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

Mark Hamill

[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]
I need to find the actor who played Luke Skywalker.
First, I'll search for "Luke Skywalker" to find the entity ID.

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

[Assistant] The most relevant entity is "Luke Skywalker (fb:m.0f1bg): Luke Skywalker is a fictional character...". Now I need to find the property that links the character to the actor who played him. I'll search for properties of the entity "fb:m.0f1bg" related to "actor" or "played".

[Tool]
Top 10 property alternatives:
1. Place of Birth (fb:fictional_universe.fictional_character.place_of_birth): Fictional Character, Fictional Setting
2. Date of birth (fb:fictional_universe.fictional_character.date_of_birth): Fictional Character, Fictional Date/Time
3. Occupation (fb:fictional_universe.fictional_character.occupation): Character Occupation, Fictional Character
4. Portrayed in films (fb:film.film_character.portrayed_in_films): Film performance, Film character
5. Character Created By (fb:fictional_universe.fictional_character.character_created_by): Fictional Character Creator, Fictional Character
6. Name (fb:type.object.name): Object, Text
7. Programs in which this was a regular character (fb:tv.tv_character.appeared_in_tv_program): TV Regular Performance, TV Character
8. Key (fb:type.object.key): Object, Key
9. Type (fb:type.object.type): Object, Type
10. Gender (fb:fictional_universe.fictional_character.gender): Fictional Character, Character Gender

No other items found

[Assistant] The property "Portrayed in films (fb:film.film_character.portrayed_in_films)" seems relevant. I'll use this property to find the films in which Luke Skywalker was portrayed, and then find the actors who portrayed him in those films.

[Tool]
Got 7 rows and 3 columns:
| subject                     | property                                                       | object        |
| --------------------------- | -------------------------------------------------------------- | ------------- |
| Luke Skywalker (fb:m.0f1bg) | Portrayed in films (fb:film.film_character.portrayed_in_films) | fb:m.010fs6tg |
| Luke Skywalker (fb:m.0f1bg) | Portrayed in films (fb:film.film_character.portrayed_in_films) | fb:m.010wvbml |
| Luke Skywalker (fb:m.0f1bg) | Portrayed in films (fb:film.film_character.portrayed_in_films) | fb:m.01xpntr  |
| Luke Skywalker (fb:m.0f1bg) | Portrayed in films (fb:film.film_character.portrayed_in_films) | fb:m.0k2h1_   |
| Luke Skywalker (fb:m.0f1bg) | Portrayed in films (fb:film.film_character.portrayed_in_films) | fb:m.0k3r1v   |
| Luke Skywalker (fb:m.0f1bg) | Portrayed in films (fb:film.film_character.portrayed_in_films) | fb:m.0k3r3j   |
| Luke Skywalker (fb:m.0f1bg) | Portrayed in films (fb:film.film_character.portrayed_in_films) | fb:m.0k6jzc   |

[Assistant] Now I have the films in which Luke Skywalker was portrayed. I need to find the actors who portrayed him in these films. I'll use the film IDs as subjects and search for the "performance.actor" property. I'll start with fb:m.010fs6tg.

[Tool]
Got 1 row and 3 columns:
| subject       | property                          | object                    |
| ------------- | --------------------------------- | ------------------------- |
| fb:m.010fs6tg | Actor (fb:film.performance.actor) | Mark Hamill (fb:m.0154d7) |

[Assistant] I found Mark Hamill. I'll construct a SPARQL query to find the actors who portrayed Luke Skywalker in films.

[Tool] Stopped generation process


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

Got 179 rows and 2 columns, showing the first 5 and last 5 rows below:
| invention                        | invention_label          |
| -------------------------------- | ------------------------ |
| Movie camera (fb:m.01cbh9)       | Cámara de cine (es)      |
| Movie camera (fb:m.01cbh9)       | Caméra (fr)              |
| Movie camera (fb:m.01cbh9)       | Càmera de cinema (ca)    |
| Movie camera (fb:m.01cbh9)       | Elokuvakamera (fi)       |
| Movie camera (fb:m.01cbh9)       | Filmcamera (nl)          |
| ...                              | ...                      |
| Phonograph cylinder (fb:m.0xrxw) | Fonografo cilindras (lt) |
| Phonograph cylinder (fb:m.0xrxw) | Phonograph cylinder (en) |
| Phonograph cylinder (fb:m.0xrxw) | Wachswalze (de)          |
| Phonograph cylinder (fb:m.0xrxw) | Wasrol (nl)              |
| Phonograph cylinder (fb:m.0xrxw) | اسطوانه فونوغراف (ar)    |

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

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

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

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

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

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

[User] what inventions did thomas edison invent list?

[Assistant]
Okay, I will find the inventions of Thomas Edison.
First, I need to find the entity ID of Thomas Edison.

[Tool]
Top 10 entity alternatives:
1. Thomas Edison, also known as Thomas A. Edison, Thomas Alva Edison, The Wizard of Menlo Park, Edison, Thomas (fb:m.07bty): Thomas Alva Edison was an American inventor and businessman. He ...ctric car, electrical power, recorded music and motion pictures., Inventor
2. Earl Monroe, also known as Vernon Earl Monroe, Vernon Earl "The Pearl" Monroe, Thomas Edison, The Pearl, Jesus (fb:m.01yrrh): Vernon Earl Monroe is an American retired professional basketbal...y style-of-play, Monroe was given the nickname Earl "The Pearl"., Basketball Player
3. Thomas Edison (fb:m.0xlggvk): Musical Recording
4. Thomas Edison (fb:m.0fcw2b_): Musical Recording
5. Thomas Edison (fb:m.0sc2bs): Musical Recording
6. Thomas Edison (fb:m.0k33gc6): Never was genius more fun! Thomas Edison opens up the laboratory...t one percent inspiration and ninety-nine percent perspiration.”, TV Episode
7. Thomas Edison (fb:m.0p3qy2n): Thomas Edison is a fictional character from the 1998-1999 anime TV series Flint The Time Detective., TV Character
8. Thomas Edison (fb:m.0h2qywh): Fictional Character
9. Thomas Edison (fb:m.052l5gt): Fictional Character
10. Thomas Edison (fb:m.02bjm0k)

[Assistant]
The entity ID for Thomas Edison is fb:m.07bty.
Now I need to find the property that relates Thomas Edison to his inventions. I will search for properties of Thomas Edison related to the word "invention".

[Tool]
Top 10 property alternatives:
1. Inventions (fb:law.inventor.inventions): Invention, Inventor
2. Patents (fb:law.inventor.us_patents): Inventor, Patent
3. Original ideas (fb:base.argumentmaps.innovator.original_ideas): Original idea, Innovator
4. Things named after this (fb:symbols.name_source.namesakes): Name source, Namesake
5. Category (fb:base.kwebbase.kwtopic.category): KWTopic, Text
6. Name (fb:type.object.name): Object, Text
7. Profession (fb:people.person.profession): Profession, Person
8. Image (fb:common.topic.image): Topic, Image
9. Works written (fb:book.author.works_written): Written Work, Author
10. Type (fb:type.object.type): Object, Type

No other items found

[Assistant]
The property fb:law.inventor.inventions seems to be the correct property.
Now I will construct a SPARQL query to retrieve 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] Now I will add labels to the inventions.

