PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?character ?characterLabel WHERE {
  fb:m.02w4by3 fb:film.film.starring ?performance .
  ?performance fb:film.performance.actor fb:m.02bwjv .
  ?performance fb:film.performance.character ?character .
  OPTIONAL {
    ?character rdfs:label ?characterLabel
  }
}

Got 1 row and 2 columns:
| character                     | characterLabel      |
| ----------------------------- | ------------------- |
| Caitlyn Geller (fb:m.0h5vd14) | Caitlyn Geller (en) |

Alyson Stoner plays the character Caitlyn Geller in Camp Rock.

[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]
To answer the question "Who does Alyson Stoner play in Camp Rock?", I need to find the entity for Alyson Stoner and the entity for the movie Camp Rock in the knowledge graph. Then, I will look for the property that relates an actor to the character they play in a movie. Finally, I will query the character Alyson Stoner plays in Camp Rock.

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

[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

[Assistant] I found the entity for Alyson Stoner: fb:m.02bwjv. Next, I will search for the entity "Camp Rock" in the knowledge graph.

[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] I found the entity for the movie Camp Rock: fb:m.02w4by3. Now, I will search for properties that relate Alyson Stoner (fb:m.02bwjv) to a character or role in Camp Rock (fb:m.02w4by3). I will start by searching for properties of Alyson Stoner related to acting or characters.

[Tool]
Top 10 property alternatives:
1. Type (fb:type.object.type): part of Object schema, links to type Type
2. Name (fb:type.object.name): part of Object schema, links to type Text
3. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
4. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
5. Gender (fb:people.person.gender): part of Person schema, links to type Gender
6. Profession (fb:people.person.profession): links to type Profession, part of Person schema
7. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
8. Key (fb:type.object.key): part of Object schema, links to type Key
9. Height (fb:people.person.height_meters): links to type Floating Point Number, part of Person schema
10. Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type

No other items found

[Assistant] The search for properties related to "character" for Alyson Stoner did not return a direct property linking her to a character in a movie. I will now try to search for properties of the movie Camp Rock related to cast or characters.

[Tool]
Top 10 property alternatives:
1. Key (fb:type.object.key): part of Object schema, links to type Key
2. Casting director (fb:film.film.film_casting_director): links to type Film casting director, part of Film schema
3. Name (fb:type.object.name): part of Object schema, links to type Text
4. Directed by (fb:film.film.directed_by): links to type Film director, part of Film schema
5. Performances (fb:film.film.starring): links to type Film performance, part of Film schema
6. Article (fb:common.topic.article): links to type Document, part of Topic schema
7. Produced by (fb:film.film.produced_by): links to type Film producer, part of Film schema
8. Screenplay by (fb:film.film.written_by): links to type Film writer, part of Film schema
9. Official website (fb:common.topic.official_website): part of Topic schema, links to type URI
10. Country of origin (fb:film.film.country): links to type Country, part of Film schema

No other items found

[Assistant] I found a property "Performances" (fb:film.film.starring) for the movie Camp Rock that links to film performances. I will now explore the performances of Camp Rock to see if I can find Alyson Stoner and the character she plays.

[Tool]
Got 14 rows and 3 columns, showing the first 10 rows below:
| subject                  | property                             | object       |
| ------------------------ | ------------------------------------ | ------------ |
| Camp Rock (fb:m.02w4by3) | Performances (fb:film.film.starring) | fb:m.03jqmzg |
| Camp Rock (fb:m.02w4by3) | Performances (fb:film.film.starring) | fb:m.04dc588 |
| Camp Rock (fb:m.02w4by3) | Performances (fb:film.film.starring) | fb:m.064ylll |
| Camp Rock (fb:m.02w4by3) | Performances (fb:film.film.starring) | fb:m.07snhmj |
| Camp Rock (fb:m.02w4by3) | Performances (fb:film.film.starring) | fb:m.09j06pc |
| Camp Rock (fb:m.02w4by3) | Performances (fb:film.film.starring) | fb:m.09j06pj |
| Camp Rock (fb:m.02w4by3) | Performances (fb:film.film.starring) | fb:m.09j06pp |
| Camp Rock (fb:m.02w4by3) | Performances (fb:film.film.starring) | fb:m.09j06pv |
| Camp Rock (fb:m.02w4by3) | Performances (fb:film.film.starring) | fb:m.0d3hgb3 |
| Camp Rock (fb:m.02w4by3) | Performances (fb:film.film.starring) | fb:m.0gyy21p |
| ...                      | ...                                  | ...          |

[Assistant] I found several film performances related to Camp Rock. Now I will check the details of these performances to find the one related to Alyson Stoner and the character she plays. I will start by checking the details of the first performance fb:m.03jqmzg.

[Tool]
Got 5 rows and 3 columns:
| subject      | property                                  | object                                 |
| ------------ | ----------------------------------------- | -------------------------------------- |
| fb:m.03jqmzg | Type (fb:type.object.type)                | Film performance (fb:film.performance) |
| fb:m.03jqmzg | Actor (fb:film.performance.actor)         | Alyson Stoner (fb:m.02bwjv)            |
| fb:m.03jqmzg | Film (fb:film.performance.film)           | Camp Rock (fb:m.02w4by3)               |
| fb:m.03jqmzg | Character (fb:film.performance.character) | Caitlyn Geller (fb:m.0h5vd14)          |
| fb:m.03jqmzg | rdf:type                                  | Film performance (fb:film.performance) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?education WHERE {
  fb:m.033t8w fb:people.person.education ?education
}

Got 1 row and 1 column:
| education    |
| ------------ |
| fb:m.02wns4p |

Ben Roethlisberger attended the school identified by fb:m.02wns4p in the Freebase knowledge graph. Unfortunately, the name or label of this school is not available in English in the knowledge graph.

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

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

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

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

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

[User] what school did ben roethlisberger go to?

[Assistant] To answer the question "What school did Ben Roethlisberger go to?", I will first search for the entity "Ben Roethlisberger" in the Freebase knowledge graph to get its identifier. Then, I will look for properties related to education or schools attended by this entity.

[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 entity "Ben Roethlisberger" with the identifier fb:m.033t8w corresponds to Benjamin Todd "Ben" Roethlisberger, Sr., an American football player. Next, I will search for properties related to education or schools attended by this entity. I will search for properties of the entity fb:m.033t8w with a query related to "school" or "education".

[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) is related to the school or educational institutions attended by a person. I will now construct a SPARQL query to retrieve the schools or educational institutions that Ben Roethlisberger (fb:m.033t8w) attended using this property.

[Tool]
Got 1 row and 2 columns:
| education    | educationLabel |
| ------------ | -------------- |
| fb:m.02wns4p |                |

[Assistant] Ben Roethlisberger attended the school or educational institution identified by fb:m.02wns4p. I will now retrieve the label of this entity to provide the name of the school.

[Tool] Got no rows and 1 columns

[Assistant] The entity fb:m.02wns4p representing the school Ben Roethlisberger attended does not have an English label in the knowledge graph. I will try to get the name of the school using a different property such as "name" or "common.topic.alias".

