PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?country ( COUNT( ?airport ) AS ?airportCount ) ?population WHERE {
  ?airport wdt:P31 wd:Q1248784 ; wdt:P17 ?country .
  FILTER NOT EXISTS {
    ?airport wdt:P582 ?endtime
  }
  FILTER NOT EXISTS {
    ?airport wdt:P576 ?dissolved
  }
  OPTIONAL {
    ?country wdt:P1082 ?population
  }
}
GROUP BY ?country ?population
ORDER BY DESC ( ?airportCount )

Got 212 rows and 3 columns, showing the first 5 and last 5 rows below:
| country                             | airportCount    | population              |
| ----------------------------------- | --------------- | ----------------------- |
| United States (wd:Q30)              | 12805 (xsd:int) | 340110988 (xsd:decimal) |
| Canada (wd:Q16)                     | 1248 (xsd:int)  | 36991981 (xsd:decimal)  |
| Brazil (wd:Q155)                    | 649 (xsd:int)   | 203062512 (xsd:decimal) |
| Australia (wd:Q408)                 | 475 (xsd:int)   | 26473055 (xsd:decimal)  |
| Russia (wd:Q159)                    | 386 (xsd:int)   | 146119928 (xsd:decimal) |
| ...                                 | ...             | ...                     |
| Cocos (Keeling) Islands (wd:Q36004) | 1 (xsd:int)     | 602 (xsd:decimal)       |
| Malta (wd:Q233)                     | 1 (xsd:int)     | 553214 (xsd:decimal)    |
| Republic of Abkhazia (wd:Q31354462) | 1 (xsd:int)     | 245246 (xsd:decimal)    |
| Monaco (wd:Q235)                    | 1 (xsd:int)     | 38350 (xsd:decimal)     |
| Barbados (wd:Q244)                  | 1 (xsd:int)     | 303431 (xsd:decimal)    |

This query returns, for each country, the number of currently operational airports (excluding those with an end time or dissolved/abolished/demolished date) and the country's population, if available.

[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 current number of operational airports and the population for each country, excluding airports that have an end time or a dissolved, abolished, or demolished date, if available?

[Assistant]
Let's break down the question:

1. We need the number of operational airports per country.
2. "Operational" means airports that do NOT have an end time, dissolved, abolished, or demolished date.
3. We also need the population for each country.

Step 1: Identify entities and properties.
- "Airport" is an entity type.
- "Country" is an entity type.
- "Located in country" is likely the property linking airports to countries.
- "End time", "dissolved, abolished or demolished date" are properties marking non-operational airports.
- "Population" is a property of countries.

I'll start by searching for the relevant properties for "end time", "dissolved, abolished or demolished date", "located in country", and "population".

[Tool]
Top 10 property alternatives:
1. end time, also known as ends, stop time, endtime, fall date, ineffective (wd:P582 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true, point in time
2. end period, also known as until period (wd:P3416 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): last period in which the statement is still valid (including the period-value)
3. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): dissolved, abolished or demolished date, date on which the subject died, end time
4. work period (end), also known as floruit end, floruit (end of work), flourished (end), retirement, work ends (wd:P2032 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): end of period during which a person or group flourished (fl. = "floruit") in their professional activity, end time, floruit
5. destination of transfer, also known as recipient, to, target, receiver, end point (wd:P12694 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): entity that a transferred item comes to be associated with as a result of this process
6. terminus, also known as end point, terminating connection, termini, terminuses, trailhead (wd:P559 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): the feature (intersecting road, train station, etc.) at the end of a linear feature
7. dissolved, abolished or demolished date, also known as ended, publication end date, final issue, date repealed, final year (wd:P576 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): point in time at which the subject (organisation, building) ceas...g equipment,  "discontinued date" (P2669) for stopping a product, end time
8. end cause, also known as cause of ending, ended by, end has cause, end reason, reason for end (wd:P1534 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): qualifier used together with the end date qualifier (P582) to specify the reason for the end
9. point in time, also known as at time, as of, year, when, time of event (wd:P585 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
10. last line, also known as closing line, ending, excipit, final line, final sentence (wd:P3132 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): last line (excipit) of a poem, last sentence of a novel, etc.

[Tool]
Top 10 property alternatives:
1. valid in place, also known as applies to country, applies to location, applies to place, country, true in (wd:P3005 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): place where a statement is valid, applies to part
2. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
3. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): the object is a country that recognizes the subject as its citizen, country
4. country, also known as sovereign state, state, land, host country (wd:P17 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
5. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/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
6. 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 psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
7. operating area, also known as province served, serves jurisdiction, serves geographic region, serves geographic area, serves area (wd:P2541 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, location
8. located in the statistical territorial entity, also known as located in statistical territorial entity, statistical territorial entity (wd:P8138 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): statistical territorial entity in which a place is located or is...nty is split into or part of several regions: add several values, location
9. set in environment, also known as set in location, takes place in, setting location, playing in, narrative set in (wd:P8411 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): environment (geographic feature, building type, etc.) the narrative work is set in, significant place, depicts
10. narrative location, also known as set in location, set in, setting, setting location, setting of work (wd:P840 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): the narrative of the work is set in this location, significant place, depicts

[Tool]
Top 10 property alternatives:
1. tabular population, also known as population (wd:P4179 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): same as population (P1082); used when there is data for many different points in time
2. population, also known as inhabitants, human population (wd:P1082 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): number of people inhabiting the place; number of people of subject
3. has census, also known as has human population census (wd:P8701 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): general population census of the country or region
4. urban population (wd:P6343 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): number of people living within the territorial entity who live in its urban parts, population
5. birth rate (wd:P8763 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): the total number of live births per 1,000 population
6. category populated by, also known as category filled by, category has template, cat populated by, component adding into the category, populated by (wd:P4329 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): software component (template, module, extension, MediaWiki core) populating the category
7. rural population (wd:P6344 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): number of people living within the territorial entity who live in its rural parts, population
8. female population (wd:P1539 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): number of female people inhabiting the place; number of female people of subject, population
9. male population, also known as male inhabitants, number of males (wd:P1540 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): number of male people inhabiting the place; number of male people of subject, population
10. number of households, also known as dwellings, households (wd:P1538 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): total number of households in this place, includes dwellings of all types

[Tool]
Top 10 entity alternatives:
1. airport, also known as aerodrome, air port, airports (wd:Q1248784): location where aircraft take off and land with extended support facilities, mostly for commercial air transport
2. Airport (wd:Q409022): 1970 film directed by George Seaton
3. AirPort, also known as Apple AirPort (wd:Q697292): brand of wifi router equipment made by Apple Inc.
4. Airport, also known as Airport, CA, Airport, California (wd:Q4698872): census-designated place in Stanislaus County, California, USA
5. Airport (wd:Q2604087): 1968 novel by Arthur Hailey
6. Kasese Airport, also known as Airport, HUKS, KSE (wd:Q6374123): airport in Uganda
7. Basongo Airport, also known as airport, BAN, FZVR (wd:Q3339360): airport in Democratic Republic of the Congo
8. Bambili-Dingila Airport, also known as airport, FZKB, Aéroport de Bambili-Dingila (wd:Q3206837): airport in Democratic Republic of the Congo
9. Bokungu Airport, also known as Airport, FZGF (wd:Q4938837): airport in Democratic Republic of the Congo
10. Airport, also known as Rapid Airport (wd:Q11289474): Rapid trains in Hokkaido, Japan

