:m.01h3y_) | The Hot Chick (no) |
| The Hot Chick (fb:m.01h3y_) | The Hot Chick (sv) |

[Assistant] I found movies that Adam Sandler starred in, but the labels are in multiple languages. I will refine the query to get only English labels and remove duplicates.

[Tool]
Got 50 rows and 2 columns, showing the first 5 and last 5 rows below:
| film                                 | filmLabel                  |
| ------------------------------------ | -------------------------- |
| Pixels (fb:m.010rdrd1)               | Pixels (en)                |
| Hotel Transylvania 2 (fb:m.0118fw_v) | Hotel Transylvania 2 (en)  |
| The Ridiculous Six (fb:m.012z_7zt)   | The Ridiculous Six (en)    |
| The Hot Chick (fb:m.01h3y_)          | The Hot Chick (en)         |
| The Waterboy (fb:m.01x_hw)           | The Waterboy (en)          |
| ...                                  | ...                        |
| Grown Ups 2 (fb:m.0mzt5cs)           | Grown Ups 2 (en)           |
| Blended (fb:m.0v_ckgv)               | Blended (en)               |
| Blossoms & Blood (fb:m.0w7c5jm)      | Blossoms & Blood (en)      |
| Couch (fb:m.0w7c7c3)                 | Couch (en)                 |
| Men, Women & Children (fb:m.0zrq8j3) | Men, Women & Children (en) |

[Assistant] I have retrieved a list of movies that Adam Sandler starred in with their English labels. Now I will finalize the answer with the list of these movies.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?president ?presidentName ?speaker ?speakerName WHERE {
  fb:m.081pw fb:time.event.start_date ?start ; fb:time.event.end_date ?end .
  ?president fb:government.politician.government_positions_held ?pos1 .
  ?pos1 fb:government.government_position_held.office_position_or_title fb:m.060d2 ; fb:government.government_position_held.from ?from1 ; fb:government.government_position_held.to ?to1 .
  FILTER ( ?from1 < ?end && ?to1 > ?start ) OPTIONAL {
    ?president rdfs:label ?presidentName
  }
  ?speaker fb:event.public_speaker.speeches_or_presentations ?speech .
  ?speech fb:event.speech_or_presentation.event fb:m.07wm42 .
  ?speaker fb:government.politician.government_positions_held ?pos2 .
  ?pos2 fb:government.government_position_held.from ?from2 ; fb:government.government_position_held.to ?to2 .
  FILTER ( ?from2 < ?end && ?to2 > ?start ) OPTIONAL {
    ?speaker rdfs:label ?speakerName
  }
}
LIMIT 10

Got 10 rows and 4 columns:
| president                          | presidentName                  | speaker                            | speakerName                    |
| ---------------------------------- | ------------------------------ | ---------------------------------- | ------------------------------ |
| Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (ca) | Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (ca) |
| Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (ca) | Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (cs) |
| Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (ca) | Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (et) |
| Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (ca) | Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (fr) |
| Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (ca) | Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (hr) |
| Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (ca) | Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (id) |
| Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (ca) | Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (it) |
| Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (ca) | Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (ms) |
| Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (ca) | Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (nl) |
| Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (ca) | Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (pl) |

During World War II, the president of the United States was Franklin D. Roosevelt, and he was also the speaker at the Joint Session of the US Congress.

[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] During WW2, who was the president of the US and who was the speaker at the Joint Session of the US Congress?

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

[Tool]
Example 1:
Question:
Who was the speaker in Joint Session of the United States Congress and subsequent President of the United States during World War 2?

SPARQL:
SELECT DISTINCT ?x WHERE {
  fb:m.081pw fb:time.event.start_date ?start ; fb:time.event.end_date ?end .
  ?x fb:government.politician.government_positions_held ?y .
  ?y fb:government.government_position_held.office_position_or_title fb:m.060d2 ; fb:government.government_position_held.from ?from ; fb:government.government_position_held.to ?to .
  FILTER ( ?from < ?end ) FILTER ( ?to > ?start ) ?x fb:event.public_speaker.speeches_or_presentations ?c .
  ?c fb:event.speech_or_presentation.event fb:m.07wm42 .
}

Using entities:
President of the United States, also known as Commander in Chief, President of the United States of America (fb:m.060d2): The President of the United States of America is the elected hea...er or both houses of Congress under extraordinary circumstances., has type Government Office or Title
Joint session of the United States Congress (fb:m.07wm42): Joint sessions of the United States Congress are the gatherings ... Vice President to preside over the counting of electoral votes., has type Public speaking event
World War II, also known as The Second World War, WWII, WW2, World War 2, World War, 1939-1945 (fb:m.081pw): World War II, also known as the Second World War, was a global w...declarations of war on Germany by France and the United Kingdom., has type Military Conflict

Using properties:
Speeches or presentations (fb:event.public_speaker.speeches_or_presentations): links to type Speech or presentation, part of Public speaker schema
Event (fb:event.speech_or_presentation.event): part of Speech or presentation schema, links to type Public speaking event
From (fb:government.government_position_held.from): part of Government Position Held schema, links to type Date/Time
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
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
End date (fb:time.event.end_date): links to type Date/Time, part of Event schema
Start date (fb:time.event.start_date): links to type Date/Time, part of Event schema

Example 2:
Question:
Who was the President of these United States during WWII?

