PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?containedBy ?label WHERE {
  fb:m.029jpy fb:location.location.containedby ?containedBy .
  OPTIONAL {
    ?containedBy rdfs:label ?label .
    FILTER ( LANG( ?label ) = 'en' )
  }
  {
    SELECT ?containedBy ( COUNT( ?subRegion ) AS ?count ) WHERE {
      fb:m.029jpy fb:location.location.containedby ?containedBy .
      ?containedBy fb:location.location.contains ?subRegion .
    }
    GROUP BY ?containedBy
  }
}
ORDER BY ASC ( ?count )
LIMIT 1

New England is part of the Northeastern United States.

[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 part of the country is new england?

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

[Tool]
Example 1:
Question:
what games did bungie make?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.09h57 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.09h57 fb:cvg.cvg_developer.games_developed ?x .
}

Using entities:
Bungie, also known as Bungie Studios, Bungie Software Products Corporation, Bungie Software, Bungie Inc., Bungie (fb:m.09h57): Bungie, Inc. is an American video game developer located in Bell... and statistics-tracking and integration with many of its games., has type Video Game Developer

Using properties:
Games Developed (fb:cvg.cvg_developer.games_developed): part of Video Game Developer schema, links to type Video game

Example 2:
Question:
what year did the mets win their first world series?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.05g76 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.05g76 fb:sports.sports_team.championships ?x .
  ?x fb:sports.sports_championship_event.championship fb:m.0fjp3 .
  ?x fb:time.event.start_date ?sk0 .
}
ORDER BY xsd:datetime ( ?sk0 )
LIMIT 1

Using entities:
New York Mets, also known as The Amazin's, The Metropolitans, The Miracle Mets (fb:m.05g76): The New York Mets are an American professional baseball team bas...is considered one of the biggest upsets in World Series history., has type Professional Sports Team
World Series, also known as Baseball World Series, The Series, The MLB World Series, MLB World Series, Major League Baseball World Series (fb:m.0fjp3): The World Series is the annual championship series of North Amer...x have played in 12 and won 8, including the first World Series., has type Sports League Championship

Using properties:
Championship (fb:sports.sports_championship_event.championship): part of Sports League Championship Event schema, links to type Sports League Championship
Championships (fb:sports.sports_team.championships): links to type Sports League Championship Event, part of Sports Team schema
Start date (fb:time.event.start_date): links to type Date/Time, part of Event schema

Example 3:
Question:
what did copernicus invented?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01vvm4 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01vvm4 fb:base.argumentmaps.innovator.original_ideas ?x .
}

Using entities:
Nicolaus Copernicus, also known as Mikołaj Kopernik, Niclas Koppernigk, Nicolò Copernico, Nikolaus Kopernikus (fb:m.01vvm4): Nicolaus Copernicus was a Renaissance mathematician and astronom...ormulated a version of what later became known as Gresham's law., has type Astronomer

Using properties:
Original ideas (fb:base.argumentmaps.innovator.original_ideas): links to type Original idea, part of Innovator schema

[Assistant] Based on the examples, we need to identify the entity for New England and then find the property that describes its location or region within the country. Let's start by searching for the entity "New England".

[Tool]
Top 10 entity alternatives:
1. New England (fb:m.029jpy): New England comprises six states of the Northeastern United Stat...ment, which were termed the "Intolerable Acts" by the colonists., has type Region
2. New England, also known as New England, North Dakota, Hettinger County / New England city (fb:m.0yp7n): New England is a city in Hettinger County, North Dakota, United ... Buttes near New England is a distinguishing symbol of the town., has type City/Town/Village
3. New England (fb:m.01r338n): New England was an American rock band that was mainly active fro..." also received some airplay at the decline of the first single., has type Musical Group
4. A New England, also known as A New England (live), New England (fb:m.0160rkj): has type Musical Recording
5. New England (fb:m.01lfnxj): New England is the seventh studio album by rock band Wishbone As...d see further exploration from Wishbone Ash on their next album., has type Musical Album
6. New England (fb:m.01vwfh): New England or New England North West is the name given to a gen...regions in the north of the state of New South Wales, Australia., has type Location
7. New England (fb:m.037sb0w): has type Musical Release
8. New England (fb:m.0f_5skj): has type Musical Release
9. New England (fb:m.01r337s): New England is the debut album by the American rock band New Eng...t no notice, but has since become a sought after CD by AOR fans., has type Musical Album
10. New England, West Virginia, also known as New England, New England, West Virginia (fb:m.04c7q6s): New England is an unincorporated community in Wood County, West ...11 near the Ohio River, 8.9 miles west-southwest of Parkersburg., has type City/Town/Village

[Assistant] The top result is the New England region in the United States, which is what we're looking for. Now let's look for a property that describes the location or region of New England. We can try searching for properties related to "location" or "region" for the entity "New England".

[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. entry (fb:user.tsegaran.random.taxonomy_subject.entry): part of Taxonomy Subject schema, links to type Taxonomy Entry
7. Teams (fb:sports.sports_team_location.teams): part of Sports Team Location schema, links to type Sports Team
8. Article (fb:common.topic.article): links to type Document, part of Topic schema
9. Rides (fb:amusement_parks.ride_theme.rides): part of Amusement Ride Theme schema, links to type Amusement Ride
10. Type (fb:type.object.type): part of Object schema, links to type Type

No other items found

[Assistant] The property "Geolocation" seems relevant for describing the location of New England. However, it might not directly give us the part of the country. Let's check if there is a property that specifically describes the region or part of the country. We can try searching for properties related to "region" or "part of the country" for the entity "New England".

[Tool]
Top 10 property alternatives:
1. Time zone(s) (fb:location.location.time_zones): links to type Time Zone, part of Location schema
2. entry (fb:user.tsegaran.random.taxonomy_subject.entry): part of Taxonomy Subject schema, links to type Taxonomy Entry
3. Teams (fb:sports.sports_team_location.teams): part of Sports Team Location schema, links to type Sports Team
4. Partially contains (fb:location.location.partially_contains): part of Location schema, links to type Location
5. Partially contains (fb:location.location.partiallycontains): links to type Partial containment relationship, part of Location schema
6. Contains (fb:location.location.contains): part of Location schema, links to type Location
7. Population (fb:location.statistical_region.population): part of Statistical region schema, links to type Dated Integer
8. Image (fb:common.topic.image): part of Topic schema, links to type Image
9. Key (fb:type.object.key): part of Object schema, links to type Key
10. Contained by (fb:location.location.containedby): part of Location schema, links to type Location

No other items found

[Assistant]
The property "Contained by" seems relevant for describing the region or part of the country that New England is a part of. Let's construct a SPARQL query to find the entity that New England is contained by.

Here is the initial SPARQL query:

```sparql
SELECT ?containedBy WHERE {
  fb:m.029jpy fb:location.location.containedby ?containedBy .
}
```

Let's execute this query to see the results.

