PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?actor WHERE {
  fb:m.0f1bg fb:film.film_character.portrayed_in_films ?performance .
  ?performance fb:film.performance.actor ?actor
}

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] Based on the examples, it seems like the entity for Luke Skywalker is `fb:m.0f1bg`. We need to find the actors who portrayed him in films. Let's first confirm the entity for Luke Skywalker.

[Tool]
Top 10 entity alternatives:
1. 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
2. Cordalis, also known as Luke Skywalker, Lucas Cordalis, Cordalis, Lucas, Cordalis Kiki, Cordalis Lucas (fb:m.01rb8py): has type Musical Artist
3. Luke Skywalker (fb:m.0p5tmv): has type Musical Recording
4. Luke Skywalker (fb:m.012kfjk): has type Musical Recording
5. Luke Skywalker, also known as Luke Skywalker (2005 digital remaster) (fb:m.0mkhsl): has type Musical Recording
6. Luke Skywalker (fb:m.0_ds_24): has type Musical Recording
7. Luke Skywalker (fb:m.037p644): has type Musical Release
8. Luke Skywalker (fb:m.01rs802): has type Musical Album
9. Luke Skywalker, also known as Skywalker, Luke (fb:m.0dsvzw7): has type Musical Artist
10. Luke Skywalker (fb:m.0fqwlcc): has type Musical Recording

[Assistant]
The correct entity for Luke Skywalker is indeed `fb:m.0f1bg`. Now let's look at the properties that connect Luke Skywalker to the actors who played him. Based on the examples, we can use the property `fb:film.film_character.portrayed_in_films` to find the performances and then `fb:film.performance.actor` to find the actors.

Let's construct the SPARQL query to find the actors who played Luke Skywalker.

[Tool]
Got 2 rows and 1 column:
| actor                     |
| ------------------------- |
| Mark Hamill (fb:m.0154d7) |
| Bob Bergen (fb:m.07l4yc)  |

[Assistant]
The SPARQL query returned two actors who played Luke Skywalker: Mark Hamill and Bob Bergen.

Mark Hamill is well-known for his portrayal of Luke Skywalker in the Star Wars films, while Bob Bergen is less commonly associated with the role. However, Bob Bergen might have voiced Luke Skywalker in some animated adaptations or video games.

Let's finalize the answer with the SPARQL query and the result.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The provided SPARQL query correctly identifies the actors who have played Luke Skywalker. The answer is accurate and complete based on the information available in the Freebase knowledge graph.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?invention WHERE {
  fb:m.07bty fb:law.inventor.inventions ?invention .
}

Got 8 rows and 1 column:
| invention                                  |
| ------------------------------------------ |
| Movie camera (fb:m.01cbh9)                 |
| Quadruplex telegraph (fb:m.02r0w8q)        |
| Electric Power Distribution (fb:m.03q9w5j) |
| Mimeograph (fb:m.0505x)                    |
| Phonograph (fb:m.063md)                    |
| Incandescent light bulb (fb:m.0cpk7)       |
| Carbon microphone (fb:m.0d9fkw)            |
| Phonograph cylinder (fb:m.0xrxw)           |

Thomas Edison invented the following: - 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] Based on the examples, we can see that the entity for Thomas Edison is `fb:m.07bty` and the property for his inventions is `fb:law.inventor.inventions`. Let's construct a SPARQL query to list all the inventions of Thomas Edison.

[Tool]
Got 8 rows and 1 column:
| invention                                  |
| ------------------------------------------ |
| Movie camera (fb:m.01cbh9)                 |
| Quadruplex telegraph (fb:m.02r0w8q)        |
| Electric Power Distribution (fb:m.03q9w5j) |
| Mimeograph (fb:m.0505x)                    |
| Phonograph (fb:m.063md)                    |
| Incandescent light bulb (fb:m.0cpk7)       |
| Carbon microphone (fb:m.0d9fkw)            |
| Phonograph cylinder (fb:m.0xrxw)           |

[Assistant]
The SPARQL query successfully retrieved the inventions of Thomas Edison. Here is the final answer:

**Answer:** Thomas Edison invented the following:
- Movie camera
- Quadruplex telegraph
- Electric Power Distribution
- Mimeograph
- Phonograph
- Incandescent light bulb
- Carbon microphone
- Phonograph cylinder

Here is the final SPARQL query:

```sparql
SELECT DISTINCT ?invention WHERE {
  fb:m.07bty fb:law.inventor.inventions ?invention .
}
```

Let's finalize the answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query is correct and returns the expected results. The list of inventions attributed to Thomas Edison is accurate based on the provided execution result. No further refinements are necessary.