[Tool]
Got 179 rows and 2 columns, showing the first 5 and last 5 rows below:
| invention                        | invention_label          |
| -------------------------------- | ------------------------ |
| Movie camera (fb:m.01cbh9)       | Cámara de cine (es)      |
| Movie camera (fb:m.01cbh9)       | Caméra (fr)              |
| Movie camera (fb:m.01cbh9)       | Càmera de cinema (ca)    |
| Movie camera (fb:m.01cbh9)       | Elokuvakamera (fi)       |
| Movie camera (fb:m.01cbh9)       | Filmcamera (nl)          |
| ...                              | ...                      |
| Phonograph cylinder (fb:m.0xrxw) | Fonografo cilindras (lt) |
| Phonograph cylinder (fb:m.0xrxw) | Phonograph cylinder (en) |
| Phonograph cylinder (fb:m.0xrxw) | Wachswalze (de)          |
| Phonograph cylinder (fb:m.0xrxw) | Wasrol (nl)              |
| Phonograph cylinder (fb:m.0xrxw) | اسطوانه فونوغراف (ar)    |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?cause WHERE {
  fb:m.0pj9t fb:people.deceased_person.cause_of_death ?cause .
}

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] Okay, let's start by finding the entity "Bobby Darin" in the Freebase knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Bobby Darin, also known as Walden Robert Cassotto, Robert Darin, Darin, Bobby, bobby_darin, Bobby Darrin (fb:m.0pj9t): Bobby Darin was an American singer, songwriter, multi-instrument...lways expected, following bouts of rheumatic fever in childhood., Musical Artist
2. Bobby Darin (fb:m.0303k_v): 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"., Musical Album
4. Bobby Darin (fb:m.0rr57kv): Musical Release
5. Bobby Darin (fb:m.010_d42d): Musical Recording
6. Bobby Darin (fb:m.07l1m4s): 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., Film character
8. Bobby Darin (fb:m.07ldlj4): TV Episode
9. Bobby Darin (fb:m.0cs05vy)
10. Bobby Darin (fb:m.02bvgs3)

[Assistant] The most relevant entity is "Bobby Darin, also known as Walden Robert Cassotto, Robert Darin, Darin, Bobby, bobby_darin, Bobby Darrin (fb:m.0pj9t)". Let's find the property related to the cause of death for this entity.

[Tool]
Top 10 property alternatives:
1. Cause of death (fb:people.deceased_person.cause_of_death): Deceased Person, Cause Of Death
2. Place of death (fb:people.deceased_person.place_of_death): Deceased Person, Location
3. Date of death (fb:people.deceased_person.date_of_death): Deceased Person, Date/Time
4. Country of nationality (fb:people.person.nationality): Country, Person
5. Date of birth (fb:people.person.date_of_birth): Date/Time, Person
6. Place of birth (fb:people.person.place_of_birth): Location, Person
7. Gender (fb:people.person.gender): Person, Gender
8. Name (fb:type.object.name): Object, Text
9. Type (fb:type.object.type): Object, Type
10. Profession (fb:people.person.profession): Profession, Person

No other items found

[Assistant] The property we are looking for is "Cause of death (fb:people.deceased_person.cause_of_death)". Now, let's construct a SPARQL query to find the cause of death for Bobby Darin.

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

[Assistant] The cause of death is "Surgical complications (fb:m.02wgfrh)". Let's find the label for this entity to provide a more readable answer.

[Tool]
Got 1 row and 1 column:
| label                       |
| --------------------------- |
| Surgical complications (en) |

[Assistant] So, Bobby Darin died of surgical complications.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?film ?film_label ?starring_tv_series ?starring_tv_series_label ?guest_tv_episode ?guest_tv_episode_label WHERE {
  {
    ?performance fb:film.performance.actor fb:m.08l257 .
    ?performance fb:film.performance.film ?film .
    OPTIONAL {
      ?film rdfs:label ?film_label .
      FILTER ( lang( ?film_label ) = 'en' )
    }
  }
  OPTIONAL {
    ?starring_role fb:tv.regular_tv_appearance.actor fb:m.08l257 .
    ?starring_role fb:tv.regular_tv_appearance.series ?starring_tv_series .
    OPTIONAL {
      ?starring_tv_series rdfs:label ?starring_tv_series_label .
      FILTER ( lang( ?starring_tv_series_label ) = 'en' )
    }
  }
  OPTIONAL {
    ?guest_role fb:tv.tv_guest_role.actor fb:m.08l257 .
    ?guest_role fb:tv.tv_guest_role.episodes_appeared_in ?guest_tv_episode .
    OPTIONAL {
      ?guest_tv_episode rdfs:label ?guest_tv_episode_label .
      FILTER ( lang( ?guest_tv_episode_label ) = 'en' )
    }
  }
}

Got 816 rows and 6 columns, showing the first 5 and last 5 rows below:
| film                                        | film_label                        | starring_tv_series              | starring_tv_series_label | guest_tv_episode                           | guest_tv_episode_label           |
| ------------------------------------------- | --------------------------------- | ------------------------------- | ------------------------ | ------------------------------------------ | -------------------------------- |
| Devil Dog: The Hound of Hell (fb:m.02r2r2j) | Devil Dog: The Hound of Hell (en) | Here We Go Again (fb:m.027xk36) | Here We Go Again (en)    | The Family Hour (fb:m.05ddd49)             | The Family Hour (en)             |
| Devil Dog: The Hound of Hell (fb:m.02r2r2j) | Devil Dog: The Hound of Hell (en) | Here We Go Again (fb:m.027xk36) | Here We Go Again (en)    | River of Fear (fb:m.05dddj_)               | River of Fear (en)               |
| Devil Dog: The Hound of Hell (fb:m.02r2r2j) | Devil Dog: The Hound of Hell (en) | Here We Go Again (fb:m.027xk36) | Here We Go Again (en)    | Feudin' and Fussin' (1) (fb:m.05dk43r)     | Feudin' and Fussin' (1) (en)     |
| Devil Dog: The Hound of Hell (fb:m.02r2r2j) | Devil Dog: The Hound of Hell (en) | Here We Go Again (fb:m.027xk36) | Here We Go Again (en)    | Not with My Niece You Don't (fb:m.05dk6bp) | Not with My Niece You Don't (en) |
| Devil Dog: The Hound of Hell (fb:m.02r2r2j) | Devil Dog: The Hound of Hell (en) | Here We Go Again (fb:m.027xk36) | Here We Go Again (en)    | Town Party, Country Party (fb:m.05dkqrt)   | Town Party, Country Party (en)   |
| ...                                         | ...                               | ...                             | ...                      | ...                                        | ...                              |
| Black Snake Moan (fb:m.0ff1st)              | Black Snake Moan (en)             | Hello, Larry (fb:m.08wcdx)      | Hello, Larry (en)        | Father to the Man (fb:m.05dsl32)           | Father to the Man (en)           |
| Black Snake Moan (fb:m.0ff1st)              | Black Snake Moan (en)             | Hello, Larry (fb:m.08wcdx)      | Hello, Larry (en)        | Mixed Doubles (fb:m.05ngc2v)               | Mixed Doubles (en)               |
| Black Snake Moan (fb:m.0ff1st)              | Black Snake Moan (en)             | Hello, Larry (fb:m.08wcdx)      | Hello, Larry (en)        | Boston -- False Illusion (fb:m.06yrmtr)    | Boston -- False Illusion (en)    |
| Black Snake Moan (fb:m.0ff1st)              | Black Snake Moan (en)             | Hello, Larry (fb:m.08wcdx)      | Hello, Larry (en)        | Cooter's Girl (fb:m.079f1lh)               | Cooter's Girl (en)               |
| Black Snake Moan (fb:m.0ff1st)              | Black Snake Moan (en)             | Hello, Larry (fb:m.08wcdx)      | Hello, Larry (en)        | The Horrible Honchos (fb:m.07l8f3x)        | The Horrible Honchos (en)        |

Kim Richards has been in the following films, TV series, and TV episodes.

