PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?state WHERE {
  VALUES ?person {
    fb:m.03_js
  }
  {
    ?person fb:people.person.places_lived ?pl .
    ?pl fb:people.place_lived.location ?loc .
  } UNION {
    ?person fb:people.person.place_of_birth ?loc .
  }
  {
    ?loc fb:location.administrative_division.first_level_division_of fb:m.09c7w0 .
    BIND( ?loc AS ?state )
  } UNION {
    ?loc fb:location.location.containedby ?state .
    ?state fb:location.administrative_division.first_level_division_of fb:m.09c7w0 .
  }
}

The state John Adams lived in was 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 http://galera:7002

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]
Let's break down the question:

1. The entity is "John Adams" (the second President of the United States).
2. The property is "state lived in" or "residence" or "place of residence".

First, I will search for "John Adams" in Freebase to find the correct entity.

[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 correct entity for John Adams, the second president of the United States, is fb:m.03_js.

Next, I need to find the property related to "state lived in" or "residence" for this entity. I'll search for properties related to "residence" for John Adams.

[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) is the most relevant for determining what state John Adams lived in.

Next, I will list the values for this property for John Adams (fb:m.03_js) to see what places are recorded.

[Tool]
Got 2 rows and 3 columns:
| subject                 | property                                     | object       |
| ----------------------- | -------------------------------------------- | ------------ |
| John Adams (fb:m.03_js) | Places lived (fb:people.person.places_lived) | fb:m.03pvpw8 |
| John Adams (fb:m.03_js) | Places lived (fb:people.person.places_lived) | fb:m.04hdf4v |

[Assistant]
John Adams has two "places lived" entries: fb:m.03pvpw8 and fb:m.04hdf4v. I need to determine what these places are and which states they are located in.

First, I'll get the labels for these two entities to identify them.

[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) |

[Tool]
Got 679 rows and 3 columns, showing the first 10 rows below:
| subject                 | property                                                            | object                                                                   |
| ----------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Braintree (fb:m.01cj4g) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Braintree (fb:m.01cj4g) | Key (fb:type.object.key)                                            | /base/dspl/us_bls/unemployment/city/CT2507740000000                      |
| Braintree (fb:m.01cj4g) | Name (fb:type.object.name)                                          | Braintree (ca)                                                           |
| Braintree (fb:m.01cj4g) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%28%31%4A%46%2A%31%4A>                     |
| Braintree (fb:m.01cj4g) | Notable for (fb:common.topic.notable_for)                           | fb:g.125gbgzp9                                                           |
| Braintree (fb:m.01cj4g) | Notable types (fb:common.topic.notable_types)                       | City/Town/Village (fb:m.01m9)                                            |
| Braintree (fb:m.01cj4g) | Description (fb:common.topic.description)                           | Braintree är en by vid Penn's hi...som rör Braintree.Bilder & media (sv) |
| Braintree (fb:m.01cj4g) | Article (fb:common.topic.article)                                   | fb:m.01cj4m                                                              |
| Braintree (fb:m.01cj4g) | Also known as (fb:common.topic.alias)                               | Braintree, Massachusetts (en)                                            |
| Braintree (fb:m.01cj4g) | Contained by (fb:location.location.containedby)                     | United States of America (fb:m.09c7w0)                                   |
| ...                     | ...                                                                 | ...                                                                      |

[Tool]
Got 3 rows and 3 columns:
| subject                 | property                                        | object                                 |
| ----------------------- | ----------------------------------------------- | -------------------------------------- |
| Braintree (fb:m.01cj4g) | Contained by (fb:location.location.containedby) | United States of America (fb:m.09c7w0) |
| Braintree (fb:m.01cj4g) | Contained by (fb:location.location.containedby) | Massachusetts (fb:m.05k7sb)            |
| Braintree (fb:m.01cj4g) | Contained by (fb:location.location.containedby) | Norfolk County (fb:m.0k3kg)            |

[Tool]
Got 9,417 rows and 3 columns, showing the first 10 rows below:
| subject                     | property                                                            | object                                                                    |
| --------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------- |
| Massachusetts (fb:m.05k7sb) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                   |
| Massachusetts (fb:m.05k7sb) | Key (fb:type.object.key)                                            | /authority/daylife/topic/010EbcK7T4arK                                    |
| Massachusetts (fb:m.05k7sb) | Name (fb:type.object.name)                                          | Masaĉuseco (eo)                                                           |
| Massachusetts (fb:m.05k7sb) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%45%27%33%27%2A%34%48%33%2A%33>             |
| Massachusetts (fb:m.05k7sb) | Notable for (fb:common.topic.notable_for)                           | fb:g.125fprdfr                                                            |
| Massachusetts (fb:m.05k7sb) | Notable types (fb:common.topic.notable_types)                       | US State (fb:m.0kpys4)                                                    |
| Massachusetts (fb:m.05k7sb) | Description (fb:common.topic.description)                           | Ang Komonwelt ng Massachusetts o... isang estado ng Estados Unidos. (fil) |
| Massachusetts (fb:m.05k7sb) | Article (fb:common.topic.article)                                   | fb:m.05k7sn                                                               |
| Massachusetts (fb:m.05k7sb) | Also known as (fb:common.topic.alias)                               | Bay State (en)                                                            |
| Massachusetts (fb:m.05k7sb) | Contained by (fb:location.location.containedby)                     | United States of America (fb:m.09c7w0)                                    |
| ...                         | ...                                                                 | ...                                                                       |

[Assistant]
Both places associated with John Adams' "places lived" property are in Massachusetts:

- One is directly listed as Massachusetts (fb:m.05k7sb).
- The other is Braintree (fb:m.01cj4g), which is contained within Massachusetts.

Therefore, the state John Adams lived in was Massachusetts.

Now, I will write a SPARQL query that returns the state(s) John Adams lived in, using the relevant properties and entities.

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The SPARQL query did not return any results, indicating that either the data is missing or the query structure does not match the data in Freebase. The answer provided ('John Adams lived in Massachusetts') is not supported by the query result. Please review the properties and structure used to retrieve the state where John Adams lived. Consider checking for alternative properties or paths in the knowledge graph that might link John Adams to Massachusetts or other states, such as birthplace, residence, or other relevant properties. The answer should be based solely on the SPARQL query result.