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

Got 3 rows and 2 columns:
| causeOfDeath                          | causeOfDeathLabel              |
| ------------------------------------- | ------------------------------ |
| Surgical complications (fb:m.02wgfrh) | Complicazioni chirurgiche (it) |
| Surgical complications (fb:m.02wgfrh) | Powikłania pooperacyjne (pl)   |
| 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] Based on the examples, we need to identify Bobby Darin's entity and the cause of death property. Let's first search for Bobby Darin's entity.

[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 seems to be the correct entity for Bobby Darin. Now let's confirm the cause of death property.

[Tool]
Top 10 property alternatives:
1. Cause of death (fb:base.fictionaluniverse.deceased_fictional_character.cause_of_death): part of Deceased Fictional Character schema, links to type Cause Of Death
2. Cause of death (fb:people.deceased_person.cause_of_death): part of Deceased Person schema, links to type Cause Of Death
3. Includes causes of death (fb:people.cause_of_death.includes_causes_of_death): part of Cause Of Death schema, links to type Cause Of Death
4. related causes of death (fb:user.teeler.default_domain.death_euphemism.related_causes): part of Death Euphemism schema, links to type Cause Of Death
5. Parent cause of death (fb:people.cause_of_death.parent_cause_of_death): part of Cause Of Death schema, links to type Cause Of Death
6. Deaths (fb:amusement_parks.accident.deaths): part of Amusement Ride Accident schema, links to type Integer
7. Place of death (fb:biology.deceased_organism.place_of_death): part of Deceased Organism schema, links to type Location
8. Place of death (fb:base.fictionaluniverse.deceased_fictional_character.place_of_death): part of Deceased Fictional Character schema, links to type Fictional Setting
9. Place of death (fb:people.deceased_person.place_of_death): part of Deceased Person schema, links to type Location
10. Date of death (fb:base.thoroughbredracing.thoroughbred_racehorse.date_of_death): part of Thoroughbred racehorse schema, links to type Date/Time

[Assistant]
The second result, `fb:people.deceased_person.cause_of_death`, appears to be the correct property for the cause of death. We can now construct our SPARQL query to find out what Bobby Darin died of.

Let's execute the SPARQL query:

```sparql
SELECT DISTINCT ?causeOfDeath WHERE {
  fb:m.0pj9t fb:people.deceased_person.cause_of_death ?causeOfDeath .
}
```

This query will retrieve the cause of death for Bobby Darin.

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

[Assistant]
The SPARQL query returned that Bobby Darin died of surgical complications.

To provide a more complete answer, let's also fetch the label for the cause of death.

```sparql
SELECT DISTINCT ?causeOfDeath ?causeOfDeathLabel WHERE {
  fb:m.0pj9t fb:people.deceased_person.cause_of_death ?causeOfDeath .
  OPTIONAL { ?causeOfDeath rdfs:label ?causeOfDeathLabel . }
}
```

This query will include the label for the cause of death if it exists.

[Tool]
Got 3 rows and 2 columns:
| causeOfDeath                          | causeOfDeathLabel              |
| ------------------------------------- | ------------------------------ |
| Surgical complications (fb:m.02wgfrh) | Complicazioni chirurgiche (it) |
| Surgical complications (fb:m.02wgfrh) | Powikłania pooperacyjne (pl)   |
| Surgical complications (fb:m.02wgfrh) | Surgical complications (en)    |

[Assistant]
The SPARQL query returned multiple labels for the cause of death, including the English label "Surgical complications."

Therefore, Bobby Darin died of surgical complications.

