PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?wife ?wifeName WHERE {
  fb:m.0cm83 fb:people.person.spouse_s ?marriage .
  ?marriage fb:people.marriage.spouse ?wife .
  ?wife fb:people.person.gender fb:m.02zsn .
  OPTIONAL {
    ?wife fb:type.object.name ?wifeName .
  }
}

Got 37 rows and 2 columns, showing the first 5 and last 5 rows below:
| wife                                          | wifeName                               |
| --------------------------------------------- | -------------------------------------- |
| Queen Elizabeth The Queen Mother (fb:m.0cm63) | Alžbeta, kráľovná matka (sk)           |
| Queen Elizabeth The Queen Mother (fb:m.0cm63) | Bowes-Lyon Erzsébet brit királyné (hu) |
| Queen Elizabeth The Queen Mother (fb:m.0cm63) | Elisabet (fi)                          |
| Queen Elizabeth The Queen Mother (fb:m.0cm63) | Elisabet Bowes-Lyon (ca)               |
| Queen Elizabeth The Queen Mother (fb:m.0cm63) | Elizabete Bousa-Laiona (lv)            |
| ...                                           | ...                                    |
| Queen Elizabeth The Queen Mother (fb:m.0cm63) | เอลิซาเบธ โบวส์-ลีออน (th)             |
| Queen Elizabeth The Queen Mother (fb:m.0cm63) | 엘리자베스 보우스라이언 (ko)                      |
| Queen Elizabeth The Queen Mother (fb:m.0cm63) | エリザベス・ボーズ＝ライアン (ja)                    |
| Queen Elizabeth The Queen Mother (fb:m.0cm63) | 伊丽莎白·鲍斯-莱昂 (zh)                        |
| Queen Elizabeth The Queen Mother (fb:m.0cm63) | 伊麗莎白·鮑斯-萊昂 (zh-Hant)                   |

The wife of King George VI is Queen Elizabeth The Queen Mother (fb:m.0cm63).

[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 is the name of king george vi wife?

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

[Tool]
Example 1:
Question:
what did king george vi die of?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0cm83 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0cm83 fb:people.deceased_person.cause_of_death ?x .
}

Using entities:
George VI, also known as Albert Frederick Arthur George, Prince Albert, King George VI, King George, H.M. King George VI (fb:m.0cm83): George VI was King of the United Kingdom and the Dominions of th...and its transition into the Commonwealth of Nations accelerated., has type Monarch

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

Example 2:
Question:
who was the wife of king edward vii?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0cm03 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0cm03 fb:people.person.spouse_s ?y .
  ?y fb:people.marriage.spouse ?x .
  ?x fb:people.person.gender fb:m.02zsn .
}

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
Edward VII (fb:m.0cm03): Edward VII was King of the United Kingdom and the British Domini... and broadened the range of people with whom royalty socialised., has type Monarch

Using properties:
Spouse (fb:people.marriage.spouse): part of Marriage schema, links to type Person
Gender (fb:people.person.gender): part of Person schema, links to type Gender
Spouse (or domestic partner) (fb:people.person.spouse_s): links to type Marriage, part of Person schema

Example 3:
Question:
who was king george v father?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0cmpn ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0cmpn fb:people.person.parents ?x .
  ?x fb:people.person.gender fb:m.05zppz .
}

Using entities:
Male, also known as Men, Man, Guy, Dude, Boy (fb:m.05zppz): A male organism is the physiological sex that produces sperm. Ea... sex depending on the number of females present in the vicinity., has type Risk Factor
George V, also known as George Frederick Ernest Albert, Prince of Wales, George Frederick Ernest Albert Wettin (fb:m.0cmpn): George V was King of the United Kingdom and the British Dominion...xe-Coburg and Gotha as a result of anti-German public sentiment., has type Monarch

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

[Assistant]
From the similar example about the wife of King Edward VII, I see that the property fb:people.person.spouse_s is used to find the spouse of a person, and the spouse is linked to a marriage entity which then links to the other spouse. Also, the gender property fb:people.person.gender is used to filter for female spouses.

Next, I will search for the entity of King George VI in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. George VI, also known as Albert Frederick Arthur George, Prince Albert, King George VI, King George, H.M. King George VI (fb:m.0cm83): George VI was King of the United Kingdom and the Dominions of th...and its transition into the Commonwealth of Nations accelerated., has type Monarch
2. Bertie, also known as Bertie, King George VI, aka 'Bertie', King George VI, King George, Duke of York (fb:m.0b_srmv): Fictional representation of George VI, the King of the United Ki... the British Commonwealth from 11 December 1936 until his death., Bertie  is a fictional character from the 2011 film W.E., has type Film character
3. King George VI (fb:m.0cb_67d): has type Book Edition
4. King George VI (fb:m.0g72725): has type Musical Recording
5. King George VI (fb:m.0zp9g1q): has type Composition
6. King George VI (fb:m.0kl1tyh): has type Artwork
7. King George VI (fb:m.0rsb8pd)
8. King George VI (fb:m.0mz_j22)
9. King George, also known as King George, Virginia (fb:m.0dw8mr): King George is a census-designated place in and the county seat ...ice Hall are listed on the National Register of Historic Places., has type City/Town/Village
10. King George VI Chase (fb:m.0b88xm): The King George VI Chase is a Grade 1 National Hunt chase in Gre...chid has won it four times and Kauto Star has won it five times., has type Recurring competition

[Assistant] The entity for King George VI is fb:m.0cm83. Now I will search for the spouse property of this entity to find the wife of King George VI.

[Tool]
Top 10 property alternatives:
1. Spouse (or domestic partner) (fb:people.person.spouse_s): links to type Marriage, part of Person schema
2. Family (fb:people.family_member.family): part of Family member schema, links to type Family
3. Profession (fb:people.person.profession): links to type Profession, part of Person schema
4. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
5. Gender (fb:people.person.gender): part of Person schema, links to type Gender
6. Name (fb:type.object.name): part of Object schema, links to type Text
7. Member of (fb:organization.organization_member.member_of): links to type Organization membership, part of Organization member schema
8. Date of death (fb:people.deceased_person.date_of_death): part of Deceased Person schema, links to type Date/Time
9. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
10. Key (fb:type.object.key): part of Object schema, links to type Key

No other items found

[Assistant] The property fb:people.person.spouse_s is the spouse property for King George VI. I will now write a SPARQL query to find the wife of King George VI using this property and filter for female gender. I will also try to get the name of the wife.

