PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?county ?countyName WHERE {
  fb:m.01ymq1 fb:location.location.containedby ?county .
  ?county fb:type.object.name ?countyName .
  FILTER ( LANG( ?countyName ) = "en" || LANG( ?countyName ) = "" ) FILTER EXISTS {
    ?county fb:type.object.type fb:location.county
  }
}

Mt Lassen (Lassen Peak) is located in Shasta County, California. There is no specific city that directly contains Mt Lassen. Therefore, Mt Lassen is in Shasta County but not within any specific city.

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

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

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

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

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

[User] what city is mt lassen in?

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

[Tool]
Example 1:
Question:
where did barack obama went to school?

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

Using entities:
Barack Obama, also known as President Obama, President Barack Obama, President Barack Hussein Obama II, President Barack H. Obama, Obama (fb:m.02mjmr): Barack Hussein Obama II is the 44th and current President of the...mocratic Party primaries to receive the presidential nomination., Barack Hussein Obama II (/bəˈrɑːk huːˈseɪn oʊˈbɑːmə/; born Augus...ting the 13th District in the Illinois Senate from 1997 to 2004., has type US President

Using properties:
Institution (fb:education.education.institution): links to type Educational Institution, part of Education schema
Education (fb:people.person.education): links to type Education, part of Person schema

Example 2:
Question:
who plays kermit in the muppets movie?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0ds5_72 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0ds5_72 fb:film.film.starring ?y .
  ?y fb:film.performance.actor ?x .
  ?y fb:film.performance.character fb:m.04bsc .
}

Using entities:
Kermit the Frog, also known as Kerm, Kermie, Kermin, Kermit, Uncle Kermit (fb:m.04bsc): Kermit the Frog is Jim Henson's most famous Muppet creation, fir...tobiography" told from the perspective of the character himself., Kermit the Frog is a fictional character from the tv series Robot Chicken., has type Film character
The Muppets, also known as The Greatest Muppet Movie Ever Made, The Cheapest Muppet Movie Ever Made!, Os Muppets, Mupparna, Les Muppets (fb:m.0ds5_72): The Muppets is a 2011 American musical comedy film, and the firs...mber 2010 and was completed entirely in Los Angeles, California., The Muppets is a 2011 comedy film directed by James Bobin., has type Film

Using properties:
Performances (fb:film.film.starring): links to type Film performance, part of Film schema
Actor (fb:film.performance.actor): part of Film performance schema, links to type Film actor
Character (fb:film.performance.character): part of Film performance schema, links to type Film character

Example 3:
Question:
what language do people speak in costa rica?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01p8s ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01p8s fb:location.country.languages_spoken ?x .
}

Using entities:
Costa Rica, also known as Republic of Costa Rica (fb:m.01p8s): Costa Rica, officially the Republic of Costa Rica, is a country ...orld as of 2012, among the highest of any Latin American nation., has type Country

Using properties:
Languages spoken (fb:location.country.languages_spoken): links to type Human Language, part of Country schema

[Assistant] I have seen examples of how to query for locations of entities. Now I will search for the entity "Mt Lassen" to find its identifier in the knowledge graph.

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

[Assistant] The search for "Mt Lassen" returned several entities, but none explicitly labeled as a mountain or a natural landmark. The closest relevant entity might be "Lassen" (fb:m.010q13yy) which is related to an episode about California's Golden Parks including Lassen's landscape. I will check the properties of this entity to see if it is related to Mt Lassen and if it has a location or city property.

[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. Key (fb:type.object.key): part of Object schema, links to type Key
4. Series (fb:tv.tv_series_episode.series): part of TV Episode schema, links to type TV Program
5. Type (fb:type.object.type): part of Object schema, links to type Type
6. Season (fb:tv.tv_series_episode.season): part of TV Episode schema, links to type TV Season
7. Episode number (fb:tv.tv_series_episode.episode_number): part of TV Episode schema, links to type Integer
8. Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type

No other items found

[Assistant] The entity fb:m.010q13yy appears to be a TV episode and does not have a location or city property. I will try searching for "Mount Lassen" instead of "Mt Lassen" to see if there is a more relevant entity for the mountain itself.

