PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?name ?description WHERE {
  fb:m.0f4vbz fb:type.object.name ?name .
  OPTIONAL {
    fb:m.0f4vbz fb:common.topic.description ?description
  }
  FILTER ( LANG( ?name ) = "en" ) FILTER ( LANG( ?description ) = "en" || ! BOUND( ?description ) )
}
LIMIT 1

Angelina Jolie (Angelina Jolie Pitt) is an American actress, filmmaker, and human rights activist. She is known for her roles in movies such as In the Land of Blood and Honey and Unbroken.

[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 is angelina jolie?

[Assistant]
To answer the question "Who is Angelina Jolie?" I need to find the entity representing Angelina Jolie in the Freebase knowledge graph and then retrieve relevant information about her, such as her description or notable attributes.

First, I will search for the entity "Angelina Jolie" in the Freebase knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Angelina Jolie, also known as AJ, Angie, Angelina Jolie Voight, Angelina, Ange (fb:m.0f4vbz): Angelina Jolie Pitt is an American actress, filmmaker, and human... the wartime dramas In the Land of Blood and Honey and Unbroken., has type Celebrity
2. Angelina Jolie (fb:m.05nfmq3): has type TV Episode
3. Angelina Jolie (fb:m.05ng8bq): has type TV Episode
4. Angelina Jolie (fb:m.05ng0pn): Tonight, actress Angelina Jolie promotes her new movie A Mighty ...eteorological Society if they do not speak about global warming., has type TV Episode
5. Angelina Jolie (fb:m.05dmr87): has type TV Episode
6. Angelina Jolie (fb:m.0f7ljqx): has type Musical Recording
7. Angelina Jolie, also known as Britney Spears (fb:m.07ldn9f): has type TV Episode
8. Angelina Jolie (fb:m.05dfkbr): The hugely successful actress takes the chair and answers the questions about her career, love and life with candour and charm., has type TV Episode
9. Angelina Jolie (fb:m.079lnp0): The wild Angelina tells all., has type TV Episode
10. Angelina Jolie (fb:m.0ghhxln): has type TV Episode

[Assistant] I found the entity for Angelina Jolie in Freebase: fb:m.0f4vbz. This entity is described as Angelina Jolie Pitt, an American actress, filmmaker, and human rights activist. I will now construct a SPARQL query to retrieve a brief description or relevant information about this entity.

[Tool]
Got 20 rows and 4 columns, showing the first 5 and last 5 rows below:
| property                 | propertyLabel | value                                                               | valueLabel |
| ------------------------ | ------------- | ------------------------------------------------------------------- | ---------- |
| fbkey:wikipedia.el       |               | $0391$03BD$03C4$03B6$03B5$03BB$0...D$03B1_$03A4$03B6$03BF$03BB$03AF |            |
| fbkey:wikipedia.el_title |               | $0391$03BD$03C4$03B6$03B5$03BB$0...D$03B1_$03A4$03B6$03BF$03BB$03AF |            |
| fbkey:wikipedia.el       |               | $0391$03BD$03C4$03B6$03B5$03BB$0...D$03B1_$03C4$03B6$03BF$03BB$03AF |            |
| fbkey:wikipedia.bg       |               | $0410$043D$0434$0436$0435$043B$0...D$0430_$0414$0436$043E$043B$0438 |            |
| fbkey:wikipedia.ru       |               | $0410$043D$0434$0436$0435$043B$0...D$0430_$0414$0436$043E$043B$0438 |            |
| ...                      | ...           | ...                                                                 | ...        |
| fbkey:wikipedia.sr       |               | $0410$043D$045F$0435$043B$0438$043D$0430_$040F$043E$043B$0438       |            |
| fbkey:wikipedia.sr_title |               | $0410$043D$045F$0435$043B$0438$043D$0430_$040F$043E$043B$0438       |            |
| fbkey:wikipedia.sr       |               | $0410$043D$045F$0435$043B$0438$043D$0430_$0416$043E$043B$0438       |            |
| fbkey:wikipedia.ru_title |               | $0414$0436$043E$043B$0438$002C_$...34$0436$0435$043B$0438$043D$0430 |            |
| fbkey:wikipedia.ru       |               | $0414$0436$043E$043B$0438$002C_$...34$0436$0435$043B$0438$043D$0430 |            |

[Assistant] The query results show some Wikipedia keys in various languages but no direct description or summary of Angelina Jolie. I will try to retrieve a short description or notable attributes such as profession, date of birth, or a brief abstract if available for the entity fb:m.0f4vbz. I will focus on common properties like "type," "profession," "date of birth," and "description" or similar.

[Tool]
Top 10 property alternatives:
1. Description (fb:common.topic.description): part of Topic schema, links to type Text
2. Image (fb:common.topic.image): part of Topic schema, links to type Image
3. Name (fb:type.object.name): part of Object schema, links to type Text
4. Type (fb:type.object.type): part of Object schema, links to type Type
5. Key (fb:type.object.key): part of Object schema, links to type Key
6. Member of (fb:music.group_member.membership): links to type Musical Group Membership, part of Musician schema
7. Wears (fb:base.popstra.celebrity.wears): links to type Fashion Choice, part of Celebrity schema
8. Web Link(s) (fb:common.topic.webpage): links to type Webpage, part of Topic schema
9. Subjects (fb:common.topic.subjects): part of Topic schema, links to type Topic
10. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country

No other items found

[Assistant] The property fb:common.topic.description is used for descriptions. I will query for the description of Angelina Jolie using this property. Additionally, I will retrieve her name and type for context.

[Tool]
Got 1 row and 2 columns:
| name                | description                                                              |
| ------------------- | ------------------------------------------------------------------------ |
| Angelina Jolie (en) | Angelina Jolie Pitt is an Americ...of Blood and Honey and Unbroken. (en) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?latitude ?longitude WHERE {
  fb:m.05fym fb:location.location.geolocation ?geo .
  ?geo fb:location.geocode.latitude ?latitude .
  ?geo fb:location.geocode.longitude ?longitude .
}

Nineveh city is located at latitude 36.359444 and longitude 43.152778.

[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 is nineveh city?

[Assistant]
To answer the question "Where is Nineveh city?" I need to find the entity corresponding to "Nineveh city" in the knowledge graph and then find its location or place property.

Step 1: Search for the entity "Nineveh" in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Nineveh, also known as Nineveh, Iraq (fb:m.05fym): Nineveh is an ancient Mesopotamian city on the eastern bank of t...e walls are Kouyunjik, the Northern Palace, and Tell Nabī Yūnus., has type City/Town/Village
2. Nineveh, also known as Nineveh, New York (fb:m.0dlq6q): Nineveh is a hamlet with about 50 homes on the banks of the Susq...e river basin inundated many homes along the banks of the river., has type City/Town/Village
3. Nineveh, also known as Nineveh, Indiana (fb:m.03hlp1b): Nineveh is an unincorporated community in Nineveh Township, John...o a fire just a few years after it was closed for consolidation., has type City/Town/Village
4. Nineveh, also known as Nineveh, Worcestershire (fb:m.0g2rzv): There have been three places called Nineveh in England. Two are ...evah at SP047890 which has now been subsumed into West Bromwich., has type City/Town/Village
5. Nineveh, also known as Nineveh (Score) (fb:m.0yzw8l): has type Musical Recording
6. Nineveh (fb:m.0z53y3): has type Musical Recording
7. Nineveh, also known as Nineveh, Missouri (fb:m.04b1ddn): has type City/Town/Village
8. Nineveh, also known as Nineveh, Pennsylvania (fb:m.04bl9w1): has type City/Town/Village
9. Nineveh, also known as Nineveh, Texas (fb:m.04by4h8): has type City/Town/Village
10. Nineveh, also known as Nineveh, Virginia (fb:m.04c2s8g): has type City/Town/Village

[Assistant]
I found several entities named "Nineveh" in the knowledge graph. The most relevant one for the ancient city is the first result: Nineveh, Iraq (fb:m.05fym), which is described as an ancient Mesopotamian city.

Step 2: I will now find the location or place property of the entity fb:m.05fym (Nineveh, Iraq). I will list some properties of this entity to identify the relevant property for location.

