PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?province ?provinceLabel ?country ?countryLabel WHERE {
  ?province wdt:P31 wd:Q34876 .
  ?province wdt:P131 ?country .
  ?country wdt:P31 wd:Q6256 .
  OPTIONAL {
    ?province rdfs:label ?provinceLabel FILTER ( LANG( ?provinceLabel ) = "en" )
  }
  OPTIONAL {
    ?country rdfs:label ?countryLabel FILTER ( LANG( ?countryLabel ) = "en" )
  }
}
LIMIT 100

Got 12 rows and 4 columns, showing the first 5 and last 5 rows below:
| province                                | provinceLabel                | country                                    | countryLabel                          |
| --------------------------------------- | ---------------------------- | ------------------------------------------ | ------------------------------------- |
| Province of Puerto Rico (wd:Q104414539) | Province of Puerto Rico (en) | Spain (wd:Q29)                             | Spain (en)                            |
| Province of Madrid (wd:Q28769526)       | Province of Madrid (en)      | Spain (wd:Q29)                             | Spain (en)                            |
| Province of Limburg (wd:Q1569278)       | Province of Limburg (en)     | Belgium (wd:Q31)                           | Belgium (en)                          |
| Holland (wd:Q2805976)                   | Holland (en)                 | Netherlands (wd:Q55)                       | Netherlands (en)                      |
| Baluchistan (wd:Q2336399)               | Baluchistan (en)             | Pakistan (wd:Q843)                         | Pakistan (en)                         |
| ...                                     | ...                          | ...                                        | ...                                   |
| Nam Hà (wd:Q107580020)                  | Nam Hà (en)                  | Vietnam (wd:Q881)                          | Vietnam (en)                          |
| Nam Hà (wd:Q10797051)                   | Nam Hà (en)                  | Vietnam (wd:Q881)                          | Vietnam (en)                          |
| Buhumuza (wd:Q131844468)                | Buhumuza (en)                | Burundi (wd:Q967)                          | Burundi (en)                          |
| Butanyerera (wd:Q131844755)             | Butanyerera (en)             | Burundi (wd:Q967)                          | Burundi (en)                          |
| Kinshasa (wd:Q2994115)                  | Kinshasa (en)                | Democratic Republic of the Congo (wd:Q974) | Democratic Republic of the Congo (en) |

Here are some provinces and their corresponding countries. The query retrieves entities that are instances of 'province' and are located in an administrative territorial entity that is a country. The results include the province and country labels for readability.

[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 provinces and their corresponding countries?

[Assistant]
To answer the question "What are the provinces and their corresponding countries?", I need to identify the entity type "province" and find the property that links provinces to their countries. Then I will query for provinces and their corresponding countries.

Step 1: Search for the entity "province" to identify its Wikidata entity.
Step 2: Find the property that links provinces to countries.
Step 3: Query for provinces and their corresponding countries.

I will start with step 1 and search for the entity "province".

[Tool]
Top 10 entity alternatives:
1. province, also known as provinces (wd:Q34876): administrative division in several countries
2. oblast, also known as province, oblyst, voblasts, voblast (wd:Q171308): first-level administrative division in several countries
3. eyalet, also known as Pashalic, Pashalik, Pashaluk, province (wd:Q44565): first-order administrative division of the Ottoman Empire (to 1867)
4. historical province of France, also known as Province, Provinces of France, province of France (wd:Q209495): former subdivisions of France
5. vilayet, also known as province, vilayet of the Ottoman Empire (wd:Q1462047): first-order administrative division of the Ottoman Empire (from 1867)order
6. circuit, also known as dao, province (wd:Q718570): administrative territorial entity; est. in Han Dynasty, commonly...ed by Confucius governing philosophy; equivalent to county level
7. The Province, also known as Province (wd:Q132110): newspaper published in Vancouver, British Columbia, Canada
8. zhou, also known as tcheou, province, prefecture, district, inspectorate (wd:Q1070912): historical administrative and political division of China
9. ashkharh, also known as province (wd:Q4073603): type of administrative units of Greater Armenia
10. The Province, also known as Province (wd:Q2366955): 1991 film by Jan Bosdriesz

[Assistant] The entity "province" is represented by wd:Q34876 in Wikidata as an administrative division in several countries. Now, I will proceed to step 2 and search for the property that links provinces to their countries. I will search for properties of the entity "province" related to "country".

