PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?material WHERE {
  wd:Q39231 wdt:P186 ?material
}

Mount Fuji (Fujiyama) is made of basalt.

[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:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
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 Fujiyama made of?

[Assistant]
Let's break down the question:

1. The user is asking about "Fujiyama," which is commonly known as Mount Fuji, a famous volcano in Japan.
2. The question is about what it is "made of," which likely refers to its geological composition (e.g., rock types, materials).

First, I will search for the entity "Fujiyama" in Wikidata to get its identifier.

[Tool]
Top 10 entity alternatives:
1. Mount Fuji, also known as Mt. Fuji, Mt Fuji, Fujiyama, Fuji-yama, Fuji-san (wd:Q39231): volcano in Yamanashi and Shizuoka Prefectures, Japan
2. Fujiyama, also known as Fujiyama (roller coaster) (wd:Q788077): roller coaster in Fujiyoshida, Japan
3. Fujiyama, also known as 藤山 (wd:Q19364120): Japanese family name (藤山)
4. Fujiyama (wd:Q17174578): dissolved municipality in Chiisagata district, Nagano prefecture, Japan
5. Fujiyama (wd:Q11623847): dissolved municipality in Asa district, Yamaguchi prefecture, Japan
6. Fujiyama (wd:Q24876637): Japanese mangaka, illustrator
7. Fujiyama (wd:Q46945234): painting by John Henry Twachtman
8. Kazuhito Fujiyama, also known as Fujiyama (wd:Q88822958): botanist
9. Ryuji Fujiyama (wd:Q1092137): Japanese association football player, association football player
10. Tomofumi Fujiyama, also known as Fujiyama Tomofumi (wd:Q38277863): Japanese association football player (1994-), association football player

[Assistant]
The most relevant entity for "Fujiyama" as a volcano is "Mount Fuji" (wd:Q39231).

Next, I need to find properties related to the geological composition or what Mount Fuji is made of. I will search for properties related to "composition" or "material" for this entity.

[Tool]
Top 10 property alternatives:
1. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as p/wdt): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).
2. part of, also known as of, within, system of, subsystem of, subgroup of (wd:P361 as p/wdt): object of which the subject is a part (if this subject is alread... of "has part" (P527, see also "has parts of the class" (P2670))
3. made from material, also known as material used, manufactured out of, manufactured from, made of material, made of (wd:P186 as p/wdt): material the subject or the object is made of or derived from (do not confuse with P10672 which is used for processes), uses
4. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
5. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
6. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as p/wdt): label for the items in their official language  or their original language, name
7. spoken text audio, also known as audio description, spoken Wikipedia, spoken Wikipedia text audio, Wikipedia audio, Wikipedia spoken text audio (wd:P989 as p/wdt): audio file for the spoken work or Wikipedia article, including audio descriptions, audio
8. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as p/wdt): main Wikimedia category
9. depicted by, also known as acted by, shown in, seen in, portrayed by, played by (wd:P1299 as p/wdt): object depicting this subject (object being creative works such as books, films, paintings)
10. located in/on physical feature, also known as located on the terrain feature, location (terrain feature), loc (terr), on, on geographical feature (wd:P706 as p/wdt): located on the specified (geo)physical feature. Should not be us...nly political/administrative (P131) or a mountain range (P4552)., location, part of

No other items found

[Assistant] The property "made from material" (wd:P186) is the most relevant for finding out what Mount Fuji is made of. I will now check if this property is used for Mount Fuji and what materials are listed.

[Tool]
Got 1 row and 3 columns:
| subject                | property                      | object             |
| ---------------------- | ----------------------------- | ------------------ |
| Mount Fuji (wd:Q39231) | made from material (wdt:P186) | basalt (wd:Q43338) |

[Tool]
Got 514 rows and 3 columns, showing the first 10 rows below:
| subject            | property                                       | object                                                                                |
| ------------------ | ---------------------------------------------- | ---------------------------------------------------------------------------------------------------- |
| basalt (wd:Q43338) | instance of (wdt:P31)                          | rock type (wd:Q11871901)                                                                             |
| basalt (wd:Q43338) | Commons category (wdt:P373)                    | Basalt                                                                                |
| basalt (wd:Q43338) | image (wdt:P18)                                | <http://commons.wikimedia.org/wiki/Special:FilePath/Basaltfels%20aus%20Popocatepetl%2C%20Mexico.jpg> |
| basalt (wd:Q43338) | subclass of (wdt:P279)                         | volcanic rock (wd:Q108689)                                                                           |
| basalt (wd:Q43338) | described by source (wdt:P1343)                | Brockhaus and Efron Encyclopedic Dictionary (wd:Q602358)                                             |
| basalt (wd:Q43338) | award received (wdt:P166)                      | Rock of the Year (wd:Q1519491)                                                                       |
| basalt (wd:Q43338) | on focus list of Wikimedia project (wdt:P5008) | wd:Q6173448                                                                                |
| basalt (wd:Q43338) | topic's main category (wdt:P910)               | wd:Q8290615                                                                                |
| basalt (wd:Q43338) | named after (wdt:P138)                         | Black Tortoise (wd:Q125696)                                                                          |
| basalt (wd:Q43338) | exact match (wdt:P2888)                        | <http://purl.obolibrary.org/obo/ENVO_01000236>                                                       |
| ...                | ...                                            | ...                                                                                |

[Tool]
Got 1 row and 1 column:
| material           |
| ------------------ |
| basalt (wd:Q43338) |

[Tool]
Got 1 row and 2 columns:
| material           | materialLabel |
| ------------------ | ------------- |
| basalt (wd:Q43338) | basalt (en)   |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
ASK {
  wd:Q1650 wdt:P2043 ?weserLength .
  wd:Q584 wdt:P2043 ?rhineLength .
  FILTER ( ?weserLength > ?rhineLength )
}

No, the Weser is not longer than the Rhine. The Weser is 451 km long, while the Rhine is 1232.7 km long.

[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:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
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] Is the Weser longer than the Rhine?

[Assistant]
Let's break down the question:

1. We need to identify the entities "Weser" and "Rhine" in Wikidata.
2. We need to find the property that represents the length of a river.
3. We need to compare the lengths of the Weser and the Rhine and check if the Weser is longer.

