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

Got 1 row and 2 columns:
| education    | educationLabel        |
| ------------ | --------------------- |
| fb:m.02wns4p | Miami University (en) |

Ben Roethlisberger went to Miami University.

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

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

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

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

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

[User] what school did ben roethlisberger go to?

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

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

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

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

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

Example 2:
Question:
what countries does japan export to?

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

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

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

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

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

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

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

[Assistant] I will now search for the entity "Ben Roethlisberger" in the Freebase knowledge graph to find the correct entity identifier.

[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. I will now search for properties related to education or schools for this entity.

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

No other items found

[Assistant] The property "Education" (fb:people.person.education) seems to be the relevant property for finding the school Ben Roethlisberger went to. I will now query the education information for Ben Roethlisberger using this property.

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

[Assistant] Ben Roethlisberger's education is linked to the entity fb:m.02wns4p. I will now look up the label for this entity to find out the name of the school.

[Tool] Got no rows and 1 columns

[Assistant] The entity fb:m.02wns4p does not have an English label. I will try to get the name of the school by querying other properties of this entity.

[Tool]
Got 4 rows and 3 columns:
| subject      | property                                         | object                             |
| ------------ | ------------------------------------------------ | ---------------------------------- |
| fb:m.02wns4p | Type (fb:type.object.type)                       | Education (fb:education.education) |
| fb:m.02wns4p | Institution (fb:education.education.institution) | Miami University (fb:m.01r3y2)     |
| fb:m.02wns4p | Student (fb:education.education.student)         | Ben Roethlisberger (fb:m.033t8w)   |
| fb:m.02wns4p | rdf:type                                         | Education (fb:education.education) |

[Assistant] The education entity fb:m.02wns4p is linked to the institution "Miami University" (fb:m.01r3y2). This indicates that Ben Roethlisberger went to Miami University. I will now confirm the label of the institution entity fb:m.01r3y2 to ensure it is "Miami University."

[Tool]
Got 1 row and 1 column:
| label                 |
| --------------------- |
| Miami University (en) |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?team ?teamName WHERE {
  fb:m.0h7q7b fb:sports.pro_athlete.teams ?teamMembership .
  ?teamMembership fb:sports.sports_team_roster.team ?team .
  OPTIONAL {
    ?team rdfs:label ?teamName .
    FILTER ( lang( ?teamName ) = "en" )
  }
  ?teamMembership fb:sports.sports_team_roster.from ?fromYear .
  ?teamMembership fb:sports.sports_team_roster.to ?toYear .
  FILTER ( ?fromYear <= 2010 && ?toYear >= 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] Let's start by looking at some examples.

[Tool]
Example 1:
Question:
where does president barack obama live?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02mjmr ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02mjmr fb:people.person.places_lived ?y .
  ?y fb:people.place_lived.location ?x .
  FILTER ( NOT EXISTS {
    ?y fb:people.place_lived.end_date ?sk0
  }
  || EXISTS {
    ?y fb:people.place_lived.end_date ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) >= "2015-08-10" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:people.place_lived.start_date ?sk2
  }
  || EXISTS {
    ?y fb:people.place_lived.start_date ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) <= "2015-08-10" ^^ xsd:dateTime )
  }
  )
}

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

Using properties:
Places lived (fb:people.person.places_lived): links to type Place lived, part of Person schema
End date (fb:people.place_lived.end_date): part of Place lived schema, links to type Date/Time
Location (fb:people.place_lived.location): part of Place lived schema, links to type Location
Start date (fb:people.place_lived.start_date): part of Place lived schema, links to type Date/Time

Example 2:
Question:
what did harriet beecher stowe do as an abolitionist?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.015v00 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.015v00 fb:book.author.works_written ?x .
}

Using entities:
Harriet Beecher Stowe, also known as Harriet Elizabeth Beecher (fb:m.015v00): Harriet Elisabeth Beecher Stowe was an American abolitionist and... her writings and her public stands on social issues of the day., has type Author

Using properties:
Works written (fb:book.author.works_written): links to type Written Work, part of Author schema

Example 3:
Question:
where does the shannon river end?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0m_dt ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0m_dt fb:geography.river.mouth ?x .
}

Using entities:
River Shannon (fb:m.0m_dt): The River Shannon is the longest river on Ireland at 360.5 km. T...idal east of Limerick as far as the base of the Ardnacrusha dam., has type River

Using properties:
Mouth (fb:geography.river.mouth): links to type Location, part of River schema

[Assistant]
The examples show how to query for a person's association with something (like a place lived or works written) and how to filter by time using start and end dates. For Michael Oher, we want to find the team he played for in 2010.

Step 1: Identify the entity for Michael Oher.
Step 2: Identify the property that links Michael Oher to the team he played for.
Step 3: Filter the result by the year 2010.