SPARQL:
SELECT DISTINCT ?x WHERE {
  fb:m.081pw fb:time.event.start_date ?start ; fb:time.event.end_date ?end .
  ?x fb:government.politician.government_positions_held ?y .
  ?y fb:government.government_position_held.office_position_or_title fb:m.060d2 ; fb:government.government_position_held.from ?from ; fb:government.government_position_held.to ?to .
  FILTER ( ?from < ?end ) FILTER ( ?to > ?start ) ?x fb:government.politician.government_positions_held ?c .
  ?c fb:government.government_position_held.from ?num .
}
ORDER BY ?num
LIMIT 1

Using entities:
President of the United States, also known as Commander in Chief, President of the United States of America (fb:m.060d2): The President of the United States of America is the elected hea...er or both houses of Congress under extraordinary circumstances., has type Government Office or Title
World War II, also known as The Second World War, WWII, WW2, World War 2, World War, 1939-1945 (fb:m.081pw): World War II, also known as the Second World War, was a global w...declarations of war on Germany by France and the United Kingdom., has type Military Conflict

Using properties:
From (fb:government.government_position_held.from): part of Government Position Held schema, links to type Date/Time
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
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
End date (fb:time.event.end_date): links to type Date/Time, part of Event schema
Start date (fb:time.event.start_date): links to type Date/Time, part of Event schema

Example 3:
Question:
Who was the President of the USA during WWII and was also a member of the Episcopal Church?

SPARQL:
SELECT DISTINCT ?x WHERE {
  fb:m.081pw fb:time.event.start_date ?start ; fb:time.event.end_date ?end .
  ?x fb:government.politician.government_positions_held ?y .
  ?y fb:government.government_position_held.office_position_or_title fb:m.060d2 ; fb:government.government_position_held.from ?from ; fb:government.government_position_held.to ?to .
  FILTER ( ?from < ?end ) FILTER ( ?to > ?start ) ?x fb:people.person.religion fb:m.02rsw .
}

Using entities:
Episcopal Church, also known as The Protestant Episcopal Church in the United States of America, Protestant Episcopal Church, PECUSA (fb:m.02rsw): The Episcopal Church, less commonly known by its other official ...logy are found in the 1979 edition of the Book of Common Prayer., The designation "Protestant Episcopalian" includes, besides the ...l Church of Scotland" and any other Protestant Episcopal Church., The Episcopal Church is a denomination of Anglicanism., has type Religious Organization
President of the United States, also known as Commander in Chief, President of the United States of America (fb:m.060d2): The President of the United States of America is the elected hea...er or both houses of Congress under extraordinary circumstances., has type Government Office or Title
World War II, also known as The Second World War, WWII, WW2, World War 2, World War, 1939-1945 (fb:m.081pw): World War II, also known as the Second World War, was a global w...declarations of war on Germany by France and the United Kingdom., has type Military Conflict

Using properties:
From (fb:government.government_position_held.from): part of Government Position Held schema, links to type Date/Time
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
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
Religion (fb:people.person.religion): links to type Religion, part of Person schema
End date (fb:time.event.end_date): links to type Date/Time, part of Event schema
Start date (fb:time.event.start_date): links to type Date/Time, part of Event schema

[Assistant]
From the similar examples, I see that the entity for World War II is fb:m.081pw, the entity for President of the United States is fb:m.060d2, and the entity for Joint Session of the United States Congress is fb:m.07wm42. The properties used to find the time period of the event are fb:time.event.start_date and fb:time.event.end_date. The properties to find government positions held are fb:government.politician.government_positions_held and fb:government.government_position_held.office_position_or_title. The property for speeches or presentations is fb:event.public_speaker.speeches_or_presentations.

I will now construct a SPARQL query to find the president of the US during WW2 and the speaker at the Joint Session of the US Congress during the same period.

[Tool]
Got 10 rows and 4 columns:
| president                          | presidentName                  | speaker                            | speakerName                    |
| ---------------------------------- | ------------------------------ | ---------------------------------- | ------------------------------ |
| Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (ca) | Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (ca) |
| Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (ca) | Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (cs) |
| Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (ca) | Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (et) |
| Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (ca) | Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (fr) |
| Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (ca) | Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (hr) |
| Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (ca) | Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (id) |
| Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (ca) | Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (it) |
| Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (ca) | Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (ms) |
| Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (ca) | Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (nl) |
| Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (ca) | Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (pl) |

[Assistant]
The query results show that during World War II, Franklin D. Roosevelt was both the president of the United States and the speaker at the Joint Session of the US Congress. The results contain multiple language labels for Franklin D. Roosevelt, but they all refer to the same person.

I will now provide the final answer.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?college WHERE {
  fb:m.09bg4l fb:people.person.education ?education .
  ?education fb:education.education.institution ?college .
  ?college fb:education.educational_institution.sports_teams fb:m.02pkpvh .
}

Harry S. Truman attended the University of Missouri–Kansas City, which has the men's basketball sports team named UMKC Kangaroos.

