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 (Theodor 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 examples.

[Tool]
Example 1:
Question:
where did bashar al assad study?

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

Using entities:
Bashar al-Assad, also known as Bashar Hafez al-Assad, Dr. Bashar al-Assad (fb:m.01_vwx): Bashar Hafez al-Assad is the President of Syria, commander-in-ch...rm of government Assad presides over is an authoritarian regime., has type Politician

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

Example 2:
Question:
what did nick clegg study at university?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.036547 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.036547 fb:people.person.education ?y .
  ?y fb:education.education.major_field_of_study ?x .
}

Using entities:
Nick Clegg, also known as Nicholas William Peter Clegg (fb:m.036547): Nicholas William Peter Clegg is a British politician who was the... to 8 MPs. Clegg is a fluent speaker of five European languages., has type Politician

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

Example 3:
Question:
what was the cause of death of michael jackson?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.09889g ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.09889g fb:people.deceased_person.cause_of_death ?x .
}

Using entities:
Michael Jackson, also known as Mike, Applehead, MJ, Smelly, Space Michael (fb:m.09889g): Michael Joseph Jackson (August 29, 1958 – June 25, 2009) was an ...l Francis Admire Michael Jackson As His Best. Videos such as ..., Michael Joseph Jackson was an American singer, songwriter, recor...1990s, as well as forging a reputation as a touring solo artist., has type Celebrity

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

[Assistant]
The examples show how to query what a person did by looking for their professions or occupations. For Dr. Seuss, we want to find out what he did, which likely corresponds to his professions or occupations.

Step 1: Search for the entity "Dr. Seuss" in the knowledge graph to get the correct identifier.

[Tool]
Top 10 entity alternatives:
1. 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
2. Chad Elliott, also known as Dr. Seuss, Elliott, Chad, Chad "Dr. Seuss" Elliott, Chad "Dr. Ceuss" Elliott (fb:m.0dy5h8p): Chad Elliott is a composer, songwriter, record producer and audio engineer., has type Composer
3. Dr. Seuss, also known as Doctor Seuss. (fb:m.08n3f1h): has type Book Edition
4. Dr. Seuss (fb:m.04yp8r1): This base is meant to be a definitive source of all things Dr. S...y other things to collect, post below in the discussion section.
5. Dr. Seuss (fb:m.0y93sv3): has type Musical Recording
6. Dr. Seuss (fb:m.012pvlss): has type Musical Recording
7. Dr. Seuss (fb:m.0qfsclw): has type Musical Recording
8. Dr. Seuss (fb:m.0ykhsy): has type Musical Recording
9. Dr. Seuss (fb:m.010jg9bp): has type Musical Recording
10. Dr. Seuss? (fb:m.0t23dm): has type Musical Recording

[Assistant]
There are multiple entities related to "Dr. Seuss." The most relevant one for the author and illustrator Theodore Seuss Geisel is fb:m.02g3w. This entity has the label "Theodor Seuss Geisel" and is described as an American writer and illustrator.

Step 2: Search for properties related to what Dr. Seuss did, such as occupation or profession, for the entity fb:m.02g3w.

[Tool]
Top 10 property alternatives:
1. Profession (fb:people.person.profession): links to type Profession, part of Person schema
2. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
3. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
4. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
5. Gender (fb:people.person.gender): part of Person schema, links to type Gender
6. Ethnicity (fb:people.person.ethnicity): links to type Ethnicity, part of Person schema
7. Date of death (fb:people.deceased_person.date_of_death): part of Deceased Person schema, links to type Date/Time
8. Type (fb:type.object.type): part of Object schema, links to type Type
9. Spouse (or domestic partner) (fb:people.person.spouse_s): links to type Marriage, part of Person schema
10. Name (fb:type.object.name): part of Object schema, links to type Text

No other items found

[Assistant]
The property "Profession" (fb:people.person.profession) seems to be the most relevant to answer what Dr. Seuss did.

Step 3: Query the professions of Dr. Seuss (fb:m.02g3w) using the property fb:people.person.profession.

[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 ?location WHERE {
  fb:m.0g5r_z_ fb:location.location.containedby fb:m.0pmq2 .
}
LIMIT 1

Got 1 row and 1 column:
| location |
| -------- |

The MTS Iceplex is located in Winnipeg.

[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 examples.