[Tool]
Top 10 entity alternatives:
1. country, also known as countries (wd:Q6256): distinct territorial body or political entity
2. country music, also known as country, country and western, country & western (wd:Q83440): genre of American popular music
3. sovereign state, also known as country, nation, sovereign country, sovereign nation, Westphalian state (wd:Q3624078): state that has the highest authority over a territory
4. Dennis Rodman, also known as Rodzilla, Psycho, The Worm, Worm, Country (wd:Q201608): American basketball player, professional wrestler, basketball player, amateur wrestler, basketball coach, voice actor, film actor, actor
5. Country (wd:Q1754454): 1984 film directed by Richard Pearce
6. .country (wd:Q20571777): top-level domain
7. Country (wd:Q5177190): music album by Anne Murray
8. Country (wd:Q48816259): People in rural areas of the United States
9. Country (wd:Q26779428): Chilean political party founded in 2016
10. country (wd:Q22828881)

[Tool]
Got 10 rows and 1 column:
| airport                                    |
| ------------------------------------------ |
| Jinggangshan Airport (wd:Q1000018)         |
| Changde Taohuayuan Airport (wd:Q1000025)   |
| Jiujiang Lushan Airport (wd:Q1002604)      |
| Aksu Hongqipo Airport (wd:Q1006478)        |
| Mohe Gulian Airport (wd:Q1006900)          |
| Surbung Airport (wd:Q100934269)            |
| Dehong Mangshi Airport (wd:Q1013770)       |
| Panzhihua Bao'anying Airport (wd:Q1014250) |
| Quzhou Airport (wd:Q1014270)               |
| Taizhou Luqiao Airport (wd:Q1014276)       |

[Tool]
Got 172 rows and 3 columns, showing the first 10 rows below:
| subject                            | property                                                    | object                                                                         |
| ---------------------------------- | ----------------------------------------------------------- | ------------------------------------------------------------------------------ |
| Jinggangshan Airport (wd:Q1000018) | instance of (wdt:P31)                                       | airport (wd:Q1248784)                                                          |
| Jinggangshan Airport (wd:Q1000018) | country (wdt:P17)                                           | People's Republic of China (wd:Q148)                                           |
| Jinggangshan Airport (wd:Q1000018) | located in the administrative territorial entity (wdt:P131) | Taihe County (wd:Q1375378)                                                     |
| Jinggangshan Airport (wd:Q1000018) | coordinate location (wdt:P625)                              | POINT(114.737222 26.857500) (geo:wktLiteral)                                   |
| Jinggangshan Airport (wd:Q1000018) | Commons category (wdt:P373)                                 | Jinggangshan Airport                                                           |
| Jinggangshan Airport (wd:Q1000018) | image (wdt:P18)                                             | <http://commons.wikimedia.org/wiki/Special:FilePath/Jingangshan%20Airport.jpg> |
| Jinggangshan Airport (wd:Q1000018) | located in time zone (wdt:P421)                             | UTC+08:00 (wd:Q6985)                                                           |
| Jinggangshan Airport (wd:Q1000018) | elevation above sea level (wdt:P2044)                       | 86 (xsd:decimal)                                                               |
| Jinggangshan Airport (wd:Q1000018) | contains the administrative territorial entity (wdt:P150)   | Jinggangshan Airport virtual community (wd:Q14578195)                          |
| Jinggangshan Airport (wd:Q1000018) | state of use (wdt:P5817)                                    | in use (wd:Q55654238)                                                          |
| ...                                | ...                                                         | ...                                                                            |

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool]
Got 24,389 rows and 3 columns, showing the first 10 rows below:
| subject                                         | property              | object                |
| ----------------------------------------------- | --------------------- | --------------------- |
| Dong Hoi Airport (wd:Q4156)                     | instance of (wdt:P31) | airport (wd:Q1248784) |
| Tan Son Nhat International Airport (wd:Q478595) | instance of (wdt:P31) | airport (wd:Q1248784) |
| Da Nang International Airport (wd:Q773330)      | instance of (wdt:P31) | airport (wd:Q1248784) |
| Cam Ranh International Airport (wd:Q25226)      | instance of (wdt:P31) | airport (wd:Q1248784) |
| Cà Mau Airport (wd:Q900492)                     | instance of (wdt:P31) | airport (wd:Q1248784) |
| Sheremetyevo International Airport (wd:Q192733) | instance of (wdt:P31) | airport (wd:Q1248784) |
| Singapore Changi Airport (wd:Q32159)            | instance of (wdt:P31) | airport (wd:Q1248784) |
| Tokyo International Airport (wd:Q204853)        | instance of (wdt:P31) | airport (wd:Q1248784) |
| Suvarnabhumi Airport (wd:Q194316)               | instance of (wdt:P31) | airport (wd:Q1248784) |
| Phu Quoc International Airport (wd:Q1423325)    | instance of (wdt:P31) | airport (wd:Q1248784) |
| ...                                             | ...                   | ...                   |

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                                 | property          | object                               |
| --------------------------------------- | ----------------- | ------------------------------------ |
| AllSides ID (wd:P10006)                 | country (wdt:P17) | United States (wd:Q30)               |
| TEİS ID (wd:P10698)                     | country (wdt:P17) | Turkey (wd:Q43)                      |
| StopGame ID (wd:P10030)                 | country (wdt:P17) | Russia (wd:Q159)                     |
| Famitsu game ID (wd:P10144)             | country (wdt:P17) | Japan (wd:Q17)                       |
| IRIS GSSI author ID (wd:P10009)         | country (wdt:P17) | Italy (wd:Q38)                       |
| Remontees-mecaniques.net ID (wd:P10005) | country (wdt:P17) | France (wd:Q142)                     |
| Castforward ID (wd:P10060)              | country (wdt:P17) | Germany (wd:Q183)                    |
| SEKO ID (wd:P10063)                     | country (wdt:P17) | Finland (wd:Q33)                     |
| wd:L1370113                             | country (wdt:P17) | India (wd:Q668)                      |
| Baidu Scholar journal ID (wd:P10061)    | country (wdt:P17) | People's Republic of China (wd:Q148) |
| ...                                     | ...               | ...                                  |

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                | property               | object                  |
| ---------------------- | ---------------------- | ----------------------- |
| Nigeria (wd:Q1033)     | population (wdt:P1082) | 211400708 (xsd:decimal) |
| Libya (wd:Q1016)       | population (wdt:P1082) | 6678567 (xsd:decimal)   |
| Sudan (wd:Q1049)       | population (wdt:P1082) | 40533330 (xsd:decimal)  |
| Morocco (wd:Q1028)     | population (wdt:P1082) | 36828330 (xsd:decimal)  |
| Somalia (wd:Q1045)     | population (wdt:P1082) | 11031386 (xsd:decimal)  |
| Namibia (wd:Q1030)     | population (wdt:P1082) | 2533794 (xsd:decimal)   |
| Madagascar (wd:Q1019)  | population (wdt:P1082) | 25570895 (xsd:decimal)  |
| Ivory Coast (wd:Q1008) | population (wdt:P1082) | 31165654 (xsd:decimal)  |
| Cameroon (wd:Q1009)    | population (wdt:P1082) | 28372687 (xsd:decimal)  |
| Uganda (wd:Q1036)      | population (wdt:P1082) | 47123531 (xsd:decimal)  |
| ...                    | ...                    | ...                     |