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

[Assistant] The search for "Mount Lassen" did not return a clear entity for the mountain itself. I will try searching for "Lassen Volcanic National Park" since Mt Lassen is located within this park, to see if that entity has a city or location property.

[Tool]
Top 10 entity alternatives:
1. Lassen Volcanic National Park (fb:m.01ymnm): Lassen Volcanic National Park is a United States National Park i...orth. SR 89 passes immediately adjacent the base of Lassen Peak., has type Protected Site
2. Lassen Volcanic National Park (fb:m.07sz__r)
3. Lassen Volcanic National Park (fb:m.0blqwdl)
4. Park Headquarters, Lassen Volcanic National Park (fb:m.04zxvcn): The Headquarters Building at Lassen Volcanic National Park was b..., and building a new Administration and Visitor Center Building., has type Structure
5. Hiking Lassen Volcanic National Park (fb:m.06kwbpk): has type Book
6. lassen volcanic national park.noun.01 (fb:m.07sz__9)
7. Lassen Volcanic National Park (Calif.) (fb:m.0bp20jt)
8. Lassen Volcanic National Park & vicinity (fb:m.06hj556): has type Book
9. Lassen Volcanic National Park map 2006 (fb:m.03sn5nv)
10. Geothermal areas in Lassen Volcanic National Park (fb:m.01ymqg): Several groups of hot springs and fumaroles, remnants of former ... of steam and carbon dioxide, with minor amounts of other gases., has type Location

[Assistant] I found the entity Lassen Volcanic National Park (fb:m.01ymnm) which is likely the location of Mt Lassen. I will now check the properties of this entity to find if it has a city or location property.

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

No other items found

[Assistant] The Lassen Volcanic National Park entity has a property "Contains" (fb:location.location.contains) which might indicate locations within the park. I will check if this property can help find the city or nearby city for the park. Additionally, I will check if the park has a property related to "location" or "nearby city."

[Tool]
Top 10 property alternatives:
1. Area (fb:location.location.area): links to type Floating Point Number, part of Location schema
2. Name (fb:type.object.name): part of Object schema, links to type Text
3. Description (fb:common.topic.description): part of Topic schema, links to type Text
4. Geolocation (fb:location.location.geolocation): part of Location schema, links to type Geocode
5. Image (fb:common.topic.image): part of Topic schema, links to type Image
6. Key (fb:type.object.key): part of Object schema, links to type Key
7. Article (fb:common.topic.article): links to type Document, part of Topic schema
8. State (fb:base.usnationalparks.us_national_park.state): part of US National Park Service Site schema, links to type Location
9. Type (fb:type.object.type): part of Object schema, links to type Type
10. Contained by (fb:location.location.containedby): part of Location schema, links to type Location

No other items found

[Assistant] The Lassen Volcanic National Park entity has a "State" property (fb:base.usnationalparks.us_national_park.state) but no direct city property. I will try to find the city that contains or is contained by the park using the "Contained by" property (fb:location.location.containedby) to see if it links to a city.

[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] The Lassen Volcanic National Park is contained by Shasta County (fb:m.0l30v). I will now check if Shasta County is contained by or related to a city.

[Tool]
Got 1 row and 3 columns:
| subject                    | property                                        | object                  |
| -------------------------- | ----------------------------------------------- | ----------------------- |
| Shasta County (fb:m.0l30v) | Contained by (fb:location.location.containedby) | California (fb:m.01n7q) |

[Assistant] Shasta County is contained by California (fb:m.01n7q), which is a state. I will now check if there is a city within Shasta County that might be the city for Mt Lassen. I will look for locations contained by Shasta County.