[Tool]
Example 1:
Question:
where did sir ernest shackleton live?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0gbcz ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0gbcz fb:people.person.places_lived ?y .
  ?y fb:people.place_lived.location ?x .
}

Using entities:
Sir Ernest Shackleton, also known as Sir Shackleton Ernest Henry, Ernest Shackleton, Ernest Henry Shackleton (fb:m.0gbcz): Sir Ernest Henry Shackleton, CVO, OBE, FRGS was a polar explorer...ion to the crossing of Antarctica from sea to sea, via the pole., has type Author

Using properties:
Places lived (fb:people.person.places_lived): links to type Place lived, part of Person schema
Location (fb:people.place_lived.location): part of Place lived schema, links to type Location

Example 2:
Question:
who is married to jane krakowski?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01qr1_ ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01qr1_ fb:people.person.spouse_s ?y .
  ?y fb:people.marriage.spouse ?x .
  ?y fb:people.marriage.type_of_union fb:m.04ztj .
  FILTER ( NOT EXISTS {
    ?y fb:people.marriage.from ?sk0
  }
  || EXISTS {
    ?y fb:people.marriage.from ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) <= "2015-08-10" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:people.marriage.to ?sk2
  }
  || EXISTS {
    ?y fb:people.marriage.to ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) >= "2015-08-10" ^^ xsd:dateTime )
  }
  )
}

Using entities:
Jane Krakowski, also known as Krakowski, Jane, Jane Krajkowski (fb:m.01qr1_): Jane Krakowski is an American actress and singer. She is perhaps...s, for which she was nominated for her 5th Primetime Emmy Award., has type Celebrity
Marriage, also known as Matrimony, Wedlock (fb:m.04ztj): Marriage, also called matrimony or wedlock, is a socially or rit...of concerns for women's rights and because of international law., has type Religious Practice

Using properties:
From (fb:people.marriage.from): links to type Date/Time, part of Marriage schema
Spouse (fb:people.marriage.spouse): part of Marriage schema, links to type Person
To (fb:people.marriage.to): links to type Date/Time, part of Marriage schema
Type of union (fb:people.marriage.type_of_union): links to type Marriage/union type, part of Marriage schema
Spouse (or domestic partner) (fb:people.person.spouse_s): links to type Marriage, part of Person schema

Example 3:
Question:
what airport does southwest fly to in denver?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02cl1 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02cl1 fb:travel.travel_destination.how_to_get_here ?y .
  ?y fb:travel.transportation.transport_terminus ?x .
  ?y fb:travel.transportation.mode_of_transportation fb:m.025t3bg .
  ?x fb:aviation.airport.hub_for fb:m.0gztl .
}

Using entities:
Air travel (fb:m.025t3bg): Air travel is a form of travel in vehicles such as airplanes, he... - worldwide it doubled between the mid-1980s and the year 2000., has type Transportation mode
Denver, also known as Denver, CO, Denver, Colorado, Denver County, Denver County / Denver city (fb:m.02cl1): Denver is the capital and most populous municipality of the U.S....ed as the 21st most populous U.S. metropolitan statistical area., has type City/Town/Village
Southwest Airlines, also known as Southwest (fb:m.0gztl): Southwest Airlines Co. is a major U.S. airline and the world's l...de with over 650 in service, each averaging six flights per day., has type Airline

Using properties:
Hub for (fb:aviation.airport.hub_for): part of Airport schema, links to type Airline
Mode of transportation (fb:travel.transportation.mode_of_transportation): links to type Transportation mode, part of Transportation schema
Transport terminus (fb:travel.transportation.transport_terminus): links to type Transport terminus, part of Transportation schema
How to get here (fb:travel.travel_destination.how_to_get_here): part of Travel destination schema, links to type Transportation

[Assistant]
From the examples, I see that to find the location of a place or entity, we need to identify the entity first and then find the property that links it to a location.

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

[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] I found the entity "MTS Iceplex" with the identifier fb:m.0g5r_z_. It is described as an ice hockey venue. Now, I will search for properties of this entity that might indicate its location.

[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 relevant for finding the location of the MTS Iceplex. I will now query the geolocation or related location information for the entity MTS Iceplex (fb:m.0g5r_z_).

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

[Assistant] The MTS Iceplex has a geolocation entity fb:m.0wmrszd. I will now find the label or more descriptive location information for this entity.

[Tool] Got no rows and 1 columns

[Assistant] The geolocation entity fb:m.0wmrszd does not have an English label. I will try to find other location-related properties for the MTS Iceplex to get a more descriptive location.

[Tool]
Got 1 row and 2 columns:
| property                                       | propertyLabel    |
| ---------------------------------------------- | ---------------- |
| Geolocation (fb:location.location.geolocation) | Geolocation (en) |

[Assistant] The only location-related property found for MTS Iceplex is the Geolocation property, which we already checked. I will now try to find the city or address by searching for properties related to "city" or "address" for this entity.

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

No other items found

[Assistant] There is a property "Contained by" (fb:location.location.containedby) which might indicate the larger location or city that contains the MTS Iceplex. I will query this property for the MTS Iceplex entity.