[Tool] Got no rows and 1 columns

[Tool] Got no rows and 1 columns

[Assistant] The entity fb:m.02wns4p representing the school Ben Roethlisberger attended does not have an English label, name, or alias in the knowledge graph. However, based on the identifier, it is likely the educational institution he attended. I will provide the identifier as the answer along with the information that it is the school he attended.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?team ?teamName WHERE {
  fb:m.0h7q7b fb:sports.pro_athlete.teams ?teamRoster .
  ?teamRoster fb:sports.sports_team_roster.team ?team .
  ?team rdfs:label ?teamName .
  FILTER ( LANG( ?teamName ) = "en" ) ?teamRoster fb:sports.sports_team_roster.from ?startDate .
  ?teamRoster fb:sports.sports_team_roster.to ?endDate .
  FILTER ( YEAR( ?startDate ) <= 2010 && YEAR( ?endDate ) >= 2010 )
}

Michael Oher played for the Baltimore Ravens in 2010.

[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 michael oher play for in 2010?

[Assistant]
To answer the question "Who does Michael Oher play for in 2010?" I need to find the entity for Michael Oher in the Freebase knowledge graph and then find the team or organization he played for in the year 2010.

Step 1: Search for the entity "Michael Oher" in Freebase.

[Tool]
Top 10 entity alternatives:
1. Michael Oher, also known as Michael Jerome Williams, Jr., Michael Jerome Oher (fb:m.0h7q7b): Michael Jerome Oher is an American football offensive tackle for... featured in the Academy Award-winning 2009 film The Blind Side., Michael Oher played as an American Football offensive lineman for the Ole Miss Rebels., has type American football player
2. Michael Oher (fb:m.07yd7_1): Michael Oher is the fictional representation of Michael Oher in the 2009 drama film The Blind Side., has type Film character
3. Michael Oher (fb:m.0cph214)
4. The Winklevoss Twins, Michael Oher (fb:m.0lckhk5): Actors and twin brothers Cameron and Tyler Winklevoss from the f...al Network and NFL football player Michael Oher are interviewed., has type TV Episode
5. Sylvester Stallone, also known as Michael, シルヴェスター・スタローン, The Italian Stallion, Sylvester Gardenzio Stallone, Sly (fb:m.0gn30): Sylvester Gardenzio Stallone, nicknamed Sly Stallone, is an Amer...ademy Awards for Rocky, Best Original Screenplay and Best Actor., has type Celebrity
6. Michael, also known as St. Michael, San Miguel, Saint Michael (fb:m.01v6bw): Michael is an archangel in Judaism, Christianity, and Islam. Rom...or and the leader of the army of God against the forces of evil., has type Film character
7. Michael Hutchence, also known as Michael Kelland John Hutchence, Michael, INXS, Hutchence, Michael, Hutch (fb:m.01kws5s): Michael Kelland John Hutchence was an Australian musician and ac...mber 1997, Hutchence was found dead in his hotel room in Sydney., has type Musical Artist
8. Michael, also known as Michael Jackson (fb:m.0dl7rvt): Michael is the first posthumous album of previously unreleased t...ark Pellington, and had its worldwide debut on December 9, 2010., MICHAEL is a posthumous music album by american artist Michael J...ng unreleased music, completed after the singer's death in 2009., has type Musical Album
9. Michael Nyqvist, also known as Michael, Rolf Åke Mikael Nyqvist, Rolf Åke Michael Nyqvist, Mikael Nyqvist, Mikael (fb:m.08tv4d): Rolf Åke Mikael Nyqvist is a Swedish actor. Educated at the Scho... villains in Mission: Impossible – Ghost Protocol and John Wick., has type Film actor
10. Michael Weston, also known as Mike Weston, Michael Rubinstein, Michael Rubenstein, Michael (fb:m.06jczl): Michael Weston is an American television and film actor. His bes...ly acclaimed HBO drama Six Feet Under and Pvt. Dancer on Scrubs., has type TV Actor

[Assistant] I found the entity for Michael Oher as fb:m.0h7q7b. Next, I will search for properties related to the team or organization he played for, especially focusing on the year 2010. I will first look for properties related to "team" or "play for" 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. Position(s) (fb:american_football.football_player.position_s): part of American football player schema, links to type Sports position
4. Key (fb:type.object.key): part of Object schema, links to type Key
5. Games (fb:american_football.football_player.games): part of American football player schema, links to type Player Game Statistics
6. Official website (fb:common.topic.official_website): part of Topic schema, links to type URI
7. Article (fb:common.topic.article): links to type Document, part of Topic schema
8. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
9. Description (fb:common.topic.description): part of Topic schema, links to type Text
10. Profession (fb:people.person.profession): links to type Profession, part of Person schema

No other items found

[Assistant] The property "Teams" (fb:sports.pro_athlete.teams) seems to be the relevant property that links Michael Oher to the sports teams he played for. Now, I need to find the team he played for specifically in the year 2010. I will query the teams Michael Oher played for and check if there is any information about the years he was with those teams.

[Tool]
Got 3 rows and 4 columns:
| team                                    | teamName                      | startYear      | endYear        |
| --------------------------------------- | ----------------------------- | -------------- | -------------- |
| Tennessee Titans (fb:m.07l2m)           | Tennessee Titans (en)         | 2014 (xsd:int) |                |
| Baltimore Ravens (fb:m.01ct6)           | Baltimore Ravens (en)         | 2009 (xsd:int) | 2013 (xsd:int) |
| Ole Miss Rebels football (fb:m.03gqb0k) | Ole Miss Rebels football (en) | 2005 (xsd:int) | 2009 (xsd:int) |

[Assistant] Michael Oher played for the Baltimore Ravens from 2009 to 2013, which includes the year 2010. Therefore, in 2010, Michael Oher played for the Baltimore Ravens. I will now provide the final answer.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?deity ?deityLabel WHERE {
  VALUES ?deity {
    fb:m.0jfd
  }
  OPTIONAL {
    ?deity rdfs:label ?deityLabel FILTER ( LANG( ?deityLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| deity             | deityLabel |
| ----------------- | ---------- |
| Allah (fb:m.0jfd) | Allah (en) |

Islamic people pray to Allah, which is the Arabic word for God, represented by the entity fb:m.0jfd in the knowledge graph.

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

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

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

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

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

[User] who do islamic people pray to?

[Assistant] The question is asking about the entity to whom Islamic people pray. In Islamic belief, the central figure of worship is God, commonly referred to as "Allah" in Arabic. To confirm this and find the corresponding entity in the Freebase knowledge graph, I will first search for the entity "Islam" to understand its context and then search for the entity "Allah" or related terms to identify the deity to whom Islamic people pray.