[Assistant]
Thank you for the feedback. The previous query assumed that the "places lived" location would always be linked to a US state via the "contained by" property and that the state would have the type "US State" (fb:m.0kpys4). However, the data structure may be different, or the state may be directly listed as the location.

Let's take a step-by-step approach:

1. From earlier, we saw that John Adams's "places lived" locations are:
   - Massachusetts (fb:m.05k7sb)
   - Braintree (fb:m.01cj4g), which is contained by Massachusetts

To ensure we capture both direct and indirect links, let's:
- Get the locations for John Adams's "places lived"
- For each location, check if it is a US state, or if it is contained by a US state

First, let's check the type of "Massachusetts" (fb:m.05k7sb) and "Braintree" (fb:m.01cj4g) to see if either is directly typed as a US state.

[Tool]
Got 46 rows and 3 columns, showing the first 10 rows below:
| subject                     | property                   | object                                                        |
| --------------------------- | -------------------------- | ------------------------------------------------------------- |
| Massachusetts (fb:m.05k7sb) | Type (fb:type.object.type) | Topic (fb:common.topic)                                       |
| Massachusetts (fb:m.05k7sb) | Type (fb:type.object.type) | Abstract (fb:base.type_ontology.abstract)                     |
| Massachusetts (fb:m.05k7sb) | Type (fb:type.object.type) | Inanimate (fb:base.type_ontology.inanimate)                   |
| Massachusetts (fb:m.05k7sb) | Type (fb:type.object.type) | Agent (fb:base.type_ontology.agent)                           |
| Massachusetts (fb:m.05k7sb) | Type (fb:type.object.type) | Location (fb:location.location)                               |
| Massachusetts (fb:m.05k7sb) | Type (fb:type.object.type) | Statistical region (fb:location.statistical_region)           |
| Massachusetts (fb:m.05k7sb) | Type (fb:type.object.type) | Dated location (fb:location.dated_location)                   |
| Massachusetts (fb:m.05k7sb) | Type (fb:type.object.type) | Employer (fb:business.employer)                               |
| Massachusetts (fb:m.05k7sb) | Type (fb:type.object.type) | Administrative Division (fb:location.administrative_division) |
| Massachusetts (fb:m.05k7sb) | Type (fb:type.object.type) | Organization Location (fb:business.business_location)         |
| ...                         | ...                        | ...                                                           |

[Tool]
Got 9 rows and 3 columns:
| subject                 | property                   | object                                              |
| ----------------------- | -------------------------- | --------------------------------------------------- |
| Braintree (fb:m.01cj4g) | Type (fb:type.object.type) | Topic (fb:common.topic)                             |
| Braintree (fb:m.01cj4g) | Type (fb:type.object.type) | Abstract (fb:base.type_ontology.abstract)           |
| Braintree (fb:m.01cj4g) | Type (fb:type.object.type) | Inanimate (fb:base.type_ontology.inanimate)         |
| Braintree (fb:m.01cj4g) | Type (fb:type.object.type) | Agent (fb:base.type_ontology.agent)                 |
| Braintree (fb:m.01cj4g) | Type (fb:type.object.type) | Location (fb:location.location)                     |
| Braintree (fb:m.01cj4g) | Type (fb:type.object.type) | Statistical region (fb:location.statistical_region) |
| Braintree (fb:m.01cj4g) | Type (fb:type.object.type) | Dated location (fb:location.dated_location)         |
| Braintree (fb:m.01cj4g) | Type (fb:type.object.type) | City/Town/Village (fb:location.citytown)            |
| Braintree (fb:m.01cj4g) | Type (fb:type.object.type) | Settlement (fb:base.wikipedia_infobox.settlement)   |

[Tool]
Got 42 rows and 3 columns, showing the first 10 rows below:
| subject                     | property   | object             |
| --------------------------- | ---------- | ------------------ |
| Massachusetts (fb:m.05k7sb) | rdfs:label | Masaĉuseco (eo)    |
| Massachusetts (fb:m.05k7sb) | rdfs:label | Masačūsetsa (lv)   |
| Massachusetts (fb:m.05k7sb) | rdfs:label | Masačusetsas (lt)  |
| Massachusetts (fb:m.05k7sb) | rdfs:label | Massachusetts (ca) |
| Massachusetts (fb:m.05k7sb) | rdfs:label | Massachusetts (cs) |
| Massachusetts (fb:m.05k7sb) | rdfs:label | Massachusetts (da) |
| Massachusetts (fb:m.05k7sb) | rdfs:label | Massachusetts (de) |
| Massachusetts (fb:m.05k7sb) | rdfs:label | Massachusetts (en) |
| Massachusetts (fb:m.05k7sb) | rdfs:label | Massachusetts (es) |
| Massachusetts (fb:m.05k7sb) | rdfs:label | Massachusetts (et) |
| ...                         | ...        | ...                |

[Tool]
Got 23 rows and 3 columns, showing the first 10 rows below:
| subject                 | property   | object         |
| ----------------------- | ---------- | -------------- |
| Braintree (fb:m.01cj4g) | rdfs:label | Braintree (ca) |
| Braintree (fb:m.01cj4g) | rdfs:label | Braintree (de) |
| Braintree (fb:m.01cj4g) | rdfs:label | Braintree (en) |
| Braintree (fb:m.01cj4g) | rdfs:label | Braintree (es) |
| Braintree (fb:m.01cj4g) | rdfs:label | Braintree (fi) |
| Braintree (fb:m.01cj4g) | rdfs:label | Braintree (fr) |
| Braintree (fb:m.01cj4g) | rdfs:label | Braintree (it) |
| Braintree (fb:m.01cj4g) | rdfs:label | Braintree (nl) |
| Braintree (fb:m.01cj4g) | rdfs:label | Braintree (no) |
| Braintree (fb:m.01cj4g) | rdfs:label | Braintree (pl) |
| ...                     | ...        | ...            |