First, I'll search for the entities "Weser" and "Rhine" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Weser, also known as Werser (wd:Q1650): river in north-western Germany
2. Seydlitz, also known as German cruiser Seydlitz, Weser (wd:Q662855): 1939 Admiral Hipper-class cruiser
3. Weser (wd:Q2563829): German pilot vessel
4. Weser (wd:Q28657280): nature preserve in North Rhine-Westphalia, Germany
5. Pola I, also known as Arngast, Baltica, Beta, Drochtersen, IMO 5387740 (wd:Q83582689): ship built in 1958
6. Weser (wd:Q56515182): ship built by Schichau Unterweser
7. Weser (wd:Q37225304): family name
8. Weser (wd:Q34857185): part of a river in Germany
9. Weser (wd:Q2563832): 1931 German ship
10. Weser, also known as IMO 6620266, Wabda (wd:Q106677892): bulk carrier launched in 1966

[Tool]
Top 10 entity alternatives:
1. Rhine (wd:Q584): river in Western Europe to the North Sea
2. Rhine, also known as Rhine, GA, Rhine, Georgia (wd:Q2156232): town in Dodge County, Georgia, USA
3. Rhine (wd:Q1886951): civil town in Sheboygan County, Wisconsin
4. Seerhein, also known as Rhine (wd:Q481339): river
5. Rhine (wd:Q7320550): ship
6. rhyne, also known as reen, rhine (wd:Q7321737): term for a drainage ditch or canal in parts of England and Wales
7. Rhine Center, also known as Rhine, Rhine Center, WI, Rhine Center, Wisconsin (wd:Q7320551): unincorporated community in Sheboygan County, Wisconsin
8. Rhine (wd:Q37575224): family name
9. Rhine (wd:Q110815477): given name
10. Rhine (wd:Q104267295): townland in Cloonee, County Longford, Ireland

[Tool]
Top 10 property alternatives:
1. duration, also known as time length, timespan, time span, time interval, runtime (wd:P2047 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): length of time of an event or process
2. length, also known as size, long, LOA, distance, dimension (wd:P2043 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): measured dimension of an object
3. block size, also known as block length (wd:P2599 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): size of block for this block cipher or hash function
4. perimeter, also known as boundary length, circumference, coastline (wd:P2547 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): linear distance around the outside of an object
5. term length of position, also known as term length, time in position, term of position, position term, length of term (wd:P2097 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): length of time in years (unit: Q577) a person (usually a politician) is to serve in a particular position. Do not add bounds., duration
6. area, also known as total area, surface area, surface, size, resolution (wd:P2046 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): area occupied by an object
7. width, also known as breadth, bus width, size (wd:P2049 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): width of an object, length
8. height, also known as heighth, size, depth over terrain (wd:P2048 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): vertical length of an entity, length
9. beam, also known as width, breadth, BOA (wd:P2261 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): width of a ship at its widest point measured at its nominal waterline
10. elevation above sea level, also known as MAMSL, MASL, height, elevation above mean sea level, elevation (wd:P2044 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): height of the item (geographical object) as measured relative to sea level

[Tool]
Got 2 rows and 2 columns:
| river            | length               |
| ---------------- | -------------------- |
| Weser (wd:Q1650) | 451 (xsd:decimal)    |
| Rhine (wd:Q584)  | 1232.7 (xsd:decimal) |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
SELECT ?event ?deaths ?eventLabel WHERE {
  ?event wdt:P1120 ?deaths .
  ?event wdt:P31 ?class .
  FILTER ( ?class = wd:Q1656682 || ?class = wd:Q1190554 || ?class = wd:Q12184 ) .
  OPTIONAL {
    ?event wdt:P585 ?pointInTime .
  }
  OPTIONAL {
    ?event wdt:P580 ?startTime .
  }
  OPTIONAL {
    ?event wdt:P582 ?endTime .
  }
  FILTER ( ( ?pointInTime >= "1910-01-01T00:00:00Z" ^^ xsd:dateTime && ?pointInTime <= "1920-12-31T23:59:59Z" ^^ xsd:dateTime ) || ( ?startTime >= "1910-01-01T00:00:00Z" ^^ xsd:dateTime && ?startTime <= "1920-12-31T23:59:59Z" ^^ xsd:dateTime ) || ( ?endTime >= "1910-01-01T00:00:00Z" ^^ xsd:dateTime && ?endTime <= "1920-12-31T23:59:59Z" ^^ xsd:dateTime ) ) OPTIONAL {
    ?event rdfs:label ?eventLabel FILTER ( lang( ?eventLabel ) = "en" )
  }
}
ORDER BY DESC ( ?deaths )
LIMIT 1

The event that killed the most people between 1910 and 1920 was the 1918-1920 flu pandemic (Spanish flu), with an estimated 50,000,000 deaths.

[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:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
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 event killed the most people in the years 1910 to 1920?

[Assistant]
Let's break down the question:

1. We are looking for an "event" (likely a subclass of "event" in Wikidata).
2. The event must have occurred between 1910 and 1920.
3. We want the event with the highest number of deaths ("killed the most people").

First, I will search for the property related to "number of deaths" or "casualties" to identify how Wikidata models this information.

[Tool]
Top 10 property alternatives:
1. number of deaths, also known as dead, qty fatalities, qty deaths, number of fatalities, fatalities (wd:P1120 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): total (cumulative) number of people who died since start as a direct result of an event or cause
2. number of casualties, also known as casualities, number of deaths and injuries (wd:P1590 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): number of people dead or injured because of this event.  Used wh...e data on number of deaths and number of injured is unavailable.
3. number of victims of killer, also known as number of persons killed, number of killed persons, number of homicide victims, kills, kill count (wd:P1345 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): people killed by the subject, both legal and illegal
4. death rate, also known as mortality rate (wd:P10091 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): the total number of persons dead per 1,000 population per year
5. case fatality rate, also known as fatality rate, CFR, case fatality ratio, case fatality, case fatality risk (wd:P3457 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): proportion of patients who die of a particular medical condition out of all who have this condition within a given time frame
6. number of graves, also known as total number of graves, capacity cemetery (wd:P2351 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): number of burial places in a cemetery or necropolis, maximum capacity, quantity
7. quantity buried, also known as burials, graves, number of burials, number of people buried (wd:P2324 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): number of remains buried or interred, quantity
8. number of losses, also known as defeats, games lost, L, losses, lost (wd:P1356 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): number of sporting matches, games or events lost
9. cause of death, also known as death cause, murder method, method of murder, die of, die from (wd:P509 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): underlying or immediate cause of death.  Underlying cause (e.g. ...adest category, e.g. natural causes, accident, homicide, suicide
10. number of survivors, also known as survivors (wd:P1561 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): number of people surviving an event

[Assistant]
The most relevant property for "number of deaths" is `wdt:P1120` ("number of deaths").

Next, I need to identify how to filter for "events" and restrict them to those that occurred between 1910 and 1920. I will search for the entity representing "event" in Wikidata to use as a class filter.

