PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?series ?seriesLabel WHERE {
  fb:m.075kfb fb:tv.tv_actor.starring_roles ?role .
  ?role fb:tv.regular_tv_appearance.series ?series .
  ?series fb:media_common.netflix_title.netflix_genres fb:m.0cq24lg .
  OPTIONAL {
    ?series rdfs:label ?seriesLabel .
    FILTER ( lang( ?seriesLabel ) = 'en' )
  }
}

Got 1 row and 2 columns:
| series                        | seriesLabel          |
| ----------------------------- | -------------------- |
| Strong Medicine (fb:m.04xrnb) | Strong Medicine (en) |

Tamera Mowry acts on the TV Drama show 'Strong Medicine'.

[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 TV Drama show does Tamera Mowry act on?

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

[Tool]
Example 1:
Question:
What television dramas starred Kellie Martin?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03kcyd ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03kcyd fb:tv.tv_actor.starring_roles ?y .
  ?y fb:tv.regular_tv_appearance.series ?x .
  ?x fb:media_common.netflix_title.netflix_genres fb:m.0cq24lg .
}

Using entities:
Kellie Martin, also known as Kellie Noelle Martin, Kelly Martin (fb:m.03kcyd): Kellie Noelle Martin is an American television actress who is kn...hristy, Lucy Knight on ER, and Samantha Kinsey in Mystery Woman., has type Film actor
TV Dramas (fb:m.0cq24lg)

Using properties:
Netflix Genres (fb:media_common.netflix_title.netflix_genres): part of Netflix Title schema, links to type Netflix Genre
Series (fb:tv.regular_tv_appearance.series): part of TV Regular Performance schema, links to type TV Program
Starring TV roles (fb:tv.tv_actor.starring_roles): links to type TV Regular Performance, part of TV Actor schema

Example 2:
Question:
What is the name of Tia and Tamera Mowry's parent that works as a custody officer?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.054xvs ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.054xvs fb:people.person.parents ?x .
  ?x fb:people.person.profession fb:m.02w6bg3 .
}

Using entities:
Custody officer (fb:m.02w6bg3): A Custody Officer is an attested constable of at least the rank ...elfare of arrested persons who are brought to the custody suite., has type Profession
Tia Mowry, also known as Tia Mowry Hardrict, Tia Mowry-Hardrict, Tia D. Mowry, Tia Dashon Mowry-Hardrict, Tia Dashon Mowry (fb:m.054xvs): Tia Dashon Mowry-Hardrict, known by her maiden name Tia Mowry, i...Yeah, Yeah!" in 1992 and charted No.12 on the Billboard Hot 100., has type Film actor

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

Example 3:
Question:
What drama features Chad Michael Murray?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0bmn4p ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0bmn4p fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:media_common.netflix_title.netflix_genres fb:m.02822 .
}

Using entities:
Drama, also known as Dramatic programming, Television drama, /m/02822, Drama film (fb:m.02822): Drama is now commonly used to refer to a genre of film or televi...was the Muse of comedy, while Melpomene was the Muse of tragedy., Drama in entertainment media is a genre involved usually with in...s romantic drama, period drama, courtroom drama and crime drama., has type TV Genre
Chad Michael Murray, also known as Chad M. Murray, CMM, Chad Murray (fb:m.0bmn4p): Chad Michael Murray is an American actor, spokesperson, writer a...ing Rolling Stone, People, Vanity Fair and Entertainment Weekly., has type Celebrity

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

[Assistant]
From the examples, it appears that the property fb:tv.tv_actor.starring_roles links an actor to their TV roles, and the property fb:tv.regular_tv_appearance.series links a TV role to the TV show series. Also, TV dramas may be identified by a genre property such as fb:media_common.netflix_title.netflix_genres.

Next, I will search for the entity "Tamera Mowry" in the Freebase knowledge graph to find her identifier.

[Tool]
Top 10 entity alternatives:
1. Tamera Mowry, also known as Tamera Mowry-Housley, Tamera Darvette Mowry-Housley, Tamera Darvette Mowry (fb:m.075kfb): Tamera Darvette Mowry-Housley, known by her maiden name Tamera M...Yeah, Yeah!" in 1992 and charted No.12 on the Billboard Hot 100., has type Celebrity
2. Dolly Parton, Tamera Mowry (fb:m.06xl0sp): has type TV Episode
3. Profiles Featuring Tia & Tamera Mowry (fb:m.01076q8w): Profiles Featuring Tia & Tamera Mowry is a 2012 Telly Award winning episode of TV Program Profiles., has type Award-Winning Work
4. Tamera (fb:m.03hhwdj): Tamera is a peace research village with the goal of becoming "a ...ed on 335 acres in the Alentejo region of southwestern Portugal., has type Location
5. Mowry, also known as Mowry, Maryland (fb:m.0499ch8): has type City/Town/Village
6. Mowry, also known as Mowry, Idaho (fb:m.048_7r_): has type City/Town/Village
7. Tia & Tamera Mowry / LL Cool J, also known as Tia & Tamera Mowry / LL Cool J (fb:m.06z9l96): Amanda's Welcome   Randy's Auditions   Vital Information   Doubl...uperdude introduces Musical Guest: LL Cool J (""Who Do Ya Luv""), has type TV Episode
8. Mowry, also known as Mowry, Pennsylvania (fb:m.04bng5s): has type City/Town/Village
9. Mowry, also known as Mowry, Pennsylvania (fb:m.04bl7rl): has type City/Town/Village
10. Doctors’ Exclusive: Tamera Mowry’s Big Health Announcement (fb:m.0y6hvs8): has type TV Episode

[Assistant] The entity for Tamera Mowry is fb:m.075kfb. Now I will search for properties related to TV shows or acting roles for this entity.

[Tool]
Top 10 property alternatives:
1. Starring TV roles (fb:tv.tv_actor.starring_roles): links to type TV Regular Performance, part of TV Actor schema
2. TV episode performances (fb:tv.tv_actor.guest_roles): links to type TV episode performance, part of TV Actor schema
3. TV regular appearances (fb:tv.tv_personality.tv_regular_appearances): links to type TV regular personal appearance, part of TV Personality schema
4. Name (fb:type.object.name): part of Object schema, links to type Text
5. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
6. Key (fb:type.object.key): part of Object schema, links to type Key
7. Description (fb:common.topic.description): part of Topic schema, links to type Text
8. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
9. 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
10. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema

No other items found

[Assistant] The property fb:tv.tv_actor.starring_roles seems to link Tamera Mowry to TV regular performances. I will now query the TV shows where Tamera Mowry has starring roles and check if they are TV dramas.

[Tool]
Got 6 rows and 2 columns:
| series                                   | seriesLabel                     |
| ---------------------------------------- | ------------------------------- |
| Detention (fb:m.02rr9jc)                 | Detention (en)                  |
| Strong Medicine (fb:m.04xrnb)            | Strong Medicine (en)            |
| Roommates (fb:m.05h2jn_)                 | Roommates (en)                  |
| Sister, Sister (fb:m.0706t_)             | Sister, Sister (en)             |
| The Look for Less (fb:m.08l81_)          | The Look for Less (en)          |
| The Adventures of Hyperman (fb:m.08lsjw) | The Adventures of Hyperman (en) |

[Assistant]
Tamera Mowry has starring roles in the TV shows: Detention, Strong Medicine, Roommates, Sister, Sister, The Look for Less, and The Adventures of Hyperman.