[Tool]
Got 37 rows and 2 columns, showing the first 5 and last 5 rows below:
| wife                                          | wifeName                               |
| --------------------------------------------- | -------------------------------------- |
| Queen Elizabeth The Queen Mother (fb:m.0cm63) | Alžbeta, kráľovná matka (sk)           |
| Queen Elizabeth The Queen Mother (fb:m.0cm63) | Bowes-Lyon Erzsébet brit királyné (hu) |
| Queen Elizabeth The Queen Mother (fb:m.0cm63) | Elisabet (fi)                          |
| Queen Elizabeth The Queen Mother (fb:m.0cm63) | Elisabet Bowes-Lyon (ca)               |
| Queen Elizabeth The Queen Mother (fb:m.0cm63) | Elizabete Bousa-Laiona (lv)            |
| ...                                           | ...                                    |
| Queen Elizabeth The Queen Mother (fb:m.0cm63) | เอลิซาเบธ โบวส์-ลีออน (th)             |
| Queen Elizabeth The Queen Mother (fb:m.0cm63) | 엘리자베스 보우스라이언 (ko)                      |
| Queen Elizabeth The Queen Mother (fb:m.0cm63) | エリザベス・ボーズ＝ライアン (ja)                    |
| Queen Elizabeth The Queen Mother (fb:m.0cm63) | 伊丽莎白·鲍斯-莱昂 (zh)                        |
| Queen Elizabeth The Queen Mother (fb:m.0cm63) | 伊麗莎白·鮑斯-萊昂 (zh-Hant)                   |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?profession ?professionLabel WHERE {
  fb:m.02g3w fb:people.person.profession ?profession .
  OPTIONAL {
    ?profession rdfs:label ?professionLabel .
    FILTER ( lang( ?professionLabel ) = "en" )
  }
}

Got 11 rows and 2 columns, showing the first 5 and last 5 rows below:
| profession                        | professionLabel          |
| --------------------------------- | ------------------------ |
| Animator (fb:m.015h31)            | Animator (en)            |
| Cartoonist (fb:m.0196pc)          | Cartoonist (en)          |
| Film Producer (fb:m.01d_h8)       | Film Producer (en)       |
| Illustrator (fb:m.020xn5)         | Illustrator (en)         |
| Television producer (fb:m.03gjzk) | Television producer (en) |
| ...                               | ...                      |
| Poet (fb:m.05z96)                 | Poet (en)                |
| Writer (fb:m.0cbd2)               | Writer (en)              |
| Screenwriter (fb:m.0dxtg)         | Screenwriter (en)        |
| Artist (fb:m.0n1h)                | Artist (en)              |
| Songwriter (fb:m.0nbcg)           | Songwriter (en)          |

Dr. Seuss (Theodore Seuss Geisel) had multiple professions including animator, cartoonist, film producer, illustrator, television producer, poet, writer, screenwriter, artist, and songwriter.

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

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

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

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

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

[User] what did dr. seuss do?

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

[Tool]
Example 1:
Question:
what was the title of the first book dr. seuss wrote?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02g3w ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02g3w fb:book.author.works_written ?x .
  ?x fb:common.topic.notable_types fb:m.01xryvm .
  ?x fb:book.written_work.copyright_date ?sk0 .
}
ORDER BY xsd:datetime ( ?sk0 )
LIMIT 1

Using entities:
Book (fb:m.01xryvm): A book is a written work or a collection of written works in boo...For more information, please see the Freebase wiki page on book.
Theodore Lesieg, also known as Theodore Sieg, Theodor Geisel, Theodor Seuss Geisel, Theodor S. Geisel, Theo LeSieg (fb:m.02g3w): Theodor Seuss Geisel was an American writer and illustrator best... which later won the 1947 Academy Award for Documentary Feature., has type Author

Using properties:
Works written (fb:book.author.works_written): links to type Written Work, part of Author schema
Copyright date (fb:book.written_work.copyright_date): part of Written Work schema, links to type Date/Time
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type

Example 2:
Question:
where did dr seuss go to school?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02g3w ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02g3w fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
}

Using entities:
Theodore Lesieg, also known as Theodore Sieg, Theodor Geisel, Theodor Seuss Geisel, Theodor S. Geisel, Theo LeSieg (fb:m.02g3w): Theodor Seuss Geisel was an American writer and illustrator best... which later won the 1947 Academy Award for Documentary Feature., has type Author

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

Example 3:
Question:
what did einstein do?

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

Using entities:
Albert Einstein, also known as Einstein (fb:m.0jcx): Albert Einstein was a German-born theoretical physicist. He deve...his explanations of particle theory and the motion of molecules., has type Academic

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

[Assistant]
From the similar examples, I see that "dr. seuss" corresponds to the entity Theodore Seuss Geisel (fb:m.02g3w) in Freebase. To answer the question "what did dr. seuss do?", the relevant property to look for is likely "profession" or "occupation" which indicates what a person did or their job.

I will now search for the professions or occupations of Theodore Seuss Geisel in Freebase.

[Tool]
Got 11 rows and 3 columns, showing the first 10 rows below:
| subject                      | property                                 | object                            |
| ---------------------------- | ---------------------------------------- | --------------------------------- |
| Theodore Lesieg (fb:m.02g3w) | Profession (fb:people.person.profession) | Film Producer (fb:m.01d_h8)       |
| Theodore Lesieg (fb:m.02g3w) | Profession (fb:people.person.profession) | Screenwriter (fb:m.0dxtg)         |
| Theodore Lesieg (fb:m.02g3w) | Profession (fb:people.person.profession) | Writer (fb:m.0cbd2)               |
| Theodore Lesieg (fb:m.02g3w) | Profession (fb:people.person.profession) | Television producer (fb:m.03gjzk) |
| Theodore Lesieg (fb:m.02g3w) | Profession (fb:people.person.profession) | Songwriter (fb:m.0nbcg)           |
| Theodore Lesieg (fb:m.02g3w) | Profession (fb:people.person.profession) | Artist (fb:m.0n1h)                |
| Theodore Lesieg (fb:m.02g3w) | Profession (fb:people.person.profession) | Poet (fb:m.05z96)                 |
| Theodore Lesieg (fb:m.02g3w) | Profession (fb:people.person.profession) | Visual Artist (fb:m.03hz6vv)      |
| Theodore Lesieg (fb:m.02g3w) | Profession (fb:people.person.profession) | Animator (fb:m.015h31)            |
| Theodore Lesieg (fb:m.02g3w) | Profession (fb:people.person.profession) | Cartoonist (fb:m.0196pc)          |
| ...                          | ...                                      | ...                               |

[Assistant]
The professions of Dr. Seuss (Theodore Seuss Geisel) include film producer, screenwriter, writer, television producer, songwriter, artist, poet, visual artist, animator, and cartoonist.

I will now construct a SPARQL query to retrieve these professions along with their labels.

[Tool]
Got 11 rows and 2 columns, showing the first 5 and last 5 rows below:
| profession                        | professionLabel          |
| --------------------------------- | ------------------------ |
| Animator (fb:m.015h31)            | Animator (en)            |
| Cartoonist (fb:m.0196pc)          | Cartoonist (en)          |
| Film Producer (fb:m.01d_h8)       | Film Producer (en)       |
| Illustrator (fb:m.020xn5)         | Illustrator (en)         |
| Television producer (fb:m.03gjzk) | Television producer (en) |
| ...                               | ...                      |
| Poet (fb:m.05z96)                 | Poet (en)                |
| Writer (fb:m.0cbd2)               | Writer (en)              |
| Screenwriter (fb:m.0dxtg)         | Screenwriter (en)        |
| Artist (fb:m.0n1h)                | Artist (en)              |
| Songwriter (fb:m.0nbcg)           | Songwriter (en)          |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?latitude ?longitude WHERE {
  fb:m.0g5r_z_ fb:location.location.geolocation ?geolocation .
  ?geolocation fb:location.geocode.latitude ?latitude ; fb:location.geocode.longitude ?longitude .
}

The MTS Iceplex in Winnipeg is located at latitude 49.885556 and longitude -97.328056.