I will start by searching for the entity "Michael Oher" in the freebase knowledge graph.

[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] The entity for Michael Oher is fb:m.0h7q7b. Next, I will search for properties related to the teams or organizations he played for. I will search for properties of the entity fb:m.0h7q7b with a query related to "team" or "play 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. 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 will query for the teams Michael Oher played for along with the time period to filter for the year 2010. I will check the structure of the "Teams" property to see if it includes start and end dates or any temporal information. I will list some triples with Michael Oher as the subject and the property fb:sports.pro_athlete.teams to see the structure.

[Tool]
Got 3 rows and 3 columns:
| subject                    | property                            | object        |
| -------------------------- | ----------------------------------- | ------------- |
| Michael Oher (fb:m.0h7q7b) | Teams (fb:sports.pro_athlete.teams) | fb:m.011k06ld |
| Michael Oher (fb:m.0h7q7b) | Teams (fb:sports.pro_athlete.teams) | fb:m.05t_wzd  |
| Michael Oher (fb:m.0h7q7b) | Teams (fb:sports.pro_athlete.teams) | fb:m.05v4mwc  |

[Assistant] Michael Oher has three teams linked via the property fb:sports.pro_athlete.teams. I will now check the properties of one of these team memberships (e.g., fb:m.011k06ld) to see if there is a start date or end date property that can help filter for the year 2010. I will list properties of the team membership entity fb:m.011k06ld.

[Tool]
Got 8 rows and 3 columns:
| subject       | property                                              | object                                            |
| ------------- | ----------------------------------------------------- | ------------------------------------------------- |
| fb:m.011k06ld | Type (fb:type.object.type)                            | Sports team roster (fb:sports.sports_team_roster) |
| fb:m.011k06ld | Has no value (fb:freebase.valuenotation.has_no_value) | To (fb:m.0j2n1f2)                                 |
| fb:m.011k06ld | Player (fb:sports.sports_team_roster.player)          | Michael Oher (fb:m.0h7q7b)                        |
| fb:m.011k06ld | Position (fb:sports.sports_team_roster.position)      | Offensive lineman (fb:g.121g7ncl)                 |
| fb:m.011k06ld | Team (fb:sports.sports_team_roster.team)              | Tennessee Titans (fb:m.07l2m)                     |
| fb:m.011k06ld | From (fb:sports.sports_team_roster.from)              | 2014 (xsd:gYear)                                  |
| fb:m.011k06ld | Number (fb:sports.sports_team_roster.number)          | 72                                                |
| fb:m.011k06ld | rdf:type                                              | Sports team roster (fb:sports.sports_team_roster) |

[Assistant]
The team membership entity fb:m.011k06ld has properties "From" (fb:sports.sports_team_roster.from) and "Team" (fb:sports.sports_team_roster.team). The "From" property indicates the start year of the membership. There is also a "To" property but it has no value for this membership.

I will now query for all teams Michael Oher played for in 2010 by checking if the year 2010 is between the "From" and "To" years or if "To" is missing but "From" is before or equal to 2010. I will write a SPARQL query to get the teams for the year 2010.

[Tool] Got no rows and 2 columns

[Assistant] The query returned no results, which means the filtering condition might be too strict or the data might be represented differently. I will try a simpler query to just get all teams Michael Oher played for along with their start and end years without filtering by 2010, to understand the data better.

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

[Assistant]
Michael Oher played for the Baltimore Ravens from 2009 to 2013, Ole Miss Rebels football from 2005 to 2009, and Tennessee Titans from 2014 onwards. In 2010, he played for the Baltimore Ravens.

I will now provide the final answer with a SPARQL query that returns the team(s) Michael Oher played for in 2010.

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?deity ?deityName WHERE {
  fb:m.0flw86 fb:religion.religion.deities ?deity .
  OPTIONAL {
    ?deity rdfs:label ?deityName .
    FILTER ( lang( ?deityName ) = "en" )
  }
}

Got 3 rows and 2 columns:
| deity                    | deityName       |
| ------------------------ | --------------- |
| Ramdev Pir (fb:m.055v4c) | Ramdev Pir (en) |
| God (fb:m.0d05l6)        | God (en)        |
| Allah (fb:m.0jfd)        | Allah (en)      |

Islamic people pray to Allah, who is identified as the deity of Islam in the knowledge graph. Other related deities listed include God and Ramdev Pir, but Allah is the primary deity associated with Islam.

