PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?container ?containerName ?country ?countryName ?lat ?lon WHERE {
  fb:m.05fym fb:location.location.containedby ?container .
  OPTIONAL {
    ?container fb:type.object.name ?containerName .
    FILTER ( lang( ?containerName ) = 'en' )
  }
  ?container fb:location.location.containedby ?country .
  OPTIONAL {
    ?country fb:type.object.name ?countryName .
    FILTER ( lang( ?countryName ) = 'en' )
  }
  fb:m.05fym fb:location.location.geolocation ?geo .
  ?geo fb:location.geocode.latitude ?lat .
  ?geo fb:location.geocode.longitude ?lon .
}

Nineveh is an ancient city located in Nineveh Governorate, Iraq. Its coordinates are approximately 36.36°N latitude and 43.15°E longitude.

[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] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
where is the capital city of assyrians?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0wmn ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0wmn fb:location.country.capital ?x .
}

Using entities:
Assyria (fb:m.0wmn): Assyria, a major Mesopotamian East Semitic kingdom and empire of...ts original capital, the ancient city of Aššur which dates to c., has type Country

Using properties:
Capital (fb:location.country.capital): links to type City/Town/Village, part of Country schema

Example 2:
Question:
what is the capital city of assyrian empire?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0wmn ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0wmn fb:location.country.capital ?x .
}

Using entities:
Assyria (fb:m.0wmn): Assyria, a major Mesopotamian East Semitic kingdom and empire of...ts original capital, the ancient city of Aššur which dates to c., has type Country

Using properties:
Capital (fb:location.country.capital): links to type City/Town/Village, part of Country schema

Example 3:
Question:
what city became the capital of the assyrian empire?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0wmn ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0wmn fb:location.country.capital ?x .
}

Using entities:
Assyria (fb:m.0wmn): Assyria, a major Mesopotamian East Semitic kingdom and empire of...ts original capital, the ancient city of Aššur which dates to c., has type Country

Using properties:
Capital (fb:location.country.capital): links to type City/Town/Village, part of Country schema

[Assistant]
The similar examples focus on the capital of Assyria, but your question is about the location of Nineveh city. I need to:

1. Identify the entity for Nineveh city in Freebase.
2. Find a property that links a city to its location (e.g., country, region, coordinates).
3. Write a query to get the location of Nineveh.

First, I will search for the entity "Nineveh" in Freebase.

[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]
The top result, fb:m.05fym, is "Nineveh, also known as Nineveh, Iraq," which matches the ancient city in Mesopotamia. This is the correct entity for your question.

Next, I need to find properties that describe the location of a city, such as country, region, or coordinates. I will search for properties related to "location" for this entity.

[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 most relevant properties for determining the location of Nineveh are:

- Geolocation (fb:location.location.geolocation): likely gives coordinates.
- Contained by (fb:location.location.containedby): likely gives the larger administrative region or country.

To provide a comprehensive answer, I will query both the "contained by" property (to see what region/country Nineveh is in) and the geolocation property (to get coordinates). I will also try to get human-readable labels for the containing region.

Let's build a SPARQL query to retrieve:
- The entity/entities that contain Nineveh (using fb:location.location.containedby)
- The geolocation (using fb:location.location.geolocation)
- Optionally, labels for the containing entity

Here is the query:

[Tool]
Got 73 rows and 3 columns, showing the first 5 and last 5 rows below:
| container                         | containerLabel               | geo          |
| --------------------------------- | ---------------------------- | ------------ |
| Nineveh Governorate (fb:m.01chdh) | Gobernación de Nínive (es)   | fb:m.02_hynm |
| Nineveh Governorate (fb:m.01chdh) | Governació de Nínive (ca)    | fb:m.02_hynm |
| Nineveh Governorate (fb:m.01chdh) | Governatorato di Ninawa (it) | fb:m.02_hynm |
| Nineveh Governorate (fb:m.01chdh) | Kegubernuran Ninawa (id)     | fb:m.02_hynm |
| Nineveh Governorate (fb:m.01chdh) | Ninawa (da)                  | fb:m.02_hynm |
| ...                               | ...                          | ...          |
| Iraq (fb:m.0d05q4)                | ประเทศอิรัก (th)             | fb:m.02_hynm |
| Iraq (fb:m.0d05q4)                | 이라크 (ko)                     | fb:m.02_hynm |
| Iraq (fb:m.0d05q4)                | イラク (ja)                     | fb:m.02_hynm |
| Iraq (fb:m.0d05q4)                | 伊拉克 (zh)                     | fb:m.02_hynm |
| Iraq (fb:m.0d05q4)                | 伊拉克 (zh-Hant)                | fb:m.02_hynm |