Here is the final SPARQL query and answer:

```sparql
SELECT DISTINCT ?causeOfDeath ?causeOfDeathLabel WHERE {
  fb:m.0pj9t fb:people.deceased_person.cause_of_death ?causeOfDeath .
  OPTIONAL { ?causeOfDeath rdfs:label ?causeOfDeathLabel . }
}
```

Answer: Bobby Darin died of surgical complications.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query returns the IRI of the cause of death and its label in multiple languages, which confirms that Bobby Darin died of surgical complications.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.08l257 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.08l257 fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
}

Got 12 rows and 1 column, showing the first 5 and last 5 rows below:
| x                                                       |
| ------------------------------------------------------- |
| 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 has been in the following films and TV shows: 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] Based on these examples, it seems like we need to find the films or TV shows that Kim Richards has been in. Let's first search for Kim Richards as an entity.

[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 top result, Kim Richards (fb:m.08l257), seems to be the correct person. Now let's construct a SPARQL query to find out what she has been in, using the pattern from the examples.

[Tool]
Got 12 rows and 1 column, showing the first 5 and last 5 rows below:
| x                                                       |
| ------------------------------------------------------- |
| 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)                          |

[Assistant]
The SPARQL query has successfully returned the films and TV shows that Kim Richards has been in. Here are some of them:

- 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
- Black Snake Moan

Now, let's finalize the answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query successfully retrieves all the films and TV shows that Kim Richards has been in, and the human-readable answer lists them accurately.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?leader 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 && ?to > ?start )
}

Got 2 rows and 1 column:
| leader                             |
| ---------------------------------- |
| Franklin D. Roosevelt (fb:m.02yy8) |
| Harry S. Truman (fb:m.09bg4l)      |

The leaders of the United States 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] Based on the examples, we need to identify the entity for World War II and the entity for the President of the United States. We will then use these entities to construct our SPARQL query.

[Tool]
Top 10 entity alternatives:
1. 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
2. World War III, also known as World War II, World War III (fb:m.0mkhlx): has type Musical Recording
3. World War II, also known as World War 2., World War Two. (fb:m.095slwx): has type Book Edition
4. World War II (fb:m.0c7xz1n): has type Book Edition
5. World War II (fb:m.04w9w8g): has type Book
6. World War II (fb:m.04xt71f): has type Book Edition
7. World War II (fb:m.05dpyk5): Histeria! introduces the Freedom League and learns why there is nothing to fear from Franklin D. Roosevelt., has type TV Episode
8. World War II (fb:m.0bbhwd2): has type Book Edition
9. World War II (fb:m.04wj71r): has type Book
10. World War 2, also known as World War 2, World War II (fb:m.012k8cv): has type Musical Recording

[Assistant] The first result, "World War II" (fb:m.081pw), seems to be the correct entity for World War II. Now let's search for the entity representing the President of the United States.

[Tool]
Top 10 entity alternatives:
1. 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
2. President of the United States (fb:m.0h5v7wv): President of the United States is a fictional character from the 2012 film Iron Sky., has type Film character
3. The President of the United States (fb:m.016_gy9): has type Musical Recording
4. President of America, also known as President of the United States (fb:m.0nf4fww): President of America is a fictional character from the 2002 film 6 Angels., has type Film character
5. The President of the United States (fb:m.0c8cjz4): has type Book Edition
6. The President of the United States (fb:m.0c8cjzr): has type Book Edition
7. The President of the United States (fb:m.0c4hf0f): has type Book
8. The President of the United States (fb:m.06gznbw): has type Book
9. President of the United States (fb:m.0hhlml2): President of the United States is a fictional character in Alternate History: Nazi's Win WW2., has type Film character
10. President of the United States (fb:m.0n5b4sz): President of the United States is a fictional character from the 2006 film The Moment After 2: The Awakening., has type Film character

[Assistant]
The first result, "President of the United States" (fb:m.060d2), seems to be the correct entity for the President of the United States.

Now, we can construct a SPARQL query to find the leader of the United States during World War II. We will use the `fb:time.event.start_date` and `fb:time.event.end_date` properties to get the dates of World War II, and the `fb:government.government_position_held.from` and `fb:government.government_position_held.to` properties to check if the term of the President overlaps with the duration of World War II.