[Tool]
Top 10 entity alternatives:
1. event, also known as statistics event (wd:Q10290214): in statistics and probability theory, set of outcomes to which a probability is assigned
2. occurrence, also known as perdurants, incident, perdurant, occurring, occurrant (wd:Q1190554): occurrence of a fact or object in space-time; instantiation of a property in an object
3. quick time event, also known as event, QTE, quick time events (wd:Q1392636): video game mechanic
4. event, also known as computer event, Event (computing), event (informatics) (wd:Q3291944): computing operation that can be recognized and handled by software
5. event, also known as activity, events, happening (wd:Q1656682): temporary and scheduled happening, like a conference, festival, competition or similar
6. event (wd:Q100235738): objects in time or instantiations of properties in objects (in philosophy)
7. The Event, also known as Event (wd:Q22192553): documentary about the August days of 1991 in Leningrad
8. An Event, also known as Event (wd:Q3506213): 1969 film by Vatroslav Mimica
9. event (wd:Q5416694): in particle physics, set of particle interactions occurring in a brief span of time
10. event (wd:Q5416692): in computer programming, synchronization primitive

[Assistant]
The most appropriate entity for a general "event" (as a real-world happening) is likely `wd:Q1656682` ("event" - temporary and scheduled happening, like a conference, festival, competition or similar). However, for historical events like wars, disasters, etc., sometimes "occurrence" (`wd:Q1190554`) is used.

To be comprehensive, I will use both as possible classes for events. Next, I need to filter for events that occurred between 1910 and 1920. For this, I need the property for "point in time" or "start date" and "end date". I will search for these properties.

[Tool]
Top 10 property alternatives:
1. point in time, also known as at time, as of, year, when, time of event (wd:P585 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
2. valid in period, also known as valid in season, valid for season, valid for period, valid for, time period (wd:P1264 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): time period when a statement is valid
3. set in period, also known as time period set in, time period of setting, time period, takes place in time, takes place during (wd:P2408 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): historical, contemporary, or future period, year, century or day...rk or genre is set in or event featured in the story of the work
4. time period, also known as oge (oge akụkọ ihe mere eme ma ọ...ụ mere ma ọ bụ nke ejikọtara ya. (wd:P2348 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): time period (historic period or era, sports season, theatre seas...c.) in which the subject occurred or with which it is associated
5. start time, also known as start date, since, valid, join time, joined (wd:P580 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): time an entity begins to exist or a statement starts being valid, point in time
6. date depicted, also known as depicted date, temporal coverage, shown as at date, depicts date, depicted time (wd:P2913 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): date represented in a work (for narrative works use P2408)
7. term length of position, also known as term length, time in position, term of position, position term, length of term (wd:P2097 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): length of time in years (unit: Q577) a person (usually a politician) is to serve in a particular position. Do not add bounds., duration
8. history of topic, also known as history of the topic, timeline of subject, timeline of the subject, timeline of the topic, timeline of topic (wd:P2184 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): item about the historical development of a subject's topic, exam... To list key events of the topic, use "significant event" (P793), studied in
9. latest date, also known as terminus ante quem, prior to, on or before this date, no later than, max date (wd:P1326 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): latest possible time that something could have occurred. Use as qualifier for other date properties
10. recording date, also known as recorded date, record date, recdate, rec. date, date of recording (wd:P10135 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): the date when a recording was made, inception

[Assistant]
The relevant properties for time filtering are:
- `wdt:P585` (point in time) for single-date events,
- `wdt:P580` (start time) and `wdt:P582` (end time) for events with a duration.

Now, I will construct a query to:
- Find all events (instances of `wd:Q1656682` or `wd:Q1190554`)
- That occurred (point in time, or start/end time) between 1910 and 1920
- With a "number of deaths" (`wdt:P1120`)
- Return the event and the number of deaths, sorted descending, and limit to the top result

I will now write and execute this query.

[Tool]
Got 1 row and 2 columns:
| event                         | deaths              |
| ----------------------------- | ------------------- |
| Rape of Belgium (wd:Q2054700) | 23700 (xsd:decimal) |

[Tool]
Got 1 row and 3 columns:
| event                         | deaths              | eventLabel           |
| ----------------------------- | ------------------- | -------------------- |
| Rape of Belgium (wd:Q2054700) | 23700 (xsd:decimal) | Rape of Belgium (en) |

[Tool]
Got 5 rows and 3 columns:
| event                                              | deaths              | eventLabel                               |
| -------------------------------------------------- | ------------------- | ---------------------------------------- |
| Rape of Belgium (wd:Q2054700)                      | 23700 (xsd:decimal) | Rape of Belgium (en)                     |
| Agulis Massacre (wd:Q105409675)                    | 1400 (xsd:decimal)  | Agulis Massacre (en)                     |
| Khaibalikend Massacre (wd:Q6398993)                | 700 (xsd:decimal)   | Khaibalikend Massacre (en)               |
| Khaibalikend Massacre (wd:Q6398993)                | 600 (xsd:decimal)   | Khaibalikend Massacre (en)               |
| Conflagration at Wöllerdorfer Werke (wd:Q81160742) | 423 (xsd:decimal)   | Conflagration at Wöllerdorfer Werke (en) |

[Tool]
Top 10 entity alternatives:
1. 1918-1920 flu pandemic, also known as The 1918 flu, 1918 flu pandemic spread, Spanish flu pandemic, Spanish flu, influenza pandemic of 1918–1919 (wd:Q178275): 1918–1920 global influenza pandemic caused by the H1N1 influenza A virus
2. Spanish flu (wd:L1223788-S1)
3. Spanish flu (wd:L1223787-S1)
4. Spanish flu (wd:L1223785-S1)
5. Spanish flu (wd:L1223786-S1)
6. Spanish flu research (wd:Q7573369): scientific research of the 1918 influenza pandemic
7. Spanish flu in Austria (wd:Q96239861)
8. Editorial: Spanish flux (wd:Q68889434): scientific article published on 01 December 1974
9. Vaccine against Spanish flu (wd:Q82858558): scientific article
10. Self-portrait with Spanish Flu (wd:Q18890761): painting by Edvard Munch (Woll 1280)