[Tool]
Top 10 entity alternatives:
1. Islam (fb:m.0flw86): Islam is a monotheistic, Abrahamic religion articulated by the Q...der it to be both the unaltered and the final revelation of God., has type Religion
2. Rational approach to Islam, also known as Islam (fb:m.08m592c): has type Book Edition
3. Islam (fb:m.0944r69): has type Book Edition
4. Islam (fb:m.0bnwc61)
5. Islam (fb:m.08fln1z): has type Book Edition
6. Islam (fb:m.0bj0gsl): has type Book Edition
7. Islam (fb:m.088rgld): has type Book Edition
8. Islam (fb:m.08tt9jl): has type Book Edition
9. Islam (fb:m.04xvxbd): has type Book Edition
10. Islam (fb:m.04xvx6r): has type Book Edition

[Tool]
Top 10 entity alternatives:
1. Allah, also known as Ar-Rahman (fb:m.0jfd): Allah is the Arabic word for God. The word has cognates in other...the law in West Malaysia prohibits non-Islamic uses of the word., has type Deity
2. Allah Allah (fb:m.0371j1z): has type Musical Release
3. Allah (fb:m.0ync6h): has type Musical Recording
4. Allah Allah - Hülya, also known as Allah Allah (fb:m.01p5bxb): Allah Allah - Hülya is a 1987 studio album by İbrahim Tatlıses., has type Musical Album
5. Allah (fb:m.0xgv8n): has type Musical Recording
6. Allahi Allah (fb:m.013qhhq): has type Musical Recording
7. Allah Allah (fb:m.011j68m): has type Musical Recording
8. Allah (fb:m.011q6l8): has type Musical Recording
9. Allah, also known as Allah, Arizona (fb:m.04881by): has type City/Town/Village
10. Allah, Allah, Allah, also known as الله الله الله, الله الله الله (fb:m.0dplymz): has type Musical Recording

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?team ?teamName WHERE {
  fb:m.0839s fb:sports.pro_athlete.teams ?teamRoster .
  ?teamRoster fb:sports.sports_team_roster.team ?team .
  OPTIONAL {
    ?team rdfs:label ?teamName
  }
  .
  ?teamRoster fb:sports.sports_team_roster.from ?fromYear
}
ORDER BY ?fromYear
LIMIT 1

Wayne Gretzky's first team was the Edmonton Oilers.

[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 was wayne gretzky's first team?

[Assistant] To answer the question "What was Wayne Gretzky's first team?" I need to identify the entity for Wayne Gretzky in the knowledge graph and then find the property that relates to the first team he played for. I will start by searching for the entity "Wayne Gretzky" in the Freebase knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Wayne Gretzky, also known as The Great One, Wayne Douglas Gretzky, The White Tornado, Wayne Douglas Gretzky, CC, Wayne Gretsky (fb:m.0839s): Wayne Douglas Gretzky, CC is a Canadian former professional ice ..., Gretzky's intelligence and reading of the game were unrivaled., has type Ice hockey coach
2. Wayne Gretzky (fb:m.0mrkw8): has type Musical Recording
3. Wayne Gretzky (fb:m.011jkdv5): Wayne Gretzky is a musical artist., has type Musician
4. Wayne Gretzky (fb:m.013cl00q): has type Musical Recording
5. Wayne Gretzky (fb:m.0k0pv7n): has type TV Episode
6. Wayne Gretzky (fb:m.06gtsxy): has type Book
7. Wayne Gretzky (fb:m.06nbx16): has type Book
8. Wayne Gretzky (fb:m.04w7w97): has type Book
9. Wayne Gretzky (fb:m.0sp_s6m)
10. Wayne Gretzky (fb:m.010szq41)

[Assistant] I found the entity for Wayne Gretzky as fb:m.0839s which corresponds to Wayne Douglas Gretzky, the Canadian former professional ice hockey player. Next, I will search for properties related to teams or sports teams associated with this entity to find the property that indicates the first team he played for.

[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. Key (fb:type.object.key): part of Object schema, links to type Key
4. Official website (fb:common.topic.official_website): part of Topic schema, links to type URI
5. Article (fb:common.topic.article): links to type Document, part of Topic schema
6. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
7. Description (fb:common.topic.description): part of Topic schema, links to type Text
8. Profession (fb:people.person.profession): links to type Profession, part of Person schema
9. Type (fb:type.object.type): part of Object schema, links to type Type
10. Gender (fb:people.person.gender): part of Person schema, links to type Gender

No other items found

[Assistant] The property "Teams" (fb:sports.pro_athlete.teams) seems to be the relevant property that links Wayne Gretzky to the sports teams he played for. I will now query the teams associated with Wayne Gretzky using this property to see if I can identify his first team.

[Tool]
Got 2 rows and 2 columns:
| team          | teamName |
| ------------- | -------- |
| fb:m.0125clwk |          |
| fb:m.07vkdw8  |          |

[Assistant] Wayne Gretzky is associated with two teams in the knowledge graph, but their names are not directly available in the query result. I will now try to get the names of these teams by querying their labels separately.

[Tool]
Got 2 rows and 2 columns:
| team          | teamName |
| ------------- | -------- |
| fb:m.0125clwk |          |
| fb:m.07vkdw8  |          |

[Assistant] The team names are still not available using the property fb:type.object.name. I will try to get the labels of these teams using the rdfs:label property instead.

[Tool]
Got 2 rows and 2 columns:
| team          | label |
| ------------- | ----- |
| fb:m.0125clwk |       |
| fb:m.07vkdw8  |       |

[Assistant] The labels for the teams are also not available. I will try to find more information about these teams by listing some properties of one of the teams (fb:m.0125clwk) to see if there is any property that can give us the name or more details about the team.

[Tool]
Got 4 rows and 3 columns:
| subject       | property                                         | object                                            |
| ------------- | ------------------------------------------------ | ------------------------------------------------- |
| fb:m.0125clwk | Type (fb:type.object.type)                       | Sports team roster (fb:sports.sports_team_roster) |
| fb:m.0125clwk | Player (fb:sports.sports_team_roster.player)     | Wayne Gretzky (fb:m.0839s)                        |
| fb:m.0125clwk | Position (fb:sports.sports_team_roster.position) | Centerman (fb:m.02qvdc)                           |
| fb:m.0125clwk | rdf:type                                         | Sports team roster (fb:sports.sports_team_roster) |

[Assistant] The entity fb:m.0125clwk is a sports team roster, not the team itself. It links Wayne Gretzky as a player and his position as Centerman. I will now check the other entity fb:m.07vkdw8 to see if it is also a sports team roster or the actual team.