[Tool]
Got 612 rows and 3 columns, showing the first 10 rows below:
| subject              | property                                                            | object                                                                   |
| -------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Nineveh (fb:m.05fym) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Nineveh (fb:m.05fym) | Key (fb:type.object.key)                                            | /en/nineveh                                                              |
| Nineveh (fb:m.05fym) | Name (fb:type.object.name)                                          | Nineve (sv)                                                              |
| Nineveh (fb:m.05fym) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%46%4A%46%48%49>                           |
| Nineveh (fb:m.05fym) | Notable for (fb:common.topic.notable_for)                           | fb:g.1254y3lv5                                                           |
| Nineveh (fb:m.05fym) | Notable types (fb:common.topic.notable_types)                       | City/Town/Village (fb:m.01m9)                                            |
| Nineveh (fb:m.05fym) | Description (fb:common.topic.description)                           | 36.36666666666743.15
Ninive, Nin...llerdings um Jahrhunderte älter. (de) |
| Nineveh (fb:m.05fym) | Article (fb:common.topic.article)                                   | fb:m.05fyy                                                               |
| Nineveh (fb:m.05fym) | Also known as (fb:common.topic.alias)                               | Nineveh, Iraq (en)                                                       |
| Nineveh (fb:m.05fym) | Contained by (fb:location.location.containedby)                     | Iraq (fb:m.0d05q4)                                                       |
| ...                  | ...                                                                 | ...                                                                      |

[Assistant]
The entity Nineveh (fb:m.05fym) has a property "Contained by" (fb:location.location.containedby) with the object Iraq (fb:m.0d05q4), indicating it is located in Iraq. I want to find more specific location information such as coordinates or a more precise place.

Step 3: I will search for properties related to location or coordinates for the entity Nineveh (fb:m.05fym).

[Tool]
Top 10 property alternatives:
1. Name (fb:type.object.name): part of Object schema, links to type Text
2. Description (fb:common.topic.description): part of Topic schema, links to type Text
3. Geolocation (fb:location.location.geolocation): part of Location schema, links to type Geocode
4. Image (fb:common.topic.image): part of Topic schema, links to type Image
5. Key (fb:type.object.key): part of Object schema, links to type Key
6. Article (fb:common.topic.article): links to type Document, part of Topic schema
7. Type (fb:type.object.type): part of Object schema, links to type Type
8. Events (fb:location.location.events): part of Location schema, links to type Event
9. Contained by (fb:location.location.containedby): part of Location schema, links to type Location
10. Ellerdale ID (fb:user.avh.default_domain.ellerdale_topic.ellerdale_id): part of Ellerdale Topic schema, links to type Enumeration

No other items found

[Assistant]
The property "Geolocation" (fb:location.location.geolocation) seems to be the relevant property for the location coordinates of Nineveh.

Step 4: I will query the geolocation of Nineveh (fb:m.05fym) using the property fb:location.location.geolocation.

[Tool]
Got 1 row and 3 columns:
| subject              | property                                       | object       |
| -------------------- | ---------------------------------------------- | ------------ |
| Nineveh (fb:m.05fym) | Geolocation (fb:location.location.geolocation) | fb:m.02_hynm |

[Assistant] The geolocation of Nineveh (fb:m.05fym) is given by the entity fb:m.02_hynm. I will now find the coordinates of this geolocation entity.

[Tool]
Got 4 rows and 3 columns:
| subject      | property                                  | object                        |
| ------------ | ----------------------------------------- | ----------------------------- |
| fb:m.02_hynm | Type (fb:type.object.type)                | Geocode (fb:location.geocode) |
| fb:m.02_hynm | Latitude (fb:location.geocode.latitude)   | 36.359444                     |
| fb:m.02_hynm | Longitude (fb:location.geocode.longitude) | 43.152778                     |
| fb:m.02_hynm | rdf:type                                  | Geocode (fb:location.geocode) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?state ?stateLabel WHERE {
  fb:m.03_js fb:people.person.places_lived ?place .
  ?place fb:people.place_lived.location ?state .
  OPTIONAL {
    ?state rdfs:label ?stateLabel .
    FILTER ( LANG( ?stateLabel ) = "en" )
  }
  FILTER ( ?state = fb:m.05k7sb )
}

John Adams lived in the state of Massachusetts.

[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 state did john adams live in?

[Assistant] To answer the question "What state did John Adams live in?" I will first search for the entity "John Adams" in the Freebase knowledge graph to identify the correct entity representing John Adams. Then, I will look for properties related to places where he lived, such as residence or location.

[Tool]
Top 10 entity alternatives:
1. John Adams, also known as John Coolidge Adams, John C. Adams (fb:m.046q7): John Coolidge Adams is an American composer with strong roots in.... The work's creators and others have disputed these criticisms., John Adams is a film music composer., has type Composer
2. John Adams, also known as The Colossus of Independence, The Duke of Braintree, Old Sink or Swim, His Rotundity, Bonny Johnny (fb:m.03_js): John Adams was the second president of the United States, after ...d a leading role in persuading Congress to declare independence., has type US President
3. John Adams (fb:m.03cv_gy): John Adams is a 2008 American television miniseries chronicling ...thirteen Emmy awards, more than any other miniseries in history., has type TV Program
4. John Adams, also known as Alexander Smith (fb:m.017ldn): John Adams, known as Jack Adams was the last survivor of the Bou...anity and taught the children to read and write using the Bible., has type Military Person
5. Jonathan Adams, also known as John Adams (fb:m.06qbg0): Jonathan Adams was an English actor, born in Northampton, Englan... David Gommon is displayed on the BBC Paintings on-line gallery., has type Musical Artist
6. John Adams (fb:m.04m1z1): Sir John Bertram Adams KBE, FRS was a British accelerator physic...ctor-General, working on obtaining funding for the LEP collider., has type Award Winner
7. Bert Adams, also known as Bert Adams, John Bertram Adams, John Adams (fb:m.02wz03z): John Bertram Adams was a professional baseball player in the ear...1910 to 1919, with the Cleveland Naps and Philadelphia Phillies., has type Baseball Player
8. John Adams (fb:m.0fzn3bk): has type Musical Release
9. John Adams (fb:m.04v57_n): John Adams is an edition of a book by David McCullough., has type Book Edition
10. John Adams (fb:m.03wncyv): John Adams is a 2001 biography of the Founding Father and second...hn Adams. The book is available as both hardcover and paperback., A biography of the United States of America's second President and a Founding Father of the American Revolution for Independence., has type Book

[Assistant] The entity representing John Adams, the second president of the United States, is fb:m.03_js. Next, I will search for properties related to places where he lived, such as residence or location, for this entity.

[Tool]
Top 10 property alternatives:
1. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
2. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
3. Profession (fb:people.person.profession): links to type Profession, part of Person schema
4. Places lived (fb:people.person.places_lived): links to type Place lived, part of Person schema
5. entry (fb:user.tsegaran.random.taxonomy_subject.entry): part of Taxonomy Subject schema, links to type Taxonomy Entry
6. Spouse (or domestic partner) (fb:people.person.spouse_s): links to type Marriage, part of Person schema
7. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
8. Place of burial (fb:people.deceased_person.place_of_burial): links to type Place of interment, part of Deceased Person schema
9. Place of death (fb:people.deceased_person.place_of_death): part of Deceased Person schema, links to type Location
10. Official website (fb:common.topic.official_website): part of Topic schema, links to type URI

No other items found

[Assistant] The property "Places lived" (fb:people.person.places_lived) seems to be the most relevant to answer the question about the state John Adams lived in. I will now query the places John Adams lived in using this property.

[Tool]
Got 2 rows and 2 columns:
| place        | placeLabel |
| ------------ | ---------- |
| fb:m.03pvpw8 |            |
| fb:m.04hdf4v |            |

[Assistant] John Adams lived in two places identified by the entities fb:m.03pvpw8 and fb:m.04hdf4v. I will now look up the labels of these places to find out which states they correspond to.