Next, I will check which of these shows are categorized as TV Drama. I will do this by checking if they have a genre or category related to drama. I will start by checking the genre of these shows.

[Tool]
Got 12 rows and 4 columns, showing the first 5 and last 5 rows below:
| series                                   | seriesLabel                     | genre                            | genreLabel             |
| ---------------------------------------- | ------------------------------- | -------------------------------- | ---------------------- |
| Detention (fb:m.02rr9jc)                 | Detention (en)                  |                                  |                        |
| Strong Medicine (fb:m.04xrnb)            | Strong Medicine (en)            | Television (fb:m.07c52)          | Television (en)        |
| Strong Medicine (fb:m.04xrnb)            | Strong Medicine (en)            | TV Dramas (fb:m.0cq24lg)         | TV Dramas (en)         |
| Strong Medicine (fb:m.04xrnb)            | Strong Medicine (en)            | TV Medical Dramas (fb:m.0crs0v3) | TV Medical Dramas (en) |
| Strong Medicine (fb:m.04xrnb)            | Strong Medicine (en)            | TV Shows (fb:m.0gw5qqy)          | TV Shows (en)          |
| ...                                      | ...                             | ...                              | ...                    |
| Sister, Sister (fb:m.0706t_)             | Sister, Sister (en)             | Television (fb:m.07c52)          | Television (en)        |
| Sister, Sister (fb:m.0706t_)             | Sister, Sister (en)             | TV Comedies (fb:m.0crs0v0)       | TV Comedies (en)       |
| Sister, Sister (fb:m.0706t_)             | Sister, Sister (en)             | TV Sitcoms (fb:m.0crs126)        | TV Sitcoms (en)        |
| The Look for Less (fb:m.08l81_)          | The Look for Less (en)          |                                  |                        |
| The Adventures of Hyperman (fb:m.08lsjw) | The Adventures of Hyperman (en) |                                  |                        |

[Assistant]
Among the TV shows where Tamera Mowry has starring roles, "Strong Medicine" is categorized as a TV Drama (including TV Medical Dramas). Other shows like "Sister, Sister" are categorized as TV Comedies or Sitcoms.

I will now finalize the answer with the TV Drama show "Strong Medicine" where Tamera Mowry acts.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the TV Drama show 'Strong Medicine' in which Tamera Mowry acts. It uses appropriate properties to find her starring roles and filters the series by the TV Drama genre. The query returns the series identifier and label as required. 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 DISTINCT ?place ?placeLabel WHERE {
  ?person fb:people.person.quotations fb:m.048fymc .
  ?person fb:people.deceased_person.place_of_death ?place .
  OPTIONAL {
    ?place rdfs:label ?placeLabel .
    FILTER ( lang( ?placeLabel ) = "en" )
  }
}
LIMIT 10

The person who was quoted saying "Nothing pains some people more than having to think" was killed in Memphis.

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

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

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

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

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

[User] Where did the person who was quoted saying "Nothing pains some people more than having to think," killed?

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

[Tool]
Example 1:
Question:
What is the birthplace of the person that said "Nothing pains some people more than having to think."?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:people.person.quotations fb:m.048fymc .
  ?c fb:people.person.place_of_birth ?x .
}

Using entities:
Nothing pains some people more than having to think. (fb:m.048fymc): has type Quotation

Using properties:
Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
Quotations (fb:people.person.quotations): links to type Quotation, part of Person schema

Example 2:
Question:
In what city was the person who stated "Nothing pains some people more than having to think." shot?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:people.person.quotations fb:m.048fymc .
  ?c fb:people.deceased_person.place_of_death ?x .
}

Using entities:
Nothing pains some people more than having to think. (fb:m.048fymc): has type Quotation

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

Example 3:
Question:
In what town was the person who said, "Nothing pains some people more than having to think" assassinated?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:people.person.quotations fb:m.048fymc .
  ?c fb:people.deceased_person.place_of_death ?x .
}

Using entities:
Nothing pains some people more than having to think. (fb:m.048fymc): has type Quotation

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

[Assistant]
From the examples, it is clear that the quote "Nothing pains some people more than having to think" is represented by the entity fb:m.048fymc in Freebase. The person who said this quote can be found by linking the quotation to a person using the property fb:people.person.quotations. The place where this person was killed or died can be found using the property fb:people.deceased_person.place_of_death.

I will now construct a SPARQL query to find the place where the person who was quoted saying "Nothing pains some people more than having to think" was killed (place of death).

[Tool]
Got 1 row and 2 columns:
| place                | placeLabel   |
| -------------------- | ------------ |
| Memphis (fb:m.0c_m3) | Memphis (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the person who made the quotation and retrieves their place of death. The query uses the quotation entity and the place_of_death property appropriately, and the result matches the answer provided. The optional label retrieval is done correctly with a language filter. The answer 'Memphis' is accurate and complete based on the query results. No further refinement is needed.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?formOfGovernment WHERE {
  ?location fb:government.governmental_jurisdiction.governing_officials ?position .
  ?position fb:government.government_position_held.office_position_or_title fb:m.02cyh7 .
  ?location fb:location.country.form_of_government ?formOfGovernment .
}

Got 3 rows and 1 column:
| formOfGovernment                |
| ------------------------------- |
| Communist state (fb:m.01fkst)   |
| Socialist state (fb:m.025tbxf)  |
| Single-party state (fb:m.0py4y) |

The location that has the government position title 'President of Vietnam' currently has the system of government described as a Communist state, Socialist state, and Single-party state.

[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 system of government, does the location that has the government position title ,President of Vietnam, have currently?

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

[Tool]
Example 1:
Question:
What government and governmental jurisdiction does the President of Vietnam fall under?

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.02cyh7 .
  ?c fb:location.country.form_of_government ?x .
}

Using entities:
President of Vietnam (fb:m.02cyh7): The President of the Socialist Republic of Vietnam, represents t...tnam, his successor, Tôn Đức Thắng, served as a symbolic figure., 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
Form of Government (fb:location.country.form_of_government): links to type Form of Government, part of Country schema

Example 2:
Question:
What is the type of government in place in the area under the jurisdiction of the Prime Minister of Vietnam?

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.028qmy .
  ?c fb:location.country.form_of_government ?x .
}

Using entities:
Prime Minister of Vietnam, also known as Prime Minister of the Socialist Republic, Prime Minister of the Socialist Republic of Vietnam (fb:m.028qmy): The Prime Minister of Vietnam, officially styled Prime Minister ... Party's Politburo, the highest decision-making body in Vietnam., 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
Form of Government (fb:location.country.form_of_government): links to type Form of Government, part of Country schema

Example 3:
Question:
The country that uses the Vietnamese Dong have what kind of government?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:location.country.currency_used fb:m.03ksl6 .
  ?c fb:location.country.form_of_government ?x .
}

Using entities:
Vietnamese dong, also known as Vietnamese đồng (Remonetized) (fb:m.03ksl6): The đồng has been the currency of Vietnam since May 3, 1978. Iss...was further subdivided into 10 xu, neither of which is now used., has type Currency

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

[Assistant]
From the similar examples, it appears that the entity for "President of Vietnam" is fb:m.02cyh7 and the property for "office position or title" is fb:government.government_position_held.office_position_or_title. The property for "governing officials" is fb:government.governmental_jurisdiction.governing_officials and the property for "form of government" is fb:location.country.form_of_government.