[Tool]
Got 3 rows and 1 column:
| containedBy                              |
| ---------------------------------------- |
| Northeastern United States (fb:m.027rjr) |
| Eastern United States (fb:m.02jwvm)      |
| United States of America (fb:m.09c7w0)   |

[Assistant]
The results show that New England is contained by the Northeastern United States, Eastern United States, and the United States of America. Since the question asks for the part of the country, the most specific and relevant answer is the Northeastern United States.

To provide a clear and concise answer, we can use the `rdfs:label` property to get the label of the entity.

Here is the refined SPARQL query:

```sparql
SELECT ?containedBy ?label WHERE {
  fb:m.029jpy fb:location.location.containedby ?containedBy .
  OPTIONAL { ?containedBy rdfs:label ?label . }
}
```

Let's execute this query to get the label of the contained by entity.

[Tool]
Got 88 rows and 2 columns, showing the first 5 and last 5 rows below:
| containedBy                              | label                            |
| ---------------------------------------- | -------------------------------- |
| Northeastern United States (fb:m.027rjr) | Amerika Serikat Timur Laut (id)  |
| Northeastern United States (fb:m.027rjr) | Đông Bắc Hoa Kỳ (vi)             |
| Northeastern United States (fb:m.027rjr) | Északkelet-Egyesült Államok (hu) |
| Northeastern United States (fb:m.027rjr) | Nord-est dels Estats Units (ca)  |
| Northeastern United States (fb:m.027rjr) | Nord-Est des États-Unis (fr)     |
| ...                                      | ...                              |
| United States of America (fb:m.09c7w0)   | สหรัฐอเมริกา (th)                |
| United States of America (fb:m.09c7w0)   | 미국 (ko)                          |
| United States of America (fb:m.09c7w0)   | アメリカ合衆国 (ja)                     |
| United States of America (fb:m.09c7w0)   | 美国 (zh)                          |
| United States of America (fb:m.09c7w0)   | 美國 (zh-Hant)                     |

[Assistant]
The results include multiple labels for the same entities in different languages. To get the English label, we can filter the results to only include labels in English.

Here is the updated SPARQL query:

```sparql
SELECT ?containedBy ?label WHERE {
  fb:m.029jpy fb:location.location.containedby ?containedBy .
  OPTIONAL { ?containedBy rdfs:label ?label . FILTER(LANG(?label) = 'en') }
}
```

Let's execute this query to get the English label of the contained by entity.

[Tool]
Got 3 rows and 2 columns:
| containedBy                              | label                           |
| ---------------------------------------- | ------------------------------- |
| Northeastern United States (fb:m.027rjr) | Northeastern United States (en) |
| Eastern United States (fb:m.02jwvm)      | Eastern United States (en)      |
| United States of America (fb:m.09c7w0)   | United States of America (en)   |

[Assistant]
The results now clearly show the English labels for the entities that contain New England. The most specific and relevant answer to the question "What part of the country is New England?" is "Northeastern United States."

Here is the final SPARQL query and answer:

```sparql
SELECT ?containedBy ?label WHERE {
  fb:m.029jpy fb:location.location.containedby ?containedBy .
  OPTIONAL { ?containedBy rdfs:label ?label . FILTER(LANG(?label) = 'en') }
}
```

Answer: New England is part of the **Northeastern United States**.

Let's finalize this with the `answer` function.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The answer is correct, but the SPARQL query returns more than one result, which might be confusing. The most specific answer is that New England is part of the Northeastern United States. We should refine the query to only return the most specific region that contains New England.

[Assistant]
Thank you for the feedback. To refine the query to return only the most specific region that contains New England, we can add a filter to prioritize the most specific region. In this case, we can assume that the most specific region is the one with the smallest number of contained locations.

Here is the refined SPARQL query:

```sparql
SELECT ?containedBy ?label WHERE {
  fb:m.029jpy fb:location.location.containedby ?containedBy .
  OPTIONAL { ?containedBy rdfs:label ?label . FILTER(LANG(?label) = 'en') }
  FILTER NOT EXISTS { ?containedBy fb:location.location.containedby ?moreSpecificRegion . }
}
```

This query will return only the most specific region that contains New England. Let's execute this query to ensure it returns the correct result.

[Tool] Got no rows and 2 columns

[Assistant]
It seems that the query did not return any results, which suggests that the filter condition might be too strict. Let's try a different approach to ensure we get the most specific region.

We can use a subquery to count the number of regions each contained region contains and then select the one with the smallest count. Here is the refined SPARQL query:

```sparql
SELECT ?containedBy ?label WHERE {
  fb:m.029jpy fb:location.location.containedby ?containedBy .
  OPTIONAL { ?containedBy rdfs:label ?label . FILTER(LANG(?label) = 'en') }
  {
    SELECT ?containedBy (COUNT(?subRegion) AS ?count)
    WHERE {
      fb:m.029jpy fb:location.location.containedby ?containedBy .
      ?containedBy fb:location.location.contains ?subRegion .
    }
    GROUP BY ?containedBy
  }
  ORDER BY ASC(?count)
  LIMIT 1
}
```

This query will return the most specific region that contains New England by counting the number of sub-regions each region contains and selecting the one with the smallest count. Let's execute this query to ensure it returns the correct result.

[Tool]
Failed to call function execute:
failed to parse input: parse error at position 371 for token ORDER with content 'ORDER' (the input most likely does not follow the grammar)

[Assistant]
It looks like there was a syntax error in the SPARQL query. The issue seems to be with the placement of the `ORDER BY` and `LIMIT` clauses. Let's correct the query by ensuring the subquery is properly structured and the main query handles the ordering and limiting.

Here is the corrected SPARQL query:

```sparql
SELECT ?containedBy ?label WHERE {
  fb:m.029jpy fb:location.location.containedby ?containedBy .
  OPTIONAL { ?containedBy rdfs:label ?label . FILTER(LANG(?label) = 'en') }
  {
    SELECT ?containedBy (COUNT(?subRegion) AS ?count)
    WHERE {
      fb:m.029jpy fb:location.location.containedby ?containedBy .
      ?containedBy fb:location.location.contains ?subRegion .
    }
    GROUP BY ?containedBy
  }
}
ORDER BY ASC(?count)
LIMIT 1
```

Let's execute this query to ensure it returns the correct result.

[Tool]
Got 1 row and 2 columns:
| containedBy                              | label                           |
| ---------------------------------------- | ------------------------------- |
| Northeastern United States (fb:m.027rjr) | Northeastern United States (en) |

[Assistant]
The refined query has successfully returned the most specific region that contains New England, which is the Northeastern United States.

Here is the final SPARQL query and answer:

```sparql
SELECT ?containedBy ?label WHERE {
  fb:m.029jpy fb:location.location.containedby ?containedBy .
  OPTIONAL { ?containedBy rdfs:label ?label . FILTER(LANG(?label) = 'en') }
  {
    SELECT ?containedBy (COUNT(?subRegion) AS ?count)
    WHERE {
      fb:m.029jpy fb:location.location.containedby ?containedBy .
      ?containedBy fb:location.location.contains ?subRegion .
    }
    GROUP BY ?containedBy
  }
}
ORDER BY ASC(?count)
LIMIT 1
```

Answer: New England is part of the **Northeastern United States**.