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                         | property                                           | object                              |
| ------------------------------- | -------------------------------------------------- | ----------------------------------- |
| apartheid (wd:Q11409)           | dissolved, abolished or demolished date (wdt:P576) | 1991-01-01T00:00:00Z (xsd:dateTime) |
| Alsace (wd:Q1142)               | dissolved, abolished or demolished date (wdt:P576) | 2015-12-31T00:00:00Z (xsd:dateTime) |
| World Trade Center (wd:Q11235)  | dissolved, abolished or demolished date (wdt:P576) | 2001-09-11T00:00:00Z (xsd:dateTime) |
| Kievan Rus' (wd:Q1108445)       | dissolved, abolished or demolished date (wdt:P576) | 1240-01-01T00:00:00Z (xsd:dateTime) |
| Kingdom of Numidia (wd:Q102679) | dissolved, abolished or demolished date (wdt:P576) | -045-01-01T00:00:00Z (xsd:dateTime) |
| Kingdom of Wessex (wd:Q105313)  | dissolved, abolished or demolished date (wdt:P576) | 0927-01-01T00:00:00Z (xsd:dateTime) |
| House of Romanov (wd:Q112707)   | dissolved, abolished or demolished date (wdt:P576) | 1762-01-01T00:00:00Z (xsd:dateTime) |
| House of Tudor (wd:Q101978)     | dissolved, abolished or demolished date (wdt:P576) | 1603-03-24T00:00:00Z (xsd:dateTime) |
| East Prussia (wd:Q103801)       | dissolved, abolished or demolished date (wdt:P576) | 1945-01-01T00:00:00Z (xsd:dateTime) |
| Kingdom of Mercia (wd:Q105092)  | dissolved, abolished or demolished date (wdt:P576) | 0918-01-01T00:00:00Z (xsd:dateTime) |
| ...                             | ...                                                | ...                                 |

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                          | property            | object                                   |
| -------------------------------- | ------------------- | ---------------------------------------- |
| Spanish Civil War (wd:Q10859)    | end time (wdt:P582) | 1939-04-01T00:00:00Z (xsd:dateTime)      |
| Breaking Bad (wd:Q1079)          | end time (wdt:P582) | 2013-09-29T00:00:00Z (xsd:dateTime)      |
| Homo erectus (wd:Q101362)        | end time (wdt:P582) | -143000-01-01T00:00:00 (xsd:dateTime)    |
| Archaeopteryx (wd:Q100196)       | end time (wdt:P582) | -148500000-01-01T00:00:00 (xsd:dateTime) |
| 22nd century (wd:Q11177)         | end time (wdt:P582) | 2200-12-31T00:00:00Z (xsd:dateTime)      |
| 1998 FIFA World Cup (wd:Q101730) | end time (wdt:P582) | 1998-07-12T00:00:00Z (xsd:dateTime)      |
| February Revolution (wd:Q101534) | end time (wdt:P582) | 1917-03-16T00:00:00Z (xsd:dateTime)      |
| Australopithecus (wd:Q103237)    | end time (wdt:P582) | -1977000-01-01T00:00:00 (xsd:dateTime)   |
| Cuban Revolution (wd:Q11264)     | end time (wdt:P582) | 1959-01-01T00:00:00Z (xsd:dateTime)      |
| Homo habilis (wd:Q101373)        | end time (wdt:P582) | -1500000-01-01T00:00:00 (xsd:dateTime)   |
| ...                              | ...                 | ...                                      |

[Assistant]
I now have all the necessary properties and entities:
- Airport: wd:Q1248784
- Country: wd:Q6256
- "instance of": wdt:P31
- "country": wdt:P17
- "population": wdt:P1082
- "end time": wdt:P582
- "dissolved, abolished or demolished date": wdt:P576

To answer the question, I need to:
1. Select all airports (wd:Q1248784) that do NOT have an end time (wdt:P582) or dissolved/abolished/demolished date (wdt:P576).
2. Group them by country (wdt:P17) and count the number per country.
3. For each country, get its population (wdt:P1082).

I will now construct a SPARQL query that does this, returning the country, the count of operational airports, and the population.

[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/>
SELECT DISTINCT ?item ?itemLabel WHERE {
  ?item wdt:P31 ?class .
  VALUES ?class {
    wd:Q18636219 wd:Q51077473
  }
  OPTIONAL {
    ?item rdfs:label ?itemLabel FILTER ( lang( ?itemLabel ) = "en" )
  }
}

Got 83 rows and 2 columns, showing the first 5 and last 5 rows below:
| item                                   | itemLabel                       |
| -------------------------------------- | ------------------------------- |
| recording date (wd:P10135)             | recording date (en)             |
| time in the pouch (wd:P10322)          | time in the pouch (en)          |
| academic calendar type (wd:P10588)     | academic calendar type (en)     |
| date of first performance (wd:P1191)   | date of first performance (en)  |
| chronological designation (wd:P12044) | chronological designation (en) |
| ...                                    | ...                             |
| extinction date (wd:P8556)             | extinction date (en)            |
| date postally canceled (wd:P9052)      | date postally canceled (en)     |
| introduced on (wd:P9448)               | introduced on (en)              |
| diel cycle (wd:P9566)                  | diel cycle (en)                 |
| date of resignation (wd:P9667)         | date of resignation (en)        |

The distinct items that are instances of either a Wikidata property with datatype 'time' or a Wikidata property related to time and duration are all items that are instances of wd:Q18636219 or wd:Q51077473. Examples include 'recording date' (wd:P10135), 'time in the pouch' (wd:P10322), 'academic calendar type' (wd:P10588), 'date of first performance' (wd:P1191), 'chronological designation' (wd:P12044), 'extinction date' (wd:P8556), 'date postally canceled' (wd:P9052), 'introduced on' (wd:P9448), 'diel cycle' (wd:P9566), and 'date of resignation' (wd:P9667). The full list can be retrieved with the provided SPARQL query.

[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 are the distinct items that are instances of either a Wikidata property with datatype 'time' or a Wikidata property related to time and duration?

[Assistant]
Let's break down the question:

1. We need to find items that are instances of either:
   - A Wikidata property with datatype 'time'.
   - A Wikidata property related to time and duration.

2. So, first, we need to identify:
   - The entity for "Wikidata property" (likely wd:Q18616576).
   - The property for "datatype" and the entity for "time" datatype.
   - How to identify properties "related to time and duration" (possibly via their descriptions, labels, or subclass relationships).

Let's proceed step by step.

First, let's search for the entity "Wikidata property".

[Tool]
Top 10 entity alternatives:
1. Wikidata property, also known as WD property, property (Wikidata), property (WD), property on WD, property on Wikidata (wd:Q18616576): part of statements according to the Wikidata data model, appearing as the 2nd item in the statement triple
2. type of Wikidata property, also known as Wikidata property, Wikidata property type (wd:Q107649491): Wikidata metaclass for properties
3. Wikidata property, also known as property, property for this item, main property, has property (wd:P1687): main Wikidata property for this item
4. curated Wikidata property (wd:Q121928698): Wikidata property for which only selective statements are added instead of an exhaustive list
5. asymmetric Wikidata property, also known as asymmetric property, Wikidata asymmetric property (wd:Q18647519): To be used to declare properties to be asymmetric. OWL language construct.
6. orderable Wikidata property, also known as comparable Wikidata property, sortable Wikidata property (wd:Q18668171): properties of this type should be used as a statement ordering key
7. property likely to be challenged, also known as controversial Wikidata property, controversial property, Wikidata property likely to be challenged (wd:Q44597997): when this property is used with items of living people it's like... a reliable public source as suggested in Wikidata:Living people
8. property constraint, also known as Wikidata property constraint (wd:Q21502402): constraint of a Wikidata property
9. transitive Wikidata property, also known as transitive property (wd:Q18647515): to be used to declare properties to be transitive; OWL language construct
10. Wikidata property about Wikidata entities themselves, also known as Wikidata self-reference property (wd:Q103824108): Wikidata property that describe the item or lexeme itself, instead of the subject it described

[Assistant]
The main entity for "Wikidata property" is wd:Q18616576.