[Tool]
Got 7 rows and 3 columns:
| subject      | property                                         | object                                            |
| ------------ | ------------------------------------------------ | ------------------------------------------------- |
| fb:m.07vkdw8 | Type (fb:type.object.type)                       | Sports team roster (fb:sports.sports_team_roster) |
| fb:m.07vkdw8 | Player (fb:sports.sports_team_roster.player)     | Wayne Gretzky (fb:m.0839s)                        |
| fb:m.07vkdw8 | Position (fb:sports.sports_team_roster.position) | Centerman (fb:m.02qvdc)                           |
| fb:m.07vkdw8 | Team (fb:sports.sports_team_roster.team)         | Edmonton Oilers (fb:m.0jnmj)                      |
| fb:m.07vkdw8 | From (fb:sports.sports_team_roster.from)         | 1979 (xsd:gYear)                                  |
| fb:m.07vkdw8 | To (fb:sports.sports_team_roster.to)             | 1988 (xsd:gYear)                                  |
| fb:m.07vkdw8 | rdf:type                                         | Sports team roster (fb:sports.sports_team_roster) |

[Assistant] The entity fb:m.07vkdw8 is also a sports team roster. However, it has a property "Team" with the value "Edmonton Oilers" (fb:m.0jnmj) and a "From" year of 1979. This suggests that Wayne Gretzky played for the Edmonton Oilers starting in 1979. I will check if this was his first team by looking for any other teams with an earlier "From" year.

[Tool]
Got 34 rows and 3 columns, showing the first 5 and last 5 rows below:
| team                         | teamName                 | fromYear         |
| ---------------------------- | ------------------------ | ---------------- |
| Edmonton Oilers (fb:m.0jnmj) | Edmontonas "Oilers" (lv) | 1979 (xsd:gYear) |
| Edmonton Oilers (fb:m.0jnmj) | Edmonton Oilers (ca)     | 1979 (xsd:gYear) |
| Edmonton Oilers (fb:m.0jnmj) | Edmonton Oilers (cs)     | 1979 (xsd:gYear) |
| Edmonton Oilers (fb:m.0jnmj) | Edmonton Oilers (da)     | 1979 (xsd:gYear) |
| Edmonton Oilers (fb:m.0jnmj) | Edmonton Oilers (de)     | 1979 (xsd:gYear) |
| ...                          | ...                      | ...              |
| Edmonton Oilers (fb:m.0jnmj) | एडमॉन्टन ऑइलर्स (hi)     | 1979 (xsd:gYear) |
| Edmonton Oilers (fb:m.0jnmj) | 에드먼턴 오일러스 (ko)           | 1979 (xsd:gYear) |
| Edmonton Oilers (fb:m.0jnmj) | エドモントン・オイラーズ (ja)        | 1979 (xsd:gYear) |
| Edmonton Oilers (fb:m.0jnmj) | 埃德蒙顿油人 (zh)              | 1979 (xsd:gYear) |
| Edmonton Oilers (fb:m.0jnmj) | 愛德蒙頓油人 (zh-Hant)         | 1979 (xsd:gYear) |

[Assistant] The earliest team Wayne Gretzky played for according to the data is the Edmonton Oilers (fb:m.0jnmj) starting in 1979. This is consistent across multiple language labels for the team name. I will now provide this as the answer.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?language ?languageLabel WHERE {
  fb:m.03_3d fb:location.country.languages_spoken ?language .
  OPTIONAL {
    ?language rdfs:label ?languageLabel .
    FILTER ( LANG( ?languageLabel ) = "en" )
  }
}

Got 5 rows and 2 columns:
| language                        | languageLabel           |
| ------------------------------- | ----------------------- |
| English Language (fb:m.02h40lc) | English Language (en)   |
| Korean Language (fb:m.02hwhyv)  | Korean Language (en)    |
| Esperanto Language (fb:m.02jcw) | Esperanto Language (en) |
| Japanese Language (fb:m.03_9r)  | Japanese Language (en)  |
| Ainu Language (fb:m.0jdg7)      | Ainu Language (en)      |

The languages spoken in Japan are Japanese, English, Korean, Esperanto, and Ainu.

[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 languages are there in japan?

[Assistant]
To answer the question "What languages are there in Japan?" I need to identify the entity for Japan and then find the property that relates countries or locations to languages spoken there.

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

[Tool]
Top 10 entity alternatives:
1. 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
2. Japan (fb:m.016f2t): Japan were an English new wave music group formed in 1974 in Cat...akup, the band members went on to pursue other musical projects., has type Musical Group
3. Japan, also known as Japón (fb:m.04lhsvw): Japón is a 2002 film by the Mexican director Carlos Reygadas. It was Reygadas' debut feature., has type Award-Winning Work
4. Rain Tree Crow, also known as Japan (fb:m.09bn11): Rain Tree Crow is the first and only album released by the Engli...ince 1982. The album peaked at number 24 on the UK Albums Chart., has type Musical Group
5. Japan Japan (fb:m.0407rml): Japan Japan is a 2007 film directed by Lior Shamriz, starring Imri Kahn., has type Film
6. Japan (fb:m.02y_jm3): Japan is a 2008 American independent film written and directed by Fabien Pruvot., has type Film
7. Japan (fb:m.0fr7jn): The Japan Pavilion is part of the World Showcase within Epcot at...ocation is between The American Adventure and Morocco pavilions., has type Building
8. Japan, also known as Japan (A-Side 1977), Japan (A‐Side 1977) (fb:m.0qvlmt): has type Musical Recording
9. Japan (fb:m.03fnvn4): has type Musical Release
10. JAPAN (fb:m.0dz57d5): has type Musical Release

[Assistant] The entity for Japan as a country is fb:m.03_3d. Next, I need to find the property that relates a country or location to the languages spoken there. I will search for properties related to "language" for the entity Japan (fb:m.03_3d).

[Tool]
Top 10 property alternatives:
1. Languages spoken (fb:location.country.languages_spoken): links to type Human Language, part of Country schema
2. Type (fb:base.biblioness.bibs_location.loc_type): part of Bibs Location schema, links to type Text
3. Type (fb:type.object.type): part of Object schema, links to type Type
4. Pronunciation (fb:base.schemastaging.context_name.pronunciation): links to type Pronunciation, part of Context name schema
5. Titles (fb:media_common.netflix_genre.titles): part of Netflix Genre schema, links to type Netflix Title
6. Adjectival form (fb:location.location.adjectival_form): part of Location schema, links to type Text
7. Adjectival form (fb:freebase.linguistic_hint.adjectival_form): part of Linguistic hint schema, links to type Text
8. Adjectival form (fb:base.aareas.schema.administrative_area.adjectival_form): part of Administrative Area schema, links to type Text
9. Flag (fb:symbols.flag_referent.flag): part of Flag referent schema, links to type Flag use
10. Continent (fb:base.locations.countries.continent): links to type Continents, part of Countries schema

No other items found

[Assistant] The property "Languages spoken" (fb:location.country.languages_spoken) is the relevant property that links a country to the languages spoken there. Now I will write a SPARQL query to get the languages spoken in Japan (fb:m.03_3d) using this property. I will also try to get the labels of the languages for better readability.

[Tool]
Got 5 rows and 2 columns:
| language                        | languageLabel           |
| ------------------------------- | ----------------------- |
| English Language (fb:m.02h40lc) | English Language (en)   |
| Korean Language (fb:m.02hwhyv)  | Korean Language (en)    |
| Esperanto Language (fb:m.02jcw) | Esperanto Language (en) |
| Japanese Language (fb:m.03_9r)  | Japanese Language (en)  |
| Ainu Language (fb:m.0jdg7)      | Ainu Language (en)      |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?currency ?currencyLabel WHERE {
  fb:m.03_r3 fb:location.country.currency_used ?currency .
  OPTIONAL {
    ?currency rdfs:label ?currencyLabel .
    FILTER ( LANG( ?currencyLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| currency                      | currencyLabel        |
| ----------------------------- | -------------------- |
| Jamaican dollar (fb:m.04xc2m) | Jamaican dollar (en) |

The currency used in Jamaica is the Jamaican dollar.

