PREFIX p: <http://www.wikidata.org/prop/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?statement ?start ?end WHERE {
  wd:Q1422 p:P488 ?statement .
  ?statement ps:P488 wd:Q2870115 .
  OPTIONAL {
    ?statement pq:P580 ?start
  }
  OPTIONAL {
    ?statement pq:P582 ?end
  }
}

Attilio Ubertalli was chairman of Juventus F.C. from 1911 to 1912.

[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] When was Juventus F.C. a chairman of Atillo Ubertalli?

[Assistant]
Let's break down the question:

- "Juventus F.C." is a football club.
- "Atillo Ubertalli" is a person, likely a chairman of Juventus F.C.
- The question is asking for the time period when Atillo Ubertalli was chairman of Juventus F.C.

First, I need to verify the correct entities for "Juventus F.C." and "Atillo Ubertalli" in Wikidata. Then, I need to find the property that links a person as chairman (or similar leadership role) to an organization, and find the time period for that role.

Let's start by searching for "Juventus F.C." in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Juventus FC, also known as Juventus Turin, Juventus of Turin, JuventusFootballClub, Juventus Football Club, JuventusFC (wd:Q1422): association football club in Turin, Italy
2. Juventus F.C. Women, also known as Juve, Juventus Femminile, Juventus Football Club, Juventus Women, JWFC (wd:Q17621653): women's association football club from Italy
3. Juventus F.C. Next Gen, also known as Juventus B, Juventus F.C. Under-23, Juventus II, Juventus Next Gen, Juventus U23 (wd:Q56025745): Juventus F.C.'s association football reserve team
4. history of Juventus F.C., also known as Juventus F.C. history (wd:Q457473): aspect of history
5. 2011–12 Juventus F.C. season (wd:Q2170517): season of football team
6. 2019–20 Juventus F.C. season (wd:Q63611113): season of football team
7. 2018–19 Juventus F.C. season (wd:Q54087335): season of football team
8. 2017–18 Juventus F.C. season (wd:Q30643579): season of football team
9. 2015–16 Juventus F.C. season (wd:Q20647535): season of football team
10. 2016–17 Juventus F.C. season (wd:Q24067010): season of football team

[Assistant]
The correct entity for Juventus F.C. is wd:Q1422.

Next, let's search for "Atillo Ubertalli" to find the correct entity for this person.

[Tool]
Top 10 entity alternatives:
1. Ubertalli, also known as Ubertalli (family name), Ubertalli (surname) (wd:Q99981988): family name
2. Romolo Ubertalli (wd:Q26763768): UBERTALLI, Romolo (1871 - 1928), Painter, pastellist, pastellist, painter
3. Attilio Ubertalli (wd:Q2870115)
4. Héctor Ubertalli, also known as Hector Ubertalli (wd:Q5906458): Argentine-American painter (1928-1990), sculptor, painter
5. Ruggero Ubertalli (wd:Q93809744): Italian equestrian, equestrian
6. Pristimantis atillo (wd:Q95504820)
7. Laguna Atillo (wd:Q23885537): lake in Ecuador
8. Graziano Ubertalli, also known as G. UBERTALLI (wd:Q60257283): researcher ORCID ID = 0000-0002-4628-7639, researcher
9. Cortijo Atillo Bajos (wd:Q97623757)
10. Jorge Luis Ubertalli (wd:Q95225510): journalist, writer, poet

[Assistant]
The correct entity for Attilio Ubertalli is wd:Q2870115.

Now, I need to find the property that links a person (Attilio Ubertalli) to their position as chairman (or president) of Juventus F.C., and the time period for that role. Let's search for properties related to "chairman" or "president" for Juventus F.C.

[Tool]
Top 10 property alternatives:
1. chairperson, also known as dean, headed by, leader, president, chairwoman (wd:P488 as p/wdt): presiding member of an organization, group or body, director / manager, significant person
2. head coach, also known as team manager, trainer, senior coach, manager, coached by (wd:P286 as p/wdt): on-field manager or head coach of a sports club (not to be confu...eneral manager P505, which is not a coaching position) or person
3. owned by, also known as belongs to, stockholders, stockholder, shareholders, shareholder (wd:P127 as p/wdt): owner of the subject
4. headquarters location, also known as headquarters locality, seat, headquarters town, HQ, HQ location (wd:P159 as p/wdt): city or town where an organization's headquarters is or has been situated. Use P276 qualifier for specific building, significant place
5. founded by, also known as starter, co-founded by, started by, institutor, instituted by (wd:P112 as p/wdt): founder or co-founder of this organization, religion, place or entity, creator
6. logo image, also known as masthead, wordmark, trademark, trade mark, sign (wd:P154 as p/wdt): graphic mark or emblem commonly used by commercial enterprises, organizations and products, icon
7. has subsidiary, also known as subordinate body, subsidiary body, subordinate unit, subsidiary, subsidiary company (wd:P355 as p/wdt): subsidiary of a company or organization; generally a fully owned...siness division" (P199). Opposite of parent organization (P749)., has part(s), owner of
8. owner of, also known as owns, owns property, shareholder of (wd:P1830 as p/wdt): entities owned by the subject
9. sponsor, also known as benefactor, endorsed by, patron, sponsored by (wd:P859 as p/wdt): organization or individual that sponsors this item
10. 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

No other items found

[Assistant]
The relevant property for "chairman" or "president" is "chairperson" (wd:P488).

Now, I need to check if Attilio Ubertalli (wd:Q2870115) is listed as a chairperson of Juventus F.C. (wd:Q1422), and if so, retrieve the time period (start and end dates) for this role. Typically, qualifiers like "start time" (P580) and "end time" (P582) are used for such roles.

Let's list the triples where Juventus F.C. (wd:Q1422) has a chairperson, to see how Attilio Ubertalli is represented and what qualifiers are available.

[Tool]
Got 1 row and 3 columns:
| subject                | property               | object                           |
| ---------------------- | ---------------------- | -------------------------------- |
| Juventus FC (wd:Q1422) | chairperson (wdt:P488) | Gianluca Ferrero (wd:Q116178537) |

[Assistant]
It appears that the direct property wdt:P488 (chairperson) for Juventus F.C. only lists the current chairperson, Gianluca Ferrero, and does not include historical chairpersons like Attilio Ubertalli.

However, Wikidata often stores historical positions as statements with qualifiers (using the "p:" namespace rather than "wdt:"). To retrieve historical chairpersons and their time periods, I need to query the full statement (not just the direct property) and look for Attilio Ubertalli as a value, along with any start/end time qualifiers.

