PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?actor ?actorLabel WHERE {
  fb:m.0f1bg fb:film.film_character.portrayed_in_films ?performance .
  ?performance fb:film.performance.actor ?actor .
  OPTIONAL {
    ?actor rdfs:label ?actorLabel FILTER ( lang( ?actorLabel ) = 'en' )
  }
}

Got 2 rows and 2 columns:
| actor                     | actorLabel       |
| ------------------------- | ---------------- |
| Mark Hamill (fb:m.0154d7) | Mark Hamill (en) |
| Bob Bergen (fb:m.07l4yc)  | Bob Bergen (en)  |

The actors who played Luke Skywalker are Mark Hamill and Bob Bergen.

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

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

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

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

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

[User] who would play luke skywalker?

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

[Tool]
Example 1:
Question:
who play luke skywalker?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0f1bg ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0f1bg fb:film.film_character.portrayed_in_films ?y .
  ?y fb:film.performance.actor ?x .
}

Using entities:
Luke Skywalker (fb:m.0f1bg): Luke Skywalker is a fictional character appearing as the central...e Awakens, which is planned to be released on December 18, 2015., has type Film character

Using properties:
Portrayed in films (fb:film.film_character.portrayed_in_films): links to type Film performance, part of Film character schema
Actor (fb:film.performance.actor): part of Film performance schema, links to type Film actor

Example 2:
Question:
who play luke skywalker?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0f1bg ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0f1bg fb:tv.tv_character.appeared_in_tv_program ?y .
  ?y fb:tv.regular_tv_appearance.actor ?x .
}

Using entities:
Luke Skywalker (fb:m.0f1bg): Luke Skywalker is a fictional character appearing as the central...e Awakens, which is planned to be released on December 18, 2015., has type Film character

Using properties:
Actor (fb:tv.regular_tv_appearance.actor): part of TV Regular Performance schema, links to type TV Actor
Programs in which this was a regular character (fb:tv.tv_character.appeared_in_tv_program): links to type TV Regular Performance, part of TV Character schema

Example 3:
Question:
who was luke skywalker played by?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0f1bg ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0f1bg fb:tv.tv_character.appeared_in_tv_program ?y .
  ?y fb:tv.regular_tv_appearance.actor ?x .
}

Using entities:
Luke Skywalker (fb:m.0f1bg): Luke Skywalker is a fictional character appearing as the central...e Awakens, which is planned to be released on December 18, 2015., has type Film character

Using properties:
Actor (fb:tv.regular_tv_appearance.actor): part of TV Regular Performance schema, links to type TV Actor
Programs in which this was a regular character (fb:tv.tv_character.appeared_in_tv_program): links to type TV Regular Performance, part of TV Character schema

[Assistant] The examples suggest that the entity for Luke Skywalker is fb:m.0f1bg and the properties to find the actor who played him in films is fb:film.film_character.portrayed_in_films and fb:film.performance.actor. I will now write a SPARQL query to find the actors who played Luke Skywalker in films.

[Tool]
Got 2 rows and 2 columns:
| actor                     | actorLabel       |
| ------------------------- | ---------------- |
| Mark Hamill (fb:m.0154d7) | Mark Hamill (en) |
| Bob Bergen (fb:m.07l4yc)  | Bob Bergen (en)  |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the actors who played the character Luke Skywalker by linking the character to film performances and then to the actors. The query returns the identifiers and English labels of the actors, which is appropriate. The answer includes both Mark Hamill and Bob Bergen, which matches the query results. The query and answer are complete and accurate for the question asked.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?invention ?inventionLabel WHERE {
  fb:m.07bty fb:law.inventor.inventions ?invention .
  OPTIONAL {
    ?invention rdfs:label ?inventionLabel FILTER ( lang( ?inventionLabel ) = 'en' )
  }
}

Got 8 rows and 2 columns:
| invention                                  | inventionLabel                   |
| ------------------------------------------ | -------------------------------- |
| Movie camera (fb:m.01cbh9)                 | Movie camera (en)                |
| Quadruplex telegraph (fb:m.02r0w8q)        | Quadruplex telegraph (en)        |
| Electric Power Distribution (fb:m.03q9w5j) | Electric Power Distribution (en) |
| Mimeograph (fb:m.0505x)                    | Mimeograph (en)                  |
| Phonograph (fb:m.063md)                    | Phonograph (en)                  |
| Incandescent light bulb (fb:m.0cpk7)       | Incandescent light bulb (en)     |
| Carbon microphone (fb:m.0d9fkw)            | Carbon microphone (en)           |
| Phonograph cylinder (fb:m.0xrxw)           | Phonograph cylinder (en)         |

Thomas Edison invented the following inventions: Movie camera, Quadruplex telegraph, Electric Power Distribution, Mimeograph, Phonograph, Incandescent light bulb, Carbon microphone, and Phonograph cylinder.

[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 inventions did thomas edison invent list?