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

[Tool]
Example 1:
Question:
where did matt barnes play?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07dr3v ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07dr3v fb:sports.pro_athlete.teams ?y .
  ?y fb:sports.sports_team_roster.team ?x .
}

Using entities:
Matt Barnes, also known as Matt Kelly Barnes (fb:m.07dr3v): Matt Kelly Barnes is an American professional basketball player ...as drafted in the second round of the 2002 NBA draft by Memphis., has type Basketball Player

Using properties:
Teams (fb:sports.pro_athlete.teams): links to type Sports team roster, part of Athlete schema
Team (fb:sports.sports_team_roster.team): part of Sports team roster schema, links to type Sports Team

Example 2:
Question:
where does the jordan river end?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0cvy5 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0cvy5 fb:geography.river.mouth ?x .
}

Using entities:
Jordan River, also known as River Jordan (fb:m.0cvy5): The Jordan River is a 251-kilometre-long river in West Asia flow...nd and where Jesus of Nazareth was baptised by John the Baptist., has type River

Using properties:
Mouth (fb:geography.river.mouth): links to type Location, part of River schema

Example 3:
Question:
what year did dwayne wade came to the nba?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03l295 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03l295 fb:sports.drafted_athlete.drafted ?y .
  ?y fb:sports.sports_league_draft_pick.draft ?x .
}

Using entities:
Dwyane Wade, also known as Dwyane Tyrone Wade Jr., The "Flash", Flash, Dwyane Wade Jr., dwyane_wade (fb:m.03l295): Dwyane Tyrone Wade, Jr. is an American professional basketball p...ed the league in scoring and earned his first NBA scoring title., has type Basketball Player

Using properties:
Drafted (fb:sports.drafted_athlete.drafted): links to type Sports League Draft Pick, part of Drafted athlete schema
Draft (fb:sports.sports_league_draft_pick.draft): part of Sports League Draft Pick schema, links to type Sports League Draft

[Assistant] The question is "who do islamic people pray to?" which is about the religious belief of Islamic people. The entity to focus on is "Islamic people" or "Islam" and the property is related to "pray to" or "worship". I will first search for the entity "Islam" in the knowledge graph.

[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

[Assistant] The entity "Islam" is identified as fb:m.0flw86 which is a religion. Now I will search for properties related to praying or worshiping for this entity. I will search for properties of the entity Islam with the query "pray" or "worship".

[Tool]
Top 10 property alternatives:
1. Beliefs (fb:religion.religion.beliefs): part of Religion schema, links to type Belief
2. Deity Or Deities (fb:religion.religion.deities): part of Religion schema, links to type Deity
3. Name (fb:type.object.name): part of Object schema, links to type Text
4. Places of worship (current) (fb:religion.religion.places_of_worship): links to type Place of worship, part of Religion schema
5. Practices (fb:religion.religion.practices): links to type Religious Practice, part of Religion schema
6. Texts (fb:religion.religion.texts): links to type Religious Text, part of Religion schema
7. Key (fb:type.object.key): part of Object schema, links to type Key
8. Types of places of worship (fb:religion.religion.types_of_places_of_worship): links to type Type of place of worship, part of Religion schema
9. Sacred Sites (fb:religion.religion.sacred_sites): part of Religion schema, links to type Location
10. Image (fb:common.topic.image): part of Topic schema, links to type Image

No other items found

[Assistant] The property "Deity Or Deities" (fb:religion.religion.deities) seems relevant to the question of who Islamic people pray to. I will now query the deity or deities associated with Islam (fb:m.0flw86).

[Tool]
Got 3 rows and 2 columns:
| deity                    | deityName       |
| ------------------------ | --------------- |
| Ramdev Pir (fb:m.055v4c) | Ramdev Pir (en) |
| God (fb:m.0d05l6)        | God (en)        |
| Allah (fb:m.0jfd)        | Allah (en)      |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?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 FILTER ( lang( ?teamName ) = "en" )
  }
}

Wayne Gretzky's first professional 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] Let's start by looking at some examples.

[Tool]
Example 1:
Question:
who plays riley finn on buffy the vampire slayer?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01j9hw ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01j9hw fb:tv.tv_character.appeared_in_tv_program ?y .
  ?y fb:tv.regular_tv_appearance.actor ?x .
  ?y fb:tv.regular_tv_appearance.seasons fb:m.02xj992 .
}

Using entities:
Riley Finn, also known as Agent Finn (fb:m.01j9hw): Riley Finn is a fictional character created by Joss Whedon for t...ich both researches and combats the demons which roam Sunnydale., has type TV Character
Buffy the Vampire Slayer Season 4, also known as Buffy the Vampire Slayer (fb:m.02xj992): The fourth season of the television series Buffy the Vampire Sla...fy, and Wesley Wyndam-Pryce, who appeared in Buffy season three., This is Season 4 (1999-2000) of the American TV series Buffy the Vampire Slayer., has type TV Season