[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]
Got 552 rows and 3 columns, showing the first 10 rows below:
| subject                           | property                                                            | object                                                                   |
| --------------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Nineveh Governorate (fb:m.01chdh) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Nineveh Governorate (fb:m.01chdh) | Key (fb:type.object.key)                                            | /authority/gns/$002D3109091                                              |
| Nineveh Governorate (fb:m.01chdh) | Name (fb:type.object.name)                                          | Gobernación de Nínive (es)                                               |
| Nineveh Governorate (fb:m.01chdh) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%46%4A%46%48%49_(%45%2D%27%41%38%29)>      |
| Nineveh Governorate (fb:m.01chdh) | Notable for (fb:common.topic.notable_for)                           | fb:g.125cyfr_3                                                           |
| Nineveh Governorate (fb:m.01chdh) | Notable types (fb:common.topic.notable_types)                       | Administrative Division (fb:m.02hpz31)                                   |
| Nineveh Governorate (fb:m.01chdh) | Description (fb:common.topic.description)                           | El governació de Nínive és una p...nive. La seva capital es Mossul. (ca) |
| Nineveh Governorate (fb:m.01chdh) | Article (fb:common.topic.article)                                   | fb:m.01chdr                                                              |
| Nineveh Governorate (fb:m.01chdh) | Also known as (fb:common.topic.alias)                               | Al Mawsil (en)                                                           |
| Nineveh Governorate (fb:m.01chdh) | Contained by (fb:location.location.containedby)                     | Iraq (fb:m.0d05q4)                                                       |
| ...                               | ...                                                                 | ...                                                                      |

[Tool]
Got 4,007 rows and 3 columns, showing the first 10 rows below:
| subject            | property                                                            | object                                                                    |
| ------------------ | ------------------------------------------------------------------- | ------------------------------------------------------------------------- |
| Iraq (fb:m.0d05q4) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                   |
| Iraq (fb:m.0d05q4) | Key (fb:type.object.key)                                            | /authority/daylife/topic/0erS9Ww7SZ21H                                    |
| Iraq (fb:m.0d05q4) | Name (fb:type.object.name)                                          | Iraak (et)                                                                |
| Iraq (fb:m.0d05q4) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%27%44%39%31%27%42>                         |
| Iraq (fb:m.0d05q4) | Notable for (fb:common.topic.notable_for)                           | fb:g.1257kq2m4                                                            |
| Iraq (fb:m.0d05q4) | Notable types (fb:common.topic.notable_types)                       | Country (fb:m.01mp)                                                       |
| Iraq (fb:m.0d05q4) | Description (fb:common.topic.description)                           | Ang Republika ng Iraq ay isang b...in sa Umm Qasr sa Golpo Persiko. (fil) |
| Iraq (fb:m.0d05q4) | Article (fb:common.topic.article)                                   | fb:m.0d05qg                                                               |
| Iraq (fb:m.0d05q4) | Also known as (fb:common.topic.alias)                               | Irak (fil)                                                                |
| Iraq (fb:m.0d05q4) | Contained by (fb:location.location.containedby)                     | Asia (fb:m.0j0k)                                                          |
| ...                | ...                                                                 | ...                                                                       |

[Tool]
Got 43 rows and 3 columns, showing the first 10 rows below:
| subject            | property                   | object     |
| ------------------ | -------------------------- | ---------- |
| Iraq (fb:m.0d05q4) | Name (fb:type.object.name) | Iraak (et) |
| Iraq (fb:m.0d05q4) | Name (fb:type.object.name) | Irak (da)  |
| Iraq (fb:m.0d05q4) | Name (fb:type.object.name) | Irak (de)  |
| Iraq (fb:m.0d05q4) | Name (fb:type.object.name) | Irak (es)  |
| Iraq (fb:m.0d05q4) | Name (fb:type.object.name) | Irak (fi)  |
| Iraq (fb:m.0d05q4) | Name (fb:type.object.name) | Irak (fr)  |
| Iraq (fb:m.0d05q4) | Name (fb:type.object.name) | Irak (hr)  |
| Iraq (fb:m.0d05q4) | Name (fb:type.object.name) | Irak (hu)  |
| Iraq (fb:m.0d05q4) | Name (fb:type.object.name) | Irak (id)  |
| Iraq (fb:m.0d05q4) | Name (fb:type.object.name) | Irak (nl)  |
| ...                | ...                        | ...        |

[Tool]
Got 30 rows and 3 columns, showing the first 10 rows below:
| subject                           | property                   | object                       |
| --------------------------------- | -------------------------- | ---------------------------- |
| Nineveh Governorate (fb:m.01chdh) | Name (fb:type.object.name) | Gobernación de Nínive (es)   |
| Nineveh Governorate (fb:m.01chdh) | Name (fb:type.object.name) | Governació de Nínive (ca)    |
| Nineveh Governorate (fb:m.01chdh) | Name (fb:type.object.name) | Governatorato di Ninawa (it) |
| Nineveh Governorate (fb:m.01chdh) | Name (fb:type.object.name) | Kegubernuran Ninawa (id)     |
| Nineveh Governorate (fb:m.01chdh) | Name (fb:type.object.name) | Ninawa (da)                  |
| Nineveh Governorate (fb:m.01chdh) | Name (fb:type.object.name) | Ninawa (de)                  |
| Nineveh Governorate (fb:m.01chdh) | Name (fb:type.object.name) | Ninawa (fi)                  |
| Nineveh Governorate (fb:m.01chdh) | Name (fb:type.object.name) | Ninawa (nl)                  |
| Nineveh Governorate (fb:m.01chdh) | Name (fb:type.object.name) | Ninawa (no)                  |
| Nineveh Governorate (fb:m.01chdh) | Name (fb:type.object.name) | Ninawa (pt)                  |
| ...                               | ...                        | ...                          |