[Tool]
Got 2 rows and 2 columns:
| container                                      | containerLabel                        |
| ---------------------------------------------- | ------------------------------------- |
| Rural Municipality of Headingley (fb:m.08mhny) | Rural Municipality of Headingley (en) |
| Winnipeg (fb:m.0pmq2)                          | Winnipeg (en)                         |

[Assistant]
The MTS Iceplex is contained by two locations: "Rural Municipality of Headingley" and "Winnipeg". Since the question specifically asks for the location in Winnipeg, the MTS Iceplex is located in Winnipeg.

I will now provide the final answer with the location "Winnipeg".

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?championship ?championshipLabel ?date WHERE {
  fb:m.01y3c fb:sports.sports_team.championships ?championship .
  OPTIONAL {
    ?championship rdfs:label ?championshipLabel .
    FILTER ( lang( ?championshipLabel ) = "en" )
  }
  OPTIONAL {
    ?championship fb:sports.sports_league_championship_event.date ?date
  }
}

The Carolina Panthers have a recorded championship event called the 2004 NFC Championship Game. However, there is no direct information in the knowledge graph about the specific Super Bowl appearances or dates for the Carolina Panthers.

[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 examples.

[Tool]
Example 1:
Question:
where is san miguel mexico on map?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.056201 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.056201 fb:location.location.containedby ?x .
  ?x fb:common.topic.notable_types fb:m.02_3pws .
}

Using entities:
Mexican state (fb:m.02_3pws): A state is a first-level administrative division of Mexico.
San Miguel de Allende, also known as San Miguel de Allende, Guanajuato, San Miguel de Allende, Mexico (fb:m.056201): San Miguel de Allende is a city and municipality located in the .... soldiers studying on the G.I. Bill after the Second World War., has type City/Town/Village

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

Example 2:
Question:
what religion does tom cruise follow?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07r1h ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07r1h fb:people.person.religion ?x .
}

Using entities:
Tom Cruise, also known as Thomas "Tom" Cruise Mapother IV, Tomu Kurûzu, Tom, Thomas Mapother IV, Thomas Cruise Mapother IV (fb:m.07r1h): Tom Cruise is an American actor and filmmaker. Cruise has been n...ire, the erotic thriller Eyes Wide Shut, and the drama Magnolia., has type Celebrity

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

Example 3:
Question:
what did atticus finch do?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02pk0sd ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02pk0sd fb:fictional_universe.fictional_character.occupation ?x .
}

Using entities:
Atticus Finch (fb:m.02pk0sd): Atticus Finch is a fictional character in author Harper Lee's Pu...the 1962 film adaptation, as the greatest hero in American film., Atticus Finch is a fictional character from To Kill a Mockingbird., has type Film character

Using properties:
Occupation (fb:fictional_universe.fictional_character.occupation): part of Fictional Character schema, links to type Character Occupation

[Assistant] From the examples, I see that the approach is to first identify the entity (Carolina Panthers) and then find the relevant property related to their appearances in the Super Bowl. I will start by searching for the entity "Carolina Panthers" in the Freebase knowledge graph.

[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.

[Assistant] I found the entity for the Carolina Panthers as a professional American football club with the identifier fb:m.01y3c. Next, I will search for properties related to the Carolina Panthers that might indicate their appearances in the Super Bowl. I will search for properties of the entity fb:m.01y3c with a query related to "Super Bowl".

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

No other items found

[Assistant] The property "Championships" (fb:sports.sports_team.championships) seems relevant as it links to Sports League Championship Events, which could include Super Bowl appearances. I will now query the championships of the Carolina Panthers to see if it includes their Super Bowl appearances and the dates.

[Tool]
Got 1 row and 3 columns:
| championship                              | championshipLabel               | date |
| ----------------------------------------- | ------------------------------- | ---- |
| 2004 NFC Championship Game (fb:m.0_gv22l) | 2004 NFC Championship Game (en) |      |

[Assistant] The Carolina Panthers have a championship record for the "2004 NFC Championship Game," but there is no direct mention of a Super Bowl appearance or date in this result. I will try to find if there is a property or event related to the Super Bowl for the Carolina Panthers by searching for "Super Bowl" as an object related to the championships property.