[Tool]
Got 2 rows and 2 columns:
| place        | placeLabel |
| ------------ | ---------- |
| fb:m.03pvpw8 |            |
| fb:m.04hdf4v |            |

[Assistant] The places fb:m.03pvpw8 and fb:m.04hdf4v do not have English labels directly. I will try to find more information about these places, such as their type or any related location information, to identify the states they correspond to.

[Tool]
Got 4 rows and 3 columns:
| subject      | property                                  | object                              |
| ------------ | ----------------------------------------- | ----------------------------------- |
| fb:m.03pvpw8 | Type (fb:type.object.type)                | Place lived (fb:people.place_lived) |
| fb:m.03pvpw8 | Location (fb:people.place_lived.location) | Massachusetts (fb:m.05k7sb)         |
| fb:m.03pvpw8 | Person (fb:people.place_lived.person)     | John Adams (fb:m.03_js)             |
| fb:m.03pvpw8 | rdf:type                                  | Place lived (fb:people.place_lived) |

[Tool]
Got 4 rows and 3 columns:
| subject      | property                                  | object                              |
| ------------ | ----------------------------------------- | ----------------------------------- |
| fb:m.04hdf4v | Type (fb:type.object.type)                | Place lived (fb:people.place_lived) |
| fb:m.04hdf4v | Location (fb:people.place_lived.location) | Braintree (fb:m.01cj4g)             |
| fb:m.04hdf4v | Person (fb:people.place_lived.person)     | John Adams (fb:m.03_js)             |
| fb:m.04hdf4v | rdf:type                                  | Place lived (fb:people.place_lived) |

[Assistant] The place fb:m.03pvpw8 corresponds to the location Massachusetts (fb:m.05k7sb), and the place fb:m.04hdf4v corresponds to the location Braintree (fb:m.01cj4g). Since Braintree is a town in Massachusetts, the state John Adams lived in is Massachusetts. I will now finalize the answer.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?fatherPlaceName ?motherPlaceName WHERE {
  fb:m.01v6nf fb:people.person.place_of_birth ?fatherPlace .
  ?fatherPlace fb:type.object.name ?fatherPlaceName .
  fb:m.0c7vl1 fb:people.person.place_of_birth ?motherPlace .
  ?motherPlace fb:type.object.name ?motherPlaceName .
  FILTER ( LANG( ?fatherPlaceName ) = "en" ) FILTER ( LANG( ?motherPlaceName ) = "en" )
}

Got 1 row and 2 columns:
| fatherPlaceName     | motherPlaceName |
| ------------------- | --------------- |
| Colonia Dublán (en) | Logan (en)      |

Mitt Romney's family origin can be traced to his father's birthplace, Colonia Dublán, and his mother's birthplace, Logan.

[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 is mitt romney's family from?

[Assistant]
The user is asking about the origin or ancestral background of Mitt Romney's family. To answer this, I need to identify the entity for Mitt Romney in the Freebase knowledge graph and then find properties related to his family's origin or ancestry.

Step 1: Search for the entity "Mitt Romney" in Freebase.

[Tool]
Top 10 entity alternatives:
1. Mitt Romney, also known as Willard Mitt Romney (fb:m.0271_s): Willard Mitt Romney is an American businessman and politician wh...t firm that became one of the largest of its kind in the nation., has type Politician
2. Mitt Romney (fb:m.06x8tlp): has type TV Episode
3. Mitt Romney (fb:m.059z03t)
4. Mitt Romney (fb:m.0_0yrlh): Mitt Romney is a fictional character from the 2008 TV program Saturday Night Live: Weekend Update Thursday., has type TV Character
5. Mitt Romney (fb:m.02crmpb)
6. Mitt Romney (fb:m.03sv2np)
7. Mitt Romney (fb:m.0k04ykc)
8. Mitt Romney, Ann Romney (fb:m.06y_lps): has type TV Episode
9. Mitt Romney, Mia Wasikowska, a T...n List presented by Evan Lysacek, also known as Mitt Romney, Mia Wasikowska (fb:m.0bgmnq5): Author Mitt Romney; actress Mia Wasikowska; figure skater Evan Lysacek presents the Top Ten list., has type TV Episode
10. Mitt Romney, Jay Mohr, Darius Rucker, also known as Mitt Romney, Darius Rucker (fb:m.0f_rr_6): has type TV Episode

[Assistant] The most relevant entity for Mitt Romney is fb:m.0271_s, which corresponds to Willard Mitt Romney, the American businessman and politician. Next, I will search for properties related to family origin or ancestry for this entity. I will start by searching for properties related to "family" or "origin" for Mitt Romney.

[Tool]
Top 10 property alternatives:
1. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
2. Named after (fb:symbols.namesake.named_after): links to type Name source, part of Namesake schema
3. Siblings (fb:people.person.sibling_s): links to type Sibling Relationship, part of Person schema
4. Parents (fb:people.person.parents): part of Person schema, links to type Person
5. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
6. Name (fb:type.object.name): part of Object schema, links to type Text
7. Name ID (fb:imdb.topic.name_id): links to type Enumeration, part of Topic schema
8. Short name (fb:base.schemastaging.context_name.short_name): part of Context name schema, links to type Text
9. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
10. Places lived (fb:people.person.places_lived): links to type Place lived, part of Person schema

No other items found

[Assistant]
The search for properties related to "family origin" for Mitt Romney did not yield a direct property indicating family origin or ancestry. However, relevant properties that might help infer family origin include "parents" (fb:people.person.parents) and "place of birth" (fb:people.person.place_of_birth).

I will first check the parents of Mitt Romney to see if there is any information about their origin.

[Tool]
Got 2 rows and 3 columns:
| subject                   | property                           | object                         |
| ------------------------- | ---------------------------------- | ------------------------------ |
| Mitt Romney (fb:m.0271_s) | Parents (fb:people.person.parents) | George W. Romney (fb:m.01v6nf) |
| Mitt Romney (fb:m.0271_s) | Parents (fb:people.person.parents) | Lenore Romney (fb:m.0c7vl1)    |

[Assistant] Mitt Romney's parents are George W. Romney (fb:m.01v6nf) and Lenore Romney (fb:m.0c7vl1). Next, I will check the places of birth for each of his parents to gather information about the family's origin.

[Tool]
Got 1 row and 3 columns:
| subject                        | property                                         | object                       |
| ------------------------------ | ------------------------------------------------ | ---------------------------- |
| George W. Romney (fb:m.01v6nf) | Place of birth (fb:people.person.place_of_birth) | Colonia Dublán (fb:m.0fwy6w) |

[Assistant] George W. Romney's place of birth is Colonia Dublán (fb:m.0fwy6w). Now I will check the place of birth for Lenore Romney.

[Tool]
Got 1 row and 3 columns:
| subject                     | property                                         | object              |
| --------------------------- | ------------------------------------------------ | ------------------- |
| Lenore Romney (fb:m.0c7vl1) | Place of birth (fb:people.person.place_of_birth) | Logan (fb:m.010dft) |

[Assistant] Lenore Romney's place of birth is Logan (fb:m.010dft). To provide a complete answer, I will retrieve the labels for these places of birth: Colonia Dublán and Logan.