[Tool]
Got 649 rows and 3 columns, showing the first 10 rows below:
| subject                             | property                                       | object                                                                                |
| ----------------------------------- | ---------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| 1918-1920 flu pandemic (wd:Q178275) | instance of (wdt:P31)                          | pandemic (wd:Q12184)                                                                                |
| 1918-1920 flu pandemic (wd:Q178275) | Commons category (wdt:P373)                    | Spanish flu                                                                                |
| 1918-1920 flu pandemic (wd:Q178275) | image (wdt:P18)                                | <http://commons.wikimedia.org/wiki/Special:FilePath/Emergency%20hospital%20during%20Influenza%20epidemic%2C%20Camp%20Funston%2C%20Kansas%20-%20NCP%201603.jpg> |
| 1918-1920 flu pandemic (wd:Q178275) | subclass of (wdt:P279)                         | disease (wd:Q12136)                                                                                |
| 1918-1920 flu pandemic (wd:Q178275) | described at URL (wdt:P973)                    | <https://www.who.int/influenza/pandemic-influenza-an-evolving-challenge/en/>                                                                                |
| 1918-1920 flu pandemic (wd:Q178275) | has part(s) (wdt:P527)                         | Spanish flu of 1918-1919 in Switzerland (wd:Q56313318)                                                                                |
| 1918-1920 flu pandemic (wd:Q178275) | described by source (wdt:P1343)                | Pale Rider. The Spanish Flu of 1918 and How it Changed the World (wd:Q89882914)                                                                                |
| 1918-1920 flu pandemic (wd:Q178275) | country of origin (wdt:P495)                   | United States (wd:Q30)                                                                                |
| 1918-1920 flu pandemic (wd:Q178275) | on focus list of Wikimedia project (wdt:P5008) | WikiProject COVID-19 (wd:Q87748614)                                                                                |
| 1918-1920 flu pandemic (wd:Q178275) | significant event (wdt:P793)                   | World War I (wd:Q361)                                                                                |
| ...                                 | ...                                            | ...                                                                                |

[Tool]
Got 1 row and 3 columns:
| subject                             | property                     | object                 |
| ----------------------------------- | ---------------------------- | ---------------------- |
| 1918-1920 flu pandemic (wd:Q178275) | number of deaths (wdt:P1120) | 50000000 (xsd:decimal) |

[Tool]
Got 111 rows and 3 columns, showing the first 10 rows below:
| subject                             | property   | object                                 |
| ----------------------------------- | ---------- | -------------------------------------- |
| 1918-1920 flu pandemic (wd:Q178275) | rdfs:label | 1918-1920 flu pandemic (en)            |
| 1918-1920 flu pandemic (wd:Q178275) | rdfs:label | 1918 flu pandemic (en-ca)              |
| 1918-1920 flu pandemic (wd:Q178275) | rdfs:label | 1918 flu pandemic (en-gb)              |
| 1918-1920 flu pandemic (wd:Q178275) | rdfs:label | 1918 फ्लू महामारी (hi)                 |
| 1918-1920 flu pandemic (wd:Q178275) | rdfs:label | 1918 இன்ஃபுளுவென்சா தொற்றுப்பரவல் (ta) |
| 1918-1920 flu pandemic (wd:Q178275) | rdfs:label | ၁၉၁၈ တုပ်ကွေး ကမ္ဘာကပ် (my)            |
| 1918-1920 flu pandemic (wd:Q178275) | rdfs:label | 1918年流感大流行 (wuu)                       |
| 1918-1920 flu pandemic (wd:Q178275) | rdfs:label | 1918年流感大流行 (zh)                        |
| 1918-1920 flu pandemic (wd:Q178275) | rdfs:label | 1918年流感大流行 (zh-cn)                     |
| 1918-1920 flu pandemic (wd:Q178275) | rdfs:label | 1918年流感大流行 (zh-hans)                   |
| ...                                 | ...        | ...                                    |

[Tool]
Got 5 rows and 3 columns:
| event                               | deaths                 | eventLabel                  |
| ----------------------------------- | ---------------------- | --------------------------- |
| 1918-1920 flu pandemic (wd:Q178275) | 50000000 (xsd:decimal) | 1918-1920 flu pandemic (en) |
| Rape of Belgium (wd:Q2054700)       | 23700 (xsd:decimal)    | Rape of Belgium (en)        |
| Agulis Massacre (wd:Q105409675)     | 1400 (xsd:decimal)     | Agulis Massacre (en)        |
| Khaibalikend Massacre (wd:Q6398993) | 700 (xsd:decimal)      | Khaibalikend Massacre (en)  |
| Khaibalikend Massacre (wd:Q6398993) | 600 (xsd:decimal)      | Khaibalikend Massacre (en)  |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?country WHERE {
  wd:Q5451 wdt:P17 ?country
}

Got 7 rows and 1 column:
| country                              |
| ------------------------------------ |
| People's Republic of China (wd:Q148) |
| India (wd:Q668)                      |
| Myanmar (wd:Q836)                    |
| Nepal (wd:Q837)                      |
| Pakistan (wd:Q843)                   |
| Afghanistan (wd:Q889)                |
| Bhutan (wd:Q917)                     |

The Himalayas are located in the following countries: China, India, Myanmar, Nepal, Pakistan, Afghanistan, and Bhutan.

[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:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

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

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

[User] In which countries is the Himalayas located?

[Assistant]
Let's break down the question:

1. The main entity is "Himalayas", which is a mountain range.
2. The property we need is something like "located in country" or "country".
3. The expected answer is a list of countries where the Himalayas are located.

First, I will search for the entity "Himalayas" in Wikidata to get its identifier.

[Tool]
Top 10 entity alternatives:
1. Himalayas, also known as Himalaya, Himálaya, Himalaya Mountains, Himálaya Mountains, Himalayan Mountains (wd:Q5451): mountain range in Asia
2. The Himalayas, also known as Himalayas (wd:Q21546296): 2015 film directed by Lee Seok-hoon
3. Himalayas (wd:Q85766587): Welsh rock band
4. Himalayas (wd:Q100353676): painting by Gaganendranath Tagore
5. Himalayas (wd:Q100374811)
6. Himalayas (wd:Q100403347): painting collection of National Gallery of Modern Art, Bangalore
7. Himalayas (wd:Q20441754): painting by Eliot Clark
8. Himalayas (wd:Q20469856): painting by Sidney Nolan
9. Himalayas (wd:Q20469983): painting by Sidney Nolan (AGNSW, 96.1989)
10. Himalayas (wd:L1125498-S1)

[Assistant]
The correct entity for the Himalayas mountain range is wd:Q5451.

Next, I need to find the appropriate property that links a mountain range to the countries it is located in. This is likely to be "country", "located in", or something similar. I will search for properties related to "country" for mountain ranges.

