PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?event ?date WHERE {
  ?event wdt:P31 wd:Q11924610 ; wdt:P585 ?date .
  FILTER ( YEAR( ?date ) = 2020 )
}

Wikidata does not contain structured data for the detailed race results (top 3 finishers and their ages) for the 2020 Formula One World Championship events. The events themselves and their dates are present, but the participant results and positions are not modeled in a way that allows for querying the top 3 finishers and their ages. Therefore, it is not possible to answer the question with a SPARQL query using the current Wikidata dataset.

[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 events in the 2020 Formula One World Championship, along with the event times and the sum of the ages of the participants who ranked 1st, 2nd, or 3rd in each event?

[Assistant]
Let's break down the question:

1. **Identify the 2020 Formula One World Championship**: We need the entity for this championship.
2. **Find its events**: These are the individual races (Grands Prix) in the championship.
3. **For each event, get the event time**: This could be the date or start time.
4. **For each event, find participants who ranked 1st, 2nd, or 3rd**: We need to find the participants and their ranks.
5. **For each such participant, get their age at the time of the event**: This requires birth date and event date.
6. **Sum the ages for each event**: For the top 3 finishers.

Let's proceed step by step.

---

**Step 1: Search for the 2020 Formula One World Championship entity.**

[Tool]
Top 10 entity alternatives:
1. 2020 Formula One World Championship, also known as 2020 FIA Formula One Championship, 2020 FIA Formula One World Championship, 2020 Formula One Championship, 2020 Formula One season (wd:Q41174436): 71st running of the Formula One World Championship
2. 2020 Formula One World Drivers' Championship, also known as 2020 FIA Formula One drivers' championship, 2020 FIA Formula One World Drivers' Championship, 2020 Formula One drivers' championship (wd:Q108861640): auto racing championship held in 2020
3. 2020 Formula One World Constructors' Championship, also known as 2020 FIA Formula One Constructors' Championship, 2020 FIA Formula One World Constructors' Championship, 2020 Formula One constructors' championship, 2020 Formula One teams' championship (wd:Q108861762): auto racing championship held in 2020
4. Formula One, also known as F1, FIA Formula One World Championship, Formula 1, The Formula One race team (wd:Q1968): motorsport championship held worldwide
5. 2007 Formula One World Championship, also known as 2007 Formula One season, 2007 FIA Formula One World Championship, 2007 FIA Formula One Championship, 2007 Formula One Championship (wd:Q69901): 61st season of Formula One motor racing
6. 2010 Formula One World Championship, also known as 2010 FIA Formula One Championship, 2010 FIA Formula One World Championship, 2010 Formula One Championship, 2010 Formula One season (wd:Q69934): 64th season of Formula One motor racing
7. 2011 Formula One World Championship, also known as 2011 Formula One Championship, 2011 Formula One season, 2011 FIA Formula One World Championship, 2011 FIA Formula One Championship (wd:Q69943): 62nd season of Formula One motor racing
8. 2014 Formula One World Championship, also known as 2014 FIA Formula One Championship, 2014 FIA Formula One World Championship, 2014 Formula One Championship, 2014 Formula One season (wd:Q69969): 65th season of Formula One motor racing
9. 2012 Formula One World Championship, also known as 2012 FIA Formula One Championship, 2012 FIA Formula One World Championship, 2012 Formula One Championship, 2012 Formula One season (wd:Q69959): 63rd season of Formula One motor racing
10. 2006 Formula One World Championship, also known as 2006 Formula One season, 2006 Formula season, 2006 Formula One Championship, 2006 FIA Formula One World Championship, 2006 FIA Formula One Championship (wd:Q69893): 60th season of Formula One motor racing

[Assistant]
The correct entity for the 2020 Formula One World Championship is wd:Q41174436.

Next, we need to find the events (races) that are part of this championship. These are typically linked by properties such as "has part" or "contains event".

**Step 2: Search for properties of wd:Q41174436 related to events or races.**

[Tool]
Top 10 property alternatives:
1. point in time, also known as at time, as of, year, when, time of event (wd:P585 as p/wdt): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
2. edition number, also known as number of event, software version number, version number (wd:P393 as p/wdt): number of an edition (first, second, ... as 1, 2, ...) or event, series ordinal
3. organizer, also known as promoter, presenter, organizing body, organized by, organising body (wd:P664 as p/wdt): person or institution organizing an event
4. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
5. sports season of league or competition, also known as sport season, seasons of, edition of annual athletics meeting, season of sports tournament, season of sports league (wd:P3450 as p/wdt): property that shows the competition of which the item is a season. Use P5138 for "season of club or team"., part of
6. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as p/wdt): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
7. number of matches played/races/starts, also known as gp, starts, races, number of games played, mp (wd:P1350 as p/wdt): matches or games a player or a team played during an event. Also...matches a player officially appeared in during the whole career.
8. start time, also known as start date, since, valid, join time, joined (wd:P580 as p/wdt): time an entity begins to exist or a statement starts being valid, point in time
9. winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as p/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
10. sport, also known as play, plays, sport played, sports (wd:P641 as p/wdt): sport that the subject participates or participated in or is associated with

No other items found

[Assistant]
None of the properties directly mention "has part" or "contains event", but "sports season of league or competition" (wd:P3450) might be relevant, though it usually points from the event to the season, not the other way around.

Let's check if the individual races (Grands Prix) are linked to the championship via "sports season of league or competition" (wd:P3450).

**Step 3: List triples where property is "sports season of league or competition" (wd:P3450) and object is wd:Q41174436, to find the events (races) in the 2020 championship.**

[Tool] Got no rows and 3 columns

[Assistant]
It appears that there are no direct links from events to the 2020 Formula One World Championship using the "sports season of league or competition" property (wd:P3450).

Let's try another approach. Formula One races are often called "Grand Prix" and may be instances of "Formula One Grand Prix" or similar. Let's search for events (entities) that are part of the 2020 Formula One World Championship.

**Step 4: Search for properties of wd:Q41174436 related to "part" or "contains".**

[Tool]
Top 10 property alternatives:
1. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as p/wdt): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).
2. 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)
3. end time, also known as ends, stop time, endtime, fall date, ineffective (wd:P582 as p/wdt): moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true, point in time
4. start time, also known as start date, since, valid, join time, joined (wd:P580 as p/wdt): time an entity begins to exist or a statement starts being valid, point in time
5. 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
6. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
7. number of matches played/races/starts, also known as gp, starts, races, number of games played, mp (wd:P1350 as p/wdt): matches or games a player or a team played during an event. Also...matches a player officially appeared in during the whole career.
8. point in time, also known as at time, as of, year, when, time of event (wd:P585 as p/wdt): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
9. followed by, also known as continued as, then, successor, succeeded by, sequel is (wd:P156 as p/wdt): immediately following item in a series of which the subject is a...een replaced, e.g. political offices, use "replaced by" (P1366)]

No other items found

[Tool] Got no rows and 3 columns

[Assistant]
It seems the "has part(s)" (wd:P527) property is not used to link the 2020 Formula One World Championship to its events in Wikidata.

Let's try a different approach: search for "Formula One Grand Prix" events that took place in 2020. These should be instances of "Formula One Grand Prix" and have a date in 2020.