[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] Okay, I need to find what Kim Richards has been in. I'll start by searching for the entity "Kim Richards" in Freebase.

[Tool]
Top 10 entity alternatives:
1. Kim Richards, also known as Kim Richards-Brinson, Kimberly Richards, 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., TV Personality
2. Kim Richards (fb:m.0k226mc): Person
3. Kim Richards (fb:m.0_mwht3): Kim Richards is the mother of American Football player Aschan Richards., 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., Musical Artist
5. Kimberley Richardson, also known as Kimberley Richardson Lindley, Kimberly Richardson, Kim Richardson (fb:m.0bwb0qb): Kimberley Richardson is a set decorator., Film crewmember
6. Kim Richardson (fb:m.0v2xl0q): Kim Richardson is an actress., Film actor
7. Kimmi Richards (fb:m.0w0kdxp): Kimmi Richards is an actress., Film actor
8. Kimberley Richards (fb:m.0v2tcm1): Kimberley Richards is a Juno Award nominated artist., Award Nominee
9. Kim Richardson (fb:m.0ggj0gf): 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., Film actor

[Assistant] The first result, `fb:m.08l257`, seems to be the most relevant Kim Richards. I'll now search for properties of this entity to find what she has been in. I'll search for properties related to "film" and "tv".

[Tool]
Top 10 property alternatives:
1. Film performances (fb:film.actor.film): Film performance, Film actor
2. Starring TV roles (fb:tv.tv_actor.starring_roles): TV Regular Performance, TV Actor
3. TV episode performances (fb:tv.tv_actor.guest_roles): TV episode performance, TV Actor
4. TV regular appearances (fb:tv.tv_personality.tv_regular_appearances): TV regular personal appearance, TV Personality
5. Country of nationality (fb:people.person.nationality): Country, Person
6. Key (fb:type.object.key): Object, Key
7. Place of birth (fb:people.person.place_of_birth): Location, Person
8. Type (fb:type.object.type): Object, Type
9. Profession (fb:people.person.profession): Profession, Person
10. Date of birth (fb:people.person.date_of_birth): Date/Time, Person

No other items found

[Assistant] The properties `fb:film.actor.film`, `fb:tv.tv_actor.starring_roles`, and `fb:tv.tv_actor.guest_roles` seem relevant. I'll construct a SPARQL query to retrieve the films, starring TV roles, and guest TV roles of Kim Richards.

[Tool]
Got 1,080 rows and 3 columns, showing the first 5 and last 5 rows below:
| film          | starring_role | guest_role   |
| ------------- | ------------- | ------------ |
| fb:m.0131hj6c | fb:m.0bngb3y  | fb:m.09nxsqd |
| fb:m.0131hj6c | fb:m.0bngb3y  | fb:m.09nxsqs |
| fb:m.0131hj6c | fb:m.0bngb3y  | fb:m.09nxsr2 |
| fb:m.0131hj6c | fb:m.0bngb3y  | fb:m.09nxsr9 |
| fb:m.0131hj6c | fb:m.0bngb3y  | fb:m.09nxsrp |
| ...           | ...           | ...          |
| fb:m.0wc5ch3  | fb:m.0g0h80m  | fb:m.09nxsvd |
| fb:m.0wc5ch3  | fb:m.0g0h80m  | fb:m.09nxsvm |
| fb:m.0wc5ch3  | fb:m.0g0h80m  | fb:m.09nxswc |
| fb:m.0wc5ch3  | fb:m.0g0h80m  | fb:m.0g03c5f |
| fb:m.0wc5ch3  | fb:m.0g0h80m  | fb:m.0g97nbd |

[Assistant] The query returns a lot of results. To make the answer more readable, I'll add labels for the films, starring roles, and guest roles.

[Tool]
Got 1,080 rows and 6 columns, showing the first 5 and last 5 rows below:
| film          | film_label | starring_role | starring_role_label | guest_role   | guest_role_label |
| ------------- | ---------- | ------------- | ------------------- | ------------ | ---------------- |
| fb:m.0131hj6c |            | fb:m.0bngb3y  |                     | fb:m.09nxsqd |                  |
| fb:m.0131hj6c |            | fb:m.0bngb3y  |                     | fb:m.09nxsqs |                  |
| fb:m.0131hj6c |            | fb:m.0bngb3y  |                     | fb:m.09nxsr2 |                  |
| fb:m.0131hj6c |            | fb:m.0bngb3y  |                     | fb:m.09nxsr9 |                  |
| fb:m.0131hj6c |            | fb:m.0bngb3y  |                     | fb:m.09nxsrp |                  |
| ...           | ...        | ...           | ...                 | ...          | ...              |
| fb:m.0wc5ch3  |            | fb:m.0g0h80m  |                     | fb:m.09nxsvd |                  |
| fb:m.0wc5ch3  |            | fb:m.0g0h80m  |                     | fb:m.09nxsvm |                  |
| fb:m.0wc5ch3  |            | fb:m.0g0h80m  |                     | fb:m.09nxswc |                  |
| fb:m.0wc5ch3  |            | fb:m.0g0h80m  |                     | fb:m.0g03c5f |                  |
| fb:m.0wc5ch3  |            | fb:m.0g0h80m  |                     | fb:m.0g97nbd |                  |

[Assistant] The labels are missing. I'll try to get the labels using `rdfs:label` with language filtering.

[Tool]
Got 1,080 rows and 6 columns, showing the first 5 and last 5 rows below:
| film          | film_label | starring_role | starring_role_label | guest_role   | guest_role_label |
| ------------- | ---------- | ------------- | ------------------- | ------------ | ---------------- |
| fb:m.0131hj6c |            | fb:m.0bngb3y  |                     | fb:m.09nxsqd |                  |
| fb:m.0131hj6c |            | fb:m.0bngb3y  |                     | fb:m.09nxsqs |                  |
| fb:m.0131hj6c |            | fb:m.0bngb3y  |                     | fb:m.09nxsr2 |                  |
| fb:m.0131hj6c |            | fb:m.0bngb3y  |                     | fb:m.09nxsr9 |                  |
| fb:m.0131hj6c |            | fb:m.0bngb3y  |                     | fb:m.09nxsrp |                  |
| ...           | ...        | ...           | ...                 | ...          | ...              |
| fb:m.0wc5ch3  |            | fb:m.0g0h80m  |                     | fb:m.09nxsvd |                  |
| fb:m.0wc5ch3  |            | fb:m.0g0h80m  |                     | fb:m.09nxsvm |                  |
| fb:m.0wc5ch3  |            | fb:m.0g0h80m  |                     | fb:m.09nxswc |                  |
| fb:m.0wc5ch3  |            | fb:m.0g0h80m  |                     | fb:m.0g03c5f |                  |
| fb:m.0wc5ch3  |            | fb:m.0g0h80m  |                     | fb:m.0g97nbd |                  |

[Assistant] The labels are still missing. It seems like the entities representing the films and TV roles don't have `rdfs:label`. I'll try to get the names of the films using `fb:film.performance.film` instead of `fb:film.actor.film`.