[Tool]
Got 1,167 rows and 3 columns, showing the first 10 rows below:
| subject                                   | property                                                                              | object                                 |
| ----------------------------------------- | ------------------------------------------------------------------------------------- | -------------------------------------- |
| Colorado (fb:m.01n4w)                     | First level division of (fb:location.administrative_division.first_level_division_of) | United States of America (fb:m.09c7w0) |
| Emilia-Romagna (fb:m.015m08)              | First level division of (fb:location.administrative_division.first_level_division_of) | Italy (fb:m.03rjj)                     |
| England (fb:m.02jx1)                      | First level division of (fb:location.administrative_division.first_level_division_of) | United Kingdom (fb:m.07ssc)            |
| Sikkim (fb:m.011hq1)                      | First level division of (fb:location.administrative_division.first_level_division_of) | India (fb:m.03rk0)                     |
| Bremen (fb:m.014rd8)                      | First level division of (fb:location.administrative_division.first_level_division_of) | Germany (fb:m.0345h)                   |
| West Pomeranian Voivodeship (fb:m.018xnc) | First level division of (fb:location.administrative_division.first_level_division_of) | Poland (fb:m.05qhw)                    |
| Andalusia (fb:m.010sh)                    | First level division of (fb:location.administrative_division.first_level_division_of) | Spain (fb:m.06mkj)                     |
| British Columbia (fb:m.015jr)             | First level division of (fb:location.administrative_division.first_level_division_of) | Canada (fb:m.0d060g)                   |
| Neamț County (fb:m.01bppy)                | First level division of (fb:location.administrative_division.first_level_division_of) | Romania (fb:m.06c1y)                   |
| Pays de la Loire (fb:m.01c6_f)            | First level division of (fb:location.administrative_division.first_level_division_of) | France (fb:m.0f8l9c)                   |
| ...                                       | ...                                                                                | ...                                    |

[Tool]
Got 1 row and 3 columns:
| subject                     | property                                                                              | object                                 |
| --------------------------- | ------------------------------------------------------------------------------------- | -------------------------------------- |
| Massachusetts (fb:m.05k7sb) | First level division of (fb:location.administrative_division.first_level_division_of) | United States of America (fb:m.09c7w0) |

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                             | property                                         | object                                 |
| ----------------------------------- | ------------------------------------------------ | -------------------------------------- |
| fb:g.11b6dz_7sf                     | Place of birth (fb:people.person.place_of_birth) | United States of America (fb:m.09c7w0) |
| Valentina Cernoia (fb:g.11b60gm28t) | Place of birth (fb:people.person.place_of_birth) | Italy (fb:m.03rjj)                     |
| fb:g.119x72kgf                      | Place of birth (fb:people.person.place_of_birth) | United Kingdom (fb:m.07ssc)            |
| fb:g.11c3khp79g                     | Place of birth (fb:people.person.place_of_birth) | India (fb:m.03rk0)                     |
| fb:g.119pg346z                      | Place of birth (fb:people.person.place_of_birth) | Germany (fb:m.0345h)                   |
| fb:g.112ygc234                      | Place of birth (fb:people.person.place_of_birth) | New York City (fb:m.02_286)            |
| fb:g.112yfv5v0                      | Place of birth (fb:people.person.place_of_birth) | Japan (fb:m.03_3d)                     |
| fb:g.112ygbpmy                      | Place of birth (fb:people.person.place_of_birth) | Poland (fb:m.05qhw)                    |
| Joe Pearson (fb:g.112yfd67k)        | Place of birth (fb:people.person.place_of_birth) | California (fb:m.01n7q)                |
| Frederick Ko Vert (fb:g.120sd5f9)   | Place of birth (fb:people.person.place_of_birth) | Pennsylvania (fb:m.05tbn)              |
| ...                                 | ...                                              | ...                                    |

[Tool]
Got 1 row and 3 columns:
| subject                 | property                                         | object                  |
| ----------------------- | ------------------------------------------------ | ----------------------- |
| John Adams (fb:m.03_js) | Place of birth (fb:people.person.place_of_birth) | Braintree (fb:m.01cj4g) |

[Assistant]
Based on the data, John Adams's "places lived" and "place of birth" are both Braintree (fb:m.01cj4g), which is contained by Massachusetts (fb:m.05k7sb), and Massachusetts is a first-level division of the United States.

To robustly answer the question, I will write a query that:
- Gets all locations from John Adams's "places lived" and "place of birth"
- For each location, checks if it is a US state, or finds the containing US state

This way, we capture both direct and indirect links to the state.

Here is the improved SPARQL query:

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the state John Adams lived in by considering both his places lived and place of birth, and ensures the result is a first-level administrative division (state) of the United States. The query returns the correct IRI for Massachusetts, and the answer matches the expected result. No further refinement is needed.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?parent ?parentLabel ?birthplace ?birthplaceLabel WHERE {
  fb:m.0271_s fb:people.person.parents ?parent .
  OPTIONAL {
    ?parent rdfs:label ?parentLabel .
    FILTER ( lang( ?parentLabel ) = 'en' )
  }
  ?parent fb:people.person.place_of_birth ?birthplace .
  OPTIONAL {
    ?birthplace rdfs:label ?birthplaceLabel .
    FILTER ( lang( ?birthplaceLabel ) = 'en' )
  }
}

Got 2 rows and 4 columns:
| parent                         | parentLabel           | birthplace                   | birthplaceLabel     |
| ------------------------------ | --------------------- | ---------------------------- | ------------------- |
| Lenore Romney (fb:m.0c7vl1)    | Lenore Romney (en)    | Logan (fb:m.010dft)          | Logan (en)          |
| George W. Romney (fb:m.01v6nf) | George W. Romney (en) | Colonia Dublán (fb:m.0fwy6w) | Colonia Dublán (en) |

Mitt Romney's family is from Colonia Dublán, Mexico (his father George W. Romney) and Logan, United States (his mother Lenore Romney).

[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 http://galera:7002

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]
Let's break down the question:

1. The main entity is "Mitt Romney".
2. The property of interest is the origin or place of Mitt Romney's family.

First, I need to identify the entity for "Mitt Romney" in Freebase. Then, I need to look for properties related to "family" and "origin" or "place of origin".

I'll start by searching for "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 politician.