[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 college with men's basketball sports team named UMKC Kangaroos did Harry S. Truman attend?

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

[Tool]
Example 1:
Question:
Which university with men's basketball sports team named UMKC Kangaroos did Harry S. Truman go to?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.09bg4l ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.09bg4l fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:education.educational_institution.sports_teams fb:m.02pkpvh .
}

Using entities:
UMKC Kangaroos men's basketball (fb:m.02pkpvh): The UMKC Kangaroos Basketball team is the basketball team that r...a brief stint of playing on campus at Swinney Recreation Center., has type Basketball Team
Harry S. Truman, also known as The Man From Missouri, President Harry S Truman, President Truman, President Harry Truman, President Harry S. Truman (fb:m.09bg4l): Harry S. Truman was the 33rd President of the United States. As ...r with Imperial Japan was expected to last another year or more., Harry S. Truman is an author., has type US President

Using properties:
Institution (fb:education.education.institution): links to type Educational Institution, part of Education schema
Sports teams (fb:education.educational_institution.sports_teams): part of Educational Institution schema, links to type School sports team
Education (fb:people.person.education): links to type Education, part of Person schema

Example 2:
Question:
Which school with a headquarters in Kansas City did Harry S. Truman attend?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.09bg4l ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.09bg4l fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:organization.organization.headquarters ?c .
  ?c fb:location.mailing_address.citytown fb:m.04f_d .
}

Using entities:
Kansas City, also known as Kansas City, Missouri, Platte County / Kansas City city (fb:m.04f_d): Kansas City, or K.C., is the largest city in the state of Missou...Civil War, including the Battle of Westport and Bleeding Kansas., has type City/Town/Village
Harry S. Truman, also known as The Man From Missouri, President Harry S Truman, President Truman, President Harry Truman, President Harry S. Truman (fb:m.09bg4l): Harry S. Truman was the 33rd President of the United States. As ...r with Imperial Japan was expected to last another year or more., Harry S. Truman is an author., has type US President

Using properties:
Institution (fb:education.education.institution): links to type Educational Institution, part of Education schema
City/Town (fb:location.mailing_address.citytown): links to type Location, part of Address schema
Headquarters (fb:organization.organization.headquarters): part of Organization schema, links to type Address
Education (fb:people.person.education): links to type Education, part of Person schema

Example 3:
Question:
Where with mascot Kasey the Kangaroo did Harry S. Truman go to school?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.09bg4l ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.09bg4l fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:education.educational_institution.mascot fb:m.0h6f44j .
}

Using entities:
Harry S. Truman, also known as The Man From Missouri, President Harry S Truman, President Truman, President Harry Truman, President Harry S. Truman (fb:m.09bg4l): Harry S. Truman was the 33rd President of the United States. As ...r with Imperial Japan was expected to last another year or more., Harry S. Truman is an author., has type US President
Kasey the Kangaroo (fb:m.0h6f44j): has type School mascot

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

[Assistant]
From the similar examples, I see that the entity for Harry S. Truman is fb:m.09bg4l and the property for education institution is fb:people.person.education with a nested property fb:education.education.institution. The UMKC Kangaroos men's basketball team is fb:m.02pkpvh, and the property for sports teams of an educational institution is fb:education.educational_institution.sports_teams.

I will now construct a SPARQL query to find the college that Harry S. Truman attended which has the UMKC Kangaroos men's basketball team as its sports team.

[Tool]
Got 1 row and 1 column:
| college                                          |
| ------------------------------------------------ |
| University of Missouri–Kansas City (fb:m.016vf7) |

[Tool] Stopped generation process


The knowledge graph has information that Nathan O. Kaplan was born in New York City. However, there is no entity for the person Lala Anthony with information about where she lives. The closest entity found for Lala Anthony is a TV episode, which does not have location information. Therefore, I cannot find a city that is both where Nathan O. Kaplan was and where Lala Anthony lives.

[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 city was both where Nathan O. Kaplan was both and where Lala Anthony lives?

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

[Tool]
Example 1:
Question:
What is the name of the airport in the city that Nathan O. Kaplan was born?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:location.location.people_born_here ?k .
  ?k fb:education.honorary_degree.recipient fb:m.05p62cz .
  ?c fb:travel.travel_destination.how_to_get_here ?y .
  ?y fb:travel.transportation.transport_terminus ?x .
  ?y fb:travel.transportation.mode_of_transportation fb:m.025t3bg .
  ?x fb:location.location.containedby fb:m.059rby .
}

Using entities:
Air travel (fb:m.025t3bg): Air travel is a form of travel in vehicles such as airplanes, he... - worldwide it doubled between the mid-1980s and the year 2000., has type Transportation mode
New York, also known as New York State, NY, The Empire State (fb:m.059rby): New York is a state in the Northeastern and Mid-Atlantic regions...cal gateway for immigration in the history of the United States., has type US State
Nathan O. Kaplan, also known as Nathan Kaplan, Nathan Oram Kaplan (fb:m.05p62cz): Nathan Oram Kaplan was an American biochemist who studied enzymo...he University of California was genomic researcher Craig Venter., has type Award Winner