[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 currency can you use in jamaica?

[Assistant] To answer the question about the currency used in Jamaica, I will first search for the entity "Jamaica" in the Freebase knowledge graph. Then, I will look for properties related to currency for that entity.

[Tool]
Top 10 entity alternatives:
1. Jamaica (fb:m.03_r3): Jamaica is an island country situated in the Caribbean Sea, comp...d Canada, and the fourth most populous country in the Caribbean., has type Country
2. Jamaica, also known as Jamaica, New York, Jamaica, Queens (fb:m.01sn04): Jamaica is a middle-class neighborhood in the New York City boro... former Town of Jamaica, including Richmond Hill, Woodhaven, St., has type Neighborhood
3. Jamaica, also known as Guthrie County / Jamaica city, Jamaica, Iowa (fb:m.0szwn): Jamaica is a city in Guthrie County, Iowa, United States. The po...of the Des Moines–West Des Moines Metropolitan Statistical Area., has type City/Town/Village
4. Jamaica (fb:m.0g6zbh4): has type Musical Group
5. Jamaica, also known as Jamaica, Vermont (fb:m.010knc): Jamaica is a town in Windham County, Vermont, United States. The...including Hamilton Falls. The nearest large town is Brattleboro., has type City/Town/Village
6. Jamaica, also known as Jamaica, Queens (fb:m.0541mw): Jamaica is a major hub station of the Long Island Rail Road, and...e Montauk Branch also serves one daily trip to Long Island City., has type Transit Stop
7. Jamaica (fb:m.0g7s664): has type Consumer product
8. Jamaica (fb:m.03jb12w): has type Consumer product
9. Jamaica (fb:m.0w39vj): has type Musical Recording
10. Jamaica (fb:m.088jrs8): has type Book Edition

[Assistant] The entity "Jamaica" as a country is identified with the Freebase ID fb:m.03_r3. Now I will search for properties related to currency for this entity. I will search for properties of the entity Jamaica with the query "currency".

[Tool]
Top 10 property alternatives:
1. Currency Used (fb:location.country.currency_used): links to type Currency, part of Country schema
2. GDP (nominal) (fb:location.statistical_region.gdp_nominal): part of Statistical region schema, links to type Dated Money Value
3. Inflation rate (fb:location.statistical_region.cpi_inflation_rate): part of Statistical region schema, links to type Dated Percentage
4. GNI in PPP dollars (fb:location.statistical_region.gni_in_ppp_dollars): part of Statistical region schema, links to type Dated Money Value
5. Flag (fb:symbols.flag_referent.flag): part of Flag referent schema, links to type Flag use
6. GDP real (fb:location.statistical_region.gdp_real): links to type Adjusted money value, part of Statistical region schema
7. Trade balance (% of GDP) (fb:location.statistical_region.trade_balance_as_percent_of_gdp): part of Statistical region schema, links to type Dated Percentage
8. Deposit interest rate (fb:location.statistical_region.deposit_interest_rate): part of Statistical region schema, links to type Dated Percentage
9. Continent (fb:base.locations.countries.continent): links to type Continents, part of Countries schema
10. Capital (fb:location.country.capital): links to type City/Town/Village, part of Country schema

No other items found

[Assistant] The property "Currency Used" (fb:location.country.currency_used) is relevant for the entity Jamaica (fb:m.03_r3) to find the currency used in Jamaica. I will now write a SPARQL query to get the currency used in Jamaica using this property.

[Tool]
Got 1 row and 2 columns:
| currency                      | currencyLabel        |
| ----------------------------- | -------------------- |
| Jamaican dollar (fb:m.04xc2m) | Jamaican dollar (en) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?player ?playerName WHERE {
  ?team fb:type.object.name "Miami Dolphins" @en .
  ?team fb:sports.sports_team.roster ?rosterEntry .
  ?rosterEntry fb:sports.sports_team_roster.number "22" .
  ?rosterEntry fb:sports.sports_team_roster.player ?player .
  ?player fb:type.object.name ?playerName .
}
LIMIT 10

Got 10 rows and 2 columns:
| player                    | playerName        |
| ------------------------- | ----------------- |
| Reggie Bush (fb:m.05cb70) | Reggie Bush (da)  |
| Reggie Bush (fb:m.05cb70) | Reggie Bush (de)  |
| Reggie Bush (fb:m.05cb70) | Reggie Bush (en)  |
| Reggie Bush (fb:m.05cb70) | Reggie Bush (es)  |
| Reggie Bush (fb:m.05cb70) | Reggie Bush (fi)  |
| Reggie Bush (fb:m.05cb70) | Reggie Bush (fil) |
| Reggie Bush (fb:m.05cb70) | Reggie Bush (fr)  |
| Reggie Bush (fb:m.05cb70) | Reggie Bush (hu)  |
| Reggie Bush (fb:m.05cb70) | Reggie Bush (it)  |
| Reggie Bush (fb:m.05cb70) | Reggie Bush (pt)  |

The player who is number 22 on the Miami Dolphins is Reggie Bush.

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

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

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

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

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

[User] who is number 22 on miami dolphins?

[Assistant]
To answer the question "Who is number 22 on Miami Dolphins?", I need to identify the entity for the Miami Dolphins team and then find the player associated with the jersey number 22 on that team.

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

[Tool]
Top 10 entity alternatives:
1. Miami Dolphins, also known as The Fins, The Fish, The Phins (fb:m.04vn5): The Miami Dolphins are a professional American football team loc...ppearance in Super Bowl VI, but lost to the Dallas Cowboys 24–3., has type Professional Sports Team
2. Miami Dolphins (fb:m.0_b3mv0): Miami Dolphins is a 2012 Telly Award winning ad, created by New Vision Communications for Brightcove., has type Award-Winning Work
3. Miami Dolphins Cheerleaders (fb:m.0j6536t): The Miami Dolphins Cheerleaders is the professional cheerleading...d made a video cover of the Carly Rae Jepsen song Call Me Maybe., has type Organization
4. 1973 Miami Dolphins (fb:m.0w6cc67): Narrated by Ed Harris. Team Commentary by Dick Anderson, Bob Kuechenberg, and Mercury Morris., has type TV Episode
5. Miami Dolphins #1 (fb:m.0pm6fmn): has type Fight song
6. The Miami Dolphins (fb:m.06cslwq): has type Book
7. The Miami Dolphins (fb:m.06t1s_w): has type Book
8. Miami Dolphins Linebacker (fb:m.0vwy9pd): Miami Dolphins Linebacker is a fictional character from the 2009 film The Slammin' Salmon., has type Film character
9. Miami Dolphins records (fb:m.0129ljdd): Miami Dolphins all-time records Regular Season Record : 421-321-...an Marino - 147 victories Winningest Coach: Don Shula - 257 wins
10. Miami Dolphins Helmet (fb:m.02kzxbd)

[Assistant] The entity for the Miami Dolphins professional American football team is fb:m.04vn5. Next, I will search for the property related to jersey number or player number for this team to find the player who wears number 22.