[Tool]
Top 10 entity alternatives:
1. Super Bowl XLII (fb:m.04myq1): Super Bowl XLII was an American football game between the Nation...st remembered for the Giants' fourth-quarter game-winning drive., has type Super bowl
2. Super Bowl XLIII, also known as Super Bowl 2009, Super Bowl 43 (fb:m.04n7r5): Super Bowl XLIII was an American football game between the Ameri...VP in Super Bowl XXXIV with his former team, the St. Louis Rams., has type Super bowl
3. Super Bowl XLVII, also known as Super Bowl 2013, Super Bowl 47 (fb:m.0642vqv): Super Bowl XLVII was an American football game between the Ameri...d have tied the Pittsburgh Steelers for the most by a franchise., has type Sports League Championship Event
4. Super Bowl XLI (fb:m.04k5qm): Super Bowl XLI was an American football game between the America...r deficit to outscore the Bears 23–3 in the last three-quarters., has type Super bowl
5. Super Bowl XLV (fb:m.079k9h): Super Bowl XLV was an American football game between the America...ead before Pittsburgh cut it down to 21–10 just before halftime., has type Super bowl
6. Super Bowl XLIV (fb:m.04_0gs): Super Bowl XLIV was an American football game between the Nation...als in their first game and the Minnesota Vikings in the second., has type Super bowl
7. Super Bowl XLVI (fb:m.043t_rh): Super Bowl XLVI was an American football game between the Nation...d 17 unanswered points to take a 17–9 lead in the third quarter., Super Bowl XLVI was an American football game between the Americ...owl Village and other programs at the Indiana Convention Center., has type Super bowl
8. Super Bowl I, also known as Supergame 1, First AFL-NFL World Championship Game (fb:m.076lp): The First AFL-NFL World Championship Game in professional footba...ckers in total yards, 181–164, to come within 14–10 at halftime., has type Super bowl
9. Super Bowl XLVIII, also known as Super bowl 48, Superbowl 48, Superbowl XLVIII (fb:m.09k4qg3): Super Bowl XLVIII was an American football game between the Amer...d and were making their second Super Bowl appearance in 8 years., has type Super bowl
10. Super Bowl XXXVIII, also known as Janet Super Bowl, Janet Jackson Super Bowl, Jackson Super Bowl (fb:m.0277y8): Super Bowl XXXVIII was an American football game between the Nat...5 before the two teams combined for 24 points prior to halftime., has type Super bowl

No other items found

No literal items found

[Assistant] I found several Super Bowl events as entities, such as Super Bowl XLII (fb:m.04myq1) and others. Now I will check if the Carolina Panthers participated in any of these Super Bowl events by querying if the Carolina Panthers are linked to any of these Super Bowl events through the championships property or any other relevant property. I will start by checking if the Carolina Panthers have a championship related to Super Bowl XLII (fb:m.04myq1).

[Tool] Got no rows and 2 columns

[Assistant] There are no direct championship events labeled with "Super Bowl" for the Carolina Panthers. I will try a different approach and check if the Carolina Panthers have any property related to "Super Bowl appearances" or "Super Bowl" in general. I will search for properties of the Carolina Panthers entity with the query "appearance".

[Tool]
Top 10 property alternatives:
1. Image (fb:common.topic.image): part of Topic schema, links to type Image
2. Type (fb:type.object.type): part of Object schema, links to type Type
3. Colors (fb:sports.sports_team.colors): part of Sports Team schema, links to type Color
4. Name (fb:type.object.name): part of Object schema, links to type Text
5. Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
6. Description (fb:common.topic.description): part of Topic schema, links to type Text
7. Position (fb:user.szaijan.fantasy_football.player.position): links to type Position, part of Player schema
8. Member of (fb:sports.sports_team.league): links to type Sports league participation, part of Sports Team schema
9. Equivalent Instances (fb:base.ontologies.ontology_instance.equivalent_instances): links to type Ontology Instance Mapping, part of Ontology Instance schema
10. Social media presence (fb:common.topic.social_media_presence): part of Topic schema, links to type URI

No other items found

[Assistant] There are no properties directly related to "appearance" for the Carolina Panthers entity. I will try to find the Super Bowl events where the Carolina Panthers participated by searching for Super Bowl events and checking their participating teams. I will start by querying Super Bowl events and their participants.

[Tool] Got no rows and 4 columns

[Assistant] There are no direct triples linking the Carolina Panthers as participants in Super Bowl events. I will try a different approach by checking the seasons of the Carolina Panthers and see if any of those seasons have a Super Bowl appearance or championship. I found entities related to Carolina Panthers seasons earlier. I will query the 2015 Carolina Panthers season (fb:m.012hfrq3) to see if it has any championship or Super Bowl information.

[Tool] Got no rows and 2 columns

[Assistant] The 2015 Carolina Panthers season does not have a direct championship linked. I will now check if the 2015 season has any property related to "Super Bowl" or "championship" by listing properties of the 2015 Carolina Panthers season entity.

[Tool]
Top 10 property alternatives:
1. Key (fb:type.object.key): part of Object schema, links to type Key
2. Name (fb:type.object.name): part of Object schema, links to type Text
3. Description (fb:common.topic.description): part of Topic schema, links to type Text

No other items found

[Assistant] The 2015 Carolina Panthers season entity does not have properties related to "Super Bowl" or "championship". I will now try to find the Super Bowl events and check their participants to see if the Carolina Panthers are listed as participants in any of them. I will query Super Bowl events and their participants without filtering by Carolina Panthers first.