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

[Tool]
Example 1:
Question:
what things did thomas edison invent?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07bty ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07bty fb:law.inventor.inventions ?x .
}

Using entities:
Thomas Edison, also known as Edison, Thomas, The Wizard of Menlo Park, Thomas A. Edison, Thomas Alva Edison (fb:m.07bty): Thomas Alva Edison was an American inventor and businessman. He ...ctric car, electrical power, recorded music and motion pictures., has type Inventor

Using properties:
Inventions (fb:law.inventor.inventions): links to type Invention, part of Inventor schema

Example 2:
Question:
what are all the things thomas edison invented?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07bty ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07bty fb:law.inventor.inventions ?x .
}

Using entities:
Thomas Edison, also known as Edison, Thomas, The Wizard of Menlo Park, Thomas A. Edison, Thomas Alva Edison (fb:m.07bty): Thomas Alva Edison was an American inventor and businessman. He ...ctric car, electrical power, recorded music and motion pictures., has type Inventor

Using properties:
Inventions (fb:law.inventor.inventions): links to type Invention, part of Inventor schema

Example 3:
Question:
what is thomas edison's most famous for?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07bty ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07bty fb:people.person.profession ?x .
}

Using entities:
Thomas Edison, also known as Edison, Thomas, The Wizard of Menlo Park, Thomas A. Edison, Thomas Alva Edison (fb:m.07bty): Thomas Alva Edison was an American inventor and businessman. He ...ctric car, electrical power, recorded music and motion pictures., has type Inventor

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

[Assistant]
From the similar examples, it appears that Thomas Edison is identified as fb:m.07bty in Freebase. The property that links an inventor to their inventions is fb:law.inventor.inventions.

I will now write a SPARQL query to list the inventions of Thomas Edison using this information.

[Tool]
Got 8 rows and 2 columns:
| invention                                  | inventionLabel                   |
| ------------------------------------------ | -------------------------------- |
| Movie camera (fb:m.01cbh9)                 | Movie camera (en)                |
| Quadruplex telegraph (fb:m.02r0w8q)        | Quadruplex telegraph (en)        |
| Electric Power Distribution (fb:m.03q9w5j) | Electric Power Distribution (en) |
| Mimeograph (fb:m.0505x)                    | Mimeograph (en)                  |
| Phonograph (fb:m.063md)                    | Phonograph (en)                  |
| Incandescent light bulb (fb:m.0cpk7)       | Incandescent light bulb (en)     |
| Carbon microphone (fb:m.0d9fkw)            | Carbon microphone (en)           |
| Phonograph cylinder (fb:m.0xrxw)           | Phonograph cylinder (en)         |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the inventions attributed to Thomas Edison from the Freebase knowledge graph. It returns both the identifiers and English labels of the inventions, which is appropriate and helpful for understanding. The answer lists the inventions found in the query result, matching the data retrieved. The query uses the correct entity and property for inventions and includes an optional clause for labels with language filtering. The execution result shows a reasonable and relevant set of inventions. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?causeOfDeath ?causeOfDeathLabel WHERE {
  fb:m.0pj9t fb:people.deceased_person.cause_of_death ?causeOfDeath .
  OPTIONAL {
    ?causeOfDeath rdfs:label ?causeOfDeathLabel .
    FILTER ( lang( ?causeOfDeathLabel ) = 'en' )
  }
}

Got 1 row and 2 columns:
| causeOfDeath                          | causeOfDeathLabel           |
| ------------------------------------- | --------------------------- |
| Surgical complications (fb:m.02wgfrh) | Surgical complications (en) |

Bobby Darin died of surgical complications.

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

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

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

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

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

[User] what did bobby darin die of?

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

[Tool]
Example 1:
Question:
what did frankie lymon die from?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01mlkv5 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01mlkv5 fb:people.deceased_person.cause_of_death ?x .
}

Using entities:
Frankie Lymon, also known as Teenagers, The Teenagers, Frankie Lymon, Lymon, Frankie, Lymon, Frankie & Teenagers, The (fb:m.01mlkv5): Franklin Joseph "Frankie" Lymon was an American rock and roll/rh... life was dramatized in the 1998 film Why Do Fools Fall In Love., has type Musical Artist

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

Example 2:
Question:
what did bob ross die of?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02hv0w ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02hv0w fb:people.deceased_person.cause_of_death ?x .
}

Using entities:
Bob Ross, also known as Bust 'em up Bobby, Robert Norman "Bob" Ross, Robert Norman Ross (fb:m.02hv0w): Robert Norman "Bob" Ross was an American painter, art instructor...gram that aired on PBS in the United States, Canada, and Europe., has type Visual Artist

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

Example 3:
Question:
what did robin gibb died from?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0137hn ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0137hn fb:people.deceased_person.cause_of_death ?x .
}

Using entities:
Robin Gibb, also known as Robin, Robin Hugh Gibb, CBE, Robin Hugh Gibb, ROBIN GIBB (fb:m.0137hn): Robin Hugh Gibb, CBE was a British singer, songwriter and record...f the Heritage Foundation, honouring figures in British culture., has type Musical Artist

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

[Assistant] From the similar examples, it is clear that the property "fb:people.deceased_person.cause_of_death" is used to find the cause of death of a person. Next, I will search for the entity "Bobby Darin" in the Freebase knowledge graph to get his identifier.