[Tool]
Got 3 rows and 3 columns:
| subject                      | property                   | object              |
| ---------------------------- | -------------------------- | ------------------- |
| Colonia Dublán (fb:m.0fwy6w) | Name (fb:type.object.name) | Colonia Dublán (en) |
| Colonia Dublán (fb:m.0fwy6w) | Name (fb:type.object.name) | Colonia Dublán (es) |
| Colonia Dublán (fb:m.0fwy6w) | Name (fb:type.object.name) | Колония-Дублан (ru) |

[Tool]
Got 21 rows and 3 columns, showing the first 10 rows below:
| subject             | property                   | object     |
| ------------------- | -------------------------- | ---------- |
| Logan (fb:m.010dft) | Name (fb:type.object.name) | Logan (ca) |
| Logan (fb:m.010dft) | Name (fb:type.object.name) | Logan (cs) |
| Logan (fb:m.010dft) | Name (fb:type.object.name) | Logan (da) |
| Logan (fb:m.010dft) | Name (fb:type.object.name) | Logan (de) |
| Logan (fb:m.010dft) | Name (fb:type.object.name) | Logan (en) |
| Logan (fb:m.010dft) | Name (fb:type.object.name) | Logan (es) |
| Logan (fb:m.010dft) | Name (fb:type.object.name) | Logan (fr) |
| Logan (fb:m.010dft) | Name (fb:type.object.name) | Logan (it) |
| Logan (fb:m.010dft) | Name (fb:type.object.name) | Logan (nl) |
| Logan (fb:m.010dft) | Name (fb:type.object.name) | Logan (pl) |
| ...                 | ...                        | ...        |

[Assistant] Mitt Romney's father, George W. Romney, was born in Colonia Dublán, and his mother, Lenore Romney, was born in Logan. I will now finalize the answer with this information.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?location ?locationLabel WHERE {
  fb:m.01ymq1 fb:location.location.containedby ?location .
  OPTIONAL {
    ?location rdfs:label ?locationLabel
  }
}

Got 209 rows and 2 columns, showing the first 5 and last 5 rows below:
| location                   | locationLabel                 |
| -------------------------- | ----------------------------- |
| California (fb:m.01n7q)    | California (en)               |
| California (fb:m.01n7q)    | California (es)               |
| California (fb:m.01n7q)    | California (es-419)           |
| California (fb:m.01n7q)    | California (et)               |
| California (fb:m.01n7q)    | California (fil)              |
| ...                        | ...                           |
| Shasta County (fb:m.0l30v) | شهرستان شاستا، کالیفرنیا (fa) |
| Shasta County (fb:m.0l30v) | مقاطعة شاستا، كاليفورنيا (ar) |
| Shasta County (fb:m.0l30v) | シャスタ郡 (ja)                    |
| Shasta County (fb:m.0l30v) | 沙斯塔县 (zh)                     |
| Shasta County (fb:m.0l30v) | 沙斯塔縣 (zh-Hant)                |

Mt Lassen (Lassen Peak) is located in Shasta County, California, within Lassen Volcanic National Park, and not specifically in a city.

[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 city is mt lassen in?

[Assistant]
To answer the question "What city is Mt Lassen in?", I need to identify the entity for "Mt Lassen" in the knowledge graph and then find the property that links this entity to a city.

Step 1: Search for the entity "Mt Lassen" in the Freebase knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Mt. Lassen Power (fb:m.09mwqq2): has type Business Operation
2. Sierra wildflowers: Mt. Lassen to Kern Canyon (fb:m.06jl93p): has type Book
3. Lassen (fb:m.0rks3hz): has type Musical Recording
4. Lassen (fb:m.0dp__m2): has type Musical Recording
5. Lassen (fb:m.010q13yy): Huell goes National in this episode of California's Golden Parks...ngsulphur vents make up some of Lassen's breathtaking landscape., has type TV Episode
6. Lassen (fb:m.0ghblqc): has type Organism Classification
7. Lassen (fb:m.012ynbyg)
8. Lassen (fb:m.0zkjhjs)
9. Lassen (fb:m.0rkws7k)
10. Lassen (fb:m.0m97pdr)

[Assistant] The search results for "Mt Lassen" did not directly return a clear entity for the mountain itself, but there are several entities named "Lassen." I will try searching for "Mount Lassen" instead to see if it yields a more precise entity for the mountain.

[Tool]
Top 10 entity alternatives:
1. mount (fb:m.02p6qlh): Before a user can access a file on a Unix-like machine, the file...fined as user mountable in the /etc/fstab file by the root user., has type Software
2. Mount (fb:m.0d6d45): Mounting takes place before a computer can use any kind of stora...er's file system. A user can only access files on mounted media.
3. Mount (fb:m.087vgt): The mount, or mounted position, is a dominant ground grappling p...opponent or transition into a better position such as the guard.
4. HM Prison The Mount, also known as Mount (fb:m.026fb8m): HM Prison The Mount is a Category C men's prison, located on the...d. The Mount Prison is operated by Her Majesty's Prison Service., has type Location
5. MOUNT (fb:m.0fm7017): has type Canonical Version
6. Lassen (fb:m.0rks3hz): has type Musical Recording
7. Mount (fb:m.011y2wj1): has type Musical Recording
8. Mount (fb:m.04vczq4): has type Book Edition
9. Mount (fb:m.0sp0w4n): has type Musical Recording
10. Mount (fb:m.012ws9hn): has type Musical Recording

[Assistant] The search for "Mount Lassen" did not return a clear entity for the mountain either. I will try searching for "Lassen Peak," which is another common name for Mt Lassen, to see if it yields a more precise entity for the mountain.

[Tool]
Top 10 entity alternatives:
1. Lassen Peak (fb:m.01ymq1): Lassen Peak, also known as Mount Lassen, is the southernmost act...tures. Unlike most lava domes, Lassen Peak is topped by craters., has type Mountain
2. Lassen Peak (Calif.) (fb:m.0bp7bnb)
3. Lassen Peak Manzanita Lake (fb:m.0crmb90)
4. Mountain, also known as peak (fb:m.09d_r): A mountain is a large landform that stretches above the surround... planet in the Solar System is Olympus Mons on Mars at 21,171 m., has type Geographical feature category
5. Peak, also known as Newberry County / Peak town, Peak, South Carolina (fb:m.0_mtf): Peak is a town in Newberry County, South Carolina, United States. The population was 64 at the 2010 census., has type City/Town/Village
6. Peak (fb:m.0cnmf__): A pointed elevation atop a mountain, ridge, or other hypsographic feature., has type Geographical feature category
7. Peak (fb:m.0fmjdj9): has type Consumer product
8. Peak, also known as Paolo Picone (fb:m.0x7ks0y): Peak is an italian producer., has type Musical Artist
9. Peak (fb:m.0pdkv4t): Peak is the 2011 documentary film written by Hannes Lang and Mareike Wegener and directed by Hannes Lang., has type Film
10. Pattarasaya Kreuasuwansri, also known as Peak (fb:m.0vx62vx): Pattarasaya Kreuasuwansri is an actress., has type Film actor

[Assistant] I found the entity "Lassen Peak" (fb:m.01ymq1) which is also known as Mount Lassen and is a mountain. Now I will look for properties related to location or city for this entity to find out in which city Mt Lassen is located.

[Tool]
Top 10 property alternatives:
1. Name (fb:type.object.name): part of Object schema, links to type Text
2. Type (fb:type.object.type): part of Object schema, links to type Type
3. Image (fb:common.topic.image): part of Topic schema, links to type Image
4. Key (fb:type.object.key): part of Object schema, links to type Key
5. Listings (fb:geography.mountain.listings): links to type Mountain Listing, part of Mountain schema
6. Description (fb:common.topic.description): part of Topic schema, links to type Text
7. Elevation (fb:geography.mountain.elevation): links to type Floating Point Number, part of Mountain schema
8. Named after (fb:symbols.namesake.named_after): links to type Name source, part of Namesake schema
9. Article (fb:common.topic.article): links to type Document, part of Topic schema
10. Contained by (fb:location.location.containedby): part of Location schema, links to type Location

No other items found

[Assistant] The property "Contained by" (fb:location.location.containedby) seems relevant to find the location that contains Lassen Peak. I will query the value of this property for Lassen Peak to see if it returns a city or other location.

[Tool]
Got 209 rows and 2 columns, showing the first 5 and last 5 rows below:
| location                   | locationLabel                 |
| -------------------------- | ----------------------------- |
| California (fb:m.01n7q)    | California (en)               |
| California (fb:m.01n7q)    | California (es)               |
| California (fb:m.01n7q)    | California (es-419)           |
| California (fb:m.01n7q)    | California (et)               |
| California (fb:m.01n7q)    | California (fil)              |
| ...                        | ...                           |
| Shasta County (fb:m.0l30v) | شهرستان شاستا، کالیفرنیا (fa) |
| Shasta County (fb:m.0l30v) | مقاطعة شاستا، كاليفورنيا (ar) |
| Shasta County (fb:m.0l30v) | シャスタ郡 (ja)                    |
| Shasta County (fb:m.0l30v) | 沙斯塔县 (zh)                     |
| Shasta County (fb:m.0l30v) | 沙斯塔縣 (zh-Hant)                |

[Assistant] The "Contained by" property for Lassen Peak returns locations including "California" and "Shasta County." However, it does not directly return a city. Lassen Peak is contained in Shasta County, California. I will now check if there is a city within Shasta County that is associated with Lassen Peak. I will search for cities in Shasta County.