[Tool] Got no rows and 4 columns

[Assistant] There are no triples linking Super Bowl events to their participants in the current knowledge graph. Given this limitation, I will try to find the years the Carolina Panthers went to the Super Bowl by looking for any championship events or notable events related to the Carolina Panthers that mention the Super Bowl in their labels or descriptions. I will query championships of the Carolina Panthers and check their labels and descriptions for mentions of the Super Bowl.

[Tool]
Got 1 row and 3 columns:
| championship                              | championshipLabel               | description |
| ----------------------------------------- | ------------------------------- | ----------- |
| 2004 NFC Championship Game (fb:m.0_gv22l) | 2004 NFC Championship Game (en) |             |

[Assistant] The only championship event linked to the Carolina Panthers is the 2004 NFC Championship Game, but it does not mention the Super Bowl or provide a date. Given the lack of direct information linking the Carolina Panthers to specific Super Bowl appearances in the knowledge graph, I will provide a query that retrieves the championship events of the Carolina Panthers along with their labels and any available dates. This will at least give the known championship events related to the team.

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?championship ?championshipLabel WHERE {
  fb:m.0jm3v fb:sports.sports_team.championships ?championship .
  OPTIONAL {
    ?championship rdfs:label ?championshipLabel .
    FILTER ( lang( ?championshipLabel ) = "en" )
  }
}
ORDER BY DESC ( ?championshipLabel )
LIMIT 1

The last time the New York Knicks won the championship was in 1973.

[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 examples.

[Tool]
Example 1:
Question:
what year did aaron rodgers get drafted?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.04q06_ ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.04q06_ fb:sports.drafted_athlete.drafted ?y .
  ?y fb:sports.sports_league_draft_pick.draft ?x .
}

Using entities:
Aaron Rodgers, also known as A-Rod, Aaron Charles Rodgers (fb:m.04q06_): Aaron Charles Rodgers is an American football quarterback for th...6.0 and third all-time in the postseason with a rating of 101.0., has type American football player

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

Example 2:
Question:
who did hera marry?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03g3c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03g3c fb:fictional_universe.fictional_character.married_to ?y .
  ?y fb:fictional_universe.marriage_of_fictional_characters.spouses ?x .
}

Using entities:
Hera, also known as Hera: Wife of Zeus, Queen Hera, Junon, Juno, Hera as Old Peasant Woman (fb:m.03g3c): Hera is the wife and one of three sisters of Zeus in the Olympia...ra's hatred by choosing Aphrodite as the most beautiful goddess., has type Deity

Using properties:
Married To (fb:fictional_universe.fictional_character.married_to): links to type Marriage (of Fictional Characters), part of Fictional Character schema
Spouses (fb:fictional_universe.marriage_of_fictional_characters.spouses): part of Marriage (of Fictional Characters) schema, links to type Fictional Character

Example 3:
Question:
what teams does kroenke own?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0dg6f6 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0dg6f6 fb:sports.sports_team_owner.teams_owned ?x .
}

Using entities:
Stan Kroenke, also known as Enos Stanley Kroenke (fb:m.0dg6f6): Enos Stanley "Stan" Kroenke is an American business entrepreneur...n. He was estimated to be worth $US 6 billion by Forbes in 2014., has type Organization leader

Using properties:
Teams Owned (fb:sports.sports_team_owner.teams_owned): links to type Professional Sports Team, part of Sports Team Owner schema

[Assistant]
The examples show how to query for sports-related information such as draft year, marriage, and team ownership. For the Knicks championship, we need to identify the entity for the Knicks and find a property related to winning championships or titles.

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

[Tool]
Top 10 entity alternatives:
1. 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
2. Knicks (fb:m.0_zmnj9): has type Musical Recording
3. Knicks (fb:m.012xvbr1): has type Musical Recording
4. Knicks (fb:m.010yvzgz): has type Musical Recording
5. Knicks (fb:m.0x5l80l): has type Musical Recording
6. Knicks (fb:m.0xr21r5)
7. Knicks (fb:m.012y7q_3)
8. Knicks (fb:m.010z02ck)
9. Knicks (fb:m.010ctmf4)
10. Knicks (fb:m.0__ldmv)

[Assistant] The entity "New York Knicks" (fb:m.0jm3v) is the professional sports team we are interested in. Next, I will search for properties related to championships or titles for this entity.