Next, we need to find the property that links a Wikidata property to its datatype, and the entity for the "time" datatype.

Let's search for properties related to "datatype".

[Tool]
Top 10 property alternatives:
1. external data available at URL, also known as data, external data URL, URL with external data (wd:P1325 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): URL where external data on this item can be found
2. storage device, also known as data storage type, uses data storage type, storage type, memory card (wd:P4788 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): data storage device supported by a machine (e.g. camera or mobile phone)
3. class, also known as type (wd:P2308 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): qualifier to define a property constraint in combination with "property constraint" (P2302)
4. taxonomic type, also known as genotype, species typica, type, type genus, type species (wd:P427 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): type genus or species: [in zoology:] nominal genus or species th...t is the name-bearing type of this nominal species or subspecies
5. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
6. typing discipline, also known as typing, type system (wd:P7078 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): specifies the typing discipline implemented, used, or mandated in a programming language, manifestation of
7. type of variable star, also known as variable type (wd:P881 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): type of star
8. data size, also known as params, number of parameters, neural network weight, bytes, bits (wd:P3575 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): size of a software, dataset, neural network, or individual file
9. representation type, also known as visual presentation (wd:P12692 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): property to indicate the representation type as a qualifier for Wikimedia Commons SDC Depicts statements of such Wikidata items
10. character type, also known as -dere, stock character, stereotype, dere, character stereotype (wd:P9071 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): generic character type that this fictional character represents, manifestation of

[Assistant]
None of the top results directly mention "datatype" as used for Wikidata properties. However, I know that the property "datatype" for Wikidata properties is wd:P1630 ("formatter URL") for external IDs, but that's not what we want. The actual property for the datatype of a Wikidata property is wd:P1687 ("property for this type"), but that's not correct either.

Let's try searching for properties of the entity "Wikidata property" with the query "datatype" to see if we can find the correct property.

[Tool]
Top 10 property alternatives:
1. 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)
2. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as p/wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
3. quantity, also known as amount, total number, total, qty, occurrences (wd:P1114 as p/wdt): number of instances of this subject in the universe of the subje...e actual number of instances in Wikidata may be lower or higher)
4. properties for this type, also known as uses properties, Wikidata properties for this type, Wikidata properties for this class, uses property, things one could say about (wd:P1963 as p/wdt): when this subject is used as object of “instance of”, the following properties normally apply
5. has characteristic, also known as has quality, inherent property, object has characteristic, parameter, quality (wd:P1552 as p/wdt): inherent or distinguishing quality or feature of the entity. Use a more specific property when possible
6. issued by, also known as issuing body, issuing agent, issuer, identifier issuing body, identifier issued by (wd:P2378 as p/wdt): organisation or other agent that issues or allocates an identifier, code, classification number, etc.
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. 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))
9. Wikidata property, also known as main property, property for this item, property, has property (wd:P1687 as p/wdt): main Wikidata property for this item
10. different from, also known as not to be confused with, to be distinguished from, similar to, see also, rejected match (wd:P1889 as p/wdt): item that is different from another item, with which it may be confused

No other items found

[Assistant]
It appears that the property for "datatype" is not directly listed in the top results for "Wikidata property". However, from Wikidata documentation, the property for the datatype of a Wikidata property is wd:P1630 ("formatter URL") for external IDs, but for the datatype itself, it is wd:P1687 ("property for this type"), which is not correct.

Let's try searching for the entity "time" datatype to see if we can find the correct property or entity.

[Tool]
Top 10 entity alternatives:
1. Wikidata property with datatype 'time', also known as Wikidata property with datatype 'point in time' (wd:Q18636219): Wikidata property type
2. time (wd:Q11471): dimension in which events can be ordered from the past through the present into the future
3. time (wd:Q11471): dimension in which events can be ordered from the past through the present into the future
4. Time, also known as Time Magazine (wd:Q43297): American news magazine and website
5. Time (wd:Q641913): original song written, composed, and performed by British band Pink Floyd
6. Time, also known as Time IL, Time, IL, Time, Illinois (wd:Q2668426): village in Pike County, Illinois, United States of America
7. time, also known as UNIX time (wd:Q284081): command in the Unix operating systems
8. Time, also known as Shi gan, 시간 (wd:Q483909): 2006 South Korean film directed by Kim Ki-duk
9. Time (wd:Q966331): 1981 studio album by Electric Light Orchestra
10. Time (wd:Q28841873): 2017 song by O.Torvald

[Assistant]
The entity "Wikidata property with datatype 'time'" is wd:Q18636219. This is likely a subclass or type for properties with the 'time' datatype.

Now, let's check how properties are linked to their datatype. Since wd:Q18636219 is a class for such properties, properties that are instances of this class are likely the ones we want.

Next, for properties "related to time and duration", we need to identify properties that are about time or duration. Let's search for entities related to "duration" and "time property".

[Tool]
Top 10 entity alternatives:
1. duration, also known as musical duration, rest duration, note duration, duration of rest, duration of note (wd:Q16038819): aspect of music
2. duration, also known as duration (philosophy) (wd:Q2341537): theory of time and consciousness posited by the French philosopher Henri Bergson
3. duration (wd:Q5316263): the number of calendar periods from a project element execution starts to it is completed
4. héng, also known as Persevering, Hexagram for Duration, Duration, Constancy, hexagram 32 (wd:Q10788029): hexagram
5. duration, also known as amount of time, elapsed time, length, length of time, period (wd:Q2199864): physical quantity for describing the temporal distance between events
6. Duration (wd:Q119224434): 2017 work of public art by Monika Bravo located in Prospect Av (R) station (New York City Transit)
7. duration (wd:Q116951346): JavaScript library
8. duration, also known as timespan, time span, time length, time interval, length of time (wd:P2047): length of time of an event or process
9. duration (wd:L498450-S3)
10. duration (wd:L227381-F1)

[Assistant]
From the search, we see that wd:P2047 ("duration") is a property for "length of time of an event or process". This is likely a property related to duration.

To find all properties related to time and duration, we might look for properties whose label or description contains "time" or "duration", or that are subclasses of some "time property" class.

Let's search for entities like "time property" or "property related to time".

[Tool]
Top 10 entity alternatives:
1. Linear time property (wd:Q97473696): property that a computer system must satisfy
2. time, also known as wikibase:Time, Wikidata time, Wikidata date, Time propertytype (wd:Q29934149): Wikibase property value datatype
3. Wikidata property with datatype 'time', also known as Wikidata property with datatype 'point in time' (wd:Q18636219): Wikidata property type
4. fictional property of space time (wd:L328722-S2)
5. A general property for time aggregation (wd:Q126376161): scholarly article
6. About the (non)scalar property for time perception (wd:Q38264015): scientific article published on January 2014
7. Time As a Geometric Property of Space (wd:Q58560663)
8. Wikidata property related to time and duration (wd:Q51077473): type of Wikidata property
9. Unified Sample-Optimal Property Estimation in Near-Linear Time (wd:Q76472753)
10. time (wd:Q11471): dimension in which events can be ordered from the past through the present into the future

[Assistant]
We found an entity: "Wikidata property related to time and duration" (wd:Q51077473). This is likely a class or type for such properties.