Let's write and execute the SPARQL query.

[Tool]
Got 2 rows and 1 column:
| leader                             |
| ---------------------------------- |
| Franklin D. Roosevelt (fb:m.02yy8) |
| Harry S. Truman (fb:m.09bg4l)      |

[Assistant]
The SPARQL query returned two leaders of the United States during World War II: Franklin D. Roosevelt and Harry S. Truman. Franklin D. Roosevelt was the President for the majority of the war, and Harry S. Truman became President near the end of the war after Roosevelt's death.

Therefore, the leaders of the United States during World War II were Franklin D. Roosevelt and Harry S. Truman.

Here is the final SPARQL query and answer:

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query is well-formed and correctly identifies the leaders of the United States during World War II. The query returns the actual IRIs of the items and provides the expected results. No further refinements are necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?placeOfBirth ?label WHERE {
  fb:m.013p_j fb:people.person.place_of_birth ?placeOfBirth .
  OPTIONAL {
    ?placeOfBirth rdfs:label ?label
  }
}

Got 6 rows and 2 columns:
| placeOfBirth             | label           |
| ------------------------ | --------------- |
| 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)  |

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 these examples, we can see that the property `fb:people.person.place_of_birth` is used to represent the place of birth of a person. Let's now search for Terry Waite in the Freebase knowledge graph.

[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 first result, `Terry Waite (fb:m.013p_j)`, seems to be the correct entity for Terry Waite. Now let's construct a SPARQL query to find out where Terry Waite was born using the property `fb:people.person.place_of_birth`.

```sparql
SELECT DISTINCT ?placeOfBirth WHERE {
  fb:m.013p_j fb:people.person.place_of_birth ?placeOfBirth .
}
```

I will now execute this query.

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

[Assistant]
The query returned that Terry Waite was born in Bollington. To provide a more complete answer, let's also fetch the label for Bollington.

```sparql
SELECT DISTINCT ?placeOfBirth ?label WHERE {
  fb:m.013p_j fb:people.person.place_of_birth ?placeOfBirth .
  OPTIONAL { ?placeOfBirth rdfs:label ?label }
}
```

I will now execute this updated query.

[Tool]
Got 6 rows and 2 columns:
| placeOfBirth             | label           |
| ------------------------ | --------------- |
| 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)  |

[Assistant]
The query returned multiple labels for Bollington in different languages. The English label is "Bollington". Therefore, Terry Waite was born in Bollington.

Here is the final SPARQL query and answer:

```sparql
SELECT DISTINCT ?placeOfBirth ?label WHERE {
  fb:m.013p_j fb:people.person.place_of_birth ?placeOfBirth .
  OPTIONAL { ?placeOfBirth rdfs:label ?label }
}
```

Answer: Terry Waite was born in Bollington.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query returns the IRI of the place of birth along with its labels in different languages, which is sufficient to answer the question. Well done!


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?artForm WHERE {
  fb:m.04lg6 fb:visual_art.visual_artist.art_forms ?artForm .
}

Got 3 rows and 1 column:
| artForm                |
| ---------------------- |
| Drawing (fb:m.02csf)   |
| Painting (fb:m.05qdh)  |
| Sculpture (fb:m.06msq) |

Leonardo da Vinci was involved in several forms of visual arts including 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 examples, we see that the first example is the most relevant to our question. It uses the property `fb:visual_art.visual_artist.art_forms` to find the types of art produced by Leonardo da Vinci. Let's use this property in our query.

[Tool]
Got 3 rows and 1 column:
| artForm                |
| ---------------------- |
| Drawing (fb:m.02csf)   |
| Painting (fb:m.05qdh)  |
| Sculpture (fb:m.06msq) |

[Assistant]
Based on the results, Leonardo da Vinci was involved in several forms of visual arts including drawing, painting, and sculpture.

I will now provide the final answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query successfully retrieves the different types of visual arts that Leonardo da Vinci was involved in, which include drawing, painting, and sculpture. The query adheres to the rules and returns the actual identifiers of the items.