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

[Assistant] There are several cities contained by Shasta County. One of them is "Redding" (fb:m.0r6rq), which is a well-known city in Shasta County. I will check if Lassen Peak (Mt Lassen) is related to Redding or any other city in Shasta County. I will check the properties of Lassen Peak (fb:m.01ymq1) to find if it has a city or location property.

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

No other items found

[Assistant] The Lassen Peak entity (fb:m.01ymq1) has a "Contained by" property (fb:location.location.containedby) which might indicate the location or city it is in. I will check the value of this property 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] Lassen Peak (Mt Lassen) is contained by Shasta County (fb:m.0l30v) and Lassen Volcanic National Park (fb:m.01ymnm), but there is no direct city mentioned. Since Shasta County contains the city Redding (fb:m.0r6rq), which is a major city in the area, it is reasonable to say Mt Lassen is in or near the city of Redding. I will now create a SPARQL query to return the city or cities contained by Shasta County, which is the county containing Mt Lassen.

[Tool]
Got 169 rows and 2 columns, showing the first 5 and last 5 rows below:
| city                     | cityName                  |
| ------------------------ | ------------------------- |
| Hat Creek (fb:m.026m563) | Hat Creek (en)            |
| Hat Creek (fb:m.026m563) | Hat Creek (es)            |
| Hat Creek (fb:m.026m563) | Hat Creek (hr)            |
| Hat Creek (fb:m.026m563) | Хат Крик (sr)             |
| Platina (fb:m.026m5d9)   | Platina (en)              |
| ...                      | ...                       |
| Shasta Lake (fb:m.0r6sg) | Шаста Лејк (sr)           |
| Shasta Lake (fb:m.0r6sg) | شاستا لاكي (ar)           |
| Shasta Lake (fb:m.0r6sg) | شاستا لیک، کالیفرنیا (fa) |
| Shasta Lake (fb:m.0r6sg) | 沙斯塔湖 (zh)                 |
| Shasta Lake (fb:m.0r6sg) | 沙斯塔湖 (zh-Hant)            |

[Assistant] Mt Lassen (Lassen Peak) is located in Shasta County. There are multiple cities in Shasta County. One notable city is Redding, but there are many others as well. Since the question asks for the city Mt Lassen is in, the best answer is that Mt Lassen is in Shasta County, which contains many cities including Redding. Here is a SPARQL query that returns cities in Shasta County, the county containing Mt Lassen.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The answer correctly identifies that Mt Lassen (Lassen Peak) is located in Shasta County, California, and that Shasta County contains multiple cities including Redding. However, the SPARQL query does not directly link Mt Lassen to a specific city. Instead, it retrieves all cities contained in Shasta County, which is a broader location. The query returns many cities, not a single city where Mt Lassen is located. To improve, the query should attempt to find a more direct spatial or administrative relationship between Mt Lassen and a city, if available, or clarify that Mt Lassen is in Shasta County, which contains multiple cities. Also, the query returns multiple language labels for cities, which is redundant; it should filter or limit to one language (e.g., English) for clarity.

[Assistant]
Thank you for the feedback. I understand that the query should focus on finding a more direct link between Mt Lassen (Lassen Peak) and a specific city, or clarify that it is in Shasta County which contains multiple cities. Also, the query should limit labels to English only to avoid redundancy.

I will now refine the SPARQL query to:
- Return only the English labels for cities.
- Clarify that Mt Lassen is in Shasta County.
- Return the cities in Shasta County as possible cities related to Mt Lassen, but with English labels only.

I will proceed with this refined query.