Let's finalize this with the `answer` function.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies that New England is part of the Northeastern United States. The query structure is appropriate, and the answer provided is accurate and complete.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?team ?teamLabel WHERE {
  fb:m.02d9k fb:sports.pro_athlete.teams ?roster .
  ?roster fb:sports.sports_team_roster.team ?team .
  ?roster fb:sports.sports_team_roster.from ?date .
  FILTER ( ?team != fb:m.01k2yr ) OPTIONAL {
    ?team rdfs:label ?teamLabel .
    FILTER ( lang( ?teamLabel ) = 'en' )
  }
}
ORDER BY ?date
LIMIT 1

Manchester United F.C.

[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 team did david beckham play for before la galaxy?

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

[Tool]
Example 1:
Question:
where do houston aeros play?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.068hn0 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.068hn0 fb:sports.sports_team.arena_stadium ?x .
  ?x fb:architecture.structure.opened ?sk0 .
}
ORDER BY DESC ( xsd:datetime ( ?sk0 ) )
LIMIT 1

Using entities:
Houston Aeros (fb:m.068hn0): The Houston Aeros were a professional ice hockey team in the World Hockey Association (WHA) from 1972 to 1978., has type Ice hockey team

Using properties:
Opened (fb:architecture.structure.opened): part of Structure schema, links to type Date/Time
Arena/Stadium (fb:sports.sports_team.arena_stadium): links to type Sports Facility, part of Sports Team schema

Example 2:
Question:
what language do they speak in indonesia?

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

Using entities:
Indonesia, also known as Republic of Indonesia, The Republic of Indonesia (fb:m.03ryn): Indonesia, officially the Republic of Indonesia, is a sovereign ... early centuries CE, and Hindu and Buddhist kingdoms flourished., has type Country

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

Example 3:
Question:
when was blessed kateri born?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01zql6 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01zql6 fb:people.person.date_of_birth ?x .
}

Using entities:
Kateri Tekakwitha (fb:m.01zql6): Saint Kateri Tekakwitha, given the name Tekakwitha, baptized as ... Pope Benedict XVI at Saint Peter's Basilica on 21 October 2012., has type Deceased Person

Using properties:
Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema

[Assistant] Based on the examples, we need to identify the entity for David Beckham and the property for his team history. Let's start by searching for David Beckham in Freebase.

[Tool]
Top 10 entity alternatives:
1. David Beckham, also known as DB7, Posh 'n' Becks, Golden Balls, Posh and Becks, Posh & Becks (fb:m.02d9k): David Robert Joseph Beckham, OBE is an English former profession...irst British footballer to play 100 UEFA Champions League games., has type Celebrity
2. David Beckham, also known as The Real Housewives of Atlanta, David Beckham, Lady Gaga, former...onaire\" contestant Donald Leake (fb:m.0j940xl): has type TV Episode
3. David Beckham (fb:m.0j61xrm): has type TV Episode
4. David Beckham (fb:m.0xglw04): has type Musical Recording
5. David Beckham (fb:m.0j943qd): The sexiest man in the world is back in L.A.! DAVID BECKHAM reco...today she's got another fun Hasbro game that everyone will love!, has type TV Episode
6. David Beckham (fb:m.07n5tdc): has type TV Episode
7. David Beckham (fb:m.0dn17_j): has type Musical Recording
8. David Beckham (fb:m.0wgkm6r): The Spice boy is probably the most famous football player on the...his first professional contract, this follows a football legend., has type TV Episode
9. David Beckham (fb:m.0jsl5cy): has type TV Episode
10. David Beckham (fb:m.0g51qxd): has type Film character

[Assistant] The correct entity for David Beckham is `fb:m.02d9k`. Now, let's find the property that links to the teams he played for. We can search for properties related to "team" or "club" for this entity.

[Tool]
Top 10 property alternatives:
1. Teams (fb:sports.pro_athlete.teams): links to type Sports team roster, part of Athlete schema
2. Name (fb:type.object.name): part of Object schema, links to type Text
3. Awards (fb:sports.sports_award_winner.awards): part of Sports League Award Winner schema, links to type Sports League Award
4. Position(s) (fb:soccer.football_player.position_s): links to type Football Position, part of Football player schema
5. World Cup Team (fb:base.x2010fifaworldcupsouthafrica.world_cup_participant.world_cup_team): part of 2010World Cup Athlete schema, links to type World Cup Squad
6. Key (fb:type.object.key): part of Object schema, links to type Key
7. Parties (fb:base.popstra.celebrity.parties): links to type Party Attendance, part of Celebrity schema
8. Supports (fb:base.popstra.celebrity.supporter): part of Celebrity schema, links to type Support
9. Official website (fb:common.topic.official_website): part of Topic schema, links to type URI
10. Article (fb:common.topic.article): links to type Document, part of Topic schema

No other items found

[Assistant]
The property `fb:sports.pro_athlete.teams` seems to be the most relevant for linking to the teams David Beckham played for. Let's use this property to find the teams he played for before LA Galaxy.

First, we need to identify the entity for LA Galaxy. Let's search for it.

[Tool]
Top 10 entity alternatives:
1. LA Galaxy, also known as L.A. Galaxy, Los Angeles Galaxy (fb:m.01k2yr): The LA Galaxy, also known as the Los Angeles Galaxy, is an Ameri...rently captains the club, Steven Gerrard and Giovani Dos Santos., has type Football team
2. LA Galaxy II (fb:m.0_gy699): LA Galaxy II is an American professional soccer team based in Ca...eague, the third tier of the United States soccer league system., has type Organization
3. Lady Galaxy (fb:m.0frj5sx): has type Musical Recording
4. Lady Galaxy (fb:m.0zkr5_k): has type Composition
5. Lady Galaxy, also known as Lady Galaxy (from BoA ARENA TOUR 2007 MADE IN TWENTY(20)) (fb:m.0dtkck4): has type Musical Recording
6. Ladybird Galaxy (fb:m.0kyncbc): has type Video game
7. Last Galaxy (fb:m.0ffvypm): has type Musical Recording
8. Featuring the See Dad Run Cast, also known as Featuring LA Galaxy (fb:m.0nd0_qv): has type TV Episode
9. Featuring LA Galaxy, also known as Featuring Noah Crawford (fb:m.0nd0_px): has type TV Episode
10. Lady Galaxy (fb:m.0rsflpz)

[Assistant]
The correct entity for LA Galaxy is `fb:m.01k2yr`. Now, let's construct a SPARQL query to find the teams David Beckham played for before LA Galaxy.

We will use the `fb:sports.pro_athlete.teams` property to find the teams and filter out LA Galaxy. We will also order the results by the date he joined the team to ensure we get the team he played for immediately before LA Galaxy.

Let's execute the query.

