PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?actor ?actorLabel WHERE {
  {
    fb:m.0f1bg fb:film.film_character.portrayed_in_films ?filmPerf .
    ?filmPerf fb:film.performance.actor ?actor .
  } UNION {
    fb:m.0f1bg fb:tv.tv_character.appeared_in_tv_program ?tvPerf .
    ?tvPerf fb:tv.regular_tv_appearance.actor ?actor .
  }
  OPTIONAL {
    ?actor rdfs:label ?actorLabel
  }
}

Got 47 rows and 2 columns, showing the first 5 and last 5 rows below:
| actor                     | actorLabel          |
| ------------------------- | ------------------- |
| Mark Hamill (fb:m.0154d7) | Markas Hamilas (lt) |
| Mark Hamill (fb:m.0154d7) | Mark Hamill (ca)    |
| Mark Hamill (fb:m.0154d7) | Mark Hamill (da)    |
| Mark Hamill (fb:m.0154d7) | Mark Hamill (de)    |
| Mark Hamill (fb:m.0154d7) | Mark Hamill (en)    |
| ...                       | ...                 |
| Bob Bergen (fb:m.07l4yc)  | Bob Bergen (ro)     |
| Bob Bergen (fb:m.07l4yc)  | Bobs Bergens (lv)   |
| Bob Bergen (fb:m.07l4yc)  | باب برگن (fa)       |
| Bob Bergen (fb:m.07l4yc)  | บ็อบ เบอร์เกิน (th) |
| Bob Bergen (fb:m.07l4yc)  | ボブ・バーゲン (ja)        |

Actors who have played Luke Skywalker include Mark Hamill (fb:m.0154d7) and Bob Bergen (fb:m.07l4yc), among others. The query returns all actors who have portrayed Luke Skywalker in films or TV, with their IRIs and optional labels.

[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 similar examples show that "Luke Skywalker" is represented by the entity fb:m.0f1bg in Freebase. The main properties used to find who played Luke Skywalker are:

- fb:film.film_character.portrayed_in_films (for films)
- fb:film.performance.actor (for the actor in a film performance)
- fb:tv.tv_character.appeared_in_tv_program (for TV)
- fb:tv.regular_tv_appearance.actor (for the actor in a TV appearance)

The most direct answer for "who would play Luke Skywalker?" is to query for all actors who have portrayed Luke Skywalker in films and TV.

I will construct a query that retrieves all actors who have played Luke Skywalker in both films and TV, returning their IRIs and optionally their labels.

[Tool]
Got 47 rows and 2 columns, showing the first 5 and last 5 rows below:
| actor                     | actorLabel          |
| ------------------------- | ------------------- |
| Mark Hamill (fb:m.0154d7) | Markas Hamilas (lt) |
| Mark Hamill (fb:m.0154d7) | Mark Hamill (ca)    |
| Mark Hamill (fb:m.0154d7) | Mark Hamill (da)    |
| Mark Hamill (fb:m.0154d7) | Mark Hamill (de)    |
| Mark Hamill (fb:m.0154d7) | Mark Hamill (en)    |
| ...                       | ...                 |
| Bob Bergen (fb:m.07l4yc)  | Bob Bergen (ro)     |
| Bob Bergen (fb:m.07l4yc)  | Bobs Bergens (lv)   |
| Bob Bergen (fb:m.07l4yc)  | باب برگن (fa)       |
| Bob Bergen (fb:m.07l4yc)  | บ็อบ เบอร์เกิน (th) |
| Bob Bergen (fb:m.07l4yc)  | ボブ・バーゲン (ja)        |

[Tool] Stopped generation process


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

Got 8 rows and 2 columns:
| invention                                  | invention_label                  |
| ------------------------------------------ | -------------------------------- |
| 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
- 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]
The similar examples show that the entity for Thomas Edison is fb:m.07bty and the property for inventions is fb:law.inventor.inventions. To provide a more informative answer, I will also try to include labels for the inventions.

Here is the SPARQL query I will use:

```sparql
SELECT DISTINCT ?invention ?invention_label WHERE {
  fb:m.07bty fb:law.inventor.inventions ?invention .
  OPTIONAL { ?invention rdfs:label ?invention_label . FILTER (lang(?invention_label) = "en") }
  FILTER ( ?invention != fb:m.07bty )
}
```

Now, I will execute this query to get the list of inventions by Thomas Edison, including their labels.