[Tool]
Top 10 entity alternatives:
1. Bobby Darin, also known as Walden Robert Cassotto, Robert Darin, Bobby Daren, Darin, Bobby, Bob Darin (fb:m.0pj9t): Bobby Darin was an American singer, songwriter, multi-instrument...lways expected, following bouts of rheumatic fever in childhood., has type Musical Artist
2. Bobby Darin (fb:m.0303k_v): has type Musical Release
3. Bobby Darin (fb:m.012srtyv): Bobby Darin is the debut album by American singer Bobby Darin re... in 1958. It includes Darin's US number one hit "Splish Splash"., has type Musical Album
4. Bobby Darin (fb:m.0rr57kv): has type Musical Release
5. Bobby Darin (fb:m.010_d42d): has type Musical Recording
6. Bobby Darin (fb:m.07l1m4s): has type TV Episode
7. Bobby Darin, also known as Little Bobby (fb:m.09nww8z): The representation in fiction of American singer, songwriter, and actor Bobby Darin., has type Film character
8. Bobby Darin (fb:m.07ldlj4): has type TV Episode
9. Bobby Darin (fb:m.0cs05vy)
10. Bobby Darin (fb:m.02bvgs3)

[Assistant] The entity for Bobby Darin as a musical artist is fb:m.0pj9t. Now I will query the cause of death for this entity using the property fb:people.deceased_person.cause_of_death.

[Tool]
Got 1 row and 1 column:
| causeOfDeath                          |
| ------------------------------------- |
| Surgical complications (fb:m.02wgfrh) |

[Assistant] Bobby Darin died of surgical complications. I will now provide the final answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the cause of death for Bobby Darin from the freebase knowledge graph. It returns the identifier and the English label for the cause of death, which is 'Surgical complications.' The answer provided matches the query result and is accurate. The query follows the rules by returning the actual identifier and an optional label. No further refinement is necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?work WHERE {
  fb:m.08l257 fb:film.actor.film ?performance .
  ?performance fb:film.performance.film ?work .
}

Got 12 rows and 1 column, showing the first 5 and last 5 rows below:
| work                                                    |
| ------------------------------------------------------- |
| Devil Dog: The Hound of Hell (fb:m.02r2r2j)             |
| Tuff Turf (fb:m.02rl4qq)                                |
| Escape to Witch Mountain (fb:m.04f2h9q)                 |
| Race to Witch Mountain (fb:m.04f76fm)                   |
| Nanny and the Professor (fb:m.05dj6dc)                  |
| ...                                                     |
| The Car (fb:m.08dyxd)                                   |
| The Whiz Kid and the Mystery at Riverton (fb:m.0bfmjvh) |
| No Deposit, No Return (fb:m.0d1_kl)                     |
| Raid on Entebbe (fb:m.0dnh5w)                           |
| Black Snake Moan (fb:m.0ff1st)                          |

Kim Richards was in the following works: Devil Dog: The Hound of Hell, Tuff Turf, Escape to Witch Mountain, Race to Witch Mountain, Nanny and the Professor, The Car, The Whiz Kid and the Mystery at Riverton, No Deposit, No Return, Raid on Entebbe, and Black Snake Moan.

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

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

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

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

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

[User] what was kim richards in?

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

[Tool]
Example 1:
Question:
what has lucy hale played in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0754d6 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0754d6 fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
}

Using entities:
Lucy Hale, also known as Karen Lucille Hale, Lucy Kate Hale (fb:m.0754d6): Lucy Hale is an American actress and singer. Earlier in career, ...ars. In 2014, she released her debut studio album, Road Between., 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

Example 2:
Question:
what did shawnee smith star in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.06t3nj ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.06t3nj fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
}

Using entities:
Shawnee Smith (fb:m.06t3nj): Shawnee Rebecca Smith is an American film and television actress...sitcom Anger Management, which ended in 2014 after 100 episodes., has type Film actor

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

Example 3:
Question:
what does kat dennings star in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0b0kzw ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0b0kzw fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
}

Using entities:
Kat Dennings, also known as Katherine Litwack, Katherine V. Litwack, Katherine Dennings, Dennings, Kat (fb:m.0b0kzw): Katherine Litwack, known professionally as Kat Dennings, is an A... she stars alongside Beth Behrs in the CBS sitcom 2 Broke Girls., Kat Dennings is an American actress., has type Film actor

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

[Assistant]
From the similar examples, it appears that to answer the question "what was [person] in?" we need to:
1. Identify the entity for the person (Kim Richards).
2. Use the property related to film or TV performances (e.g., fb:film.actor.film).
3. Retrieve the films or shows associated with that person through their performances.

Next, I will search for the entity "Kim Richards" in the Freebase knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Kim Richards, also known as Kimberly Richards, Kim Richards-Brinson, Kimberly "Kim" Richards (fb:m.08l257): Kimberly "Kim" Richards is an American actress. She is a former ... reality-television series The Real Housewives of Beverly Hills., has type TV Personality
2. Kim Richards (fb:m.0k226mc): has type Person
3. Kim Richards (fb:m.0_mwht3): Kim Richards is the mother of American Football player Aschan Richards., has type Person
4. Kim Richardson (fb:m.0v347q4): Kim Richardson is a Canadian singer and actress, who won two Jun...ards of Canada. Her third single, "I Want It", followed in 1987., Kim Richardson is a 1986 Juno Award winning singer for the award Most Promising Female Vocalist of the Year., Kim Richardson is a singer, songwriter and actress., has type Musical Artist
5. Kimberley Richardson, also known as Kimberley Richardson Lindley, Kimberly Richardson, Kim Richardson (fb:m.0bwb0qb): Kimberley Richardson is a set decorator., has type Film crewmember
6. Kim Richardson (fb:m.0v2xl0q): Kim Richardson is an actress., has type Film actor
7. Kimmi Richards (fb:m.0w0kdxp): Kimmi Richards is an actress., has type Film actor
8. Kimberley Richards (fb:m.0v2tcm1): Kimberley Richards is a Juno Award nominated artist., has type Award Nominee
9. Kim Richardson (fb:m.0ggj0gf): has type Film crewmember
10. Joely Richardson, also known as Joely Kim Richardson (fb:m.03f4w4): Joely Kim Richardson is an English actress, known for her role a...d the Hollywood film adaptation The Girl with the Dragon Tattoo., has type Film actor