I will now write a SPARQL query to find the form of government for the location that has the government position title "President of Vietnam".

[Tool]
Got 3 rows and 1 column:
| formOfGovernment                |
| ------------------------------- |
| Communist state (fb:m.01fkst)   |
| Socialist state (fb:m.025tbxf)  |
| Single-party state (fb:m.0py4y) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the location associated with the government position title 'President of Vietnam' and retrieves the current system of government for that location. The query uses appropriate properties and entities, and the execution result matches the expected answer. The answer clearly states the system of government as a Communist state, Socialist state, and Single-party state, which aligns with the data retrieved. No further refinement is necessary.


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 ?college ?collegeLabel ?numPostgraduates WHERE {
  fb:m.0ggp1n fb:people.person.education ?education .
  ?education fb:education.education.institution ?college .
  ?college fb:common.topic.notable_types fb:m.01y2hnl .
  ?college fb:education.university.number_of_postgraduates ?postgradCount .
  ?postgradCount fb:measurement_unit.dated_integer.number ?numPostgraduates .
  FILTER ( xsd:integer ( ?numPostgraduates ) < 9153 ) .
  OPTIONAL {
    ?college rdfs:label ?collegeLabel .
    FILTER ( lang( ?collegeLabel ) = 'en' )
  }
}

The college attended by Kevin Hart that has less than 9153 postgraduates is Temple 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] Which college attended by Kevin Hart has less than 9153 postgraduates?

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

[Tool]
Example 1:
Question:
Which college attended by James Franco has the smallest number of postgraduate students?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.05bnp0 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.05bnp0 fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:common.topic.notable_types fb:m.01y2hnl .
  ?x fb:education.university.number_of_postgraduates ?c .
  ?c fb:measurement_unit.dated_integer.number ?num .
}
ORDER BY xsd:integer ( ?num )
LIMIT 1

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.
James Franco, also known as Ted, Teddy, James Edward Franco (fb:m.05bnp0): James Edward Franco is an American actor, filmmaker, and teacher...riting at his alma mater, University of California, Los Angeles., has type Celebrity

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
Number of postgraduates (fb:education.university.number_of_postgraduates): part of College/University schema, links to type Dated Integer
number (fb:measurement_unit.dated_integer.number): part of Dated Integer schema, links to type Integer
Education (fb:people.person.education): links to type Education, part of Person schema

Example 2:
Question:
What university with the smallest number of postgraduates did James Franco attend?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.05bnp0 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.05bnp0 fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:education.university.number_of_postgraduates ?c .
  ?c fb:measurement_unit.dated_integer.number ?num .
}
ORDER BY xsd:integer ( ?num )
LIMIT 1

Using entities:
James Franco, also known as Ted, Teddy, James Edward Franco (fb:m.05bnp0): James Edward Franco is an American actor, filmmaker, and teacher...riting at his alma mater, University of California, Los Angeles., has type Celebrity

Using properties:
Institution (fb:education.education.institution): links to type Educational Institution, part of Education schema
Number of postgraduates (fb:education.university.number_of_postgraduates): part of College/University schema, links to type Dated Integer
number (fb:measurement_unit.dated_integer.number): part of Dated Integer schema, links to type Integer
Education (fb:people.person.education): links to type Education, part of Person schema

Example 3:
Question:
What college that boasts Jackie Kennedy as an alumnus is a university with fewer than 13718 postgraduate students?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0h6mq ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0h6mq fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:common.topic.notable_types fb:m.01y2hnl .
  ?x fb:education.university.number_of_postgraduates ?c .
  ?c fb:measurement_unit.dated_integer.number ?num .
  FILTER ( xsd:integer ( ?num ) < 13718 ) .
}

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.
Jacqueline Kennedy Onassis, also known as Jacqueline Lee Bouvier, Supertanker, Jacqueline Lee Bouvier Kennedy Onassis, Jacqueline Lee Bouvier Onassis, Jacqueline Lee "Jackie" Bouvier Kennedy Onassis (fb:m.0h6mq): Jacqueline Lee "Jackie" Kennedy Onassis was the wife of the 35th...sband in a motorcade in Dallas, Texas, when he was assassinated., has type Politician

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
Number of postgraduates (fb:education.university.number_of_postgraduates): part of College/University schema, links to type Dated Integer
number (fb:measurement_unit.dated_integer.number): part of Dated Integer schema, links to type Integer
Education (fb:people.person.education): links to type Education, part of Person schema

[Assistant]
From the examples, we see that the relevant properties and entities are:
- Person's education: fb:people.person.education
- Education institution: fb:education.education.institution
- College/University type: fb:m.01y2hnl
- Number of postgraduates: fb:education.university.number_of_postgraduates
- Number value: fb:measurement_unit.dated_integer.number

The query should:
1. Find the education entries for Kevin Hart.
2. Get the institutions from those education entries.
3. Filter institutions that are of type College/University.
4. Get the number of postgraduates for those institutions.
5. Filter institutions with less than 9153 postgraduates.

Next, I will search for the entity "Kevin Hart" in the knowledge graph to get his identifier.

[Tool]
Top 10 entity alternatives:
1. Kevin Hart, also known as Kevin D. Hart (fb:m.0ggp1n): Kevin Darnell Hart is an American actor, comedian, writer, and p...stars as himself in the lead role of Real Husbands of Hollywood., has type Celebrity
2. Kevin Hart (fb:m.07zm3r): Kevin John Hart is an Anglo-Australian theologian, philosopher a...topher Brennan Award and the Grace Leven Prize for Poetry twice., has type Author
3. Kevin Hart (fb:m.02z6jkw): Not to be confused with comedian Kevin Hart Kevin Richard Hart i...jor League Baseball for the Chicago Cubs and Pittsburgh Pirates., has type Baseball Player
4. Kevin Hart, also known as Kevin Christopher Hart (fb:m.0zdsw5n): Kevin Hart is an American Football offensive lineman for the Coastal Carolina Chanticleers., has type Athlete
5. Kevin Hart (fb:m.0h98915): Kevin Francis Hart is a former Australian rules footballer who p...hen captain-coached Heidelberg to premierships in 1956 and 1957., has type Athlete
6. Kevin Hart (fb:m.0zgljnd): Kevin Hart is an American Football wide receiver for the William & Mary Tribe., has type Athlete
7. Kevin Hart (fb:m.079d26f): Comedy Central presents a new half-hour of stand-up from Kevin Hart., has type TV Episode
8. Kevin Hart (fb:m.0_f_1xp): Kevin Hart is the co-founder and the President of HB Agency., has type Organization leader
9. Kevin Hart (fb:m.011k48t5): It's the biggest night in 'Wild 'N Out' history as Kevin Hart re... see who will get the last laugh in the season finale smackdown., has type TV Episode
10. Kevin Hart (fb:m.011k48tm): Wild 'N Out's back, and what better way to kick things off than ...ionship belt. Plus, we get a winning performance from DJ Khaled., has type TV Episode

[Assistant]
The entity for Kevin Hart, the American actor and comedian, is fb:m.0ggp1n.

Next, I will write a SPARQL query to find colleges attended by Kevin Hart that have less than 9153 postgraduates. I will use the properties and structure from the examples.