[Tool]
Got 1 row and 2 columns:
| team                                | teamLabel                   |
| ----------------------------------- | --------------------------- |
| Manchester United F.C. (fb:m.050fh) | Manchester United F.C. (en) |

[Assistant]
The team David Beckham played for before LA Galaxy was Manchester United F.C.

Here is the final SPARQL query and answer:

```sparql
SELECT DISTINCT ?team ?teamLabel WHERE {
  fb:m.02d9k fb:sports.pro_athlete.teams ?roster .
  ?roster fb:sports.sports_team_roster.team ?team .
  ?roster fb:sports.sports_team_roster.from ?date .
  FILTER (?team != fb:m.01k2yr)
  OPTIONAL { ?team rdfs:label ?teamLabel . FILTER(lang(?teamLabel) = 'en') }
} ORDER BY ?date LIMIT 1
```

Answer: Manchester United F.C.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query effectively retrieves the team David Beckham played for before joining LA Galaxy, which is Manchester United F.C. The query filters out LA Galaxy and orders the results by date to ensure the correct team is selected. The optional clause for the label is appropriate and correctly returns the English label.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?organization WHERE {
  fb:m.01rnwj fb:organization.organization_founder.organizations_founded ?organization .
}

Got 7 rows and 1 column:
| organization                                    |
| ----------------------------------------------- |
| Coalition of Labor Union Women (fb:m.027hxmd)   |
| Choice USA (fb:m.02vvc3x)                       |
| Ms. Foundation for Women (fb:m.03cytx2)         |
| National Women's Political Caucus (fb:m.04wwjx) |
| New York Media, LLC (fb:m.05st95c)              |
| Women's Action Alliance (fb:m.0640068)          |
| Feminist Majority Foundation (fb:m.06d6x5)      |

Gloria Steinem founded the following organizations: 1. Coalition of Labor Union Women, 2. Choice USA, 3. Ms. Foundation for Women, 4. National Women's Political Caucus, 5. New York Media, LLC, 6. Women's Action Alliance, 7. Feminist Majority Foundation.

[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 gloria steinem founded?

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

[Tool]
Example 1:
Question:
what place did thomas jefferson died?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07cbs ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07cbs fb:people.deceased_person.place_of_death ?x .
}

Using entities:
Thomas Jefferson (fb:m.07cbs): Thomas Jefferson was an American Founding Father, the principal ...lutions, which attempted to nullify the Alien and Sedition Acts., has type US President

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

Example 2:
Question:
what to see and do in san diego california?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.071vr ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.071vr fb:travel.travel_destination.tourist_attractions ?x .
}

Using entities:
San Diego, also known as Sunny San Diego, San Diego County / San Diego city, San Diego, California, San Diego, CA (fb:m.071vr): San Diego /ˌsæn diːˈeɪɡoʊ/ is a major city in California, on the... formed the first European settlement in what is now California., has type City/Town/Village

Using properties:
Tourist attractions (fb:travel.travel_destination.tourist_attractions): part of Travel destination schema, links to type Tourist attraction

Example 3:
Question:
what teams played in the 2010 stanley cup?

SPARQL:
SELECT DISTINCT ?x WHERE {
  {
    fb:m.0by0ww1 fb:sports.sports_championship_event.champion ?x .
  } UNION {
    fb:m.0by0ww1 fb:sports.sports_championship_event.runner_up ?x .
  }
}

Using entities:
2010 Stanley Cup Finals (fb:m.0by0ww1): The 2010 Stanley Cup Final was the best-of-seven NHL championshi...cago Bulls dynasty of the 1990s, and the 2005 Chicago White Sox., has type Sports League Championship Event

Using properties:
Champion (fb:sports.sports_championship_event.champion): part of Sports League Championship Event schema, links to type Sports Team
Runner-up (fb:sports.sports_championship_event.runner_up): part of Sports League Championship Event schema, links to type Sports Team

[Assistant] Based on the examples, we need to identify the entity for Gloria Steinem and then find out what she founded. Let's start by searching for Gloria Steinem in Freebase.

[Tool]
Top 10 entity alternatives:
1. Gloria Steinem, also known as Gloria Marie Steinem (fb:m.01rnwj): Gloria Marie Steinem is an American feminist, journalist, and so...to be titled Road to the Heart: America As if Everyone Mattered., has type Politician
2. Gloria Steinem (fb:m.0dl3bwq): Stephen starts his astronaut training, and Gloria Steinem discusses the benefits of men raising kids., has type TV Episode
3. Gloria Steinem, also known as Gloria: In Her Own Words (fb:m.0jgxq9h): Gloria Steinem is on the show telling us about her new film Glor...obby Lee, comedian Fortune Feimster and comedian Chris Hardwick., has type TV Episode
4. Gloria Steinem (fb:m.0k9zkrm): Mitt Romney thinks corporations are people too, Stephen reveals his super PAC ad, and Gloria Steinem discusses gender equality., has type TV Episode
5. Gloria Steinem (fb:m.079hvc_): has type TV Episode
6. Gloria Steinem (fb:m.011ct_s0): HARDtalk speaks to one of the most influential women in the hist...e one of the world's best known campaigners for gender equality., has type TV Episode
7. Gloria Steinem (fb:m.0wg9qkx): Oprah and legendary feminist/activist Gloria Steinem sit down wi...t age 10, marrying at age 66 and the biggest regret of her life., has type TV Episode
8. Gloria Steinem (fb:m.0gxq1rg): has type Film character
9. Gloria Steinem (fb:m.0k03wj6): Gloria Steinem is a fictional character from the 2012 film Lovelace., has type Film character
10. Gloria Steinem (fb:m.0n5q7j8): Gloria Steinem is a fictional character from the 1985 film A Bunny’s Tale., has type Film character

[Assistant] The top result, `fb:m.01rnwj`, seems to be the correct entity for Gloria Steinem. Now, let's find out what properties are associated with this entity to understand what she might have founded.

[Tool]
Got 597 rows and 3 columns, showing the first 10 rows below:
| subject                      | property                                                            | object                                                                   |
| ---------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Gloria Steinem (fb:m.01rnwj) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Gloria Steinem (fb:m.01rnwj) | Key (fb:type.object.key)                                            | /authority/daylife/topic/03Qm3jhgu09IR                                   |
| Gloria Steinem (fb:m.01rnwj) | Name (fb:type.object.name)                                          | Gloria Steinem (de)                                                      |
| Gloria Steinem (fb:m.01rnwj) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%3A%44%48%31%4A%27_%33%2A%27%4A%46%45>     |
| Gloria Steinem (fb:m.01rnwj) | Notable for (fb:common.topic.notable_for)                           | fb:g.12582fybt                                                           |
| Gloria Steinem (fb:m.01rnwj) | Notable types (fb:common.topic.notable_types)                       | Politician (fb:m.02xlh55)                                                |
| Gloria Steinem (fb:m.01rnwj) | Description (fb:common.topic.description)                           | Gloria Marie Steinem. ABD'li fem... Ms.in kurucusu ve yayıncısıdır. (tr) |
| Gloria Steinem (fb:m.01rnwj) | Recordings (fb:music.artist.track)                                  | 213 Ms. Foundation Concert Speech (fb:m.0dn6d5w)                         |
| Gloria Steinem (fb:m.01rnwj) | Article (fb:common.topic.article)                                   | fb:m.01rnwq                                                              |
| Gloria Steinem (fb:m.01rnwj) | Also known as (fb:common.topic.alias)                               | Gloria Marie Steinem (en)                                                |
| ...                          | ...                                                                 | ...                                                                      |

[Assistant] From the list of properties, we can see that Gloria Steinem is notable for founding something, as indicated by the property `fb:common.topic.notable_for`. However, the value of this property is not directly readable. Let's search for the specific property `notable_for` to get more details.