[Tool]
Top 10 property alternatives:
1. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
2. continent (wd:P30 as p/wdt): continent of which the subject is a part, located in/on physical feature
3. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
4. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as p/wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
5. part of, also known as of, within, system of, subsystem of, subgroup of (wd:P361 as p/wdt): object of which the subject is a part (if this subject is alread... of "has part" (P527, see also "has parts of the class" (P2670))
6. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
7. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as p/wdt): main Wikimedia category
8. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
9. area, also known as total area, surface area, surface, size, resolution (wd:P2046 as p/wdt): area occupied by an object
10. width, also known as breadth, bus width, size (wd:P2049 as p/wdt): width of an object, length

No other items found

[Tool]
Got 7 rows and 3 columns:
| subject              | property          | object                               |
| -------------------- | ----------------- | ------------------------------------ |
| Himalayas (wd:Q5451) | country (wdt:P17) | India (wd:Q668)                      |
| Himalayas (wd:Q5451) | country (wdt:P17) | People's Republic of China (wd:Q148) |
| Himalayas (wd:Q5451) | country (wdt:P17) | Afghanistan (wd:Q889)                |
| Himalayas (wd:Q5451) | country (wdt:P17) | Pakistan (wd:Q843)                   |
| Himalayas (wd:Q5451) | country (wdt:P17) | Nepal (wd:Q837)                      |
| Himalayas (wd:Q5451) | country (wdt:P17) | Myanmar (wd:Q836)                    |
| Himalayas (wd:Q5451) | country (wdt:P17) | Bhutan (wd:Q917)                     |

[Tool]
Got 7 rows and 1 column:
| country                              |
| ------------------------------------ |
| People's Republic of China (wd:Q148) |
| India (wd:Q668)                      |
| Myanmar (wd:Q836)                    |
| Nepal (wd:Q837)                      |
| Pakistan (wd:Q843)                   |
| Afghanistan (wd:Q889)                |
| Bhutan (wd:Q917)                     |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
ASK {
  VALUES ?person1 {
    wd:Q2926117
  }
  VALUES ?person2 {
    wd:Q87192979
  }
  ?person1 wdt:P19 ?birthplace1 .
  ?person2 wdt:P19 ?birthplace2 .
  ?birthplace1 wdt:P131 ?county1 .
  ?county1 wdt:P131 ?state1 .
  ?birthplace2 wdt:P131 ?state2 .
  FILTER ( ?state1 = ?state2 && ?state1 = wd:Q1261 )
}

Yes, both Brooke Raboutou and Colin Duffy are from the state of Colorado, USA.

[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:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
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] are brooke raboutou and colin duffy from same state of the usa?

[Assistant]
Let's break down the question:

1. We need to identify the entities for "Brooke Raboutou" and "Colin Duffy" in Wikidata.
2. We need to find their respective places of birth or home states in the USA.
3. We need to check if both are from the same state.

First, I will search for the Wikidata entities for "Brooke Raboutou" and "Colin Duffy".

[Tool]
Top 10 entity alternatives:
1. Brooke Raboutou (wd:Q2926117): American sport climber, competition climber, rock climber
2. Tera Patrick, also known as Linda Ann Hopkins Shapiro, Sadie Jordan, Tara Patrick, Tera Hopkins, Brooke (wd:Q30628): American pornographic actress, erotic photography model, pornographic actor, autobiographer, film producer, film actor, blogger, model
3. Brooke Scullion, also known as Brooke (wd:Q110619704): Irish musical artist, songwriter, singer
4. Brooke, also known as Brooke, Rutland (wd:Q2620721): village in Rutland, England, United Kingdom
5. Victor Brooke, also known as Brooke, Sir Victor Alexander Brooke, 3rd Bt. (wd:Q3557201): British naturalist (1843-1891), naturalist
6. Brooke, also known as Brooke, Norfolk (wd:Q2350389): village in Norfolk, England, United Kingdom
7. Brooke (wd:Q15300112): crater on Venus
8. Brooke (wd:Q3645341): unisex given name
9. Brooke (wd:Q16860538): family name
10. Jocelyn Brooke, also known as Bernard Jocelyn Brooke, Brooke (wd:Q6207104): British writer and botanist (1908-1966), botanist, writer

[Tool]
Top 10 entity alternatives:
1. Colin Duffy (wd:Q87192979): Sport climber from the United States, climber
2. Colin Duffy (wd:Q5145059): Irish Republican
3. Duffy, also known as Amie Ann Duffy, Aimee Anne Duffy (wd:Q192587): singer-songwriter, Welsh singer, film actor, songwriter, composer, singer
4. hake, also known as colin, Hake fish (wd:Q1289807): fish, ambiguous vernacular name
5. Stephen Duffy, also known as Stephen 'Tin Tin' Duffy, Stephen Tin Tin Duffy, Tin Tin, Duffy, Stephen Anthony James Duffy (wd:Q2000460): English songwriter, vocalist; founding member of Duran Duran, singer-songwriter, songwriter, guitarist, singer
6. Colin, also known as Colin (first name), Colin (given name) (wd:Q495635): male given name
7. Collin College, also known as CCCC, Quad C, Collin County Community College District, Collin County Community College, Collin (wd:Q5147228): community college system in Collin County, TX, headquartered in McKinney
8. Colin (wd:Q3278815): 2008 film by Marc Price
9. Duffy, also known as Duffy, Australian Capital Territory, Duffy, Australian Capital Territory, Australia (wd:Q910857): suburb of Canberra, Australia
10. Colin (wd:Q5144839): American-bred Thoroughbred racehorse

[Tool]
Top 10 property alternatives:
1. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as p/wdt): most specific known birth location of a person, animal or fictional character, location
2. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as p/wdt): date on which the subject was born, inception
3. sex or gender, also known as gender or sex, sex, gender identity, gender expression, gender (wd:P21 as p/wdt): sex or gender identity of human or animal. For human: male, fema...m, female organism. Groups of same gender use subclass of (P279)
4. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt): the object is a country that recognizes the subject as its citizen, country
5. mother, also known as mom, is child of, mommy, mum, mummy (wd:P25 as p/wdt): female parent of the subject. For stepmother, use "stepparent" (P3448), parent
6. father, also known as son of, child of, parent, is son of, is daughter of (wd:P22 as p/wdt): male parent of the subject. For stepfather, use "stepparent" (P3448), parent
7. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as p/wdt): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name
8. occupation, also known as job, work, vocation, profession, employment (wd:P106 as p/wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
9. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)

No other items found

[Tool]
Top 10 property alternatives:
1. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as p/wdt): most specific known birth location of a person, animal or fictional character, location
2. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as p/wdt): date on which the subject was born, inception
3. sex or gender, also known as gender or sex, sex, gender identity, gender expression, gender (wd:P21 as p/wdt): sex or gender identity of human or animal. For human: male, fema...m, female organism. Groups of same gender use subclass of (P279)
4. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt): the object is a country that recognizes the subject as its citizen, country
5. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as p/wdt): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name
6. occupation, also known as job, work, vocation, profession, employment (wd:P106 as p/wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
7. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
8. residence, also known as living in, place of residence, resided at, resided in, resident in (wd:P551 as p/wdt): the place where the person is or has been, resident, location
9. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
10. family name, also known as clan name, last name, surname (wd:P734 as p/wdt): part of full name of person, name

No other items found

[Tool]
Got 1 row and 3 columns:
| subject                       | property                 | object               |
| ----------------------------- | ------------------------ | -------------------- |
| Brooke Raboutou (wd:Q2926117) | place of birth (wdt:P19) | Boulder (wd:Q192517) |