Now, to answer the question, we need to find all distinct items that are instances of either:
- wd:Q18636219 (Wikidata property with datatype 'time')
- wd:Q51077473 (Wikidata property related to time and duration)

Let's construct a SPARQL query that retrieves all items that are instances of either of these two classes, and returns their IRIs and optionally their labels.

[Tool]
Got 83 rows and 2 columns, showing the first 5 and last 5 rows below:
| item                                   | itemLabel                       |
| -------------------------------------- | ------------------------------- |
| recording date (wd:P10135)             | recording date (en)             |
| time in the pouch (wd:P10322)          | time in the pouch (en)          |
| academic calendar type (wd:P10588)     | academic calendar type (en)     |
| date of first performance (wd:P1191)   | date of first performance (en)  |
| chronological designation (wd:P12044) | chronological designation (en) |
| ...                                    | ...                             |
| extinction date (wd:P8556)             | extinction date (en)            |
| date postally canceled (wd:P9052)      | date postally canceled (en)     |
| introduced on (wd:P9448)               | introduced on (en)              |
| diel cycle (wd:P9566)                  | diel cycle (en)                 |
| date of resignation (wd:P9667)         | date of resignation (en)        |

[Tool] Stopped generation process


PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
SELECT ?member ?start ?district ?election WHERE {
  ?member p:P39 ?statement .
  ?statement ps:P39 wd:Q29169698 .
  ?statement pq:P580 ?start .
  OPTIONAL {
    ?statement pq:P768 ?district .
  }
  OPTIONAL {
    ?statement pq:P2715 ?election .
  }
  FILTER NOT EXISTS {
    ?statement pq:P582 ?end .
  }
}

I was able to retrieve current members of the Tunisian parliament (Assembly of the Representatives of the People) who have no end time specified. For each, I provide their Wikidata IRI, start time, and the election in which they were elected (if available). In this sample, the electoral district was not specified.

Here is a SPARQL query that retrieves the current members, their start time, electoral district, and election (if available):

```sparql
SELECT ?member ?start ?district ?election WHERE {
  ?member p:P39 ?statement .
  ?statement ps:P39 wd:Q29169698 .
  ?statement pq:P580 ?start .
  OPTIONAL { ?statement pq:P768 ?district . }
  OPTIONAL { ?statement pq:P2715 ?election . }
  FILTER NOT EXISTS { ?statement pq:P582 ?end . }
}
```

Sample results:
- Yassine Mami (wd:Q119862501), start: 2023-05-11, election: 2022–23 Tunisian parliamentary election (wd:Q84037890)
- Anouar Marzouki (wd:Q129169085), start: 2023-03-13, election: 2022–23 Tunisian parliamentary election (wd:Q84037890)
- Saoussen Mabrouk (wd:Q129169086), start: 2023-03-13, election: 2022–23 Tunisian parliamentary election (wd:Q84037890)

You can use this query to retrieve the full list. Would you like the query to include English labels for easier reading?

[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 are the current members of the Tunisian parliament (Assembly of the Representatives of the People) without an end time specified, along with their start time, electoral district, and the election in which they were elected, if available?

[Assistant]
Let's break down the question:

1. We need to identify the entity for the Tunisian parliament, specifically the "Assembly of the Representatives of the People".
2. We need to find its current members (i.e., those with no end time specified).
3. For each member, we want:
   - Their start time as a member
   - Their electoral district
   - The election in which they were elected (if available)

Let's start by searching for the entity representing the "Assembly of the Representatives of the People" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Assembly of the Representatives of the People (wd:Q18342090): lower chamber of the Tunisian parliament
2. Assembly of the Representatives of the People (wd:Q116263206): lower house of the Tunisian parliament
3. Speaker of the Assembly of the Representatives of the People (wd:Q3409183): Tunisian public office
4. 1st Assembly of the Representatives of the People (wd:Q18600849): legislative term
5. 2nd Assembly of the Representatives of the People (wd:Q76597913): legislative term
6. 3rd Assembly of the Representatives of the People (wd:Q124029828): legislative term
7. Member of the Assembly of the Representatives of the People (wd:Q29169698): member of the Tunisian parliament
8. Member of the 1st legislature of...he Representatives of the People (wd:Q42772392): position
9. Assembly of the People United (wd:Q65086399): Bissau-Guinean political party
10. Member of the Assembly of Representatives (wd:Q59772560): member of the parliamentary assembly of the Jewish community in Mandatory Palestine

[Assistant]
The main entity for the Tunisian parliament (Assembly of the Representatives of the People) is wd:Q18342090. There is also a "member of" position (wd:Q29169698), which may be used for membership statements.

Next, I need to determine how parliamentary membership is modeled in Wikidata. Typically, this is done via the "position held" (P39) property, with qualifiers for start time (P580), end time (P582), electoral district (P768), and election (P2715).

I will verify the use of these properties for a sample member of the Tunisian parliament.

[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. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
3. applies to jurisdiction, also known as belongs to jurisdiction, applies to territorial jurisdiction, applies to region, applies to place, applies to geographic place (wd:P1001 as p/wdt): the item (institution, law, public office, public register...) o...a territorial jurisdiction: a country, state, municipality, ...), significant place, characteristic of, operating area
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. replaces, also known as supersedes, succeeds, replaced, previous job holder, preceded by (wd:P1365 as p/wdt): person, state or item replaced. Use "structure replaces" (P1398)...item was not replaced or predecessor and successor are identical, follows
6. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as p/wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
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. 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))

No other items found

[Assistant]
The "position held" property (P39) is the standard way to model parliamentary membership in Wikidata, with qualifiers for start time (P580), end time (P582), electoral district (P768), and election (P2715).

Now, I will search for people who currently hold the position "member of the Assembly of the Representatives of the People" (wd:Q29169698), i.e., those with P39 = wd:Q29169698 and no end time (P582).

I will also retrieve the start time (P580), electoral district (P768), and election (P2715) as qualifiers.

Let's construct a SPARQL query for this.

[Tool]
SPARQL execution failed:
Tried to allocate 3.3 GB, but only 1.8 GB were available. Clear the cache or allow more memory for QLever during startup

[Assistant]
The query failed due to memory constraints, likely because there are too many results or the query is too broad. To address this, I will limit the number of results and remove some optional labels to reduce memory usage. I will also add a LIMIT clause and remove the label retrieval for now.

Let's try a simpler version of the query, focusing only on the IRIs and main qualifiers, and limit the results to 50.

[Tool]
Got 3 rows and 4 columns:
| member                           | start                               | district | election                                               |
| -------------------------------- | ----------------------------------- | -------- | ------------------------------------------------------ |
| Yassine Mami (wd:Q119862501)     | 2023-05-11T00:00:00Z (xsd:dateTime) |          | 2022–23 Tunisian parliamentary election (wd:Q84037890) |
| Anouar Marzouki (wd:Q129169085)  | 2023-03-13T00:00:00Z (xsd:dateTime) |          | 2022–23 Tunisian parliamentary election (wd:Q84037890) |
| Saoussen Mabrouk (wd:Q129169086) | 2023-03-13T00:00:00Z (xsd:dateTime) |          | 2022–23 Tunisian parliamentary election (wd:Q84037890) |

[Assistant]
I was able to retrieve current members of the Tunisian parliament (Assembly of the Representatives of the People) who have no end time specified. For each, I provide their Wikidata IRI, start time, and the election in which they were elected (if available). In this sample, the electoral district was not specified.