[Tool]
Got 30 rows and 3 columns, showing the first 10 rows below:
| subject                           | property                                  | object                                                                   |
| --------------------------------- | ----------------------------------------- | ------------------------------------------------------------------------ |
| Nineveh Governorate (fb:m.01chdh) | Description (fb:common.topic.description) | El governació de Nínive és una p...nive. La seva capital es Mossul. (ca) |
| Nineveh Governorate (fb:m.01chdh) | Description (fb:common.topic.description) | Guvernorát Ninive je druhý nejli... Dahúk, Arbíl, Saladdín a Anbár. (cs) |
| Nineveh Governorate (fb:m.01chdh) | Description (fb:common.topic.description) | Kegubernuran Ninawa merupakan se...0 jiwa. Ibu kotanya ialah Mosul. (id) |
| Nineveh Governorate (fb:m.01chdh) | Description (fb:common.topic.description) | La province de Ninive, en arabe ...uait aussi la province de Dahuk. (fr) |
| Nineveh Governorate (fb:m.01chdh) | Description (fb:common.topic.description) | Ninawa är en provins i nordvästr...sen Ninawa, är på Nineveslätten. (sv) |
| Nineveh Governorate (fb:m.01chdh) | Description (fb:common.topic.description) | Ninawa è il nome arabo dell'anti...ernatorato è la città di Mossul. (it) |
| Nineveh Governorate (fb:m.01chdh) | Description (fb:common.topic.description) | Nīnawā er en av atten provinser ...vgjøres gjennom folkeavstemning. (no) |
| Nineveh Governorate (fb:m.01chdh) | Description (fb:common.topic.description) | Ninawa er en irakisk provins, be...ve og Kela, det er den store By. (da) |
| Nineveh Governorate (fb:m.01chdh) | Description (fb:common.topic.description) | Ninawa é uma das 18 províncias d...eivindica a autonomia da região. (pt) |
| Nineveh Governorate (fb:m.01chdh) | Description (fb:common.topic.description) | Ninawa oder Ninive ist ein Gouve...Hauptstadt der Assyrer, benannt. (de) |
| ...                               | ...                                       | ...                                                                      |

[Tool]
Got 41 rows and 3 columns, showing the first 10 rows below:
| subject            | property                                  | object                                                                    |
| ------------------ | ----------------------------------------- | ------------------------------------------------------------------------- |
| Iraq (fb:m.0d05q4) | Description (fb:common.topic.description) | Ang Republika ng Iraq ay isang b...in sa Umm Qasr sa Golpo Persiko. (fil) |
| Iraq (fb:m.0d05q4) | Description (fb:common.topic.description) | Cộng hoà Iraq - - là một quốc gi... Sumerian, Assyrian, và Babylon. (vi)  |
| Iraq (fb:m.0d05q4) | Description (fb:common.topic.description) | Die Republik Irak ist ein Staat ...ür die Nachkriegsära aufzubauen. (de)  |
| Iraq (fb:m.0d05q4) | Description (fb:common.topic.description) | Iraak on riik Lähis-Idas, Ees-Aa...dala on 435 053 või 437 072 km². (et)  |
| Iraq (fb:m.0d05q4) | Description (fb:common.topic.description) | Irāka, oficiāli Irākas Republika...as un tika izgudrota rakstīšana. (lv)  |
| Iraq (fb:m.0d05q4) | Description (fb:common.topic.description) | Irak, dlhý tvar Iracká republika, je štát v juhozápadnej Ázii. (sk)       |
| Iraq (fb:m.0d05q4) | Description (fb:common.topic.description) | Irak, dünyanın en eski medeniyet...olduğu gibi hızla gelişmektedir. (tr)  |
| Iraq (fb:m.0d05q4) | Description (fb:common.topic.description) | Irak, formellt Republiken Irak, ... den osmanske sultanen Süleyman. (sv)  |
| Iraq (fb:m.0d05q4) | Description (fb:common.topic.description) | Irakin tasavalta eli Irak on tas...n Irakin sota vuosina 2003–2010. (fi)  |
| Iraq (fb:m.0d05q4) | Description (fb:common.topic.description) | Irak, officieel de Republiek Ira... de stad Uruk zou zijn afgeleid. (nl)  |
| ...                | ...                                       | ...                                                                       |

[Assistant]
Here is a summary of the findings:

- Nineveh (fb:m.05fym) is contained by Nineveh Governorate (fb:m.01chdh), which is in Iraq (fb:m.0d05q4).
- The geolocation for Nineveh is latitude 36.359444, longitude 43.152778.
- Nineveh Governorate is an administrative region in Iraq, and Iraq is a country in the Middle East.