[Tool]
Got 1 row and 3 columns:
| subject                    | property                 | object                  |
| -------------------------- | ------------------------ | ----------------------- |
| Colin Duffy (wd:Q87192979) | place of birth (wdt:P19) | Broomfield (wd:Q492819) |

[Tool]
Got 574 rows and 3 columns, showing the first 10 rows below:
| subject              | property                                                    | object                                                                   |
| -------------------- | ----------------------------------------------------------- | ------------------------------------------------------------------------ |
| Boulder (wd:Q192517) | instance of (wdt:P31)                                       | county seat (wd:Q62049)                                                  |
| Boulder (wd:Q192517) | country (wdt:P17)                                           | United States (wd:Q30)                                                   |
| Boulder (wd:Q192517) | located in the administrative territorial entity (wdt:P131) | Boulder County (wd:Q113029)                                              |
| Boulder (wd:Q192517) | coordinate location (wdt:P625)                              | POINT(-105.292778 40.019444) (geo:wktLiteral)                            |
| Boulder (wd:Q192517) | Commons category (wdt:P373)                                 | Boulder, Colorado                                                        |
| Boulder (wd:Q192517) | image (wdt:P18)                                             | <http://commons.wikimedia.org/wiki/Special:FilePath/BoulderBearPeak.jpg> |
| Boulder (wd:Q192517) | population (wdt:P1082)                                      | 108250 (xsd:decimal)                                                     |
| Boulder (wd:Q192517) | inception (wdt:P571)                                        | 1858-01-01T00:00:00Z (xsd:dateTime)                                      |
| Boulder (wd:Q192517) | described by source (wdt:P1343)                             | Encyclopædia Britannica 11th edition (wd:Q867541)                        |
| Boulder (wd:Q192517) | official name (wdt:P1448)                                   | Boulder (en)                                                             |
| ...                  | ...                                                         | ...                                                                      |

[Tool]
Got 432 rows and 3 columns, showing the first 10 rows below:
| subject                 | property                                                    | object                                                                                |
| ----------------------- | ----------------------------------------------------------- | ------------------------------------------------------------------------------------------------------ |
| Broomfield (wd:Q492819) | instance of (wdt:P31)                                       | county seat (wd:Q62049)                                                                                |
| Broomfield (wd:Q492819) | country (wdt:P17)                                           | United States (wd:Q30)                                                                                |
| Broomfield (wd:Q492819) | located in the administrative territorial entity (wdt:P131) | Colorado (wd:Q1261)                                                                                |
| Broomfield (wd:Q492819) | coordinate location (wdt:P625)                              | POINT(-105.050000 39.933333) (geo:wktLiteral)                                                          |
| Broomfield (wd:Q492819) | Commons category (wdt:P373)                                 | Broomfield, Colorado                                                                                |
| Broomfield (wd:Q492819) | image (wdt:P18)                                             | <http://commons.wikimedia.org/wiki/Special:FilePath/Broomfield%20colorado%20interlocken%20offices.jpg> |
| Broomfield (wd:Q492819) | population (wdt:P1082)                                      | 74112 (xsd:decimal)                                                                                |
| Broomfield (wd:Q492819) | inception (wdt:P571)                                        | 2001-11-15T00:00:00Z (xsd:dateTime)                                                                    |
| Broomfield (wd:Q492819) | official name (wdt:P1448)                                   | Broomfield (en)                                                                                |
| Broomfield (wd:Q492819) | official website (wdt:P856)                                 | <https://www.broomfield.org/>                                                                          |
| ...                     | ...                                                         | ...                                                                                |

[Tool]
Got 1 row and 3 columns:
| subject              | property                                                    | object                      |
| -------------------- | ----------------------------------------------------------- | --------------------------- |
| Boulder (wd:Q192517) | located in the administrative territorial entity (wdt:P131) | Boulder County (wd:Q113029) |

[Tool]
Got 380 rows and 3 columns, showing the first 10 rows below:
| subject                     | property                                                    | object                                                                                |
| --------------------------- | ----------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------- |
| Boulder County (wd:Q113029) | instance of (wdt:P31)                                       | county of Colorado (wd:Q13410403)                                                                          |
| Boulder County (wd:Q113029) | country (wdt:P17)                                           | United States (wd:Q30)                                                                                |
| Boulder County (wd:Q113029) | located in the administrative territorial entity (wdt:P131) | Colorado (wd:Q1261)                                                                                |
| Boulder County (wd:Q113029) | coordinate location (wdt:P625)                              | POINT(-105.360000 40.090000) (geo:wktLiteral)                                                              |
| Boulder County (wd:Q113029) | Commons category (wdt:P373)                                 | Boulder County, Colorado                                                                                |
| Boulder County (wd:Q113029) | image (wdt:P18)                                             | <http://commons.wikimedia.org/wiki/Special:FilePath/Boulder%20County%20Courthouse%20%2831861249120%29.jpg> |
| Boulder County (wd:Q113029) | population (wdt:P1082)                                      | 330758 (xsd:decimal)                                                                                |
| Boulder County (wd:Q113029) | inception (wdt:P571)                                        | 1861-11-01T00:00:00Z (xsd:dateTime)                                                                        |
| Boulder County (wd:Q113029) | official website (wdt:P856)                                 | <http://www.bouldercounty.org>                                                                             |
| Boulder County (wd:Q113029) | native label (wdt:P1705)                                    | Boulder County (en)                                                                                |
| ...                         | ...                                                         | ...                                                                                |

[Tool]
Got 1 row and 3 columns:
| subject                 | property                                                    | object              |
| ----------------------- | ----------------------------------------------------------- | ------------------- |
| Broomfield (wd:Q492819) | located in the administrative territorial entity (wdt:P131) | Colorado (wd:Q1261) |

[Tool]
Got 1 row and 3 columns:
| subject                     | property                                                    | object              |
| --------------------------- | ----------------------------------------------------------- | ------------------- |
| Boulder County (wd:Q113029) | located in the administrative territorial entity (wdt:P131) | Colorado (wd:Q1261) |

[Tool]
Got 1,343 rows and 3 columns, showing the first 10 rows below:
| subject             | property                                                    | object                                                   |
| ------------------- | ----------------------------------------------------------- | -------------------------------------------------------- |
| Colorado (wd:Q1261) | instance of (wdt:P31)                                       | U.S. state (wd:Q35657)                                   |
| Colorado (wd:Q1261) | country (wdt:P17)                                           | United States (wd:Q30)                                   |
| Colorado (wd:Q1261) | located in the administrative territorial entity (wdt:P131) | United States (wd:Q30)                                   |
| Colorado (wd:Q1261) | coordinate location (wdt:P625)                              | POINT(-105.500000 39.000000) (geo:wktLiteral)            |
| Colorado (wd:Q1261) | Commons category (wdt:P373)                                 | Colorado                                                 |
| Colorado (wd:Q1261) | part of (wdt:P361)                                          | contiguous United States (wd:Q578170)                    |
| Colorado (wd:Q1261) | population (wdt:P1082)                                      | 5773714 (xsd:decimal)                                    |
| Colorado (wd:Q1261) | inception (wdt:P571)                                        | 1876-08-01T00:00:00Z (xsd:dateTime)                      |
| Colorado (wd:Q1261) | short name (wdt:P1813)                                      | CO (en)                                                  |
| Colorado (wd:Q1261) | described by source (wdt:P1343)                             | Brockhaus and Efron Encyclopedic Dictionary (wd:Q602358) |
| ...                 | ...                                                         | ...                                                      |