[Tool]
Top 10 property alternatives:
1. 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)
2. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
3. 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
4. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
5. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as p/wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
6. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as p/wdt): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
7. partially coincident with, also known as intersecting with, has overlap with, has common parts with, has common members with, has common instances with (wd:P1382 as p/wdt): object that partially overlaps with the subject in its instances, parts, or members, different from
8. permanent duplicated item, also known as same concept as, same as, duplicate of, permanently duplicated item, duplicate of item (wd:P2959 as p/wdt): this item duplicates another item and the two can't be merged, a... cdowiki, gomwiki, nanwiki).  Use P31=Q17362920 for other wikis.
9. FactGrid item ID, also known as FG ID, FactGrid ID (wd:P8168 as wdtn/wdt/p): identifier for an item in FactGrid
10. different from, also known as not to be confused with, to be distinguished from, similar to, see also, rejected match (wd:P1889 as p/wdt): item that is different from another item, with which it may be confused

No other items found

[Assistant]
The search for properties of the entity "province" related to "country" did not return a direct property linking provinces to countries. I will try a more general approach and search for properties related to "country" that could be used to link administrative divisions to countries.

I will search for properties related to "country" in general.

[Tool]
Top 10 property alternatives:
1. valid in place, also known as applies to country, applies to location, applies to place, country, true in (wd:P3005 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): place where a statement is valid, applies to part
2. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
3. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): the object is a country that recognizes the subject as its citizen, country
4. country, also known as sovereign state, state, land, host country (wd:P17 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
5. operating area, also known as province served, serves jurisdiction, serves geographic region, serves geographic area, serves area (wd:P2541 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, location
6. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): most specific known birth location of a person, animal or fictional character, location
7. continent (wd:P30 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): continent of which the subject is a part, located in/on physical feature
8. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
9. place of publication, also known as published in (place), where published, release region, released in, published from (wd:P291 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): geographical place of publication of the edition (use 1st edition when referring to works), significant place
10. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object

[Assistant]
The property "located in the administrative territorial entity" (wdt:P131) seems relevant for linking provinces to their countries because it indicates the administrative territorial entity in which an item is located. Also, the property "country" (wdt:P17) indicates the sovereign state that an item is in.

I will now build a SPARQL query to find entities that are instances of "province" (wd:Q34876) and get their corresponding country using the property "country" (wdt:P17). I will also optionally get the labels of the provinces and countries for better readability.

[Tool]
Got 100 rows and 4 columns, showing the first 5 and last 5 rows below:
| province                           | provinceLabel             | country                          | countryLabel           |
| ---------------------------------- | ------------------------- | -------------------------------- | ---------------------- |
| Pashalik of Timbuktu (wd:Q3360048) | Pashalik of Timbuktu (en) | Morocco (wd:Q1028)               | Morocco (en)           |
| wd:Q11919511                       |                           | Morocco (wd:Q1028)               | Morocco (en)           |
| Dendi Kingdom (wd:Q761103)         | Dendi Kingdom (en)        | Niger (wd:Q1032)                 | Niger (en)             |
| Dendi Kingdom (wd:Q761103)         | Dendi Kingdom (en)        | Nigeria (wd:Q1033)               | Nigeria (en)           |
| wd:Q3072765                        |                           | Senegal (wd:Q1041)               | Senegal (en)           |
| ...                                | ...                       | ...                              | ...                    |
| wd:Q131295809                      |                           | Kingdom of Mexico (wd:Q30751596) | Kingdom of Mexico (en) |
| wd:Q131295813                      |                           | Kingdom of Mexico (wd:Q30751596) | Kingdom of Mexico (en) |
| wd:Q131295811                      |                           | Kingdom of Mexico (wd:Q30751596) | Kingdom of Mexico (en) |
| Province of Limburg (wd:