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

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

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

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

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

[User] where is the mts iceplex in winnipeg?

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

[Tool] No examples found

[Assistant] There are no similar example questions available for this query. Next, I will search for the entity "MTS Iceplex" in the Freebase knowledge graph to find its identifier and related information. This will help us construct a query to find its location.

[Tool]
Top 10 entity alternatives:
1. MTS Iceplex (fb:m.0g5r_z_): The MTS Iceplex and Hockey Canada Centre of Excellence is an ice... League use the Iceplex as their practice and training facility., has type Venue
2. MTS, also known as Mobile Telesystems Ojsc, MTC (fb:m.040lw5): MTS is the largest mobile operator in Russia and CIS with over 1... and began expansion, later entering other countries of the CIS., Mobile Telesystems Ojsc is a Telecom company., has type Business Operation
3. Ometz, Israel, also known as אומץ, אמץ (fb:m.04cy6wq): Ometz is a moshav in central Israel. Located in the coastal plai...; the second is that is an acronym for Irgun Mishuhrarei Tzahal., has type City/Town/Village
4. MTS, also known as MTS (fb:m.0f9kcvg): has type Musical Group
5. MTS, also known as M.T.S. (fb:m.01p5s3w): has type Musical Group
6. MTS (fb:m.011v8jth): MTS was a Eurodance project formed in Canada. The project consis...ing Under Hot 100 Singles. In 1997 they released a studio album.
7. MTS (fb:m.0tnrlg6): has type Musical Recording
8. mts (fb:m.042zv3q): Used for AVCHD filesWhat is AVCHD?AVCHD (Advanced Video Codec Hi...eld video camera recording formats, particularly HDV and MiniDV., has type File Format
9. MTS (fb:m.0h00s_j)
10. MTS (fb:m.0tnyl14)

[Assistant] The entity "MTS Iceplex" is found with the identifier fb:m.0g5r_z_. It is described as the MTS Iceplex and Hockey Canada Centre of Excellence, an ice venue. Now, I will search for properties of this entity to find one that relates to its location or address.

[Tool]
Top 10 property alternatives:
1. Name (fb:type.object.name): part of Object schema, links to type Text
2. Home venue for (fb:sports.sports_facility.home_venue_for): links to type Team/venue relationship, part of Sports Facility schema
3. Description (fb:common.topic.description): part of Topic schema, links to type Text
4. Geolocation (fb:location.location.geolocation): part of Location schema, links to type Geocode
5. Key (fb:type.object.key): part of Object schema, links to type Key
6. Teams (fb:sports.sports_facility.teams): part of Sports Facility schema, links to type Sports Team
7. Article (fb:common.topic.article): links to type Document, part of Topic schema
8. Opened (fb:architecture.structure.opened): part of Structure schema, links to type Date/Time
9. Type (fb:type.object.type): part of Object schema, links to type Type
10. Contained by (fb:location.location.containedby): part of Location schema, links to type Location

No other items found

[Assistant] The property "Geolocation" (fb:location.location.geolocation) seems to be the most relevant for finding the location of the MTS Iceplex. I will now construct a SPARQL query to retrieve the geolocation of the MTS Iceplex (fb:m.0g5r_z_). Additionally, I will try to get the label of the geolocation if available.

[Tool]
Got 1 row and 2 columns:
| geolocation  | geolocationLabel |
| ------------ | ---------------- |
| fb:m.0wmrszd |                  |

[Assistant] The MTS Iceplex has a geolocation entity with the identifier fb:m.0wmrszd, but it does not have an English label. I will now look for properties of this geolocation entity to find more specific location information such as address or coordinates.

[Tool]
Got 4 rows and 3 columns:
| subject      | property                                  | object                        |
| ------------ | ----------------------------------------- | ----------------------------- |
| fb:m.0wmrszd | Type (fb:type.object.type)                | Geocode (fb:location.geocode) |
| fb:m.0wmrszd | Latitude (fb:location.geocode.latitude)   | 49.885556                     |
| fb:m.0wmrszd | Longitude (fb:location.geocode.longitude) | -97.328056                    |
| fb:m.0wmrszd | rdf:type                                  | Geocode (fb:location.geocode) |

[Assistant] The geolocation entity fb:m.0wmrszd has latitude 49.885556 and longitude -97.328056. These coordinates represent the location of the MTS Iceplex in Winnipeg. I will now provide the final answer with these coordinates.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?event ?date WHERE {
  {
    ?event fb:sports.sports_championship_event.runner_up fb:m.01y3c .
  } UNION {
    ?event fb:sports.sports_championship_event.champion fb:m.01y3c .
  }
  ?event fb:sports.sports_championship_event.championship fb:m.06x5s .
  OPTIONAL {
    ?event fb:time.event.end_date ?date
  }
}
ORDER BY ?date

The Carolina Panthers went to the Super Bowl once, in Super Bowl XXXVIII, which took place on 2004-02-01.

[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] when did carolina panthers go to superbowl?

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

[Tool]
Example 1:
Question:
what year did arizona cardinals go to superbowl?

SPARQL:
SELECT DISTINCT ?x WHERE {
  fb:m.06x5s fb:sports.sports_championship.events ?x .
  {
    {
      ?x fb:sports.sports_championship_event.runner_up fb:m.0ws7 .
    } UNION {
      ?x fb:sports.sports_championship_event.champion fb:m.0ws7 .
    }
  }
}

Using entities:
Super Bowl, also known as Superbowl start, Superbowl kickoff what time, Super Bowl NFL, Super bowl played, Superbowl played (fb:m.06x5s): The Super Bowl is the annual championship game of the National F...ue with 26 wins to 23 wins for the American Football Conference., has type Sports League Championship
Arizona Cardinals, also known as The Cards, The Buzzsaw, The Birds, Chicago Cardinals, Big Red (fb:m.0ws7): The Arizona Cardinals are a professional American football team ... of Glendale, although the team's training facility is in Tempe., has type Professional Sports Team

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

Example 2:
Question:
when was the last time the new england patriots won the superbowl?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.05g3b ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.05g3b fb:sports.sports_team.championships ?x .
  ?x fb:sports.sports_championship_event.championship fb:m.06x5s .
  ?x fb:time.event.end_date ?sk0 .
}
ORDER BY DESC ( xsd:datetime ( ?sk0 ) )
LIMIT 1