[Assistant] The most relevant entity for Kim Richards is fb:m.08l257, which corresponds to Kimberly "Kim" Richards, an American actress and TV personality. Now I will construct a query to find the films or TV shows Kim Richards was in using the property for film performances.

[Tool]
Got 12 rows and 1 column, showing the first 5 and last 5 rows below:
| work                                                    |
| ------------------------------------------------------- |
| Devil Dog: The Hound of Hell (fb:m.02r2r2j)             |
| Tuff Turf (fb:m.02rl4qq)                                |
| Escape to Witch Mountain (fb:m.04f2h9q)                 |
| Race to Witch Mountain (fb:m.04f76fm)                   |
| Nanny and the Professor (fb:m.05dj6dc)                  |
| ...                                                     |
| The Car (fb:m.08dyxd)                                   |
| The Whiz Kid and the Mystery at Riverton (fb:m.0bfmjvh) |
| No Deposit, No Return (fb:m.0d1_kl)                     |
| Raid on Entebbe (fb:m.0dnh5w)                           |
| Black Snake Moan (fb:m.0ff1st)                          |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the works Kim Richards was in by linking her film performances to the films. The answer lists the works accurately based on the query results. The query follows the rules by returning the identifiers of the works. The output is complete and correctly addresses the user's question.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?leader ?leaderLabel WHERE {
  fb:m.081pw fb:time.event.start_date ?start ; fb:time.event.end_date ?end .
  ?leader fb:government.politician.government_positions_held ?position .
  ?position fb:government.government_position_held.office_position_or_title fb:m.060d2 ; fb:government.government_position_held.from ?from ; fb:government.government_position_held.to ?to .
  FILTER ( ?from < ?end ) FILTER ( ?to > ?start ) OPTIONAL {
    ?leader rdfs:label ?leaderLabel .
    FILTER ( lang( ?leaderLabel ) = 'en' )
  }
}

Got 2 rows and 2 columns:
| leader                             | leaderLabel                |
| ---------------------------------- | -------------------------- |
| Franklin D. Roosevelt (fb:m.02yy8) | Franklin D. Roosevelt (en) |
| Harry S. Truman (fb:m.09bg4l)      | Harry S. Truman (en)       |

The leaders of the US during World War II were Franklin D. Roosevelt and Harry S. Truman.

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

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

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

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

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

[User] who was the leader of the us during wwii?

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

[Tool]
Example 1:
Question:
who was the president of the united states during ww2?

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

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

Using properties:
From (fb:government.government_position_held.from): part of Government Position Held schema, links to type Date/Time
Office, position, or title (fb:government.government_position_held.office_position_or_title): links to type Government Office or Title, part of Government Position Held schema
To (fb:government.government_position_held.to): part of Government Position Held schema, links to type Date/Time
Government Positions Held (fb:government.politician.government_positions_held): links to type Government Position Held, part of Politician schema
End date (fb:time.event.end_date): links to type Date/Time, part of Event schema
Start date (fb:time.event.start_date): links to type Date/Time, part of Event schema

Example 2:
Question:
what country did truman lead?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.09bg4l ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.09bg4l fb:government.politician.government_positions_held ?y .
  ?y fb:government.government_position_held.jurisdiction_of_office ?x .
}

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

Using properties:
Jurisdiction of office (fb:government.government_position_held.jurisdiction_of_office): links to type Governmental Jurisdiction, part of Government Position Held schema
Government Positions Held (fb:government.politician.government_positions_held): links to type Government Position Held, part of Politician schema

Example 3:
Question:
what nation did hitler lead?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07_m9_ ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07_m9_ fb:government.politician.government_positions_held ?y .
  ?y fb:government.government_position_held.jurisdiction_of_office ?x .
}

Using entities:
Adolf Hitler, also known as Wolf, Hitler, GröFaZ, Adolph Hitler, Der Führer (fb:m.07_m9_): Adolf Hitler was an Austrian-born German politician who was the ...man Reichstag, leading to his appointment as chancellor in 1933., has type Military Commander

Using properties:
Jurisdiction of office (fb:government.government_position_held.jurisdiction_of_office): links to type Governmental Jurisdiction, part of Government Position Held schema
Government Positions Held (fb:government.politician.government_positions_held): links to type Government Position Held, part of Politician schema

[Assistant]
From the similar examples, we see that the approach to find the leader of the US during WWII involves:
- Identifying the entity for World War II (fb:m.081pw)
- Identifying the office position for President of the United States (fb:m.060d2)
- Finding politicians who held the position of President of the United States during the time period of World War II.

I will now construct a SPARQL query to find the leader of the US during WWII using this approach.