[Tool]
Got 1 row and 3 columns:
| college                         | collegeLabel           | numPostgraduates |
| ------------------------------- | ---------------------- | ---------------- |
| Temple University (fb:m.01jt2w) | Temple University (en) | 5478             |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the college attended by Kevin Hart that has less than 9153 postgraduates. It uses the appropriate properties to link Kevin Hart to his educational institutions and filters the results based on the number of postgraduates. The query returns the college's identifier, label, and the number of postgraduates, which matches the user's question. The answer, Temple University, is accurate based on the query result. No further refinement is necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?whistlerLocale ?whistlerLocaleLabel ?lotfLocation ?lotfLocationLabel WHERE {
  VALUES ?whistler {
    fb:m.02pg6z3
  }
  VALUES ?lotf {
    fb:m.02__34
  }
  ?whistler fb:location.location.containedby ?whistlerLocale .
  OPTIONAL {
    ?whistlerLocale rdfs:label ?whistlerLocaleLabel FILTER ( LANG( ?whistlerLocaleLabel ) = "en" )
  }
  ?lotf fb:film.film.featured_film_locations ?lotfLocation .
  OPTIONAL {
    ?lotfLocation rdfs:label ?lotfLocationLabel FILTER ( LANG( ?lotfLocationLabel ) = "en" )
  }
}

Got 18 rows and 4 columns, showing the first 5 and last 5 rows below:
| whistlerLocale                          | whistlerLocaleLabel            | lotfLocation           | lotfLocationLabel |
| --------------------------------------- | ------------------------------ | ---------------------- | ----------------- |
| British Columbia (fb:m.015jr)           | British Columbia (en)          | Vancouver (fb:m.080h2) | Vancouver (en)    |
| British Columbia (fb:m.015jr)           | British Columbia (en)          | Canada (fb:m.0d060g)   | Canada (en)       |
| Coast Mountains (fb:m.0183r6)           | Coast Mountains (en)           | Vancouver (fb:m.080h2) | Vancouver (en)    |
| Coast Mountains (fb:m.0183r6)           | Coast Mountains (en)           | Canada (fb:m.0d060g)   | Canada (en)       |
| North American Cordillera (fb:m.019f_v) | North American Cordillera (en) | Vancouver (fb:m.080h2) | Vancouver (en)    |
| ...                                     | ...                            | ...                    | ...               |
| Pacific Ranges (fb:m.08p698)            | Pacific Ranges (en)            | Canada (fb:m.0d060g)   | Canada (en)       |
| Garibaldi Ranges (fb:m.08pqh0)          | Garibaldi Ranges (en)          | Vancouver (fb:m.080h2) | Vancouver (en)    |
| Garibaldi Ranges (fb:m.08pqh0)          | Garibaldi Ranges (en)          | Canada (fb:m.0d060g)   | Canada (en)       |
| Canada (fb:m.0d060g)                    | Canada (en)                    | Vancouver (fb:m.080h2) | Vancouver (en)    |
| Canada (fb:m.0d060g)                    | Canada (en)                    | Canada (fb:m.0d060g)   | Canada (en)       |

The locale of Whistler Mountain includes British Columbia, Coast Mountains, North American Cordillera, Pacific Coast Ranges, North America, Fitzsimmons Range, Pacific Ranges, Garibaldi Ranges, and Canada. The place where Legends of the Fall was shot includes Vancouver and Canada.

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

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

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

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

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

[User] What is the locale of Whistler Mountain and the place Legends of the Fall was shot?

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

[Tool]
Example 1:
Question:
In what country is the subject of the film "Everest" located?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:film.film_subject.films fb:m.092cdq .
  ?c fb:location.location.partially_containedby ?x .
  ?x fb:base.biblioness.bibs_location.loc_type ?sk0 .
  FILTER ( str( ?sk0 ) = "Country" )
}

Using entities:
Everest (fb:m.092cdq): Everest is a 70mm American documentary film from MacGillivray Fr...98 and became the highest-grossing film made in the IMAX format., has type Film

Using properties:
Type (fb:base.biblioness.bibs_location.loc_type): part of Bibs Location schema, links to type Text
Films On This Subject (fb:film.film_subject.films): part of Film subject schema, links to type Film
Partially contained by (fb:location.location.partially_containedby): part of Location schema, links to type Location

Example 2:
Question:
Which country that Nina Dobrev is from is the location of the film "Legends of the Fall"?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.027nwk2 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.027nwk2 fb:people.person.nationality ?x .
  ?x fb:film.film_location.featured_in_films fb:m.02__34 .
}

Using entities:
Nina Dobrev, also known as Nina Constantinova Dobreva, Nikolina Konstantinova Dobreva, Almond (fb:m.027nwk2): Nina Dobrev is a Bulgarian Canadian actress and model. She playe...e CW's supernatural drama, The Vampire Diaries, for six seasons., has type Celebrity
Legends of the Fall (fb:m.02__34): Legends of the Fall is a 1994 American epic drama film directed ...ish language terms, the Ludlows being a Cornish emigrant family., 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
Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country

Example 3:
Question:
In what country was the subject of the movie "Skiing Everest" found?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:film.film_subject.films fb:m.0h1ft6d .
  ?c fb:location.location.partially_containedby ?x .
  ?x fb:base.biblioness.bibs_location.loc_type ?sk0 .
  FILTER ( str( ?sk0 ) = "Country" )
}

Using entities:
Skiing Everest (fb:m.0h1ft6d): Skiing Everest is an American adventure documentary directed by ...their skis and challenge the most dangerous slopes in the world., has type Film

Using properties:
Type (fb:base.biblioness.bibs_location.loc_type): part of Bibs Location schema, links to type Text
Films On This Subject (fb:film.film_subject.films): part of Film subject schema, links to type Film
Partially contained by (fb:location.location.partially_containedby): part of Location schema, links to type Location

[Assistant]
From the examples, it seems that the locale or location of a place or filming location can be found by identifying the entity and then querying its location or the place it is partially contained by.

Step 1: Identify the entities for "Whistler Mountain" and "Legends of the Fall".
Step 2: Find the locale or location for Whistler Mountain.
Step 3: Find the place where "Legends of the Fall" was shot.

I will start by searching for the entity "Whistler Mountain" in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Whistler Mountain (fb:m.02pg6z3): Whistler Mountain is a mountain in the Fitzsimmons Range of the ...BC. The mountain forms part of a major ski and snowboard resort., has type Mountain
2. On whistler mountain (fb:m.093pk9t): has type Book Edition
3. The Mountain Whistler (fb:m.0137pbfj): has type Musical Recording
4. On whistler mountain (fb:m.06gbyy_): has type Book
5. Whistler Mountaineer (fb:m.043qlbp): Whistler Mountaineer is a rail way service operated by Rocky Mou...ntaineer today is called the Rocky Mountaineer sea to sky climb.
6. The Mountain Whistler (fb:m.0137nds2)
7. Whistler Mountain (B.C.) (fb:m.0bp0d76)
8. Whistler Mountain (Wash.) (fb:m.0bpc6r_)
9. Pan Pacific Whistler Mountainside (fb:m.0c1pbxy): has type Hotel
10. WMSC Foundation, also known as Whistler Mountain Ski Club Foundation (fb:m.0746sx2): WMSC Foundation is a not-for-profit organization that is dedicated to train and develop juvenile skiers., has type Organization

[Assistant]
I found the entity for Whistler Mountain as fb:m.02pg6z3 which is a mountain in the Fitzsimmons Range of the Coast Mountains in British Columbia, Canada.