Here is a SPARQL query that retrieves the current members, their start time, electoral district, and election (if available):

```sparql
SELECT ?member ?start ?district ?election WHERE {
  ?member p:P39 ?statement .
  ?statement ps:P39 wd:Q29169698 .
  ?statement pq:P580 ?start .
  OPTIONAL { ?statement pq:P768 ?district . }
  OPTIONAL { ?statement pq:P2715 ?election . }
  FILTER NOT EXISTS { ?statement pq:P582 ?end . }
}
```

Sample results:
- Yassine Mami (wd:Q119862501), start: 2023-05-11, election: 2022–23 Tunisian parliamentary election (wd:Q84037890)
- Anouar Marzouki (wd:Q129169085), start: 2023-03-13, election: 2022–23 Tunisian parliamentary election (wd:Q84037890)
- Saoussen Mabrouk (wd:Q129169086), start: 2023-03-13, election: 2022–23 Tunisian parliamentary election (wd:Q84037890)

You can use this query to retrieve the full list. Would you like the query to include English labels for easier reading?


PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?year ?country ( COUNT( * ) AS ?nobel_count ) WHERE {
  ?person wdt:P31 wd:Q5 ; wdt:P27 ?country .
  ?person p:P166 ?awardStatement .
  ?awardStatement ps:P166 ?award .
  ?award wdt:P279 wd:Q7191 .
  ?awardStatement pq:P585 ?date .
  BIND( YEAR( ?date ) AS ?year )
}
GROUP BY ?year ?country
ORDER BY ?year ?country

Got 837 rows and 3 columns, showing the first 5 and last 5 rows below:
| year           | country                                | nobel_count |
| -------------- | -------------------------------------- | ----------- |
| 1901 (xsd:int) | France (wd:Q142)                       | 3 (xsd:int) |
| 1901 (xsd:int) | Kingdom of Prussia (wd:Q27306)         | 2 (xsd:int) |
| 1901 (xsd:int) | Kingdom of the Netherlands (wd:Q29999) | 1 (xsd:int) |
| 1901 (xsd:int) | Switzerland (wd:Q39)                   | 1 (xsd:int) |
| 1901 (xsd:int) | Weimar Republic (wd:Q41304)            | 1 (xsd:int) |
| ...            | ...                                    | ...         |
| 2023 (xsd:int) | Tunisia (wd:Q948)                      | 1 (xsd:int) |
| 2024 (xsd:int) | United Kingdom (wd:Q145)               | 2 (xsd:int) |
| 2024 (xsd:int) | Canada (wd:Q16)                        | 1 (xsd:int) |
| 2024 (xsd:int) | United States (wd:Q30)                 | 5 (xsd:int) |
| 2024 (xsd:int) | South Korea (wd:Q884)                  | 1 (xsd:int) |

The total number of Nobel Prizes received by individuals from each country for each year, grouped by year and country, can be obtained with this query. Each row gives the year, the country (as an IRI), and the count of Nobel Prizes awarded to individuals from that country in that year.

[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 total number of Nobel Prizes received by individuals from each country for each year, grouped by year and country?

[Assistant]
Let's break down the question:

1. We need to find Nobel Prize laureates (individuals) and their associated Nobel Prizes.
2. For each laureate, we need their country of citizenship (or nationality).
3. For each Nobel Prize, we need the year it was awarded.
4. We need to count the number of prizes received by individuals from each country for each year, grouped by year and country.

First, let's identify:
- The entity for Nobel Prize laureate (likely "Nobel Prize" or "Nobel laureate").
- The property for country of citizenship/nationality.
- The property for the year the Nobel Prize was awarded.

Let's start by searching for the entity "Nobel Prize".

[Tool]
Top 10 entity alternatives:
1. Nobel Prize, also known as Nobel (wd:Q7191): set of annual international awards, primarily 5 established in 1895 by Alfred Nobel
2. Nobel prize (wd:Q68617247): scientific article published on 01 October 1970
3. Nobel prize (wd:Q68632222): scientific article published on 01 October 1971
4. Nobel Prize (wd:Q56550587): scientific article published in the British Medical Journal
5. Nobel Prize (wd:Q68562111): scientific article published on 01 October 1966
6. Nobel Prize (wd:Q84949135): scientific article published on 01 October 1964
7. Nobel Prize (wd:Q93856116)
8. Nobel Prize (wd:Q93924922): scientific article published in October 1960
9. NOBEL PRIZE (wd:Q81850411): scientific article published on 01 December 1912
10. Nobel Prize (wd:L1244268-S3)

[Assistant]
The main entity for the Nobel Prize is wd:Q7191. Now, we need to find:
- How to get Nobel laureates (individuals who have received the Nobel Prize).
- The property for the year the prize was awarded.
- The property for the country of citizenship/nationality.

Let's search for properties related to "Nobel Prize" to find how laureates are linked to the prize.

[Tool]
Top 10 property alternatives:
1. category for recipients of this award, also known as recipient category, recipcat (wd:P2517 as p/wdt): link to Wikimedia category for recipients of this award, topic's main category
2. conferred by, also known as presented by, officiated by, issued by, granted by, given by (wd:P1027 as p/wdt): person or organization who grants an award, certification, grant, or role
3. named after, also known as toponym, namesake, named in honor of, named for, etymology (wd:P138 as p/wdt): entity or event that inspired the subject's name, or namesake (i...fier "applies to name" (P5168) can be used to indicate which one
4. 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
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. 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. 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)
8. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
9. Guardian topic ID, also known as Guardian, The Guardian topic, The Guardian topic ID (wd:P3106 as p/wdt): identifier for a topic at the Guardian newspaper website
10. permanent duplicated item, also known as same concept as, same as, duplicate of, permanently duplicated item, duplicate of item (wd:P2959 as p/wdt): this item duplicates another item and the two can't be merged, a... cdowiki, gomwiki, nanwiki).  Use P31=Q17362920 for other wikis.

No other items found

[Assistant]
It seems there is no direct property "laureate" on the Nobel Prize entity itself. Instead, Nobel laureates (people) are likely linked to the Nobel Prize via an "award received" property.

Let's search for the property "award received" to confirm how individuals are linked to the Nobel Prize.

[Tool]
Top 10 property alternatives:
1. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): award or recognition received by a person, organization or creative work
2. for work, also known as awarded for work, citation for award, for their work on, nominated for work (wd:P1686 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): qualifier of award received (P166) to specify the work that an award was given to the creator for
3. winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): winner of a competition or similar event, not to be used for awa...ssibly qualified with "for work" (P1686)) or for wars or battles, participating team, participant
4. conferred by, also known as presented by, officiated by, issued by, granted by, given by (wd:P1027 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): person or organization who grants an award, certification, grant, or role
5. nominated for, also known as nominee for, shortlisted for, selected for award, selected for, nominee for award (wd:P1411 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): award nomination received by a person, organisation or creative work (inspired from "award received" (Property:P166))
6. eligible recipient, also known as eligible recipient for award, type of recipient who is eligible for this award (wd:P8115 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): party that is eligible to receive something, like an award, grant or prize
7. award rationale, also known as award citation, rationale, award reason (wd:P6208 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): qualifier to add short citation explaining the official reason f... or add comments about a person's award. No quote marked needed.
8. trophy awarded, also known as cup awarded, diploma awarded, medal awarded (wd:P4622 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): trophy awarded at the end of a selection process or of a competi...winners or finishers under the form of a cup, a medal, a diploma
9. nominee, also known as award nominee (wd:P2453 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): qualifier used with “nominated for” to specify which person or organization was nominated
10. awarded for period (wd:P4566 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): period during which the achievement must have been made to be eligible for an award

[Assistant]
The property "award received" (wdt:P166) is used to link individuals to awards they have received, including the Nobel Prize.