[Tool]
Got 8 rows and 2 columns:
| invention                                  | invention_label                  |
| ------------------------------------------ | -------------------------------- |
| 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


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?cause ?causeLabel WHERE {
  fb:m.0pj9t fb:people.deceased_person.cause_of_death ?cause .
  OPTIONAL {
    ?cause rdfs:label ?causeLabel .
    FILTER ( lang( ?causeLabel ) = '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]
The similar examples show that to answer "what did bobby darin die of?", I need to:

1. Find the Freebase entity for Bobby Darin.
2. Use the property fb:people.deceased_person.cause_of_death to get the cause of death.

Let's search for the Freebase entity for Bobby Darin first.

[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 top result, fb:m.0pj9t, is the correct Freebase entity for Bobby Darin, the American singer and songwriter.

Now, I will construct a SPARQL query to retrieve the cause of death for Bobby Darin using the property fb:people.deceased_person.cause_of_death.

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

[Tool]
Got 1 row and 2 columns:
| cause                                 | causeLabel                  |
| ------------------------------------- | --------------------------- |
| Surgical complications (fb:m.02wgfrh) | Surgical complications (en) |

[Tool] Stopped generation process


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

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

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

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

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

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

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

[User] what 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

[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

[Tool]
Top 10 property alternatives:
1. Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
2. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
3. Description (fb:common.topic.description): part of Topic schema, links to type Text
4. Key (fb:type.object.key): part of Object schema, links to type Key
5. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
6. Article (fb:common.topic.article): links to type Document, part of Topic schema
7. Type (fb:type.object.type): part of Object schema, links to type Type
8. Name (fb:type.object.name): part of Object schema, links to type Text
9. Profession (fb:people.person.profession): links to type Profession, part of Person schema
10. Gender (fb:people.person.gender): part of Person schema, links to type Gender

No other items found

[Tool]
Got 12 rows and 1 column, showing the first 5 and last 5 rows below:
| film                                                    |
| ------------------------------------------------------- |
| 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]
Got 131 rows and 2 columns, showing the first 5 and last 5 rows below:
| film                                        | filmLabel                         |
| ------------------------------------------- | --------------------------------- |
| Devil Dog: The Hound of Hell (fb:m.02r2r2j) | Devil Dog: The Hound of Hell (en) |
| Devil Dog: The Hound of Hell (fb:m.02r2r2j) | Devil Dog: The Hound of Hell (no) |
| Devil Dog: The Hound of Hell (fb:m.02r2r2j) | Devil Dog: The Hound of Hell (pt) |
| Tuff Turf (fb:m.02rl4qq)                    | Gang Tuff (pl)                    |
| Tuff Turf (fb:m.02rl4qq)                    | Gatans krigare (sv)               |
| ...                                         | ...                               |
| Black Snake Moan (fb:m.0ff1st)              | Стогін чорної змії (uk)           |
| Black Snake Moan (fb:m.0ff1st)              | Стон черной змеи (ru)             |
| Black Snake Moan (fb:m.0ff1st)              | אנחת הנחש השחור (iw)              |
| Black Snake Moan (fb:m.0ff1st)              | 블랙 스네이크 몬 (ko)                    |
| Black Snake Moan (fb:m.0ff1st)              | ブラック・スネーク・モーン (ja)                |

[Tool]
Got 12 rows and 2 columns, showing the first 5 and last 5 rows below:
| film                                                    | label                                         |
| ------------------------------------------------------- | --------------------------------------------- |
| Devil Dog: The Hound of Hell (fb:m.02r2r2j)             | Devil Dog: The Hound of Hell (en)             |
| Tuff Turf (fb:m.02rl4qq)                                | Tuff Turf (en)                                |
| Escape to Witch Mountain (fb:m.04f2h9q)                 | Escape to Witch Mountain (en)                 |
| Race to Witch Mountain (fb:m.04f76fm)                   | Race to Witch Mountain (en)                   |
| Nanny and the Professor (fb:m.05dj6dc)                  | Nanny and the Professor (en)                  |
| ...                                                     | ...                                           |
| The Car (fb:m.08dyxd)                                   | The Car (en)                                  |
| The Whiz Kid and the Mystery at Riverton (fb:m.0bfmjvh) | The Whiz Kid and the Mystery at Riverton (en) |
| No Deposit, No Return (fb:m.0d1_kl)                     | No Deposit, No Return (en)                    |
| Raid on Entebbe (fb:m.0dnh5w)                           | Raid on Entebbe (en)                          |
| Black Snake Moan (fb:m.0ff1st)                          | Black Snake Moan (en)                         |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?x ?xLabel 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 ) OPTIONAL {
    ?x rdfs:label ?xLabel .
    FILTER ( lang( ?xLabel ) = 'en' )
  }
}

Got 2 rows and 2 columns:
| x                                  | xLabel                     |
| ---------------------------------- | -------------------------- |
| 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 WWII 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]
The most relevant example is the first one, which finds the President of the United States during World War II by matching the time periods of the presidency and the war. The leader of the US during WWII would be the President.