Next, I will search for the entity "Legends of the Fall" to identify the film.

[Tool]
Top 10 entity alternatives:
1. Legends of the Fall (fb:m.02__34): Legends of the Fall is a 1994 American epic drama film directed ...ish language terms, the Ludlows being a Cornish emigrant family., has type Award-Winning Work
2. Legends of the Fall (fb:m.03b4v6b): has type Consumer product
3. Legends of the fall (fb:m.08dsr91): has type Book Edition
4. Legends of the Fall (fb:m.012pkkd9): has type Consumer product
5. Legends of the Fall, also known as Legends of the Fall Soundtrack (fb:m.01hw5_m): has type Soundtrack
6. Legends of the Fall, also known as Legends of the Fall, Legends of the Fall: The Ludlows (fb:m.0f7bccq): has type Musical Recording
7. Legends of the Fall (fb:m.0mh3gb): has type Musical Recording
8. Legends of the fall (fb:m.068vtnm): Legends of the fall is a novella written by Jim Harrison., has type Book
9. Legends of the Fall (fb:m.014zmy4): has type Musical Recording
10. Legends of the Fall (fb:m.0qfjj27): has type Musical Recording

[Assistant]
I found the entity for the film Legends of the Fall as fb:m.02__34 which is a 1994 American epic drama film.

Now I will find the locale of Whistler Mountain (fb:m.02pg6z3).

[Tool] Got no rows and 1 columns

[Assistant] There is no direct "partially_containedby" property for Whistler Mountain. I will try to find other location-related properties for Whistler Mountain.

[Tool]
Top 10 property alternatives:
1. Name (fb:type.object.name): part of Object schema, links to type Text
2. Description (fb:common.topic.description): part of Topic schema, links to type Text
3. Geolocation (fb:location.location.geolocation): part of Location schema, links to type Geocode
4. Elevation (fb:geography.mountain.elevation): links to type Floating Point Number, part of Mountain schema
5. Image (fb:common.topic.image): part of Topic schema, links to type Image
6. Key (fb:type.object.key): part of Object schema, links to type Key
7. Article (fb:common.topic.article): links to type Document, part of Topic schema
8. Type (fb:type.object.type): part of Object schema, links to type Type
9. Contained by (fb:location.location.containedby): part of Location schema, links to type Location
10. Contains (fb:location.location.contains): part of Location schema, links to type Location

No other items found

[Assistant] There is a property "containedby" (fb:location.location.containedby) which might indicate the location or locale that contains Whistler Mountain. I will query for the location that contains Whistler Mountain.

[Tool]
Got 9 rows and 1 column:
| locale                                  |
| --------------------------------------- |
| British Columbia (fb:m.015jr)           |
| Coast Mountains (fb:m.0183r6)           |
| North American Cordillera (fb:m.019f_v) |
| Pacific Coast Ranges (fb:m.01jwb2)      |
| North America (fb:m.059g4)              |
| Fitzsimmons Range (fb:m.05q3snr)        |
| Pacific Ranges (fb:m.08p698)            |
| Garibaldi Ranges (fb:m.08pqh0)          |
| Canada (fb:m.0d060g)                    |

[Assistant]
The locale of Whistler Mountain includes British Columbia, Coast Mountains, North American Cordillera, Pacific Coast Ranges, North America, Fitzsimmons Range, Pacific Ranges, Garibaldi Ranges, and Canada.

Next, I will find the place where the film Legends of the Fall (fb:m.02__34) was shot. I will look for filming locations or related properties.

[Tool]
Top 10 property alternatives:
1. Notable filming locations (fb:film.film.featured_film_locations): links to type Filming location, part of Film schema
2. Cinematography (fb:film.film.cinematography): links to type Film cinematographer, part of Film schema
3. Production companies (fb:film.film.production_companies): links to type Production company, part of Film schema
4. Produced by (fb:film.film.produced_by): links to type Film producer, part of Film schema
5. Directed by (fb:film.film.directed_by): links to type Film director, part of Film schema
6. Screenplay by (fb:film.film.written_by): links to type Film writer, part of Film schema
7. Country of origin (fb:film.film.country): links to type Country, part of Film schema
8. Production design by (fb:film.film.film_production_design_by): links to type Film production designer, part of Film schema
9. Executive produced by (fb:film.film.executive_produced_by): links to type Film producer, part of Film schema
10. Image (fb:common.topic.image): part of Topic schema, links to type Image

No other items found

[Assistant] The property "Notable filming locations" (fb:film.film.featured_film_locations) seems relevant for finding the place where Legends of the Fall was shot. I will query the notable filming locations for the film Legends of the Fall.

[Tool]
Got 2 rows and 1 column:
| location               |
| ---------------------- |
| Vancouver (fb:m.080h2) |
| Canada (fb:m.0d060g)   |

[Assistant]
The place where Legends of the Fall was shot includes Vancouver and Canada.

I will now provide the final answer with the locale of Whistler Mountain and the place where Legends of the Fall was shot.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the locales containing Whistler Mountain and the filming locations of Legends of the Fall. It returns the IRIs and English labels for these locations, which aligns with the user's question. The answer is comprehensive, listing all relevant locations for Whistler Mountain and the filming places for Legends of the Fall. The query uses appropriate properties and entities, and the execution result confirms it returns multiple relevant locations. No further refinement is necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?college ?collegeLabel WHERE {
  ?college fb:education.university.number_of_undergraduates ?numEntity .
  ?numEntity fb:measurement_unit.dated_integer.number 40 .
  ?college fb:location.location.containedby fb:m.0rczx .
  ?college fb:common.topic.notable_types fb:m.01y2hnl .
  OPTIONAL {
    ?college rdfs:label ?collegeLabel .
    FILTER ( lang( ?collegeLabel ) = 'en' )
  }
}

The college in Greeley, Colorado that has 40 undergraduates is the Academy of Natural Therapy.

[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 in Greeley, Colorado has 40 undergraduates?

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

[Tool]
Example 1:
Question:
What state has a capital named Denver and has University of Rockies?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03wbmx5 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03wbmx5 fb:location.location.containedby ?x .
  ?x fb:location.us_state.capital fb:m.02cl1 .
}

Using entities:
Denver, also known as Denver, CO, Denver, Colorado, Denver County, Denver County / Denver city (fb:m.02cl1): Denver is the capital and most populous municipality of the U.S....ed as the 21st most populous U.S. metropolitan statistical area., has type City/Town/Village
University of the Rockies, also known as University of the Rockies, Colorado Springs, University of the Rockies, main campus (fb:m.03wbmx5): University of the Rockies is an accredited for-profit university...l institutions in the North Central Region of the United States., has type College/University

Using properties:
Contained by (fb:location.location.containedby): part of Location schema, links to type Location
Capital (fb:location.us_state.capital): links to type City/Town/Village, part of US State schema

Example 2:
Question:
Where is the University of the Rockies in a country where you'd also find El Paso County?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03wbmx5 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03wbmx5 fb:location.location.containedby ?x .
  ?x fb:location.hud_county_place.county fb:m.0p07l .
}

Using entities:
University of the Rockies, also known as University of the Rockies, Colorado Springs, University of the Rockies, main campus (fb:m.03wbmx5): University of the Rockies is an accredited for-profit university...l institutions in the North Central Region of the United States., has type College/University
El Paso County (fb:m.0p07l): El Paso County is one of the 64 counties of the U.S. state of Co...dicated to improving the region's transportation infrastructure., has type US County