[Tool]
Got 1,080 rows and 6 columns, showing the first 5 and last 5 rows below:
| film                                        | film_label                        | starring_role | starring_role_label | guest_role   | guest_role_label |
| ------------------------------------------- | --------------------------------- | ------------- | ------------------- | ------------ | ---------------- |
| Devil Dog: The Hound of Hell (fb:m.02r2r2j) | Devil Dog: The Hound of Hell (en) | fb:m.0bngb3y  |                     | fb:m.09nxsqd |                  |
| Devil Dog: The Hound of Hell (fb:m.02r2r2j) | Devil Dog: The Hound of Hell (en) | fb:m.0bngb3y  |                     | fb:m.09nxsqs |                  |
| Devil Dog: The Hound of Hell (fb:m.02r2r2j) | Devil Dog: The Hound of Hell (en) | fb:m.0bngb3y  |                     | fb:m.09nxsr2 |                  |
| Devil Dog: The Hound of Hell (fb:m.02r2r2j) | Devil Dog: The Hound of Hell (en) | fb:m.0bngb3y  |                     | fb:m.09nxsr9 |                  |
| Devil Dog: The Hound of Hell (fb:m.02r2r2j) | Devil Dog: The Hound of Hell (en) | fb:m.0bngb3y  |                     | fb:m.09nxsrp |                  |
| ...                                         | ...                               | ...           | ...                 | ...          | ...              |
| Black Snake Moan (fb:m.0ff1st)              | Black Snake Moan (en)             | fb:m.0g0h80m  |                     | fb:m.09nxsvd |                  |
| Black Snake Moan (fb:m.0ff1st)              | Black Snake Moan (en)             | fb:m.0g0h80m  |                     | fb:m.09nxsvm |                  |
| Black Snake Moan (fb:m.0ff1st)              | Black Snake Moan (en)             | fb:m.0g0h80m  |                     | fb:m.09nxswc |                  |
| Black Snake Moan (fb:m.0ff1st)              | Black Snake Moan (en)             | fb:m.0g0h80m  |                     | fb:m.0g03c5f |                  |
| Black Snake Moan (fb:m.0ff1st)              | Black Snake Moan (en)             | fb:m.0g0h80m  |                     | fb:m.0g97nbd |                  |

[Assistant] Now I have the film labels. I still need to get the labels for the TV roles. I'll try to find the TV series that these roles belong to.

[Tool]
Top 10 property alternatives:
1. Starring TV roles (fb:tv.tv_actor.starring_roles): TV Regular Performance, TV Actor
2. TV regular appearances (fb:tv.tv_personality.tv_regular_appearances): TV regular personal appearance, TV Personality
3. TV episode performances (fb:tv.tv_actor.guest_roles): TV episode performance, TV Actor
4. Film performances (fb:film.actor.film): Film performance, Film actor
5. Profession (fb:people.person.profession): Profession, Person
6. Country of nationality (fb:people.person.nationality): Country, Person
7. Place of birth (fb:people.person.place_of_birth): Location, Person
8. Date of birth (fb:people.person.date_of_birth): Date/Time, Person
9. Gender (fb:people.person.gender): Person, Gender
10. Notable types (fb:common.topic.notable_types): Topic, Type

No other items found

[Assistant] I'll try to find the TV series using `fb:tv.tv_regular_performance.tv_series` and `fb:tv.episode_performance.episode`.

[Tool]
Got 12 rows and 10 columns, showing the first 5 and last 5 rows below:
| film                                                    | film_label                                    | starring_role | starring_role_label | starring_tv_series | starring_tv_series_label | guest_role | guest_role_label | guest_tv_episode | guest_tv_episode_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)                         |               |                     |                    |                          |            |                  |                  |                        |

[Assistant] The query returns the film labels, but the TV series and episode labels are still missing. It seems like the `starring_role` and `guest_role` nodes are not directly connected to the TV series or episode. I'll try to find the connection using `list`.

[Tool]
Got 5 rows and 3 columns:
| subject      | property                                          | object                                               |
| ------------ | ------------------------------------------------- | ---------------------------------------------------- |
| fb:m.0bngb3y | Type (fb:type.object.type)                        | TV Regular Performance (fb:tv.regular_tv_appearance) |
| fb:m.0bngb3y | Actor (fb:tv.regular_tv_appearance.actor)         | Kim Richards (fb:m.08l257)                           |
| fb:m.0bngb3y | Series (fb:tv.regular_tv_appearance.series)       | Hello, Larry (fb:m.08wcdx)                           |
| fb:m.0bngb3y | Character (fb:tv.regular_tv_appearance.character) | Ruthie Alder (fb:m.0h2y45c)                          |
| fb:m.0bngb3y | rdf:type                                          | TV Regular Performance (fb:tv.regular_tv_appearance) |

[Assistant] Okay, I see that `fb:tv.regular_tv_appearance.series` connects the starring role to the TV series. I'll also check the guest role.

[Tool]
Got 5 rows and 3 columns:
| subject      | property                                           | object                                       |
| ------------ | -------------------------------------------------- | -------------------------------------------- |
| fb:m.09nxsqd | Type (fb:type.object.type)                         | TV episode performance (fb:tv.tv_guest_role) |
| fb:m.09nxsqd | Actor (fb:tv.tv_guest_role.actor)                  | Kim Richards (fb:m.08l257)                   |
| fb:m.09nxsqd | Episode (fb:tv.tv_guest_role.episodes_appeared_in) | River of Fear (fb:m.05dddj_)                 |
| fb:m.09nxsqd | Character (fb:tv.tv_guest_role.character)          | Julie Todd (fb:m.09nxsqb)                    |
| fb:m.09nxsqd | rdf:type                                           | TV episode performance (fb:tv.tv_guest_role) |

[Assistant] I see that `fb:tv.tv_guest_role.episodes_appeared_in` connects the guest role to the episode. Now I can construct the final query.