[Tool]
Got 2 rows and 2 columns:
| leader                             | leaderLabel                |
| ---------------------------------- | -------------------------- |
| Franklin D. Roosevelt (fb:m.02yy8) | Franklin D. Roosevelt (en) |
| Harry S. Truman (fb:m.09bg4l)      | Harry S. Truman (en)       |

[Assistant]
The leaders of the US during World War II were Franklin D. Roosevelt and Harry S. Truman. Roosevelt was president at the start of the war, and Truman became president later during the war.

I will now provide this as the final answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the leaders of the US during World War II by checking the overlap of their presidential terms with the war period. It returns the IRIs and labels of Franklin D. Roosevelt and Harry S. Truman, which is accurate and complete. The query respects the requirement to return identifiers and optionally labels, and the answer matches historical facts. No further refinement is necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?placeOfBirth WHERE {
  fb:m.013p_j fb:people.person.place_of_birth ?placeOfBirth .
}

Terry Waite was born in Bollington.

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

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

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

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

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

[User] where was terry waite born?

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

[Tool]
Example 1:
Question:
where is bob marley from where was he born?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0bkf4 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0bkf4 fb:people.person.place_of_birth ?x .
}

Using entities:
Bob Marley, also known as Bob, Tuff Gong, Robert Nesta Marley, Nesta Robert Marley, Nesta Robert "Bob" Marley (fb:m.0bkf4): Robert Nesta "Bob" Marley, OM was a Jamaican reggae singer, song...ed Rastafari who infused his music with a sense of spirituality., has type Musical Artist

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

Example 2:
Question:
where was tommy steele born?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01np2lh ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01np2lh fb:people.person.place_of_birth ?x .
}

Using entities:
Tommy Steele, also known as Jimmy Bennett, Thomas Hicks, Thomas William Hicks, Tommy Steele OBE (fb:m.01np2lh): Tommy Steele OBE is an English entertainer, regarded as Britain'...esley around London has been challenged by more than one source., has type Musical Artist

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

Example 3:
Question:
where did bob barker grow up?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01ydhd ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01ydhd fb:people.person.place_of_birth ?x .
}

Using entities:
Bob Barker, also known as Robert Barker, Robert William Barker (fb:m.01ydhd): Robert William "Bob" Barker is an American former television gam...sts for Animal Rights and the Sea Shepherd Conservation Society., has type TV Program Creator

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

[Assistant] From the examples, the property "fb:people.person.place_of_birth" is used to find the place of birth of a person. Next, I will search for the entity "Terry Waite" in the knowledge graph to get his identifier.

[Tool]
Top 10 entity alternatives:
1. Terry Waite (fb:m.013p_j): Terence Hardy "Terry" Waite, CBE is an English humanitarian and ... president of Emmaus UK, a charity for formerly homeless people., has type Author
2. Terry Waites (fb:m.05mrb5n): Terry Waites was an Australian rules footballer who played for C...lingwood's 1953 premiership team, in just his seventh VFL match., has type Athlete
3. Terry Waite Sez (fb:m.0n0ddq): has type Musical Recording
4. Terry Waite Sez (fb:m.0sgyp7): has type Musical Recording
5. Terry Waite Sez (fb:m.011740ty): has type Composition
6. Terry Waites (fb:m.0_6plwk): has type Musical Artist
7. Terry Waite Sez (fb:m.0mq49x1)
8. Terry Waite Sez (fb:m.0ltscgx)
9. Terry Waite Sez (fb:m.0lbq3dk)
10. Terry Waite April 1993 (fb:m.02b_7_h)

[Assistant] The entity for Terry Waite is fb:m.013p_j. Now I will query the place of birth for this entity using the property fb:people.person.place_of_birth.

[Tool]
Got 1 row and 1 column:
| placeOfBirth             |
| ------------------------ |
| Bollington (fb:m.01425k) |

[Assistant] Terry Waite was born in Bollington. I will now provide the final answer with the SPARQL query.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the place of birth of Terry Waite using the appropriate property from the Freebase knowledge graph. The answer 'Bollington' matches the query result and is accurate. The query returns the identifier of the place of birth as required. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?artType ?artTypeLabel WHERE {
  fb:m.04lg6 fb:visual_art.visual_artist.art_forms ?artType .
  OPTIONAL {
    ?artType rdfs:label ?artTypeLabel .
    FILTER ( lang( ?artTypeLabel ) = 'en' )
  }
}

Got 3 rows and 2 columns:
| artType                | artTypeLabel   |
| ---------------------- | -------------- |
| Drawing (fb:m.02csf)   | Drawing (en)   |
| Painting (fb:m.05qdh)  | Painting (en)  |
| Sculpture (fb:m.06msq) | Sculpture (en) |

Leonardo da Vinci did art in the forms of Drawing, Painting, and Sculpture.

[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 type of art leonardo da vinci do?