Using properties:
County (fb:location.hud_county_place.county): part of HUD County Place schema, links to type US County
Contained by (fb:location.location.containedby): part of Location schema, links to type Location

Example 3:
Question:
What college Alice Walker attended is the university with more than 340 postgraduates enrolled?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0bv70 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0bv70 fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:common.topic.notable_types fb:m.01y2hnl .
  ?x fb:education.university.number_of_postgraduates ?c .
  ?c fb:measurement_unit.dated_integer.number ?num .
  FILTER ( xsd:integer ( ?num ) > 340 ) .
}

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.
Alice Walker, also known as Alice Malsenior Walker (fb:m.0bv70): Alice Malsenior Walker is an American author and activist. She w...eridian and The Third Life of Grange Copeland among other works., has type Author

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
Number of postgraduates (fb:education.university.number_of_postgraduates): part of College/University schema, links to type Dated Integer
number (fb:measurement_unit.dated_integer.number): part of Dated Integer schema, links to type Integer
Education (fb:people.person.education): links to type Education, part of Person schema

[Assistant]
From the examples, I see that colleges/universities are represented as entities with type College/University (fb:m.01y2hnl). The location of a college can be found using properties related to location, and the number of undergraduates might be represented by a property related to the number of students or undergraduates.

Step 1: Let's search for colleges in Greeley, Colorado. I will first search for the entity "Greeley, Colorado" to get its identifier.

[Tool]
Top 10 entity alternatives:
1. Greeley, also known as Weld County / Greeley city, Greeley, Colorado, USA, Greeley, Colorado (fb:m.0rczx): The City of Greeley is the Home Rule Municipality that is the co...rado. Greeley is a major city of the Front Range Urban Corridor., has type City/Town/Village
2. Greeley Junction, also known as Greeley Junction, Colorado (fb:m.048pw74): has type City/Town/Village
3. Downtown Greeley Colorado (fb:m.0byh2w6)
4. Irrigation near Greeley, Colorado (fb:m.06v5756): has type Book
5. Media in Greeley, Colorado (fb:m.011jmsx0): Greeley is a center of media in north-central Colorado. The following is a list of media outlets in the city.
6. Location of Greeley, Colorado (fb:m.0294yls)
7. University of Northern Colorado, also known as University of Northern Colorado, main campus, University of Northern Colorado, Greeley, UNCO, UNC (fb:m.01_k7f): The University of Northern Colorado is a coeducational public in...education. Academic programs are distributed among six colleges., The University of Northern Colorado (UNC or Northern Colorado) i...education. Academic programs are distributed among six colleges., has type College/University
8. Colorado High School Of Greeley (fb:m.07659t9): has type School
9. Colorado, also known as Centennial State, Colo, CO (fb:m.01n4w): Colorado is a U.S. state encompassing most of the Southern Rocky...the centennial of the United States Declaration of Independence., The State of Colorado is a state in the Rocky Mountain region of... city of Colorado. Citizens of Colorado are known as Coloradans., has type US State
10. Sport Club Internacional, also known as Colorado, The Red (fb:m.019m5j): Sport Club Internacional is a Brazilian multisport club based in...n the World in number of paying members, with more than 104,000., has type Football team

[Assistant]
I found the entity for Greeley, Colorado: fb:m.0rczx. I also found a college in Greeley called University of Northern Colorado with the entity fb:m.01_k7f.

Step 2: Now I want to check if the University of Northern Colorado has information about the number of undergraduates. I will search for properties related to "undergraduates" for this entity.

[Tool]
Top 10 property alternatives:
1. Number of undergraduates (fb:education.university.number_of_undergraduates): part of College/University schema, links to type Dated Integer
2. Students/Graduates (fb:education.educational_institution.students_graduates): part of Educational Institution schema, links to type Education
3. Number of postgraduates (fb:education.university.number_of_postgraduates): part of College/University schema, links to type Dated Integer
4. Number of faculty (fb:education.educational_institution.faculty): part of Educational Institution schema, links to type Dated Integer
5. Educational institution (fb:education.educational_institution_campus.educational_institution): part of Educational Institution Campus schema, links to type Educational Institution
6. Campuses (fb:education.educational_institution.campuses): links to type Educational Institution Campus, part of Educational Institution schema
7. Domestic tuition (fb:education.university.domestic_tuition): part of College/University schema, links to type Dated Money Value
8. Total Enrollment (fb:education.educational_institution.total_enrollment): part of Educational Institution schema, links to type Dated Integer
9. Acceptance rate (fb:education.university.acceptance_rate): part of College/University schema, links to type Acceptance rate
10. Endowment (fb:organization.endowed_organization.endowment): part of Endowed Organization schema, links to type Dated Money Value

No other items found

[Assistant]
The University of Northern Colorado has a property for the number of undergraduates: fb:education.university.number_of_undergraduates.

Step 3: I will now write a SPARQL query to find colleges in Greeley, Colorado that have 40 undergraduates. I will check if the number of undergraduates is exactly 40 for any college in Greeley.

[Tool] Got no rows and 3 columns

[Assistant]
There is no college in Greeley, Colorado with exactly 40 undergraduates according to the data in Freebase. The University of Northern Colorado is a college in Greeley, but it does not have 40 undergraduates listed.

I will now check if there are any colleges in Greeley, Colorado with any number of undergraduates listed, to see if the number 40 might be approximate or if there is any relevant data.

[Tool]
Got 5 rows and 3 columns:
| college                                       | collegeLabel                         | num   |
| --------------------------------------------- | ------------------------------------ | ----- |
| University of Northern Colorado (fb:m.01_k7f) | University of Northern Colorado (en) | 10102 |
| Aims Community College (fb:m.0407qbq)         | Aims Community College (en)          | 5308  |
| Aims Community College (fb:m.0407qbq)         | Aims Community College (en)          | 5340  |
| Academy of Natural Therapy (fb:m.0clw8vv)     | Academy of Natural Therapy (en)      | 40    |
| Academy of Natural Therapy (fb:m.0clw8vv)     | Academy of Natural Therapy (en)      | 51    |

[Assistant]
There is a college in Greeley, Colorado called "Academy of Natural Therapy" that has 40 undergraduates according to the data. There are also other colleges with different numbers of undergraduates.

I will now provide the final answer.

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The SPARQL query did not return any results, indicating that the data might not be available or the query needs refinement. The property fb:education.university.number_of_undergraduates links to a Dated Integer entity, but the query filters for exactly 40 without considering possible data representation issues. Also, the location filter uses fb:location.location.containedby with fb:m.0rczx (Greeley), which might be too restrictive or incorrect for the college's location property. I suggest verifying the correct property for the number of undergraduates and the location of the college. Additionally, consider checking if the number of undergraduates is stored directly as an integer or through a different property. The query should be refined to better capture the college in Greeley with 40 undergraduates or confirm if such data exists in the knowledge graph.

[Assistant] Thank you for the feedback. I will refine the query by checking the exact structure of the number of undergraduates property and the location property for the college "Academy of Natural Therapy" (fb:m.0clw8vv) to ensure the correct properties are used. I will also verify how the number of undergraduates is represented and how the location of the college is linked to Greeley, Colorado.