Next, I need to find properties related to "family" and "origin" or "place of origin" for this entity. I'll start by searching for properties related to "family" for Mitt Romney.

[Tool]
Top 10 property alternatives:
1. Siblings (fb:people.person.sibling_s): links to type Sibling Relationship, part of Person schema
2. Parents (fb:people.person.parents): part of Person schema, links to type Person
3. Children (fb:people.person.children): part of Person schema, links to type Person
4. Religion (fb:people.person.religion): links to type Religion, part of Person schema
5. Party (fb:government.politician.party): links to type Political Party Tenure, part of Politician schema
6. Spouse (or domestic partner) (fb:people.person.spouse_s): links to type Marriage, part of Person schema
7. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
8. Name (fb:type.object.name): part of Object schema, links to type Text
9. Key (fb:type.object.key): part of Object schema, links to type Key
10. Image (fb:common.topic.image): part of Topic schema, links to type Image

No other items found

[Assistant]
The properties related to "family" are siblings, parents, children, and spouse. However, none of these directly indicate the family's place of origin.

Now, I'll search for properties related to "origin" or "place of origin" for Mitt Romney, as this might reveal birthplace, ancestry, or similar information.

[Tool]
Top 10 property alternatives:
1. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
2. Type (fb:type.object.type): part of Object schema, links to type Type
3. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
4. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
5. Named after (fb:symbols.namesake.named_after): links to type Name source, part of Namesake schema
6. Name (fb:type.object.name): part of Object schema, links to type Text
7. Official name (fb:base.schemastaging.context_name.official_name): part of Context name schema, links to type Text
8. Image (fb:common.topic.image): part of Topic schema, links to type Image
9. Description (fb:common.topic.description): part of Topic schema, links to type Text
10. Short name (fb:base.schemastaging.context_name.short_name): part of Context name schema, links to type Text

No other items found

[Assistant]
The most relevant properties here are "country of nationality" and "place of birth". However, these refer to Mitt Romney himself, not specifically his family's origin.

Since the question is about Mitt Romney's family's origin, perhaps looking at his parents' or ancestors' place of birth or nationality could provide the answer. I'll retrieve Mitt Romney's parents using the "parents" property and then check their place of birth or nationality.

[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'll look for the place of birth or nationality for each parent, starting with George W. Romney.

[Tool]
Top 10 property alternatives:
1. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
2. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
3. Gender (fb:people.person.gender): part of Person schema, links to type Gender
4. Date of death (fb:people.deceased_person.date_of_death): part of Deceased Person schema, links to type Date/Time
5. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
6. Religion (fb:people.person.religion): links to type Religion, part of Person schema
7. Name (fb:type.object.name): part of Object schema, links to type Text
8. Parents (fb:people.person.parents): part of Person schema, links to type Person
9. Party (fb:government.politician.party): links to type Political Party Tenure, part of Politician schema
10. Profession (fb:people.person.profession): links to type Profession, part of Person schema

No other items found

[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) |

[Tool]
Got 68 rows and 3 columns, showing the first 10 rows below:
| subject                      | property                                                            | object                                                                   |
| ---------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Colonia Dublán (fb:m.0fwy6w) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Colonia Dublán (fb:m.0fwy6w) | Key (fb:type.object.key)                                            | /en/colonia_dublan                                                       |
| Colonia Dublán (fb:m.0fwy6w) | Name (fb:type.object.name)                                          | Colonia Dublán (en)                                                      |
| Colonia Dublán (fb:m.0fwy6w) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://en.wikipedia.org/wiki/Colonia_Dubl%E1n>                          |
| Colonia Dublán (fb:m.0fwy6w) | Notable for (fb:common.topic.notable_for)                           | fb:g.1254zc8ym                                                           |
| Colonia Dublán (fb:m.0fwy6w) | Notable types (fb:common.topic.notable_types)                       | City/Town/Village (fb:m.01m9)                                            |
| Colonia Dublán (fb:m.0fwy6w) | Description (fb:common.topic.description)                           | Colonia Dublán began as a Mormon...iving Mormon colonies in Mexico. (en) |
| Colonia Dublán (fb:m.0fwy6w) | Article (fb:common.topic.article)                                   | fb:m.0fwy70                                                              |
| Colonia Dublán (fb:m.0fwy6w) | Also known as (fb:common.topic.alias)                               | Colonia Dublan, Mexico (en)                                              |
| Colonia Dublán (fb:m.0fwy6w) | Contained by (fb:location.location.containedby)                     | Mexico (fb:m.0b90_r)                                                     |
| ...                          | ...                                                                 | ...                                                                      |

[Assistant]
George W. Romney, Mitt Romney's father, was born in Colonia Dublán (fb:m.0fwy6w), which is in Mexico (fb:m.0b90_r).

Now, I'll check Lenore Romney's place of birth as well.

[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) |

[Tool]
Got 856 rows and 3 columns, showing the first 10 rows below:
| subject             | property                                                            | object                                                                   |
| ------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Logan (fb:m.010dft) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Logan (fb:m.010dft) | Key (fb:type.object.key)                                            | /authority/gnis/1442849                                                  |
| Logan (fb:m.010dft) | Name (fb:type.object.name)                                          | Logan (ca)                                                               |
| Logan (fb:m.010dft) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%44%48%3A%27%46_(%4A%48%2A%27)>            |
| Logan (fb:m.010dft) | Notable for (fb:common.topic.notable_for)                           | fb:g.1256x4lmx                                                           |
| Logan (fb:m.010dft) | Notable types (fb:common.topic.notable_types)                       | City/Town/Village (fb:m.01m9)                                            |
| Logan (fb:m.010dft) | Description (fb:common.topic.description)                           | Die Stadt Logan liegt im Cache C...Logan wird auch Käse produziert. (de) |
| Logan (fb:m.010dft) | Article (fb:common.topic.article)                                   | fb:m.010df_                                                              |
| Logan (fb:m.010dft) | Also known as (fb:common.topic.alias)                               | Cache County / Logan city (en)                                           |
| Logan (fb:m.010dft) | Contained by (fb:location.location.containedby)                     | United States of America (fb:m.09c7w0)                                   |
| ...                 | ...                                                                 | ...                                                                      |

[Assistant]
Lenore Romney, Mitt Romney's mother, was born in Logan (fb:m.010dft), which is in the United States of America (fb:m.09c7w0).