Using properties:
Recipient (fb:education.honorary_degree.recipient): links to type Honorary Degree Recipient, part of Honorary Degree schema
Contained by (fb:location.location.containedby): part of Location schema, links to type Location
People born here (fb:location.location.people_born_here): part of Location schema, links to type Person
Mode of transportation (fb:travel.transportation.mode_of_transportation): links to type Transportation mode, part of Transportation schema
Transport terminus (fb:travel.transportation.transport_terminus): links to type Transport terminus, part of Transportation schema
How to get here (fb:travel.travel_destination.how_to_get_here): part of Travel destination schema, links to type Transportation

Example 2:
Question:
Which airports can be found in the city where Nathan O. Kaplan was born?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:location.location.people_born_here ?k .
  ?k fb:education.honorary_degree.recipient fb:m.05p62cz .
  ?c fb:travel.travel_destination.how_to_get_here ?y .
  ?y fb:travel.transportation.transport_terminus ?x .
  ?y fb:travel.transportation.mode_of_transportation fb:m.025t3bg .
}

Using entities:
Air travel (fb:m.025t3bg): Air travel is a form of travel in vehicles such as airplanes, he... - worldwide it doubled between the mid-1980s and the year 2000., has type Transportation mode
Nathan O. Kaplan, also known as Nathan Kaplan, Nathan Oram Kaplan (fb:m.05p62cz): Nathan Oram Kaplan was an American biochemist who studied enzymo...he University of California was genomic researcher Craig Venter., has type Award Winner

Using properties:
Recipient (fb:education.honorary_degree.recipient): links to type Honorary Degree Recipient, part of Honorary Degree schema
People born here (fb:location.location.people_born_here): part of Location schema, links to type Person
Mode of transportation (fb:travel.transportation.mode_of_transportation): links to type Transportation mode, part of Transportation schema
Transport terminus (fb:travel.transportation.transport_terminus): links to type Transport terminus, part of Transportation schema
How to get here (fb:travel.travel_destination.how_to_get_here): part of Travel destination schema, links to type Transportation

Example 3:
Question:
What state is the birthplace of honor degree recipient Nathan O. Kaplan?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:location.location.people_born_here ?k .
  ?k fb:education.honorary_degree.recipient fb:m.05p62cz .
  ?c fb:base.biblioness.bibs_location.state ?x .
}

Using entities:
Nathan O. Kaplan, also known as Nathan Kaplan, Nathan Oram Kaplan (fb:m.05p62cz): Nathan Oram Kaplan was an American biochemist who studied enzymo...he University of California was genomic researcher Craig Venter., has type Award Winner

Using properties:
State (fb:base.biblioness.bibs_location.state): part of Bibs Location schema, links to type Location
Recipient (fb:education.honorary_degree.recipient): links to type Honorary Degree Recipient, part of Honorary Degree schema
People born here (fb:location.location.people_born_here): part of Location schema, links to type Person

[Assistant]
From the examples, it seems that the property fb:location.location.people_born_here can be used to find the city where a person was born. We need to find the city where Nathan O. Kaplan was born (or was both, which might mean born or lived) and also the city where Lala Anthony lives.

Step 1: Find the entity IDs for Nathan O. Kaplan and Lala Anthony.
Step 2: Find the city where Nathan O. Kaplan was born or lived.
Step 3: Find the city where Lala Anthony lives.
Step 4: Find the city that is common in both results.

I will start by searching for the entities Nathan O. Kaplan and Lala Anthony.

[Tool]
Top 10 entity alternatives:
1. Nathan O. Kaplan, also known as Nathan Kaplan, Nathan Oram Kaplan (fb:m.05p62cz): Nathan Oram Kaplan was an American biochemist who studied enzymo...he University of California was genomic researcher Craig Venter., has type Award Winner
2. Nathan Kaplan (fb:m.04_ncs): "Kid Dropper" Nathan Caplin or Kaplan, also known as Jack the Dr...I period into the early years of Prohibition in the early 1920s., has type Deceased Person
3. Nathan Kaplan (fb:m.0vmvvqq): Nathan Kaplan is a teacher, composer and dentist., has type Person
4. Ori Kaplan, also known as DJ Shotnez, Kaplan, Ori (fb:m.0h76h9): Ori Kaplan is a jazz saxophonist and a music producer. He moved ...Bordello and the Balkan Beat Box. He is also known as DJ Shotnez, has type Composer
5. Nathan Outteridge, also known as Nath (fb:m.03mh9hb): Nathan Outteridge is an Australian sailor, a resident of Lake Ma...emis Racing the Challenger of Record for the 2013 America's Cup., has type Olympic athlete
6. Nathan O'Neill (fb:m.0c3_h0): Nathan O'Neill is a former Australian professional road racing cyclist., has type Cyclist
7. Nathan Oliveira, also known as Nathan J. Oliveira (fb:m.0g8zgz): Nathan Oliveira was an American painter, printmaker, and sculpto... San Jose Museum of art, and guest curated by Peter Selz opened., has type Visual Artist
8. Nathan Oystrick (fb:m.04mxn3z): Nathan Oystrick is a Canadian professional ice hockey defenceman...n the seventh round, 198th overall, at the 2002 NHL Entry Draft., has type Athlete
9. Oren Kaplan, also known as Kaplan, Oren (fb:m.03j03zn): Oren Kaplan is a member of the musical group Gogol Bordello., has type Musical Artist
10. Otto Nathan (fb:m.0284ccd): Otto Nathan was an economist who taught at Princeton University,... Einstein as co-trustee of his literary estate with Helen Dukas., has type Author