[Tool]
Top 10 property alternatives:
1. Name (fb:type.object.name): part of Object schema, links to type Text
2. Key (fb:type.object.key): part of Object schema, links to type Key
3. Type (fb:type.object.type): part of Object schema, links to type Type
4. Division (fb:american_football.football_team.division): links to type American football division, part of American football team schema
5. Abbreviation (fb:sports.sports_team.abbreviation): part of Sports Team schema, links to type Text
6. Description (fb:common.topic.description): part of Topic schema, links to type Text
7. Position (fb:user.szaijan.fantasy_football.player.position): links to type Position, part of Player schema
8. Member of (fb:sports.sports_team.league): links to type Sports league participation, part of Sports Team schema
9. Colors (fb:sports.sports_team.colors): part of Sports Team schema, links to type Color
10. Image (fb:common.topic.image): part of Topic schema, links to type Image

No other items found

[Assistant]
The search for properties related to "number" for the Miami Dolphins entity did not return a direct property for jersey number or player number. I will try a different approach: I will search for players who are members of the Miami Dolphins team and then check their jersey numbers.

Step 1: Find players who are members of the Miami Dolphins team (fb:m.04vn5).
Step 2: Check the jersey number of each player to find the one with number 22.

[Tool]
Got 297 rows and 3 columns, showing the first 10 rows below:
| subject                     | property                              | object        |
| --------------------------- | ------------------------------------- | ------------- |
| Miami Dolphins (fb:m.04vn5) | Roster (fb:sports.sports_team.roster) | fb:m.0101cdd3 |
| Miami Dolphins (fb:m.04vn5) | Roster (fb:sports.sports_team.roster) | fb:m.0102_0xq |
| Miami Dolphins (fb:m.04vn5) | Roster (fb:sports.sports_team.roster) | fb:m.0104b_ht |
| Miami Dolphins (fb:m.04vn5) | Roster (fb:sports.sports_team.roster) | fb:m.0104bzp0 |
| Miami Dolphins (fb:m.04vn5) | Roster (fb:sports.sports_team.roster) | fb:m.0106pgc9 |
| Miami Dolphins (fb:m.04vn5) | Roster (fb:sports.sports_team.roster) | fb:m.010c1_ky |
| Miami Dolphins (fb:m.04vn5) | Roster (fb:sports.sports_team.roster) | fb:m.010hdm9x |
| Miami Dolphins (fb:m.04vn5) | Roster (fb:sports.sports_team.roster) | fb:m.010pv_69 |
| Miami Dolphins (fb:m.04vn5) | Roster (fb:sports.sports_team.roster) | fb:m.010pw292 |
| Miami Dolphins (fb:m.04vn5) | Roster (fb:sports.sports_team.roster) | fb:m.010pyf57 |
| ...                         | ...                                   | ...           |

[Assistant]
I found that the Miami Dolphins team (fb:m.04vn5) has a roster with many players. Now, I will check the properties of one of these players to find if there is a property for jersey number or player number.

I will start by checking the properties of the first player in the roster: fb:m.0101cdd3.

[Tool]
Top 10 property alternatives:
1. Number (fb:sports.sports_team_roster.number): links to type Machine readable string, part of Sports team roster schema
2. Type (fb:type.object.type): part of Object schema, links to type Type
3. Position (fb:sports.sports_team_roster.position): part of Sports team roster schema, links to type Sports position
4. Player (fb:sports.sports_team_roster.player): part of Sports team roster schema, links to type Athlete
5. From (fb:sports.sports_team_roster.from): part of Sports team roster schema, links to type Date/Time
6. Team (fb:sports.sports_team_roster.team): part of Sports team roster schema, links to type Sports Team
7. Has no value (fb:freebase.valuenotation.has_no_value): part of Value Notation schema, links to type Property

No other items found

[Assistant]
The property fb:sports.sports_team_roster.number represents the jersey number of a player in the sports team roster. The property fb:sports.sports_team_roster.player links to the athlete (player) entity.

Now I will write a SPARQL query to find the player who has the jersey number 22 on the Miami Dolphins team. The query will find the roster entry for the Miami Dolphins with number 22 and then get the player linked to that roster entry.

[Tool]
Got 10 rows and 2 columns:
| player                    | playerName        |
| ------------------------- | ----------------- |
| Reggie Bush (fb:m.05cb70) | Reggie Bush (da)  |
| Reggie Bush (fb:m.05cb70) | Reggie Bush (de)  |
| Reggie Bush (fb:m.05cb70) | Reggie Bush (en)  |
| Reggie Bush (fb:m.05cb70) | Reggie Bush (es)  |
| Reggie Bush (fb:m.05cb70) | Reggie Bush (fi)  |
| Reggie Bush (fb:m.05cb70) | Reggie Bush (fil) |
| Reggie Bush (fb:m.05cb70) | Reggie Bush (fr)  |
| Reggie Bush (fb:m.05cb70) | Reggie Bush (hu)  |
| Reggie Bush (fb:m.05cb70) | Reggie Bush (it)  |
| Reggie Bush (fb:m.05cb70) | Reggie Bush (pt)  |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?continent ?continentLabel WHERE {
  fb:m.0345h fb:base.locations.countries.continent ?continent .
  OPTIONAL {
    ?continent rdfs:label ?continentLabel
  }
}
LIMIT 10

Got 10 rows and 2 columns:
| continent           | continentLabel |
| ------------------- | -------------- |
| Europe (fb:m.02j9z) | Avrupa (tr)    |
| Europe (fb:m.02j9z) | Châu Âu (vi)   |
| Europe (fb:m.02j9z) | Eiropa (lv)    |
| Europe (fb:m.02j9z) | Eropa (id)     |
| Europe (fb:m.02j9z) | Eropah (ms)    |
| Europe (fb:m.02j9z) | Euroopa (et)   |
| Europe (fb:m.02j9z) | Eurooppa (fi)  |
| Europe (fb:m.02j9z) | Europa (ca)    |
| Europe (fb:m.02j9z) | Europa (da)    |
| Europe (fb:m.02j9z) | Europa (de)    |

Germany is in the continent Europe.

[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] in which continent is germany?

[Assistant]
To answer the question "In which continent is Germany?" I need to:

1. Identify the entity for Germany in the knowledge graph.
2. Identify the property that relates a country to its continent.
3. Query the continent of Germany using the identified entity and property.