Using properties:
Actor (fb:tv.regular_tv_appearance.actor): part of TV Regular Performance schema, links to type TV Actor
Seasons (fb:tv.regular_tv_appearance.seasons): part of TV Regular Performance schema, links to type TV Season
Programs in which this was a regular character (fb:tv.tv_character.appeared_in_tv_program): links to type TV Regular Performance, part of TV Character schema

Example 2:
Question:
who played andy in toy story 3?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.04hwbq ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.04hwbq fb:film.film.starring ?y .
  ?y fb:film.performance.actor ?x .
  ?y fb:film.performance.character fb:m.0c09316 .
}

Using entities:
Toy Story 3, also known as Toy Story 3: An IMAX 3D Experience, Toy story 3 - La grande fuga, Toy Story 3: Príbeh hracek, Tzatzooa Shel Sippur 3, Wanju zong dongyuan 3 (fb:m.04hwbq): Toy Story 3 is a 2010 American 3D computer-animated comedy-drama...Schaal, Bonnie Hunt, and Jeff Garlin joining the returning cast., has type Award-Winning Work
Andy (fb:m.0c09316): Andy is a fictional character in the 2010 computer-animated 3D film Toy Story 3., Andy is a fictional character from the 1999 computer-animated film Toy Story 2., has type Film character

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

Example 3:
Question:
what timezone is toronto canada?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0h7h6 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0h7h6 fb:location.location.time_zones ?x .
}

Using entities:
Toronto, also known as t.dot, tranna, Toronto, Ontario, Canada, Toronto, Ontario, Toronto, Canada (fb:m.0h7h6): Toronto is the most populous city in Canada, and the capital of ...1834, and became the capital of the province of Ontario in 1867., has type City/Town/Village

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

[Assistant] The examples did not directly relate to sports or athletes, so I will now search for the entity "Wayne Gretzky" in the freebase knowledge graph to find the correct entity identifier. This will help me to find relevant properties related to his teams.

[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] The most relevant entity for Wayne Gretzky, the Canadian former professional ice hockey player, is fb:m.0839s. Next, I will search for properties related to teams or sports teams for this entity to find the property that indicates his first team.

[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.

[Tool]
Got 1 row and 2 columns:
| team                         | teamName             |
| ---------------------------- | -------------------- |
| Edmonton Oilers (fb:m.0jnmj) | Edmonton Oilers (en) |

[Assistant] Wayne Gretzky's team listed here is the Edmonton Oilers. To confirm if this was his first team, I will check if there is any property indicating the order or start date of his association with teams. I will search for properties related to "start" or "date" for the team roster entity.

[Tool]
Top 10 property alternatives:
1. Article (fb:common.topic.article): links to type Document, part of Topic schema
2. Career Start (fb:sports.pro_athlete.career_start): links to type Date/Time, part of Athlete schema
3. Official website (fb:common.topic.official_website): part of Topic schema, links to type URI
4. Description (fb:common.topic.description): part of Topic schema, links to type Text
5. Name (fb:type.object.name): part of Object schema, links to type Text
6. Key (fb:type.object.key): part of Object schema, links to type Key
7. Type (fb:type.object.type): part of Object schema, links to type Type
8. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
9. Teams (fb:sports.pro_athlete.teams): links to type Sports team roster, part of Athlete schema
10. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema

No other items found

[Assistant] There is a property "Career Start" (fb:sports.pro_athlete.career_start) for Wayne Gretzky that indicates the start date of his career. I will now check if the team roster entities have start dates or if the teams have any start date properties related to Wayne Gretzky. I will query the teams with their associated roster start dates if available.

[Tool]
Got 1 row and 3 columns:
| team                         | teamName             | startDate |
| ---------------------------- | -------------------- | --------- |
| Edmonton Oilers (fb:m.0jnmj) | Edmonton Oilers (en) |           |

[Assistant] The query did not return any start date for the team roster. I will now try to find the first team Wayne Gretzky played for by checking if there is a property indicating the first professional team or first team in general. I will search for properties related to "first team" or "first" for Wayne Gretzky.

[Tool]
Top 10 property alternatives:
1. Teams (fb:sports.pro_athlete.teams): links to type Sports team roster, part of Athlete schema
2. Hockey Position(s) (fb:ice_hockey.hockey_player.hockey_position): links to type Ice hockey position, part of Ice hockey player schema
3. Sports played (fb:sports.pro_athlete.sports_played_professionally): links to type Sports played, part of Athlete schema
4. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
5. Key (fb:type.object.key): part of Object schema, links to type Key
6. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
7. Official website (fb:common.topic.official_website): part of Topic schema, links to type URI
8. Parents (fb:people.person.parents): part of Person schema, links to type Person
9. Career Start (fb:sports.pro_athlete.career_start): links to type Date/Time, part of Athlete schema
10. Name (fb:type.object.name): part of Object schema, links to type Text

No other items found

[Assistant] There is no direct property for "first team" for Wayne Gretzky. Since the Edmonton Oilers is the only team listed under his teams, it is likely his first professional team. To confirm, I will check the career start date of Wayne Gretzky and see if there are any other teams listed with start dates earlier than the Edmonton Oilers.