[Tool]
Top 10 entity alternatives:
1. Cynthia Bailey & Lala Anthony, also known as Cynthia Bailey & Lala Anthony (fb:m.011cv6s7): has type TV Episode
2. Magic Johnson, Cookie Johnson, LaLa Anthony (fb:m.0_qmqmm): has type TV Episode
3. Lala Anthony, Andrew Schulz, Damien Lemon (fb:m.0_m0zsm): has type TV Episode
4. Arjen Anthony Lucassen, also known as Anthony, Strange Hobby (fb:m.04m2zj): Arjen Anthony Lucassen is a Dutch progressive metal/rock songwri...beon, and the creator and former guitarist of Stream of Passion., has type Musical Artist
5. Lalaine, also known as Lala, Lalaine Vergara-Paras, Lalaine Ann Vergara-Paras, lalaine (fb:m.01w05t7): Lalaine Vergara-Paras, also known as Lalaine, is an American act...09. She was a member of the band Vanity Theft from 2010 to 2011., has type Film actor
6. Anthony, also known as Anthony, Kansas, Harper County / Anthony city (fb:m.0t75x): Anthony is a city in and the county seat of Harper County, Kansa...ed States. As of the 2010 census, the city population was 2,269., has type City/Town/Village
7. Anthony, also known as Anthony, Texas, El Paso County / Anthony town (fb:m.020ydmq): Anthony is an incorporated town in El Paso County, Texas, United...Texas when traveling eastbound on Interstate 10 from New Mexico., has type City/Town/Village
8. Lal, also known as LaLa, Lalji, Lal Paul, Paul Michael (fb:m.03c_pqj): Paul Michael, better known by his stage name Lal, is an Indian f...els to In Harihar Nagar, 2 Harihar Nagar and In Ghost House Inn., has type Film director
9. Anthony, also known as Lewellyn Anthony Gonsalvez, Llwellyn Anthony Gonsalvez, Llwellyn Anthony Gonsalves, Antony, Anthony Gonsalves (fb:m.02qfk4j): Anthony is a Tamil film editor. He has worked in over twenty Tam...s to have worked for the three biggest film industries in India., has type Award Winner
10. Anthony, also known as Anthony, New Mexico, Dona Ana County / Anthony CDP (fb:m.02080js): Anthony is a city in Doña Ana County, New Mexico, United States....6 were cast in early voting and 11 were cast in absentee voting., has type City/Town/Village

[Assistant]
The entity for Nathan O. Kaplan is fb:m.05p62cz.
There is no direct entity for Lala Anthony, but there are some TV episodes with the name Lala Anthony. I will try searching for the property related to "lives" or "residence" for Lala Anthony to find the city where she lives.

[Tool]
Top 10 property alternatives:
1. Name (fb:type.object.name): part of Object schema, links to type Text
2. Series (fb:tv.tv_series_episode.series): part of TV Episode schema, links to type TV Program
3. Key (fb:type.object.key): part of Object schema, links to type Key
4. Season (fb:tv.tv_series_episode.season): part of TV Episode schema, links to type TV Season
5. Type (fb:type.object.type): part of Object schema, links to type Type
6. Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
7. Notable for (fb:common.topic.notable_for): links to type notable_for, part of Topic schema
8. Season number (fb:tv.tv_series_episode.season_number): part of TV Episode schema, links to type Integer
9. Original air date (fb:tv.tv_series_episode.air_date): part of TV Episode schema, links to type Date/Time

No other items found

[Assistant] The entity fb:m.0_m0zsm for Lala Anthony seems to be a TV episode and does not have a property related to "lives" or "residence." I will try searching for the entity "Lala Anthony" again to see if there is a better match for the person.

[Tool]
Top 10 entity alternatives:
1. Cynthia Bailey & Lala Anthony, also known as Cynthia Bailey & Lala Anthony (fb:m.011cv6s7): has type TV Episode
2. Magic Johnson, Cookie Johnson, LaLa Anthony (fb:m.0_qmqmm): has type TV Episode
3. Lala Anthony, Andrew Schulz, Damien Lemon (fb:m.0_m0zsm): has type TV Episode
4. Person (fb:people.person)
5. Person (fb:base.yalebase.person)
6. Arjen Anthony Lucassen, also known as Anthony, Strange Hobby (fb:m.04m2zj): Arjen Anthony Lucassen is a Dutch progressive metal/rock songwri...beon, and the creator and former guitarist of Stream of Passion., has type Musical Artist
7. Person (fb:m.04kr): A person is a human being (man, woman or child) known to have ac...r more information, please see the Freebase wiki page on person.
8. Person, also known as jaimin shah, techieRJ (fb:m.01g317): A person is a being, such as a human, that has certain capacitie...ied later to the Holy Ghost, the angels and to all human beings.
9. Lalaine, also known as Lala, Lalaine Vergara-Paras, Lalaine Ann Vergara-Paras, lalaine (fb:m.01w05t7): Lalaine Vergara-Paras, also known as Lalaine, is an American act...09. She was a member of the band Vanity Theft from 2010 to 2011., has type Film actor
10. Anthony, also known as Anthony, Kansas, Harper County / Anthony city (fb:m.0t75x): Anthony is a city in and the county seat of Harper County, Kansa...ed States. As of the 2010 census, the city population was 2,269., has type City/Town/Village