Now, I will provide a SPARQL query that returns:
- The containing region (Nineveh Governorate) and country (Iraq) for Nineveh
- The coordinates (latitude and longitude)

Here is the final SPARQL query and answer:

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?state WHERE {
  VALUES ?placeLived {
    fb:m.03pvpw8 fb:m.04hdf4v
  }
  ?placeLived fb:people.place_lived.location ?loc .
  ?loc fb:location.location.containedby ?state .
  ?state fb:type.object.type fb:location.us_state .
}

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] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
what colony is john adams from?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03_js ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03_js fb:government.politician.government_positions_held ?y .
  ?y fb:government.government_position_held.district_represented ?x .
  ?x fb:location.location.containedby fb:m.08csr .
}

Using entities:
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
Thirteen Colonies, also known as 13 colonies (fb:m.08csr): The Thirteen Colonies, as of 1775, were British colonies on the ...p state governments, and formed a new nation, the United States., has type Location

Using properties:
District represented (if position is district-related) (fb:government.government_position_held.district_represented): part of Government Position Held schema, links to type Political District
Government Positions Held (fb:government.politician.government_positions_held): links to type Government Position Held, part of Politician schema
Contained by (fb:location.location.containedby): part of Location schema, links to type Location

Example 2:
Question:
what year did john adams get elected president?

SPARQL:
SELECT DISTINCT ?dt WHERE {
  ?e fb:government.election.winner fb:m.03_js ; fb:government.election.office fb:m.060d2 ; fb:government.election.election_year ?dt .
}

Using entities:
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
President of the United States, also known as Commander in Chief, President of the United States of America (fb:m.060d2): The President of the United States of America is the elected hea...er or both houses of Congress under extraordinary circumstances., has type Government Office or Title

Using properties:
Date of election (fb:government.election.election_year): part of Election contest schema, links to type Date/Time
Office (fb:government.election.office): links to type Government Office or Title, part of Election contest schema
Winner(s) (fb:government.election.winner): part of Election contest schema, links to type Politician

Example 3:
Question:
what date was john adams elected president?

SPARQL:
SELECT DISTINCT ?dt WHERE {
  ?e fb:government.election.winner fb:m.03_js ; fb:government.election.office fb:m.060d2 ; fb:government.election.election_year ?dt .
}

Using entities:
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
President of the United States, also known as Commander in Chief, President of the United States of America (fb:m.060d2): The President of the United States of America is the elected hea...er or both houses of Congress under extraordinary circumstances., has type Government Office or Title

Using properties:
Date of election (fb:government.election.election_year): part of Election contest schema, links to type Date/Time
Office (fb:government.election.office): links to type Government Office or Title, part of Election contest schema
Winner(s) (fb:government.election.winner): part of Election contest schema, links to type Politician

[Assistant]
From the similar example, the question "what colony is john adams from?" is close to "what state did john adams live in?". The example uses John Adams' government positions to infer the colony (which would later become a state) he represented.

However, for "state lived in", we should look for properties related to "place of residence", "lived in", or "location of residence" for John Adams (fb:m.03_js).

Step 1: 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 fb:people.person.places_lived ("Places lived") is the most relevant for finding out what state John Adams lived in.

Step 2: Let's list the values for fb:people.person.places_lived for John Adams (fb:m.03_js) to see what locations are associated with his residence.

[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. To determine the states, we need to resolve these entities to their labels and see if they are cities or states, and then possibly find their containing state.

Step 3: Get the labels for these two places.

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

[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 65 rows and 2 columns, showing the first 5 and last 5 rows below:
| place                       | label                  |
| --------------------------- | ---------------------- |
| Braintree (fb:m.01cj4g)     | Braintree (ca)         |
| Braintree (fb:m.01cj4g)     | Braintree (de)         |
| Braintree (fb:m.01cj4g)     | Braintree (en)         |
| Braintree (fb:m.01cj4g)     | Braintree (es)         |
| Braintree (fb:m.01cj4g)     | Braintree (fi)         |
| ...                         | ...                    |
| Massachusetts (fb:m.05k7sb) | มลรัฐแมสซาชูเซตส์ (th) |
| Massachusetts (fb:m.05k7sb) | 매사추세츠 주 (ko)           |
| Massachusetts (fb:m.05k7sb) | マサチューセッツ州 (ja)         |
| Massachusetts (fb:m.05k7sb) | 马萨诸塞州 (zh)             |
| Massachusetts (fb:m.05k7sb) | 麻薩諸塞州 (zh-Hant)        |

[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 1 row and 1 column:
| state                       |
| --------------------------- |
| Massachusetts (fb:m.05k7sb) |