To summarize:
- Mitt Romney's father is from Colonia Dublán, Mexico.
- Mitt Romney's mother is from Logan, United States.

I will now construct a SPARQL query that returns the IRIs for Mitt Romney's parents and their respective places of birth, along with optional labels for clarity.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the parents of Mitt Romney and their respective places of birth, returning the IRIs as required and providing optional labels for human readability. The answer accurately summarizes the results. No further refinement is necessary.


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)                |

Mount Lassen (Lassen Peak) is not directly located within a city according to Freebase. It is contained within Shasta County, California, and Lassen Volcanic National Park.

[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 http://galera:7002

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]
Let's break down the question:

1. The user is asking for the city in which Mt Lassen (Mount Lassen) is located.
2. First, I need to identify the entity for "Mt Lassen" in Freebase.
3. Then, I need to find the property that links a mountain to a city or location.
4. Finally, I'll construct a SPARQL query to retrieve the city.

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

[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]
It appears that none of the top search results directly match "Mount Lassen" as a mountain or volcano. The results are mostly businesses, books, recordings, or other unrelated entities.

To improve the search, I'll try searching for "Mount Lassen" and "Lassen Peak," as the mountain is also known as Lassen Peak.

[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]
The correct entity for Mount Lassen (also known as Lassen Peak) is "Lassen Peak" with the Freebase ID fb:m.01ymq1, and it is of type Mountain.

Next, I need to find a property that links a mountain to a city or location, such as "located in" or "city". I'll search for properties related to "location" for this entity.

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

No other items found

[Assistant]
The most relevant property for finding the city or administrative region where Lassen Peak is located is likely "contained by" (fb:location.location.containedby), which links a location to its containing location (such as a city, county, or park).

To proceed, I'll check what entities Lassen Peak is "contained by" using this property.

[Tool]
Got 6 rows and 3 columns:
| subject                   | property                                        | object                                      |
| ------------------------- | ----------------------------------------------- | ------------------------------------------- |
| Lassen Peak (fb:m.01ymq1) | Contained by (fb:location.location.containedby) | United States of America (fb:m.09c7w0)      |
| Lassen Peak (fb:m.01ymq1) | Contained by (fb:location.location.containedby) | California (fb:m.01n7q)                     |
| Lassen Peak (fb:m.01ymq1) | Contained by (fb:location.location.containedby) | North America (fb:m.059g4)                  |
| Lassen Peak (fb:m.01ymq1) | Contained by (fb:location.location.containedby) | Shasta County (fb:m.0l30v)                  |
| Lassen Peak (fb:m.01ymq1) | Contained by (fb:location.location.containedby) | Cascade Range (fb:m.0k3nk)                  |
| Lassen Peak (fb:m.01ymq1) | Contained by (fb:location.location.containedby) | Lassen Volcanic National Park (fb:m.01ymnm) |

[Assistant]
Lassen Peak is "contained by" several entities, including:
- United States of America
- California
- North America
- Shasta County
- Cascade Range
- Lassen Volcanic National Park

None of these are cities; the closest administrative division is Shasta County. To check if there is a more specific city, I will look for other properties related to "city" or "nearest city" for Lassen Peak.

[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]
There does not appear to be a direct property linking Lassen Peak to a specific city in Freebase. The most specific administrative area listed is Shasta County, and the mountain is also within Lassen Volcanic National Park.

To be thorough, I'll check if Lassen Volcanic National Park (fb:m.01ymnm) is linked to a city, as sometimes parks are associated with a nearby city.

[Tool]
Top 10 property alternatives:
1. State (fb:base.usnationalparks.us_national_park.state): part of US National Park Service Site schema, links to type Location
2. Area (fb:location.location.area): links to type Floating Point Number, part of Location schema
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. Image (fb:common.topic.image): part of Topic schema, links to type Image
6. Key (fb:type.object.key): part of Object schema, links to type Key
7. Description (fb:common.topic.description): part of Topic schema, links to type Text
8. Contains (fb:location.location.contains): part of Location schema, links to type Location
9. Named after (fb:symbols.namesake.named_after): links to type Name source, part of Namesake schema
10. Article (fb:common.topic.article): links to type Document, part of Topic schema

No other items found

[Assistant]
There is no direct property linking Lassen Volcanic National Park to a city either. The available properties are "state," "area," and other general descriptors.

Given this, the most specific location information available in Freebase for Lassen Peak is that it is in Shasta County, California, within Lassen Volcanic National Park. There is no direct city associated with Lassen Peak in Freebase.

I will now construct a SPARQL query that returns all "contained by" locations for Lassen Peak, including their labels, so the user can see the most specific administrative areas available.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The answer correctly states that Mount Lassen (Lassen Peak) is not located within a city, but rather within Shasta County and Lassen Volcanic National Park. The SPARQL query retrieves all locations that contain Lassen Peak, and the execution result confirms the answer. The query returns the IRIs as required, and labels are included optionally. The answer is accurate and complete given the data in Freebase.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?stadium ?stadiumLabel ?location ?locationLabel WHERE {
  fb:m.03t3zk fb:sports.sports_team.arena_stadium ?stadium .
  OPTIONAL {
    ?stadium rdfs:label ?stadiumLabel .
    FILTER ( lang( ?stadiumLabel ) = 'en' )
  }
  OPTIONAL {
    ?stadium fb:location.location.containedby ?location .
    ?location rdfs:label ?locationLabel .
    FILTER ( lang( ?locationLabel ) = 'en' )
  }
}

Got 3 rows and 4 columns:
| stadium                      | stadiumLabel       | location                     | locationLabel       |
| ---------------------------- | ------------------ | ---------------------------- | ------------------- |
| Aviva Stadium (fb:m.05h4fd2) | Aviva Stadium (en) | Lansdowne Road (fb:m.020yhm) | Lansdowne Road (en) |
| Aviva Stadium (fb:m.05h4fd2) | Aviva Stadium (en) | Dublin (fb:m.02cft)          | Dublin (en)         |
| Aviva Stadium (fb:m.05h4fd2) | Aviva Stadium (en) | Ballsbridge (fb:m.09s4k)     | Ballsbridge (en)    |

The Ireland national rugby union team plays its home matches at Aviva Stadium (fb:m.05h4fd2), located in Ballsbridge, Dublin.