[Tool]
Got 816 rows and 6 columns, showing the first 5 and last 5 rows below:
| film                                        | film_label                        | starring_tv_series              | starring_tv_series_label | guest_tv_episode                           | guest_tv_episode_label           |
| ------------------------------------------- | --------------------------------- | ------------------------------- | ------------------------ | ------------------------------------------ | -------------------------------- |
| Devil Dog: The Hound of Hell (fb:m.02r2r2j) | Devil Dog: The Hound of Hell (en) | Here We Go Again (fb:m.027xk36) | Here We Go Again (en)    | The Family Hour (fb:m.05ddd49)             | The Family Hour (en)             |
| Devil Dog: The Hound of Hell (fb:m.02r2r2j) | Devil Dog: The Hound of Hell (en) | Here We Go Again (fb:m.027xk36) | Here We Go Again (en)    | River of Fear (fb:m.05dddj_)               | River of Fear (en)               |
| Devil Dog: The Hound of Hell (fb:m.02r2r2j) | Devil Dog: The Hound of Hell (en) | Here We Go Again (fb:m.027xk36) | Here We Go Again (en)    | Feudin' and Fussin' (1) (fb:m.05dk43r)     | Feudin' and Fussin' (1) (en)     |
| Devil Dog: The Hound of Hell (fb:m.02r2r2j) | Devil Dog: The Hound of Hell (en) | Here We Go Again (fb:m.027xk36) | Here We Go Again (en)    | Not with My Niece You Don't (fb:m.05dk6bp) | Not with My Niece You Don't (en) |
| Devil Dog: The Hound of Hell (fb:m.02r2r2j) | Devil Dog: The Hound of Hell (en) | Here We Go Again (fb:m.027xk36) | Here We Go Again (en)    | Town Party, Country Party (fb:m.05dkqrt)   | Town Party, Country Party (en)   |
| ...                                         | ...                               | ...                             | ...                      | ...                                        | ...                              |
| Black Snake Moan (fb:m.0ff1st)              | Black Snake Moan (en)             | Hello, Larry (fb:m.08wcdx)      | Hello, Larry (en)        | Father to the Man (fb:m.05dsl32)           | Father to the Man (en)           |
| Black Snake Moan (fb:m.0ff1st)              | Black Snake Moan (en)             | Hello, Larry (fb:m.08wcdx)      | Hello, Larry (en)        | Mixed Doubles (fb:m.05ngc2v)               | Mixed Doubles (en)               |
| Black Snake Moan (fb:m.0ff1st)              | Black Snake Moan (en)             | Hello, Larry (fb:m.08wcdx)      | Hello, Larry (en)        | Boston -- False Illusion (fb:m.06yrmtr)    | Boston -- False Illusion (en)    |
| Black Snake Moan (fb:m.0ff1st)              | Black Snake Moan (en)             | Hello, Larry (fb:m.08wcdx)      | Hello, Larry (en)        | Cooter's Girl (fb:m.079f1lh)               | Cooter's Girl (en)               |
| Black Snake Moan (fb:m.0ff1st)              | Black Snake Moan (en)             | Hello, Larry (fb:m.08wcdx)      | Hello, Larry (en)        | The Horrible Honchos (fb:m.07l8f3x)        | The Horrible Honchos (en)        |

[Assistant] This query returns the films, starring TV series, and guest TV episodes that Kim Richards has been in, along with their labels.

[Tool] Stopped generation process


I am unable to construct a SPARQL query that correctly identifies the president of the US during WWII. I suspect the data in Freebase is not structured in a way that allows me to easily answer this question using SPARQL. The answer is Franklin D. Roosevelt.

[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]
Okay, let's start by identifying the entities and properties involved in the question. The question is about the leader of the US during WWII. So, we need to find the entity "United States" and the time period "WWII" (World War II), and then find the leader of the US during that time.

First, let's search for "World War II" to get its Freebase ID.

[Tool]
Top 10 entity alternatives:
1. World War II, also known as WW2, WWII, World War, 1939-1945, World War 2, The Second World War (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., Military Conflict
2. World War III, also known as World War II, World War III (fb:m.0mkhlx): Musical Recording
3. World War II, also known as World War 2., World War Two. (fb:m.095slwx): Book Edition
4. World War II (fb:m.0c7xz1n): Book Edition
5. World War II (fb:m.04w9w8g): Book
6. World War II (fb:m.04xt71f): 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., TV Episode
8. World War II (fb:m.0bbhwd2): Book Edition
9. World War II (fb:m.04wj71r): Book
10. World War 2, also known as World War 2, World War II (fb:m.012k8cv): Musical Recording

[Assistant] The Freebase ID for World War II is `fb:m.081pw`. Now, let's search for "United States" to get its Freebase ID.

[Tool]
Top 10 entity alternatives:
1. United States of America, also known as USA, US, United States, U.S.A., U.S. of A. (fb:m.09c7w0): The United States of America, commonly referred to as the United...s emerged from 13 British colonies located along the East Coast., Country
2. Federal government of the United States, also known as American Government, US Government, US Federal government, United States: Federal Government, United States government (fb:m.01bqks): The government of the United States of America is the federal go...ften used, and the term "National Government" is sometimes used., Organization founder
3. United States (fb:m.0dvxqk): United States is a half-hour comedy-drama that NBC added to its ... Bob can go out and get yourselves one redhead with two straws.", TV Program
4. United States (fb:m.0dmmqxb): Musical Recording
5. United States (fb:m.0829w2d): Book Edition
6. United States... (fb:m.03987_d): Musical Release
7. United States (fb:m.0qhhg_4): Consumer product
8. United States (fb:m.05q8l00): United States is the first full length hard rock collaborative a...oration has been described as a cross between Queen and Mr. Big., Musical Album
9. United States (fb:m.0qhgg6l): Consumer product
10. United States (fb:m.011kfnhv): Musical Release

[Assistant] The Freebase ID for United States of America is `fb:m.09c7w0`. Now we need to find a property that connects the US and WWII with its leader. Let's try searching for properties related to "leader" or "president" of a country during a war. I'll start by searching for properties of the United States related to "president".

[Tool]
Top 10 property alternatives:
1. President (fb:user.exooo.default_domain.head_of_state.president): Employment tenure, Head of state
2. Leader (fb:religion.religious_leadership_jurisdiction.leader): Religious Organization Leadership, Religious Jurisdiction
3. Government (fb:government.governmental_jurisdiction.government): Governmental Jurisdiction, Government
4. Governing officials (fb:government.governmental_jurisdiction.governing_officials): Governmental Jurisdiction, Government Position Held
5. Form of Government (fb:location.country.form_of_government): Form of Government, Country
6. Member of (fb:base.unitednations.united_nations_member_state.member_of): United Nations body membership, United Nations member state
7. Member of (fb:organization.organization_member.member_of): Organization membership, Organization member
8. Key (fb:type.object.key): Object, Key
9. Government positions (fb:government.governmental_jurisdiction.government_positions): Government Office or Title, Governmental Jurisdiction
10. Ambassadors (fb:user.skud.embassies_and_consulates.embassy.ambassadors): Ambassadorial tenure, Embassy

No other items found

[Assistant] The property `fb:user.exooo.default_domain.head_of_state.president` looks promising. Let's see if we can use it to find the president of the US during WWII. We can use the `list` function to see how this property is used.

[Tool]
Got 3 rows and 3 columns:
| subject                                | property                                                         | object       |
| -------------------------------------- | ---------------------------------------------------------------- | ------------ |
| United States of America (fb:m.09c7w0) | President (fb:user.exooo.default_domain.head_of_state.president) | fb:m.03wzcqr |
| United States of America (fb:m.09c7w0) | President (fb:user.exooo.default_domain.head_of_state.president) | fb:m.03wzcqy |
| United States of America (fb:m.09c7w0) | President (fb:user.exooo.default_domain.head_of_state.president) | fb:m.03wzcr3 |

[Assistant]
Okay, it seems like this property is used to denote the president of a country. Now, let's construct a SPARQL query to find the president of the US during WWII. We need to find the intersection of the time period when someone was president of the US and the time period of WWII.

```sparql
SELECT ?president WHERE {
  fb:m.09c7w0 fb:user.exooo.default_domain.head_of_state.president ?president_tenure .
  ?president_tenure fb:government.government_position_held.office_position ?president .
  ?president_tenure fb:government.government_position_held.from ?start .
  ?president_tenure fb:government.government_position_held.to ?end .
  FILTER (?start <= "1945-09-02"^^xsd:date && ?end >= "1939-09-01"^^xsd:date)
}
```
Let's execute this query.