[Tool]
Got 45 rows and 3 columns, showing the first 10 rows below:
| subject                                   | property                                                            | object                                                          |
| ----------------------------------------- | ------------------------------------------------------------------- | --------------------------------------------------------------- |
| Academy of Natural Therapy (fb:m.0clw8vv) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                         |
| Academy of Natural Therapy (fb:m.0clw8vv) | Key (fb:type.object.key)                                            | /authority/nces/ipeds/449454                                    |
| Academy of Natural Therapy (fb:m.0clw8vv) | Name (fb:type.object.name)                                          | Academy of Natural Therapy (en)                                 |
| Academy of Natural Therapy (fb:m.0clw8vv) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://nces.ed.gov/globallocator/col_info_popup.asp?ID=449454> |
| Academy of Natural Therapy (fb:m.0clw8vv) | Notable for (fb:common.topic.notable_for)                           | fb:g.1255zqycb                                                  |
| Academy of Natural Therapy (fb:m.0clw8vv) | Notable types (fb:common.topic.notable_types)                       | College/University (fb:m.01y2hnl)                               |
| Academy of Natural Therapy (fb:m.0clw8vv) | Also known as (fb:common.topic.alias)                               | Academy of Natural Therapy, Greeley (en)                        |
| Academy of Natural Therapy (fb:m.0clw8vv) | Contained by (fb:location.location.containedby)                     | United States of America (fb:m.09c7w0)                          |
| Academy of Natural Therapy (fb:m.0clw8vv) | Web Link(s) (fb:common.topic.webpage)                               | fb:m.0cpzy02                                                    |
| Academy of Natural Therapy (fb:m.0clw8vv) | Official website (fb:common.topic.official_website)                 | <http://www.natural-therapy.com>                                |
| ...                                       | ...                                                                 | ...                                                             |

[Assistant]
The Academy of Natural Therapy is of type College/University and is contained by the United States, but the location property does not directly link it to Greeley, Colorado. It has an alias "Academy of Natural Therapy, Greeley" which indicates it is in Greeley.

I will now check the properties related to the number of undergraduates for this college.

[Tool]
Got 2 rows and 3 columns:
| subject                                   | property                                                                    | object       |
| ----------------------------------------- | --------------------------------------------------------------------------- | ------------ |
| Academy of Natural Therapy (fb:m.0clw8vv) | Number of undergraduates (fb:education.university.number_of_undergraduates) | fb:m.0h78yvr |
| Academy of Natural Therapy (fb:m.0clw8vv) | Number of undergraduates (fb:education.university.number_of_undergraduates) | fb:m.0k7gc6q |

[Assistant]
The Academy of Natural Therapy has two values for the number of undergraduates, represented by entities fb:m.0h78yvr and fb:m.0k7gc6q.

I will now check the actual numbers for these two entities.

[Tool]
Got 4 rows and 3 columns:
| subject      | property                                          | object                                            |
| ------------ | ------------------------------------------------- | ------------------------------------------------- |
| fb:m.0h78yvr | Type (fb:type.object.type)                        | Dated Integer (fb:measurement_unit.dated_integer) |
| fb:m.0h78yvr | number (fb:measurement_unit.dated_integer.number) | 40                                                |
| fb:m.0h78yvr | date (fb:measurement_unit.dated_integer.year)     | 2009 (xsd:gYear)                                  |
| fb:m.0h78yvr | rdf:type                                          | Dated Integer (fb:measurement_unit.dated_integer) |

[Tool]
Got 6 rows and 3 columns:
| subject      | property                                          | object                                                              |
| ------------ | ------------------------------------------------- | ------------------------------------------------------------------- |
| fb:m.0k7gc6q | Type (fb:type.object.type)                        | Dated Integer (fb:measurement_unit.dated_integer)                   |
| fb:m.0k7gc6q | Key (fb:type.object.key)                          | /dataworld/freeq/job_aa7b73bc-23...er_of_undergraduates_449454_2010 |
| fb:m.0k7gc6q | number (fb:measurement_unit.dated_integer.number) | 51                                                                  |
| fb:m.0k7gc6q | date (fb:measurement_unit.dated_integer.year)     | 2010 (xsd:gYear)                                                    |
| fb:m.0k7gc6q | rdf:type                                          | Dated Integer (fb:measurement_unit.dated_integer)                   |
| fb:m.0k7gc6q | fbkey:dataworld.freeq                             | job_aa7b73bc-23b7-4836-925f-3235...er_of_undergraduates_449454_2010 |

[Assistant]
The Academy of Natural Therapy has 40 undergraduates in 2009 and 51 undergraduates in 2010 according to the data.

I will now refine the SPARQL query to check for colleges in Greeley, Colorado with 40 undergraduates, considering the number might be represented as a Dated Integer entity. I will also use the alias to identify the location in Greeley.

[Tool] Got no rows and 2 columns

[Assistant] The query using alias with "greeley" did not return any results. I will now try a different approach by checking if the college is contained by a location that is contained by Greeley, Colorado or directly linked to Greeley. I will also check the location property of the Academy of Natural Therapy to confirm its location.

[Tool]
Got 3 rows and 3 columns:
| subject                                   | property                                        | object                                 |
| ----------------------------------------- | ----------------------------------------------- | -------------------------------------- |
| Academy of Natural Therapy (fb:m.0clw8vv) | Contained by (fb:location.location.containedby) | United States of America (fb:m.09c7w0) |
| Academy of Natural Therapy (fb:m.0clw8vv) | Contained by (fb:location.location.containedby) | Colorado (fb:m.01n4w)                  |
| Academy of Natural Therapy (fb:m.0clw8vv) | Contained by (fb:location.location.containedby) | Greeley (fb:m.0rczx)                   |

[Assistant]
The Academy of Natural Therapy is contained by Greeley (fb:m.0rczx), Colorado (fb:m.01n4w), and the United States (fb:m.09c7w0).

I will now refine the SPARQL query to find colleges contained by Greeley, Colorado with 40 undergraduates.

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The SPARQL query did not return any results, indicating that the data for a college in Greeley, Colorado with exactly 40 undergraduates might not be present or the query conditions are too strict. The query uses the property fb:education.university.number_of_undergraduates with a nested number property to filter for exactly 40 undergraduates, but this might not be the correct way to access the number or the data might be missing. Also, the location filter uses fb:location.location.containedby fb:m.0rczx (Greeley), which is correct if the entity ID is accurate. I suggest verifying the property for the number of undergraduates and possibly relaxing the filter or checking for alternative properties. Additionally, ensure that the location filter correctly identifies colleges located in Greeley. The query should be refined to better match the data structure in Freebase and to increase the chances of retrieving the correct college.

[Assistant] Thank you for the feedback. I will refine the query by explicitly joining the number property of the number_of_undergraduates entity and the location containment to Greeley, Colorado. I will also check for colleges with number_of_undergraduates close to 40 to see if the exact number 40 is too restrictive. I will first try to get the number_of_undergraduates values for colleges in Greeley, Colorado to understand the data better.

[Tool] Got no rows and 3 columns

[Assistant]
There are no colleges in Greeley, Colorado with the number of undergraduates between 30 and 50 according to the data.

I will now try to find colleges in Greeley, Colorado and list their number_of_undergraduates property values without filtering by number to see what data is available.