[Tool]
Got 93 rows and 2 columns, showing the first 5 and last 5 rows below:
| city                       | cityName         |
| -------------------------- | ---------------- |
| Hat Creek (fb:m.026m563)   | Hat Creek (en)   |
| Platina (fb:m.026m5d9)     | Platina (en)     |
| Igo (fb:m.026m5h1)         | Igo (en)         |
| Old Station (fb:m.026m6mw) | Old Station (en) |
| Whitmore (fb:m.027jmcj)    | Whitmore (en)    |
| ...                        | ...              |
| Cassel (fb:m.06bkd6)       | Cassel (en)      |
| Shasta (fb:m.0grr_l)       | Shasta (en)      |
| Anderson (fb:m.0r6nl)      | Anderson (en)    |
| Redding (fb:m.0r6rq)       | Redding (en)     |
| Shasta Lake (fb:m.0r6sg)   | Shasta Lake (en) |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The answer correctly identifies that Mt Lassen (Lassen Peak) is located in Shasta County, California, and lists cities within Shasta County as possible nearby cities. However, the SPARQL query does not directly link Mt Lassen to any city, only to the county. The question asks specifically for the city Mt Lassen is in, which is not directly answered. The query returns many cities in Shasta County, which may not all be relevant or close to Mt Lassen. To improve, the query should attempt to find a more direct spatial or administrative relationship between Mt Lassen and a city, if available. If no direct city is linked, the answer should clarify that Mt Lassen is in Shasta County and not within any specific city, rather than listing many cities in the county as possible answers.

[Assistant]
Thank you for the additional feedback. I understand that the question specifically asks for the city Mt Lassen is in, and the current approach only links it to Shasta County, not a specific city. Since the knowledge graph does not provide a direct city for Mt Lassen, the best answer is to clarify that Mt Lassen is located in Shasta County and not within any specific city.

I will now create a SPARQL query that:
- Confirms Mt Lassen (Lassen Peak) is contained by Shasta County.
- Checks if there is any city that directly contains Mt Lassen.
- If no city is found, the answer will clarify that Mt Lassen is in Shasta County but not in any specific city.

I will first check if there is any city that directly contains Mt Lassen.

[Tool] False

[Assistant] There is no city that directly contains Mt Lassen (Lassen Peak). I will now provide the final answer that Mt Lassen is located in Shasta County and not within any specific city.

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?venue ?venueLabel WHERE {
  fb:m.03t3zk fb:sports.sports_team.venue ?venueRelationship .
  ?venueRelationship fb:sports.team_venue_relationship.venue ?venue .
  OPTIONAL {
    ?venue rdfs:label ?venueLabel .
    FILTER ( lang( ?venueLabel ) = 'en' )
  }
}

The Ireland national rugby union team plays rugby union at the Aviva Stadium.

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

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

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

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

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

[User] where do ireland play rugby union?

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

[Tool]
Example 1:
Question:
what do they speak in austria?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0h7x ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0h7x fb:location.country.languages_spoken ?x .
}

Using entities:
Austria, also known as Österreich, Republic of Austria, Ostarrichi, Oesterreich, Autriche (fb:m.0h7x): Austria, officially the Republic of Austria, is a federal republ...ority of the Emperor, used Protestantism as a flag of rebellion., has type Country

Using properties:
Languages spoken (fb:location.country.languages_spoken): links to type Human Language, part of Country schema

Example 2:
Question:
what movies has michael clarke duncan been in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02lkcc ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02lkcc fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
}

Using entities:
Michael Clarke Duncan, also known as 마이클 클락 던칸, Papa Bear, Michael Duncan Clarke, Hollywood, Michael Duncan (fb:m.02lkcc): Michael Clarke Duncan was an American actor, best known for his ... in works such as Brother Bear, Kung Fu Panda and Green Lantern., has type Film actor

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film

Example 3:
Question:
who does tim howard play for club?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.026s3n ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.026s3n fb:base.schemastaging.athlete_extra.salary ?y .
  ?y fb:base.schemastaging.athlete_salary.team ?x .
}

Using entities:
Tim Howard, also known as T-Ho, Timothy Matthew Howard, Тімоті Метью Говард (fb:m.026s3n): Timothy Matthew "Tim" Howard is an American soccer player who pl... World Cups; the team reached the Round of 16 on both occasions., has type Football player

Using properties:
Salary (fb:base.schemastaging.athlete_extra.salary): part of Athlete extra schema, links to type Athlete salary
Team (fb:base.schemastaging.athlete_salary.team): links to type Sports team extra, part of Athlete salary schema

[Assistant]
From the examples, I see that to find where a sports team plays, we need to identify the entity for the team (Ireland rugby union team) and then find a property related to the location or venue where they play.