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

[Tool]
Example 1:
Question:
what kind of art did leonardo da vinci produce?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.04lg6 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.04lg6 fb:visual_art.visual_artist.art_forms ?x .
}

Using entities:
Leonardo da Vinci, also known as Da Vinci, Leonardo di ser Piero da Vinci, Leonardo DaVinci, Leonardo (fb:m.04lg6):     Leonardo di ser Piero da Vinci, April 15, 1452 – May 2, 1519..., their fame approached only by Michelangelo's Creation of Adamn, Leonardo di ser Piero da Vinci, more commonly Leonardo da Vinci,...hat the empirical methods he employed were unusual for his time., has type Visual Artist

Using properties:
Art Forms (fb:visual_art.visual_artist.art_forms): links to type Visual Art Form, part of Visual Artist schema

Example 2:
Question:
what were some inventions of leonardo da vinci?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.04lg6 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.04lg6 fb:law.inventor.inventions ?x .
}

Using entities:
Leonardo da Vinci, also known as Da Vinci, Leonardo di ser Piero da Vinci, Leonardo DaVinci, Leonardo (fb:m.04lg6):     Leonardo di ser Piero da Vinci, April 15, 1452 – May 2, 1519..., their fame approached only by Michelangelo's Creation of Adamn, Leonardo di ser Piero da Vinci, more commonly Leonardo da Vinci,...hat the empirical methods he employed were unusual for his time., has type Visual Artist

Using properties:
Inventions (fb:law.inventor.inventions): links to type Invention, part of Inventor schema

Example 3:
Question:
what inventions did leonardo da vinci made?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.04lg6 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.04lg6 fb:law.inventor.inventions ?x .
}

Using entities:
Leonardo da Vinci, also known as Da Vinci, Leonardo di ser Piero da Vinci, Leonardo DaVinci, Leonardo (fb:m.04lg6):     Leonardo di ser Piero da Vinci, April 15, 1452 – May 2, 1519..., their fame approached only by Michelangelo's Creation of Adamn, Leonardo di ser Piero da Vinci, more commonly Leonardo da Vinci,...hat the empirical methods he employed were unusual for his time., has type Visual Artist

Using properties:
Inventions (fb:law.inventor.inventions): links to type Invention, part of Inventor schema

[Assistant]
From the similar examples, it appears that Leonardo da Vinci is identified by the entity fb:m.04lg6 in Freebase. The property that relates a visual artist to the types of art they do is fb:visual_art.visual_artist.art_forms.

I will now write a SPARQL query to get the types of art Leonardo da Vinci did using this property.

[Tool]
Got 3 rows and 2 columns:
| artType                | artTypeLabel   |
| ---------------------- | -------------- |
| Drawing (fb:m.02csf)   | Drawing (en)   |
| Painting (fb:m.05qdh)  | Painting (en)  |
| Sculpture (fb:m.06msq) | Sculpture (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the types of art Leonardo da Vinci was involved in by querying the 'art_forms' property of the visual artist entity. The query returns the identifiers and English labels for the art types, which are Drawing, Painting, and Sculpture. The answer is accurate and complete based on the query results. No further refinement is necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?notableForLabel WHERE {
  fb:m.09482 fb:common.topic.notable_for ?notableFor .
  ?notableFor fb:common.notable_for.object fb:m.05z96 .
  OPTIONAL {
    fb:m.05z96 fb:type.object.name ?notableForLabel .
    FILTER ( lang( ?notableForLabel ) = 'en' )
  }
}

Got 1 row and 1 column:
| notableForLabel |
| --------------- |
| Poet (en)       |

Robert Burns was famous for being a poet.

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

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

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

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

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

[User] what was robert burns famous for?

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

[Tool]
Example 1:
Question:
what books did robert burns wrote?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.09482 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.09482 fb:book.author.works_written ?x .
}

Using entities:
Robert Burns, also known as The Bard, Scotland's favourite son, Robden of Solway Firth, Rabbie Burns, Bard of Ayrshire (fb:m.09482): Robert Burns was a Scottish poet and lyricist. He is widely rega...olk songs from across Scotland, often revising or adapting them., has type Author

Using properties:
Works written (fb:book.author.works_written): links to type Written Work, part of Author schema

Example 2:
Question:
what is jonathan swift famous for?

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

Using entities:
Jonathan Swift, also known as Isaac Bickerstaff, M.B. Drapier, Lemuel Gulliver, Dean Swift (fb:m.03_dj): Jonathan Swift was an Anglo-Irish satirist, essayist, political ...ter of two styles of satire, the Horatian and Juvenalian styles., has type Author

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

Example 3:
Question:
what was sherlock holmes famous for?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.06rkl ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.06rkl fb:fictional_universe.fictional_character.occupation ?x .
}

Using entities:
Sherlock Holmes, also known as William Sherlock Scott Holmes (fb:m.06rkl): Sherlock Holmes is a fictional character created by Scottish aut...on the story from memory, with Watson narrating the frame story., Sherlock Holmes is a fictional character from the 1984 film Sherlock Holmes and the Masks of Death., Sherlock Holmes is a fictional character from the book O Xangô de Baker Street by Jô Soares., Sherlock Holmes is a fictional character from the 1959 film The Hound of the Baskervilles., Sherlock Holmes is a fictional character from the 2002 film Case of Evil: Case of Evil., Sherlock Holmes is a fictional character from the 1932 film The Missing Rembrandt., has type Film character

Using properties:
Occupation (fb:fictional_universe.fictional_character.occupation): part of Fictional Character schema, links to type Character Occupation

[Assistant]
From the similar examples, it appears that Robert Burns is identified by the entity fb:m.09482 in Freebase. The examples suggest that to find what Robert Burns was famous for, we might look at properties like profession or works written.

I will now search for the entity Robert Burns to confirm the identifier and then look for relevant properties that describe what he was famous for.