[Tool] Stopped generation process


PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
SELECT ( COUNT( DISTINCT ?person ) AS ?count ) WHERE {
  ?person p:P39 ?statement .
  ?statement ps:P39 wd:Q218295 ; pq:P580 ?start .
  FILTER ( YEAR( ?start ) > 1990 )
}

Got 1 row and 1 column:
| count       |
| ----------- |
| 3 (xsd:int) |

There have been 3 different presidents of Russia who took the position after 1990.

[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:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
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] How many different presidents of Russia have there been that took the position after 1990?

[Assistant]
Let's break down the question:

1. We are looking for "presidents of Russia".
2. We want to count how many different people have held this position.
3. The constraint is that they must have taken the position after 1990.

Step 1: Find the entity for "President of Russia".
Step 2: Find the property that links people to their position held (likely "position held").
Step 3: Find the property for the start time of the position.
Step 4: Filter for start time after 1990.

Let's start by searching for the entity "President of Russia".

[Tool]
Top 10 entity alternatives:
1. President of Russia, also known as President of the Russian Federation, President Rossiiskoi Federatsii, President of the Russian Soviet Federative Socialist Republic (wd:Q218295): head of state of the RSFSR (office established in 1991) and Russia
2. Presidential Administration of Russia, also known as Federal State Budgetary Enterpri...ation of the President of Russia, Kremlin, Office of the President of Russia, President Office of Russia, the Kremlin (wd:Q2060629): executive office of the President of Russia
3. Acting President of Russia (wd:Q4127082): acting head of state post in Russia's constitution
4. Executive Order of the President of Russia, also known as Ukaz of the President of Russia, Decree of the President of Russia, Ukase of the President of Russia (wd:Q2061228): Russian legal act
5. Presidential symbols of Russia (wd:Q3920601)
6. Hospital of Directorate of President of Russia, also known as Federal State Budgetary Institution United Hospital with Clinic, United Hospital with Clinic of t...ment of President Office Affairs (wd:Q30890458): hospital in Moscow
7. President of Brazil meets President of Russia (wd:Q17655540): Wikinews article
8. Russian Federation Presidential Certificate of Honour, also known as Certificate of Merit of the President of Russia, Certificate of the President of the Russian Federation (wd:Q211167): honorary award bestowed by the President of Russia
9. Heraldic Council of the President of Russia (wd:Q4135940)
10. lifespan timeline of presidents of Russia (wd:Q28155224)

[Assistant]
The correct entity for "President of Russia" is wd:Q218295.

Next, I need to find the property that links people to the position they held, likely "position held", and the property for the start time of the position. I'll search for the "position held" property first.

[Tool]
Top 10 property alternatives:
1. position held, also known as function, held position, holds position, job, office held (wd:P39 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): subject currently or formerly holds the object position or public office
2. position holder, also known as incumbent, noble title holder, office holder, position held by (wd:P1308 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): persons who hold and/or held the position
3. position played on team / speciality, also known as position (on team), speciality, specialism, position, player position (wd:P413 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): position or specialism of a player on a team
4. expression, gesture or body pose, also known as action, expression, facial expression, gesture, movement (wd:P6022 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): qualifier on "depicts" (P180) for human position of an individual in an artwork
5. ranking, also known as peak position, place, placing, position, rank (wd:P1352 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): subject's ordinal position as qualitatively evaluated relative to other members of a group
6. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
7. term length of position, also known as term length, time in position, term of position, position term, length of term (wd:P2097 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): length of time in years (unit: Q577) a person (usually a politician) is to serve in a particular position. Do not add bounds., duration
8. office contested, also known as contested office, contested position, position contested (wd:P541 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): title of office which election will determine the next holder of
9. position held by head of the organization, also known as position held by head of the organisation, secretary's position, president's position, position held by head of the organization, office held by head of the organisation (wd:P2388 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): position of the head of this item
10. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object

[Assistant]
The property "position held" is wd:P39. This is the property that links people to the positions they have held, such as "President of Russia".

Next, I need to find the property for the start time of the position, so I can filter for those who started after 1990. I'll search for "start time".

[Tool]
Top 10 property alternatives:
1. start time, also known as start date, since, valid, join time, joined (wd:P580 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): time an entity begins to exist or a statement starts being valid, point in time
2. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
3. work period (start), also known as start working, flourished (start), start time for work, start date of activity, fl. (start) (wd:P2031 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): start of period during which a person or group flourished (fl. = "floruit") in their professional activity, start time, floruit
4. earliest date, also known as no earlier than, terminus post quem, start date (earliest), on or after this date, minimum date (wd:P1319 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): earliest date at which an event could have happened. Use as qualifier for other date properties
5. UTC date of spacecraft launch, also known as time of spacecraft launch, spacecraft launch time, spacecraft launch date, launch time, launch date (wd:P619 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): date of spacecraft launch in UTC
6. refine date, also known as date refinement, exact time, hour, local time, quarter (wd:P4241 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): qualifier to narrow down the precision of a date not fully specified by the Wikidata time datatype precision field
7. point in time, also known as at time, as of, year, when, time of event (wd:P585 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
8. genomic start, also known as start coordinate, genomic from, Genloc From, from, Genloc Start (wd:P644 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): genomic starting coordinate of the biological sequence (e.g. a gene)
9. start point, also known as start location, launch pad, launch site, starting place, starting point (wd:P1427 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): starting place of this journey, flight, voyage, trek, migration etc., source of transfer, location
10. opening time, also known as hour opens, opens at, opening hour, open hour (wd:P8626 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): time when an establishment or attraction opens, qualifier for P3025

[Assistant]
The property "start time" is wd:P580. This is typically used as a qualifier on the "position held" property to indicate when the person started holding the position.

Now, I will construct a SPARQL query to:
- Find all people who held the position "President of Russia" (wd:Q218295)
- Get the start time (wd:P580) of their term
- Filter for start time after 1990
- Count the number of distinct people

I'll include optional labels for clarity. Let's build and execute this query.