I will construct a SPARQL query to find statements where Juventus F.C. (wd:Q1422) had Attilio Ubertalli (wd:Q2870115) as chairperson (P488), and retrieve the start and end times (P580, P582) if available.

[Tool]
Got 1 row and 3 columns:
| statement                                    | start                               | end                                 |
| -------------------------------------------- | ----------------------------------- | ----------------------------------- |
| s:Q1422-9eff0acd-41f0-50c5-464a-3e8f70c84539 | 1911-01-01T00:00:00Z (xsd:dateTime) | 1912-01-01T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the time period during which Attilio Ubertalli was chairman of Juventus F.C. by querying for the chairperson statements on Juventus F.C. and extracting the start and end times. The answer provided matches the query result, and the query returns the relevant identifiers and time values. No further refinement is needed.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?building ?label WHERE {
  ?building wdt:P31 wd:Q41176 .
  ?building wdt:P131 wd:Q37836 .
  OPTIONAL {
    ?building rdfs:label ?label FILTER ( lang( ?label ) = "en" )
  }
}
LIMIT 5

Got 5 rows and 2 columns:
| building                                             | label                                      |
| ---------------------------------------------------- | ------------------------------------------ |
| Northwestern Mutual Tower and Commons (wd:Q16978537) | Northwestern Mutual Tower and Commons (en) |
| The Couture (wd:Q19866327)                           | The Couture (en)                           |
| Pettit National Ice Center (wd:Q253335)              | Pettit National Ice Center (en)            |
| Lohman Funeral Home and Livery Stable (wd:Q6668014)  | Lohman Funeral Home and Livery Stable (en) |
| BMO Harris Financial Center (wd:Q85744608)           | BMO Harris Financial Center (en)           |

One example of a building in Milwaukee is the Northwestern Mutual Tower and Commons (wd:Q16978537).

[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] Name a building in Milwaukee.

[Assistant]
Let's break down the question:

1. The user wants the name of a building located in Milwaukee.
2. I need to identify the entity for "Milwaukee" and the property that links buildings to their location.
3. I also need to ensure I use the correct class for "building".

First, I'll search for the entity representing "Milwaukee".

[Tool]
Top 10 entity alternatives:
1. Milwaukee, also known as Milwaükee, Milwaukee City, Wisconsin, Milwaukee, WI, Milwaukee, Wisconsin (wd:Q37836): city in and county seat of Milwaukee County, Wisconsin, United States
2. University of Wisconsin–Milwaukee, also known as uwm.edu, Wisconsin-Milwaukee, UW–Milwaukee, UW-Milwaukee, UW Milwaukee (wd:Q1755318): university in Milwaukee
3. Milwaukee, also known as Milwaukee, NC, Milwaukee, North Carolina (wd:Q6861638): unincorporated community in Northampton County, North Carolina
4. Milwaukee, also known as Milwaukee, Pennsylvania, Milwaukee, PA (wd:Q6861641): unincorporated community in Lackawanna County, Pennsylvania
5. Milwaukee, also known as Milwaukee (town), Wisconsin, Milwaukee, WI, Milwaukee, Wisconsin, Town of Milwaukee (wd:Q6861655): former civil town in Milwaukee County, Wisconsin, United States
6. Milwaukee (wd:Q6861654): public artwork by artist George Mossman Greenamyer
7. Milwaukee (wd:Q28452160): album by Elliott Murphy
8. Milwaukee (wd:Q103911932): shipwreck off the Scottish coast
9. Milwaukee (wd:Q114493477): episode of Drinking Made Easy (S1 E13)
10. Milwaukee (wd:L479310-F1)

[Assistant]
The most relevant entity for Milwaukee, Wisconsin (the city) is wd:Q37836.

Next, I need to find the property that links a building to its location (likely "located in the administrative territorial entity") and the class for "building".

I'll search for the property "location" to confirm the correct property.

[Tool]
Top 10 property alternatives:
1. work location, also known as work place, working from, working at, worked from, worked at (wd:P937 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): location where persons or organisations were actively participating in employment, business or other work, significant place, location
2. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
3. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
4. occupant, also known as tenant, resident, renter, occupiers, lessee (wd:P466 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): person or organization occupying property, used by
5. recorded at studio or venue, also known as venue, studio, recording venue, recording studio, recorded at event (wd:P483 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): studio or location where a musical composition/release was recorded, recording location
6. home venue, also known as home water, venue, stadium, home ground, home field (wd:P115 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): home stadium or venue of a sports team or applicable performing arts organization, location
7. published in, also known as song on album, tome of the book, tome of, track of, track on (wd:P1433 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): larger work that a given work was published in, like a book, journal or music album, part of
8. located in the present-day administrative territorial entity, also known as present-day administrative territorial entity, located in the current administrative territorial entity, located in the modern-day administrative territorial entity, located in the present-day administrative territorial entity, would today be located in administrative territorial entity (wd:P3842 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): the item was located in the territory of this present-day administrative unit; however the two did not at any point coexist in time, location, part of
9. directions, also known as locality or place (wd:P2795 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): describe how to find the subject - directions, objects along way, comments
10. ranking, also known as peak position, place, placing, position, rank (wd:P1352 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): subject's ordinal position as qualitatively evaluated relative to other members of a group

[Assistant]
The most relevant property for a building's location is "location" (wd:P276).

Now, I need to confirm the class for "building". I'll search for the entity "building".

[Tool]
Top 10 entity alternatives:
1. building, also known as edifice, buildings (wd:Q41176): structure, typically with a roof and walls, standing more or less permanently in one place
2. construction, also known as building (wd:Q3875186): process of the building or assembling of a building or infrastructure
3. construction, also known as building (wd:Q3875186): process of the building or assembling of a building or infrastructure
4. software build, also known as build, building, build process, software building, software build process (wd:Q1362142): complete process of converting source code into software artifacts
5. Tits building, also known as building, Bruhat–Tits building, Bruhat-Tits building (wd:Q4986445): mathematical structure
6. Building, also known as The Builder (wd:Q4986440): British magazine
7. National Academy of Sciences building, also known as Building (wd:Q20745344): administrative building in Washington, D.C., United States of America
8. The Building, also known as Building (wd:Q14442565): 1999 film by Việt Linh
9. construction, also known as ISIC F, NACE F, construction work, building construction, building (wd:Q385378): economic activity that consists of the building or assembling of a building or infrastructure
10. CS Building Vânju Mare, also known as Building, CS Building Vanju Mare (wd:Q5014451): football club

[Assistant]
The correct class for "building" is wd:Q41176.