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

[Tool]
Top 10 entity alternatives:
1. Ireland national rugby union team, also known as Ireland National Men's Rugby Football Union Team, Ireland National Mens Rugby Football Union Team, Ireland National Men's Rugby Union, Ireland National Mens Rugby Union, Ireland National Men's Rugby Union Team (fb:m.03t3zk): The Ireland national rugby union team represents the island of I... world, and led Ireland to only their second Grand Slam in 2009., has type Sports Team
2. Ireland Wolfhounds, also known as Ireland A Rugby Union Team (fb:m.02r92r4): The Ireland Wolfhounds are the second national rugby union team ... and 2008. They were renamed Ireland Wolfhounds in January 2010., has type Sports Team
3. Ireland national rugby union team (fb:m.05_5tk6): The Ireland national rugby union sevens team has previously comp...for the 2016 Olympics and joins the Sevens World Series by 2017., has type Sports Team
4. Ireland women's national rugby union team (fb:m.02z6rqf): The Ireland rugby union team represents both the Republic of Ireland and Northern Ireland in the rugby union., has type Sports Team
5. Ireland national under-20 rugby union team (fb:m.09g94cq): The Ireland under 20 rugby team was formed in 2006. In 2007, the...20s Championship. The current coach of the team is Mike Ruddock., has type Sports Team
6. Ireland national schoolboy rugby union team (fb:m.03qnhct): The Irish Schoolboys rugby union team is the national team for s...alent Ireland under 18 clubs side that play international rugby., has type Sports Team
7. Ireland women's national rugby union team (fb:m.0k997gh): The Ireland women's national sevens team represents Ireland in R...am qualified to the 2016 Final Olympic Qualification Tournament., has type Sports Team
8. Ireland national rugby union team tours (fb:m.04n5n24): This article is a list of tours by the Ireland national rugby union team, has type Sports Team
9. Auckland rugby union team, also known as Auckland representative rugby union team, Auckland rugby union team, Auckland Rugby Football Union, Auckland 1st XV (fb:m.0dh_x2): The Auckland rugby union team is the top representative rugby un...g Patrick Tuipulotu in 2014. Auckland is coached by Paul Feeney., has type Organization
10. Canterbury rugby union team, also known as Canterbury representative rugby union team (fb:m.06zsqpb): has type Sports Team

[Assistant]
The entity "Ireland national rugby union team" (fb:m.03t3zk) seems to be the correct one representing the Ireland rugby union team.

Step 2: Search for properties of the entity "Ireland national rugby union team" related to where they play or their home venue.

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

No other items found

[Assistant]
The property "Venue" (fb:sports.sports_team.venue) seems to be the relevant property that indicates where the Ireland national rugby union team plays.

Step 3: Construct a SPARQL query to find the venue(s) where the Ireland national rugby union team plays.

[Tool]
Got 1 row and 2 columns:
| venue        | venueLabel |
| ------------ | ---------- |
| fb:m.0wz2kl3 |            |

[Assistant]
The Ireland national rugby union team plays at the venue with the identifier fb:m.0wz2kl3. There is no English label available for this venue in the results.

Step 4: Let's find the label or name of the venue fb:m.0wz2kl3 to provide a more informative answer.

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[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) |

[Assistant]
The venue relationship entity fb:m.0wz2kl3 links the Ireland national rugby union team to the venue Aviva Stadium (fb:m.05h4fd2).

Step 5: Confirm the label of the venue Aviva Stadium.

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

[Assistant]
The venue where the Ireland national rugby union team plays is called "Aviva Stadium" in English.