**Step 5: Search for the entity "Formula One Grand Prix" to use as a class for races.**

[Tool]
Top 10 entity alternatives:
1. Formula One Grand Prix, also known as F1 Grand Prix (wd:Q11924610)
2. Formula One Grand Prix, also known as Grand Prix 1, World Circuit (wd:Q1939440): 1992 video game
3. 2022 Australian Grand Prix, also known as 2022 Formula One Australian Grand Prix (wd:Q111228281): Formula One motor race
4. F-1 World Grand Prix II, also known as F-1 World Grand Prix2, Formula One World Grand Prix II, World Grand Prix II (wd:Q743841): 1999 video game
5. Onyx Grand Prix, also known as Onyx Grand Prix F1 team, Onyx Grand Prix Formula One team (wd:Q108906132): Formula One team
6. 2012 British Grand Prix, also known as 2012 Formula One Santander British Grand Prix (wd:Q173155): Formula One motor race held in 2012
7. 1949 Formula One Grand Prix des Frontières (wd:Q4723968): motor car race
8. structure of the Formula One Grand Prix (wd:Q65746180)
9. Mark Webber wins 2009 German Formula One Grand Prix (wd:Q17610807): Wikinews article
10. Formula One: Jenson Button wins 2010 Chinese Grand Prix (wd:Q18021351): Wikinews article

[Assistant]
The correct entity for the class of Formula One races is wd:Q11924610 ("Formula One Grand Prix").

Now, let's find all instances of wd:Q11924610 that took place in 2020. We'll also try to get their event time.

**Step 6: Query for all instances of wd:Q11924610 with a point in time (wdt:P585) in 2020.**

[Tool]
Got 5 rows and 1 column:
| event                                      |
| ------------------------------------------ |
| 2020 Bahrain Grand Prix (wd:Q67123905)     |
| 2020 Vietnamese Grand Prix (wd:Q67123906)  |
| 2020 Styrian Grand Prix (wd:Q95994243)     |
| 70th Anniversary Grand Prix (wd:Q96088886) |
| 2020 Abu Dhabi Grand Prix (wd:Q98774921)   |

[Assistant]
We have found several 2020 Formula One Grand Prix events:

- 2020 Bahrain Grand Prix (wd:Q67123905)
- 2020 Vietnamese Grand Prix (wd:Q67123906)
- 2020 Styrian Grand Prix (wd:Q95994243)
- 70th Anniversary Grand Prix (wd:Q96088886)
- 2020 Abu Dhabi Grand Prix (wd:Q98774921)

Let's also retrieve the event times (dates) for these events, and then proceed to find the top 3 finishers for each event.

**Step 7: For these events, retrieve their event times (wdt:P585).**

[Tool]
Got 5 rows and 2 columns:
| event                                      | date                                |
| ------------------------------------------ | ----------------------------------- |
| 2020 Bahrain Grand Prix (wd:Q67123905)     | 2020-11-29T00:00:00Z (xsd:dateTime) |
| 2020 Vietnamese Grand Prix (wd:Q67123906)  | 2020-04-05T00:00:00Z (xsd:dateTime) |
| 2020 Styrian Grand Prix (wd:Q95994243)     | 2020-07-12T00:00:00Z (xsd:dateTime) |
| 70th Anniversary Grand Prix (wd:Q96088886) | 2020-08-09T00:00:00Z (xsd:dateTime) |
| 2020 Abu Dhabi Grand Prix (wd:Q98774921)   | 2020-12-13T00:00:00Z (xsd:dateTime) |

[Assistant]
We have the event times for each Grand Prix. Next, we need to find the participants who ranked 1st, 2nd, or 3rd in each event.

This information is typically stored using properties like "participant", "ranking", or "position held". Let's search for properties of one of these events related to participants and their ranks.

**Step 8: Search for properties of 2020 Bahrain Grand Prix (wd:Q67123905) related to participants, ranking, or position.**

[Tool]
Top 10 property alternatives:
1. winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as p/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
2. official name, also known as long title, name, official title, registered name, full title (wd:P1448 as p/wdt): official name of the subject in its official language(s), name
3. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as p/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
4. pole position (wd:P3764 as p/wdt): person, who starts race at first row (leader in the starting grid), significant person
5. 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
6. followed by, also known as continued as, then, successor, succeeded by, sequel is (wd:P156 as p/wdt): immediately following item in a series of which the subject is a...een replaced, e.g. political offices, use "replaced by" (P1366)]
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. point in time, also known as at time, as of, year, when, time of event (wd:P585 as p/wdt): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
9. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
10. sport, also known as play, plays, sport played, sports (wd:P641 as p/wdt): sport that the subject participates or participated in or is associated with

No other items found

[Tool] Got no rows and 3 columns

[Assistant]
The "winner" property (wd:P1346) is present, but no values are found for the 2020 Bahrain Grand Prix. Let's try searching for properties related to "participant" or "position" for this event.

**Step 9: Search for properties of wd:Q67123905 related to "participant" or "position".**

[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. winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as p/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
3. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as p/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
4. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
5. point in time, also known as at time, as of, year, when, time of event (wd:P585 as p/wdt): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
6. 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)
7. event distance, also known as race distance, stage distance (wd:P3157 as p/wdt): distance over which a race or other event is conducted or was achieved, length
8. sport, also known as play, plays, sport played, sports (wd:P641 as p/wdt): sport that the subject participates or participated in or is associated with
9. fastest lap, also known as performer of the fastest lap (wd:P5053 as p/wdt): person who does the fastest lap during a motorsport race, significant person
10. 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

[Tool]
Top 10 property alternatives:
1. pole position (wd:P3764 as p/wdt): person, who starts race at first row (leader in the starting grid), significant person
2. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as p/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
3. winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as p/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. 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
5. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
6. official name, also known as long title, name, official title, registered name, full title (wd:P1448 as p/wdt): official name of the subject in its official language(s), name
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. followed by, also known as continued as, then, successor, succeeded by, sequel is (wd:P156 as p/wdt): immediately following item in a series of which the subject is a...een replaced, e.g. political offices, use "replaced by" (P1366)]
9. point in time, also known as at time, as of, year, when, time of event (wd:P585 as p/wdt): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
10. sport, also known as play, plays, sport played, sports (wd:P641 as p/wdt): sport that the subject participates or participated in or is associated with

No other items found

[Assistant]
It seems that the properties for participant rankings are not directly attached to the event entity in a straightforward way. However, in Wikidata, race results are often modeled as "qualifier" statements on the "participant" or "has part" property, or as separate "racing result" entities.

Let's try searching for properties related to "racing result" or "race result" to see if there is a dedicated entity or property for this.

**Step 10: Search for properties related to "race result".**

[Tool]
Top 10 property alternatives:
1. race time (wd:P2781 as pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): officially recorded time elapsed in a sports race, duration
2. number of matches played/races/starts, also known as gp, starts, races, number of games played, mp (wd:P1350 as pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): matches or games a player or a team played during an event. Also...matches a player officially appeared in during the whole career.
3. event distance, also known as race distance, stage distance (wd:P3157 as pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): distance over which a race or other event is conducted or was achieved, length
4. laps completed (wd:P5349 as pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): number of laps completed by a race participant
5. Racing-Reference race ID, also known as racing-reference.info race ID, racing-reference.info race identifier, Racing-Reference race identifier (wd:P6806 as pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): identifier of a motor race, in the racing-reference.info database
6. ProCyclingStats race ID, also known as PCS, ProCyclingStats ID (race) (wd:P2327 as pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): Cycling race ID
7. ethnic group, also known as ethnic or cultural origin, tribal affiliation, race, people, ethnicity (wd:P172 as pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): subject's ethnicity (consensus is that a VERY high standard of p...agreed on by scholars, or 3) is fictional and portrayed as such)
8. fastest lap, also known as performer of the fastest lap (wd:P5053 as pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): person who does the fastest lap during a motorsport race, significant person
9. ARRS race ID (wd:P5090 as pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): identifier for races held by ARRS (Association of Road Racing Statisticians)
10. fastest laps (wd:P10823 as pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): number of fastest laps a driver is credited with over a series, season, or career

[Assistant]
The properties found are mostly about race time, laps, and IDs, not about ranking. However, "ranking" is often modeled as a qualifier (P1352) on the "participant" property (P710) or similar.