The query returned a list of notable works by Robert Burns, including poems and collections such as "Epitaph for James Smith," "Kilmarnock volume," "Sweet Afton," "To a Louse," and "Tam O'Shanter."

### Final Answer
Robert Burns was famous for being a poet and an author. Some of his notable works include "Epitaph for James Smith," "Kilmarnock volume," "Sweet Afton," "To a Louse," and "Tam O'Shanter."

Let's provide the final SPARQL query and answer.

### Final SPARQL Query
```sparql
SELECT DISTINCT ?profession ?label WHERE {
  fb:m.09482 fb:people.person.profession ?profession .
  OPTIONAL { ?profession rdfs:label ?label . }
}
UNION
SELECT DISTINCT ?work ?label WHERE {
  fb:m.09482 fb:book.author.works_written ?work .
  OPTIONAL { ?work rdfs:label ?label . }
}
```

### Final Answer
Robert Burns was famous for being a poet and an author. Some of his notable works include "Epitaph for James Smith," "Kilmarnock volume," "Sweet Afton," "To a Louse," and "Tam O'Shanter."

Let's provide the final SPARQL query and answer.

<tool_call>
{"name": "answer", "arguments": {"kg": "freebase", "sparql": "SELECT DISTINCT ?profession ?label WHERE { fb:m.09482 fb:people.person.profession ?profession . OPTIONAL { ?profession rdfs:label ?label . } } UNION SELECT DISTINCT ?work ?label WHERE { fb:m.09482 fb:book.author.works_written ?work . OPTIONAL { ?work rdfs:label ?label . } }", "answer": "Robert Burns was famous for being a poet and an author. Some of his notable works include 'Epitaph for James Smith,' 'Kilmarnock volume,' 'Sweet Afton,' 'To a Louse,' and 'Tam O\'Shanter.'"}}
</tool_call>

[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] Based on the examples, it seems like we need to find out what Robert Burns was famous for. We can look at his profession or notable works. Let's first identify the entity for Robert Burns.

[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 correct entity for Robert Burns is `fb:m.09482`. Now let's check the properties associated with this entity to see if we can find information about what he was famous for.

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

No other items found

[Assistant]
The property `Notable for` (`fb:common.topic.notable_for`) seems relevant to our question. Let's use this property in a SPARQL query to find out what Robert Burns was famous for.

### Step 1: Simple Query
We'll start with a simple query to fetch the notable for information.

```sparql
SELECT DISTINCT ?notableFor WHERE {
  fb:m.09482 fb:common.topic.notable_for ?notableFor .
}
```

Let's execute this query and see the results.

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

[Assistant]
The query returned an identifier `fb:g.125d0652h` for what Robert Burns was notable for. To understand what this identifier represents, we need to fetch its label.

### Step 2: Fetch Label
We'll modify the query to include the label of the notable for information.

```sparql
SELECT DISTINCT ?notableFor ?label WHERE {
  fb:m.09482 fb:common.topic.notable_for ?notableFor .
  OPTIONAL { ?notableFor rdfs:label ?label . }
}
```

Let's execute this updated query.

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

[Assistant]
It appears that the label for `fb:g.125d0652h` is not available. However, we can try to find more information about this identifier by listing the triples where it appears as the subject or object.

### Step 3: List Triples
Let's list the triples where `fb:g.125d0652h` appears to get more context.

```sparql
SELECT ?subject ?predicate ?object WHERE {
  { ?subject ?predicate fb:g.125d0652h }
  UNION
  { fb:g.125d0652h ?predicate ?object }
}
```

Let's execute this query to get more information.