[Tool] Got no rows and 1 columns

[Assistant]
The query returned no results. This could be because the `from` and `to` properties are not directly connected to the president tenure. Let's try a different approach. Let's find the president of the US and then check if they were in office during WWII.
```sparql
SELECT ?president WHERE {
  fb:m.09c7w0 fb:user.exooo.default_domain.head_of_state.president ?president_tenure .
  ?president_tenure fb:government.government_position_held.office_position ?president .
  ?president_tenure fb:government.government_position_held.from ?start .
  OPTIONAL { ?president_tenure fb:government.government_position_held.to ?end . }
  FILTER (?start <= "1945-09-02"^^xsd:date)
  FILTER (!bound(?end) || ?end >= "1939-09-01"^^xsd:date)
}
```

[Tool] Got no rows and 1 columns

[Assistant]
Still no results. Let's try to simplify the query and just get the president tenures.
```sparql
SELECT ?president_tenure WHERE {
  fb:m.09c7w0 fb:user.exooo.default_domain.head_of_state.president ?president_tenure .
}
```

[Tool]
Got 3 rows and 1 column:
| president_tenure |
| ---------------- |
| fb:m.03wzcqr     |
| fb:m.03wzcqy     |
| fb:m.03wzcr3     |

[Assistant] Okay, we have the president tenures. Let's examine one of them, `fb:m.03wzcqr`.

[Tool]
Got 4 rows and 3 columns:
| subject      | property                                  | object                                            |
| ------------ | ----------------------------------------- | ------------------------------------------------- |
| fb:m.03wzcqr | Type (fb:type.object.type)                | Employment tenure (fb:business.employment_tenure) |
| fb:m.03wzcqr | From (fb:business.employment_tenure.from) | 1789-04-30 (xsd:date)                             |
| fb:m.03wzcqr | To (fb:business.employment_tenure.to)     | 1797-03-04 (xsd:date)                             |
| fb:m.03wzcqr | rdf:type                                  | Employment tenure (fb:business.employment_tenure) |

[Assistant]
It seems like the properties are `fb:business.employment_tenure.from` and `fb:business.employment_tenure.to`. Let's use these properties in our query.
```sparql
SELECT ?president WHERE {
  fb:m.09c7w0 fb:user.exooo.default_domain.head_of_state.president ?president_tenure .
  ?president_tenure fb:business.employment_tenure.person ?president .
  ?president_tenure fb:business.employment_tenure.from ?start .
  OPTIONAL { ?president_tenure fb:business.employment_tenure.to ?end . }
  FILTER (?start <= "1945-09-02"^^xsd:date)
  FILTER (!bound(?end) || ?end >= "1939-09-01"^^xsd:date)
}
```
However, we need to find the president's name, not the tenure. Let's try this:
```sparql
SELECT ?president_name WHERE {
  fb:m.09c7w0 fb:user.exooo.default_domain.head_of_state.president ?president_tenure .
  ?president_tenure fb:business.employment_tenure.person ?president .
  ?president fb:type.object.name ?president_name .
  ?president_tenure fb:business.employment_tenure.from ?start .
  OPTIONAL { ?president_tenure fb:business.employment_tenure.to ?end . }
  FILTER (?start <= "1945-09-02"^^xsd:date)
  FILTER (!bound(?end) || ?end >= "1939-09-01"^^xsd:date)
}
```

[Tool] Got no rows and 1 columns

[Assistant]
Still no results. Let's try to find the property that links the tenure to the person.
```sparql
SELECT ?property WHERE {
  fb:m.03wzcqr ?property ?person .
}
```

[Tool]
Got 4 rows and 1 column:
| property                                  |
| ----------------------------------------- |
| From (fb:business.employment_tenure.from) |
| To (fb:business.employment_tenure.to)     |
| Type (fb:type.object.type)                |
| rdf:type                                  |

[Assistant]
It seems there is no direct link from the tenure to the person. Let's go back to the original query and try to find the president's name using `rdfs:label`.
```sparql
SELECT ?president_name WHERE {
  fb:m.09c7w0 fb:user.exooo.default_domain.head_of_state.president ?president_tenure .
  ?president_tenure fb:government.government_position_held.office_position ?president .
  ?president rdfs:label ?president_name .
  ?president_tenure fb:government.government_position_held.from ?start .
  OPTIONAL { ?president_tenure fb:government.government_position_held.to ?end . }
  FILTER (?start <= "1945-09-02"^^xsd:date)
  FILTER (!bound(?end) || ?end >= "1939-09-01"^^xsd:date)
}
```

[Tool] Got no rows and 1 columns

[Assistant]
Let's try to find the president directly.
```sparql
SELECT ?president_name WHERE {
  ?president fb:government.country.leader ?us .
  FILTER (?us = fb:m.09c7w0)
  ?president rdfs:label ?president_name .
}
```

[Tool] Got no rows and 1 columns

[Assistant]
Let's try another approach. Let's find all presidents of the US and their terms, and then filter for those who were in office during WWII.
```sparql
SELECT ?president ?start ?end ?president_name WHERE {
  ?us fb:user.exooo.default_domain.head_of_state.president ?tenure .
  FILTER (?us = fb:m.09c7w0)
  ?tenure fb:business.employment_tenure.person ?president .
  ?tenure fb:business.employment_tenure.from ?start .
  OPTIONAL { ?tenure fb:business.employment_tenure.to ?end . }
  ?president rdfs:label ?president_name .
  FILTER (?start <= "1945-09-02"^^xsd:date)
  FILTER (!bound(?end) || ?end >= "1939-09-01"^^xsd:date)
}
```

[Tool] Got no rows and 4 columns

[Assistant] I'm still unable to retrieve the correct information. I suspect the issue lies in the way the dates are handled or the properties used to link the US to its presidents and their tenures. I will try a different approach by searching for the president of the US during WWII using keywords.

[Tool]
Top 10 entity alternatives:
1. Politics of the United States during World War II (fb:m.0118p04f): The United States maintained its Representative Democracy govern...nese-Americans. Still, elections were held as scheduled in 1944.
2. Politics of the United States during World War II (fb:m.07xg216)
3. Military history of the United States during World War II (fb:m.011bpbtx): The military history of the United States' involvement in World ...me after the war. Key civilian advisors to President Franklin D.
4. Military history of the United States during World War II (fb:m.07ymflf)
5. A study of inflation control in ...nited States during World War II (fb:m.0c6x4pt): Book Edition
6. A study of inflation control in ...nited States during World War II (fb:m.0c3c4hv): Book
7. Chemists at war : accounts of ch...nited States during World War II (fb:m.0c81n0m): Book Edition
8. Seeds of Mideast crisis: the Uni... Middle East during World War II (fb:m.08b_d84): Book Edition
9. The limits of hegemony : United ...na and Chile during world War II (fb:m.0c9xhys): Book Edition
10. Quiet passages : the exchange of...es and Japan during World War II (fb:m.0bhwdk_): Book Edition

[Assistant] This search doesn't directly give us the president. Let's try searching for "Franklin D. Roosevelt".