[Tool]
Top 10 property alternatives:
1. Championships (fb:sports.sports_team.championships): links to type Sports League Championship Event, part of Sports Team schema
2. Sport (fb:sports.sports_team.sport): part of Sports Team schema, links to type Sport
3. Venue (fb:sports.sports_team.venue): links to type Team/venue relationship, part of Sports Team schema
4. Sports Team Location (fb:sports.sports_team.location): links to type Sports Team Location, part of Sports Team schema
5. Conference (fb:basketball.basketball_team.conference): links to type Basketball Conference, part of Basketball Team schema
6. Key (fb:type.object.key): part of Object schema, links to type Key
7. Arena/Stadium (fb:sports.sports_team.arena_stadium): links to type Sports Facility, part of Sports Team schema
8. Roster (fb:sports.sports_team.roster): links to type Sports team roster, part of Sports Team schema
9. Member of (fb:sports.sports_team.league): links to type Sports league participation, part of Sports Team schema
10. Head Coach (fb:basketball.basketball_team.head_coach): links to type Basketball Coach, part of Basketball Team schema

No other items found

[Assistant] The property "Championships" (fb:sports.sports_team.championships) is relevant for finding the championships won by the New York Knicks. Next, I will query for the championships won by the Knicks and their corresponding years.

[Tool]
Got 2 rows and 3 columns:
| championship                  | championshipLabel    | year |
| ----------------------------- | -------------------- | ---- |
| 1973 NBA Finals (fb:m.0cs1kg) | 1973 NBA Finals (en) |      |
| 1970 NBA Finals (fb:m.0cs1x4) | 1970 NBA Finals (en) |      |

[Assistant]
The New York Knicks won the NBA Finals championships in 1973 and 1970. The last time they won the championship was in 1973.

I will now provide the final answer.

[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 used by 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 examples.

[Tool]
Example 1:
Question:
what ethnicity are people from iran?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.04nrnz ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.04nrnz fb:people.ethnicity.includes_groups ?x .
}

Using entities:
Iranian peoples (fb:m.04nrnz): The Iranian peoples or Iranic peoples are a diverse Indo-Europea...d as a result of Germanic, Slavic, Turkic and Mongol expansions., has type Ethnicity

Using properties:
Includes group(s) (fb:people.ethnicity.includes_groups): part of Ethnicity schema, links to type Ethnicity

Example 2:
Question:
where was john lennon standing when he was shot?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01vsl3_ ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01vsl3_ fb:people.deceased_person.place_of_death ?x .
}

Using entities:
John Lennon, also known as The Beatles, John, Plastic Ono Band, Lennon, John Winston Ono Lennon MBE (fb:m.01vsl3_): John Winston Ono Lennon MBE was an English singer and songwriter... wit in his music, writing, drawings, on film and in interviews., has type Musical Artist

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

Example 3:
Question:
what are the official languages of jamaica?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03_r3 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03_r3 fb:location.country.official_language ?x .
}

Using entities:
Jamaica (fb:m.03_r3): Jamaica is an island country situated in the Caribbean Sea, comp...d Canada, and the fourth most populous country in the Caribbean., has type Country

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

[Assistant]
From the examples, I see that countries are represented as entities and their properties such as official language or place of death are linked with specific properties. For the question about the currency of the Dominican Republic, I need to find the entity for the Dominican Republic and then find the property that relates to currency.

First, I will search for the entity "Dominican Republic" in the freebase knowledge graph.

[Tool]
Top 10 entity alternatives:
1. 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
2. Dominican Republic (fb:m.086c_78): has type Book Edition
3. Dominican Republic (fb:m.0ybwyw7): has type Musical Recording
4. Dominican Republic (fb:m.05dln_l): Grylls has some tips on how to survive the hurricane season and he also eats a tarantula to survive, has type TV Episode
5. Dominican Republic (fb:m.07mqzhw): A woman wants to find a house on the beach in the Dominican Republic., has type TV Episode
6. Dominican Republic, also known as TBD (fb:m.0n4tbww): Nearing toward the end of his final tour, Anthony Bourdain trave...the Caribbean for fresh fish and more in the Dominican Republic., has type TV Episode
7. Dominican Republic (fb:m.0116kn3q): Andi travels to the Dominican Republic where she spends intimate time with each of the three remaining bachelors., has type TV Episode
8. Dominican Republic (fb:m.0qdxlv): has type Musical Recording
9. Dominican Republic (fb:m.07lbffk): has type TV Episode
10. Dominican Republic (fb:m.011nglc8): The Dominican Republic offers perhaps the most exotic adventure experience in the Caribbean., has type TV Episode

[Assistant] The entity for the country Dominican Republic is fb:m.027rn. Now I will search for properties related to currency for this entity. I will search for properties with the keyword "currency" for the entity Dominican Republic.

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

No other items found

[Assistant] The property "Currency Used" (fb:location.country.currency_used) seems to be the appropriate property to find the currency of the Dominican Republic. I will now write a SPARQL query to get the currency used by the Dominican Republic (fb:m.027rn).