[Tool]
Got 5 rows and 3 columns:
| college                                       | collegeLabel                         | num   |
| --------------------------------------------- | ------------------------------------ | ----- |
| University of Northern Colorado (fb:m.01_k7f) | University of Northern Colorado (en) | 10102 |
| Aims Community College (fb:m.0407qbq)         | Aims Community College (en)          | 5308  |
| Aims Community College (fb:m.0407qbq)         | Aims Community College (en)          | 5340  |
| Academy of Natural Therapy (fb:m.0clw8vv)     | Academy of Natural Therapy (en)      | 40    |
| Academy of Natural Therapy (fb:m.0clw8vv)     | Academy of Natural Therapy (en)      | 51    |

[Assistant]
The Academy of Natural Therapy in Greeley, Colorado has 40 undergraduates according to the data. This matches the user's question.

I will now provide the final answer with this information.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?team ?teamName ?founded WHERE {
  fb:m.02zmsf fb:sports.pro_athlete.teams ?roster .
  ?roster fb:sports.sports_team_roster.team ?team .
  OPTIONAL {
    ?team fb:type.object.name ?teamName .
  }
  ?team fb:sports.sports_team.founded ?founded .
}
ORDER BY ?founded
LIMIT 1

The earliest founded team that Peyton Manning's dad, Archie Manning, has played for is the Minnesota Vikings, founded in 1961.

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

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

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

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

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

[User] What is the earliest founded team that Peyton Manning's dad has played for?

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

[Tool]
Example 1:
Question:
Which of the football teams for which Emmitt Smith played was the most recently founded sports team?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01480y ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01480y fb:sports.pro_athlete.teams ?y .
  ?y fb:sports.sports_team_roster.team ?x .
  ?x fb:sports.sports_team.founded ?num .
}
ORDER BY DESC ( ?num )
LIMIT 1

Using entities:
Emmitt Smith, also known as Emmitt James Smith III, emmitt_smith (fb:m.01480y): Emmitt James Smith, III is an American former college and profes...same year three times when to that point it had never been done., has type American football player

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

Example 2:
Question:
Which football team founded earliest did Emmitt Smith play for?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01480y ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01480y fb:sports.pro_athlete.teams ?y .
  ?y fb:sports.sports_team_roster.team ?x .
  ?x fb:sports.sports_team.founded ?num .
}
ORDER BY ?num
LIMIT 1

Using entities:
Emmitt Smith, also known as Emmitt James Smith III, emmitt_smith (fb:m.01480y): Emmitt James Smith, III is an American former college and profes...same year three times when to that point it had never been done., has type American football player

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

Example 3:
Question:
What team does Lamar Play for that was founded before 1959?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02_nkp ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02_nkp fb:sports.pro_athlete.teams ?y .
  ?y fb:sports.sports_team_roster.team ?x .
  ?x fb:sports.sports_team.founded ?num .
  FILTER ( ?num < "1959" ^^ xsd:dateTime ) .
}

Using entities:
Lamar Odom, also known as Lamar Joseph Odom, Lam Lam, Lamy (fb:m.02_nkp): Lamar Joseph Odom is an American professional basketball player ...raded him to Dallas. He was traded back to the Clippers in 2012., has type Celebrity

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

[Assistant]
The examples show that to answer the question about the earliest founded team a player has played for, we need to:
1. Identify the player (in this case, Peyton Manning's dad).
2. Get the teams the player has played for.
3. Get the founding dates of those teams.
4. Order the teams by founding date ascending and select the earliest one.

Next, I will identify Peyton Manning's dad in the knowledge graph. I will search for "Peyton Manning" first to find his entity, then find his dad.

[Tool]
Top 10 entity alternatives:
1. Peyton Manning, also known as Peyton Williams Manning (fb:m.027jv8): Peyton Williams Manning is an American football quarterback for ...onships, two AFC championships, and one Super Bowl championship., has type American football player
2. Peyton Manning (fb:m.06xdbx5): has type TV Episode
3. Peyton Manning (fb:m.03svcd7)
4. Peyton Manning (fb:m.02cryv1)
5. Meet Peyton Manning (fb:m.06t1qmy): has type Book
6. Peyton Manning/Carrie Underwood, also known as SNL - 32.16 (fb:m.06xr8sl): This is the 16th broadcast of the 32nd season of SNL.  Information is subject to change., has type TV Episode
7. Shailene Woodley, Peyton Manning (fb:m.011d9mtk): has type TV Episode
8. Kurt Warner and Peyton Manning (fb:m.0690vqt): has type Book
9. United Way with Peyton Manning (fb:m.04p2ytq)
10. Peyton Manning and the Indianapolis Colts (fb:m.06fkz6b): has type Book

[Assistant] I found the entity for Peyton Manning: fb:m.027jv8. Now I will look for Peyton Manning's dad using properties related to family or parents. I will search for properties of Peyton Manning related to family or parents.

[Tool]
Top 10 property alternatives:
1. Parents (fb:people.person.parents): part of Person schema, links to type Person
2. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
3. Name (fb:type.object.name): part of Object schema, links to type Text
4. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
5. Image (fb:common.topic.image): part of Topic schema, links to type Image
6. Position (fb:user.szaijan.fantasy_football.player.position): links to type Position, part of Player schema
7. Gender (fb:people.person.gender): part of Person schema, links to type Gender
8. Profession (fb:people.person.profession): links to type Profession, part of Person schema
9. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
10. Spouse (or domestic partner) (fb:people.person.spouse_s): links to type Marriage, part of Person schema

No other items found

[Assistant] The property "Parents" (fb:people.person.parents) can be used to find Peyton Manning's dad. I will now query Peyton Manning's parents using this property.

[Tool]
Got 2 rows and 1 column:
| parent                                 |
| -------------------------------------- |
| Archie Manning (fb:m.02zmsf)           |
| Olivia Williams Manning (fb:m.0hpq5s9) |

[Assistant] Peyton Manning's dad is Archie Manning (fb:m.02zmsf). Next, I will find the teams that Archie Manning has played for. I will search for properties of Archie Manning related to teams or sports teams.

[Tool]
Top 10 property alternatives:
1. Teams (fb:sports.pro_athlete.teams): links to type Sports team roster, part of Athlete schema
2. Name (fb:type.object.name): part of Object schema, links to type Text
3. Position(s) (fb:american_football.football_player.position_s): part of American football player schema, links to type Sports position
4. Key (fb:type.object.key): part of Object schema, links to type Key
5. Article (fb:common.topic.article): links to type Document, part of Topic schema
6. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
7. Description (fb:common.topic.description): part of Topic schema, links to type Text
8. Profession (fb:people.person.profession): links to type Profession, part of Person schema
9. Education (fb:people.person.education): links to type Education, part of Person schema
10. Type (fb:type.object.type): part of Object schema, links to type Type

No other items found

[Assistant] The property "Teams" (fb:sports.pro_athlete.teams) can be used to find the teams Archie Manning has played for. I will now query the teams Archie Manning has played for and their founding dates, then order by founding date ascending to get the earliest founded team.

[Tool]
Got 1 row and 3 columns:
| team                           | teamName             | founded          |
| ------------------------------ | -------------------- | ---------------- |
| Minnesota Vikings (fb:m.051q5) | מינסוטה ויקינגס (iw) | 1961 (xsd:gYear) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the teams that Archie Manning has played for, along with their founding dates, and orders them by the founding date to get the earliest founded team. The answer provided, the Minnesota Vikings founded in 1961, matches the query result. The query uses appropriate properties and entities, and the result is relevant and complete. The optional retrieval of the team name is also handled well. No further refinement is necessary.