Now, I can construct a SPARQL query to find an entity that:
- is an instance of (wdt:P31) building (wd:Q41176)
- has location (wdt:P276) Milwaukee (wd:Q37836)

I'll also try to return the label of the building (optionally) for readability.

[Tool] Got no rows and 2 columns

[Assistant]
It appears that there are no direct matches for entities that are both an instance of "building" and have their location set directly to "Milwaukee" using wdt:P276.

However, sometimes buildings are linked to cities via "located in the administrative territorial entity" (wdt:P131) instead of "location" (wdt:P276). I will search for the property "located in the administrative territorial entity" to confirm its use, then try that property in the query.

[Tool]
Top 10 property alternatives:
1. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
2. contains the administrative territorial entity, also known as has shires, has rural cities, has regions, has municipalities, has members (wd:P150 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): (list of) direct subdivisions of an administrative territorial entity, has part(s)
3. located in the present-day administrative territorial entity, also known as present-day administrative territorial entity, located in the current administrative territorial entity, located in the modern-day administrative territorial entity, located in the present-day administrative territorial entity, would today be located in administrative territorial entity (wd:P3842 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): the item was located in the territory of this present-day administrative unit; however the two did not at any point coexist in time, location, part of
4. located in the statistical territorial entity, also known as located in statistical territorial entity, statistical territorial entity (wd:P8138 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): statistical territorial entity in which a place is located or is...nty is split into or part of several regions: add several values, location
5. territory overlaps, also known as partially overlaps, partially coincident with, partly coincident with, partly located in territorial entity, partly overlaps (wd:P3179 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): part or all of the area associated with (this) entity overlaps part or all of the area associated with that entity, partially coincident with
6. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
7. capital, also known as administrative seat, seat of government, seat, principal place, location of capital (wd:P36 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): seat of government of a country, province, state or other type of administrative territorial entity
8. located in the religious territorial entity, also known as Deanery, Vicariate, religious territorial entity, Parish, located in the ecclesiastical territorial entity (wd:P5607 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): the item is located on the territory of the following religious entity. Use P708 (diocese) for dioceses, location, part of
9. capital of, also known as national capital of, parish seat of, provincial capital of, seat of, state capital (wd:P1376 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): country, state, department, canton or other administrative division of which the municipality is the governmental seat, located in the administrative territorial entity
10. contains the statistical territorial entity, also known as contains statistical territorial entity (wd:P10888 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): (list of) statistical territorial entities which are direct subd...ions of another statistical or administrative territorial entity, has part(s)

[Assistant]
The property "located in the administrative territorial entity" (wdt:P131) is commonly used to link buildings to cities.

I'll now modify the query to use wdt:P131 instead of wdt:P276 and try again.

[Tool]
Got 5 rows and 2 columns:
| building                                             | label                                      |
| ---------------------------------------------------- | ------------------------------------------ |
| Northwestern Mutual Tower and Commons (wd:Q16978537) | Northwestern Mutual Tower and Commons (en) |
| The Couture (wd:Q19866327)                           | The Couture (en)                           |
| Pettit National Ice Center (wd:Q253335)              | Pettit National Ice Center (en)            |
| Lohman Funeral Home and Livery Stable (wd:Q6668014)  | Lohman Funeral Home and Livery Stable (en) |
| BMO Harris Financial Center (wd:Q85744608)           | BMO Harris Financial Center (en)           |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves buildings (wd:Q41176) located in Milwaukee (wd:Q37836), returning their IRIs and optionally their English labels. The answer provides a valid example from the result. The query follows all guidelines, including returning IRIs and using optional labels. No further refinement is necessary.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?subspecies ?subspeciesLabel ?scientificName ?taxonRank WHERE {
  ?subspecies wdt:P105 wd:Q68947 .
  OPTIONAL {
    ?subspecies rdfs:label ?subspeciesLabel FILTER ( LANG( ?subspeciesLabel ) = "en" )
  }
  OPTIONAL {
    ?subspecies wdt:P225 ?scientificName
  }
  OPTIONAL {
    ?subspecies wdt:P105 ?taxonRank
  }
}
LIMIT 50

Got 50 rows and 4 columns, showing the first 5 and last 5 rows below:
| subspecies                                                   | subspeciesLabel                                   | scientificName                               | taxonRank              |
| ------------------------------------------------------------ | ------------------------------------------------- | -------------------------------------------- | ---------------------- |
| Mauremys sinensis changwui (wd:Q100151438)                   | Mauremys sinensis changwui (en)                   | Mauremys sinensis changwui                   | subspecies (wd:Q68947) |
| Lymantria mathura subpallida (wd:Q100151841)                 | Lymantria mathura subpallida (en)                 | Lymantria mathura subpallida                 | subspecies (wd:Q68947) |
| Viola odorata subsp. stolonifera (wd:Q100250638)             | Viola odorata subsp. stolonifera (en)             | Viola odorata subsp. stolonifera             | subspecies (wd:Q68947) |
| Taiwan Mammoth (wd:Q100254220)                               | Taiwan Mammoth (en)                               | Mammuthus armeniacus taiwanicus              | subspecies (wd:Q68947) |
| Homo sapiens cognatus (wd:Q100272624)                        | Homo sapiens cognatus (en)                        | Homo sapiens cognatus                        | subspecies (wd:Q68947) |
| ...                                                          | ...                                               | ...                                          | ...                    |
| Allium scorodoprasum subsp. scorodoprasum (wd:Q100442984)    | Allium scorodoprasum subsp. scorodoprasum (en)    | Allium scorodoprasum subsp. scorodoprasum    | subspecies (wd:Q68947) |
| Allocasuarina campestris subsp. campestris (wd:Q100443011)   | Allocasuarina campestris subsp. campestris (en)   | Allocasuarina campestris subsp. campestris   | subspecies (wd:Q68947) |
| Allocasuarina mackliniana subsp. mackliniana (wd:Q100443034) | Allocasuarina mackliniana subsp. mackliniana (en) | Allocasuarina mackliniana subsp. mackliniana | subspecies (wd:Q68947) |
| Alopecurus pratensis subsp. pratensis (wd:Q100443083)        | Alopecurus pratensis subsp. pratensis (en)        | Alopecurus pratensis subsp. pratensis        | subspecies (wd:Q68947) |
| Alstonia spectabilis subsp. spectabilis (wd:Q100443285)      | Alstonia spectabilis subsp. spectabilis (en)      | Alstonia spectabilis subsp. spectabilis      | subspecies (wd:Q68947) |

The taxon rank of each subspecies is 'subspecies'. The query above lists examples of subspecies, their scientific names, and confirms their taxon rank as 'subspecies' (wd:Q68947).