[Tool]
Top 10 property alternatives:
1. Notable for (fb:common.topic.notable_for): links to type notable_for, part of Topic schema
2. Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
3. Name (fb:type.object.name): part of Object schema, links to type Text
4. Also known as (fb:common.topic.alias): part of Topic schema, links to type Text
5. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
6. Member of (fb:organization.organization_member.member_of): links to type Organization membership, part of Organization member schema
7. Key (fb:type.object.key): part of Object schema, links to type Key
8. Type (fb:type.object.type): part of Object schema, links to type Type
9. Dated (fb:base.popstra.celebrity.dated): part of Celebrity schema, links to type Dated
10. Description (fb:common.topic.description): part of Topic schema, links to type Text

No other items found

[Assistant] The property `fb:common.topic.notable_for` is indeed the one we are interested in. Let's execute a SPARQL query to find out what Gloria Steinem is notable for founding.

[Tool]
Got 1 row and 1 column:
| founded        |
| -------------- |
| fb:g.12582fybt |

[Assistant] The result shows that Gloria Steinem is notable for founding `fb:g.12582fybt`. To get more information about this entity, let's look up its details.

[Tool]
Got 11 rows and 3 columns, showing the first 10 rows below:
| subject        | property                                              | object                              |
| -------------- | ----------------------------------------------------- | ----------------------------------- |
| fb:g.12582fybt | Display name (fb:common.notable_for.display_name)     | Personnalité Politique (fr)         |
| fb:g.12582fybt | Type (fb:type.object.type)                            | notable_for (fb:common.notable_for) |
| fb:g.12582fybt | notable object (fb:common.notable_for.notable_object) | Politician (fb:m.02xlh55)           |
| fb:g.12582fybt | Predicate (fb:common.notable_for.predicate)           | /type/object/type                   |
| fb:g.12582fybt | rdf:type                                              | notable_for (fb:common.notable_for) |
| fb:g.12582fybt | fb:common.notable_for.object                          | Politician (fb:m.02xlh55)           |
| fb:g.12582fybt | Display name (fb:common.notable_for.display_name)     | Politician (en)                     |
| fb:g.12582fybt | Display name (fb:common.notable_for.display_name)     | Politico (it)                       |
| fb:g.12582fybt | Display name (fb:common.notable_for.display_name)     | Político (es)                       |
| fb:g.12582fybt | Display name (fb:common.notable_for.display_name)     | Político (pt)                       |
| ...            | ...                                                   | ...                                 |

[Assistant] It appears that the entity `fb:g.12582fybt` is a notable_for entry, but it does not provide specific information about what Gloria Steinem founded. We need to look for more specific properties or relationships that indicate what she founded. Let's try searching for properties related to "founding" or "establishing" for Gloria Steinem.

[Tool]
Top 10 property alternatives:
1. Organizations founded (fb:organization.organization_founder.organizations_founded): part of Organization founder schema, links to type Organization
2. Member of (fb:organization.organization_member.member_of): links to type Organization membership, part of Organization member schema
3. Profession (fb:people.person.profession): links to type Profession, part of Person schema
4. Name (fb:type.object.name): part of Object schema, links to type Text
5. Description (fb:common.topic.description): part of Topic schema, links to type Text
6. Type (fb:type.object.type): part of Object schema, links to type Type
7. Official website (fb:common.topic.official_website): part of Topic schema, links to type URI
8. Parents (fb:people.person.parents): part of Person schema, links to type Person
9. Religion (fb:people.person.religion): links to type Religion, part of Person schema
10. Also known as (fb:common.topic.alias): part of Topic schema, links to type Text

No other items found

[Assistant] The property `fb:organization.organization_founder.organizations_founded` seems to be the one we are looking for. Let's execute a SPARQL query to find out the organizations that Gloria Steinem founded.

[Tool]
Got 7 rows and 1 column:
| organization                                    |
| ----------------------------------------------- |
| Coalition of Labor Union Women (fb:m.027hxmd)   |
| Choice USA (fb:m.02vvc3x)                       |
| Ms. Foundation for Women (fb:m.03cytx2)         |
| National Women's Political Caucus (fb:m.04wwjx) |
| New York Media, LLC (fb:m.05st95c)              |
| Women's Action Alliance (fb:m.0640068)          |
| Feminist Majority Foundation (fb:m.06d6x5)      |

[Assistant]
Gloria Steinem founded several organizations. Here are the organizations she founded:

1. Coalition of Labor Union Women (fb:m.027hxmd)
2. Choice USA (fb:m.02vvc3x)
3. Ms. Foundation for Women (fb:m.03cytx2)
4. National Women's Political Caucus (fb:m.04wwjx)
5. New York Media, LLC (fb:m.05st95c)
6. Women's Action Alliance (fb:m.0640068)
7. Feminist Majority Foundation (fb:m.06d6x5)

Here is the final SPARQL query and answer:

```sparql
SELECT ?organization WHERE {
  fb:m.01rnwj fb:organization.organization_founder.organizations_founded ?organization .
}
```

Answer: Gloria Steinem founded the following organizations:
1. Coalition of Labor Union Women
2. Choice USA
3. Ms. Foundation for Women
4. National Women's Political Caucus
5. New York Media, LLC
6. Women's Action Alliance
7. Feminist Majority Foundation

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query successfully retrieves all the organizations that Gloria Steinem founded, and the human-readable answer lists them accurately.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?movie WHERE {
  fb:m.02bwjv fb:film.performance.actor ?performance .
  ?performance fb:film.performance.film ?movie .
}

After multiple attempts, including listing all roles and films Alyson Stoner has been involved in, it is clear that the required data is not present in the Freebase dataset. The queries did not return any results, indicating that the specific information about Alyson Stoner's role in Camp Rock is not available in the dataset.

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

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

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

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

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

[User] who does alyson stoner play in camp rock?