[Assistant]
There is no clear entity for the person Lala Anthony in the knowledge graph. Since we cannot find the entity for Lala Anthony, we cannot directly find the city where she lives.

I will now try to find the city where Nathan O. Kaplan was born or lived. Then I will check if there is any city linked to Lala Anthony in any way.

[Tool]
Top 10 property alternatives:
1. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
2. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
3. Gender (fb:people.person.gender): part of Person schema, links to type Gender
4. Date of death (fb:people.deceased_person.date_of_death): part of Deceased Person schema, links to type Date/Time
5. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
6. Name (fb:type.object.name): part of Object schema, links to type Text
7. Recipient (fb:education.honorary_degree.recipient): links to type Honorary Degree Recipient, part of Honorary Degree schema
8. Type (fb:type.object.type): part of Object schema, links to type Type
9. Place of death (fb:people.deceased_person.place_of_death): part of Deceased Person schema, links to type Location
10. Key (fb:type.object.key): part of Object schema, links to type Key

No other items found

[Tool]
Got 1 row and 1 column:
| city                        |
| --------------------------- |
| New York City (fb:m.02_286) |

[Tool]
Got 22 rows and 3 columns, showing the first 10 rows below:
| subject                                                  | property                                                | object                                            |
| -------------------------------------------------------- | ------------------------------------------------------- | ------------------------------------------------- |
| Lala Anthony, Andrew Schulz, Damien Lemon (fb:m.0_m0zsm) | Type (fb:type.object.type)                              | Topic (fb:common.topic)                           |
| Lala Anthony, Andrew Schulz, Damien Lemon (fb:m.0_m0zsm) | Key (fb:type.object.key)                                | /user/ovguide/tvdb_episode_id/4784388             |
| Lala Anthony, Andrew Schulz, Damien Lemon (fb:m.0_m0zsm) | Name (fb:type.object.name)                              | Lala Anthony, Andrew Schulz, Damien Lemon (en)    |
| Lala Anthony, Andrew Schulz, Damien Lemon (fb:m.0_m0zsm) | Notable for (fb:common.topic.notable_for)               | fb:g.1q3scytt3                                    |
| Lala Anthony, Andrew Schulz, Damien Lemon (fb:m.0_m0zsm) | Notable types (fb:common.topic.notable_types)           | TV Episode (fb:m.01xrzlb)                         |
| Lala Anthony, Andrew Schulz, Damien Lemon (fb:m.0_m0zsm) | Series (fb:tv.tv_series_episode.series)                 | Charlamagne and Friends (fb:m.0_m0znz)            |
| Lala Anthony, Andrew Schulz, Damien Lemon (fb:m.0_m0zsm) | Episode number (fb:tv.tv_series_episode.episode_number) | 2                                                 |
| Lala Anthony, Andrew Schulz, Damien Lemon (fb:m.0_m0zsm) | Season (fb:tv.tv_series_episode.season)                 | Charlamagne and Friends - Season 2 (fb:m.0_m0zp7) |
| Lala Anthony, Andrew Schulz, Damien Lemon (fb:m.0_m0zsm) | Original air date (fb:tv.tv_series_episode.air_date)    | 2014-01-22 (xsd:date)                             |
| Lala Anthony, Andrew Schulz, Damien Lemon (fb:m.0_m0zsm) | Season number (fb:tv.tv_series_episode.season_number)   | 2                                                 |
| ...                                                      | ...                                                     | ...                                               |

[Assistant]
Nathan O. Kaplan was born in New York City (fb:m.02_286).

The entity for Lala Anthony found is actually a TV episode and does not have any information about where she lives.

Since the knowledge graph does not have information about the city where Lala Anthony lives, I cannot find a city that is both where Nathan O. Kaplan was and where Lala Anthony lives.

I will provide this explanation as the answer.

[Tool] Stopped generation process


PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?film ?filmName WHERE {
  fb:m.0bdxs5 fb:film.actor.film ?performance .
  ?performance fb:film.performance.film ?film .
  ?film fb:film.film_regional_release_date ?releaseDateNode .
  ?releaseDateNode fb:film.film_regional_release_date.release_date ?releaseDate .
  FILTER ( ?releaseDate = "2003-12-25" ^^ xsd:date ) .
  ?film fb:type.object.name ?filmName .
}

There is no movie that Miley Cyrus has been in which was released on December 25, 2003, according to the knowledge graph.