Let's check if the "participant" property (wd:P710) is used for these events, and if so, whether it has qualifiers for ranking.

**Step 11: List triples for 2020 Bahrain Grand Prix (wd:Q67123905) with property "participant" (wd:P710).**

[Tool] Got no rows and 3 columns

[Assistant]
No "participant" (wd:P710) property is directly attached to the 2020 Bahrain Grand Prix. This suggests that race results may be modeled as separate entities or via other properties.

Given the complexity and the lack of direct links, let's try searching for entities related to "2020 Bahrain Grand Prix result" or "2020 Bahrain Grand Prix classification" to see if there are dedicated result entities.

**Step 12: Search for entities related to "2020 Bahrain Grand Prix result".**

[Tool]
Top 10 entity alternatives:
1. 2020 Bahrain Grand Prix (wd:Q67123905): Formula One motor race
2. Bahrain Grand Prix (wd:Q7885): Formula 1 Grand Prix
3. 2022 Bahrain Grand Prix (wd:Q110070564): Formula One motor race
4. 2008 Bahrain Grand Prix (wd:Q17325): formula one race
5. 2012 Bahrain Grand Prix, also known as 2012 Formula 1 Gulf Air Bahrain Grand Prix (wd:Q17334): Formula One race
6. 2006 Bahrain Grand Prix (wd:Q17320): motor car race
7. 2018 Bahrain Grand Prix, also known as Formula 1 2018 Gulf Air Bahrain Grand Prix (wd:Q47005221): Formula One race held in Bahrain
8. 2009 Bahrain Grand Prix (wd:Q17328): motor car race
9. 2020 Styrian Grand Prix (wd:Q95994243): Formula 1 race in Austria
10. 2021 Bahrain Grand Prix, also known as Formula 1 Gulf Air Bahrain Grand Prix 2021 (wd:Q104188668): Formula One motor race

[Assistant]
There are no dedicated "result" or "classification" entities for the 2020 Bahrain Grand Prix.

Given the structure of Wikidata, race results are often modeled as statements about the drivers, with qualifiers indicating the event and their position. Let's try searching for statements where the "participant in" (P1344) property is the 2020 Bahrain Grand Prix and see if there are qualifiers for position.

**Step 13: List triples where property is "participant in" (wd:P1344) and object is wd:Q67123905 (2020 Bahrain Grand Prix).**

[Tool] Got no rows and 3 columns

[Assistant]
No statements were found using "participant in" (wd:P1344) for the 2020 Bahrain Grand Prix either.

Given these repeated dead ends, it appears that the detailed race result data (including top 3 finishers and their ages) is not well-modeled or not present in Wikidata for these events. This is a known limitation for some sports data in Wikidata, where only the winner or basic event data is present, and detailed results are not consistently available.

Therefore, I am unable to construct a SPARQL query that answers your question as requested, due to the lack of structured data for race results and participant ages for the 2020 Formula One World Championship events in Wikidata.

I will now cancel with an explanation.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The explanation is correct: Wikidata does not contain structured data for the detailed race results (top 3 finishers and their ages) for the 2020 Formula One World Championship events. The provided SPARQL query correctly retrieves the events and their dates, which is the maximum possible given the current data model. The system's output is accurate and complete given the limitations of the dataset.


PREFIX wikibase: <http://wikiba.se/ontology#>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX psv: <http://www.wikidata.org/prop/statement/value/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?person ?first_dod ?second_dod WHERE {
  ?person wdt:P31 wd:Q5 ; wdt:P27 wd:Q142 .
  {
    SELECT ?person ( MIN( ?dod ) AS ?first_dod ) WHERE {
      ?person p:P570 ?stmt1 .
      ?stmt1 ps:P570 ?dod .
      ?stmt1 psv:P570 ?val1 .
      ?val1 wikibase:timePrecision ?prec1 .
      FILTER ( ?prec1 >= 11 )
    }
    GROUP BY ?person
  }
  {
    SELECT ?person ( MIN( ?dod2 ) AS ?second_dod ) WHERE {
      ?person p:P570 ?stmt2 .
      ?stmt2 ps:P570 ?dod2 .
      ?stmt2 psv:P570 ?val2 .
      ?val2 wikibase:timePrecision ?prec2 .
      FILTER ( ?prec2 >= 11 ) {
        SELECT ?person ( MIN( ?dod ) AS ?min_dod ) WHERE {
          ?person p:P570 ?stmt1 .
          ?stmt1 ps:P570 ?dod .
          ?stmt1 psv:P570 ?val1 .
          ?val1 wikibase:timePrecision ?prec1 .
          FILTER ( ?prec1 >= 11 )
        }
        GROUP BY ?person
      }
      FILTER ( ?dod2 > ?min_dod )
    }
    GROUP BY ?person
  }
}
ORDER BY DESC ( ?first_dod ) ?person

This query now correctly returns, for each French individual with at least two distinct dates of death (with at least day precision), the earliest and the second earliest date, ordered as requested. It avoids the previous issue by explicitly excluding the minimum date when searching for the second earliest.

[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 individuals from France who have more than one recorded date of death with at least day precision, where the first date of death is earlier than the second? Please provide the first date of death and the second date of death, ordered by the most recent first date of death and then by item ID.

[Assistant]
Let's break down the question:

1. We need individuals (humans) from France.
2. These individuals must have more than one recorded date of death (with at least day precision).
3. The first date of death must be earlier than the second.
4. We need to provide both dates for each individual.
5. Results should be ordered by the most recent first date of death (descending), then by item ID.

Let's proceed step by step:

Step 1: Find the entity for "France" and the property for "country of citizenship" or "country of origin".

Step 2: Find the property for "date of death".

Step 3: Check how to get multiple values for date of death for the same person, and filter for at least day precision.

Step 4: Construct the query to get individuals with two different date of death values, both with at least day precision, where the first is earlier than the second.

Step 5: Order as requested.

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

[Tool]
Top 10 entity alternatives:
1. France, also known as FR, FRA, French Republic (wd:Q142): country in Western Europe
2. France men's national association football team, also known as France, France men's national football team, France national association football team, France national football team, France national soccer team (wd:Q47774): national association football team representing France
3. French Fifth Republic, also known as 5th French Republic, French Republic, French 5th Republic, France, Fifth French Republic (wd:Q200686): current system of government of France (1958–present)
4. Bourbon Restoration in France, also known as France, Kingdom of France (wd:Q207162): period of French history, 1814–1830
5. French Community, also known as France (wd:Q1120363): International political association
6. France at the 2008 Summer Olympics, also known as France (wd:Q146845): sporting event delegation
7. France, also known as French battleship France (wd:Q49644): 1912 Courbet-class battleship
8. France, also known as On a Half Clear Morning (wd:Q76488728): 2021 film directed by Bruno Dumont
9. La France, also known as France (wd:Q3209212): 2007 film by Serge Bozon
10. France (wd:Q5478259): constituency of the European Parliament

[Assistant]
The entity for France as a country is wd:Q142.

Next, let's find the property for "country of citizenship" to identify individuals from France.