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

[Tool]
Example 1:
Question:
what is the government structure of germany?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0345h ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0345h fb:location.country.form_of_government ?x .
}

Using entities:
Germany, also known as Deutschland, Federal Republic of Germany, Bundesrepublik Deutschland, BRD (fb:m.0345h): Germany, officially the Federal Republic of Germany, is a federa...9, the Empire was replaced by the parliamentary Weimar Republic., has type Country

Using properties:
Form of Government (fb:location.country.form_of_government): links to type Form of Government, part of Country schema

Example 2:
Question:
what airport is closest to cancun?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01q98m ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01q98m fb:location.location.nearby_airports ?x .
}

Using entities:
Cancún, also known as Cancun (fb:m.01q98m): Cancún is a city in southeastern Mexico, located on the northeas...guage documents, the city’s name is sometimes spelled "Cancoon"., has type City/Town/Village

Using properties:
Nearby airports (fb:location.location.nearby_airports): part of Location schema, links to type Airport

Example 3:
Question:
where is the boeing company?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0178g ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0178g fb:organization.organization.headquarters ?y .
  ?y fb:location.mailing_address.citytown ?x .
}

Using entities:
Boeing, also known as The Boeing Company (fb:m.0178g): The Boeing Company is an American multinational corporation that...t, and ranked 27th on the "World's Most Admired Companies" list., has type Organization founder

Using properties:
City/Town (fb:location.mailing_address.citytown): links to type Location, part of Address schema
Headquarters (fb:organization.organization.headquarters): part of Organization schema, links to type Address

[Assistant] From the examples, we can see how entities and properties are used in SPARQL queries. To answer the question about Alyson Stoner's role in Camp Rock, we need to identify the relevant entities and properties. Let's start by searching for Alyson Stoner and Camp Rock in Freebase.

[Tool]
Top 10 entity alternatives:
1. Alyson Stoner, also known as Alyson Rae Stoner, Stoner, Isabella Garcia-Shapiro (fb:m.02bwjv): Alyson Rae Stoner is an American actress, dancer, choreographer ...7, and the voice of Isabella Garcia-Shapiro in Phineas and Ferb., has type Celebrity
2. Alyson Stoner Project, also known as The Alyson Stoner Project (fb:m.04crzpz): has type Film
3. Stoner (fb:m.05f3tcf): Stoner is a 1965 novel by the American writer John Williams. It ... his very existence, every day, much as he did back on the farm., has type Book
4. Bill Cable, also known as Cable, Stoner (fb:m.09vw2gg): Bill Cable, AKA Stoner, was a Playgirl model, 1973, '74, '77, '82 and a Colt model, 1996, Bill Cable was a model, actor and film stuntman., has type Film actor
5. Alyson (fb:m.01r900k): Alyson is pop/dance singer-songwriter and producer from in Los Angeles, U.S., has type Musical Artist
6. Stoner (fb:m.012ygybk): has type Consumer product
7. Stoner (fb:m.0113xz8m): "Stoner" is a song by American hip hop recording artist Young Th... the song was made available through iTunes by Atlantic Records., has type Composition
8. Alyson (fb:m.03qgm1v)
9. Stoner (fb:m.02pypx8): Stoner is an English rock musician, best known as the bass guita... Malvern band, The Pull, with Rob Murray-Mason and Tyler Massey., has type Musical Artist
10. Stoner (fb:m.019w5pv): has type Musical Recording

[Tool]
Top 10 entity alternatives:
1. Camp Rock, also known as Rock Camp Rules (fb:m.02w4by3): Camp Rock is a 2008 Disney Channel Original Movie starring the J...akita in Haliburton, Ontario and Kilcoo Camp in Minden, Ontario., has type Award-Winning Work
2. Camp Rock, also known as Camp Rock Soundtrack (fb:m.04d5h5w): Camp Rock is the soundtrack album from the Disney Channel Origin...mp Rock. The soundtrack was released in the UK on July 14, 2008., has type Musical Album
3. Rock Camp (fb:m.04f_dff): Rock Camp was a 13-episode Canadian reality television series of...lifax, Nova Scotia. The series was first broadcast 5 April 2004., has type TV Program
4. Camp Rock (fb:m.0fydlj9): has type Consumer product
5. Camp Rock (fb:m.04d3dtz): has type Consumer product
6. Camp Rock (fb:m.0fqgz_l): has type Consumer product
7. Rock Camp, West Virginia, also known as Rock Camp, West Virginia, Rock Camp (fb:m.06zq5f1): Rock Camp is an unincorporated community in Monroe County, West ...n U.S. Route 219 northeast of Peterstown and southwest of Union., has type City/Town/Village
8. Rock Camp, also known as Rock Camp, Ohio (fb:m.02pm4w5): Rock Camp is an unincorporated community in northeastern Perry T...nincorporated, it has a post office, with the ZIP code of 45675., has type City/Town/Village
9. Rock Camp, also known as Rock Camp, Ohio (fb:m.04bf_dy): has type City/Town/Village
10. Camp Rock (fb:m.07kxdhz): has type TV Episode

[Assistant]
We have found the relevant entities for Alyson Stoner and Camp Rock. Now, let's look for the property that connects Alyson Stoner to her role in Camp Rock. We can use the `search_property_of_entity` function to find this property.

### Step 1: Identify the Property Connecting Alyson Stoner to Her Role in Camp Rock

Let's search for properties related to roles or performances for Alyson Stoner.

[Tool]
Top 10 property alternatives:
1. Profession (fb:people.person.profession): links to type Profession, part of Person schema
2. Gender (fb:people.person.gender): part of Person schema, links to type Gender
3. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
4. Key (fb:type.object.key): part of Object schema, links to type Key
5. Type (fb:type.object.type): part of Object schema, links to type Type
6. Starring TV roles (fb:tv.tv_actor.starring_roles): links to type TV Regular Performance, part of TV Actor schema
7. Name (fb:type.object.name): part of Object schema, links to type Text
8. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
9. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
10. Description (fb:common.topic.description): part of Topic schema, links to type Text

No other items found

[Assistant]
The property `fb:tv.tv_actor.starring_roles` seems to be the most relevant for connecting Alyson Stoner to her roles in TV shows or movies. Let's use this property to find out what role she played in Camp Rock.

### Step 2: Find Alyson Stoner's Role in Camp Rock

We will construct a SPARQL query to find the role Alyson Stoner played in Camp Rock.

```sparql
SELECT DISTINCT ?role WHERE {
  fb:m.02bwjv fb:tv.tv_actor.starring_roles ?performance .
  ?performance fb:tv.regular_performance.show ?show .
  ?show fb:film.film.title "Camp Rock" .
  ?performance fb:tv.regular_performance.character ?role .
}
```

Let's execute this query to find the role.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that the query did not return any results. This might be because the property `fb:tv.tv_actor.starring_roles` is not the correct one for this context. Let's try another approach by looking for the property that directly connects Alyson Stoner to her role in Camp Rock.

### Step 3: Search for Properties Directly Connecting Alyson Stoner to Camp Rock

Let's search for properties that connect Alyson Stoner to Camp Rock directly.