[Tool]
Top 10 entity alternatives:
1. Franklin D. Roosevelt, also known as Houdini In the White House, Pres. Franklin D. Roosevelt, President Franklin D. Roosevelt, President Franklin Delano Roosevelt, President Roosevelt (fb:m.02yy8): Franklin Delano Roosevelt, commonly known by his initials FDR, w...05, he married Eleanor Roosevelt, with whom he had six children., US President
2. Franklin D. Roosevelt, also known as Franklin D. Roosevelt, Paris (fb:m.02h_t7): Franklin D. Roosevelt is a station of the Paris Métro serving bo...elt is the fourteenth busiest station in the Paris Métro system., Transit Stop
3. Franklin Roosevelt, also known as President Franklin D. Roosevelt, President Franklin Delano Roosevelt, Roosevelt, Franklin D. Roosevelt, Ruzvelt (fb:m.0kdxy8v): Franklin Roosevelt  is a fictional character from the 2012 film A Christmas Story 2., Fictional representation of President Franklin Delano Roosevelt., Film character
4. Franklin D. Roosevelt (fb:m.06s5wnm): Franklin D. Roosevelt is a serialized work written by Frank Burt Freidel., Book
5. Franklin D. Roosevelt (fb:m.0c8h4p1): Book Edition
6. Franklin D. Roosevelt D'Alesandro, also known as Roosie (fb:m.0vn1kft): Franklin D. Roosevelt D'Alesandro was the brother of Nancy Pelosi., Deceased Person
7. Franklin D Roosevelt (fb:m.0760h6t): School
8. Franklin D Roosevelt (fb:m.076lbz2): School
9. Franklin D Roosevelt (fb:m.076gshf): School
10. Franklin D Roosevelt (fb:m.076l0x7): School

[Assistant]
Okay, we found Franklin D. Roosevelt with Freebase ID `fb:m.02yy8`. Let's check if he was president during WWII.
```sparql
ASK {
  fb:m.02yy8 fb:government.us_president.presidency ?tenure .
  ?tenure fb:government.government_position_held.from ?start .
  OPTIONAL { ?tenure fb:government.government_position_held.to ?end . }
  FILTER (?start <= "1945-09-02"^^xsd:date)
  FILTER (!bound(?end) || ?end >= "1939-09-01"^^xsd:date)
}
```

[Tool] False

[Assistant]
The query returned `False`. This is unexpected. Let's try a simpler query to confirm that Franklin D. Roosevelt was indeed a US president.
```sparql
ASK {
  fb:m.02yy8 fb:government.us_president.presidency ?tenure .
}
```

[Tool] False

[Assistant] Okay, it seems that `fb:m.02yy8` is not directly linked to `fb:government.us_president.presidency`. Let's try to find the correct property.

[Tool]
Got 1,593 rows and 3 columns, showing the first 10 rows below:
| subject                            | property                                                            | object                                                                     |
| ---------------------------------- | ------------------------------------------------------------------- | -------------------------------------------------------------------------- |
| Franklin D. Roosevelt (fb:m.02yy8) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                    |
| Franklin D. Roosevelt (fb:m.02yy8) | Key (fb:type.object.key)                                            | /authority/discogs/artist/856289                                           |
| Franklin D. Roosevelt (fb:m.02yy8) | Name (fb:type.object.name)                                          | Franklin Delano Roosevelt (ca)                                             |
| Franklin D. Roosevelt (fb:m.02yy8) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%41%31%27%46%43%44%4A%46_%31%48%32%41%44%2A> |
| Franklin D. Roosevelt (fb:m.02yy8) | Notable for (fb:common.topic.notable_for)                           | fb:g.12587ys2c                                                             |
| Franklin D. Roosevelt (fb:m.02yy8) | Notable types (fb:common.topic.notable_types)                       | US President (fb:m.01xljv7)                                                |
| Franklin D. Roosevelt (fb:m.02yy8) | Description (fb:common.topic.description)                           | Franklinas Delanas Ruzveltas – 32-asis JAV prezidentas. (lt)               |
| Franklin D. Roosevelt (fb:m.02yy8) | Recordings (fb:music.artist.track)                                  | Fireside Chat, Part 2 (fb:m.012_30s3)                                      |
| Franklin D. Roosevelt (fb:m.02yy8) | Article (fb:common.topic.article)                                   | fb:m.02yyl                                                                 |
| Franklin D. Roosevelt (fb:m.02yy8) | Also known as (fb:common.topic.alias)                               | Delano Roosevelt (en)                                                      |
| ...                                | ...                                                                 | ...                                                                        |

[Assistant]
We can see that `fb:m.02yy8` has `fb:common.topic.notable_types` with value `fb:m.01xljv7` (US President). Let's use this information.
```sparql
ASK {
  fb:m.02yy8 fb:common.topic.notable_types fb:m.01xljv7 .
  fb:m.02yy8 fb:government.us_president.presidency ?tenure .
  ?tenure fb:government.government_position_held.from ?start .
  OPTIONAL { ?tenure fb:government.government_position_held.to ?end . }
  FILTER (?start <= "1945-09-02"^^xsd:date)
  FILTER (!bound(?end) || ?end >= "1939-09-01"^^xsd:date)
}
```

[Tool] False

[Assistant]
I'm still facing issues with the query. It seems the properties are not aligned as expected. Let's try a different approach. Let's find the US president during WWII by using the `government.us_president.presidency` property and then check if Franklin D. Roosevelt is the president.
```sparql
ASK {
  ?president_tenure fb:government.government_position_held.from ?start .
  OPTIONAL { ?president_tenure fb:government.government_position_held.to ?end . }
  FILTER (?start <= "1945-09-02"^^xsd:date)
  FILTER (!bound(?end) || ?end >= "1939-09-01"^^xsd:date)
  ?president_tenure fb:government.government_position_held.office_position fb:m.02yy8 .
}
```

[Tool] False

[Assistant] I'm still struggling to find a working query. I'll try a different approach. I'll search for the term of Franklin D. Roosevelt and then check if it overlaps with WWII.

[Tool]
Top 10 property alternatives:
1. Condition (fb:medicine.notable_person_with_medical_condition.condition): Public figure with medical condition, Disease or medical condition
2. entry (fb:user.tsegaran.random.taxonomy_subject.entry): Taxonomy Subject, Taxonomy Entry
3. Description (fb:common.topic.description): Topic, Text
4. Also known as (fb:common.topic.alias): Topic, Text
5. Type (fb:type.object.type): Object, Type
6. Key (fb:type.object.key): Object, Key
7. Official name (fb:base.schemastaging.context_name.official_name): Context name, Text
8. Name (fb:type.object.name): Object, Text
9. Member of (fb:organization.organization_member.member_of): Organization membership, Organization member
10. Gender (fb:people.person.gender): Person, Gender

No other items found

[Assistant] I'm unable to find a suitable property. I'm going to try a different strategy. I will search for "president of the united states" and then try to find the term for Franklin D. Roosevelt.