[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 http://galera:7002

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]
Let's break down the question:

- The user is asking about the locations (venues, stadiums, or cities) where the Ireland national rugby union team plays its matches.
- We need to identify the entity for the Ireland rugby union team and then find properties related to their home stadiums or venues.

Step 1: Search for the entity "Ireland rugby union team" in Freebase.

[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 Wolfhounds, also known as Ireland A Rugby Union Team (fb:m.02r92r4): The Ireland Wolfhounds are the second national rugby union team ... and 2008. They were renamed Ireland Wolfhounds in January 2010., has type Sports Team
3. 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
4. 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
5. 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
6. 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
7. 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
8. 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
9. Auckland rugby union team, also known as Auckland representative rugby union team, Auckland rugby union team, Auckland Rugby Football Union, Auckland 1st XV (fb:m.0dh_x2): The Auckland rugby union team is the top representative rugby un...g Patrick Tuipulotu in 2014. Auckland is coached by Paul Feeney., has type Organization
10. Canterbury rugby union team, also known as Canterbury representative rugby union team (fb:m.06zsqpb): has type Sports Team

[Assistant]
The most relevant entity for the Ireland national rugby union team is:
- Ireland national rugby union team (fb:m.03t3zk)

Next, I need to find properties related to where this team plays, such as "home stadium", "venue", or "ground". I'll search for properties of this entity related to "stadium" or "venue".

[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. Key (fb:type.object.key): part of Object schema, links to type Key
8. Name (fb:type.object.name): part of Object schema, links to type Text
9. Coaches (fb:sports.sports_team.coaches): links to type Sports team coach tenure, part of Sports Team schema
10. Type (fb:type.object.type): part of Object schema, links to type Type

No other items found

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

I'll start by checking which stadiums or arenas are linked to the team using the "arena_stadium" property.

[Tool]
Got 1 row and 3 columns:
| subject                                         | property                                            | object                       |
| ----------------------------------------------- | --------------------------------------------------- | ---------------------------- |
| Ireland national rugby union team (fb:m.03t3zk) | Arena/Stadium (fb:sports.sports_team.arena_stadium) | Aviva Stadium (fb:m.05h4fd2) |

[Tool]
Got 414 rows and 3 columns, showing the first 10 rows below:
| subject                      | property                                                            | object                                                                   |
| ---------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Aviva Stadium (fb:m.05h4fd2) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Aviva Stadium (fb:m.05h4fd2) | Key (fb:type.object.key)                                            | /en/aviva_stadium                                                        |
| Aviva Stadium (fb:m.05h4fd2) | Name (fb:type.object.name)                                          | Avivastadion (nl)                                                        |
| Aviva Stadium (fb:m.05h4fd2) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%45%44%39%28_%23%41%4A%41%27>              |
| Aviva Stadium (fb:m.05h4fd2) | Notable for (fb:common.topic.notable_for)                           | fb:g.1257s21mt                                                           |
| Aviva Stadium (fb:m.05h4fd2) | Notable types (fb:common.topic.notable_types)                       | Sports Facility (fb:m.025672b)                                           |
| Aviva Stadium (fb:m.05h4fd2) | Description (fb:common.topic.description)                           | Aviva Stadion is een stadion in ...s kampioenschap voetbal in 2020. (nl) |
| Aviva Stadium (fb:m.05h4fd2) | Article (fb:common.topic.article)                                   | fb:m.05h4fd6                                                             |
| Aviva Stadium (fb:m.05h4fd2) | Also known as (fb:common.topic.alias)                               | Aviva Stadium, Ballsbridge (en)                                          |
| Aviva Stadium (fb:m.05h4fd2) | Contained by (fb:location.location.containedby)                     | Dublin (fb:m.02cft)                                                      |
| ...                          | ...                                                                 | ...                                                                      |

[Tool]
Got 3 rows and 3 columns:
| subject                      | property                                        | object                       |
| ---------------------------- | ----------------------------------------------- | ---------------------------- |
| Aviva Stadium (fb:m.05h4fd2) | Contained by (fb:location.location.containedby) | Dublin (fb:m.02cft)          |
| Aviva Stadium (fb:m.05h4fd2) | Contained by (fb:location.location.containedby) | Lansdowne Road (fb:m.020yhm) |
| Aviva Stadium (fb:m.05h4fd2) | Contained by (fb:location.location.containedby) | Ballsbridge (fb:m.09s4k)     |

[Tool]
Got 27 rows and 3 columns, showing the first 10 rows below:
| subject                      | property   | object             |
| ---------------------------- | ---------- | ------------------ |
| Aviva Stadium (fb:m.05h4fd2) | rdfs:label | Avivastadion (nl)  |
| Aviva Stadium (fb:m.05h4fd2) | rdfs:label | Aviva Stadion (hu) |
| Aviva Stadium (fb:m.05h4fd2) | rdfs:label | Aviva Stadium (ca) |
| Aviva Stadium (fb:m.05h4fd2) | rdfs:label | Aviva Stadium (da) |
| Aviva Stadium (fb:m.05h4fd2) | rdfs:label | Aviva Stadium (de) |
| Aviva Stadium (fb:m.05h4fd2) | rdfs:label | Aviva Stadium (el) |
| Aviva Stadium (fb:m.05h4fd2) | rdfs:label | Aviva Stadium (en) |
| Aviva Stadium (fb:m.05h4fd2) | rdfs:label | Aviva Stadium (et) |
| Aviva Stadium (fb:m.05h4fd2) | rdfs:label | Aviva Stadium (fi) |
| Aviva Stadium (fb:m.05h4fd2) | rdfs:label | Aviva Stadium (fr) |
| ...                          | ...        | ...                |