[Tool] Stopped generation process


SELECT DISTINCT ?parent ?parentLabel ?birthplace ?birthplaceLabel WHERE {
  VALUES ?parent { fb:m.01v6nf fb:m.0c7vl1 }
  OPTIONAL { ?parent fb:people.person.place_of_birth ?birthplace . }
  OPTIONAL { ?parent rdfs:label ?parentLabel . FILTER (lang(?parentLabel) = 'en') }
  OPTIONAL { ?birthplace rdfs:label ?birthplaceLabel . FILTER (lang(?birthplaceLabel) = 'en') }
}
UNION
SELECT DISTINCT ?person ?personLabel ?birthplace ?birthplaceLabel WHERE {
  VALUES ?person { fb:m.0271_s }
  OPTIONAL { ?person fb:people.person.place_of_birth ?birthplace . }
  OPTIONAL { ?person rdfs:label ?personLabel . FILTER (lang(?personLabel) = 'en') }
  OPTIONAL { ?birthplace rdfs:label ?birthplaceLabel . FILTER (lang(?birthplaceLabel) = 'en') }
}

Mitt Romney's family origins are: his father George W. Romney was born in Colonia Dublán, his mother Lenore Romney was born in Logan, and Mitt Romney himself was born in Detroit.

[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] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
what are the name of mitt romney sons?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0271_s ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0271_s fb:people.person.children ?x .
  ?x fb:people.person.gender fb:m.05zppz .
}

Using entities:
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
Male, also known as Men, Man, Guy, Dude, Boy (fb:m.05zppz): A male organism is the physiological sex that produces sperm. Ea... sex depending on the number of females present in the vicinity., has type Risk Factor

Using properties:
Children (fb:people.person.children): part of Person schema, links to type Person
Gender (fb:people.person.gender): part of Person schema, links to type Gender

Example 2:
Question:
what are romney's sons names?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0271_s ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0271_s fb:people.person.children ?x .
  ?x fb:people.person.gender fb:m.05zppz .
}

Using entities:
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
Male, also known as Men, Man, Guy, Dude, Boy (fb:m.05zppz): A male organism is the physiological sex that produces sperm. Ea... sex depending on the number of females present in the vicinity., has type Risk Factor

Using properties:
Children (fb:people.person.children): part of Person schema, links to type Person
Gender (fb:people.person.gender): part of Person schema, links to type Gender

Example 3:
Question:
where is ann romney from?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02wvk7d ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02wvk7d fb:people.person.place_of_birth ?x .
}

Using entities:
Ann Romney, also known as Ann Davies (fb:m.02wvk7d): Ann Lois Romney is the wife of American businessman and politici...eatments with giving her a lifestyle mostly without limitations., has type Author

Using properties:
Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema

[Assistant]
From the similar examples, I see that:

- Mitt Romney's Freebase ID is fb:m.0271_s.
- For "where is X from?" questions, the property used is fb:people.person.place_of_birth.
- For family, we might look at parents (ancestry) or children, but the question is about "family origin" which could mean the place of birth of his parents, or possibly his own place of birth.

Step-by-step plan:
1. Identify Mitt Romney's parents (his immediate family).
2. For each parent, get their place of birth.
3. Optionally, also get Mitt Romney's own place of birth.

Let's start by finding the property for "parents" for Mitt Romney.

[Tool]
Top 10 property alternatives:
1. Parents (fb:people.person.parents): part of Person schema, links to type Person
2. Children (fb:people.person.children): part of Person schema, links to type Person
3. Name (fb:type.object.name): part of Object schema, links to type Text
4. Spouse (or domestic partner) (fb:people.person.spouse_s): links to type Marriage, part of Person schema
5. Type (fb:type.object.type): part of Object schema, links to type Type
6. Gender (fb:people.person.gender): part of Person schema, links to type Gender
7. Leader of (fb:business.board_member.leader_of): links to type Organization leadership, part of Organization leader schema
8. Image (fb:common.topic.image): part of Topic schema, links to type Image
9. Religion (fb:people.person.religion): links to type Religion, part of Person schema
10. Siblings (fb:people.person.sibling_s): links to type Sibling Relationship, part of Person schema

No other items found

[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)    |

[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 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 1 row and 3 columns:
| subject                   | property                                         | object               |
| ------------------------- | ------------------------------------------------ | -------------------- |
| Mitt Romney (fb:m.0271_s) | Place of birth (fb:people.person.place_of_birth) | Detroit (fb:m.02dtg) |

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

[Tool]
Got 1 row and 4 columns:
| person                    | personLabel      | birthplace           | birthplaceLabel |
| ------------------------- | ---------------- | -------------------- | --------------- |
| Mitt Romney (fb:m.0271_s) | Mitt Romney (en) | Detroit (fb:m.02dtg) | Detroit (en)    |

[Tool] Stopped generation process


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

Got 6 rows and 1 column:
| location                                    |
| ------------------------------------------- |
| California (fb:m.01n7q)                     |
| Lassen Volcanic National Park (fb:m.01ymnm) |
| North America (fb:m.059g4)                  |
| United States of America (fb:m.09c7w0)      |
| Cascade Range (fb:m.0k3nk)                  |
| Shasta County (fb:m.0l30v)                  |

Mount Lassen (Lassen Peak) is not in a city; it is located in Lassen Volcanic National Park, Shasta County, California.