[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 taxon rate of each subspecies?

[Assistant]
Let's break down the question:

1. The user is asking about the "taxon rate" of each subspecies.
2. "Taxon rate" is not a standard biological term. It could refer to a property such as conservation status, population, or taxonomic rank, but it's ambiguous.
3. "Subspecies" is a taxonomic rank below species.

First, I need to clarify what "taxon rate" could mean in Wikidata. I'll search for properties related to "taxon rate" to see if there is a matching property.

I'll start by searching for properties related to "taxon rate".

[Tool]
Top 10 property alternatives:
1. taxon rank, also known as taxonomic rank, type of taxon, rank (wd:P105 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): level in a taxonomic hierarchy, instance of
2. individual of taxon, also known as is individual of the taxon, taxon of the item, taxon of subject, taxon of item, species of this individual (wd:P10241 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): the taxon of an individual named organism (animal, plant), instance of
3. year of publication of scientific name for taxon, also known as taxon year, year of scientific description, taxon date, described in, date of taxon description publication (wd:P574 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): year when this taxon was formally described (for animals); year when this taxon name was formally established (for plants), publication date
4. taxon name, also known as correct name (ICNafp), Latin name of a taxon (deprecated), scientific name of a taxon, taxonomic name, valid name (ICZN) (wd:P225 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): correct scientific name of a taxon (according to the reference given)
5. found in taxon, also known as present in taxon, found in species (wd:P703 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): the taxon in which the item can be found, part of
6. natural product of taxon, also known as produced by taxon, product of taxon, made from, fruit of (taxon), derived from (wd:P1582 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): links a natural product with its source (animal, plant, fungal, algal, etc.)
7. throughput, also known as capacity, rate (wd:P2957 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): volume of units that do or can pass through or be transported by the object
8. taxon common name, also known as common name, taxon vernacular name, TCN, vernacular name (wd:P1843 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): common or vernacular name of a biological taxon, name
9. taxon author, also known as author citation, taxon authority, described by (wd:P405 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): the author(s) that (optionally) may be cited with the scientific name
10. taxon found at location, also known as taxa found at location, taxon present in location, taxa present in location (wd:P6803 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): plant or animals taxon described as present in location, not cou...Ref should cover a limited number of taxa for specific location.

[Assistant]
The search for "taxon rate" did not return a property that directly matches this term. The closest relevant properties are:

- taxon rank (wd:P105): the level in a taxonomic hierarchy (e.g., species, subspecies, genus, etc.)
- year of publication of scientific name for taxon (wd:P574): the year when the taxon was formally described
- throughput, also known as capacity, rate (wd:P2957): but this is not related to taxonomy

Given the context, it is likely the user meant "taxon rank" (i.e., the rank of each subspecies), or possibly some property of subspecies such as population or conservation status. However, since the user asked for "each subspecies," I will assume they want to see the taxon rank for all entities classified as subspecies.

Next, I will:
1. Identify the entity for "subspecies" in Wikidata.
2. Write a query to list all taxa with the rank "subspecies" and show their taxon rank.

First, I'll search for the entity "subspecies" to get its Wikidata ID.

[Tool]
Top 10 entity alternatives:
1. subspecies, also known as subsp., ssp. (wd:Q68947): taxonomic rank subordinate to species.Subspecies differentiate closely related organisms within a single species
2. Subspecies (wd:Q3976539): 1991 film directed by Ted Nicolaou
3. Subspecies (wd:Q3976538): Romanian-American horror film series
4. subspecies (wd:Q123294508): US patent 11473052
5. Subspecies (wd:Q94996144): scientific article published in 1946
6. SUBSPECIES (wd:Q100408630): scientific article published in 1942
7. subspecies (wd:L328723-F2)
8. subspecies (wd:L328723-F1)
9. subspecies (wd:L328723)
10. subspecies (wd:L1413609-S1)

[Assistant]
The correct entity for the taxonomic rank "subspecies" is wd:Q68947.

Now, I need to find all taxa whose taxon rank (wdt:P105) is "subspecies" (wd:Q68947), and for each, show their taxon rank (which will be "subspecies" for all, but I'll include it for completeness).

To make the results more informative, I will also try to include the scientific name (wdt:P225) and optionally the label.

Here's the plan for the SPARQL query:
- Find all items where wdt:P105 (taxon rank) = wd:Q68947 (subspecies)
- Return the item, its scientific name (wdt:P225), and its taxon rank

Let's construct and execute this query.

[Tool]
Got 50 rows and 4 columns, showing the first 5 and last 5 rows below:
| subspecies                                                   | subspeciesLabel                                   | scientificName                               | taxonRank              |
| ------------------------------------------------------------ | ------------------------------------------------- | -------------------------------------------- | ---------------------- |
| Mauremys sinensis changwui (wd:Q100151438)                   | Mauremys sinensis changwui (en)                   | Mauremys sinensis changwui                   | subspecies (wd:Q68947) |
| Lymantria mathura subpallida (wd:Q100151841)                 | Lymantria mathura subpallida (en)                 | Lymantria mathura subpallida                 | subspecies (wd:Q68947) |
| Viola odorata subsp. stolonifera (wd:Q100250638)             | Viola odorata subsp. stolonifera (en)             | Viola odorata subsp. stolonifera             | subspecies (wd:Q68947) |
| Taiwan Mammoth (wd:Q100254220)                               | Taiwan Mammoth (en)                               | Mammuthus armeniacus taiwanicus              | subspecies (wd:Q68947) |
| Homo sapiens cognatus (wd:Q100272624)                        | Homo sapiens cognatus (en)                        | Homo sapiens cognatus                        | subspecies (wd:Q68947) |
| ...                                                          | ...                                               | ...                                          | ...                    |
| Allium scorodoprasum subsp. scorodoprasum (wd:Q100442984)    | Allium scorodoprasum subsp. scorodoprasum (en)    | Allium scorodoprasum subsp. scorodoprasum    | subspecies (wd:Q68947) |
| Allocasuarina campestris subsp. campestris (wd:Q100443011)   | Allocasuarina campestris subsp. campestris (en)   | Allocasuarina campestris subsp. campestris   | subspecies (wd:Q68947) |
| Allocasuarina mackliniana subsp. mackliniana (wd:Q100443034) | Allocasuarina mackliniana subsp. mackliniana (en) | Allocasuarina mackliniana subsp. mackliniana | subspecies (wd:Q68947) |
| Alopecurus pratensis subsp. pratensis (wd:Q100443083)        | Alopecurus pratensis subsp. pratensis (en)        | Alopecurus pratensis subsp. pratensis        | subspecies (wd:Q68947) |
| Alstonia spectabilis subsp. spectabilis (wd:Q100443285)      | Alstonia spectabilis subsp. spectabilis (en)      | Alstonia spectabilis subsp. spectabilis      | subspecies (wd:Q68947) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves subspecies (using wdt:P105 wd:Q68947), their IRIs, optional English labels, scientific names, and confirms their taxon rank as 'subspecies'. The query returns the required identifiers and follows the rules for SPARQL queries. The answer is accurate and complete for the user's question.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?cosingNumber WHERE {
  wd:Q159683 wdt:P3073 ?cosingNumber
}