[Tool]
Top 10 entity alternatives:
1. Robert Burns, also known as The Bard, Scotland's favourite son, Robden of Solway Firth, Rabbie Burns, Bard of Ayrshire (fb:m.09482): Robert Burns was a Scottish poet and lyricist. He is widely rega...olk songs from across Scotland, often revising or adapting them., has type Author
2. Robert Hunter, also known as Hunter, Robert, Robert Burns, Robert C. Hunter (fb:m.01b71y): Robert C. Hunter is an American lyricist, singer-songwriter, tra...ful Dead and for collaborating with singer-songwriter Bob Dylan., has type Musical Artist
3. Bob Burns, also known as The Arkansas Traveler, The Arkansas Philosopher, Robin Burn, Robert Burns, Bob 'Bazooka' Burns (fb:m.08swmy): Robin "Bob" Burns was an American musical comedian, who appeared... handheld anti-tank rocket launcher was nicknamed the "bazooka"., has type TV Personality
4. Bobby Burns, also known as Robert Burns, Robert Paul Burns, Robert P. Burns (fb:m.02z0vhk): Robert Paul "Bobby" Burns was an American film actor and directo...dios in several of their early short comedies and feature films., has type Film director
5. Bob Burns, also known as Robert Burns, Rob Rurns, Rob Burns, Kogar, Bob Burns III (fb:m.0cmcps7): Bob Burns is an actor, consultant, producer, archivist and histo...acy the Gorilla from the 1975 television show The Ghost Busters., has type Film actor
6. Bob Burns, also known as Robert Burns, Tom Burns, Robert E. Burns, Bobby Burns (fb:m.0hmx33v): Bob Burns was an actor., has type Film actor
7. Robert Burns (fb:m.03h4pmf): Robert Burns was a politician, attorney and union activist from Quebec, Canada., has type Film actor
8. Robert Burns (fb:m.02rr6kv): Robert Burns was an American and a U.S. Representative from New Hampshire., has type U.S. Congressperson
9. Robert Burns (fb:m.076yrz9): Robert Burns was a Scottish painter and designer, of the Art nou... becoming the Head of Painting, at the Edinburgh College of Art., has type Deceased Person
10. Robert Burns (fb:m.0wdynj9): Robert Burns was an American attorney and politician from the U.S. state of Oklahoma. He served as Lieutenant Governor of Oklahoma., has type Politician

[Assistant]
The entity Robert Burns we are interested in is the first one: fb:m.09482. He is described as a Scottish poet and lyricist, which aligns with what he is famous for.

Next, I will search for properties of this entity that might indicate what he was famous for, such as profession, occupation, or works written.

[Tool]
Top 10 property alternatives:
1. Notable for (fb:common.topic.notable_for): links to type notable_for, part of Topic schema
2. Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
3. Name (fb:type.object.name): part of Object schema, links to type Text
4. Also known as (fb:common.topic.alias): part of Topic schema, links to type Text
5. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
6. Things named after this (fb:symbols.name_source.namesakes): part of Name source schema, links to type Namesake
7. Influenced (fb:influence.influence_node.influenced): part of Influence Node schema, links to type Influence Node
8. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
9. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
10. Member of (fb:organization.organization_member.member_of): links to type Organization membership, part of Organization member schema

No other items found

[Assistant] The property "Notable for" (fb:common.topic.notable_for) seems to be the most relevant to what Robert Burns was famous for. I will now query the values of this property for Robert Burns (fb:m.09482).

[Tool]
Got 1 row and 2 columns:
| notableFor     | notableForLabel |
| -------------- | --------------- |
| fb:g.125d0652h |                 |

[Assistant] Robert Burns is notable for the entity fb:g.125d0652h. I will now look up the label or description of this entity to understand what it represents.

[Tool] Got no rows and 1 columns

[Assistant] There is no English label for the entity fb:g.125d0652h. I will try to get a broader description or other properties of this entity to understand what Robert Burns was famous for.

[Tool]
Got 50 rows and 3 columns, showing the first 10 rows below:
| subject        | property                                              | object                              |
| -------------- | ----------------------------------------------------- | ----------------------------------- |
| fb:g.125d0652h | Display name (fb:common.notable_for.display_name)     | Básnik (sk)                         |
| fb:g.125d0652h | Type (fb:type.object.type)                            | notable_for (fb:common.notable_for) |
| fb:g.125d0652h | notable object (fb:common.notable_for.notable_object) | Poet (fb:m.05z96)                   |
| fb:g.125d0652h | Predicate (fb:common.notable_for.predicate)           | /people/person/profession           |
| fb:g.125d0652h | rdf:type                                              | notable_for (fb:common.notable_for) |
| fb:g.125d0652h | fb:common.notable_for.object                          | Poet (fb:m.05z96)                   |
| fb:g.125d0652h | Display name (fb:common.notable_for.display_name)     | Básník (cs)                         |
| fb:g.125d0652h | Display name (fb:common.notable_for.display_name)     | Dichter (de)                        |
| fb:g.125d0652h | Display name (fb:common.notable_for.display_name)     | Dichter (nl)                        |
| fb:g.125d0652h | Display name (fb:common.notable_for.display_name)     | Digter (da)                         |
| ...            | ...                                                   | ...                                 |

[Assistant]
The notable_for entity fb:g.125d0652h is linked to the object "Poet" (fb:m.05z96) as the notable object and is associated with the profession of a person. This indicates that Robert Burns was famous for being a poet.