[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 ?standardName ?standardAbbr ?dstName ?dstAbbr ?dstOffset WHERE {
  fb:m.02hcv8 fb:time.time_zone.time_zone_name_standard ?standardName .
  fb:m.02hcv8 fb:time.time_zone.time_zone_abbreviation_standard ?standardAbbr .
  fb:m.02hcv8 fb:time.time_zone.time_zone_name_dst ?dstName .
  fb:m.02hcv8 fb:time.time_zone.time_zone_abbreviation_dst ?dstAbbr .
  fb:m.02hcv8 fb:time.time_zone.dst_offset_from_utc ?dstOffset .
}

Got 1 row and 5 columns:
| standardName               | standardAbbr | dstName                    | dstAbbr  | dstOffset |
| -------------------------- | ------------ | -------------------------- | -------- | --------- |
| Eastern Standard Time (en) | EST (en)     | Eastern Daylight Time (en) | EDT (en) | -4.0      |

Pennsylvania is in the Eastern Time Zone. The standard time zone is Eastern Standard Time (EST) with UTC offset -5, and during daylight saving time, it is Eastern Daylight Time (EDT) with UTC offset -4. The current exact time zone depends on whether daylight saving time is being observed right now.

[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 examples.

[Tool]
Example 1:
Question:
what language does people in netherlands speak?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.059j2 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.059j2 fb:location.country.languages_spoken ?x .
}

Using entities:
Netherlands, also known as Holland, The Netherlands, Nederlands, Nederland, Hollanti (fb:m.059j2): The Netherlands is the main constituent country of the Kingdom o...he Netherlands is a very densely populated country for its size., has type Country

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

Example 2:
Question:
where did pres clinton go to college?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0157m ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0157m fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:common.topic.notable_types fb:m.01y2hnl .
}

Using entities:
Bill Clinton, also known as The Wizard of "Is", The Comeback Kid, The Man From Hope (Arkansas), The Man From Hope, President Bill Clinton (fb:m.0157m): William Jefferson "Bill" Clinton is an American politician who s...oungest president and the first from the baby boomer generation., has type US President
College/University, also known as College, University (fb:m.01y2hnl): The College/University type is used for institutions that offer ...mation, please see the Freebase wiki page on College/University.

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

Example 3:
Question:
in what country is amsterdam?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0k3p ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0k3p fb:location.administrative_division.country ?x .
}

Using entities:
Amsterdam, also known as Amsterdam, Netherlands, Amsterdam, The Netherlands, Mokum, Venice of the North (fb:m.0k3p): Amsterdam is the capital city and most populous city of the King... time, the city was the leading center for finance and diamonds., has type City/Town/Village

Using properties:
Country (fb:location.administrative_division.country): part of Administrative Division schema, links to type Country

[Assistant]
The examples show how to find properties related to locations and their attributes. For the question "what time zone is Pennsylvania in right now?", we need to:

1. Identify the entity for Pennsylvania.
2. Find the property related to the time zone of Pennsylvania.
3. Since the question asks for the current time zone, we might need to consider if the knowledge graph has information about the current time zone or if it only has the standard time zone.

Let's start by searching for the entity "Pennsylvania" in the 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, let's search for properties related to time zone for this entity.

[Tool]
Top 10 property alternatives:
1. Time zone(s) (fb:location.location.time_zones): links to type Time Zone, part of Location schema
2. Geolocation (fb:location.location.geolocation): part of Location schema, links to type Geocode
3. Flag (fb:symbols.flag_referent.flag): part of Flag referent schema, links to type Flag use
4. Country (fb:base.locations.states_and_provences.country): part of States and provinces schema, links to type Countries
5. Country (fb:base.biblioness.bibs_location.country): part of Bibs Location schema, links to type Location
6. Country (fb:location.administrative_division.country): part of Administrative Division schema, links to type Country
7. Area (fb:location.location.area): links to type Floating Point Number, part of Location schema
8. entry (fb:user.tsegaran.random.taxonomy_subject.entry): part of Taxonomy Subject schema, links to type Taxonomy Entry
9. Daylife Topic (fb:common.identity.daylife_topic): links to type Enumeration, part of Identity schema
10. Capital (fb:base.aareas.schema.administrative_area.capital): part of Administrative Area schema, links to type City/Town/Village

No other items found

[Assistant] The property "Time zone(s)" (fb:location.location.time_zones) is relevant for Pennsylvania. Now, let's query the time zones of Pennsylvania using this property.

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

[Assistant]
Pennsylvania is in the "Eastern Time Zone" (fb:m.02hcv8) and also has the time zone offset "UTC−05:00" (fb:m.02_37z). However, the question asks for the current time zone, which may vary due to daylight saving time.