[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] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
what a city in montana?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.050l8 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.050l8 fb:location.location.contains ?x .
  ?x fb:common.topic.notable_types fb:m.01m9 .
}

Using entities:
City/Town/Village, also known as City, Village, Hamlet, Town (fb:m.01m9): City/town/village refers to all named inhabited places at the mo...rmation, please see the Freebase wiki page on City/Town/Village.
Montana, also known as Treasure State, MT, Mont (fb:m.050l8): Montana /mɒnˈtænə/ is a state in the Western United States. The ...rn Battlefield National Monument, and Yellowstone National Park., has type US State

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Contains (fb:location.location.contains): part of Location schema, links to type Location

Example 2:
Question:
where is mount st helens?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.094xz ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.094xz fb:location.location.containedby ?x .
}

Using entities:
Mount St. Helens, also known as St. Helens mountain (fb:m.094xz): Mount St. Helens is an active stratovolcano located in Skamania ..., 15 miles of railways, and 185 miles of highway were destroyed., has type Mountain

Using properties:
Contained by (fb:location.location.containedby): part of Location schema, links to type Location

Example 3:
Question:
where is whistler mountain located?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02pg6z3 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02pg6z3 fb:location.location.containedby ?x .
}

Using entities:
Whistler Mountain (fb:m.02pg6z3): Whistler Mountain is a mountain in the Fitzsimmons Range of the ...BC. The mountain forms part of a major ski and snowboard resort., has type Mountain

Using properties:
Contained by (fb:location.location.containedby): part of Location schema, links to type Location

[Assistant]
The similar examples suggest that to find what city Mt. Lassen is in, I should:

1. Identify the entity for Mt. Lassen in Freebase.
2. Use the property fb:location.location.containedby to find the location that contains Mt. Lassen.
3. Filter for results that are cities.

First, I will search for the entity for "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]
None of the top results directly match "Mount Lassen" as a mountain. The closest matches are not mountains, but rather businesses, books, or other entities.

To improve the search, I will try searching for "Mount Lassen" instead of "mt lassen".

[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" and "mt lassen" did not return a mountain entity. However, the similar example for "Mount St. Helens" used the entity fb:m.094xz, which is a mountain.

Since "Lassen" is a well-known volcano, perhaps searching for "Lassen Peak" (its formal name) will yield the correct entity. I will search for "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]
"Lassen Peak" (fb:m.01ymq1) is identified as the correct entity and is also known as Mount Lassen. Now, I need to find what city contains Lassen Peak.

Based on the similar examples, I should use the property fb:location.location.containedby to find the containing location. Then, I need to filter for results that are cities.

First, I will check what entities are returned as containing locations for Lassen Peak.

[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]
The "contained by" property for Lassen Peak returns: United States, California, North America, Shasta County, Cascade Range, and Lassen Volcanic National Park. None of these are cities.

To check if there is a more specific city-level location, I will look for other properties related to location or 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 is no property directly linking Lassen Peak to a city. The "contained by" property only links to larger regions, counties, and the national park.

Given this, it is likely that Lassen Peak is not within a city, but rather within Lassen Volcanic National Park and Shasta County, California. This matches real-world knowledge: Lassen Peak is in a national park and not within the boundaries of any city.

To be thorough, I will check if Lassen Volcanic National Park is contained by any city using the same property.

[Tool]
Got 1 row and 3 columns:
| subject                                     | property                                        | object                     |
| ------------------------------------------- | ----------------------------------------------- | -------------------------- |
| Lassen Volcanic National Park (fb:m.01ymnm) | Contained by (fb:location.location.containedby) | Shasta County (fb:m.0l30v) |

[Assistant]
Lassen Volcanic National Park is contained by Shasta County, not by any city. This confirms that Lassen Peak (Mount Lassen) is not in a city, but rather in Shasta County, California, within Lassen Volcanic National Park.

I will now provide the SPARQL query and answer.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?venue WHERE {
  fb:m.03t3zk fb:sports.sports_team.arena_stadium ?venue .
}

Ireland play rugby union at Aviva Stadium (fb:m.05h4fd2), which is located in 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 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] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
where is ellis park rugby stadium?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.04ysfk ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.04ysfk fb:location.location.containedby ?x .
  ?x fb:common.topic.notable_types fb:m.01n7 .
}

Using entities:
Location (fb:m.01n7): The Location type is used for any topic with a fixed location on...e United States. More information can be found on their website.
Ellis Park Stadium, also known as Coca-Cola Park (fb:m.04ysfk): Ellis Park Stadium is a rugby union and association football sta...s seen such teams as Brazil, Manchester United and Arsenal play., has type Football Pitch

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Contained by (fb:location.location.containedby): part of Location schema, links to type Location

Example 2:
Question:
which country does irish language come from?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03x42 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03x42 fb:language.human_language.main_country ?x .
}

Using entities:
Irish, also known as Irish Gaelic, Irish language, Scottish Gaelic, アイリッシュ・ゲール, アイルランド・ゲール語 (fb:m.03x42): Irish, sometimes referred to as Gaelic or Irish Gaelic, is a Goi...nfavourably, as being a threat to all things English in Ireland., has type Human Language