The entities used are:
- President of the United States: fb:m.060d2
- World War II: fb:m.081pw

The properties used are:
- fb:government.politician.government_positions_held
- fb:government.government_position_held.office_position_or_title
- fb:government.government_position_held.from
- fb:government.government_position_held.to
- fb:time.event.start_date
- fb:time.event.end_date

The example query does not return labels, so I will add an OPTIONAL clause to get the label of the person.

I will now construct the SPARQL query accordingly.

[Tool]
Got 82 rows and 2 columns, showing the first 5 and last 5 rows below:
| x                                  | xLabel                         |
| ---------------------------------- | ------------------------------ |
| Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (ca) |
| Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (cs) |
| Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (et) |
| Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (fr) |
| Franklin D. Roosevelt (fb:m.02yy8) | Franklin Delano Roosevelt (hr) |
| ...                                | ...                            |
| Harry S. Truman (fb:m.09bg4l)      | แฮร์รี เอส. ทรูแมน (th)        |
| Harry S. Truman (fb:m.09bg4l)      | 해리 S. 트루먼 (ko)                 |
| Harry S. Truman (fb:m.09bg4l)      | ハリー・S・トルーマン (ja)               |
| Harry S. Truman (fb:m.09bg4l)      | 哈瑞·S·杜魯門 (zh-Hant)             |
| Harry S. Truman (fb:m.09bg4l)      | 哈里·S·杜鲁门 (zh)                  |

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

[Tool] Stopped generation process


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

Terry Waite was born in Bollington (fb:m.01425k).

[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 similar examples, the approach is to:
1. Find the Freebase entity for "Terry Waite".
2. Use the property fb:people.person.place_of_birth to get the place of birth.

Let's search for the Freebase entity for "Terry Waite".

[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 correct entity for Terry Waite (the English humanitarian and author) is fb:m.013p_j.

Now, I will construct a SPARQL query to get his place of birth using the property fb:people.person.place_of_birth.

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

[Tool]
Got 6 rows and 2 columns:
| place                    | placeLabel      |
| ------------------------ | --------------- |
| Bollington (fb:m.01425k) | Bollington (en) |
| Bollington (fb:m.01425k) | Bollington (it) |
| Bollington (fb:m.01425k) | Bollington (nl) |
| Bollington (fb:m.01425k) | Bollington (pl) |
| Bollington (fb:m.01425k) | Bollington (ro) |
| Bollington (fb:m.01425k) | بولینگتون (fa)  |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?art_form ?art_form_label WHERE {
  fb:m.04lg6 fb:visual_art.visual_artist.art_forms ?art_form .
  OPTIONAL {
    ?art_form rdfs:label ?art_form_label .
  }
}

Got 126 rows and 2 columns, showing the first 5 and last 5 rows below:
| art_form               | art_form_label   |
| ---------------------- | ---------------- |
| Drawing (fb:m.02csf)   | Çizim (tr)       |
| Drawing (fb:m.02csf)   | Crtež (hr)       |
| Drawing (fb:m.02csf)   | Desegnaĵo (eo)   |
| Drawing (fb:m.02csf)   | Desen (ro)       |
| Drawing (fb:m.02csf)   | Desenho (pt)     |
| ...                    | ...              |
| Sculpture (fb:m.06msq) | ประติมากรรม (th) |
| Sculpture (fb:m.06msq) | 조각 (ko)          |
| Sculpture (fb:m.06msq) | 彫刻 (ja)          |
| Sculpture (fb:m.06msq) | 雕塑 (zh)          |
| Sculpture (fb:m.06msq) | 雕塑 (zh-Hant)     |

This query returns the types of art (art forms) that Leonardo da Vinci produced, along with their labels if available.

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

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

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

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

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

[User] 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 example, the entity for Leonardo da Vinci is fb:m.04lg6, and the property for the type of art he produced is fb:visual_art.visual_artist.art_forms. The example query retrieves the art forms associated with Leonardo da Vinci.

I will use this structure but also try to include labels for the art forms for better readability. Here is the SPARQL query:

```sparql
SELECT DISTINCT ?art_form ?art_form_label WHERE {
  fb:m.04lg6 fb:visual_art.visual_artist.art_forms ?art_form .
  OPTIONAL { ?art_form rdfs:label ?art_form_label . }
}
```

Now, I will provide this as the answer.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?profession WHERE {
  fb:m.09482 fb:people.person.profession ?profession .
}

Got 4 rows and 1 column:
| profession          |
| ------------------- |
| Poet (fb:m.05z96)   |
| Writer (fb:m.0cbd2) |
| Bard (fb:m.0knj1)   |
| Author (fb:m.0kyk)  |

Robert Burns was famous for being a writer, author, poet, and bard.