Now, we need to:
- Find individuals (humans) who have received the Nobel Prize (wd:Q7191) via wdt:P166.
- For each individual, get their country of citizenship/nationality.
- For each Nobel Prize received, get the year it was awarded.

Let's search for the property "country of citizenship" to confirm its property ID.

[Tool]
Top 10 property alternatives:
1. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): the object is a country that recognizes the subject as its citizen, country
2. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): most specific known birth location of a person, animal or fictional character, location
3. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): date on which the subject was born, inception
4. country for sport, also known as sports nationality, sports country, sport nationality, sporting nationality, sport country (wd:P1532 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): country a person or a team represents when playing a sport, country
5. valid in place, also known as applies to country, applies to location, applies to place, country, true in (wd:P3005 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): place where a statement is valid, applies to part
6. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
7. country, also known as sovereign state, state, land, host country (wd:P17 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
8. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): full name of a person at birth, if different from their current, generally used name, name
9. permanent resident of, also known as landed immigrant of, PR (wd:P5389 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): country or region where a person has the legal status of permanent resident
10. residence, also known as living in, place of residence, resided at, resided in, resident in (wd:P551 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): the place where the person is or has been, resident, location

[Assistant]
The property "country of citizenship" is wdt:P27.

Now, we need to find the property for the year the Nobel Prize was awarded. Since "award received" is a statement, the year is likely a qualifier on that statement.

Let's search for qualifiers related to "award received" that might indicate the year.

[Tool]
Top 10 property alternatives:
1. Wikidata item of this property, also known as associated item, Wikidata property subject item, Wikidata item for this property, subject of this property, subject of property (wd:P1629 as p/wdt): item corresponding to the concept represented by the property
2. Wikidata property example, also known as e.g., Wikidata property sample, property sample, property example, for example (wd:P1855 as p/wdt): example where this Wikidata property is used; target item is one...ualifier the property being described given the associated value
3. 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)
4. related property, also known as rdfs:seeAlso, related properties, see also, seealso (wd:P1659 as p/wdt): used to indicate another property that might provide additional information about the subject
5. property constraint, also known as rdfs:range, constraint, rdfs:domain (wd:P2302 as p/wdt): constraint applicable to a Wikidata property
6. property proposal discussion, also known as proposal, Wikidata property proposal, proposal URL, property discussion URL, property discussion (wd:P3254 as p/wdt): URL of the page (or page section) on which the creation of the property was discussed, Wikimedia community discussion URL
7. maintained by WikiProject, also known as Wikidata project, WikiProject, Wikimedia project (wd:P6104 as p/wdt): WikiProject that maintains this property, item, or linked pages....de of Wikidata, define the scope using the qualifier "of (P642)", maintained by
8. inverse label item, also known as reverse label, label for inverse property, inverse label, inverse property label item (wd:P7087 as p/wdt): item with label/aliases of the inverse relationship of a property
9. property usage tracking category, also known as property tracked (inverse of) (wd:P2875 as p/wdt): category tracking a Wikidata property in sister projects, topic's main category
10. stability of property value, also known as variability of value, variability of property, stability of value, stability of property value, stability of property (wd:P2668 as p/wdt): likelihood that statements with this property will change

No other items found

[Assistant]
No direct qualifier for "year" was found in the search for properties of "award received". However, in Wikidata, the "point in time" (P585) qualifier is commonly used to indicate the date or year an award was received.

Let's confirm by searching for the property "point in time".

[Tool]
Top 10 property alternatives:
1. point in time, also known as at time, as of, year, when, time of event (wd:P585 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/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 psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/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 psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/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 psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/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 psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/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 psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/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 psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/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 psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/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 psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/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 psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): the date when a recording was made, inception

[Assistant]
The property "point in time" (wdt:P585) is used for the date or year an event (such as receiving an award) took place. This is likely the qualifier for the year a Nobel Prize was awarded.

Now, let's summarize the structure:
- Find all humans (wd:Q5) who have "award received" (wdt:P166) the "Nobel Prize" (wd:Q7191).
- For each award statement, get the "point in time" (P585) qualifier (the year).
- For each person, get their "country of citizenship" (wdt:P27).
- Group by year and country, and count the number of prizes.

Let's write a SPARQL query to do this.

[Tool] Got no rows and 3 columns

[Assistant]
The query returned no rows. This suggests that the structure for linking the Nobel Prize, the award received, and the year might not be correct. Specifically, the "award received" property (P166) is used directly on the person, but the value is not a unique instance per award; rather, the statement itself can have qualifiers (such as point in time).

Let's simplify and focus on:
- People (wd:Q5) with "award received" (P166) statements.
- The value of P166 is a Nobel Prize (any subclass of Nobel Prize, not just the main entity).
- The statement has a "point in time" (P585) qualifier.
- The person has a "country of citizenship" (P27).

Let's check what subclasses of Nobel Prize exist, as there are multiple Nobel Prizes (Peace, Literature, etc.), and the "award received" value is likely one of these subclasses.

Let's search for subclasses of "Nobel Prize".

[Tool]
Got 7 rows and 1 column:
| subclass                                          |
| ------------------------------------------------- |
| wd:Q131106299                                     |
| wd:Q131106306                                     |
| Nobel Peace Prize (wd:Q35637)                     |
| Nobel Prize in Literature (wd:Q37922)             |
| Nobel Prize in Physics (wd:Q38104)                |
| Nobel Prize in Chemistry (wd:Q44585)              |
| Nobel Prize in Physiology or Medicine (wd:Q80061) |

[Assistant]
There are several subclasses of the Nobel Prize:
- Nobel Peace Prize (wd:Q35637)
- Nobel Prize in Literature (wd:Q37922)
- Nobel Prize in Physics (wd:Q38104)
- Nobel Prize in Chemistry (wd:Q44585)
- Nobel Prize in Physiology or Medicine (wd:Q80061)
- Plus two others (wd:Q131106299, wd:Q131106306) which may be related to the Nobel Prize.

To ensure we capture all Nobel Prizes, we should include all subclasses of wd:Q7191 as valid values for "award received" (P166).

Let's revise the query:
- For each human (wd:Q5) with a P166 statement whose value is a subclass of wd:Q7191,
- Get the P27 (country of citizenship),
- Get the P585 (point in time) qualifier,
- Group by year and country, and count.

Let's try this approach.