[Tool]
Got 1 row and 1 column:
| count       |
| ----------- |
| 3 (xsd:int) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ( COUNT( DISTINCT ?work ) AS ?count ) WHERE {
  ?work wdt:P50 wd:Q7245 .
  ?work wdt:P31 ?type .
  ?type wdt:P279 * wd:Q7725634 .
}

Got 1 row and 1 column:
| count        |
| ------------ |
| 74 (xsd:int) |

Mark Twain wrote 74 literary works in his lifetime, according to Wikidata.

[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:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
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] How many literary works did Mark Twain write in his lifetime?

[Assistant]
Let's break down the question:

1. We need to identify the entity for "Mark Twain".
2. We need to identify what counts as a "literary work" in Wikidata (likely "written work" or "literary work" as an instance or subclass).
3. We need to find the property that links Mark Twain to works he authored (likely "author" or "creator").
4. We need to count the number of such works.

First, I'll search for the entity "Mark Twain" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Mark Twain, also known as Samuel L. Clemens, Samuel Langhorne Clemens, Quintus Curtius Snodgrass, Samuel Clemens (wd:Q7245): American author and humorist (1835–1910), science fiction writer, opinion journalist, children's writer, autobiographer, travel writer, prose writer, journalist, humorist, novelist, aphorist, teacher, writer
2. 2362 Mark Twain, also known as Mark Twain (wd:Q959983): asteroid
3. Mark Twain (wd:Q6770075): crater on Mercury
4. Mark Twain (wd:Q6770076): 2001 documentary film on the life of Mark Twain directed by Ken Burns
5. Mark Twain (wd:Q66716403): 1873 article in Cartoon portraits and biographical sketches of men of the day
6. Mark Twain, also known as Mark Twain, St. Louis (wd:Q6770071): neighborhood of St. Louis, Missouri, United States
7. Rosa 'Mark Twain', also known as Mark Twain (wd:Q83668756): rose cultivar
8. Mark Twain (wd:Q116958637): bronze sculpture by unidentified artist
9. Mark Twain (wd:Q20174185): painting by Charles Noel Flagg
10. Mark Twain (wd:Q79493007): print by Samuel Johnson Woolf (American, 1880-1948) (1920.11)

[Assistant]
The correct entity for Mark Twain the author is wd:Q7245.

Next, I need to identify the property that links an author to their works. This is likely "author" or "creator". I will search for properties related to "author".

[Tool]
Top 10 property alternatives:
1. theorized by, also known as author, supported by, suggested by, proposer, proposed by (wd:P8403 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): subject who suggested or proposed this concept or immaterial invention
2. lyricist, also known as text poet, writer (of song lyrics), words by, text writer, text by (wd:P676 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): author of song lyrics, author
3. author, also known as writer, written by, poet, playwright, maker (wd:P50 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): main creator(s) of a written work (use on works, not humans); us...hor name string) when Wikidata item is unknown or does not exist, creator
4. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): notable scientific, artistic or literary work, or other work of significance among subject's works
5. author given names, also known as given name, given names, first name, author first names, author first name (wd:P9687 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): qualifier for string representation of given or secondary sortin...presented in a bibliographic reference file (for example BibTeX), given name
6. used by, also known as armiger, user, played by, of (wd:P1535 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): item or concept that makes use of the subject (use sub-properties when appropriate)
7. operator, also known as offered by, operated by, provided by, run by, service operator (wd:P137 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): person, profession, organization or entity that operates the equipment, facility, or service, used by
8. creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): maker of this creative work or other object (where no more specific property exists)
9. author last names, also known as author last name, surnames, surname, last names, last name (wd:P9688 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): qualifier to provide string representation of family or primary ...presented in a bibliographic reference file (for example BibTeX), family name
10. object named as, also known as original wording, place name string, printed as, reference wording, [sic] (wd:P1932 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): use as qualifier to indicate how the object's value was given in the source, name

[Assistant]
The property "author" (wd:P50) is the main creator(s) of a written work and is used on works, not humans. To find all works authored by Mark Twain, I should look for items where wdt:P50 is wd:Q7245.

Next, I need to ensure that I only count "literary works." I should check what class or instance is used for literary works in Wikidata. I'll search for the entity "literary work".

[Tool]
Top 10 entity alternatives:
1. literary work, also known as work in literature, work (literature), work (literary), literary text (wd:Q7725634): written work read for enjoyment or edification
2. DARK HORSE by Michèle Betty, also known as Literary work (wd:Q125465635): Book by Michèle Betty
3. Dura-Europos archival photograph of back of P. CtYBR inv. DP 111, also known as Literary work (wd:Q119126424): archival photograph of back of p. ctybr inv. dp 111 from dura-europos
4. Dura-Europos archival photograph of front of P. CtYBR inv. DP 92, also known as Literary work (wd:Q119126432): archival photograph of front of p. ctybr inv. dp 92 from dura-europos
5. Dura-Europos archival photograph of front of P. CtYBR inv. DP 89, also known as Literary work (wd:Q119126448): archival photograph of front of p. ctybr inv. dp 89 from dura-europos
6. Dura-Europos archival photograph of front of P. CtYBR inv. DP 87, also known as Literary work (wd:Q119126454): archival photograph of front of p. ctybr inv. dp 87 from dura-europos
7. Dura-Europos archival photograph of front of P. CtYBR inv. DP 64, also known as Literary work (wd:Q119126503): archival photograph of front of p. ctybr inv. dp 64 from dura-europos
8. Dura-Europos archival photograph of back of P. CtYBR inv. DP 64, also known as Literary work (wd:Q119126501): archival photograph of back of p. ctybr inv. dp 64 from dura-europos
9. Dura-Europos archival photograph of back of P. CtYBR inv. DP 44, also known as Literary work (wd:Q119126531): archival photograph of back of p. ctybr inv. dp 44 from dura-europos
10. Dura-Europos archival photograph of back of P. CtYBR inv. DP 92, also known as Literary work (wd:Q119126431): archival photograph of back of p. ctybr inv. dp 92 from dura-europos

[Assistant]
The main entity for "literary work" is wd:Q7725634.

To count the number of literary works authored by Mark Twain, I should look for items where:
- wdt:P50 (author) is wd:Q7245 (Mark Twain)
- The item is an instance of (wdt:P31) or subclass of (wdt:P279) "literary work" (wd:Q7725634)

However, sometimes works are instances of subclasses of "literary work" (e.g., "novel", "short story"). To be thorough, I should include all items that are instances of "literary work" or its subclasses.

I will now construct a SPARQL query that counts the number of items where:
- ?work wdt:P50 wd:Q7245
- ?work wdt:P31 ?type
- ?type wdt:P279* wd:Q7725634

Let's execute this query.

[Tool]
Got 1 row and 1 column:
| count        |
| ------------ |
| 74 (xsd:int) |

[Tool] Stopped generation process