I will now provide the final answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The system correctly identified the Ireland national rugby union team and retrieved its venue using appropriate properties from the Freebase knowledge graph. The SPARQL query returns the venue's identifier and its English label, which is the Aviva Stadium. The answer is accurate and complete for the user's question about where Ireland plays rugby union.


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

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

The knowledge graph lists Catholicism as a popular religion in France. No other religions are listed as popular in the data available.

[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 examples.

[Tool]
Example 1:
Question:
what is the local language of israel?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03spz ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03spz fb:location.country.languages_spoken ?x .
}

Using entities:
Israel, also known as State of Israel (fb:m.03spz): Israel, officially the State of Israel, is a country in Western ...itish Mandate for Palestine was set for midnight on 14 May 1948., has type Country

Using properties:
Languages spoken (fb:location.country.languages_spoken): links to type Human Language, part of Country schema

Example 2:
Question:
what language do people speak in costa rica?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01p8s ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01p8s fb:location.country.official_language ?x .
}

Using entities:
Costa Rica, also known as Republic of Costa Rica (fb:m.01p8s): Costa Rica, officially the Republic of Costa Rica, is a country ...orld as of 2012, among the highest of any Latin American nation., has type Country

Using properties:
Official Language (fb:location.country.official_language): links to type Human Language, part of Country schema

Example 3:
Question:
who speaks arabic language?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0jzc ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0jzc fb:language.human_language.main_country ?x .
}

Using entities:
Arabic Language, also known as اللغة العربية, عربي, /m/0jzc, Arabic (fb:m.0jzc): Arabic /ˈærəbɪk/ is the Classical Arabic language of the 6th cen...her as a single language for political and/or religious reasons., has type Human Language

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

[Assistant]
The examples show queries about languages spoken or official languages in countries, but not directly about religions popular in a country. For the question "what religions are popular in France?", we need to find entities related to France and properties related to religion or religions practiced in France.

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

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

[Assistant] The entity for France as a country is fb:m.0f8l9c (France, also known as French Republic). Next, I will search for properties related to religion for the entity France (fb:m.0f8l9c).

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

No other items found

[Assistant] The property "Religions" (fb:location.statistical_region.religions) seems to be the relevant property for religions in France. Now I will write a SPARQL query to get the religions popular in France using this property.

[Tool]
Got 1 row and 2 columns:
| religion     | religionLabel |
| ------------ | ------------- |
| fb:m.03q9tjt |               |

[Assistant] The query returned one religion entity (fb:m.03q9tjt) but without a label. I will now try to get the label for this religion entity separately to identify it.

[Tool] Got no rows and 1 columns

[Assistant] The religion entity fb:m.03q9tjt does not have an English label. I will try to get any label for this entity without language filtering.

[Tool] Got no rows and 1 columns

[Assistant] The religion entity fb:m.03q9tjt does not have any label in the knowledge graph. I will now try to get the objects of the property fb:location.statistical_region.religions for France to see if there are more religions listed.

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

[Assistant] There is only one religion entity linked to France via the property fb:location.statistical_region.religions, but it has no label. I will now try to find other properties related to religion for France to see if there are more relevant properties.

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

No other items found

[Assistant] There are no other properties related to religion for France besides fb:location.statistical_region.religions. Since the returned religion entity has no label, I will try to find the types or properties of this religion entity to understand what it represents.

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

[Assistant]
The entity fb:m.03q9tjt is of type Religion percentage and it has a property Religion (fb:location.religion_percentage.religion) with the object Catholicism (fb:m.0c8wxp). This suggests that the entity represents a percentage of a religion in France, specifically Catholicism.

I will now query for all religion percentages for France and get the religions associated with them.

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

[Assistant] The query returned Catholicism as a popular religion in France. I will now try to find if there are other religion percentages for France to see if more religions are listed.

[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] There are many religion entities in the knowledge graph. I will now try to find all religion percentages for France to see if there are more religions listed for France.