[Tool] Got no rows and 3 columns

[Assistant] There are no direct city entities listed under Shasta County with the property "city." I will try to find cities in Shasta County by searching for entities with the label "city" and contained by Shasta County.

[Tool]
Got 221 rows and 3 columns, showing the first 10 rows below:
| subject                                     | property                                        | object                     |
| ------------------------------------------- | ----------------------------------------------- | -------------------------- |
| Redding (fb:m.0r6rq)                        | Contained by (fb:location.location.containedby) | Shasta County (fb:m.0l30v) |
| Anderson (fb:m.0r6nl)                       | Contained by (fb:location.location.containedby) | Shasta County (fb:m.0l30v) |
| Shasta Lake (fb:m.0r6sg)                    | Contained by (fb:location.location.containedby) | Shasta County (fb:m.0l30v) |
| Lassen Volcanic National Park (fb:m.01ymnm) | Contained by (fb:location.location.containedby) | Shasta County (fb:m.0l30v) |
| Lassen Peak (fb:m.01ymq1)                   | Contained by (fb:location.location.containedby) | Shasta County (fb:m.0l30v) |
| Montgomery Creek (fb:m.0vfhp)               | Contained by (fb:location.location.containedby) | Shasta County (fb:m.0l30v) |
| Fall River Mills (fb:m.0vfcx)               | Contained by (fb:location.location.containedby) | Shasta County (fb:m.0l30v) |
| Shasta Dam (fb:m.037f_l)                    | Contained by (fb:location.location.containedby) | Shasta County (fb:m.0l30v) |
| Palo Cedro (fb:m.0r6rc)                     | Contained by (fb:location.location.containedby) | Shasta County (fb:m.0l30v) |
| French Gulch (fb:m.0r6p_)                   | Contained by (fb:location.location.containedby) | Shasta County (fb:m.0l30v) |
| ...                                         | ...                                             | ...                        |

[Assistant] There are several cities contained by Shasta County, including Redding, Anderson, Shasta Lake, Montgomery Creek, Fall River Mills, Palo Cedro, and French Gulch. I will check if Lassen Peak is associated with any of these cities specifically by checking if Lassen Peak is contained by any of these cities.

[Tool]
Got 20 rows and 2 columns, showing the first 5 and last 5 rows below:
| city                                        | cityLabel                              |
| ------------------------------------------- | -------------------------------------- |
| Lassen Volcanic National Park (fb:m.01ymnm) | Lassen Volcanicin kansallispuisto (fi) |
| Lassen Volcanic National Park (fb:m.01ymnm) | Lassen Volcanic nasjonalpark (no)      |
| Lassen Volcanic National Park (fb:m.01ymnm) | Lassen Volcanic nationalpark (sv)      |
| Lassen Volcanic National Park (fb:m.01ymnm) | Lassen-Volcanic-Nationalpark (de)      |
| Lassen Volcanic National Park (fb:m.01ymnm) | Lassen Volcanic National Park (da)     |
| ...                                         | ...                                    |
| Lassen Volcanic National Park (fb:m.01ymnm) | Лассен-Волканик (ru)                   |
| Lassen Volcanic National Park (fb:m.01ymnm) | پارک ملی آتشفشانی لاسن (fa)            |
| Lassen Volcanic National Park (fb:m.01ymnm) | ラッセン火山国立公園 (ja)                        |
| Lassen Volcanic National Park (fb:m.01ymnm) | 拉森火山国家公园 (zh)                          |
| Lassen Volcanic National Park (fb:m.01ymnm) | 拉森火山國家公園 (zh-Hant)                     |

[Assistant]
Lassen Peak is contained by Lassen Volcanic National Park, which is in Shasta County. However, it is not directly contained by any city in Shasta County according to the data. The mountain is located within the national park rather than a specific city.

I will finalize the answer stating that Mt Lassen (Lassen Peak) is located in Shasta County, California, within Lassen Volcanic National Park, and not specifically in a city.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?arena ?arenaLabel WHERE {
  fb:m.03t3zk fb:sports.sports_team.arena_stadium ?arena .
  ?arena rdfs:label ?arenaLabel .
  FILTER ( LANG( ?arenaLabel ) = "en" )
}

Ireland plays rugby union at the Aviva Stadium.

[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 do ireland play rugby union?

[Assistant]
The user question is asking about the location or venue where Ireland plays rugby union. This likely refers to the home stadium or stadiums where the Ireland national rugby union team hosts its matches.

Step 1: Identify the entity "Ireland" in the context of rugby union. This would be the Ireland national rugby union team.
Step 2: Identify the property that relates a sports team to its home venue or stadium.
Step 3: Construct a SPARQL query to find the home venue(s) of the Ireland national rugby union team.

I will start by searching for the entity "Ireland national rugby union team" in the freebase knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Ireland national rugby union team, also known as Ireland National Men's Rugby Football Union Team, Ireland National Mens Rugby Football Union Team, Ireland National Men's Rugby Union, Ireland National Mens Rugby Union, Ireland National Men's Rugby Union Team (fb:m.03t3zk): The Ireland national rugby union team represents the island of I... world, and led Ireland to only their second Grand Slam in 2009., has type Sports Team
2. Ireland national rugby union team (fb:m.05_5tk6): The Ireland national rugby union sevens team has previously comp...for the 2016 Olympics and joins the Sevens World Series by 2017., has type Sports Team
3. Ireland women's national rugby union team (fb:m.02z6rqf): The Ireland rugby union team represents both the Republic of Ireland and Northern Ireland in the rugby union., has type Sports Team
4. Ireland national under-20 rugby union team (fb:m.09g94cq): The Ireland under 20 rugby team was formed in 2006. In 2007, the...20s Championship. The current coach of the team is Mike Ruddock., has type Sports Team
5. Ireland national schoolboy rugby union team (fb:m.03qnhct): The Irish Schoolboys rugby union team is the national team for s...alent Ireland under 18 clubs side that play international rugby., has type Sports Team
6. Ireland women's national rugby union team (fb:m.0k997gh): The Ireland women's national sevens team represents Ireland in R...am qualified to the 2016 Final Olympic Qualification Tournament., has type Sports Team
7. Ireland national rugby union team tours (fb:m.04n5n24): This article is a list of tours by the Ireland national rugby union team, has type Sports Team
8. Australia national rugby union team, also known as Australian Rugby Football Union, Australian National Mens Rugby Union, Australian National Rugby Union Team, Australian National Rugby Union, Australian National Rugby Football Union Team (fb:m.02xhhy): The Australian national rugby union team is the representative s...f the IRB Hall only, and four are members of both Halls of Fame., has type Award Nominee
9. England national rugby union team, also known as England National Men's Rugby Football Union Team, England National Mens Rugby Football Union Team, England National Men's Rugby Union, England National Mens Rugby Union, England National Men's Rugby Union Team (fb:m.0333v_): The England national rugby union team represents England in rugb...n the final in the second cup in 1991, losing 12–6 to Australia., has type Award Winner
10. France national rugby union team, also known as France National Rugby Football Union, France National Men's Rugby Football Union Team, France National Mens Rugby Union Team, France National Men's Rugby Union Team, France National Mens Rugby Union (fb:m.03t49_): The France national rugby union team represents France in rugby ...ing to the All Blacks in 1987 and 2011 and to Australia in 1999., has type Sports Team

[Assistant]
I found multiple entities related to Ireland rugby union teams. The most relevant one for the question is:
- Ireland national rugby union team (fb:m.03t3zk)

Next, I will search for properties of this entity that might relate to the location or venue where they play rugby union. I will search for properties related to "home stadium" or "venue" for this entity.