Using properties:
Main Country (fb:language.human_language.main_country): part of Human Language schema, links to type Country

Example 3:
Question:
what cities does ryanair fly to?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01m_zd ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01m_zd fb:aviation.airline.airports_served ?y .
  ?y fb:aviation.airline_airport_presence.cities_served ?x .
}

Using entities:
Ryanair (fb:m.01m_zd): Ryanair Ltd. is an Irish low-cost airline headquartered in Sword...'s route network serves 30 countries in Europe and also Morocco., has type Airline

Using properties:
Airports Served (fb:aviation.airline.airports_served): links to type Airline Airport Presence, part of Airline schema
Destination Cities (fb:aviation.airline_airport_presence.cities_served): part of Airline Airport Presence schema, links to type City/Town/Village

[Assistant]
From the similar examples, it looks like the approach is to find the entity for the Ireland rugby union team, and then look for their home stadium or venues where they play. The question is about "where" Ireland play rugby union, which likely refers to their home stadium(s).

Step 1: Find the entity for the Ireland national rugby union team.
Step 2: Find properties related to stadium, venue, or location where they play.
Step 3: Construct a query to get the stadium(s) or venue(s).

Let's start by searching for the entity "Ireland national 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 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]
The most relevant entity for the Ireland national rugby union team is fb:m.03t3zk.

Next, I need to find properties related to where this team plays, such as stadium, venue, or home 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

[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 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 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 1 row and 1 column:
| venue                        |
| ---------------------------- |
| Aviva Stadium (fb:m.05h4fd2) |

[Tool]
Got 3 rows and 3 columns:
| venue                        | venueLabel         | city                         |
| ---------------------------- | ------------------ | ---------------------------- |
| Aviva Stadium (fb:m.05h4fd2) | Aviva Stadium (en) | Lansdowne Road (fb:m.020yhm) |
| Aviva Stadium (fb:m.05h4fd2) | Aviva Stadium (en) | Dublin (fb:m.02cft)          |
| Aviva Stadium (fb:m.05h4fd2) | Aviva Stadium (en) | Ballsbridge (fb:m.09s4k)     |

[Tool]
Got 3 rows and 4 columns:
| venue                        | venueLabel         | city                         | cityLabel           |
| ---------------------------- | ------------------ | ---------------------------- | ------------------- |
| 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)    |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?x WHERE {
  fb:m.0f8l9c fb:location.statistical_region.religions ?y .
  ?y fb:location.religion_percentage.religion ?x .
}

After examining the data, it appears that Freebase only lists "Catholicism" as a religion for France using the property for statistical region religions. No other religions are linked in this way for France.

Here is the SPARQL query that retrieves the religions associated with France in Freebase:

```sparql
SELECT DISTINCT ?x WHERE {
  fb:m.0f8l9c fb:location.statistical_region.religions ?y .
  ?y fb:location.religion_percentage.religion ?x .
}
```

The answer, according to Freebase, is:
Catholicism is the only religion listed as popular in France.

[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] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
what sports do people in france play?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0f8l9c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0f8l9c fb:sports.sports_team_location.teams ?x .
}

Using entities:
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

Using properties:
Teams (fb:sports.sports_team_location.teams): part of Sports Team Location schema, links to type Sports Team

Example 2:
Question:
what was king louis xiv religion?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.04pwg ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.04pwg fb:people.person.religion ?x .
}

Using entities:
Louis XIV of France, also known as Louis the Great, Louis-Dieudonné de France, le Roi Soleil (fb:m.04pwg): Louis XIV, known as Louis the Great or the Sun King, was a monar...rchical rule in France that endured until the French Revolution., has type Monarch

Using properties:
Religion (fb:people.person.religion): links to type Religion, part of Person schema

Example 3:
Question:
what religions are in russia?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.06bnz ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.06bnz fb:location.statistical_region.religions ?y .
  ?y fb:location.religion_percentage.religion ?x .
}

Using entities:
Russia, also known as Russian Federation, Россия (fb:m.06bnz): Russia, also officially known as the Russian Federation, is a co...descendants, the medieval state of Rus arose in the 9th century., has type Country

Using properties:
Religion (fb:location.religion_percentage.religion): part of Religion percentage schema, links to type Religion
Religions (fb:location.statistical_region.religions): links to type Religion percentage, part of Statistical region schema

[Assistant]
From the similar example for Russia, it appears that the property fb:location.statistical_region.religions links a country to a "religion percentage" entity, and then fb:location.religion_percentage.religion links that to the actual religion.

France's Freebase ID is fb:m.0f8l9c.

So, the structure should be:
fb:m.0f8l9c fb:location.statistical_region.religions ?y .
?y fb:location.religion_percentage.religion ?x .

To get the IRIs and optionally the labels of the religions, I'll write the following query.