[Tool]
Got 1 row and 1 column:
| careerStart      |
| ---------------- |
| 1978 (xsd:gYear) |

[Assistant] Wayne Gretzky's career started in 1978. I will now check if there are any other teams associated with him besides the Edmonton Oilers to verify if Edmonton Oilers was indeed his first team.

[Tool]
Got 1 row and 2 columns:
| team                         | teamName             |
| ---------------------------- | -------------------- |
| Edmonton Oilers (fb:m.0jnmj) | Edmonton Oilers (en) |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?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 Language, English Language, Korean Language, Esperanto Language, and Ainu Language.

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

[Tool]
Example 1:
Question:
what airport is in kauai hawaii?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.014wxc ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.014wxc fb:location.location.contains ?x .
  ?x fb:common.topic.notable_types fb:m.01xpjyz .
}

Using entities:
Hawaiian Islands (fb:m.014wxc): The Hawaiian Islands are an archipelago of eight major islands, ...e. The islands are about 1,860 miles from the nearest continent., has type Island Group
Airport (fb:m.01xpjyz): An airport is a facility where aircraft such as airplanes and helicopters can take off and land.

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

Example 2:
Question:
what wars have france been involved in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0f8l9c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0f8l9c fb:military.military_combatant.casualties ?y .
  ?y fb:military.casualties.military_conflict ?x .
}

Using entities:
France, also known as French Republic, République française, l'Hexagone (fb:m.0f8l9c): France, officially the French Republic, is a sovereign state com...g and paving the way for a future centralized absolute monarchy., has type Country

Using properties:
Military Conflict (fb:military.casualties.military_conflict): links to type Military Conflict, part of Casualties schema
Casualties (fb:military.military_combatant.casualties): part of Military Combatant schema, links to type Casualties

Example 3:
Question:
who played princess leia's mother in star wars?

SPARQL:
SELECT DISTINCT ?x WHERE {
  fb:m.0ddqw fb:fictional_universe.fictional_character.parents ?y .
  ?y fb:fictional_universe.fictional_character.gender fb:m.02zsn .
  ?y fb:film.film_character.portrayed_in_films ?z .
  ?z fb:film.performance.actor ?x .
}

Using entities:
Female, also known as Women, Woman, Girl, Gal, Dame (fb:m.02zsn): Female (♀) is the sex of an organism, or a part of an organism, ...esis). Some organisms can reproduce both sexually and asexually., Female is the sex of an organism, or a part of an organism, that...female mammals, including female humans, have two X chromosomes., has type Literature Subject
Leia Organa, also known as Leia Naberrie Skywalker, Your Worship, Princess Leia Organa, Princess Leia, Leia Organa Solo (fb:m.0ddqw): Princess Leia Organa of Alderaan is a fictional character in the...sters and major Expanded Universe characters in their own right., has type Film character

Using properties:
Gender (fb:fictional_universe.fictional_character.gender): part of Fictional Character schema, links to type Character Gender
Parents (fb:fictional_universe.fictional_character.parents): part of Fictional Character schema, links to type Fictional Character
Portrayed in films (fb:film.film_character.portrayed_in_films): links to type Film performance, part of Film character schema
Actor (fb:film.performance.actor): part of Film performance schema, links to type Film actor

[Assistant] From the examples, we see that the approach is to find the entity for the country (Japan) and then find the languages associated with it. Next, I will search for the entity "Japan" in the freebase 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. Now I will search for properties related to languages for this entity. I will search for properties of the entity Japan with the query "language".

[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) seems to be the relevant property to find the languages spoken in Japan. I will now write a SPARQL query to get the languages spoken in Japan using this property. I will also include labels for the languages.

[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 rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?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] Let's start by looking at some examples.