[Tool]
Got 52 rows and 3 columns, showing the first 5 and last 5 rows below:
| subject                             | predicate                                             | object                              |
| ----------------------------------- | ----------------------------------------------------- | ----------------------------------- |
| notable_for (fb:common.notable_for) | Instance (fb:type.type.instance)                      |                                     |
| Robert Burns (fb:m.09482)           | Notable for (fb:common.topic.notable_for)             |                                     |
|                                     | Display name (fb:common.notable_for.display_name)     | Básnik (sk)                         |
|                                     | Display name (fb:common.notable_for.display_name)     | Básník (cs)                         |
|                                     | Display name (fb:common.notable_for.display_name)     | Dichter (de)                        |
| ...                                 | ...                                                   | ...                                 |
|                                     | notable object (fb:common.notable_for.notable_object) | Poet (fb:m.05z96)                   |
|                                     | fb:common.notable_for.object                          | Poet (fb:m.05z96)                   |
|                                     | Predicate (fb:common.notable_for.predicate)           | /people/person/profession           |
|                                     | Type (fb:type.object.type)                            | notable_for (fb:common.notable_for) |
|                                     | rdf:type                                              | notable_for (fb:common.notable_for) |

[Assistant]
From the results, we can see that `fb:g.125d0652h` is associated with the display names "Básnik" (Slovak), "Básník" (Czech), and "Dichter" (German), which all translate to "Poet" in English. Additionally, it is linked to the object "Poet" (`fb:m.05z96`).

### Step 4: Final Query
Given this information, we can conclude that Robert Burns was famous for being a poet. Let's finalize the SPARQL query to reflect this.

```sparql
SELECT DISTINCT ?notableFor ?label WHERE {
  fb:m.09482 fb:common.topic.notable_for ?notableFor .
  OPTIONAL { ?notableFor rdfs:label ?label . }
  FILTER (?notableFor = fb:m.05z96)
}
```

However, since the label is not directly available, we can simply state that Robert Burns was famous for being a poet based on the context we have.

### Final Answer
Robert Burns was famous for being a poet.

Let's provide the final SPARQL query and answer.

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The SPARQL query did not return any results, even though it seems to be constructed correctly based on the provided entities and properties. The issue might be with the specific value used in the FILTER clause. Try removing the FILTER clause to see if the query returns any results, and then we can narrow down the notable_for values if necessary.

[Assistant]
Thank you for the feedback. Let's remove the `FILTER` clause and see if the query returns any results. If it does, we can then narrow down the notable_for values if necessary.

### Updated Query
```sparql
SELECT DISTINCT ?notableFor ?label WHERE {
  fb:m.09482 fb:common.topic.notable_for ?notableFor .
  OPTIONAL { ?notableFor rdfs:label ?label . }
}
```

Let's execute this updated query.

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

[Assistant]
The query still returns the same identifier `fb:g.125d0652h` without a label. Given the context from the previous triple listing, we know that `fb:g.125d0652h` is associated with the display names "Básnik" (Slovak), "Básník" (Czech), and "Dichter" (German), which all translate to "Poet" in English. Additionally, it is linked to the object "Poet" (`fb:m.05z96`).

Since the label is not directly available, we can infer that Robert Burns was famous for being a poet based on the context.

### Final Answer
Robert Burns was famous for being a poet.

Let's provide the final SPARQL query and answer without the `FILTER` clause.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query is on the right track, but it could be improved to provide a more detailed and accurate answer. The current result only indicates that Robert Burns was notable for something without specifying what that is. To improve this, we should try to retrieve the specific reason he is famous, such as his poetry or his contributions to Scottish literature. Additionally, the label for the notableFor property is empty, which suggests that the label might not be available in the Freebase dataset. We should consider using a different property or approach to get a more informative answer.

[Assistant]
Thank you for the feedback. Let's try a different approach to get a more detailed and accurate answer. Instead of using the `notable_for` property, we can look at other properties that might provide more specific information about Robert Burns' fame, such as his profession or notable works.

### Step 1: Check for Profession
Let's check if Robert Burns has a profession listed.

```sparql
SELECT DISTINCT ?profession ?label WHERE {
  fb:m.09482 fb:people.person.profession ?profession .
  OPTIONAL { ?profession rdfs:label ?label . }
}
```

Let's execute this query.