Using entities:
New England Patriots, also known as Pats, The Patsies (fb:m.05g3b): The New England Patriots are a professional American football te... notched consecutive playoff appearances twice in their history., has type Professional Sports Team
Super Bowl, also known as Superbowl start, Superbowl kickoff what time, Super Bowl NFL, Super bowl played, Superbowl played (fb:m.06x5s): The Super Bowl is the annual championship game of the National F...ue with 26 wins to 23 wins for the American Football Conference., has type Sports League Championship

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

Example 3:
Question:
when did the raiders win the superbowl?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.05l71 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.05l71 fb:sports.sports_team.championships ?x .
}

Using entities:
Oakland Raiders, also known as The World's Team, The Team of the Decades, The Silver and Black, The Raiders, The Oakland Traitors (fb:m.05l71): The Oakland Raiders are a professional American football franchi...on six division titles and played in six AFC championship games., has type Professional Sports Team

Using properties:
Championships (fb:sports.sports_team.championships): links to type Sports League Championship Event, part of Sports Team schema

[Tool]
Top 10 entity alternatives:
1. Carolina Panthers (fb:m.01y3c): The Carolina Panthers are a professional American football club ..., one of them in the NFC West and four of them in the NFC South., has type Professional Sports Team
2. The Carolina Panthers (fb:m.06q1sd2): has type Book
3. The Carolina Panthers (fb:m.06jvjz0): has type Book
4. The Carolina Panthers (fb:m.06f1pmq): has type Book
5. Carolina Panthers Helmet (fb:m.02kzw_6)
6. Carolina Panthers seasons (fb:m.08sq789)
7. 2010 Carolina Panthers season (fb:m.09v1910): The 2010 Carolina Panthers season is the franchise's 16th season...ach John Fox and his entire coaching staff would not be renewed.
8. 2015 Carolina Panthers season (fb:m.012hfrq3): The 2015 Carolina Panthers season will be the franchise's upcomi...n the team's history they will play on Thanksgiving this season.
9. 2014 Carolina Panthers season (fb:m.0zrn8b0): The 2014 Carolina Panthers season was the franchise's 20th seaso...round, but lost to the Seattle Seahawks in the Divisional round.
10. 2012 Carolina Panthers season (fb:m.0hzpgwn): The 2012 Carolina Panthers season was the franchise's 18th seaso...on Facebook to make the call, but the vote ended in a 50/50 tie.

[Tool]
Top 10 entity alternatives:
1. Super Bowl, also known as Superbowl start, Superbowl kickoff what time, Super Bowl NFL, Super bowl played, Superbowl played (fb:m.06x5s): The Super Bowl is the annual championship game of the National F...ue with 26 wins to 23 wins for the American Football Conference., has type Sports League Championship
2. Super Bowl (fb:m.07cgs9p): Super Bowl is a sport TV program., has type Award-Winning Work
3. Super bowl (fb:american_football.super_bowl)
4. Super Bowl, the game of their lives, also known as Super Bowl (fb:m.04twwx6): has type Book Edition
5. Super Bowl (fb:m.05dk778): Hank throws a Superbowl party, which all his coworkers attend...... hook up cable.  So the friends settle on an evening of karaoke., has type TV Episode
6. Super Bowl (fb:m.02q0bfd): After Meatwad finds two Super Bowl tickets inside a bag of chips...st goes to Meatwad's head and takes advantage of Carl and Shake., has type TV Episode
7. Super Bowl (fb:m.05dj71b): The Lopez family finds out that Benny's estranged brother, Uncle...th when he was younger, he has difficulty attending the funeral., has type TV Episode
8. Super Bowl (fb:m.05dqmsr): It's Super Bowl week on the Biggest Loser ranch, and that means ... weigh-in and elimination that will leave one team heading home., has type TV Episode
9. Super Bowl (fb:m.06yw5b5): Ray is mortified when he realizes that Marie used to read the pe...er has learned about his most personal, and perverted, thoughts., has type TV Episode
10. Super Bowl (fb:m.0ydghkg): has type Musical Recording

[Tool] Got no rows and 2 columns

[Tool] Got no rows and 2 columns

[Tool]
Got 1 row and 2 columns:
| event                            | date                  |
| -------------------------------- | --------------------- |
| Super Bowl XXXVIII (fb:m.0277y8) | 2004-02-01 (xsd:date) |

[Tool]
Got 1 row and 2 columns:
| event                            | date                  |
| -------------------------------- | --------------------- |
| Super Bowl XXXVIII (fb:m.0277y8) | 2004-02-01 (xsd:date) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?championship ?start_date WHERE {
  fb:m.0jm3v fb:sports.sports_team.championships ?championship .
  ?championship fb:time.event.start_date ?start_date .
}
ORDER BY DESC ( ?start_date )
LIMIT 1

The last time the New York Knicks won the championship was in 1973, specifically the 1973 NBA Finals.

[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] when was the last time knicks won the championship?

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

[Tool]
Example 1:
Question:
when did the ny knicks last win a championship?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0jm3v ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0jm3v fb:sports.sports_team.championships ?x .
  ?x fb:time.event.start_date ?sk0 .
}
ORDER BY DESC ( xsd:datetime ( ?sk0 ) )
LIMIT 1

Using entities:
New York Knicks, also known as Knicks (fb:m.0jm3v): The New York Knickerbockers, commonly referred to as the Knicks,...ly guided the Knicks to two NBA championships, in 1970 and 1973., has type Professional Sports Team

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

Example 2:
Question:
what years did the knicks win the championship?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0jm3v ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0jm3v fb:sports.sports_team.championships ?x .
}

Using entities:
New York Knicks, also known as Knicks (fb:m.0jm3v): The New York Knickerbockers, commonly referred to as the Knicks,...ly guided the Knicks to two NBA championships, in 1970 and 1973., has type Professional Sports Team

Using properties:
Championships (fb:sports.sports_team.championships): links to type Sports League Championship Event, part of Sports Team schema

Example 3:
Question:
when did the new york knicks win a championship?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0jm3v ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0jm3v fb:sports.sports_team.championships ?x .
}

Using entities:
New York Knicks, also known as Knicks (fb:m.0jm3v): The New York Knickerbockers, commonly referred to as the Knicks,...ly guided the Knicks to two NBA championships, in 1970 and 1973., has type Professional Sports Team

Using properties:
Championships (fb:sports.sports_team.championships): links to type Sports League Championship Event, part of Sports Team schema

[Assistant]
From the similar examples, I see that the New York Knicks entity is fb:m.0jm3v and the property for championships is fb:sports.sports_team.championships. The last time they won the championship can be found by ordering the championships by their start date in descending order and taking the first result.

I will now execute a query to find the last time the Knicks won the championship by getting the championship events and ordering them by their start date in descending order, limiting the result to 1.

[Tool]
Got 1 row and 2 columns:
| championship                  | start_date            |
| ----------------------------- | --------------------- |
| 1973 NBA Finals (fb:m.0cs1kg) | 1973-05-01 (xsd:date) |

[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.027rn fb:location.country.currency_used ?currency .
  OPTIONAL {
    ?currency rdfs:label ?currencyLabel FILTER ( lang( ?currencyLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| currency                     | currencyLabel       |
| ---------------------------- | ------------------- |
| Dominican peso (fb:m.04lt7_) | Dominican peso (en) |

The currency of the Dominican Republic is the Dominican peso.