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

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

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

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

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

[User] Of the movies that Miley Cyrus been in, which film was released on December 25,2003?

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

[Tool]
Example 1:
Question:
What movies was Selena Gomez in that were released after July 25, 2003?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0gs6vr ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0gs6vr 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 > "2003-07-25" ^^ xsd:dateTime ) .
}

Using entities:
Selena Gomez, also known as Selly, Selenita, Selena Marie Gomez, Sel, Conchita (fb:m.0gs6vr): Selena Marie Gomez is an American actress, singer and fashion de...rds following the completion of her greatest hits album For You., 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 2:
Question:
What movie did Zac Efron star in that was released in 2003?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.06wm0z ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.06wm0z 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 "2003" ^^ xsd:dateTime .
}

Using entities:
Zac Efron, also known as Zefron, Zacquisha, Zachary Efron, Zachary David Alexander "Zac" Efron, Zac (fb:m.06wm0z): Zachary David Alexander "Zac" Efron is an American actor and sin...e, The Lucky One, That Awkward Moment, Neighbors, and The Lorax., 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:
Which movies released in 2003 star Zac Efron?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.06wm0z ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.06wm0z fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:film.film.initial_release_date "2003" ^^ xsd:dateTime .
}

Using entities:
Zac Efron, also known as Zefron, Zacquisha, Zachary Efron, Zachary David Alexander "Zac" Efron, Zac (fb:m.06wm0z): Zachary David Alexander "Zac" Efron is an American actor and sin...e, The Lucky One, That Awkward Moment, Neighbors, and The Lorax., 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 fb:film.actor.film links a celebrity to their film performances, and fb:film.performance.film links the performance to the film. The film's release date can be found using fb:film.film.release_date_s and fb:film.film_regional_release_date.release_date.

Next, I will search for the entity corresponding to Miley Cyrus in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Miley Cyrus, also known as Destiny Cyrus, Smiley Miley, Smiley, Miley Ray Cyrus, Miley (fb:m.0bdxs5): Miley Ray Cyrus is an American singer, songwriter, and actress. ...ives, which featured the successful track "Party in the U.S.A."., has type Celebrity
2. Miley Cyrus, also known as Mylie Cyrus (fb:m.0xnqn32): Interview with and performance by singer and actress Miley Cyrus., Miley Cyrus hosts and performs., has type TV Episode
3. Heather Morris, also known as Miley Cyrus (fb:m.0jqrh94): Miley Cyrus is the guest host. Prank victims include Kelly Osbourne, Khloe Kardashian and Liam Hemsworth., has type TV Episode
4. Miley Cyrus (fb:m.0zkzy0x): has type Musical Recording
5. Miley Cyrus (fb:m.0wcg7bb): has type TV Episode
6. Miley Cyrus (fb:m.0_mvzqm): has type TV Episode
7. Miley Cyrus (fb:m.010b0mvw): Miley Cyrus is an American actress and singer. She became an ove...ed Cyrus to launch her own recording career several years later., has type TV Episode
8. Miley Cyrus (fb:m.0y8cf1n): has type TV Episode
9. Miley Cyrus (fb:m.011r0zpk): Miley Cyrus is a fictional representation of singer and actress Miley Cyrus., has type Fictional Character
10. Miley Cyrus (fb:m.07bqrb9)

[Assistant] The entity for Miley Cyrus is fb:m.0bdxs5. Now I will search for the property that links Miley Cyrus to the movies she has been in. I will search for properties of the entity fb:m.0bdxs5 related to films or movies.

[Tool]
Top 10 property alternatives:
1. Films appeared in (fb:film.person_or_entity_appearing_in_film.films): part of Person or entity appearing in film schema, links to type Personal film appearance
2. Films On This Subject (fb:film.film_subject.films): part of Film subject schema, links to type Film
3. Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
4. Content (fb:broadcast.artist.content): links to type Broadcast Content, part of Broadcast Artist schema
5. Film music credits (fb:film.music_contributor.film): part of Film music contributor schema, links to type Film
6. Albums (fb:music.featured_artist.albums): part of Featured artist schema, links to type Musical Album
7. Albums (fb:music.artist.album): part of Musical Artist schema, links to type Musical Album
8. Religion (fb:people.person.religion): links to type Religion, part of Person schema
9. Image (fb:common.topic.image): part of Topic schema, links to type Image
10. Languages (fb:people.person.languages): links to type Human Language, part of Person schema

No other items found

[Assistant] The property that links Miley Cyrus to her film performances is fb:film.actor.film. Next, I will check the properties of the film entity to find the correct property for the release date. I will search for properties of a film related to release date.

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

No other items found

[Assistant] The search for release date properties of the film entity did not return specific properties. I will try searching for properties related to "release" in the knowledge graph to find the release date property for films.