Got 1 row and 1 column:
| cosingNumber |
| ------------ |
| 32858        |

The CosIng number of citric acid is 32858.

[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  in the  CosIng number of citric acid ?

[Assistant]
Let's break down the question:

- The user is asking for the "CosIng number" of "citric acid".
- "CosIng" refers to the European Commission database for cosmetic substances and ingredients, where each ingredient has a unique CosIng number.
- "Citric acid" is the ingredient in question.

First, I need to identify the Wikidata entity for "citric acid". Then, I need to find if there is a property in Wikidata that corresponds to the "CosIng number".

Step 1: Search for the entity "citric acid" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. citric acid, also known as 2-hydroxytricarballylic acid, H3cit, E330, E 330, anhydrous citric acid (wd:Q159683): weak organic acid
2. [Citric acid] (wd:Q81221608): scientific article published on 01 November 2004
3. [Citric acid] (wd:Q73034405): scientific article published on 01 August 1999
4. [Citric acid] (wd:Q71387172): scientific article published on 01 February 1995
5. citric acid (wd:L305861-S1)
6. citric acid (wd:L493448-S1)
7. tricarboxylic acid cycle, also known as citric acid cycle, GO:0006099, Krebs cycle, TCA cycle (wd:Q133895): metabolic pathway
8. citric acid acetate (wd:Q27276582): chemical compound
9. Citric acid-2,4-13C2 (wd:Q82327938): chemical compound
10. Citric acid-1,5-13C2 (wd:Q82253610): chemical compound

[Assistant]
The most relevant entity for "citric acid" is wd:Q159683, which is the chemical compound itself.

Next, I need to find if there is a property in Wikidata that corresponds to the "CosIng number". I will search for properties related to "CosIng".

[Tool]
Top 10 property alternatives:
1. CosIng number (wd:P3073 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): Number for a chemical substance in the European CosIng database
2. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
3. produces cohesive end (wd:P4914 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): overhang DNA sequence generated by restriction enzyme, written from 5' to 3'
4. hairstyle / hairlength, also known as hair style, style of hair, hair styling, hairdo, haircut (wd:P8839 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): style or length of cutting, arranging, or combing the hair on the subject's scalp
5. flattening, also known as ellipticity, oblateness (wd:P1102 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): measure of the compression of an ellipsoid of revolution
6. inker, also known as embellisher (wd:P10836 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): comics artist responsible for outlining, interpreting, finalizing, and retracing a drawing by using a pencil, pen or a brush, illustrator
7. vessel, also known as spacecraft, vessel, vehicle used, vehicle, uses vehicle (wd:P1876 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): vessel involved in this mission, navigation or event
8. occupation, also known as job, work, vocation, profession, employment (wd:P106 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
9. has pattern, also known as pattern, has decorative pattern, decorated with, motif (wd:P5422 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): pattern, design, or motif intrinsic to, incorporated into, or applied to the surface of the subject
10. fabrication method, also known as process used, method of cooking, preparation method, obtained by, method used (wd:P2079 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): method, process or technique used to grow, cook, weave, build, assemble, manufacture the item, uses

[Assistant]
The property "CosIng number" (wd:P3073) is exactly what we need: it is the number for a chemical substance in the European CosIng database.

Now, I will construct a SPARQL query to retrieve the CosIng number (wd:P3073) for citric acid (wd:Q159683). I will also optionally retrieve a label for the number if available.

[Tool]
Got 1 row and 1 column:
| cosingNumber |
| ------------ |
| 32858        |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The answer is correct and complete. The SPARQL query directly retrieves the CosIng number (wdt:P3073) for citric acid (wd:Q159683) from Wikidata, and the result matches the expected information. The query follows all guidelines, returning only the identifier as required, and does not include unnecessary label fetching or post-processing. No further refinement is needed.


There is no Wikidata entity for the 2018 TV series 'Bepannaah', nor any entity with cast information linking actors to such a show. Without a valid entity for the TV series in Wikidata, it is not possible to construct a SPARQL query to retrieve all actors and their spouses for 'Bepannaah'. Therefore, the information cannot be retrieved due to missing data in 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] who married to of actor of Bepanaah ?

[Assistant]
Let's break down the question:

1. "Bepanaah" is likely a TV show or movie. I need to identify its entity in Wikidata.
2. "actor of Bepanaah" means I need to find the actors who acted in Bepanaah.
3. "who married to of actor of Bepanaah" means I need to find the spouses of those actors.

Step 1: Search for "Bepanaah" in Wikidata to get its entity.

[Tool]
Top 10 entity alternatives:
1. Bepanaah (wd:Q4890903): 1985 Hindi film

[Tool] No entity items found

[Tool]
Top 10 entity alternatives:
1. Bepanah Pyaar (wd:Q63630918): Indian television series

[Tool] No entity items found

[Tool]
Top 10 entity alternatives:
1. television series, also known as TV show, TV-series, television show, TV series (wd:Q5398426): connected set of television program episodes under the same title
2. TV Séries (wd:Q10377585): Brazilian magazine
3. TV Series (wd:Q50816416): academic journal
4. season, also known as series of television program, TV series, TV season, television series, television season (wd:P4908): season of a series (televison, web, podcast)
5. miniseries, also known as event series, TV miniseries, TV mini series, television miniseries, mini-series (wd:Q1259759): TV shows or series that have a predetermined number of episodes
6. Halo, also known as Halo: The Television Series, Halo (TV Series) (wd:Q55279915): television series
7. children's television series, also known as children's TV series, kids tv, kids TV series (wd:Q1273568): television programs designed for, and marketed to children
8. Chinese television drama, also known as cdrama, C-drama, Chinese drama, Chinese drama serial, Chinese drama series (wd:Q28195059): Chinese television drama series originating from Mainland China or the Greater China region
9. television series season, also known as TV show season, TV series season, TV season, season of a TV show, television show season (wd:Q3464665): set of episodes produced for a television series
10. drama television series, also known as drama TV series, dramatic television series, television drama series, TV drama series, drama series (wd:Q1366112): television series genre