[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 kind of currency does the dominican republic have?

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

[Tool]
Example 1:
Question:
what currency does the dominican republic?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.027rn ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.027rn fb:location.country.currency_used ?x .
}

Using entities:
Dominican Republic, also known as República Dominicana (fb:m.027rn): The Dominican Republic is a country on the island of Hispaniola,...y removed by the Haitian government and Dominican slave revolts., has type Country

Using properties:
Currency Used (fb:location.country.currency_used): links to type Currency, part of Country schema

Example 2:
Question:
what is currency in dominican republic?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.027rn ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.027rn fb:location.country.currency_used ?x .
}

Using entities:
Dominican Republic, also known as República Dominicana (fb:m.027rn): The Dominican Republic is a country on the island of Hispaniola,...y removed by the Haitian government and Dominican slave revolts., has type Country

Using properties:
Currency Used (fb:location.country.currency_used): links to type Currency, part of Country schema

Example 3:
Question:
what is the currency in the dominican republic called?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.027rn ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.027rn fb:location.country.currency_used ?x .
}

Using entities:
Dominican Republic, also known as República Dominicana (fb:m.027rn): The Dominican Republic is a country on the island of Hispaniola,...y removed by the Haitian government and Dominican slave revolts., has type Country

Using properties:
Currency Used (fb:location.country.currency_used): links to type Currency, part of Country schema

[Assistant] From the similar examples, the entity for the Dominican Republic is fb:m.027rn and the property for currency used by a country is fb:location.country.currency_used. I will now write and execute a SPARQL query to get the currency of the Dominican Republic using these.

[Tool]
Got 1 row and 2 columns:
| currency                     | currencyLabel       |
| ---------------------------- | ------------------- |
| Dominican peso (fb:m.04lt7_) | Dominican peso (en) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?timeZone WHERE {
  fb:m.05tbn fb:location.location.time_zones ?timeZone .
}

Pennsylvania is in the Eastern Time Zone and associated with UTC−05:00.

[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 time zone is pennsylvania in right now?

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

[Tool]
Example 1:
Question:
what timezone is colorado in right now?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01n4w ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01n4w fb:location.location.time_zones ?x .
}

Using entities:
Colorado, also known as Centennial State, Colo, CO (fb:m.01n4w): Colorado is a U.S. state encompassing most of the Southern Rocky...the centennial of the United States Declaration of Independence., The State of Colorado is a state in the Rocky Mountain region of... city of Colorado. Citizens of Colorado are known as Coloradans., has type US State

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

Example 2:
Question:
what time zone is the uk in right now?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07ssc ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07ssc fb:location.location.time_zones ?x .
}

Using entities:
United Kingdom, also known as United Kingdom of Great Britain and Northern Ireland, United Kingdom of Great Britain and Ireland, United Kingdom of Great Britain, UK, U.K. (fb:m.07ssc): The United Kingdom of Great Britain and Northern Ireland, common...urth-largest in Europe and second-largest in the European Union., has type Country

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

Example 3:
Question:
what is the time zone in uk now?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07ssc ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07ssc fb:location.location.time_zones ?x .
}

Using entities:
United Kingdom, also known as United Kingdom of Great Britain and Northern Ireland, United Kingdom of Great Britain and Ireland, United Kingdom of Great Britain, UK, U.K. (fb:m.07ssc): The United Kingdom of Great Britain and Northern Ireland, common...urth-largest in Europe and second-largest in the European Union., has type Country

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

[Assistant]
From the similar examples, it is clear that the property fb:location.location.time_zones is used to find the time zones of a location. The entity for Pennsylvania should be identified first, then we can query its time zone using this property.

Next, I will search for the entity Pennsylvania in the Freebase knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Pennsylvania, also known as PN, Penn, PA, Keystone State (fb:m.05tbn): Pennsylvania /ˌpɛnsɨlˈveɪnjə/, officially the Commonwealth of Pe...nited States Constitution were drafted, is located in the state., has type US State
2. Pennsylvania (fb:m.0dnbfx0): has type Musical Release
3. Pennsylvania (fb:m.0dnsql1): has type Musical Release
4. Pennsylvania (fb:m.01k2yk8): Pennsylvania is Pere Ubu's eleventh studio album. The album mark...'s return to Pere Ubu's studio work after a twenty-year absence., has type Musical Album
5. Pennsylvania (fb:m.039trkh): has type Musical Release
6. SS Pennsylvania, also known as Pennsylvania (fb:m.051xkgs): SS Pennsylvania was an iron passenger-cargo steamship built by W...-American War. The ship was finally destroyed by a fire in 1918., has type Ship
7. Pennsylvania, also known as Pennsylvania, South Gloucestershire (fb:m.0fly7h): Pennsylvania is a small village in South Gloucestershire, Englan...e Bed and Breakfast. It was named after the US state by Quakers., has type City/Town/Village
8. Pennsylvania (fb:m.016m6n7): has type Musical Recording
9. Pennsylvania (fb:m.0fhhw0): "Pennsylvania" is the official state song of the Commonwealth of...igned into law by Governor Robert P. Casey on November 29, 1990., has type Composition
10. Pennsylvania, also known as Pennsylvania Steamboat (fb:m.03y0fsc): The steamboat Pennsylvania was a side wheeler steamboat which su...d sank at Ship Island near Memphis, Tennessee, on June 13, 1858., has type Location

[Assistant] The entity for Pennsylvania as a US State is fb:m.05tbn. Now I will query the time zone(s) of Pennsylvania using the property fb:location.location.time_zones.

[Tool]
Got 2 rows and 1 column:
| timeZone                        |
| ------------------------------- |
| UTC−05:00 (fb:m.02_37z)         |
| Eastern Time Zone (fb:m.02hcv8) |

[Assistant] Pennsylvania is in the Eastern Time Zone (fb:m.02hcv8) and also associated with UTC−05:00 (fb:m.02_37z). Now I will provide the final answer with the SPARQL query.