I will now finalize the answer with this information.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The system correctly identified that Robert Burns was famous for being a poet, which is accurate and directly answers the user's question. The SPARQL query retrieves the notable_for property for Robert Burns and filters for the label in English, returning 'Poet'. The query and answer are appropriate and complete for the question asked.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?college ?collegeLabel WHERE {
  fb:m.04lvwk fb:people.person.education ?education .
  ?education fb:education.education.institution ?college .
  OPTIONAL {
    ?college rdfs:label ?collegeLabel
  }
}

Got 27 rows and 2 columns, showing the first 5 and last 5 rows below:
| college                                             | collegeLabel                               |
| --------------------------------------------------- | ------------------------------------------ |
| University of Arkansas (fb:m.01rc6f)                | Arkansas’n yliopisto (fi)                  |
| University of Arkansas (fb:m.01rc6f)                | Đại học Arkansas (vi)                      |
| University of Arkansas (fb:m.01rc6f)                | Universidad de Arkansas (es)               |
| University of Arkansas (fb:m.01rc6f)                | Universidade do Arkansas (pt)              |
| University of Arkansas (fb:m.01rc6f)                | Università dell'Arkansas (it)              |
| ...                                                 | ...                                        |
| University of Arkansas at Little Rock (fb:m.07dtym) | University of Arkansas at Little Rock (de) |
| University of Arkansas at Little Rock (fb:m.07dtym) | University of Arkansas at Little Rock (en) |
| University of Arkansas at Little Rock (fb:m.07dtym) | Πανεπιστήμιο Αρκάνσας Λιτλ Ροκ (el)        |
| University of Arkansas at Little Rock (fb:m.07dtym) | دانشگاه آرکنسا در لیتل راک (fa)            |
| University of Arkansas at Little Rock (fb:m.07dtym) | 阿肯色大學小石城分校 (zh-Hant)                       |

Derek Fisher went to the University of Arkansas and the University of Arkansas at Little Rock.

[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 derek fisher go to college?

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

[Tool]
Example 1:
Question:
who do derek fisher play for?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.04lvwk ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.04lvwk fb:base.schemastaging.athlete_extra.salary ?y .
  ?y fb:base.schemastaging.athlete_salary.team ?x .
}

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

Using properties:
Salary (fb:base.schemastaging.athlete_extra.salary): part of Athlete extra schema, links to type Athlete salary
Team (fb:base.schemastaging.athlete_salary.team): links to type Sports team extra, part of Athlete salary schema

Example 2:
Question:
what team does derek fisher play for 2012?

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

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

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

Example 3:
Question:
what college did russell wilson go to?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.05c10yf ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.05c10yf fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:common.topic.notable_types fb:m.01y2hnl .
}

Using entities:
College/University, also known as College, University (fb:m.01y2hnl): The College/University type is used for institutions that offer ...mation, please see the Freebase wiki page on College/University.
Russell Wilson (fb:m.05c10yf): Russell Carrington Wilson is an American football quarterback fo...econd highest rated NFL passer of all time behind Aaron Rodgers., has type American football player

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
Education (fb:people.person.education): links to type Education, part of Person schema

[Assistant]
From the examples, I see that Derek Fisher is identified as fb:m.04lvwk in Freebase. The example for a similar question about college for Russell Wilson uses the property fb:people.person.education and then fb:education.education.institution to get the college/university.

I will now construct a query to find the college Derek Fisher went to using these properties.

[Tool]
Got 27 rows and 2 columns, showing the first 5 and last 5 rows below:
| college                                             | collegeLabel                               |
| --------------------------------------------------- | ------------------------------------------ |
| University of Arkansas (fb:m.01rc6f)                | Arkansas’n yliopisto (fi)                  |
| University of Arkansas (fb:m.01rc6f)                | Đại học Arkansas (vi)                      |
| University of Arkansas (fb:m.01rc6f)                | Universidad de Arkansas (es)               |
| University of Arkansas (fb:m.01rc6f)                | Universidade do Arkansas (pt)              |
| University of Arkansas (fb:m.01rc6f)                | Università dell'Arkansas (it)              |
| ...                                                 | ...                                        |
| University of Arkansas at Little Rock (fb:m.07dtym) | University of Arkansas at Little Rock (de) |
| University of Arkansas at Little Rock (fb:m.07dtym) | University of Arkansas at Little Rock (en) |
| University of Arkansas at Little Rock (fb:m.07dtym) | Πανεπιστήμιο Αρκάνσας Λιτλ Ροκ (el)        |
| University of Arkansas at Little Rock (fb:m.07dtym) | دانشگاه آرکنسا در لیتل راک (fa)            |
| University of Arkansas at Little Rock (fb:m.07dtym) | 阿肯色大學小石城分校 (zh-Hant)                       |

[Assistant] Derek Fisher went to the University of Arkansas and also the University of Arkansas at Little Rock. I will now provide the final answer with this information.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the educational institutions Derek Fisher attended by querying the education property and the institution linked to it. The answer given matches the query results, listing the University of Arkansas and the University of Arkansas at Little Rock. The query also optionally retrieves labels for the institutions, which is good for readability. The query returns multiple rows due to labels in different languages, but the main entities are correct. Overall, the output is correct and complete.