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

[Tool]
Top 10 entity alternatives:
1. 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
2. Germany Germany, also known as Germany, Germany (fb:m.0fsdfvd): has type Musical Artist
3. Germany (fb:m.0fqgj3): The Germany Pavilion is part of the World Showcase within Epcot ... Florida. Its location is between the China and Italy pavilions., has type Building
4. Looking for Nicolas Sarkozy, also known as Germany (fb:m.0hr9606): Looking for Nicolas Sarkozy is a 2011 French documentary film di...France. It was released on TV network Arte on December 21, 2011., has type Film
5. The Cambridge illustrated history of Germany, also known as Germany (fb:m.0b3z6xw): has type Book Edition
6. Germany (fb:m.01vhjk6): has type Musical Artist
7. Germany (fb:m.03cl0jw): In European elections, Germany is a constituency of the European...y-six members, the most of any European Parliament constituency., has type Political District
8. Germany, Texas, also known as Germany, Texas, Germany (fb:m.04by95t): Germany is an unincorporated community in Houston County, Texas....rated business in the community. In 2000, the population was 43., has type City/Town/Village
9. Germany (fb:m.09z3q01): has type Book Edition
10. Germany (fb:m.0c5s7wz): has type Book Edition

[Assistant] The entity for Germany as a country is identified as fb:m.0345h. Next, I will search for properties related to the continent or location of Germany. I will search for properties related to "continent" or "location" for the entity Germany (fb:m.0345h).

[Tool]
Top 10 property alternatives:
1. Continent (fb:base.locations.countries.continent): links to type Continents, part of Countries schema
2. Area (fb:location.location.area): links to type Floating Point Number, part of Location schema
3. Time zone(s) (fb:location.location.time_zones): links to type Time Zone, part of Location schema
4. Versions released in this region (fb:cvg.computer_game_region.versions_released_in_this_region): links to type Video Game Version, part of Video Game Region schema
5. Places exported to (fb:location.statistical_region.places_exported_to): links to type Imports and exports, part of Statistical region schema
6. Languages spoken (fb:location.country.languages_spoken): links to type Human Language, part of Country schema
7. Flag (fb:symbols.flag_referent.flag): part of Flag referent schema, links to type Flag use
8. Type (fb:base.biblioness.bibs_location.loc_type): part of Bibs Location schema, links to type Text
9. Type (fb:type.object.type): part of Object schema, links to type Type
10. Member of (fb:organization.organization_member.member_of): links to type Organization membership, part of Organization member schema

No other items found

[Assistant] The property that links a country to its continent is fb:base.locations.countries.continent. Now I will write a SPARQL query to find the continent of Germany using the entity fb:m.0345h and the property fb:base.locations.countries.continent. I will also include the label of the continent for better readability.

[Tool]
Got 10 rows and 2 columns:
| continent           | continentLabel |
| ------------------- | -------------- |
| Europe (fb:m.02j9z) | Avrupa (tr)    |
| Europe (fb:m.02j9z) | Châu Âu (vi)   |
| Europe (fb:m.02j9z) | Eiropa (lv)    |
| Europe (fb:m.02j9z) | Eropa (id)     |
| Europe (fb:m.02j9z) | Eropah (ms)    |
| Europe (fb:m.02j9z) | Euroopa (et)   |
| Europe (fb:m.02j9z) | Eurooppa (fi)  |
| Europe (fb:m.02j9z) | Europa (ca)    |
| Europe (fb:m.02j9z) | Europa (da)    |
| Europe (fb:m.02j9z) | Europa (de)    |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
SELECT ?championship ?championshipLabel ?year WHERE {
  fb:m.01ct6 fb:sports.sports_team.championships ?championship .
  OPTIONAL {
    ?championship rdfs:label ?championshipLabel .
    FILTER ( LANG( ?championshipLabel ) = "en" )
  }
  OPTIONAL {
    ?championship fb:time.event.start_date ?startDate .
    BIND( year( xsd:dateTime ( ?startDate ) ) AS ?year )
  }
  FILTER ( ?championship IN ( fb:m.076yq , fb:m.0642vqv ) )
}

Got 2 rows and 3 columns:
| championship                    | championshipLabel     | year           |
| ------------------------------- | --------------------- | -------------- |
| Super Bowl XLVII (fb:m.0642vqv) | Super Bowl XLVII (en) | 2013 (xsd:int) |
| Super Bowl XXXV (fb:m.076yq)    | Super Bowl XXXV (en)  | 2001 (xsd:int) |

The Baltimore Ravens won the Super Bowl in the years 2001 (Super Bowl XXXV) and 2013 (Super Bowl XLVII).

[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 year did baltimore ravens win super bowl?

[Assistant]
To answer the question about the year(s) the Baltimore Ravens won the Super Bowl, I need to identify the entity for "Baltimore Ravens" and the property related to "Super Bowl wins" or "championship wins" in the knowledge graph. Then I will query the year(s) associated with those wins.

Step 1: Search for the entity "Baltimore Ravens" in the Freebase knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Baltimore Ravens (fb:m.01ct6): The Baltimore Ravens are a professional American football team i...NFL to hold a perfect record in multiple Super Bowl appearances., has type American football team
2. Baltimore Ravens (fb:m.02kzwyh)
3. Poe, also known as Baltimore Ravens Poe (fb:m.052tmyg): Poe is the mascot of the Baltimore Ravens of the National Footba...famous writer and Baltimore, Maryland resident, Edgar Allan Poe., Poe is the mascot of the Baltimore Ravens., has type Mascot
4. 2000 Baltimore Ravens (fb:m.0w6cbv3): Narrated by Alec Baldwin. Team Commentary by Brian Billick, Trent Dilfer, and Ray Lewis., has type TV Episode
5. 2012 Baltimore Ravens (fb:m.0w6ccc9): Super Bowl MVP Joe Flacco, Linebacker Ray Lewis & Head Coach Joh...“We weren’t pretty. We weren’t perfect… But at least we were us., has type TV Episode
6. The Baltimore Ravens (fb:m.06b9l67): has type Book
7. Baltimore Ravens Cheerleaders (fb:m.0j9nntx): The Baltimore Ravens Cheerleaders are a cheerleading and dance s...e a promotional squad known as, The Baltimore Ravens Playmakers.
8. Conquer, also known as Baltimore Ravens Conquer (fb:m.0qg1c72): has type Mascot
9. Rise, also known as Baltimore Ravens Rise (fb:m.0nz45zc): has type Mascot
10. Baltimore Ravens seasons (fb:m.08sq7zr)

[Assistant]
The entity "Baltimore Ravens" is identified as fb:m.01ct6, which is the professional American football team.

Step 2: Search for properties related to "Super Bowl" or "championship" for the entity Baltimore Ravens (fb:m.01ct6) to find the relevant property that indicates the year(s) they won the Super Bowl.