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?battle ?battleLabel WHERE {
  fb:m.07r8h fb:military.military_person.participated_in_conflicts ?battle .
  OPTIONAL {
    ?battle rdfs:label ?battleLabel .
    FILTER ( lang( ?battleLabel ) = "en" )
  }
}

Got 15 rows and 2 columns, showing the first 5 and last 5 rows below:
| battle                                  | battleLabel                     |
| --------------------------------------- | ------------------------------- |
| First Battle of Bull Run (fb:m.01h9zd)  | First Battle of Bull Run (en)   |
| Jackson's Valley Campaign (fb:m.021h20) | Jackson's Valley Campaign (en)  |
| Battle of Chantilly (fb:m.02bckn)       | Battle of Chantilly (en)        |
| Battle of Harpers Ferry (fb:m.02p037)   | Battle of Harpers Ferry (en)    |
| Romney Expedition (fb:m.02q5_1r)        | Romney Expedition (en)          |
| ...                                     | ...                             |
| Battle of Chancellorsville (fb:m.0d0mw) | Battle of Chancellorsville (en) |
| Battle of Fredericksburg (fb:m.0d0y7)   | Battle of Fredericksburg (en)   |
| Second Battle of Bull Run (fb:m.0f777)  | Second Battle of Bull Run (en)  |
| American Civil War (fb:m.0kbq)          | American Civil War (en)         |
| Battle of Antietam (fb:m.0lkxb)         | Battle of Antietam (en)         |

Stonewall Jackson fought in several battles including First Battle of Bull Run, Jackson's Valley Campaign, Battle of Chantilly, Battle of Harpers Ferry, Romney Expedition, Battle of Chancellorsville, Battle of Fredericksburg, Second Battle of Bull Run, American Civil War, and Battle of Antietam.

[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 battles did stonewall jackson fight in?

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

[Tool]
Example 1:
Question:
what battles did robert e lee participate in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.06f5j ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.06f5j fb:military.military_person.participated_in_conflicts ?x .
}

Using entities:
Robert E. Lee, also known as The Old Man, The King of Spades, The Great Tycoon, Robert E Lee, Robert Edward Lee (fb:m.06f5j): Robert Edward Lee was an American soldier best known for command...ning most of his battles, all against far superior Union armies., has type Military Commander

Using properties:
Participated in conflicts (fb:military.military_person.participated_in_conflicts): links to type Military Conflict, part of Military Person schema

Example 2:
Question:
what battles did robert e lee participate in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.06f5j ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.06f5j fb:military.military_commander.military_commands ?y .
  ?y fb:military.military_command.military_conflict ?x .
}

Using entities:
Robert E. Lee, also known as The Old Man, The King of Spades, The Great Tycoon, Robert E Lee, Robert Edward Lee (fb:m.06f5j): Robert Edward Lee was an American soldier best known for command...ning most of his battles, all against far superior Union armies., has type Military Commander

Using properties:
Military Conflict (fb:military.military_command.military_conflict): links to type Military Conflict, part of Military Command schema
Military Commands (fb:military.military_commander.military_commands): part of Military Commander schema, links to type Military Command

Example 3:
Question:
where was the battle of shiloh?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0127mr ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0127mr fb:time.event.locations ?x .
}

Using entities:
Battle of Shiloh, also known as Battle of Pittsburg Landing (fb:m.0127mr): The Battle of Shiloh, also known as the Battle of Pittsburg Land...way from the river and into the swamps of Owl Creek to the west., has type Military Conflict

Using properties:
Location(s) (fb:time.event.locations): links to type Location, part of Event schema

[Assistant]
From the examples, it seems that the entity for Stonewall Jackson and the property for battles or conflicts he participated in are key to answering the question. The examples show two main approaches:
1. Using the property "military.military_person.participated_in_conflicts" directly on the person.
2. Using the property "military.military_commander.military_commands" to get commands and then the conflicts related to those commands.

Next, I will search for the entity Stonewall Jackson in the freebase knowledge graph to get his identifier.

[Tool]
Top 10 entity alternatives:
1. Stonewall Jackson, also known as Thomas J. Jackson, Thomas Jonathan Jackson (fb:m.07r8h): Thomas Jonathan "Stonewall" Jackson was a Confederate general du...ldwide even today as examples of innovative and bold leadership., has type Military Commander
2. Stonewall Jackson, also known as Jackson, Stonewall (fb:m.01jx2f4): Stonewall Jackson is an American country singer and musician who... country's "golden" honky tonk era in the 1950s and early 1960s., has type Composer
3. Stoney Jackson, also known as Stonewall W. "Stoney" Jackson, Stoneman, Stonewall W. Jackson, Stonewall Jackson, Alwyn M. Jackson (fb:m.02qfbtl): Stonewall W. "Stoney" Jackson is an American character actor. Jackson was born in Richmond, Virginia., has type TV Actor
4. Stonewall Jackson (fb:m.0gyzvwl): has type Film
5. Stonewall Jackson (fb:m.03b84tg)
6. Stonewall Jackson (fb:m.0127y31): has type Musical Recording
7. Stonewall Jackson (fb:m.07j_r3s): has type TV Episode
8. Stonewall Jackson (fb:m.0dw54dg): has type Musical Recording
9. Stonewall Jackson (fb:m.0g2r9sm): has type Musical Recording
10. Stonewall Jackson (fb:m.0j5m271): He earned his nickname for bravery at Bull Run. He met his fate in a tragic accident at Chancellorsville., has type TV Episode

[Assistant] The entity for Stonewall Jackson as the Confederate general is fb:m.07r8h. Now I will check the properties of this entity to find the relevant property for battles or conflicts he fought in. I will search for properties related to "battle" or "conflict" for this entity.

[Tool]
Top 10 property alternatives:
1. Participated in conflicts (fb:military.military_person.participated_in_conflicts): links to type Military Conflict, part of Military Person schema
2. Description (fb:common.topic.description): part of Topic schema, links to type Text
3. Name (fb:type.object.name): part of Object schema, links to type Text
4. Key (fb:type.object.key): part of Object schema, links to type Key
5. Image (fb:common.topic.image): part of Topic schema, links to type Image
6. Type (fb:type.object.type): part of Object schema, links to type Type
7. Service (fb:military.military_person.service): links to type Military Service, part of Military Person schema
8. Military Commands (fb:military.military_commander.military_commands): part of Military Commander schema, links to type Military Command
9. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
10. Gender (fb:people.person.gender): part of Person schema, links to type Gender

No other items found

[Assistant] The property "military.military_person.participated_in_conflicts" seems to directly link Stonewall Jackson to battles or military conflicts he participated in. I will now write a SPARQL query to get the battles or conflicts Stonewall Jackson fought in using this property.

[Tool]
Got 15 rows and 1 column, showing the first 5 and last 5 rows below:
| battle                                  |
| --------------------------------------- |
| First Battle of Bull Run (fb:m.01h9zd)  |
| Jackson's Valley Campaign (fb:m.021h20) |
| Battle of Chantilly (fb:m.02bckn)       |
| Battle of Harpers Ferry (fb:m.02p037)   |
| Romney Expedition (fb:m.02q5_1r)        |
| ...                                     |
| Battle of Chancellorsville (fb:m.0d0mw) |
| Battle of Fredericksburg (fb:m.0d0y7)   |
| Second Battle of Bull Run (fb:m.0f777)  |
| American Civil War (fb:m.0kbq)          |
| Battle of Antietam (fb:m.0lkxb)         |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?animal ?animalLabel WHERE {
  fb:m.01n7q fb:government.governmental_jurisdiction.official_symbols ?symbol .
  ?symbol fb:location.location_symbol_relationship.symbol ?animal .
  ?symbol fb:location.location_symbol_relationship.Kind_of_symbol fb:m.0462793 .
  OPTIONAL {
    ?animal rdfs:label ?animalLabel FILTER ( lang( ?animalLabel ) = 'en' )
  }
}

The animal that represents California is the California grizzly bear.