[Tool]
Top 10 property alternatives:
1. Arena/Stadium (fb:sports.sports_team.arena_stadium): links to type Sports Facility, part of Sports Team schema
2. Venue (fb:sports.sports_team.venue): links to type Team/venue relationship, part of Sports Team schema
3. Sport (fb:sports.sports_team.sport): part of Sports Team schema, links to type Sport
4. Championships (fb:sports.sports_team.championships): links to type Sports League Championship Event, part of Sports Team schema
5. Fight song (fb:sports.sports_team.fight_song): part of Sports Team schema, links to type Fight song
6. Roster (fb:sports.sports_team.roster): links to type Sports team roster, part of Sports Team schema
7. Coaches (fb:sports.sports_team.coaches): links to type Sports team coach tenure, part of Sports Team schema
8. Coaches of this team (fb:base.rugby.rugby_club.coaches_of_this_team): links to type Rugby coaching tenure, part of Rugby club schema
9. Key (fb:type.object.key): part of Object schema, links to type Key
10. Name (fb:type.object.name): part of Object schema, links to type Text

No other items found

[Assistant]
The relevant properties for the Ireland national rugby union team related to where they play are:
- Arena/Stadium (fb:sports.sports_team.arena_stadium)
- Venue (fb:sports.sports_team.venue)

I will now construct a SPARQL query to get the arena or venue for the Ireland national rugby union team (fb:m.03t3zk). I will query for both properties to be comprehensive.

[Tool]
Got 1 row and 4 columns:
| arena                        | arenaLabel         | venue | venueLabel |
| ---------------------------- | ------------------ | ----- | ---------- |
| Aviva Stadium (fb:m.05h4fd2) | Aviva Stadium (en) |       |            |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?religion ?religionLabel WHERE {
  fb:m.0f8l9c fb:location.statistical_region.religions ?religionPercentage .
  ?religionPercentage fb:location.religion_percentage.religion ?religion .
  OPTIONAL {
    ?religion rdfs:label ?religionLabel FILTER ( LANG( ?religionLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| religion                  | religionLabel    |
| ------------------------- | ---------------- |
| Catholicism (fb:m.0c8wxp) | Catholicism (en) |

The knowledge graph indicates that Catholicism is a religion linked to France. However, detailed data on other popular religions and their percentages in France is not available in the knowledge graph.

[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 religions are popular in france?

[Assistant] To answer the question "What religions are popular in France?", I need to identify the entity for France and then find properties related to religions or religious demographics associated with France. I will start by searching for the entity "France" in the Freebase knowledge graph.

[Tool]
Top 10 entity alternatives:
1. France, also known as French Republic, République française, l'Hexagone (fb:m.0f8l9c): France, officially the French Republic, is a sovereign state com...g and paving the way for a future centralized absolute monarchy., has type Country
2. Political system of France, also known as France (fb:m.02wxh): has type Radio station owner
3. Francia, also known as France, No necesitamos a nadie, França, El caso de los anónimos (fb:m.0k976sv): Francia is a 2009 Argentina film directed by Uruguayan Adrián Caetano, starring Natalia Oreiro., has type Film
4. France (fb:m.0fr7f6): The France Pavilion is part of the World Showcase within Epcot a...ts location is between the Morocco and United Kingdom pavilions., has type Amusement Park Area
5. France (fb:m.0g1bpbr): has type Consumer product
6. France (fb:m.0353tw0): has type Consumer product
7. France (fb:m.092xjlb): has type Book Edition
8. France (fb:m.0_kwnk): has type Musical Recording
9. France (fb:m.035y49y): has type Musical Release
10. France (fb:m.07v7b54): has type Book Edition

[Assistant] I found the entity for France as fb:m.0f8l9c which is a country. Now I will search for properties related to religion or popular religions for this entity. I will start by searching for properties of France related to religion.

[Tool]
Top 10 property alternatives:
1. Religions (fb:location.statistical_region.religions): links to type Religion percentage, part of Statistical region schema
2. Flag (fb:symbols.flag_referent.flag): part of Flag referent schema, links to type Flag use
3. Titles (fb:media_common.netflix_genre.titles): part of Netflix Genre schema, links to type Netflix Title
4. Government (fb:government.governmental_jurisdiction.government): part of Governmental Jurisdiction schema, links to type Government
5. Population (fb:location.statistical_region.population): part of Statistical region schema, links to type Dated Integer
6. Languages spoken (fb:location.country.languages_spoken): links to type Human Language, part of Country schema
7. Key (fb:type.object.key): part of Object schema, links to type Key
8. Newspapers (fb:periodicals.newspaper_circulation_area.newspapers): part of Newspaper circulation area schema, links to type Newspaper
9. Planet (fb:base.locations.countries.planet): part of Countries schema, links to type Planets
10. National anthem (fb:location.country.national_anthem): links to type National anthem of a country, part of Country schema

No other items found

[Assistant]
The property "Religions" (fb:location.statistical_region.religions) is related to religion for the entity France. This property links to a type "Religion percentage" which likely contains information about the popularity of religions in a statistical region like France.

I will now query the religions and their percentages for France using this property.

[Tool] Got no rows and 3 columns

[Assistant]
The query to get religions and their percentages for France returned no results. It seems the property fb:location.statistical_region.religions might not have direct data for France or the structure might be different.

I will try a different approach by listing the objects of the property fb:location.statistical_region.religions for France to see what kind of data is available.

[Tool]
Got 1 row and 3 columns:
| subject              | property                                             | object       |
| -------------------- | ---------------------------------------------------- | ------------ |
| France (fb:m.0f8l9c) | Religions (fb:location.statistical_region.religions) | fb:m.03q9tjt |

[Assistant] There is an object fb:m.03q9tjt linked to France through the property fb:location.statistical_region.religions. I will now list the properties of this object to understand its structure and find the religions and their popularity.

[Tool]
Got 3 rows and 3 columns:
| subject      | property                                            | object                                                |
| ------------ | --------------------------------------------------- | ----------------------------------------------------- |
| fb:m.03q9tjt | Type (fb:type.object.type)                          | Religion percentage (fb:location.religion_percentage) |
| fb:m.03q9tjt | Religion (fb:location.religion_percentage.religion) | Catholicism (fb:m.0c8wxp)                             |
| fb:m.03q9tjt | rdf:type                                            | Religion percentage (fb:location.religion_percentage) |

[Assistant]
The object fb:m.03q9tjt is of type "Religion percentage" and has a property "Religion" with the value "Catholicism" (fb:m.0c8wxp). This indicates that this object represents a religion percentage for Catholicism in France.

I will now try to find other religion percentages related to fb:m.03q9tjt or similar objects to get a list of popular religions in France. I will search for other religion percentages related to France.

[Tool]
Got 99 rows and 3 columns, showing the first 10 rows below:
| subject       | property                                            | object                    |
| ------------- | --------------------------------------------------- | ------------------------- |
| fb:m.0113rxqw | Religion (fb:location.religion_percentage.religion) | Catholicism (fb:m.0c8wxp) |
| fb:m.011c46rg | Religion (fb:location.religion_percentage.religion) | Catholicism (fb:m.0c8wxp) |
| fb:m.01228p56 | Religion (fb:location.religion_percentage.religion) | Catholicism (fb:m.0c8wxp) |
| fb:m.02_75sg  | Religion (fb:location.religion_percentage.religion) | Catholicism (fb:m.0c8wxp) |
| fb:m.02_9m7m  | Religion (fb:location.religion_percentage.religion) | Catholicism (fb:m.0c8wxp) |
| fb:m.02_b4mt  | Religion (fb:location.religion_percentage.religion) | Catholicism (fb:m.0c8wxp) |
| fb:m.03h9bhj  | Religion (fb:location.religion_percentage.religion) | Catholicism (fb:m.0c8wxp) |
| fb:m.03q9tjt  | Religion (fb:location.religion_percentage.religion) | Catholicism (fb:m.0c8wxp) |
| fb:m.03xdznt  | Religion (fb:location.religion_percentage.religion) | Catholicism (fb:m.0c8wxp) |
| fb:m.04403kt  | Religion (fb:location.religion_percentage.religion) | Catholicism (fb:m.0c8wxp) |
| ...           | ...                                                 | ...                       |

[Assistant] There are many religion percentage objects related to Catholicism, but I need to find those related to France specifically. I will now try to find religion percentages related to France by querying for objects linked to France through the property fb:location.statistical_region.religions and then get the religions and their percentages from those objects.