[Tool]
Got 179 rows and 2 columns, showing the first 5 and last 5 rows below:
| profession         | label          |
| ------------------ | -------------- |
| Poet (fb:m.05z96)  | Básnik (sk)    |
| Poet (fb:m.05z96)  | Básník (cs)    |
| Poet (fb:m.05z96)  | Dichter (nl)   |
| Poet (fb:m.05z96)  | Dzejnieks (lv) |
| Poet (fb:m.05z96)  | Költő (hu)     |
| ...                | ...            |
| Author (fb:m.0kyk) | ผู้เขียน (th)  |
| Author (fb:m.0kyk) | 저술가 (ko)       |
| Author (fb:m.0kyk) | 作家 (ja)        |
| Author (fb:m.0kyk) | 作者 (zh-Hant)   |
| Author (fb:m.0kyk) | 创作人 (zh)       |

[Assistant]
The query returned multiple rows indicating that Robert Burns was a poet and an author. The labels are in various languages, but they consistently refer to him as a poet and an author.

### Step 2: Check for Notable Works
To provide more detail, let's also check for his notable works.

```sparql
SELECT DISTINCT ?work ?label WHERE {
  fb:m.09482 fb:book.author.works_written ?work .
  OPTIONAL { ?work rdfs:label ?label . }
}
```

Let's execute this query to get his notable works.

[Tool]
Got 155 rows and 2 columns, showing the first 5 and last 5 rows below:
| work                                                     | label                                          |
| -------------------------------------------------------- | ---------------------------------------------- |
| Epitaph for James Smith (fb:m.027lmtz)                   | Epitaph for James Smith (en)                   |
| Kilmarnock volume (fb:m.027lnn3)                         | Kilmarnock volume (en)                         |
| Sweet Afton (fb:m.02p8h3t)                               | Sweet Afton (en)                               |
| To a Louse (fb:m.02qt8h)                                 | Buat Seekor Kutu (ms)                          |
| To a Louse (fb:m.02qt8h)                                 | To a Louse (en)                                |
| ...                                                      | ...                                            |
| Selections from the poems of Robert Burns (fb:m.0c1tbxl) | Selections from the poems of Robert Burns (en) |
| The Songs of Robert Burns (fb:m.0c1tbxp)                 | The Songs of Robert Burns (en)                 |
| Tam O'Shanter and Souter Johnny, a poem (fb:m.0c1tbxs)   | Tam O'Shanter and Souter Johnny, a poem (en)   |
| The Birks of Aberfeldy (fb:m.0cwm6k)                     | The Birks of Aberfeldy (en)                    |
| Halloween (fb:m.0fq1fcz)                                 | Halloween (en)                                 |

[Assistant]
The query returned a list of notable works by Robert Burns, including poems and collections such as "Epitaph for James Smith," "Kilmarnock volume," "Sweet Afton," "To a Louse," and "Tam O'Shanter."

### Final Answer
Robert Burns was famous for being a poet and an author. Some of his notable works include "Epitaph for James Smith," "Kilmarnock volume," "Sweet Afton," "To a Louse," and "Tam O'Shanter."

Let's provide the final SPARQL query and answer.

### Final SPARQL Query
```sparql
SELECT DISTINCT ?profession ?label WHERE {
  fb:m.09482 fb:people.person.profession ?profession .
  OPTIONAL { ?profession rdfs:label ?label . }
}
UNION
SELECT DISTINCT ?work ?label WHERE {
  fb:m.09482 fb:book.author.works_written ?work .
  OPTIONAL { ?work rdfs:label ?label . }
}
```

### Final Answer
Robert Burns was famous for being a poet and an author. Some of his notable works include "Epitaph for James Smith," "Kilmarnock volume," "Sweet Afton," "To a Louse," and "Tam O'Shanter."

Let's provide the final SPARQL query and answer.

<tool_call>
{"name": "answer", "arguments": {"kg": "freebase", "sparql": "SELECT DISTINCT ?profession ?label WHERE { fb:m.09482 fb:people.person.profession ?profession . OPTIONAL { ?profession rdfs:label ?label . } } UNION SELECT DISTINCT ?work ?label WHERE { fb:m.09482 fb:book.author.works_written ?work . OPTIONAL { ?work rdfs:label ?label . } }", "answer": "Robert Burns was famous for being a poet and an author. Some of his notable works include 'Epitaph for James Smith,' 'Kilmarnock volume,' 'Sweet Afton,' 'To a Louse,' and 'Tam O\'Shanter.'"}}
</tool_call>