[Tool]
Top 10 entity alternatives:
1. President of the United States, also known as President of the United States of America, Commander in Chief (fb:m.060d2): The President of the United States of America is the elected hea...er or both houses of Congress under extraordinary circumstances., 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., Film character
3. The President of the United States (fb:m.016_gy9): 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., Film character
5. The President of the United States (fb:m.0c8cjzr): Book Edition
6. The President of the United States (fb:m.0c8cjz4): Book Edition
7. The President of the United States (fb:m.06gznbw): Book
8. The President of the United States (fb:m.0c4hf0f): 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., 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., Film character

[Assistant]
We have `fb:m.060d2` as "President of the United States". Let's try to connect this with Franklin D. Roosevelt.
```sparql
SELECT ?start ?end WHERE {
  fb:m.060d2 fb:government.government_office.occupants ?tenure .
  ?tenure fb:government.government_position_held.from ?start .
  OPTIONAL { ?tenure fb:government.government_position_held.to ?end . }
  ?tenure fb:government.government_position_held.person fb:m.02yy8 .
  FILTER (?start <= "1945-09-02"^^xsd:date)
  FILTER (!bound(?end) || ?end >= "1939-09-01"^^xsd:date)
}
```

[Tool] Got no rows and 2 columns

[Assistant]
I'm still unable to get the correct result. I'm going to try a different approach. I'll search for the US president during WWII and try to find the president's name.
```sparql
SELECT ?president_name WHERE {
  ?president fb:government.country.leader fb:m.09c7w0 .
  ?president fb:common.topic.description ?description .
  FILTER regex(?description, "World War II")
  ?president rdfs:label ?president_name .
}
```

[Tool] Got no rows and 1 columns

[Assistant] I am unable to construct a SPARQL query that correctly identifies the president of the US during WWII. I suspect the data in Freebase is not structured in a way that allows me to easily answer this question using SPARQL. I will cancel and provide the answer directly.

[Tool] Stopped generation process


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

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?

[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., 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., Athlete
3. Terry Waite Sez (fb:m.0n0ddq): Musical Recording
4. Terry Waite Sez (fb:m.0sgyp7): Musical Recording
5. Terry Waite Sez (fb:m.011740ty): Composition
6. Terry Waites (fb:m.0_6plwk): 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 most likely entity is Terry Waite (fb:m.013p_j). Now I will search for the property related to birth place.

[Tool]
Top 10 property alternatives:
1. Place of birth (fb:people.person.place_of_birth): Location, Person
2. Date of birth (fb:people.person.date_of_birth): Date/Time, Person
3. Country of nationality (fb:people.person.nationality): Country, Person
4. Name (fb:type.object.name): Object, Text
5. Key (fb:type.object.key): Object, Key
6. Gender (fb:people.person.gender): Person, Gender
7. Type (fb:type.object.type): Object, Type
8. Image (fb:common.topic.image): Topic, Image
9. Religion (fb:people.person.religion): Religion, Person
10. Notable for (fb:common.topic.notable_for): notable_for, Topic

No other items found

[Assistant] The property is fb:people.person.place_of_birth. Now I will construct the SPARQL query.

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

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?type WHERE {
  fb:m.04lg6 fb:common.topic.notable_types ?type .
}

Visual Artist

[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] I need to identify the properties that describe the type of art Leonardo da Vinci did.

[Tool]
No property items found

No other items found

[Assistant] I couldn't find a property called "art type". I will try to find properties related to "art" in general for Leonardo da Vinci.

[Tool]
No property items found

No other items found

[Assistant] I will try to search for the 'field' property.

[Tool]
No property items found

No other items found

[Assistant] I will try to search for the 'genre' property.

[Tool]
No property items found

No other items found

[Assistant] I will try to find the properties of Leonardo da Vinci using the `list` function.

[Tool] Got no rows and 3 columns

[Assistant] I will try to search for the 'influenced by' property.

[Tool]
No property items found

No other items found

[Assistant] I will try to search for the 'occupation' property.

[Tool]
No property items found

No other items found

[Assistant] I will try to search for the 'profession' property.

[Tool]
No property items found

No other items found

[Assistant] I will try to search for the 'art form' property.

[Tool]
No property items found

No other items found

[Assistant] I'm having trouble finding the right property. I will try to search for entities related to Leonardo da Vinci and art.

[Tool]
Top 10 entity alternatives:
1. Leonardo da Vinci Art School (fb:m.047qpm8): The Leonardo da Vinci Art School was an art school founded in Ne...Noguchi and whose director was sculptor and poet Onorio Ruotolo., Educational Institution
2. Leonardo da Vinci Art Institute, also known as Leonardo da Vinci Art Institute, main campus (fb:m.01d6p5): The Leonardo da Vinci Art Institute was an Italian art institute...special, individual, and nurturing environment in the Institute., College/University
3. Art of Leonardo Da Vinci (fb:m.06lczdm): Book
4. Discovery of Art: Leonardo Da Vinci (fb:m.0crzq9q): Film
5. Leonardo da Vinci International Art Award (fb:m.02qzkyb): The Leonardo da Vinci Award was established in 1975 by the Rotar...will again be responsible for hosting the prize-giving ceremony., Award
6. Famous Artists - Leonardo Da Vinci (fb:m.06dxbyj): Book
7. Leonardo da Vinci World Award of Arts (fb:m.0wqccrm): The Leonardo da Vinci World Award of Arts has been established b... medal and US$10,000. The award is named after Leonardo da Vinci
8. Leonardo Da Vinci: Young Artist, Writer, and Inventor (fb:m.09282bv): Book Edition
9. Leonardo Da Vinci: Young Artist, Writer, and Inventor (fb:m.080crf1): Book Edition
10. 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., Visual Artist

[Assistant] The search result "Leonardo da Vinci, also known as Da Vinci, Leonardo di ser Piero da Vinci, Leonardo DaVinci, Leonardo (fb:m.04lg6)" seems relevant. I will try to find the properties of this entity.

[Tool]
Got 1,499 rows and 3 columns, showing the first 10 rows below:
| subject                        | property                                                            | object                                                                         |
| ------------------------------ | ------------------------------------------------------------------- | ------------------------------------------------------------------------------ |
| Leonardo da Vinci (fb:m.04lg6) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                        |
| Leonardo da Vinci (fb:m.04lg6) | Key (fb:type.object.key)                                            | /authority/daylife/topic/0cJ585v1bKel5                                         |
| Leonardo da Vinci (fb:m.04lg6) | Name (fb:type.object.name)                                          | Léonard de Vinci (fr)                                                          |
| Leonardo da Vinci (fb:m.04lg6) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%44%4A%48%46%27%31%2F%48_%2F%27_%41%4A%46%34%4A> |
| Leonardo da Vinci (fb:m.04lg6) | Notable for (fb:common.topic.notable_for)                           | fb:g.1254yrdl_                                                                 |
| Leonardo da Vinci (fb:m.04lg6) | Notable types (fb:common.topic.notable_types)                       | Visual Artist (fb:m.01y2hcj)                                                   |
| Leonardo da Vinci (fb:m.04lg6) | Description (fb:common.topic.description)                           | Dia telah digambarkan sebagai to...stronomi, dan kejuruteraan awam. (ms)       |
| Leonardo da Vinci (fb:m.04lg6) | Article (fb:common.topic.article)                                   | fb:m.04lgj                                                                     |
| Leonardo da Vinci (fb:m.04lg6) | Also known as (fb:common.topic.alias)                               | Da Vinci (en)                                                                  |
| Leonardo da Vinci (fb:m.04lg6) | Has value (fb:freebase.valuenotation.has_value)                     | Weight (fb:m.025d7w3)                                                          |
| ...                            | ...                                                                 | ...                                                                            |

[Assistant] I found the property `Notable types (fb:common.topic.notable_types)` with the object `Visual Artist (fb:m.01y2hcj)`. I will use this information to create a SPARQL query.

[Tool] Stopped generation process