[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 pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): 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 pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): 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 pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): 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 pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): 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 pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): 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 pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): 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 pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): 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 pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): 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 pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): 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 pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): the place where the person is or has been, resident, location

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

Now, let's find the property for "date of death".

[Tool]
Top 10 property alternatives:
1. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): dissolved, abolished or demolished date, date on which the subject died, end time
2. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): most specific known (e.g. city instead of country, or hospital i... city) death 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 pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): date on which the subject was born, inception
4. date of burial or cremation, also known as burial date, cremation date, date of cremation, funeral date (wd:P4602 as pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): date on which the person was buried or cremated soon after death, point in time
5. number of deaths, also known as dead, qty fatalities, qty deaths, number of fatalities, fatalities (wd:P1120 as pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): total (cumulative) number of people who died since start as a direct result of an event or cause
6. birthday, also known as b-day, bday, birth day (wd:P3150 as pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): item for day and month on which the subject was born. Used when full "date of birth" (P569) isn't known., date of birth
7. commemorates, also known as monument to, memorial to, memorializes, marks, in memory of (wd:P547 as pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): what the place, monument, memorial, or holiday, commemorates, main subject
8. cause of death, also known as death cause, murder method, method of murder, die of, die from (wd:P509 as pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): underlying or immediate cause of death.  Underlying cause (e.g. ...adest category, e.g. natural causes, accident, homicide, suicide
9. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): time when an entity begins to exist; for date of official opening use P1619, start time
10. dissolved, abolished or demolished date, also known as ended, publication end date, final issue, date repealed, final year (wd:P576 as pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): point in time at which the subject (organisation, building) ceas...g equipment,  "discontinued date" (P2669) for stopping a product, end time

[Assistant]
The property for "date of death" is wdt:P570.

Now, we need to find individuals (humans) from France (wd:Q142) who have more than one date of death (P570) with at least day precision, and where the first date is earlier than the second.

We also need to ensure that both dates have at least day precision. In Wikidata, the precision of a date is stored in the value node (psv:P570 → wikibase:timePrecision).

Let's check how date of death and its precision are stored for a sample human.

[Tool]
Got 1 row and 3 columns:
| subject                   | property                 | object                              |
| ------------------------- | ------------------------ | ----------------------------------- |
| Albert Einstein (wd:Q937) | date of death (wdt:P570) | 1955-04-18T00:00:00Z (xsd:dateTime) |

[Tool]
Got 1 row and 3 columns:
| subject                   | property               | object                                      |
| ------------------------- | ---------------------- | ------------------------------------------- |
| Albert Einstein (wd:Q937) | date of death (p:P570) | s:q937-577aaeb4-4ce9-fdd1-791f-78d893a0e5a8 |

[Tool]
Got 29 rows and 3 columns, showing the first 10 rows below:
| subject                                     | property                 | object                                       |
| ------------------------------------------- | ------------------------ | -------------------------------------------- |
| s:q937-577aaeb4-4ce9-fdd1-791f-78d893a0e5a8 | date of death (ps:P570)  | 1955-04-18T00:00:00Z (xsd:dateTime)          |
| s:q937-577aaeb4-4ce9-fdd1-791f-78d893a0e5a8 | wikibase:rank            | wikibase:NormalRank                          |
| s:q937-577aaeb4-4ce9-fdd1-791f-78d893a0e5a8 | rdf:type                 | wikibase:BestRank                            |
| s:q937-577aaeb4-4ce9-fdd1-791f-78d893a0e5a8 | prov:wasDerivedFrom      | ref:158383a80aa90f20f52ce945db29aaa48573b76f |
| s:q937-577aaeb4-4ce9-fdd1-791f-78d893a0e5a8 | date of death (psv:P570) | v:70d89e5639d81428b947e393df31826b           |
| s:q937-577aaeb4-4ce9-fdd1-791f-78d893a0e5a8 | rdf:type                 | wikibase:Statement                           |
| s:q937-577aaeb4-4ce9-fdd1-791f-78d893a0e5a8 | prov:wasDerivedFrom      | ref:1a65ca93873da6d986c035b406ca44dfa4a93d9d |
| s:q937-577aaeb4-4ce9-fdd1-791f-78d893a0e5a8 | prov:wasDerivedFrom      | ref:2460a13623ed9cfd696136b5bfb98f21b5f50a22 |
| s:q937-577aaeb4-4ce9-fdd1-791f-78d893a0e5a8 | prov:wasDerivedFrom      | ref:343148eb4688024dff43df684872dbbcf46509c4 |
| s:q937-577aaeb4-4ce9-fdd1-791f-78d893a0e5a8 | prov:wasDerivedFrom      | ref:34a39d617ee2c392b43a96b57805ad70ce199afe |
| ...                                         | ...                      | ...                                          |

[Tool]
Got 5 rows and 3 columns:
| subject                            | property                   | object                                     |
| ---------------------------------- | -------------------------- | ------------------------------------------ |
| v:70d89e5639d81428b947e393df31826b | wikibase:timeCalendarModel | proleptic Gregorian calendar (wd:Q1985727) |
| v:70d89e5639d81428b947e393df31826b | wikibase:timePrecision     | 11 (xsd:int)                               |
| v:70d89e5639d81428b947e393df31826b | wikibase:timeTimezone      | 0 (xsd:int)                                |
| v:70d89e5639d81428b947e393df31826b | wikibase:timeValue         | 1955-04-18T00:00:00Z (xsd:dateTime)        |
| v:70d89e5639d81428b947e393df31826b | rdf:type                   | wikibase:TimeValue                         |

[Assistant]
From the above, we see that:
- The date of death value is stored as ps:P570 (on the statement node).
- The value node (psv:P570) contains wikibase:timeValue (the date) and wikibase:timePrecision (an integer).
- Precision 11 corresponds to "day" precision.

To find individuals with more than one date of death, we need to find humans (wd:Q5) with two different date of death statements, both with at least day precision (precision >= 11), and where the first date is earlier than the second.

Now, let's construct the SPARQL query accordingly.

Key points:
- Filter for humans (wd:Q5).
- Filter for country of citizenship France (wd:Q142).
- Find two different date of death statements (?dod1, ?dod2) for the same person, with ?dod1 < ?dod2, both with precision >= 11.
- Return the person, both dates, and order as requested.

Let's write the query.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The query is mostly correct and returns the expected information, but it can be refined to avoid duplicate rows for the same pair of dates (since the current query will return both (dod1, dod2) and (dod2, dod1) for each pair, even with the FILTER(?dod1_value < ?dod2_value)). Additionally, the query should ensure that the two dates are distinct and that only the earliest and next earliest dates are returned for each person, rather than all possible pairs. Consider using aggregation (MIN, etc.) or a subquery to select only the two earliest dates for each person. Also, the query currently does not use OPTIONAL for labels, which could be added for better readability, though not required unless requested. The ordering and return of IRIs is correct.

[Assistant]
Thank you for the feedback. To refine the query:

1. Avoid duplicate rows: The current query returns all pairs (dod1, dod2) where dod1 < dod2, which can result in multiple rows for the same person. We should instead select only the two earliest distinct dates for each person.
2. Ensure two distinct dates: Use aggregation (MIN, etc.) or a subquery to get the two earliest dates.
3. Return only the first and second earliest dates for each person.
4. Labels are optional and not required unless requested.

Let's proceed step by step:

Step 1: For each person, collect all date of death values with at least day precision.
Step 2: For each person, select the earliest and the next earliest (second earliest) date.
Step 3: Only include persons who have at least two distinct dates.
Step 4: Return the person, the first and second date, and order as requested.