[Tool]
Example 1:
Question:
what country is joseph prince from?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02rjg1g ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02rjg1g fb:people.person.place_of_birth ?x .
}

Using entities:
Joseph Prince (fb:m.02rjg1g): Joseph Prince is the senior pastor of New Creation Church in Sin...s biggest churches. He was one of the church's founders in 1983., has type Author

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

Example 2:
Question:
who are the broncos players?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0289q ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0289q fb:sports.sports_team.roster ?y .
  ?y fb:sports.sports_team_roster.player ?x .
  FILTER ( NOT EXISTS {
    ?y fb:sports.sports_team_roster.from ?sk0
  }
  || EXISTS {
    ?y fb:sports.sports_team_roster.from ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) <= "2015-08-10" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:sports.sports_team_roster.to ?sk2
  }
  || EXISTS {
    ?y fb:sports.sports_team_roster.to ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) >= "2015-08-10" ^^ xsd:dateTime )
  }
  )
}

Using entities:
Denver Broncos, also known as Orange Crush (fb:m.0289q): The Denver Broncos are a professional American football team bas...e: John Elway, Floyd Little, Gary Zimmerman, and Shannon Sharpe., has type Professional Sports Team

Using properties:
Roster (fb:sports.sports_team.roster): links to type Sports team roster, part of Sports Team schema
From (fb:sports.sports_team_roster.from): part of Sports team roster schema, links to type Date/Time
Player (fb:sports.sports_team_roster.player): part of Sports team roster schema, links to type Athlete
To (fb:sports.sports_team_roster.to): part of Sports team roster schema, links to type Date/Time

Example 3:
Question:
what did whitney houston die off?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.086qd ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.086qd fb:people.deceased_person.cause_of_death ?x .
}

Using entities:
Whitney Houston, also known as Houston, Whitney, Nippy, The Prom Queen of Soul, The Voice, Whitney Elizabeth Houston (fb:m.086qd): Whitney Elizabeth Houston was an American singer, actress, produ...4 on the magazine's list of the 500 Greatest Albums of All Time., has type Musical Artist

Using properties:
Cause of death (fb:people.deceased_person.cause_of_death): part of Deceased Person schema, links to type Cause Of Death

[Assistant]
The question is about the currency used in Jamaica. We need to find the entity for Jamaica and then find a property related to currency or monetary unit used in that country.

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

[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 for Jamaica as a country is fb:m.03_r3. Next, I will search for properties related to currency or monetary unit for this entity.

[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 the relevant property for the currency used in Jamaica. Now, I will write a SPARQL query to get the currency used in Jamaica.

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

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?player ?playerName WHERE {
  fb:m.04vn5 fb:sports.sports_team.roster ?rosterMember .
  ?rosterMember fb:sports.sports_team_roster.player ?player .
  ?rosterMember fb:sports.sports_team_roster.number "22" .
  OPTIONAL {
    ?player rdfs:label ?playerName FILTER ( lang( ?playerName ) = 'en' )
  }
}
LIMIT 1

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] Let's start by looking at some examples.

[Tool]
Example 1:
Question:
where is the mozambique located?

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

Using entities:
Mozambique, also known as Republic of Mozambique, Republica de Mocambique, Mocambique (fb:m.04wlh): Mozambique, officially the Republic of Mozambique, is a country ...Mozambique is endowed with rich and extensive natural resources., has type Country

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

Example 2:
Question:
into what language family does english fall?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02h40lc ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02h40lc fb:language.human_language.language_family ?x .
}

Using entities:
English Language, also known as English language, Sekgoa, English, Anglit (fb:m.02h40lc): English is a West Germanic language that was first spoken in ear...ction of the printing press to London and the Great Vowel Shift., has type Human Language

Using properties:
Language Family (fb:language.human_language.language_family): part of Human Language schema, links to type Language Family

Example 3:
Question:
who does jamie campbell bower play in breaking dawn?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03nwmp1 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03nwmp1 fb:film.actor.film ?y .
  ?y fb:film.performance.character ?x .
  ?y fb:film.performance.film fb:m.075wx89 .
}

Using entities:
Jamie Campbell Bower, also known as James Metcalfe "Jamie" Campbell Bower, James Metcalfe Campbell Bower, James "Jamie" Campbell M. Bower, Bower, Jamie Campbell (fb:m.03nwmp1): James Metcalfe "Jamie" Campbell Bower is an English actor, singe...rt 1, and Jace Wayland in The Mortal Instruments: City of Bones., has type Musical Artist
The Twilight Saga: Breaking Dawn - Part 1, also known as Breaking Dawn: Part 1, Breaking Dawn – Part 1, Breaking Dawn - del 1, Breaking Dawn, Breaking Dawn - Bis(s) zum Ende der Nacht: Teil 1 (fb:m.075wx89): The Twilight Saga: Breaking Dawn – Part 1 is a 2011 American rom...redominantly negative critical reviews, it was a box office hit., The Twilight Saga: Breaking Dawn is the 2011 film based off the ...ed property is expected to start production in late spring 2010., has type Award-Winning Work

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

[Assistant]
The question is about the player who is number 22 on the Miami Dolphins. This involves identifying the Miami Dolphins as an entity (an American football team) and then finding 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 Miami Dolphins as a professional American football team is identified as fb:m.04vn5. Next, I will search for the players of the Miami Dolphins and check for the player with the jersey number 22. I will start by searching for properties related to players or team members for the entity fb:m.04vn5.