[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 |
| ...                                    | ...                                                  | ...          |

[Assistant] I see that the property fb:location.statistical_region.religions links a country to a religion percentage entity. I will now query for all religion percentages for France and get the religions associated with them, along with their percentage values if available.

[Tool]
Got 1 row and 3 columns:
| religion                  | religionLabel    | percentage |
| ------------------------- | ---------------- | ---------- |
| Catholicism (fb:m.0c8wxp) | Catholicism (en) |            |

[Assistant] The knowledge graph only lists Catholicism as a popular religion in France, but it does not provide a percentage value. I will now finalize the answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves religions popular in France from the knowledge graph, returning the religion and its label. The answer accurately reflects the query result, listing Catholicism as the popular religion in France according to the data available. The query uses appropriate properties and entities, and the result is consistent with the knowledge graph's content. No further refinement is necessary unless additional data sources are available.


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

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

Joan Crawford died of pancreatic cancer and heart attack.

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

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

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

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

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

[User] what did joan crawford died of?

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

[Tool]
Example 1:
Question:
who owns the toronto maple leafs?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0j6tr ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0j6tr fb:sports.professional_sports_team.owner_s ?x .
}

Using entities:
Toronto Maple Leafs, also known as The Leafs, (fb:m.0j6tr): The Toronto Maple Leafs is a professional ice hockey team based ...ought between championships is currently the longest in the NHL., has type Professional Sports Team

Using properties:
Owner(s) (fb:sports.professional_sports_team.owner_s): part of Professional Sports Team schema, links to type Sports Team Owner

Example 2:
Question:
what time zone am i in missouri?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.04ych ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.04ych fb:location.location.time_zones ?x .
}

Using entities:
Missouri, also known as MO, Show-Me State (fb:m.04ych): Missouri is a state located in the Midwestern United States. It ...ce of the Ohio River with the Mississippi north of the Bootheel., has type US State

Using properties:
Time zone(s) (fb:location.location.time_zones): links to type Time Zone, part of Location schema

Example 3:
Question:
what college did ron jaworski go to?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.042n7s ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.042n7s fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:common.topic.notable_types fb:m.01y2hnl .
}

Using entities:
College/University, also known as College, University (fb:m.01y2hnl): The College/University type is used for institutions that offer ...mation, please see the Freebase wiki page on College/University.
Ron Jaworski, also known as Jaws, The Polish Rifle, Ronald Vincent "Ron" Jaworski, Ronald Vincent Jaworski, Ron (fb:m.042n7s): Ronald Vincent "Ron" Jaworski is a former American football quar...adelphia 76ers player Doug Collins prior to the 1981 Super Bowl., has type American football player

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Institution (fb:education.education.institution): links to type Educational Institution, part of Education schema
Education (fb:people.person.education): links to type Education, part of Person schema

[Assistant] The examples show how to find information about a person using their entity and properties related to death or cause of death. Now, I will search for the entity "Joan Crawford" in the Freebase knowledge graph to get her identifier.

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

[Assistant] The most relevant entity for Joan Crawford is fb:m.0cgbf, which is a film actor. Next, I will search for properties related to death or cause of death for this entity.

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

No other items found

[Assistant] The property "Cause of death" (fb:people.deceased_person.cause_of_death) is the most relevant to answer the question about what Joan Crawford died of. I will now construct a SPARQL query to retrieve the cause of death for Joan Crawford (fb:m.0cgbf).

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

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

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the causes of death for Joan Crawford from the Freebase knowledge graph. It returns both pancreatic cancer and heart attack, which matches the provided answer. The query also optionally retrieves English labels for the causes of death, enhancing readability. The query follows the rules by returning identifiers and labels in an optional clause. The answer is complete and accurate based on the query results. No further refinement is necessary.


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

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

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

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

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

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

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

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

[User] where did bristol palin go to school?

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

[Tool]
Example 1:
Question:
what does obama have a degree in?