To achieve this, we can use a subquery to get all date of death values per person, then aggregate to get the two earliest.

Let's write the refined query.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The query is close, but it has a significant issue: it does not guarantee that the 'second_dod' is truly the second earliest date of death for each person. Instead, it takes the minimum of all dates greater than the minimum, which may not always be the second earliest if there are more than two dates. This could lead to incorrect results if a person has three or more dates of death.

To fix this, the query should:
- Collect all distinct dates of death with sufficient precision for each person.
- Order them, and select the first and second earliest dates for each person.
- Only include persons with at least two such dates.

Additionally, the query should not use MIN(?dod2) as ?second_dod, but rather select the second value in the ordered list of dates. This can be achieved using a subquery with ORDER BY and OFFSET/LIMIT or by using a suitable ranking method in SPARQL. Please refine the query accordingly.

[Assistant]
Thank you for the detailed feedback. You are correct: to reliably get the first and second earliest dates, we must explicitly order all distinct date of death values per person, then select the first and second.

SPARQL 1.1 supports this via subqueries with ORDER BY, OFFSET, and LIMIT. Here’s the step-by-step plan:

1. For each person (human, French citizen), collect all distinct date of death values with at least day precision.
2. For each person, select the earliest date (ORDER BY date ASC LIMIT 1 OFFSET 0).
3. For each person, select the second earliest date (ORDER BY date ASC LIMIT 1 OFFSET 1).
4. Only include persons for whom both dates exist (i.e., at least two distinct dates).
5. Return the person, first date, and second date, ordered as requested.

Let’s implement this logic using subqueries for the first and second earliest date per person.

Here is the refined query:

[Tool] Stopped generation process


Failed to generate 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 different types of works, excluding written works, authored by individuals who have exactly one sitelink to Wikisource, and how many of each type are there? Order by the count of each type descending.

[Assistant]
Let's break down the question and plan the SPARQL query step by step:

1. **Identify individuals who have exactly one sitelink to Wikisource.**
   - We need to find people (humans) who have a Wikisource sitelink, and only one such sitelink.
   - Sitelinks are not directly modeled as properties in Wikidata, but we can use the `schema:isPartOf` and `schema:about` properties in the RDF representation, or filter by the presence of a Wikisource sitelink in the entity's data.

2. **Find works authored by these individuals, excluding written works.**
   - We need to find works (items) for which these individuals are authors.
   - Exclude works that are instances of "written work" or its subclasses.

3. **Group by type of work and count.**
   - For each type (instance of), count how many such works exist.
   - Order by count descending.

Let's begin by searching for the relevant properties and entities.

First, let's check how Wikisource sitelinks are represented in Wikidata.
Wikisource sitelinks are typically represented as sitelinks in the Wikidata entity's data, not as a direct property. However, in the RDF representation, sitelinks can be accessed via the `schema:about` (the Wikidata entity) and `schema:isPartOf` (the Wikimedia project, e.g., Wikisource).

To find individuals with exactly one Wikisource sitelink, we need to:
- Identify humans (`wd:Q5`).
- Find entities with a sitelink to any Wikisource (e.g., `enwikisource`, `dewikisource`, etc.).
- Ensure there is exactly one such sitelink per individual.

Next, let's check how to find works authored by these individuals and how to exclude written works. The property for "author" is likely `P50`, and "instance of" is `P31`. Let's verify these.


Failed to generate 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 items cataloged under the EHRI authority control?

[Assistant]
Let's break down the question:

1. "EHRI authority control" likely refers to a specific authority control system/entity in Wikidata.
2. The question asks for "items cataloged under" this authority control, which probably means items that have an EHRI authority control identifier.

First, I need to identify the Wikidata property for "EHRI authority control".

I'll search for the property "EHRI authority control" in Wikidata.

[Tool]
Top 10 property alternatives:
1. authority, also known as executive authority, governed by, governing authority, governing body, has authority (wd:P797 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): entity having executive power on given entity
2. maintained by, also known as custodian, maintenance, maintainer, held by, administrator (wd:P126 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): person or organization in charge of keeping the subject (for instance an infrastructure) in functioning order
3. operator, also known as offered by, operated by, provided by, run by, service operator (wd:P137 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): person, profession, organization or entity that operates the equipment, facility, or service, used by
4. NDL Authority ID, also known as NDLSH (NDL Subject Headings), NDLNA (NDL Name Authority), NDLNAId, NDL identifier, NDL ID (wd:P349 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier for authority control per the National Diet Library of Japan
5. central bank/issuer, also known as authority, issuer, issuing authority (wd:P562 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): central bank or other issuing authority for the currency
6. regulated by, also known as regulator, regulatory authority (wd:P3719 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): organization that acts as regulator of an activity, financial market, or stock exchange
7. organization directed by the office or position, also known as leader of, head of, leads, organization directed by, organization directed from the office (wd:P2389 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): organization which is directed by this office
8. operating area, also known as province served, serves jurisdiction, serves geographic region, serves geographic area, serves area (wd:P2541 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, location
9. ICCROM authority ID (wd:P10518 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier for an authority in the catalogue of the ICCROM library
10. IxTheo authority ID, also known as IxTheo person ID, IxTheo organization ID (wd:P10553 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier for a person or an organization in the Index Theologicus (IxTheo)

[Tool]
Top 10 property alternatives:
1. Encyclopedia of the History of Ukraine ID, also known as EHU, EIY, history.org.ua, ЕІУ (wd:P8935 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): ID for an entry on the official website of the Encyclopedia of the History of Ukraine
2. LoC HABS/HAER/HALS place ID, also known as Control Number, HABS ID, HAER ID, HALS ID, Historic American Buildings Survey ID (wd:P8655 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): alphanumerical identifier for a place covered by the Historic Am...ic American Landscapes Survey on the Library of Congress website
3. EHAK id (wd:P1140 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): Estonian Administrative and Settlement Classification
4. compressive strength, also known as compression strength, ultimate compressive strengh, ρe (wd:P5669 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): capacity of a material or structure to withstand loads tending to reduce size
5. Hrvatska tehnička enciklopedija ID, also known as HTE (wd:P8576 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier for an entry in the Hrvatska tehnička enciklopedija
6. tensile modulus of elasticity, also known as Young's modulus, tensile modulus, elasticity modulus, E, elastic modulus (wd:P5480 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): material proprety linking the elastic deformation to the yield strengh.
7. EHIS educational institution ID (wd:P13246 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier for an educational institution in the Estonian Education Information System
8. European Case Law ID, also known as ECLI, European Case Law Identifier (wd:P3570 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier for case law in Europe
9. ISSN, also known as P-ISSN, issnp, issne, E-ISSN, eISSN (wd:P236 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): International Standard Serial Number (print or electronic)
10. Engineer's Line Reference, also known as ELR (wd:P10271 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): code for a railway line in Britain owned by Network Rail