[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 animal represents california?

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

[Tool]
Example 1:
Question:
what is the san francisco giants mascot?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0713r ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0713r fb:sports.sports_team.team_mascot ?x .
}

Using entities:
San Francisco Giants, also known as New York Giants (fb:m.0713r): The San Francisco Giants are an American professional baseball f...ed in the World Series 20 times but boycotted the event in 1904., has type Professional Sports Team

Using properties:
Team Mascot (fb:sports.sports_team.team_mascot): part of Sports Team schema, links to type Mascot

Example 2:
Question:
what cities should i visit in california?

SPARQL:
SELECT DISTINCT ?x WHERE {
  fb:m.01n7q fb:travel.travel_destination.tourist_attractions ?y .
  ?y fb:location.location.containedby ?x .
  ?x fb:common.topic.notable_types fb:m.01m9 .
}

Using entities:
City/Town/Village, also known as City, Village, Hamlet, Town (fb:m.01m9): City/town/village refers to all named inhabited places at the mo...rmation, please see the Freebase wiki page on City/Town/Village.
California, also known as CA, Calif, California, USA, Golden State (fb:m.01n7q): California is a state located on the West Coast of the United St...rnia, which was admitted as the 31st state on September 9, 1850., has type US State

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Contained by (fb:location.location.containedby): part of Location schema, links to type Location
Tourist attractions (fb:travel.travel_destination.tourist_attractions): part of Travel destination schema, links to type Tourist attraction

Example 3:
Question:
who is the elected governor of california?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01n7q ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01n7q fb:government.governmental_jurisdiction.governing_officials ?y .
  ?y fb:government.government_position_held.office_holder ?x .
  ?y fb:government.government_position_held.basic_title fb:m.0fkvn .
  FILTER ( NOT EXISTS {
    ?y fb:government.government_position_held.from ?sk0
  }
  || EXISTS {
    ?y fb:government.government_position_held.from ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) <= "2015-08-10" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:government.government_position_held.to ?sk2
  }
  || EXISTS {
    ?y fb:government.government_position_held.to ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) >= "2015-08-10" ^^ xsd:dateTime )
  }
  )
}

Using entities:
California, also known as CA, Calif, California, USA, Golden State (fb:m.01n7q): California is a state located on the West Coast of the United St...rnia, which was admitted as the 31st state on September 9, 1850., has type US State
Governor (fb:m.0fkvn): A governor is, in most cases, a public official with the power t...ub-national units include Mexico, United States and Switzerland., has type Government office category

Using properties:
Basic title (fb:government.government_position_held.basic_title): links to type Government office category, part of Government Position Held schema
From (fb:government.government_position_held.from): part of Government Position Held schema, links to type Date/Time
Officeholder (fb:government.government_position_held.office_holder): part of Government Position Held schema, links to type Politician
To (fb:government.government_position_held.to): part of Government Position Held schema, links to type Date/Time
Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held

[Assistant] The examples did not directly address the question of what animal represents California. I will now search for the entity "California" in Freebase to get its identifier and then look for properties or related entities that might indicate an animal symbol or state animal.

[Tool]
Top 10 entity alternatives:
1. California, also known as CA, Calif, California, USA, Golden State (fb:m.01n7q): California is a state located on the West Coast of the United St...rnia, which was admitted as the 31st state on September 9, 1850., has type US State
2. California, also known as California, Kentucky, Campbell County / California city (fb:m.0td30): California is a 6th-class city in Campbell County, Kentucky, United States. The population was 90 at the 2010 census., has type City/Town/Village
3. California, also known as California, Missouri, Moniteau County / California city (fb:m.0wxz5): California is a city in Moniteau County, Missouri, United States...y in the Jefferson City, Missouri Metropolitan Statistical Area., has type City/Town/Village
4. California, also known as California, Pennsylvania, Washington County / California borough (fb:m.0_frm): California is a borough on the Monongahela River in Washington C...tion, and Republican Casey Durdines, who was 20 at his election., has type City/Town/Village
5. California, also known as California, California (Jack Joseph Puig mix), California (Tchad Blake mix) (fb:m.0m9_g7): has type Musical Recording
6. California, also known as California, Maryland, St. Mary's County / California CDP (fb:m.0tx8x): California is a census-designated place and community in St. Mar...ridge-bound traffic is infamous for backing up during rush hour., has type US Census Designated Place
7. California, also known as California, Santander (fb:m.02qcvdy): California is a town and municipality in the Santander Department in northeastern Colombia., has type City/Town/Village
8. California (fb:m.05k1_p): California is the third and final studio album by American exper.... Bungle. It was released on June 13, 1999, through Warner Bros., has type Musical Album
9. California (fb:m.0n53fn_): California is a 1977 Italian spaghetti western film directed by ...cs and obtained a good commercial success at Italian box office., has type Film
10. California (fb:m.0cndcvb): California is a 1947 American western film directed by John Farr... Barbara Stanwyck's singing voice was dubbed by Kay St.Germaine., California is a film directed by John Farrow released on Feb 21, 1947., has type Film

[Assistant] The entity for the US state California is fb:m.01n7q. Now I will search for properties of this entity that might relate to animals or symbols representing California. I will search for properties with keywords like "animal" or "symbol".

[Tool]
Top 10 property alternatives:
1. Image (fb:common.topic.image): part of Topic schema, links to type Image
2. Country (fb:base.locations.states_and_provences.country): part of States and provinces schema, links to type Countries
3. Country (fb:base.biblioness.bibs_location.country): part of Bibs Location schema, links to type Location
4. Country (fb:location.administrative_division.country): part of Administrative Division schema, links to type Country
5. Type (fb:base.biblioness.bibs_location.loc_type): part of Bibs Location schema, links to type Text
6. Type (fb:type.object.type): part of Object schema, links to type Type
7. Name (fb:type.object.name): part of Object schema, links to type Text
8. Flag (fb:symbols.flag_referent.flag): part of Flag referent schema, links to type Flag use
9. Subject of (fb:common.topic.subject_of): part of Topic schema, links to type Topic
10. entry (fb:user.tsegaran.random.taxonomy_subject.entry): part of Taxonomy Subject schema, links to type Taxonomy Entry

No other items found

[Assistant] There are no direct properties related to "animal" for the entity California (fb:m.01n7q). I will try searching for properties related to "symbol" for California to see if there is a property that links to a state animal or representative animal.