[Tool]
Top 10 property alternatives:
1. Venue (fb:sports.sports_team.venue): links to type Team/venue relationship, part of Sports Team schema
2. Arena/Stadium (fb:sports.sports_team.arena_stadium): links to type Sports Facility, part of Sports Team schema
3. Championships (fb:sports.sports_team.championships): links to type Sports League Championship Event, part of Sports Team schema
4. Key (fb:type.object.key): part of Object schema, links to type Key
5. Name (fb:type.object.name): part of Object schema, links to type Text
6. Sport (fb:sports.sports_team.sport): part of Sports Team schema, links to type Sport
7. Description (fb:common.topic.description): part of Topic schema, links to type Text
8. Roster (fb:sports.sports_team.roster): links to type Sports team roster, part of Sports Team schema
9. Colors (fb:sports.sports_team.colors): part of Sports Team schema, links to type Color
10. Type (fb:type.object.type): part of Object schema, links to type Type

No other items found

[Tool]
Got 1 row and 3 columns:
| subject                                         | property                            | object       |
| ----------------------------------------------- | ----------------------------------- | ------------ |
| Ireland national rugby union team (fb:m.03t3zk) | Venue (fb:sports.sports_team.venue) | fb:m.0wz2kl3 |

[Tool]
Got 6 rows and 3 columns:
| subject      | property                                              | object                                                      |
| ------------ | ----------------------------------------------------- | ----------------------------------------------------------- |
| fb:m.0wz2kl3 | Type (fb:type.object.type)                            | Team/venue relationship (fb:sports.team_venue_relationship) |
| fb:m.0wz2kl3 | Has no value (fb:freebase.valuenotation.has_no_value) | To (fb:m.0jyz79l)                                           |
| fb:m.0wz2kl3 | Venue (fb:sports.team_venue_relationship.venue)       | Aviva Stadium (fb:m.05h4fd2)                                |
| fb:m.0wz2kl3 | Team (fb:sports.team_venue_relationship.team)         | Ireland national rugby union team (fb:m.03t3zk)             |
| fb:m.0wz2kl3 | From (fb:sports.team_venue_relationship.from)         | 2010 (xsd:gYear)                                            |
| fb:m.0wz2kl3 | rdf:type                                              | Team/venue relationship (fb:sports.team_venue_relationship) |

[Tool]
Got 27 rows and 3 columns, showing the first 10 rows below:
| subject                      | property   | object             |
| ---------------------------- | ---------- | ------------------ |
| Aviva Stadium (fb:m.05h4fd2) | rdfs:label | Avivastadion (nl)  |
| Aviva Stadium (fb:m.05h4fd2) | rdfs:label | Aviva Stadion (hu) |
| Aviva Stadium (fb:m.05h4fd2) | rdfs:label | Aviva Stadium (ca) |
| Aviva Stadium (fb:m.05h4fd2) | rdfs:label | Aviva Stadium (da) |
| Aviva Stadium (fb:m.05h4fd2) | rdfs:label | Aviva Stadium (de) |
| Aviva Stadium (fb:m.05h4fd2) | rdfs:label | Aviva Stadium (el) |
| Aviva Stadium (fb:m.05h4fd2) | rdfs:label | Aviva Stadium (en) |
| Aviva Stadium (fb:m.05h4fd2) | rdfs:label | Aviva Stadium (et) |
| Aviva Stadium (fb:m.05h4fd2) | rdfs:label | Aviva Stadium (fi) |
| Aviva Stadium (fb:m.05h4fd2) | rdfs:label | Aviva Stadium (fr) |
| ...                          | ...        | ...                |

[Tool]
Got 3 rows and 3 columns:
| subject                      | property                                        | object                       |
| ---------------------------- | ----------------------------------------------- | ---------------------------- |
| Aviva Stadium (fb:m.05h4fd2) | Contained by (fb:location.location.containedby) | Dublin (fb:m.02cft)          |
| Aviva Stadium (fb:m.05h4fd2) | Contained by (fb:location.location.containedby) | Lansdowne Road (fb:m.020yhm) |
| Aviva Stadium (fb:m.05h4fd2) | Contained by (fb:location.location.containedby) | Ballsbridge (fb:m.09s4k)     |

[Tool]
Got 43 rows and 3 columns, showing the first 10 rows below:
| subject             | property   | object       |
| ------------------- | ---------- | ------------ |
| Dublin (fb:m.02cft) | rdfs:label | Dublin (cs)  |
| Dublin (fb:m.02cft) | rdfs:label | Dublin (da)  |
| Dublin (fb:m.02cft) | rdfs:label | Dublin (de)  |
| Dublin (fb:m.02cft) | rdfs:label | Dublin (en)  |
| Dublin (fb:m.02cft) | rdfs:label | Dublin (et)  |
| Dublin (fb:m.02cft) | rdfs:label | Dublin (fi)  |
| Dublin (fb:m.02cft) | rdfs:label | Dublin (fil) |
| Dublin (fb:m.02cft) | rdfs:label | Dublin (fr)  |
| Dublin (fb:m.02cft) | rdfs:label | Dublin (hr)  |
| Dublin (fb:m.02cft) | rdfs:label | Dublin (hu)  |
| ...                 | ...        | ...          |

[Tool]
Got 13 rows and 3 columns, showing the first 10 rows below:
| subject                      | property   | object              |
| ---------------------------- | ---------- | ------------------- |
| Lansdowne Road (fb:m.020yhm) | rdfs:label | Lansdowne Road (ca) |
| Lansdowne Road (fb:m.020yhm) | rdfs:label | Lansdowne Road (de) |
| Lansdowne Road (fb:m.020yhm) | rdfs:label | Lansdowne Road (en) |
| Lansdowne Road (fb:m.020yhm) | rdfs:label | Lansdowne Road (es) |
| Lansdowne Road (fb:m.020yhm) | rdfs:label | Lansdowne Road (fr) |
| Lansdowne Road (fb:m.020yhm) | rdfs:label | Lansdowne Road (id) |
| Lansdowne Road (fb:m.020yhm) | rdfs:label | Lansdowne Road (it) |
| Lansdowne Road (fb:m.020yhm) | rdfs:label | Lansdowne Road (nl) |
| Lansdowne Road (fb:m.020yhm) | rdfs:label | Lansdowne Road (pl) |
| Lansdowne Road (fb:m.020yhm) | rdfs:label | Lansdowne Road (pt) |
| ...                          | ...        | ...                 |

[Tool]
Got 3 rows and 3 columns:
| subject                  | property   | object           |
| ------------------------ | ---------- | ---------------- |
| Ballsbridge (fb:m.09s4k) | rdfs:label | Ballsbridge (en) |
| Ballsbridge (fb:m.09s4k) | rdfs:label | Ballsbridge (fr) |
| Ballsbridge (fb:m.09s4k) | rdfs:label | Болсбридж (ru)   |

[Assistant]
Based on the data, the Ireland national rugby union team plays its home matches at Aviva Stadium, which is located in Ballsbridge, Dublin, and was previously associated with Lansdowne Road.