[Tool]
Top 10 entity alternatives:
1. European Holocaust Research Infrastructure, also known as EHRI, Infraestructura europea de investigación del Holocausto (wd:Q21755493): EU research project under the Framework Programmes
2. Ehringshausen (wd:Q633810): municipality in Lahn-Dill-Kreis in Hesse, Germany
3. Wilhelm Schubert van Ehrenberg, also known as Wilhelm van Aerdenberg, Wilhelm van Hardenberg, Wilhelm Van Aerdenberg, Wilhelm van Eerenberch, Wilhelm Van Eerenberch (wd:Q8003603): Flemish painter (1630–1676), painter
4. Ehrich (wd:Q20996142): family name
5. Ehrichspitze (wd:Q691616): mountain in the Ötztal Alps in Tyrol
6. Ehringsdorf (wd:Q1300853): neighborhood in Weimar, Germany
7. Ehringen (wd:Q1300839): human settlement in Germany
8. Ehrikon (wd:Q1300832): geographical object
9. Ehringhausen, also known as Ehringhausen (Geseke) (wd:Q1300846): human settlement in Germany
10. Ehringhausen, also known as Ehringhausen (Remscheid) (wd:Q1300851)

[Tool]
Top 10 property alternatives:
1. GND ID, also known as Deutschen Nationalbibliothek ID, Universal Authority File, Integrated Authority File, IndividualisedGnd, GND-IDN (wd:P227 as wdt/p/wdtn): identifier from an international authority file of names, subjects, and organizations
2. Library of Congress authority ID, also known as LCSH Authority File ID, LC Name Authority ID, LCSH ID, LCSH LCCN, LC Subject Heading ID (wd:P244 as wdt/p/wdtn): Library of Congress name authority (persons, families, corporate...lowed by 8-10 digits (see regex). For manifestations, use P1144]
3. ARK Name Assigning Authority Number, also known as ARK NAAN, NAAN (wd:P1870 as p/wdt): identifier in the Archival Resource Key registry
4. VIAF cluster ID, also known as VIAF, VIAF ID, VIAF identifier, viaf.org ID, Virtual International Authority File (wd:P214 as wdt/p/wdtn): identifier for the Virtual International Authority File database...lease note: VIAF is a cluster, the ID can include multiple items
5. EU RCN, also known as Record Control Number, CORDIS RCN, RCN (wd:P5755 as p/wdt): Record Control Number for project/org/person under EU Framework Programmes
6. official name, also known as long title, name, official title, registered name, full title (wd:P1448 as p/wdt): official name of the subject in its official language(s), name
7. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as p/wdt): specialization of a person or organization; see P106 for the occupation, interested in
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. NL CR AUT ID, also known as Czech National Authority Database, NLCR AUT ID (wd:P691 as p/wdt): identifier in the Czech National Authority Database of National Library of the Czech Republic (NL CR)
10. main subject, also known as primary topic, primary subject, primary keyword, plot keyword, of (wd:P921 as p/wdt): primary topic of a work (see also P180: depicts), depicts

No other items found

[Tool]
Top 10 property alternatives:
1. NDL Authority ID, also known as NDLSH (NDL Subject Headings), NDLNA (NDL Name Authority), NDLNAId, NDL identifier, NDL ID (wd:P349 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier for authority control per the National Diet Library of Japan
2. IxTheo authority ID, also known as IxTheo person ID, IxTheo organization ID (wd:P10553 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier for a person or an organization in the Index Theologicus (IxTheo)
3. AGORHA person/institution ID, also known as AGORHA, Beaux-arts ID (wd:P2342 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier for a person or institution in the Agorha database (INHA)
4. ICCROM authority ID (wd:P10518 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier for an authority in the catalogue of the ICCROM library
5. IdRef ID, also known as SUDOC, SUDOC authorities ID, SUDOC authority ID, Système Universitaire de Documentation authorities ID, IdRef (wd:P269 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier for authority control in the French collaborative lib...og (see also P1025). Format: 8 digits followed by a digit or "X"
6. EBAF authority ID, also known as École biblique et archéologique ...e Jérusalem authority identifier, École biblique et archéologique française de Jérusalem authority ID, Bibliothèque Saint-Étienne authority identifier, EBAF authority identifier, Bibliothèque Saint-Étienne authority ID (wd:P9661 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier for an authority in the catalogue of the Saint-Étienn...ry of the French Biblical and Archaeological School of Jerusalem
7. Teresianum authority ID (wd:P10844 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier for an authority in the catalogue of the Library of the Teresianum
8. HURDAT ID, also known as HURDAT identifier (wd:P502 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier per HURDAT (North Atlantic hurricane database)
9. EIDR content ID, also known as EIDR content identifier, EIDR ID, Entertainment Identifier Registry ID (wd:P2704 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier for a film or television work, edit or manifestation, in the Entertainment Identifier Registry, DOI
10. EHAK id (wd:P1140 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): Estonian Administrative and Settlement Classification

[Tool]
Top 10 property alternatives:
1. USHMM person ID, also known as Holocaust Survivors and Victims Database ID (wd:P4130 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier for a person in the UHSMM, a database of Holocaust survivors and victims
2. Holocaust.cz person ID (wd:P9109 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier of a person in the database of holocaust victims (holocaust.cz)
3. research site, also known as location of research, where researched, study location, research location, site of research (wd:P6153 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): place where this item was researched
4. Archives Portal Europe ID, also known as APE ID (wd:P7764 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier for an archival institution in the directory of Archives Portal Europe
5. USHMM Holocaust Encyclopedia ID (wd:P3724 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier in the Holocaust Encyclopedia of the United States Holocaust Memorial Museum
6. Auschwitz Prisoners Database ID (wd:P9520 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier in the online database of Auschwitz prisoners
7. CDEC ID, also known as Italian center for Jewish contemporary documentation ID (wd:P6636 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): ID for the Italian victims of the Nazi Holocaust, from the database of CDEC - Italian center for Jewish contemporary documentation
8. Bundesstiftung Aufarbeitung person ID, also known as Bundesstiftung Aufarbeitung Biographische Datenbanken, Deutsche Kommunisten: Biographisches Handbuch 1918 bis 1945, Wer war wer in der DDR? Ein Lexikon ostdeutscher Biographien (wd:P9671 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier for a person in the biographical databases of the Federal Foundation for the Reappraisal of the SED Dictatorship
9. Wissens-Aggregator Mittelalter und Frühe Neuzeit ID, also known as WIAG ID, WIAG identifier, Wissens-Aggregator Mittelalter und Frühe Neuzeit identifier (wd:P9441 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier for an entry in the Wissens-Aggregator Mittelalter und Frühe Neuzeit
10. Historical Archives of the European Union ID, also known as HAEU ID (wd:P6917 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier for a person or an institution that have created, pre...itute the fonds at the Historical Archives of the European Union

[Tool]
Top 10 property alternatives:
1. Encyclopedia of the History of Ukraine ID, also known as EHU, EIY, history.org.ua, ЕІУ (wd:P8935 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): ID for an entry on the official website of the Encyclopedia of the History of Ukraine
2. LoC HABS/HAER/HALS place ID, also known as Control Number, HABS ID, HAER ID, HALS ID, Historic American Buildings Survey ID (wd:P8655 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): alphanumerical identifier for a place covered by the Historic Am...ic American Landscapes Survey on the Library of Congress website
3. EHAK id (wd:P1140 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): Estonian Administrative and Settlement Classification
4. compressive strength, also known as compression strength, ultimate compressive strengh, ρe (wd:P5669 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): capacity of a material or structure to withstand loads tending to reduce size
5. Hrvatska tehnička enciklopedija ID, also known as HTE (wd:P8576 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier for an entry in the Hrvatska tehnička enciklopedija
6. tensile modulus of elasticity, also known as Young's modulus, tensile modulus, elasticity modulus, E, elastic modulus (wd:P5480 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): material proprety linking the elastic deformation to the yield strengh.
7. EHIS educational institution ID (wd:P13246 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier for an educational institution in the Estonian Education Information System
8. European Case Law ID, also known as ECLI, European Case Law Identifier (wd:P3570 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier for case law in Europe
9. ISSN, also known as P-ISSN, issnp, issne, E-ISSN, eISSN (wd:P236 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): International Standard Serial Number (print or electronic)
10. Engineer's Line Reference, also known as ELR (wd:P10271 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): code for a railway line in Britain owned by Network Rail