[Tool]
Top 10 property alternatives:
1. Release (fb:base.sounds.audio_recording.release): part of Audio Recording schema, links to type Audio Release
2. Release (fb:music.release_track.release): links to type Musical Release, part of Release track schema
3. Release of (fb:base.cgcollection.computer_game_release.release_of): part of Computer Game Release schema, links to type Video game
4. Release of (fb:music.release.album): part of Musical Release schema, links to type Musical Album
5. Released (fb:base.wikipedia_infobox.video_game.released): part of Video Game schema, links to type Date/Time
6. Released (fb:digicams.digital_camera.released): part of Digital Camera schema, links to type Date/Time
7. Released (fb:user.robert.mobile_phones.mobile_phone.released): part of Mobile phone schema, links to type Date/Time
8. Released in (fb:user.mrmasterbastard.default_domain.flashlight.released_in): part of flashlight schema, links to type Date/Time
9. Releases (fb:base.cgcollection.computer_game_platform_model.releases): links to type Computer Game Platform Release, part of Computer Game Platform Model schema
10. Releases (fb:music.record_label.releases): links to type Musical Release, part of Record label schema

[Assistant] The search for "release" properties did not return a clear property for film release date. I will try searching for properties related to "release date" specifically in the knowledge graph.

[Tool]
Top 10 property alternatives:
1. Release date (fb:base.schemastaging.application_version.release_date): part of Application version schema, links to type Date/Time
2. release date (fb:base.fblinux.linux_kernel_release.release_date): part of Linux Kernel Release schema, links to type Date/Time
3. Release Date (fb:base.cgcollection.computer_game_release.release_date): part of Computer Game Release schema, links to type Date/Time
4. Release date (fb:base.vgames.video_game_release.release_date): part of Video game release schema, links to type Date/Time
5. Release Date (fb:base.animemanga.anime_ova.release_date): part of Anime OVA schema, links to type Date/Time
6. Release date (fb:user.djmixtape.default_domain.mixtape.release_date): links to type Date/Time, part of Mixtape schema
7. Release Date (fb:base.brickbase.lego_set.release_date): links to type Date/Time, part of LEGO Set schema
8. Release date (fb:cvg.musical_game_song_relationship.release_date): part of Musical game/song relationship schema, links to type Date/Time
9. Release Date (fb:film.film_regional_release_date.release_date): part of Film regional release date schema, links to type Date/Time
10. Release Date (fb:music.release.release_date): part of Musical Release schema, links to type Date/Time

[Assistant] I found a relevant property for film release date: fb:film.film_regional_release_date.release_date. Now I will write a SPARQL query to find the movies that Miley Cyrus has been in and that were released on December 25, 2003.

[Tool] Got no rows and 2 columns

[Assistant] The query returned no results, which means there might be no movie with Miley Cyrus released exactly on December 25, 2003, or the release date might be stored differently. I will try using the property fb:film.film.initial_release_date instead to check if the initial release date matches December 25, 2003.

[Tool] Got no rows and 2 columns

[Assistant] The query using fb:film.film.initial_release_date also returned no results. I will now try to find all movies that Miley Cyrus has been in along with their release dates to check how the release dates are stored. This will help me understand if the date format or property is different.

[Tool]
Got 50 rows and 3 columns, showing the first 5 and last 5 rows below:
| film                                     | filmName                       | releaseDate           |
| ---------------------------------------- | ------------------------------ | --------------------- |
| Miley Cyrus: Tongue Tied (fb:m.010ls0tb) | Miley Cyrus: Tongue Tied (en)  | 2014-05-01 (xsd:date) |
| Big Fish (fb:m.027pfg)                   | Big Fish (ca)                  | 2003-12-10 (xsd:date) |
| Big Fish (fb:m.027pfg)                   | Big Fish (da)                  | 2003-12-10 (xsd:date) |
| Big Fish (fb:m.027pfg)                   | Big Fish (de)                  | 2003-12-10 (xsd:date) |
| Big Fish (fb:m.027pfg)                   | Big Fish (en)                  | 2003-12-10 (xsd:date) |
| ...                                      | ...                            | ...                   |
| Hannah Montana: The Movie (fb:m.02x3lt7) | Hannah Montana – A film (hu)   | 2009-04-08 (xsd:date) |
| Hannah Montana: The Movie (fb:m.02x3lt7) | Hannah Montana – Der Film (de) | 2009-04-08 (xsd:date) |
| Hannah Montana: The Movie (fb:m.02x3lt7) | Hannah Montana film (et)       | 2009-04-08 (xsd:date) |
| Hannah Montana: The Movie (fb:m.02x3lt7) | Hannah Montana - Film (sk)     | 2009-04-08 (xsd:date) |
| Hannah Montana: The Movie (fb:m.02x3lt7) | Hannah Montana: Film (pl)      | 2009-04-08 (xsd:date) |

[Assistant] The release dates are stored as xsd:date literals, and the films have multiple language labels. I did not see any film released exactly on December 25, 2003, in the sample. I will now specifically check if there is any film with Miley Cyrus released on December 25, 2003, using a filter for the date.

[Tool] Got no rows and 2 columns

[Assistant] There is no movie with Miley Cyrus released on December 25, 2003, in the knowledge graph. I will now provide the final answer.

[Tool] Stopped generation process