[Tool]
Top 10 property alternatives:
1. Sport (fb:sports.sports_team.sport): part of Sports Team schema, links to type Sport
2. Member of (fb:sports.sports_team.league): links to type Sports league participation, part of Sports Team schema
3. Position (fb:user.szaijan.fantasy_football.player.position): links to type Position, part of Player schema
4. Roster (fb:sports.sports_team.roster): links to type Sports team roster, part of Sports Team schema
5. Draft Picks (fb:sports.professional_sports_team.draft_picks): part of Professional Sports Team schema, links to type Sports League Draft Pick
6. Season Record (fb:sports.sports_team.season_record): links to type Sports Team Season Record, part of Sports Team schema
7. Key (fb:type.object.key): part of Object schema, links to type Key
8. Name (fb:type.object.name): part of Object schema, links to type Text
9. Sports Team Location (fb:sports.sports_team.location): links to type Sports Team Location, part of Sports Team schema
10. Home Games (fb:american_football.football_team.home_games): part of American football team schema, links to type American football game

No other items found

[Assistant] The property "Roster" (fb:sports.sports_team.roster) seems to be the most relevant to get the players of the Miami Dolphins team. Next, I will query the roster of the Miami Dolphins and check the players with jersey number 22. To do this, I need to find the property related to the jersey number or uniform number of a player. I will search for properties related to "jersey number" or "number" for a player entity.

[Tool]
Top 10 property alternatives:
1. Shirt Number (fb:soccer.football_player_match_participation.shirt_number): part of Football Player Match Participation schema, links to type Integer
2. Youth Classification jersey holder (fb:base.peleton.road_race_stage.youth_classification_jersey_holder): part of Road Race Stage schema, links to type Cyclist
3. Number (fb:boats.ship_powerplant_system.number): part of Ship Powerplant System schema, links to type Integer
4. Number (fb:user.cheunger.sports_test.roster_membership.number): part of Roster Membership schema, links to type Integer
5. Number (fb:base.californiahistory.landmark.number): part of California Historical Landmark schema, links to type Enumeration
6. Number (fb:base.rollerderby.team_performance.number): links to type Machine readable string, part of Team Performance schema
7. Number (fb:physics.subatomic_particle_composition.number): part of Subatomic particle composition schema, links to type Integer
8. Number (fb:user.alecf.recreation.park_feature_quantity.number): part of Park Feature Quantity schema, links to type Integer
9. Number (fb:base.slamdunk.player.number): links to type Integer, part of Player schema
10. Number (fb:base.schemastaging.road_extra.number): links to type Machine readable string, part of Road extra schema

[Assistant] There is a property "Number" (fb:user.cheunger.sports_test.roster_membership.number) related to roster membership number, which might be the jersey number. Also, there is another "Number" (fb:base.slamdunk.player.number) related to a player. I will check the roster members of the Miami Dolphins and see if the number property is used there. I will query the roster members of the Miami Dolphins and their numbers.

[Tool]
Got 50 rows and 2 columns, showing the first 5 and last 5 rows below:
| player        | number |
| ------------- | ------ |
| fb:m.0101cdd3 |        |
| fb:m.0102_0xq |        |
| fb:m.0104b_ht |        |
| fb:m.0104bzp0 |        |
| fb:m.0106pgc9 |        |
| ...           | ...    |
| fb:m.07djmv4  |        |
| fb:m.07djmvn  |        |
| fb:m.07djmw2  |        |
| fb:m.07djn0y  |        |
| fb:m.07djn3v  |        |

[Assistant] The query returned players in the roster of the Miami Dolphins, but the jersey number property fb:user.cheunger.sports_test.roster_membership.number did not return any values. I will try the other "Number" property (fb:base.slamdunk.player.number) for the players to see if it holds the jersey number. I will query the players with this property.

[Tool]
Got 50 rows and 2 columns, showing the first 5 and last 5 rows below:
| player        | number |
| ------------- | ------ |
| fb:m.0101cdd3 |        |
| fb:m.0102_0xq |        |
| fb:m.0104b_ht |        |
| fb:m.0104bzp0 |        |
| fb:m.0106pgc9 |        |
| ...           | ...    |
| fb:m.07djmv4  |        |
| fb:m.07djmvn  |        |
| fb:m.07djmw2  |        |
| fb:m.07djn0y  |        |
| fb:m.07djn3v  |        |

[Assistant] The property fb:base.slamdunk.player.number also did not return any jersey numbers for the players. I will try to find other properties related to "number" or "jersey number" for the players in the roster. I will search for properties of one of the players to see if there is a property for jersey number. I will pick the first player fb:m.0101cdd3 and search for properties related to "number".