[Tool]
Top 10 entity alternatives:
1. Jennifer Winget (wd:Q12073038): Indian film and television actress, television presenter, television actor
2. Jenna Haze, also known as Jenna Hayes, Jennifer, Jennifer Corrales, Jennifer Maria Corrales, Jenna Hace (wd:Q231677): American pornographic actress, pornographic film director, pornographic actor, film producer
3. Jennifer Warnes, also known as Jennifer Warren, Jennifer (wd:Q238410): American recording artist, singer, and composer, recording artist, record producer, songwriter, musician, lyricist, composer, singer
4. Windows Package Manager, also known as winget (wd:Q95225611): FOSS package manager for Windows 10
5. Jennifer, also known as Jennifer (given name), Jennifer (first name) (wd:Q4677161): female given name
6. Jennifer (wd:Q6178050): 1953 film directed by Joel Newton
7. Jennifer (wd:Q21934068): Indian actress, actor
8. Jennifer (wd:Q15299717): crater on Venus
9. Jennifer (wd:Q6178052): 1978 film by Brice Mack
10. Jennifer (wd:Q15079497): 1972 self-titled studio album by Jennifer (Jennifer Warnes)

[Tool]
Top 10 entity alternatives:
1. Harshad Chopda (wd:Q10989968): television actor, Indian actor, actor
2. Chopda (wd:Q1192614): city
3. Harshad (wd:Q111296855): given name
4. harshad number, also known as Niven number (wd:Q375355): integer that is divisible by the sum of its digits
5. Harshad Arora (wd:Q16910052): Indian model and television actor, television actor, actor, model
6. Harshad Mehta, also known as Harshad Shantilal Mehta (wd:Q5673835): Indian stockbroker (1953–2001), stockbroker
7. Harshad Bhadeshia, also known as Sir Harshad Kumar Dharamshi Hansraj Bhadeshia, H K D H Bhadeshia, Harshad Kumar Dharamshi Hansraj Bhadeshia, Harry Bhadeshia (wd:Q5673817): Tata Steel Professor of Metallurgy at the University of Cambridge, metallurgist, engineer
8. Harshad Trivedi (wd:Q23008814): Gujarati language poet, short story writer, critic and editor from Gujarat, India, writer
9. Harshad Meher, also known as Harshad Deepak Meher (wd:Q5673831): association football player, Indian footballer
10. Harshad Khadiwale (wd:Q13122329): Indian cricketer, cricketer

[Tool]
Top 10 property alternatives:
1. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as p/wdt): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative
2. 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)
3. 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
4. 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)
5. family name, also known as clan name, last name, surname (wd:P734 as p/wdt): part of full name of person, name
6. 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
7. 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
8. 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)
9. 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
10. social media followers, also known as number of subs, number of subscribers, sub count, sub number, subscriber number (wd:P8687 as p/wdt): number of subscribers on a particular social media website (use ... in time" and property for account. For Twitter, use numeric id.

No other items found

[Tool]
Got 1 row and 3 columns:
| subject                        | property         | object                           |
| ------------------------------ | ---------------- | -------------------------------- |
| Jennifer Winget (wd:Q12073038) | spouse (wdt:P26) | Karan Singh Grover (wd:Q3521637) |

[Tool]
Top 10 property alternatives:
1. 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)
2. 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)
3. 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
4. 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
5. 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
6. 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)
7. 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
8. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as p/wdt): award or recognition received by a person, organization or creative work
9. Instagram username, also known as IG username, www.instagram.com, urinsta, ufinsta, Insta ID (wd:P2003 as p/wdt): item's username on Instagram, website username or ID
10. 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)

No other items found

[Tool] Got no rows and 3 columns

[Tool]
Top 10 property alternatives:
1. cast member, also known as feat., starring (film/play), film starring, starring, actor (wd:P161 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): actor in the subject production [use "character role" (P453) and...use "recorded participant" (P11108) for non-fiction productions], significant person, performer
2. agent of action, also known as being done by, initiator, initiated by, done by, doer (wd:P12995 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): particular item that initiates this action or class of actions
3. performer, also known as actor, sung by, singer, recording by, recorded by (wd:P175 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): actor, musician, band or other performer associated with this role or musical work, contributor to the creative work or subject
4. agents of action have role, also known as actors have role, agent has role, agent of action has role, agents have role, done by agent(s) with role (wd:P12993 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): role that agents of this action take on in the context of this action
5. used by, also known as armiger, user, played by, of (wd:P1535 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): item or concept that makes use of the subject (use sub-properties when appropriate)
6. depicted by, also known as acted by, shown in, seen in, portrayed by, played by (wd:P1299 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): object depicting this subject (object being creative works such as books, films, paintings)
7. character role, also known as role, plays, performer of, as, acting role (wd:P453 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): specific role played or filled by subject -- use only as qualifier of "cast member" (P161), "voice actor" (P725)
8. describes actor of (wd:P12027 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): predicate sense whose actor (an agent or a cause—basically the instigator of an action) is denoted by this sense
9. notable role, also known as notable character role, notable for character role, notable for role (wd:P10606 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): role in a theatrical, motion picture, television, or other work that a performer is particularly known for, notable work
10. film crew member (wd:P3092 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): member of the crew creating an audiovisual work, used for miscel... available: notably for cast member (P161), director (P57), etc., significant person

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Assistant]
Here is my reasoning so far:

- The only "Bepanaah" entity found in Wikidata is wd:Q4890903, a 1985 Hindi film, not the TV series "Bepannaah" (2018) which is likely what the question refers to.
- I searched for the main actors of "Bepannaah" (Jennifer Winget and Harshad Chopda) and found their Wikidata entities.
- Jennifer Winget (wd:Q12073038) was married to Karan Singh Grover (wd:Q3521637).
- Harshad Chopda (wd:Q10989968) has no spouse listed in Wikidata.
- There is no cast information linking actors to "Bepanaah" (wd:Q4890903) in Wikidata.

Therefore, the best I can do is to provide the spouses of the actors I could identify from "Bepannaah" (Jennifer Winget and Harshad Chopda), but only Jennifer Winget has a spouse listed.