Now, I will write a SPARQL query that returns the stadium(s) (with their IRIs) where the Ireland national rugby union team plays, along with optional labels and location information.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the stadium(s) where the Ireland national rugby union team plays, along with their locations. It returns the stadium's IRI and optionally its label, as well as the locations containing the stadium and their labels. The answer provided is accurate and matches the query result. No further refinement is necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?religion ?religionLabel WHERE {
  fb:m.0f8l9c fb:location.statistical_region.religions ?relPerc .
  ?relPerc 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) |

According to the available data in Freebase, the only religion associated with France via the 'Religions' property is Catholicism. Please note that this result reflects only what is present in the Freebase dataset; in reality, France is home to a variety of religions, but only Catholicism is listed in this data source.

[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 http://galera:7002

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]
Let's break down the question:

1. The user wants to know about religions that are "popular" in France.
2. We need to identify the entity for "France" and the property that links a country to religions, ideally with some indication of popularity (such as "major religion", "dominant religion", "religion in country", etc.).

First, I'll search for the entity "France" in Freebase.

[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]
The correct entity for the country France is fb:m.0f8l9c.

Next, I need to find a property in Freebase that links a country to religions, ideally indicating major, dominant, or popular religions. I'll search for properties related to "religion" for the France entity.

[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 most relevant property is "Religions" (fb:location.statistical_region.religions), which likely links France to religions, possibly with some indication of their prevalence (such as percentage).

Next, I'll list some triples where France (fb:m.0f8l9c) is the subject and the property is fb:location.statistical_region.religions, to see the structure of the data and what information is available about religions in France.

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

[Assistant]
The object linked from France via the "Religions" property is fb:m.03q9tjt. This is likely a node representing a "Religion percentage" or a similar statistical breakdown.

To understand what religions are included and how they are represented, I'll list the properties of fb:m.03q9tjt.

[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 node fb:m.03q9tjt is of type "Religion percentage" and is linked to "Catholicism" (fb:m.0c8wxp) as the religion.

This suggests that the "Religions" property links to "Religion percentage" nodes, each of which likely has a property indicating the specific religion (and possibly a percentage value, though it is not shown here).

To find all popular religions in France, I should look for all objects linked from France via fb:location.statistical_region.religions, and for each, get the religion they point to.

I'll write a SPARQL query to retrieve all religions associated with France via this property, and also try to get their labels for clarity.

[Tool]
Got 41 rows and 2 columns, showing the first 5 and last 5 rows below:
| religion                  | religionLabel     |
| ------------------------- | ----------------- |
| Catholicism (fb:m.0c8wxp) | Catholicism (en)  |
| Catholicism (fb:m.0c8wxp) | Catholicisme (fr) |
| Catholicism (fb:m.0c8wxp) | Catolicism (ro)   |
| Catholicism (fb:m.0c8wxp) | Catolicisme (ca)  |
| Catholicism (fb:m.0c8wxp) | Catolicismo (es)  |
| ...                       | ...               |
| Catholicism (fb:m.0c8wxp) | คาทอลิก (th)      |
| Catholicism (fb:m.0c8wxp) | 보편교회주의 (ko)       |
| Catholicism (fb:m.0c8wxp) | カトリシズム (ja)       |
| Catholicism (fb:m.0c8wxp) | 天主教 (zh)          |
| Catholicism (fb:m.0c8wxp) | 天主教 (zh-Hant)     |

[Assistant]
The query results show that only "Catholicism" is linked as a religion for France in the Freebase data, and it appears with labels in many languages.

To summarize:
- The only religion associated with France via the "Religions" property in Freebase is Catholicism (fb:m.0c8wxp).

Here is the SPARQL query that retrieves this information:

```sparql
SELECT ?religion ?religionLabel WHERE {
  fb:m.0f8l9c fb:location.statistical_region.religions ?relPerc .
  ?relPerc fb:location.religion_percentage.religion ?religion .
  OPTIONAL { ?religion rdfs:label ?religionLabel }
}
```

Final answer: According to Freebase, the popular religion in France is Catholicism.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query is structurally correct and retrieves religions associated with France using the appropriate properties. However, the answer provided is incomplete and misleading. The query result shows only Catholicism in multiple languages, but the Freebase data may contain other religions as well. The answer should reflect all religions returned by the query, not just Catholicism. Additionally, the query could be refined to group or distinct the results by religion to avoid duplicate entries due to multiple labels. Please update the answer to list all religions found and consider using SELECT DISTINCT to avoid duplicate religions in the output.

[Assistant]
Thank you for the feedback. You are correct: the previous query returned multiple rows for the same religion due to different language labels, and my answer only mentioned Catholicism. To provide a more accurate and complete answer, I should:

1. Use SELECT DISTINCT to ensure each religion is listed only once, regardless of label language.
2. List all unique religions associated with France in the Freebase data.

I'll update the query to use SELECT DISTINCT for the religion IRIs and their English labels (if available), and then provide a complete list of all religions found.

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

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query is technically correct and follows the rules, returning the IRI for the religion and optionally its label. However, the answer is incomplete: it only returns Catholicism, which is likely due to limitations in the Freebase data rather than the query itself. The answer should clarify that the result is limited by the available data in Freebase, and that other religions may be present in France but are not listed in the dataset. The answer as written could mislead users into thinking Catholicism is the only religion in France, which is not accurate. Please add a note about data limitations to the answer.

[Tool] Stopped generation process