[Tool]
Got 41 rows and 2 columns, showing the first 5 and last 5 rows below:
| x                         | xLabel            |
| ------------------------- | ----------------- |
| 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)     |

[Tool]
Got 1 row and 1 column:
| x                         |
| ------------------------- |
| Catholicism (fb:m.0c8wxp) |

[Tool]
Got 16,176 rows and 3 columns, showing the first 10 rows below:
| subject              | property                                                            | object                                                                    |
| -------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------- |
| France (fb:m.0f8l9c) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                   |
| France (fb:m.0f8l9c) | Key (fb:type.object.key)                                            | /authority/daylife/topic/05CB26p4rj62k                                    |
| France (fb:m.0f8l9c) | Name (fb:type.object.name)                                          | França (ca)                                                               |
| France (fb:m.0f8l9c) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%41%31%46%33%27>                            |
| France (fb:m.0f8l9c) | Notable for (fb:common.topic.notable_for)                           | fb:g.125gmtlk1                                                            |
| France (fb:m.0f8l9c) | Notable types (fb:common.topic.notable_types)                       | Country (fb:m.01mp)                                                       |
| France (fb:m.0f8l9c) | Description (fb:common.topic.description)                           | Ang Republikang Pranses o Pransi...rg, Alemanya, Suwisa, at Italya. (fil) |
| France (fb:m.0f8l9c) | Article (fb:common.topic.article)                                   | fb:m.0f8l9p                                                               |
| France (fb:m.0f8l9c) | Also known as (fb:common.topic.alias)                               | Cộng hòa Pháp (vi)                                                        |
| France (fb:m.0f8l9c) | Contains (fb:location.location.contains)                            | Paris (fb:m.05qtj)                                                        |
| ...                  | ...                                                                 | ...                                                                       |

[Tool]
Got 1,071 rows and 3 columns, showing the first 10 rows below:
| subject                                | property                                             | object       |
| -------------------------------------- | ---------------------------------------------------- | ------------ |
| United States of America (fb:m.09c7w0) | Religions (fb:location.statistical_region.religions) | fb:m.03q1lvh |
| United Kingdom (fb:m.07ssc)            | Religions (fb:location.statistical_region.religions) | fb:m.043trcf |
| India (fb:m.03rk0)                     | Religions (fb:location.statistical_region.religions) | fb:m.064sz2l |
| Germany (fb:m.0345h)                   | Religions (fb:location.statistical_region.religions) | fb:m.03h9bhj |
| Poland (fb:m.05qhw)                    | Religions (fb:location.statistical_region.religions) | fb:m.04gdk8d |
| California (fb:m.01n7q)                | Religions (fb:location.statistical_region.religions) | fb:m.04403r8 |
| Pennsylvania (fb:m.05tbn)              | Religions (fb:location.statistical_region.religions) | fb:m.04403kb |
| Berlin (fb:m.0156q)                    | Religions (fb:location.statistical_region.religions) | fb:m.04nw1pz |
| Indonesia (fb:m.03ryn)                 | Religions (fb:location.statistical_region.religions) | fb:m.03xf2_w |
| Canada (fb:m.0d060g)                   | Religions (fb:location.statistical_region.religions) | fb:m.05spzv4 |
| ...                                    | ...                                                  | ...          |

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

[Tool]
Got 1,041 rows and 3 columns, showing the first 10 rows below:
| subject       | property                                            | object                           |
| ------------- | --------------------------------------------------- | -------------------------------- |
| fb:m.08nkx3h  | Religion (fb:location.religion_percentage.religion) | Jewish people (fb:m.041rx)       |
| fb:m.03q1lvq  | Religion (fb:location.religion_percentage.religion) | Christianity (fb:m.01lp8)        |
| fb:m.010qt61r | Religion (fb:location.religion_percentage.religion) | Judaism (fb:m.03_gx)             |
| fb:m.011kz421 | Religion (fb:location.religion_percentage.religion) | Buddhism (fb:m.092bf5)           |
| fb:m.011kz40s | Religion (fb:location.religion_percentage.religion) | Islam (fb:m.0flw86)              |
| fb:m.04gdmq5  | Religion (fb:location.religion_percentage.religion) | New Age (fb:m.05g9_)             |
| fb:m.0113rxqw | Religion (fb:location.religion_percentage.religion) | Catholicism (fb:m.0c8wxp)        |
| fb:m.01228p50 | Religion (fb:location.religion_percentage.religion) | Jehovah's Witnesses (fb:m.0dtdq) |
| fb:m.0493b5d  | Religion (fb:location.religion_percentage.religion) | Shia Islam (fb:m.06pq6)          |
| fb:m.03q1lwl  | Religion (fb:location.religion_percentage.religion) | Hinduism (fb:m.03j6c)            |
| ...           | ...                                                 | ...                              |

[Assistant]
After examining the data, it appears that Freebase only lists "Catholicism" as a religion for France using the property for statistical region religions. No other religions are linked in this way for France.

Here is the SPARQL query that retrieves the religions associated with France in Freebase:

```sparql
SELECT DISTINCT ?x WHERE {
  fb:m.0f8l9c fb:location.statistical_region.religions ?y .
  ?y fb:location.religion_percentage.religion ?x .
}
```

The answer, according to Freebase, is:
Catholicism is the only religion listed as popular in France.