Let's check if there is any information about daylight saving time or current time offset for Pennsylvania or the Eastern Time Zone. I will search for properties related to "daylight saving" or "current time" for the Eastern Time Zone entity.

[Tool]
Top 10 property alternatives:
1. Day DST begins (fb:time.time_zone.day_dst_begins): links to type Day Of Year, part of Time Zone schema
2. Day DST ends (fb:time.time_zone.day_dst_ends): links to type Day Of Year, part of Time Zone schema
3. DST offset from UTC (fb:time.time_zone.dst_offset_from_utc): links to type Floating Point Number, part of Time Zone schema
4. Time zone name (DST) (fb:time.time_zone.time_zone_name_dst): part of Time Zone schema, links to type Text
5. Time zone abbreviation (DST) (fb:time.time_zone.time_zone_abbreviation_dst): part of Time Zone schema, links to type Text
6. Offset from UTC (fb:time.time_zone.offset_from_uct): links to type Floating Point Number, part of Time Zone schema
7. Time zone abbreviation (standard) (fb:time.time_zone.time_zone_abbreviation_standard): part of Time Zone schema, links to type Text
8. Time zone name (standard) (fb:time.time_zone.time_zone_name_standard): part of Time Zone schema, links to type Text
9. Locations in this time zone (fb:time.time_zone.locations_in_this_time_zone): part of Time Zone schema, links to type Location
10. Key (fb:type.object.key): part of Object schema, links to type Key

No other items found

[Assistant]
The Eastern Time Zone entity has properties related to daylight saving time such as "Day DST begins" (fb:time.time_zone.day_dst_begins), "Day DST ends" (fb:time.time_zone.day_dst_ends), "DST offset from UTC" (fb:time.time_zone.dst_offset_from_utc), and time zone abbreviations for standard and DST.

Since the question asks for the current time zone, we need to determine if Pennsylvania is currently observing daylight saving time or standard time. This requires knowing the current date and comparing it with the DST start and end dates.

However, the knowledge graph may not have real-time data for the current date. We can provide the standard time zone and the DST time zone information for Pennsylvania.

Let's query the standard and DST time zone names and abbreviations for the Eastern Time Zone.

[Tool]
Got 1 row and 5 columns:
| standardName               | standardAbbr | dstName                    | dstAbbr  | dstOffset |
| -------------------------- | ------------ | -------------------------- | -------- | --------- |
| Eastern Standard Time (en) | EST (en)     | Eastern Daylight Time (en) | EDT (en) | -4.0      |

[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 the 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, and Battle of Antietam among others.

[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 examples.

[Tool]
Example 1:
Question:
what religion did jesus christ follow?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.045m1_ ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.045m1_ fb:people.person.religion ?x .
}

Using entities:
Jesus Christ, also known as Yeshua, Jesus, son of Mary, Jesus of Nazareth, Jesus Christ, Son of God, Son of Mary, Jesus (fb:m.045m1_): Jesus, also referred to as Jesus of Nazareth, is the central fig...ted as "AD" or sometimes as "CE" is based on the birth of Jesus., has type Deity

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

Example 2:
Question:
what timezone is nevada in right now?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.059_c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.059_c fb:location.location.time_zones ?x .
}

Using entities:
Nevada, also known as NV, Silver State, Sagebrush State, Nev, Battle-Born State (fb:m.059_c): Nevada is a state in the Western, Mountain West, and Southwester...oshone, and Washoe tribes inhabited the land that is now Nevada., has type US State

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

Example 3:
Question:
what is the capital of alaska state?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0hjy ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0hjy fb:base.aareas.schema.administrative_area.capital ?x .
}

Using entities:
Alaska, also known as AK, Alasca, Last Frontier, The 49th State (fb:m.0hjy): Alaska is a U.S. state situated in the northwest extremity of th...hanges before becoming organized as a territory on May 11, 1912., has type US State

Using properties:
Capital (fb:base.aareas.schema.administrative_area.capital): part of Administrative Area schema, links to type City/Town/Village

[Assistant] I have seen examples of how to query for properties of a person or an entity. Now I will search for the entity "Stonewall Jackson" in the Freebase knowledge graph to get his identifier. Then I will look for properties related to battles or military engagements he fought in.

[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 most relevant entity for Stonewall Jackson as a military commander is fb:m.07r8h. Now I will search for properties related to battles or military engagements for this entity. I will try to find properties related to battles he fought in.

[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 "Participated in conflicts" (fb:military.military_person.participated_in_conflicts) seems to be the most relevant to find the battles Stonewall Jackson fought in. I will now write a SPARQL query to get the conflicts/battles that Stonewall Jackson participated in using this property.

[Tool]
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)         |

[Tool] Stopped generation process