[Tool] Got no rows and 3 columns

[Assistant]
The query to get religions and their percentages for France using fb:location.religion_percentage.percentage returned no results. It seems the percentage data might not be available or structured differently.

I will try to find popular religions in France by searching for entities related to "popular religions in France" or "religions in France" to see if there is a direct entity or list.

[Tool]
Top 10 entity alternatives:
1. The Popular Front in France (fb:m.06c6f60): has type Book
2. Secular religions in France, 1815-1870 (fb:m.06fsv27): has type Book
3. The Popular Front in France (fb:m.06dlh47): has type Book
4. Popular culture in modern France (fb:m.0c3jj6k): has type Book
5. Popular music in contemporary France (fb:m.0c4fypc): has type Book
6. The popular-theater movement in France (fb:m.0bhnzfj): has type Book
7. The Popular Front in France: defending democracy, 1934-38 (fb:m.08w_23w): has type Book Edition
8. Popular culture and elite culture in France, 1400-1750 (fb:m.08dtgxw): has type Book Edition
9. New Zealand's "mainstream" religions declining in popularity (fb:m.0286mn9): In New Zealand, just under half of the population at the 2013 Ne...on religion in the 2013 Census claimed no religious affiliation., Membership in "mainstream" religions did not keep pace with grow...lim, Assemblies of God), Baptist, Latter-day Saints and New Age.
10. 'Popular religion' in 17th & 18th century France (fb:m.06t35b6): has type Book

[Assistant]
There are no direct entities for popular religions in France. I will try a different approach by searching for religions in general and then filtering those that are linked to France or have a significant presence in France.

I will search for the entity "Religion" and then try to find instances or popular religions in France.

[Tool]
Top 10 entity alternatives:
1. Religion (fb:m.06bvp): A religion is an organized collection of beliefs, cultural syste... from private belief in that it is "something eminently social"., has type TV Genre
2. Religion (fb:religion.religion)
3. Socinianism, also known as Religion (fb:m.017l18): Socinianism is a system of Christian doctrine named for Fausto S...ology but contains a number of other unorthodox beliefs as well.
4. Religion (fb:m.02knxy9): According to Wikipedia: "A religion is a set of beliefs and prac...type. Detailed descriptions of the properties can be found here.
5. Religion (fb:m.03bty54): has type Broadcast Genre
6. Religion (fb:m.02knxx_): Welcome to the Religion commons!This is a place to store informa...r suggestions, feel free to post them to the discussion threads.
7. Religion (fb:m.0bnzw9r)
8. Religion (fb:m.01lcz0y): has type Consumer product
9. Religion, also known as Shukyo (fb:m.014t3yl): has type Musical Recording
10. Religion (fb:m.032ywc8): has type Consumer product

[Assistant]
The entity for Religion is fb:religion.religion. I will now try to find religions that are linked to France or have some statistical data related to France.

I will query for religions that have a statistical region or country related to France.

[Tool]
Got 20 rows and 2 columns, showing the first 5 and last 5 rows below:
| religion                                                                 | religionLabel                                               |
| ------------------------------------------------------------------------ | ----------------------------------------------------------- |
| Iglesia Christiana Trinitaria (fb:g.11b8cg1zq0)                          | Iglesia Christiana Trinitaria (en)                          |
| Lutheran Synod of South Carolina (fb:g.11bc1522f1)                       | Lutheran Synod of South Carolina (en)                       |
| John Theologian Orthodox Church (fb:g.11bc158h06)                        | John Theologian Orthodox Church (en)                        |
| Reformed Presbytery (fb:g.11bc15f314)                                    | Reformed Presbytery (en)                                    |
| Current: None Former: Cornerstone Christian Fellowship (fb:g.11bc15x73t) | Current: None Former: Cornerstone Christian Fellowship (en) |
| ...                                                                      | ...                                                         |
| Bugbrooke Jesus Fellowship (fb:g.11by3h_srk)                             | Bugbrooke Jesus Fellowship (en)                             |
| Mater Ecclesiae Cathedral (fb:g.11by3j1198)                              | Mater Ecclesiae Cathedral (en)                              |
| Adventure Christian Church (fb:g.11byb2t52p)                             | Adventure Christian Church (en)                             |
| Los Cinco Señores (fb:g.11byb2ykpc)                                      | Los Cinco Señores (en)                                      |
| Universalist-Unitarian (fb:g.11byb542j0)                                 | Universalist-Unitarian (en)                                 |

[Assistant]
I found a list of religions but they are not filtered by France or popularity. I will now try to find religions popular in France by querying for religion percentages linked to France and retrieve the religion and percentage values.

I will try a more general query to find religion percentages linked to France.

[Tool] Got no rows and 3 columns

[Assistant]
The query to find religion percentages linked to France using the country code "FR" returned no results. It seems the data might not be structured with the country code or the property fb:location.statistical_region is not used this way.

I will try to find religion percentages by searching for statistical regions related to France and then get the religions and percentages from those regions.

[Tool] Got no rows and 3 columns

[Assistant]
There are no statistical regions linked to France using the property fb:location.statistical_region.country. This means the data might not be organized with statistical regions linked to France in this way.

Given the difficulty in finding structured data on popular religions in France in the knowledge graph, I will provide a best-effort answer based on the available data that France has a religion percentage object linked to Catholicism. I will finalize the answer with this information.

[Tool] Stopped generation process


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

Got 2 rows and 2 columns:
| causeOfDeath                    | causeOfDeathLabel      |
| ------------------------------- | ---------------------- |
| Pancreatic cancer (fb:m.01_qc_) | Pancreatic cancer (en) |
| heart attack (fb:m.0gk4g)       | heart attack (en)      |

Joan Crawford died of pancreatic cancer and a heart attack.

[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 joan crawford died of?

[Assistant]
To answer the question "What did Joan Crawford die of?", I need to find the entity for Joan Crawford in the Freebase knowledge graph and then look for properties related to cause of death or similar.

Step 1: Search for the entity "Joan Crawford" in Freebase.

[Tool]
Top 10 entity alternatives:
1. Joan Crawford, also known as Lucille Fay LeSueur, Lucille Le Sueur, Cranberry, Billie Cassin, Billie (fb:m.0cgbf): Joan Crawford was an American film and television actress who st...ancy on the board of directors but was forcibly retired in 1973., has type Film actor
2. Joan Crawford (fb:m.0c8xqt): Joan Crawford is a former basketball player and member of the Na...asketball Hall of Fame, and Amateur Athletic Union Hall of Fame., has type Hall of fame inductee
3. Joan Crawford (fb:m.0n4jvx)
4. Joan Crawford (fb:m.012p34l): has type Musical Recording
5. Joan Crawford (fb:m.04wgxyw): has type Book
6. Joan Crawford (fb:m.011kkxp6): has type Musical Recording
7. Joan Crawford (fb:m.07ldk8v): has type TV Episode
8. Joan Crawford (fb:m.06yfv88): has type TV Episode
9. Joan Crawford (fb:m.0qjllc): has type Musical Recording
10. Joan Crawford (fb:m.0pbrr9): has type Musical Recording

[Assistant] The most relevant entity for Joan Crawford as an American film and television actress is fb:m.0cgbf. Next, I will search for properties related to cause of death for this entity. I will search for properties of Joan Crawford (fb:m.0cgbf) related to death or cause.

[Tool]
Top 10 property alternatives:
1. Cause of death (fb:people.deceased_person.cause_of_death): part of Deceased Person schema, links to type Cause Of Death
2. Place of death (fb:people.deceased_person.place_of_death): part of Deceased Person schema, links to type Location
3. Date of death (fb:people.deceased_person.date_of_death): part of Deceased Person schema, links to type Date/Time
4. Place of burial (fb:people.deceased_person.place_of_burial): links to type Place of interment, part of Deceased Person schema
5. Condition (fb:medicine.notable_person_with_medical_condition.condition): part of Public figure with medical condition schema, links to type Disease or medical condition
6. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
7. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
8. Religion (fb:people.person.religion): links to type Religion, part of Person schema
9. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
10. Gender (fb:people.person.gender): part of Person schema, links to type Gender

No other items found

[Assistant] The property "Cause of death" (fb:people.deceased_person.cause_of_death) is available for the entity Joan Crawford (fb:m.0cgbf). I will now query the cause of death for Joan Crawford using this property.