[Tool]
Top 10 property alternatives:
1. Places lived (fb:people.person.places_lived): links to type Place lived, part of Person schema
2. Place Musical Career Began (fb:music.artist.origin): part of Musical Artist schema, links to type Location
3. Name (fb:type.object.name): part of Object schema, links to type Text

No other items found

[Assistant]
It appears that there are no direct properties linking Alyson Stoner to Camp Rock. This suggests that the relationship might be more complex and involve multiple steps. Let's try a different approach by looking for the cast of Camp Rock and then finding Alyson Stoner's role.

### Step 4: Find the Cast of Camp Rock and Alyson Stoner's Role

We will first find the cast of Camp Rock and then check if Alyson Stoner is part of it.

```sparql
SELECT DISTINCT ?actor ?role WHERE {
  fb:m.02w4by3 fb:film.film.cast ?castMember .
  ?castMember fb:film.performance.actor ?actor .
  ?castMember fb:film.performance.character ?role .
  FILTER (?actor = fb:m.02bwjv)
}
```

Let's execute this query to find the role.

[Tool] Got no rows and 2 columns

[Assistant]
It seems that even this query did not return any results. This suggests that the data might not be structured in the way we expected. Let's try a more general approach by listing the cast of Camp Rock and then manually checking if Alyson Stoner is part of it.

### Step 5: List the Cast of Camp Rock

We will list the cast of Camp Rock and then check if Alyson Stoner is part of it.

```sparql
SELECT DISTINCT ?actor ?role WHERE {
  fb:m.02w4by3 fb:film.film.cast ?castMember .
  ?castMember fb:film.performance.actor ?actor .
  ?castMember fb:film.performance.character ?role .
}
```

Let's execute this query to list the cast.

[Tool] Got no rows and 2 columns

[Assistant]
It seems that the cast information for Camp Rock is not available in the Freebase dataset. Given this, we cannot provide a definitive answer using the available data.

### Conclusion

Unfortunately, the Freebase dataset does not contain the specific information needed to answer the question about Alyson Stoner's role in Camp Rock. Therefore, I cannot provide a satisfactory SPARQL query to answer the question.

I will now cancel the generation process and explain why I could not find a satisfactory SPARQL query.

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The provided SPARQL query did not return any results, which suggests that the required data might not be present in the Freebase dataset. However, before concluding that the data is missing, we should try a different approach to ensure we have exhausted all possibilities. Let's try to first find the cast of 'Camp Rock' and then check if Alyson Stoner is part of that cast.

[Assistant]
Thank you for the feedback. Let's try a different approach to ensure we have exhausted all possibilities. We will first find the cast of 'Camp Rock' and then check if Alyson Stoner is part of that cast.

### Step 1: Find the Cast of Camp Rock

We will list the cast of Camp Rock and then check if Alyson Stoner is part of it.

```sparql
SELECT DISTINCT ?actor ?role WHERE {
  fb:m.02w4by3 fb:film.film.cast ?castMember .
  ?castMember fb:film.performance.actor ?actor .
  ?castMember fb:film.performance.character ?role .
}
```

Let's execute this query to list the cast.

[Tool] Got no rows and 2 columns

[Assistant]
The query to list the cast of Camp Rock did not return any results, which suggests that the cast information for Camp Rock is not available in the Freebase dataset.

### Step 2: Verify Alyson Stoner's Involvement in Camp Rock

Since the cast information is not available, let's verify if there is any other way to confirm Alyson Stoner's involvement in Camp Rock. We can try to find any other properties or relationships that might indicate her participation in the movie.

### Step 3: Search for Any Involvement of Alyson Stoner in Camp Rock

We will search for any properties or relationships that might indicate Alyson Stoner's involvement in Camp Rock.

```sparql
SELECT DISTINCT ?property ?value WHERE {
  fb:m.02bwjv ?property ?value .
  FILTER(?value = fb:m.02w4by3)
}
```

Let's execute this query to find any involvement.

[Tool] Got no rows and 2 columns

[Assistant]
The query to find any involvement of Alyson Stoner in Camp Rock did not return any results. This further confirms that the specific information about Alyson Stoner's role in Camp Rock is not available in the Freebase dataset.

### Conclusion

Given that multiple approaches have not yielded any results, it is clear that the required data is not present in the Freebase dataset. Therefore, I cannot provide a satisfactory SPARQL query to answer the question about Alyson Stoner's role in Camp Rock.

I will now cancel the generation process and explain why I could not find a satisfactory SPARQL query.

[Tool] Stopped generation process

[User]
Feedback (status=retry):
It seems that the data for Alyson Stoner's role in Camp Rock is not available in the Freebase dataset. However, before concluding that the information is not present, we should try a different approach. Instead of directly linking Alyson Stoner to Camp Rock, we can try to find her roles in all movies and then check if any of those roles are in Camp Rock. This might help us find the information even if it's not directly linked.

[Assistant]
Thank you for the feedback. Let's try a different approach by finding all the roles Alyson Stoner has played in movies and then checking if any of those roles are in Camp Rock.

### Step 1: Find All Roles Played by Alyson Stoner

We will list all the roles Alyson Stoner has played in movies.

```sparql
SELECT DISTINCT ?movie ?role WHERE {
  fb:m.02bwjv fb:film.performance.actor ?performance .
  ?performance fb:film.performance.character ?role .
  ?performance fb:film.performance.film ?movie .
}
```

Let's execute this query to find all the roles.

[Tool] Got no rows and 2 columns

[Assistant]
The query to find all roles played by Alyson Stoner in movies did not return any results. This suggests that the specific information about her roles in movies, including Camp Rock, is not available in the Freebase dataset.

### Step 2: Verify Alyson Stoner's Filmography

Since the previous query did not yield any results, let's try to verify Alyson Stoner's filmography in a more general way. We will list all the films she has been involved in, regardless of the specific role.

```sparql
SELECT DISTINCT ?movie WHERE {
  fb:m.02bwjv fb:film.performance.actor ?performance .
  ?performance fb:film.performance.film ?movie .
}
```

Let's execute this query to list the films Alyson Stoner has been involved in.

[Tool] Got no rows and 1 columns

[Assistant]
The query to list the films Alyson Stoner has been involved in did not return any results. This further confirms that the specific information about her filmography, including her role in Camp Rock, is not available in the Freebase dataset.

### Conclusion

After multiple attempts, including listing all roles and films Alyson Stoner has been involved in, it is clear that the required data is not present in the Freebase dataset. Therefore, I cannot provide a satisfactory SPARQL query to answer the question about Alyson Stoner's role in Camp Rock.

I will now cancel the generation process and explain why I could not find a satisfactory SPARQL query.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?school ?schoolLabel WHERE {
  fb:m.033t8w fb:people.person.education ?education .
  ?education fb:education.education.institution ?school .
  OPTIONAL {
    ?school rdfs:label ?schoolLabel .
    FILTER ( LANG( ?schoolLabel ) = 'en' )
  }
}

Ben Roethlisberger went to Miami University.

[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 school did ben roethlisberger go to?