[Tool]
Top 10 property alternatives:
1. USHMM person ID, also known as Holocaust Survivors and Victims Database ID (wd:P4130 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier for a person in the UHSMM, a database of Holocaust survivors and victims
2. research site, also known as location of research, where researched, study location, research location, site of research (wd:P6153 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): place where this item was researched
3. Holocaust.cz person ID (wd:P9109 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier of a person in the database of holocaust victims (holocaust.cz)
4. USHMM Holocaust Encyclopedia ID (wd:P3724 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier in the Holocaust Encyclopedia of the United States Holocaust Memorial Museum
5. Jewish Virtual Library ID, also known as JVL ID (wd:P8568 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier in the Jewish Virtual Library
6. Auschwitz Prisoners Database ID (wd:P9520 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier in the online database of Auschwitz prisoners
7. has role in modeling, also known as has role in modelling, used for investigating, used for researching, used for studying, used to investigate (wd:P6530 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): relation between a research artefact and an entity that is used ... its replicating or approximating features of the studied entity
8. collection, also known as editorial collection, series, repository, museum collection, held by (wd:P195 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): art, museum, archival, or bibliographic collection of which the subject is part, part of
9. Encyclopedia of Jewish Women ID, also known as Jewish Women's Archive ID (wd:P9430 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier for a woman in the Encyclopedia of Jewish Women
10. CDEC ID, also known as Italian center for Jewish contemporary documentation ID (wd:P6636 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): ID for the Italian victims of the Nazi Holocaust, from the database of CDEC - Italian center for Jewish contemporary documentation

[Tool]
Top 10 property alternatives:
1. Highland Historic Environment Record ID, also known as MHG, Highland HER ID, HHER ID, Highland HER (wd:P7304 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): ID for a heritage feature in the Highland Historic Environment Record website and database
2. EHAK id (wd:P1140 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): Estonian Administrative and Settlement Classification
3. EIDR content ID, also known as EIDR content identifier, EIDR ID, Entertainment Identifier Registry ID (wd:P2704 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier for a film or television work, edit or manifestation, in the Entertainment Identifier Registry, DOI
4. ERIH PLUS journal ID, also known as ERIH PLUS ID (wd:P3434 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier of a journal in ERIH PLUS
5. Interlingual Index ID, also known as ILI ID (wd:P5063 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt)
6. Australian Heritage Database Place ID, also known as AHD ID, AHDP ID (wd:P3008 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier "Place ID" on the Australian Heritage Database
7. The American Heritage Dictionary of the English Language entry ID, also known as AHDEL ID, AHD ID, American Heritage Dictionary of the English Language entry ID (wd:P13163 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier for an entry in The American Heritage Dictionary of the English Language
8. Arcade Hub ID, also known as AH ID (wd:P12238 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier of a video game in the Arcade Hub database
9. Coin Hoards of the Roman Empire ID, also known as CHRE ID (wd:P12190 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier for a coin hoard
10. LoC HABS/HAER/HALS place ID, also known as Control Number, HABS ID, HAER ID, HALS ID, Historic American Buildings Survey ID (wd:P8655 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): alphanumerical identifier for a place covered by the Historic Am...ic American Landscapes Survey on the Library of Congress website

[Tool]
Top 10 property alternatives:
1. USHMM person ID, also known as Holocaust Survivors and Victims Database ID (wd:P4130 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier for a person in the UHSMM, a database of Holocaust survivors and victims
2. Holocaust.cz person ID (wd:P9109 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier of a person in the database of holocaust victims (holocaust.cz)
3. USHMM Holocaust Encyclopedia ID (wd:P3724 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier in the Holocaust Encyclopedia of the United States Holocaust Memorial Museum
4. CDEC ID, also known as Italian center for Jewish contemporary documentation ID (wd:P6636 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): ID for the Italian victims of the Nazi Holocaust, from the database of CDEC - Italian center for Jewish contemporary documentation
5. Righteous Among The Nations ID, also known as Righteous Among Nations ID (wd:P1979 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier in the database of The Righteous Among The Nations
6. JewAge person ID (wd:P4116 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier for a person on JewAge, a genealogical database for Jewish people
7. Linz DB ID, also known as Führermuseum DB ID, Führermuseum ID, Linz ID (wd:P10759 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier of an artwork in the Database on the "Linz Collection" (Führermuseum)
8. YVNG ID, also known as YVNG identifier, Yad Vashem identifier (wd:P7624 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier in the Yad Vashem central database of Holocaust victims' names
9. Jewish Virtual Library ID, also known as JVL ID (wd:P8568 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier in the Jewish Virtual Library
10. Delaware Sports Hall of Fame ID, also known as Delaware Sports Museum and Hall of Fame athlete ID, DSMHOF athlete ID, DSMHOF ID (wd:P4363 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier for an athlete on the Delaware Sports Museum and Hall of Fame website

[Tool]
Got 1,879 rows and 3 columns, showing the first 10 rows below:
| subject                            | property                         | object |
| ---------------------------------- | -------------------------------- | ------ |
| Leonardo da Vinci (wd:Q762)        | ICCROM authority ID (wdt:P10518) | 107165 |
| Mahatma Gandhi (wd:Q1001)          | ICCROM authority ID (wdt:P10518) | 50424  |
| Martin Heidegger (wd:Q48301)       | ICCROM authority ID (wdt:P10518) | 57125  |
| Pliny the Elder (wd:Q82778)        | ICCROM authority ID (wdt:P10518) | 86269  |
| Johannes Vermeer (wd:Q41264)       | ICCROM authority ID (wdt:P10518) | 106601 |
| Claude Lévi-Strauss (wd:Q128126)   | ICCROM authority ID (wdt:P10518) | 120172 |
| Alvar Aalto (wd:Q82840)            | ICCROM authority ID (wdt:P10518) | 21319  |
| Diocletian (wd:Q43107)             | ICCROM authority ID (wdt:P10518) | 43278  |
| I. M. Pei (wd:Q46868)              | ICCROM authority ID (wdt:P10518) | 84135  |
| Leon Battista Alberti (wd:Q182046) | ICCROM authority ID (wdt:P10518) | 22279  |
| ...                                | ...                              | ...    |

[Assistant]
After extensive property and entity searches, I could not find a dedicated "EHRI authority control" or "EHRI authority ID" property in Wikidata. The closest matches are for other authority control systems (such as ICCROM, VIAF, USHMM, etc.), but none for EHRI (European Holocaust Research Infrastructure).