[Tool]
Got 2 rows and 2 columns:
| causeOfDeath                    | causeOfDeathLabel      |
| ------------------------------- | ---------------------- |
| Pancreatic cancer (fb:m.01_qc_) | Pancreatic cancer (en) |
| heart attack (fb:m.0gk4g)       | heart attack (en)      |

[Assistant] Joan Crawford died of pancreatic cancer and a heart attack. I will now provide the final answer with this information.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?school ?schoolLabel WHERE {
  fb:m.04jg1kh fb:people.person.education ?education .
  ?education fb:education.education.institution ?school .
  OPTIONAL {
    ?school rdfs:label ?schoolLabel .
    FILTER ( LANG( ?schoolLabel ) = "en" )
  }
}

Got 3 rows and 2 columns:
| school                                   | schoolLabel                     |
| ---------------------------------------- | ------------------------------- |
| Juneau-Douglas High School (fb:m.02fqd7) | Juneau-Douglas High School (en) |
| Wasilla High School (fb:m.04jdv0r)       | Wasilla High School (en)        |
| West Anchorage High School (fb:m.08r1_d) | West Anchorage High School (en) |

Bristol Palin attended Wasilla High School, West Anchorage High School, and Juneau-Douglas High School.

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

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

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

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

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

[User] where did bristol palin go to school?

[Assistant] To answer the question "Where did Bristol Palin go to school?" I will first search for the entity "Bristol Palin" in the Freebase knowledge graph to get her identifier. Then I will look for properties related to education or school attended for this entity.

[Tool]
Top 10 entity alternatives:
1. Bristol Palin, also known as Bristol Sheeran Marie Palin (fb:m.04jg1kh): Bristol Sheeran Marie Palin is an American public speaker and re...son, where she was eliminated in the fourth week of competition., has type TV Personality
2. Bristol Palin (fb:m.0j47m1j): Bristol Palin is a fictional character from Who's Nailin' Palin? 2., has type Film character
3. Bristol Palin Dancing (fb:m.0nn5g58): has type Musical Recording
4. Bristol Palin headshot (fb:m.0dhbj7w)
5. Bristol Palin Dancing (fb:m.0q8zlqj)
6. Bristol Palin: Life's a Tripp (fb:m.0jzx723): With never-before-granted access to Bristol’s real-life experien...single-handedly writes the next chapter in her and Tripp’s life., Bristol Palin: Life's a Tripp is an American Reality-documentary...evision series on Lifetime. The series debuted on June 19, 2012., has type TV Program
7. Don Rickles, Bristol Palin, Colbie Caillat (fb:m.0kc3w_p): has type TV Episode
8. Bristol Palin at Single Source Speakers (fb:m.0crksk0)
9. Bristol, also known as Bristol, UK, City Of Bristol (fb:m.095l0): Bristol is a city, unitary authority and county in South West En...prosperity has been linked with the sea since its earliest days., has type English unitary authority
10. Bristol, also known as Bristol city, Bristol city / Bristol city, Bristol, Virginia (fb:m.0mp4w): Bristol is an independent city in the U.S. state of Virginia. As...ed Statistical Area – commonly known as the "Tri-Cities" region., has type US County

[Assistant] I found two main entities for "Bristol Palin": one is a TV personality (fb:m.04jg1kh) and the other is a fictional character (fb:m.0j47m1j). The first one (fb:m.04jg1kh) matches the real person Bristol Palin. I will now search for properties related to education or school attended for this entity.

[Tool]
Top 10 property alternatives:
1. Education (fb:people.person.education): links to type Education, part of Person schema
2. Key (fb:type.object.key): part of Object schema, links to type Key
3. Description (fb:common.topic.description): part of Topic schema, links to type Text
4. Children (fb:people.person.children): part of Person schema, links to type Person
5. Name (fb:type.object.name): part of Object schema, links to type Text
6. Gender (fb:people.person.gender): part of Person schema, links to type Gender
7. Type (fb:type.object.type): part of Object schema, links to type Type
8. Article (fb:common.topic.article): links to type Document, part of Topic schema
9. Profession (fb:people.person.profession): links to type Profession, part of Person schema
10. Image (fb:common.topic.image): part of Topic schema, links to type Image

No other items found

[Assistant] The property "Education" (fb:people.person.education) seems to be the relevant property for finding the school Bristol Palin attended. I will now query the education information for Bristol Palin using this property.

[Tool]
Got 3 rows and 2 columns:
| education    | educationLabel |
| ------------ | -------------- |
| fb:m.0byl4zl |                |
| fb:m.0cpk4bl |                |
| fb:m.0cpkbwp |                |

[Assistant] Bristol Palin has three education entries in the knowledge graph, but they do not have English labels directly available. I will now try to get more information or labels for these education entities to identify the schools.

[Tool]
Got 3 rows and 2 columns:
| education    | educationLabel |
| ------------ | -------------- |
| fb:m.0byl4zl |                |
| fb:m.0cpk4bl |                |
| fb:m.0cpkbwp |                |

[Assistant] The education entities for Bristol Palin do not have English labels available. I will try to get more descriptive properties such as "name" or "description" for these education entities to identify the schools.

[Tool]
Got 3 rows and 3 columns:
| education    | name | description |
| ------------ | ---- | ----------- |
| fb:m.0byl4zl |      |             |
| fb:m.0cpk4bl |      |             |
| fb:m.0cpkbwp |      |             |

[Assistant] The education entities linked to Bristol Palin do not have names or descriptions available in English. I will try to find other properties or related entities that might give a clue about the schools she attended. I will list all properties of one of these education entities to see if there is any useful information.

[Tool]
Got 4 rows and 3 columns:
| subject      | property                                         | object                             |
| ------------ | ------------------------------------------------ | ---------------------------------- |
| fb:m.0byl4zl | Type (fb:type.object.type)                       | Education (fb:education.education) |
| fb:m.0byl4zl | Institution (fb:education.education.institution) | Wasilla High School (fb:m.04jdv0r) |
| fb:m.0byl4zl | Student (fb:education.education.student)         | Bristol Palin (fb:m.04jg1kh)       |
| fb:m.0byl4zl | rdf:type                                         | Education (fb:education.education) |

[Assistant] One of the education entities (fb:m.0byl4zl) is linked to an institution called "Wasilla High School" (fb:m.04jdv0r). This indicates that Bristol Palin attended Wasilla High School. I will now check if the other education entities also link to institutions to get a complete answer.

[Tool]
Got 4 rows and 3 columns:
| subject      | property                                         | object                                   |
| ------------ | ------------------------------------------------ | ---------------------------------------- |
| fb:m.0cpk4bl | Type (fb:type.object.type)                       | Education (fb:education.education)       |
| fb:m.0cpk4bl | Institution (fb:education.education.institution) | West Anchorage High School (fb:m.08r1_d) |
| fb:m.0cpk4bl | Student (fb:education.education.student)         | Bristol Palin (fb:m.04jg1kh)             |
| fb:m.0cpk4bl | rdf:type                                         | Education (fb:education.education)       |

[Tool]
Got 4 rows and 3 columns:
| subject      | property                                         | object                                   |
| ------------ | ------------------------------------------------ | ---------------------------------------- |
| fb:m.0cpkbwp | Type (fb:type.object.type)                       | Education (fb:education.education)       |
| fb:m.0cpkbwp | Institution (fb:education.education.institution) | Juneau-Douglas High School (fb:m.02fqd7) |
| fb:m.0cpkbwp | Student (fb:education.education.student)         | Bristol Palin (fb:m.04jg1kh)             |
| fb:m.0cpkbwp | rdf:type                                         | Education (fb:education.education)       |

[Assistant]
Bristol Palin attended three schools according to the education entities:
1. Wasilla High School (fb:m.04jdv0r)
2. West Anchorage High School (fb:m.08r1_d)
3. Juneau-Douglas High School (fb:m.02fqd7)

I will now prepare the final SPARQL query to retrieve these schools with their labels and provide the answer.

[Tool] Stopped generation process