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

[Tool]
Example 1:
Question:
who is playing hawkeye in the avengers movie?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.062zm5h ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.062zm5h fb:film.film.starring ?y .
  ?y fb:film.performance.actor ?x .
  ?y fb:film.performance.character fb:m.034qd2 .
}

Using entities:
Clint Barton, also known as Clint Barton, Ronin, Hawkeye, Goliath (fb:m.034qd2): Hawkeye is a fictional superhero appearing in comic books publis...rising the role in the upcoming film Captain America: Civil War., Clint Barton is a fictional character from the 2012 film The Avengers., has type Comic Book Character
The Avengers, also known as The Avengers: An IMAX 3D Experience, Marvel's The Avengers, Oi ekdikites, Osvetnici, Os Vingadores (fb:m.062zm5h): Marvel's The Avengers, or simply The Avengers, is a 2012 America...d in April 2010 and rewrote the original screenplay by Zak Penn., has type Award-Winning Work

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 2:
Question:
what countries does japan export to?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03_3d ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03_3d fb:location.statistical_region.places_exported_to ?y .
  ?y fb:location.imports_and_exports.exported_to ?x .
}

Using entities:
Japan, also known as Япония, State of Japan, JAP, NTSC J, Nippon-koku (fb:m.03_3d): Japan is an island country in East Asia. Located in the Pacific ...on of Japan is in Chinese history texts from the 1st century AD., has type Country

Using properties:
Exported to (fb:location.imports_and_exports.exported_to): part of Imports and exports schema, links to type Statistical region
Places exported to (fb:location.statistical_region.places_exported_to): links to type Imports and exports, part of Statistical region schema

Example 3:
Question:
what movies are directed by steven spielberg?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.06pj8 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.06pj8 fb:film.director.film ?x .
}

Using entities:
Steven Spielberg, also known as Uncle Morty, Steve Spielberg, Steven Spielrock, Steven Speilberg, Steven Allan Spielberg (fb:m.06pj8): Steven Allan Spielberg is an American director, producer and scr... His personal net worth is estimated to be more than $3 billion., has type Film director

Using properties:
Films directed (fb:film.director.film): part of Film director schema, links to type Film

[Assistant]
From the examples, we can see that the SPARQL queries typically involve identifying the main entity (such as a person or a country) and then finding the relevant properties and objects associated with that entity. In our case, we need to identify Ben Roethlisberger and then find out which school he attended.

First, let's search for Ben Roethlisberger in the Freebase knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Ben Roethlisberger, also known as Big Ben, Benjamin Todd Roethlisberger, Ben (fb:m.033t8w): Benjamin Todd "Ben" Roethlisberger, Sr., nicknamed "Big Ben," is...tage among quarterbacks with a minimum of 1,500 career attempts., Ben Roethlisberger appeared in the 2012 film The Dark Knight Rises., has type American football player
2. Ben Roethlisberger (fb:m.0gh1ml2): Shaq challenges Pittsburgh Steelers QB Ben Roethisberger in a series of football skills., has type TV Episode
3. Ben Roethlisberger (fb:m.03tbgk4)
4. Meet Ben Roethlisberger (fb:m.06bdqb1): has type Book
5. Ben Roethlisberger, Steve Martin (fb:m.0jln3yb): has type TV Episode
6. Shaq vs. Ben Roethlisberger (fb:m.0j_bq88): Shaq challenges Pittsburgh Steelers QB Ben Roethisberger in a series of football skills., has type TV Episode
7. Ben Roethlisberger Steelers cropped (fb:m.04smn_m)
8. John C. Reilly, Ben Roethlisberger (fb:m.06gt695): has type TV Episode
9. Ben Roethlisberger, Fall Out Boy (fb:m.06x9ybc): has type TV Episode
10. Ben Folds, also known as Ben, Ben Folds Five, Benjamin Scott "Ben" Folds, Benjamin Scott Folds, Folds, Ben (fb:m.03f6fl0): Benjamin Scott "Ben" Folds is an American singer-songwriter and ...e NBC a cappella singing contest The Sing-Off from 2009 to 2013., has type Composer

[Assistant] The top result for Ben Roethlisberger is the correct one (fb:m.033t8w). Now, we need to find the property that indicates which school he attended. Let's search for properties related to education or school for Ben Roethlisberger.

[Tool]
Top 10 property alternatives:
1. Education (fb:people.person.education): links to type Education, part of Person schema
2. Games (fb:american_football.football_player.games): part of American football player schema, links to type Player Game Statistics
3. Key (fb:type.object.key): part of Object schema, links to type Key
4. Description (fb:common.topic.description): part of Topic schema, links to type Text
5. Passing (fb:american_football.football_player.passing): links to type Player Passing Statistics, part of American football player schema
6. Name (fb:type.object.name): part of Object schema, links to type Text
7. Teams (fb:sports.pro_athlete.teams): links to type Sports team roster, part of Athlete schema
8. Gender (fb:people.person.gender): part of Person schema, links to type Gender
9. Type (fb:type.object.type): part of Object schema, links to type Type
10. Article (fb:common.topic.article): links to type Document, part of Topic schema

No other items found

[Assistant]
The property "Education" (fb:people.person.education) seems to be the most relevant for finding out which school Ben Roethlisberger attended. Let's construct a SPARQL query to retrieve this information.

Here is the initial SPARQL query:

```sparql
SELECT DISTINCT ?school WHERE {
  fb:m.033t8w fb:people.person.education ?education .
  ?education fb:education.education.institution ?school .
}
```

Let's execute this query to see the results.

[Tool]
Got 1 row and 1 column:
| school                         |
| ------------------------------ |
| Miami University (fb:m.01r3y2) |

[Assistant]
The SPARQL query returned the school that Ben Roethlisberger attended, which is Miami University (fb:m.01r3y2).

To provide a complete answer, let's also include the label of the school in the query.

Here is the final SPARQL query:

```sparql
SELECT DISTINCT ?school ?schoolLabel WHERE {
  fb:m.033t8w fb:people.person.education ?education .
  ?education fb:education.education.institution ?school .
  OPTIONAL { ?school rdfs:label ?schoolLabel . FILTER(LANG(?schoolLabel) = 'en') }
}
```

Let's execute this query to get the label of the school.

[Tool]
Got 1 row and 2 columns:
| school                         | schoolLabel           |
| ------------------------------ | --------------------- |
| Miami University (fb:m.01r3y2) | Miami University (en) |

[Assistant]
The final SPARQL query successfully retrieved the school that Ben Roethlisberger attended, along with its label. Ben Roethlisberger went to Miami University.

Here is the final SPARQL query and the answer:

```sparql
SELECT DISTINCT ?school ?schoolLabel WHERE {
  fb:m.033t8w fb:people.person.education ?education .
  ?education fb:education.education.institution ?school .
  OPTIONAL { ?school rdfs:label ?schoolLabel . FILTER(LANG(?schoolLabel) = 'en') }
}
```

Answer: Ben Roethlisberger went to Miami University.

Now, I will provide the final answer using the `answer` function.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query correctly identifies the educational institution attended by Ben Roethlisberger, which is Miami University. The query follows all the rules and returns the IRI of the item along with the label in English.