[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 "Number" (fb:sports.sports_team_roster.number) is related to the sports team roster and likely represents the jersey number. The player entity fb:m.0101cdd3 seems to be part of a sports team roster, so the jersey number might be linked through a roster membership entity. I will now query the roster members of the Miami Dolphins with their jersey numbers using this property.

[Tool]
Got 50 rows and 3 columns, showing the first 5 and last 5 rows below:
| player                       | playerName          | number |
| ---------------------------- | ------------------- | ------ |
| Chris McCain (fb:m.011sr5f1) | Chris McCain (en)   | 47     |
| Dan Marino (fb:m.01g140)     | Dan Marino (en)     | 13     |
| Larry Csonka (fb:m.01pbfy)   | Larry Csonka (en)   | 39     |
| Larry Csonka (fb:m.01pbfy)   | Larry Csonka (en)   | 39     |
| Chris Chambers (fb:m.01z8wp) | Chris Chambers (en) | 84     |
| ...                          | ...                 | ...    |
| Dan Carpenter (fb:m.043pvfs) | Dan Carpenter (en)  | 5      |
| Shawn Murphy (fb:m.043q0f2)  | Shawn Murphy (en)   | 61     |
| Joey Haynos (fb:m.043r6pg)   | Joey Haynos (en)    | 81     |
| Erik Walden (fb:m.043s0k8)   | Erik Walden (en)    | 50     |
| David Garrard (fb:m.04d4zv)  | David Garrard (en)  | 9      |

[Assistant] I have retrieved a list of players with their jersey numbers from the Miami Dolphins roster. Now I will filter the player who has the jersey number 22.

[Tool]
Got 1 row and 2 columns:
| player                    | playerName       |
| ------------------------- | ---------------- |
| Reggie Bush (fb:m.05cb70) | Reggie Bush (en) |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?continent ?continentLabel WHERE {
  fb:m.0345h fb:base.locations.countries.continent ?continent .
  OPTIONAL {
    ?continent rdfs:label ?continentLabel .
    FILTER ( lang( ?continentLabel ) = 'en' )
  }
}

Got 1 row and 2 columns:
| continent           | continentLabel |
| ------------------- | -------------- |
| Europe (fb:m.02j9z) | Europe (en)    |

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] Let's start by looking at some examples.

[Tool]
Example 1:
Question:
where was president chester arthur born?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01vb2 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01vb2 fb:people.person.place_of_birth ?x .
}

Using entities:
Chester A. Arthur, also known as Chester Arthur, Chester Alan Arthur (fb:m.01vb2): Chester Alan Arthur was the 21st President of the United States;...rt of a plan to reform the federal patronage system in New York., has type US President

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

Example 2:
Question:
what did audrey hepburn died of?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0dqcm ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0dqcm fb:people.deceased_person.cause_of_death ?x .
}

Using entities:
Audrey Hepburn, also known as Audrey Kathleen Hepburn-Ruston, Audrey Kathleen Ruston, Edda van Heemstra, Edda van Heemstra Hepburn-Ruston (fb:m.0dqcm): Audrey Hepburn was a British actress and humanitarian. Recognise... including English, French, Dutch, Italian, Spanish, and German., has type Celebrity

Using properties:
Cause of death (fb:people.deceased_person.cause_of_death): part of Deceased Person schema, links to type Cause Of Death

Example 3:
Question:
what contribution did hooke made to science in 1665?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0d6j4 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0d6j4 fb:law.inventor.inventions ?x .
}

Using entities:
Robert Hooke (fb:m.0d6j4): Robert Hooke FRS was an English natural philosopher, architect a...ay. Allan Chapman has characterised him as "England's Leonardo"., has type Academic

Using properties:
Inventions (fb:law.inventor.inventions): links to type Invention, part of Inventor schema

[Assistant]
The examples show how to query for a place related to a person or an entity. In our case, we want to find the continent of Germany. We should first identify the entity for Germany and then find a property that links Germany to a continent or a similar geographical classification.

Step 1: Search for the entity "Germany" in the 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 fb:m.0345h. Next, I will search for properties of this entity that might relate to its continent or geographical location.

[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] There is a property "Continent" (fb:base.locations.countries.continent) for the entity Germany (fb:m.0345h) that links to the type Continents. I will now construct a SPARQL query to find the continent of Germany using this property.

[Tool]
Got 1 row and 2 columns:
| continent           | continentLabel |
| ------------------- | -------------- |
| Europe (fb:m.02j9z) | Europe (en)    |

[Tool] Stopped generation process