Here is the SPARQL query to get the spouse of Jennifer Winget:

```sparql
SELECT ?actor ?actorLabel ?spouse ?spouseLabel WHERE {
  VALUES ?actor { wd:Q12073038 }
  OPTIONAL { ?actor wdt:P26 ?spouse. }
  OPTIONAL { ?actor rdfs:label ?actorLabel. FILTER(LANG(?actorLabel)="en") }
  OPTIONAL { ?spouse rdfs:label ?spouseLabel. FILTER(LANG(?spouseLabel)="en") }
}
```

Final answer: Jennifer Winget, an actor from "Bepannaah", was married to Karan Singh Grover. Harshad Chopda, another main actor, has no spouse listed in Wikidata.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The query only considers Jennifer Winget (wd:Q12073038) as an actor from 'Bepannaah', but the question asks about the spouse(s) of actors from 'Bepanaah' (which should be 'Bepannaah'). The query should first find all actors who acted in 'Bepannaah', then for each, retrieve their spouse(s). Currently, it is hardcoded to Jennifer Winget only. Please refine the query to dynamically find all actors from 'Bepannaah' (wd:Q55159829) and their spouses, not just Jennifer Winget.

[Assistant]
Thank you for the feedback. You are correct: the query should dynamically find all actors from 'Bepannaah' (wd:Q55159829) and then retrieve their spouses.

Here’s my plan:
1. Use the correct entity for 'Bepannaah' (wd:Q55159829).
2. Find all actors using the property "cast member" (wdt:P161).
3. For each actor, retrieve their spouse(s) using the property "spouse" (wdt:P26).
4. Optionally, get English labels for readability.

Let me construct the refined SPARQL query.

[Tool] Got no rows and 4 columns

[Tool] Got no rows and 3 columns

[Tool]
Got 34 rows and 3 columns, showing the first 10 rows below:
| subject                                     | property                       | object                                      |
| ------------------------------------------- | ------------------------------ | ------------------------------------------- |
| hypothetical protein BA_3464 (wd:Q55159829) | instance of (wdt:P31)          | gene (wd:Q7187)                             |
| hypothetical protein BA_3464 (wd:Q55159829) | found in taxon (wdt:P703)      | Bacillus anthracis str. Ames (wd:Q21102968) |
| hypothetical protein BA_3464 (wd:Q55159829) | genomic start (wdt:P644)       | 3186544                                     |
| hypothetical protein BA_3464 (wd:Q55159829) | genomic end (wdt:P645)         | 3186960                                     |
| hypothetical protein BA_3464 (wd:Q55159829) | strand orientation (wdt:P2548) | forward strand (wd:Q22809680)               |
| hypothetical protein BA_3464 (wd:Q55159829) | encodes (wdt:P688)             | Hypothetical protein BA_3464 (wd:Q56265113) |
| hypothetical protein BA_3464 (wd:Q55159829) | Entrez Gene ID (wdtn:P351)     | <http://purl.uniprot.org/geneid/1085692>    |
| hypothetical protein BA_3464 (wd:Q55159829) | NCBI locus tag (wdt:P2393)     | BA_3464                                     |
| hypothetical protein BA_3464 (wd:Q55159829) | wdt:P31279                     | gene (wd:Q7187)                             |
| hypothetical protein BA_3464 (wd:Q55159829) | schema:description             | gen inhypothetical protein BA_3464 (nl)     |
| ...                                         | ...                            | ...                                         |

[Tool] No entity items found

[Tool]
Top 10 entity alternatives:
1. television series, also known as TV show, TV-series, television show, TV series (wd:Q5398426): connected set of television program episodes under the same title
2. TV Séries (wd:Q10377585): Brazilian magazine
3. TV Series (wd:Q50816416): academic journal
4. season, also known as series of television program, TV series, TV season, television series, television season (wd:P4908): season of a series (televison, web, podcast)
5. miniseries, also known as event series, TV miniseries, TV mini series, television miniseries, mini-series (wd:Q1259759): TV shows or series that have a predetermined number of episodes
6. Halo, also known as Halo: The Television Series, Halo (TV Series) (wd:Q55279915): television series
7. children's television series, also known as children's TV series, kids tv, kids TV series (wd:Q1273568): television programs designed for, and marketed to children
8. Chinese television drama, also known as cdrama, C-drama, Chinese drama, Chinese drama serial, Chinese drama series (wd:Q28195059): Chinese television drama series originating from Mainland China or the Greater China region
9. television series season, also known as TV show season, TV series season, TV season, season of a TV show, television show season (wd:Q3464665): set of episodes produced for a television series
10. drama television series, also known as drama TV series, dramatic television series, television drama series, TV drama series, drama series (wd:Q1366112): television series genre

[Tool]
Top 10 entity alternatives:
1. Bepanah Pyaar (wd:Q63630918): Indian television series

[Tool]
Top 10 entity alternatives:
1. Bepanah Pyaar (wd:Q63630918): Indian television series
2. Pyar, also known as Pyaar (wd:Q3429601): 1950 film directed by V.M. Vyas
3. Pyaar (wd:Q7262813): Sanskrit term
4. Pyaar Impossible!, also known as Pyaar Impossible (wd:Q7262814): 2010 film by Jugal Hansraj
5. Pyaar Diwana (wd:Q7262812): 1972 film
6. Pyaar Mohabbat (wd:Q7262832): 1988 film
7. Pyaar Testing (wd:Q132798138): 2025 Indian TV series or programme
8. Pyaar Kahani (wd:Q85795114): 2019 film directed by Aehsun Talish
9. Only Pyar, also known as Only Pyaar (wd:Q43799271): 2018 Odia film
10. Pehla Pyaar (wd:Q114739394)

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The system's explanation is correct that it could not find a Wikidata entity for the TV series 'Bepannaah' and thus could not dynamically retrieve all actors and their spouses. However, the fallback query only retrieves the spouse of Jennifer Winget, who is one of the actors, but not necessarily all actors of 'Bepannaah'. The query should attempt to find all actors of 'Bepannaah' (if the entity exists), and then their spouses. If the entity does not exist, the answer should clearly state that the information cannot be retrieved due to missing data in Wikidata, rather than returning an incomplete answer for a single actor. Please retry and either improve the entity search for 'Bepannaah' or provide a clear, direct explanation of the data limitation without returning a partial answer.

[Assistant]
Thank you for the feedback and clarification.