[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, there are two main approaches to "what was X famous for?":

1. Looking up the person's profession (as in the Jonathan Swift example).
2. Looking up works written or created by the person (as in the Robert Burns books example).

Since Robert Burns is a real person and not a fictional character, the most relevant property is likely "profession" (fb:people.person.profession). Let's verify that Robert Burns is in Freebase and get his identifier, then check his professions.

From the examples, Robert Burns is fb:m.09482. Let's check what professions are linked to this entity.

[Tool]
Got 910 rows and 3 columns, showing the first 10 rows below:
| subject                   | property                                                            | object                                                                   |
| ------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Robert Burns (fb:m.09482) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Robert Burns (fb:m.09482) | Key (fb:type.object.key)                                            | /authority/daylife/topic/0dMf5y36ZGeWX                                   |
| Robert Burns (fb:m.09482) | Name (fb:type.object.name)                                          | Robert Burns (ca)                                                        |
| Robert Burns (fb:m.09482) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%31%48%28%31%2A_%28%31%46%32>              |
| Robert Burns (fb:m.09482) | Notable for (fb:common.topic.notable_for)                           | fb:g.125d0652h                                                           |
| Robert Burns (fb:m.09482) | Notable types (fb:common.topic.notable_types)                       | Author (fb:m.01xryvt)                                                    |
| Robert Burns (fb:m.09482) | Description (fb:common.topic.description)                           | Robert Burns adalah seorang peny...ipilnya sering pada yang tumpul. (id) |
| Robert Burns (fb:m.09482) | Recordings (fb:music.artist.track)                                  | Lassie Wi' The Lintwhite Locks (Ian Bruce) (fb:m.0g6mn_b)                |
| Robert Burns (fb:m.09482) | Article (fb:common.topic.article)                                   | fb:m.0948c                                                               |
| Robert Burns (fb:m.09482) | Also known as (fb:common.topic.alias)                               | Bard of Ayrshire (en)                                                    |
| ...                       | ...                                                                 | ...                                                                      |

[Tool]
Got 4 rows and 3 columns:
| subject                   | property                                 | object              |
| ------------------------- | ---------------------------------------- | ------------------- |
| Robert Burns (fb:m.09482) | Profession (fb:people.person.profession) | Writer (fb:m.0cbd2) |
| Robert Burns (fb:m.09482) | Profession (fb:people.person.profession) | Author (fb:m.0kyk)  |
| Robert Burns (fb:m.09482) | Profession (fb:people.person.profession) | Poet (fb:m.05z96)   |
| Robert Burns (fb:m.09482) | Profession (fb:people.person.profession) | Bard (fb:m.0knj1)   |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?college WHERE {
  fb:m.04lvwk fb:people.person.education ?edu .
  ?edu fb:education.education.institution ?college .
  ?college fb:common.topic.notable_types fb:m.01y2hnl .
}

Got 2 rows and 1 column:
| college                                             |
| --------------------------------------------------- |
| University of Arkansas (fb:m.01rc6f)                |
| University of Arkansas at Little Rock (fb:m.07dtym) |

Derek Fisher went to the University of Arkansas at Little Rock (fb:m.07dtym) and the University of Arkansas (fb:m.01rc6f).

[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 similar example for "what college did russell wilson go to?", I see that:

- The entity for Russell Wilson is fb:m.05c10yf, and for Derek Fisher it is fb:m.04lvwk.
- The property for education is fb:people.person.education.
- The property for the institution is fb:education.education.institution.
- The type for College/University is fb:m.01y2hnl.

So, to answer "where did derek fisher go to college?", I should use Derek Fisher's entity and retrieve the educational institutions he attended, filtering for those of type College/University.

I'll now write a SPARQL query similar to the example, but for Derek Fisher.

[Tool]
Got 2 rows and 1 column:
| college                                             |
| --------------------------------------------------- |
| University of Arkansas (fb:m.01rc6f)                |
| University of Arkansas at Little Rock (fb:m.07dtym) |

[Tool]
Got 26 rows and 2 columns, showing the first 5 and last 5 rows below:
| college                                             | label                                      |
| --------------------------------------------------- | ------------------------------------------ |
| 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)                       |

[Tool] Stopped generation process