[Tool]
Top 10 property alternatives:
1. Sport (fb:sports.sports_team.sport): part of Sports Team schema, links to type Sport
2. Arena/Stadium (fb:sports.sports_team.arena_stadium): links to type Sports Facility, part of Sports Team schema
3. Sports Team Location (fb:sports.sports_team.location): links to type Sports Team Location, part of Sports Team schema
4. Home Games (fb:american_football.football_team.home_games): part of American football team schema, links to type American football game
5. Championships (fb:sports.sports_team.championships): links to type Sports League Championship Event, part of Sports Team schema
6. Fight song (fb:sports.sports_team.fight_song): part of Sports Team schema, links to type Fight song
7. Away Games (fb:american_football.football_team.away_games): part of American football team schema, links to type American football game
8. Key (fb:type.object.key): part of Object schema, links to type Key
9. Venue (fb:sports.sports_team.venue): links to type Team/venue relationship, part of Sports Team schema
10. Roster (fb:sports.sports_team.roster): links to type Sports team roster, part of Sports Team schema

No other items found

[Assistant]
The property "Championships" (fb:sports.sports_team.championships) seems relevant for finding the Super Bowl wins of the Baltimore Ravens.

Step 3: Query the championships of the Baltimore Ravens (fb:m.01ct6) and get the year(s) they won the Super Bowl. I will also try to get the label of the championship event to confirm it is the Super Bowl.

[Tool]
Got 4 rows and 3 columns:
| championship                              | championshipLabel               | year |
| ----------------------------------------- | ------------------------------- | ---- |
| Super Bowl XLVII (fb:m.0642vqv)           | Super Bowl XLVII (en)           |      |
| Super Bowl XXXV (fb:m.076yq)              | Super Bowl XXXV (en)            |      |
| 2001 AFC Championship Game (fb:m.0_gt_qt) | 2001 AFC Championship Game (en) |      |
| 2013 AFC Championship Game (fb:m.0_gtz8t) | 2013 AFC Championship Game (en) |      |

[Assistant]
The Baltimore Ravens won the Super Bowl in two events: Super Bowl XXXV and Super Bowl XLVII. The query did not return explicit years for these events, but the Super Bowl events are named with Roman numerals indicating their sequence.

Step 4: To get the exact year of these Super Bowl wins, I will query the year or date of the Super Bowl events Super Bowl XXXV (fb:m.076yq) and Super Bowl XLVII (fb:m.0642vqv).

[Tool]
Got 2 rows and 4 columns:
| event                           | eventLabel            | date | year |
| ------------------------------- | --------------------- | ---- | ---- |
| Super Bowl XLVII (fb:m.0642vqv) | Super Bowl XLVII (en) |      |      |
| Super Bowl XXXV (fb:m.076yq)    | Super Bowl XXXV (en)  |      |      |

[Assistant] The query did not return explicit date or year information for the Super Bowl events. I will try to get the year by querying other properties related to the events Super Bowl XXXV and Super Bowl XLVII that might indicate the year.

[Tool]
Got 212 rows and 3 columns, showing the first 10 rows below:
| subject                      | property                                                            | object                                                                   |
| ---------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Super Bowl XXXV (fb:m.076yq) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Super Bowl XXXV (fb:m.076yq) | Key (fb:type.object.key)                                            | /en/super_bowl_xxxv                                                      |
| Super Bowl XXXV (fb:m.076yq) | Name (fb:type.object.name)                                          | Super Bowl XXXV (da)                                                     |
| Super Bowl XXXV (fb:m.076yq) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://da.wikipedia.org/wiki/index.html?curid=294034>                   |
| Super Bowl XXXV (fb:m.076yq) | Notable for (fb:common.topic.notable_for)                           | fb:g.1256kt6z4                                                           |
| Super Bowl XXXV (fb:m.076yq) | Notable types (fb:common.topic.notable_types)                       | Super bowl (fb:m.01xljv1)                                                |
| Super Bowl XXXV (fb:m.076yq) | Description (fb:common.topic.description)                           | A Super Bowl XXXV a 2000-es NFL-...őzést a Baltimore Ravens nyerte. (hu) |
| Super Bowl XXXV (fb:m.076yq) | Article (fb:common.topic.article)                                   | fb:m.076yw                                                               |
| Super Bowl XXXV (fb:m.076yq) | Pronunciation (fb:base.schemastaging.context_name.pronunciation)    | fb:g.125_p640x                                                           |
| Super Bowl XXXV (fb:m.076yq) | Start date (fb:time.event.start_date)                               | 2001-01-28 (xsd:date)                                                    |
| ...                          | ...                                                                 | ...                                                                      |

[Assistant]
For Super Bowl XXXV (fb:m.076yq), I found a property "Start date" (fb:time.event.start_date) with the value "2001-01-28". This indicates the event took place in the year 2001.

I will now check the properties for Super Bowl XLVII (fb:m.0642vqv) to find a similar date or year property.

[Tool]
Got 327 rows and 3 columns, showing the first 10 rows below:
| subject                         | property                                                            | object                                                                   |
| ------------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Super Bowl XLVII (fb:m.0642vqv) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Super Bowl XLVII (fb:m.0642vqv) | Key (fb:type.object.key)                                            | /en/super_bowl_xlvii                                                     |
| Super Bowl XLVII (fb:m.0642vqv) | Name (fb:type.object.name)                                          | Super Bowl XLVII (de)                                                    |
| Super Bowl XLVII (fb:m.0642vqv) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://de.wikipedia.org/wiki/index.html?curid=5988403>                  |
| Super Bowl XLVII (fb:m.0642vqv) | Notable for (fb:common.topic.notable_for)                           | fb:g.126t0zgjk                                                           |
| Super Bowl XLVII (fb:m.0642vqv) | Notable types (fb:common.topic.notable_types)                       | Sports League Championship Event (fb:m.025b7q2)                          |
| Super Bowl XLVII (fb:m.0642vqv) | Description (fb:common.topic.description)                           | A Super Bowl XLVII a 2012-es NFL... XXXVIII-on a himnuszt énekelte. (hu) |
| Super Bowl XLVII (fb:m.0642vqv) | Article (fb:common.topic.article)                                   | fb:m.0642vqz                                                             |
| Super Bowl XLVII (fb:m.0642vqv) | Also known as (fb:common.topic.alias)                               | Super Bowl 2013 (en)                                                     |
| Super Bowl XLVII (fb:m.0642vqv) | Is reviewed (fb:freebase.valuenotation.is_reviewed)                 | Location(s) (fb:m.02yxmnn)                                               |
| ...                             | ...                                                                 | ...                                                                      |

[Assistant] For Super Bowl XLVII (fb:m.0642vqv), I found an alias "Super Bowl 2013" which indicates the event took place in 2013. I will also check if there is a start date property similar to the other Super Bowl event.

[Tool]
Got 1 row and 3 columns:
| subject                         | property                              | object                             |
| ------------------------------- | ------------------------------------- | ---------------------------------- |
| Super Bowl XLVII (fb:m.0642vqv) | Start date (fb:time.event.start_date) | 2013-02-03T18:30:00 (xsd:dateTime) |

[Assistant]
The start date for Super Bowl XLVII (fb:m.0642vqv) is "2013-02-03T18:30:00", which confirms the year 2013.

Summary:
- Baltimore Ravens won Super Bowl XXXV in the year 2001.
- Baltimore Ravens won Super Bowl XLVII in the year 2013.

I will now provide the final answer with this information.

[Tool] Stopped generation process