Therefore, I am unable to provide a SPARQL query for items cataloged under the EHRI authority control, as there is no such property currently available in Wikidata. If you have a specific property ID or more context, I can try again.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?type ?typeLabel ( COUNT( ?item ) AS ?count ) WHERE {
  ?item wdt:P1225 ?naid .
  ?item wdt:P31 ?type .
  OPTIONAL {
    ?type rdfs:label ?typeLabel FILTER ( lang( ?typeLabel ) = "en" )
  }
}
GROUP BY ?type ?typeLabel
ORDER BY DESC ( ?count )

Got 2,484 rows and 3 columns, showing the first 5 and last 5 rows below:
| type                                                | typeLabel                                  | count            |
| --------------------------------------------------- | ------------------------------------------ | ---------------- |
| collection (wd:Q2668072)                            | collection (en)                            | 498469 (xsd:int) |
| item of collection or exhibition (wd:Q18593264)     | item of collection or exhibition (en)      | 118317 (xsd:int) |
| human (wd:Q5)                                       | human (en)                                 | 13416 (xsd:int)  |
| city in the United States (wd:Q1093829)             | city in the United States (en)             | 1677 (xsd:int)   |
| county seat (wd:Q62049)                             | county seat (en)                           | 804 (xsd:int)    |
| ...                                                 | ...                                        | ...              |
| gift (wd:Q707482)                                   | gift (en)                                  | 1 (xsd:int)      |
| naval offensive (wd:Q6982012)                       | naval offensive (en)                       | 1 (xsd:int)      |
| National Parkway (wd:Q6979644)                      | National Parkway (en)                      | 1 (xsd:int)      |
| National Reserve of the United States (wd:Q6978068) | National Reserve of the United States (en) | 1 (xsd:int)      |
| holy city (wd:Q692581)                              | holy city (en)                             | 1 (xsd:int)      |

The different types of items that have a U.S. National Archives Identifier (wd:P1225), along with the total count of how many items of each type exist, can be found using this query. The results are ordered by the total count in descending order. For example, the top types are: collection (498,469), item of collection or exhibition (118,317), human (13,416), city in the United States (1,677), and county seat (804). The query provides the full list of types and their counts.

[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 different types of items that have a U.S. National Archives Identifier, along with the total count of how many items of each type exist, ordered by the total count in descending order?

[Assistant]
Let's break down the question:

1. We need to find all items that have a U.S. National Archives Identifier.
2. For each such item, we want to determine its "type" (usually rdf:type or wdt:P31, "instance of").
3. For each type, we want to count how many items of that type have a U.S. National Archives Identifier.
4. The results should be ordered by the count in descending order.

First, let's verify the property for "U.S. National Archives Identifier". I'll search for this property in Wikidata.

[Tool]
Top 10 property alternatives:
1. U.S. National Archives Identifier, also known as NAID, NARA identiifier, National Archives Identifier, Organization Name NAID, United States National Archives Identifier (wd:P1225 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier for the United States National Archives and Records Administration's online catalog
2. UK National Archives ID, also known as UKNA ID, NRA ID, TNA ID, TNA, Public Record Office (wd:P3029 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier for a person, family or organisation, in the UK's National Archives database
3. CofE archives place ID, also known as Archives and Manuscripts Catalogue place ID, Archives and Manuscripts Catalogue place identifier, Church of England archives place ID, Church of England archives place identifier, CofE archives place identifier (wd:P9491 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier for a place in the places database of the Church of E...f Lambeth Palace Library and the Church of England Record Centre
4. CofE archives name ID, also known as Archives and Manuscripts Catalogue name ID, Archives and Manuscripts Catalogue name identifier, Church of England archives name ID, Church of England archives name identifier, CofE archives name identifier (wd:P9485 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier for an entity in the names database of the Church of ...f Lambeth Palace Library and the Church of England Record Centre
5. archival creator authority record at the Archives nationales, also known as Archives nationales ID (wd:P3599 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier of the Archives Nationales (French National Archives)
6. National Archives of Australia entity ID, also known as NAA entity ID, RecordSearch person number, RecordSearch organisation number, RecordSearch identifier, RecordSearch ID (wd:P10856 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier for government agencies created by, and people and or...th of Australia, allocated by the National Archives of Australia
7. CofE archives catalogue ID, also known as Church of England archives catalogue identifier, CofE archives catalogue identifier, Church of England archives catalogue ID, Archives and Manuscripts Catalogue catalogue identifier, Archives and Manuscripts Catalogue catalogue ID (wd:P9483 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier for a catalogue item in the Church of England's Natio...f Lambeth Palace Library and the Church of England Record Centre
8. Smithsonian resource ID, also known as identifier for a resource held by the Smithsonian Institution, SIID, SI Record ID, Smithsonian ID, Smithsonian Institution resource ID (wd:P7851 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier for a resource held by the Smithsonian Institution
9. National Library of Wales Authority ID, also known as National Library of Wales Archives and Manuscripts, National Library of Wales Archives and Manuscripts identifier, NLoW ID, NLW Archives and Manuscripts identifier, NLW identifier (wd:P2966 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier of persons, corporate entities and families in the National Library of Wales Archives and Manuscripts database
10. Dictionary of Archives Terminology ID, also known as DAT ID, SAA ID (wd:P11567 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier for an entry in the Society of American Archivists' Dictionary of Archives Terminology

[Assistant]
The property for "U.S. National Archives Identifier" is wd:P1225.

Next, we need to find all items that have this property, and for each such item, get its type (instance of, wd:P31). Then, we need to count how many items of each type exist, and order the results by count in descending order.

I'll now construct a SPARQL query to do this.

[Tool]
Got 2,484 rows and 2 columns, showing the first 5 and last 5 rows below:
| type                                                | count            |
| --------------------------------------------------- | ---------------- |
| collection (wd:Q2668072)                            | 498469 (xsd:int) |
| item of collection or exhibition (wd:Q18593264)     | 118317 (xsd:int) |
| human (wd:Q5)                                       | 13416 (xsd:int)  |
| city in the United States (wd:Q1093829)             | 1677 (xsd:int)   |
| county seat (wd:Q62049)                             | 804 (xsd:int)    |
| ...                                                 | ...              |
| gift (wd:Q707482)                                   | 1 (xsd:int)      |
| naval offensive (wd:Q6982012)                       | 1 (xsd:int)      |
| National Parkway (wd:Q6979644)                      | 1 (xsd:int)      |
| National Reserve of the United States (wd:Q6978068) | 1 (xsd:int)      |
| holy city (wd:Q692581)                              | 1 (xsd:int)      |

[Tool]
Got 2,484 rows and 3 columns, showing the first 5 and last 5 rows below:
| type                                                | typeLabel                                  | count            |
| --------------------------------------------------- | ------------------------------------------ | ---------------- |
| collection (wd:Q2668072)                            | collection (en)                            | 498469 (xsd:int) |
| item of collection or exhibition (wd:Q18593264)     | item of collection or exhibition (en)      | 118317 (xsd:int) |
| human (wd:Q5)                                       | human (en)                                 | 13416 (xsd:int)  |
| city in the United States (wd:Q1093829)             | city in the United States (en)             | 1677 (xsd:int)   |
| county seat (wd:Q62049)                             | county seat (en)                           | 804 (xsd:int)    |
| ...                                                 | ...                                        | ...              |
| gift (wd:Q707482)                                   | gift (en)                                  | 1 (xsd:int)      |
| naval offensive (wd:Q6982012)                       | naval offensive (en)                       | 1 (xsd:int)      |
| National Parkway (wd:Q6979644)                      | National Parkway (en)                      | 1 (xsd:int)      |
| National Reserve of the United States (wd:Q6978068) | National Reserve of the United States (en) | 1 (xsd:int)      |
| holy city (wd:Q692581)                              | holy city (en)                             | 1 (xsd:int)      |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly answers the user's question by retrieving all types (wd:P31) of items that have a U.S. National Archives Identifier (wd:P1225), counting the number of items per type, and ordering the results by count in descending order. The query also retrieves optional English labels for each type. The answer summary is accurate and matches the query result. All requirements are met, and the query follows the specified rules.