[Tool]
Top 10 property alternatives:
1. Official symbols (fb:government.governmental_jurisdiction.official_symbols): links to type Location/symbol relationship, part of Governmental Jurisdiction schema
2. Flag (fb:symbols.flag_referent.flag): part of Flag referent schema, links to type Flag use
3. Image (fb:common.topic.image): part of Topic schema, links to type Image
4. Abbreviation (fb:base.schemastaging.context_name.abbreviation): part of Context name schema, links to type Text
5. Type (fb:base.biblioness.bibs_location.loc_type): part of Bibs Location schema, links to type Text
6. Type (fb:type.object.type): part of Object schema, links to type Type
7. Nickname (fb:base.schemastaging.context_name.nickname): part of Context name schema, links to type Text
8. Key (fb:type.object.key): part of Object schema, links to type Key
9. Capital (fb:base.aareas.schema.administrative_area.capital): part of Administrative Area schema, links to type City/Town/Village
10. Capital (fb:location.us_state.capital): links to type City/Town/Village, part of US State schema

No other items found

[Assistant] The property "Official symbols" (fb:government.governmental_jurisdiction.official_symbols) seems promising as it links to symbols officially representing the governmental jurisdiction, which could include animals. I will now query the official symbols of California (fb:m.01n7q).

[Tool]
Got 25 rows and 2 columns, showing the first 5 and last 5 rows below:
| symbol       | symbolLabel |
| ------------ | ----------- |
| fb:m.0462792 |             |
| fb:m.046279k |             |
| fb:m.046279y |             |
| fb:m.04627b8 |             |
| fb:m.04627bn |             |
| ...          | ...         |
| fb:m.04l0cxt |             |
| fb:m.04st73l |             |
| fb:m.04stpyt |             |
| fb:m.0hgjt1v |             |
| fb:m.0hzd2m1 |             |

[Assistant] There are 25 official symbols linked to California, but they do not have English labels directly in the query result. I will now try to get the type or name of these symbols to identify which one is an animal representing California. I will query the types and names of these symbols.

[Tool]
Got 25 rows and 3 columns, showing the first 5 and last 5 rows below:
| symbol       | type                                                                    | name |
| ------------ | ----------------------------------------------------------------------- | ---- |
| fb:m.0462792 | Location/symbol relationship (fb:location.location_symbol_relationship) |      |
| fb:m.046279k | Location/symbol relationship (fb:location.location_symbol_relationship) |      |
| fb:m.046279y | Location/symbol relationship (fb:location.location_symbol_relationship) |      |
| fb:m.04627b8 | Location/symbol relationship (fb:location.location_symbol_relationship) |      |
| fb:m.04627bn | Location/symbol relationship (fb:location.location_symbol_relationship) |      |
| ...          | ...                                                                     | ...  |
| fb:m.04l0cxt | Location/symbol relationship (fb:location.location_symbol_relationship) |      |
| fb:m.04st73l | Location/symbol relationship (fb:location.location_symbol_relationship) |      |
| fb:m.04stpyt | Location/symbol relationship (fb:location.location_symbol_relationship) |      |
| fb:m.0hgjt1v | Location/symbol relationship (fb:location.location_symbol_relationship) |      |
| fb:m.0hzd2m1 | Location/symbol relationship (fb:location.location_symbol_relationship) |      |

[Assistant] The official symbols are of type "Location/symbol relationship" and do not have direct names. I will now explore one of these symbols (e.g., fb:m.0462792) to see if it links to an animal or has a label or related entity that indicates an animal.

[Tool]
Got 6 rows and 3 columns:
| subject      | property                                                                     | object                                                                  |
| ------------ | ---------------------------------------------------------------------------- | ----------------------------------------------------------------------- |
| fb:m.0462792 | Type (fb:type.object.type)                                                   | Location/symbol relationship (fb:location.location_symbol_relationship) |
| fb:m.0462792 | Symbol (fb:location.location_symbol_relationship.symbol)                     | California grizzly bear (fb:m.046279b)                                  |
| fb:m.0462792 | Symbol of (fb:location.location_symbol_relationship.administrative_division) | California (fb:m.01n7q)                                                 |
| fb:m.0462792 | Kind of symbol (fb:location.location_symbol_relationship.Kind_of_symbol)     | State animal (fb:m.0462793)                                             |
| fb:m.0462792 | Date adopted (fb:location.location_symbol_relationship.date_adopted)         | 1953 (xsd:gYear)                                                        |
| fb:m.0462792 | rdf:type                                                                     | Location/symbol relationship (fb:location.location_symbol_relationship) |

[Assistant] The symbol fb:m.0462792 represents the California grizzly bear (fb:m.046279b) as the state animal of California (fb:m.01n7q). The California grizzly bear is the animal that represents California. I will now finalize the answer.

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?stadium ?stadiumLabel WHERE {
  fb:m.051vz fb:sports.sports_team.arena_stadium ?stadium .
  OPTIONAL {
    ?stadium rdfs:label ?stadiumLabel .
    FILTER ( lang( ?stadiumLabel ) = "en" )
  }
}
LIMIT 10

The Milwaukee Brewers stadium is called Miller Park.

[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 is the milwaukee brewers stadium called?

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

[Tool]
Example 1:
Question:
what was the milwaukee brewers old name?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.051vz ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.051vz fb:sports.sports_team.previously_known_as ?x .
}

Using entities:
Milwaukee Brewers (fb:m.051vz): The Milwaukee Brewers are an American professional baseball team...against the St. Louis Cardinals in the World Series, losing 4-3., has type Professional Sports Team

Using properties:
Previously Known As (fb:sports.sports_team.previously_known_as): links to type Defunct Sports Team, part of Sports Team schema

Example 2:
Question:
where is st louis cardinals stadium?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.06x68 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.06x68 fb:sports.sports_team.arena_stadium ?x .
  ?x fb:architecture.structure.opened ?sk0 .
}
ORDER BY DESC ( xsd:datetime ( ?sk0 ) )
LIMIT 1

Using entities:
St. Louis Cardinals, also known as Rally Squirrel, Saint Louis Cardinals, Redbirds, Cards (fb:m.06x68): The St. Louis Cardinals are a professional baseball team based i...n outright in 1886 in a storied rivalry that continues on today., Under the Arch that signifies the Gateway to the American West, ...pionships, nine Division Titles and thirty-seven Hall of Famers., has type Professional Sports Team

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

Example 3:
Question:
where does the atlanta braves play?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0x2p ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0x2p fb:sports.sports_team.arena_stadium ?x .
}

Using entities:
Atlanta Braves, also known as The Team of the 90s, The Bravos, The Braves, Boston Rustlers, Boston Red Caps (fb:m.0x2p): The Atlanta Braves are a Major League Baseball team in Atlanta, ...World Series five times in the 1990s, winning the title in 1995., has type Professional Sports Team

Using properties:
Arena/Stadium (fb:sports.sports_team.arena_stadium): links to type Sports Facility, part of Sports Team schema

[Assistant]
From the similar examples, it appears that the Milwaukee Brewers is represented by the entity fb:m.051vz in Freebase. The property that links a sports team to its stadium or arena is fb:sports.sports_team.arena_stadium.

I will now write a SPARQL query to find the stadium of the Milwaukee Brewers using this property.

[Tool]
Got 1 row and 2 columns:
| stadium                   | stadiumLabel     |
| ------------------------- | ---------------- |
| Miller Park (fb:m.038br5) | Miller Park (en) |

[Tool] Stopped generation process