Here’s my step-by-step reasoning:

1. I have thoroughly searched for the TV series 'Bepannaah' in Wikidata using various spellings and related queries.
2. The only entities found are for the 1985 film 'Bepanaah' (wd:Q4890903) and 'Bepanah Pyaar' (wd:Q63630918), which are not the 2018 TV series 'Bepannaah'.
3. There is no Wikidata entity for the 2018 TV series 'Bepannaah', nor any entity with cast information linking actors to such a show.
4. Without a valid entity for the TV series in Wikidata, it is not possible to construct a SPARQL query to retrieve all actors and their spouses for 'Bepannaah'.

Therefore, I cannot answer the question with a SPARQL query due to missing data in Wikidata. Here is a clear and direct explanation, as requested.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?currency WHERE {
  wd:Q15180 wdt:P38 ?currency
}

The currency of the Soviet Union was the Soviet ruble (wd:Q615640). The Soviet Union no longer exists, so it does not have a current currency.

[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 was and is the currency of the Soviet Union?

[Assistant]
Let's break down the question:

1. We need to identify the currency that was used by the Soviet Union (historically).
2. We also need to check if there is any current currency for the Soviet Union (which likely does not exist, as the Soviet Union dissolved in 1991).

Step 1: Search for the entity "Soviet Union" in Wikidata to get its identifier.

[Tool]
Top 10 entity alternatives:
1. Soviet Union, also known as U.S.S.R., U.S.S.R, USSR, Union of Soviet Socialist Republics, The USSR (wd:Q15180): former country in Eurasia (1922–1991)
2. Soviet Union, also known as Union of Soviet Socialist Republics, The USSR, URS, the Union of Soviet Socialist Republics, the Soviet Union (wd:Q15180): former country in Eurasia (1922–1991)
3. Soviet union (wd:Q89285299): scientific article published on 01 June 1989
4. Soviet Union, also known as Star Trek Soviet Union, Star Trek USSR, USSR (wd:Q99288945): the country of the Soviet Union as depicted in Star Trek
5. Soviet Union (wd:Q59002944): scientific article published in Nature
6. Soviet Union (wd:Q26325652): journal article published in 1987
7. Soviet Union (wd:Q26325645): journal article published in 1986
8. Soviet Union (wd:Q26325591): journal article published in 1972
9. Soviet union (wd:Q87899467): scientific article published on 01 January 1988
10. Soviet union (wd:Q87703060): scientific article published on 01 December 1987

[Assistant]
The main entity for the Soviet Union as a country is wd:Q15180.

Next, I need to find the property in Wikidata that links a country to its currency. I will search for the property "currency".

[Tool]
Top 10 property alternatives:
1. currency, also known as base currency, used money (wd:P38 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): currency used by item, uses
2. ISO 4217 code, also known as currency code, ISO 4217, ISO 4217 alphabetic code, ISO currency code (wd:P498 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): identifier for a currency per ISO 4217
3. price, also known as cost, exchange rate, list price, MSRP, published price (wd:P2284 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): published price listed or paid for a product (use with unit of currency)
4. prize money, also known as money, purse, value (wd:P2121 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): amount in a specific currency
5. cash (wd:P2232 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): the value of cash and securities held by a state government
6. currency symbol description (wd:P489 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): item with description of currency symbol, notation
7. face value, also known as coin value, numeric value of coin, value of coin (wd:P3934 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): value printed on a coin, stamp or banknote by the issuing authority
8. quantity, also known as amount, total number, total, qty, occurrences (wd:P1114 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): number of instances of this subject in the universe of the subje...e actual number of instances in Wikidata may be lower or higher)
9. item of property constraint, also known as claim value, value, qid, property value, item qualifier (wd:P2305 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): qualifier to define a property constraint in combination with "property constraint" (P2302)
10. numeric value, also known as numerical value, value (wd:P1181 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): numerical value of a number, a mathematical constant, or a physical constant

[Assistant]
The property for "currency" is wd:P38.

Now, I will check which currencies are (or were) associated with the Soviet Union (wd:Q15180) using this property.

[Tool]
Got 1 row and 3 columns:
| subject                  | property           | object                    |
| ------------------------ | ------------------ | ------------------------- |
| Soviet Union (wd:Q15180) | currency (wdt:P38) | Soviet ruble (wd:Q615640) |

[Tool]
Got 1 row and 2 columns:
| currency                  | currencyLabel     |
| ------------------------- | ----------------- |
| Soviet ruble (wd:Q615640) | Soviet ruble (en) |

[Tool] Got no rows and 2 columns

[Tool]
Got 2,193 rows and 3 columns, showing the first 10 rows below:
| subject                  | property                        | object                                                  |
| ------------------------ | ------------------------------- | ------------------------------------------------------- |
| Soviet Union (wd:Q15180) | instance of (wdt:P31)           | historical country (wd:Q3024240)                        |
| Soviet Union (wd:Q15180) | country (wdt:P17)               | Soviet Union (wd:Q15180)                                |
| Soviet Union (wd:Q15180) | coordinate location (wdt:P625)  | POINT(90.000000 65.000000) (geo:wktLiteral)             |
| Soviet Union (wd:Q15180) | Commons category (wdt:P373)     | Soviet Union                                            |
| Soviet Union (wd:Q15180) | population (wdt:P1082)          | 293047571 (xsd:decimal)                                 |
| Soviet Union (wd:Q15180) | inception (wdt:P571)            | 1922-12-30T00:00:00Z (xsd:dateTime)                     |
| Soviet Union (wd:Q15180) | short name (wdt:P1813)          | СССР (ru)                                               |
| Soviet Union (wd:Q15180) | has part(s) (wdt:P527)          | Russian Soviet Federative Socialist Republic (wd:Q2184) |
| Soviet Union (wd:Q15180) | described by source (wdt:P1343) | Armenian Soviet Encyclopedia (wd:Q2657718)              |
| Soviet Union (wd:Q15180) | official name (wdt:P1448)       | Союз Советских Социалистических Республик (ru)          |
| ...                      | ...                             | ...                                                     |

[Assistant]
From the previous results, we see that the only currency associated with the Soviet Union (wd:Q15180) via the "currency" property (wdt:P38) is the "Soviet ruble" (wd:Q615640).

Since the Soviet Union no longer exists, it does not have a current currency. The Soviet ruble was its historical currency.

I will now provide the final SPARQL query and answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The answer is correct and complete. The SPARQL query retrieves the currency of the Soviet Union (wd:Q15180) using the appropriate property (wdt:P38), and the result is the Soviet ruble (wd:Q615640). The answer also correctly notes that the Soviet Union no longer exists, so it does not have a current currency. No further refinement is needed.