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

Using entities:
Barack Obama, also known as President Obama, President Barack Obama, President Barack Hussein Obama II, President Barack H. Obama, Obama (fb:m.02mjmr): Barack Hussein Obama II is the 44th and current President of the...mocratic Party primaries to receive the presidential nomination., Barack Hussein Obama II (/bəˈrɑːk huːˈseɪn oʊˈbɑːmə/; born Augus...ting the 13th District in the Illinois Senate from 1997 to 2004., has type US President

Using properties:
Major/Field Of Study (fb:education.education.major_field_of_study): links to type Field of study, part of Education schema
Education (fb:people.person.education): links to type Education, part of Person schema

Example 2:
Question:
where did jerome david salinger died?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.041_y ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.041_y fb:people.deceased_person.place_of_death ?x .
}

Using entities:
J. D. Salinger, also known as J.D. Salinger, Jerome David "J. D." Salinger, Jerome David Salinger (fb:m.041_y): Jerome David "J. D." Salinger was an American writer who won acc... Salinger became reclusive, publishing new work less frequently., has type Author

Using properties:
Place of death (fb:people.deceased_person.place_of_death): part of Deceased Person schema, links to type Location

Example 3:
Question:
who plays hermione granger?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0c8kc ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0c8kc fb:film.film_character.portrayed_in_films ?y .
  ?y fb:film.performance.actor ?x .
}

Using entities:
Hermione Granger, also known as Hermione, Hermione Jean Granger, Hermione Jane Granger, Hermione Granger Weasley (fb:m.0c8kc): Hermione Jean Granger is a fictional character in J.K. Rowling's...s her at a younger age, with her insecurity and fear of failure., has type Film character

Using properties:
Portrayed in films (fb:film.film_character.portrayed_in_films): links to type Film performance, part of Film character schema
Actor (fb:film.performance.actor): part of Film performance schema, links to type Film actor

[Assistant]
From the examples, we see that to find where a person went to school, we can look for the property related to education or schooling of the person. The example with Barack Obama used the property fb:people.person.education to find education details.

Next, I will search for the entity "Bristol Palin" in the knowledge graph to get the correct identifier for her.

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

[Assistant] The entity for Bristol Palin is fb:m.04jg1kh. Now I will search for properties related to education or school for this entity to find the relevant property that indicates where she went to school.

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

No other items found

[Assistant] The property fb:people.person.education seems to be the relevant property for education or schooling of Bristol Palin. I will now query for the objects of this property for Bristol Palin to find where she went to school.

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

[Assistant] Bristol Palin has three education entries, but they do not have labels. I will now look at the details of these education entities to find out which one corresponds to a school or educational institution. I will start by looking at the properties of one of these education entities, for example, fb:m.0byl4zl.

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

[Assistant]
The education entity fb:m.0byl4zl corresponds to Bristol Palin's education at Wasilla High School (fb:m.04jdv0r). This answers the question about where Bristol Palin went to school.

I will now prepare the final SPARQL query to retrieve this information and provide the answer.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly retrieves the schools Bristol Palin attended, returning three schools: Juneau-Douglas High School, Wasilla High School, and West Anchorage High School. However, the answer provided only mentions Wasilla High School, which is incomplete given the query results. The answer should reflect all schools found or clarify if the question asks for the main or most notable school. To improve, either update the answer to include all schools or refine the query to filter for the most relevant school if possible.

[Assistant] Thank you for the feedback. I will refine the answer to include all schools that Bristol Palin attended according to the query results. The SPARQL query already retrieves all schools linked to her education, so I will update the answer accordingly.

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

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the schools Bristol Palin attended by using the education property and the institution property. The query also optionally retrieves the English labels of the schools, which is helpful for readability. The execution result matches the human-readable answer, listing Juneau-Douglas High School, Wasilla High School, and West Anchorage High School. The query follows the rules by returning the actual identifiers and labels optionally. No further refinement is necessary.