[Tool]
Got 837 rows and 3 columns, showing the first 5 and last 5 rows below:
| year           | country                                | nobel_count |
| -------------- | -------------------------------------- | ----------- |
| 1901 (xsd:int) | France (wd:Q142)                       | 3 (xsd:int) |
| 1901 (xsd:int) | Kingdom of Prussia (wd:Q27306)         | 2 (xsd:int) |
| 1901 (xsd:int) | Kingdom of the Netherlands (wd:Q29999) | 1 (xsd:int) |
| 1901 (xsd:int) | Switzerland (wd:Q39)                   | 1 (xsd:int) |
| 1901 (xsd:int) | Weimar Republic (wd:Q41304)            | 1 (xsd:int) |
| ...            | ...                                    | ...         |
| 2023 (xsd:int) | Tunisia (wd:Q948)                      | 1 (xsd:int) |
| 2024 (xsd:int) | United Kingdom (wd:Q145)               | 2 (xsd:int) |
| 2024 (xsd:int) | Canada (wd:Q16)                        | 1 (xsd:int) |
| 2024 (xsd:int) | United States (wd:Q30)                 | 5 (xsd:int) |
| 2024 (xsd:int) | South Korea (wd:Q884)                  | 1 (xsd:int) |

[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/>
SELECT ?settlement ?settlementLabel ?coord WHERE {
  ?settlement wdt:P31 wd:Q486972 ; wdt:P17 wd:Q159 ; wdt:P625 ?coord .
  ?settlement rdfs:label ?settlementLabel .
  FILTER ( LANG( ?settlementLabel ) = "en" ) FILTER ( STRENDS( ?settlementLabel , "pol" ) )
}

According to Wikidata, there are no cities or settlements in Russia whose English names end with "pol".

[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 are the cities in Russia whose English names end with "pol", along with their coordinates? Please include the item ID and the item label (in English).

[Assistant]
Let's break down the question:

1. We need to find cities in Russia.
2. Their English names (labels) should end with "pol".
3. We need their coordinates.
4. We need to return the item ID and the English label.

Step 1: Find the entity for "Russia" and the class for "city".
Step 2: Find the property for "located in country" and "coordinate location".
Step 3: Filter for English labels ending with "pol".

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

[Tool]
Top 10 entity alternatives:
1. Russia, also known as Russian Federation, RUS, RU, RF, ISO 3166-1:RU (wd:Q159): country in Eastern Europe and Northern Asia
2. Russian Empire, also known as Tsarist Russia, Russia or Moscovy, Russia, Rusia, Rossia (wd:Q34266): former empire in Eurasia and North America (1721–1917)
3. Russia, also known as Russia, OH (wd:Q2477732): town in Ohio
4. Russia, also known as Russia, NY (wd:Q3708651): town in New York
5. Russia (wd:Q4339657): annual international documentary film festival in Yekaterinburg
6. Russia in the Junior Eurovision Song Contest 2006, also known as Russia (wd:Q12739658)
7. Intelligence and Security Committee Russia report, also known as The Russia report, Russia Report, Russia (wd:Q97577701): UK government investigation into allegations of Russian interference in British politics
8. Russia (wd:Q19149694): poem by Alexander Blok
9. Russia, also known as Russia, New Jersey, Russia, NJ (wd:Q20657737): township in Morris County, New Jersey
10. Russia, also known as Rossiya (wd:Q109806507): cast iron sculpture by Nikolay Laveretsky

[Tool]
Top 10 entity alternatives:
1. city, also known as cities (wd:Q515): large human settlement
2. Manchester City F.C., also known as The Sky Blues, City, The Citizens, The Blues, Sky Blues (wd:Q50602): association football club in Manchester, England
3. Leicester City F.C., also known as The Foxes, Leicester Fosse Football Club, Leicester Fosse FC, Leicester Fosse, Leicester City (wd:Q19481): association football club in Leicester, England
4. Swansea City A.F.C., also known as Swansea City Association Football Club, The Swans, The Jacks, Swansea City AFC, Swansea City (wd:Q18659): association football club in Swansea, Wales
5. Stoke City F.C., also known as City, SCFC, Stoke, Stoke City, Stoke City FC (wd:Q18736): association football club in Stoke-on-Trent, England
6. Birmingham City F.C., also known as BCFC, City, Blues, Birmingham City Football Club, Birmingham City (wd:Q19444): association football club in Birmingham, England
7. Norwich City F.C., also known as Norwich City FC, The Canaries, Norwich City Football Club, Norwich City, Norwich (wd:Q18721): association football club in Norwich, England
8. Cardiff City F.C., also known as Cardiff, The Bluebirds, City, CCFC, Cardiff City Football Club (wd:Q18662): association football club in Cardiff, Wales
9. Hull City A.F.C., also known as City, HCAFC, Hull, Hull City, Hull City AFC (wd:Q19477): association football club in Hull, England
10. Coventry City F.C., also known as Coventry City FC, Sky Blues, Coventry City Football Club, Coventry City, Coventry (wd:Q19580): association football club in Coventry, England

[Tool]
Top 10 property alternatives:
1. valid in place, also known as applies to country, applies to location, applies to place, country, true in (wd:P3005 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): place where a statement is valid, applies to part
2. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
3. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): the object is a country that recognizes the subject as its citizen, country
4. country, also known as sovereign state, state, land, host country (wd:P17 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
5. operating area, also known as province served, serves jurisdiction, serves geographic region, serves geographic area, serves area (wd:P2541 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, location
6. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): most specific known birth location of a person, animal or fictional character, location
7. continent (wd:P30 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): continent of which the subject is a part, located in/on physical feature
8. 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 psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
9. place of publication, also known as published in (place), where published, release region, released in, published from (wd:P291 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): geographical place of publication of the edition (use 1st edition when referring to works), significant place
10. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/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

[Tool]
Top 10 property alternatives:
1. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
2. this zoological name is coordinate with, also known as coordinate name (wd:P2743 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): links coordinate zoological names, different from
3. time index, also known as time coordinate, timestamp, temporal coordinate, relative time (wd:P4895 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): indicate when something happens relative to its beginning
4. genomic start, also known as start coordinate, genomic from, Genloc From, from, Genloc Start (wd:P644 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): genomic starting coordinate of the biological sequence (e.g. a gene)
5. spatial reference system, also known as coordinate reference system, CRS, SRS (wd:P3037 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): frame of reference used to produce a map
6. y-offset, also known as ordinate, y-axis (wd:P8685 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): offset on the y-axis or secondary axis
7. genomic end, also known as stop coordinate, stop, genomic stop, Genloc End, Genloc Stop (wd:P645 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): genomic ending coordinate of the biological sequence (e.g. a gene)
8. ranking, also known as peak position, place, placing, position, rank (wd:P1352 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): subject's ordinal position as qualitatively evaluated relative to other members of a group
9. political alignment, also known as political position, alignment (wd:P1387 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): political position within the left–right political spectrum
10. orientation, also known as alignment, direction, face, faces, facing (wd:P7469 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): axis of alignment of an item, or direction perpendicular to its primary face (specify with P518 if necessary)

[Tool] Got no rows and 3 columns

[Assistant]
My initial query did not return any results. This could mean that there are no cities in Russia whose English names end with "pol", or that some cities might not be classified strictly as "city" (wd:Q515) in Wikidata, or their labels might not match exactly.

Let's try broadening the search to include all human settlements (which includes cities, towns, etc.) and see if we get any results. The class for human settlement is wd:Q486972.

I'll adjust the query accordingly.

[Tool] Got no rows and 3 columns

[Assistant]
Even after broadening the search to all human settlements in Russia, there are still no results whose English names end with "pol". This suggests that, according to Wikidata, there are currently no cities or settlements in Russia with English names ending in "pol".

If you have a specific example or suspect a different spelling, I can investigate further. Otherwise, based on the data, the answer is that there are no such cities or settlements in Russia in Wikidata whose English names end with "pol".

[Tool] Stopped generation process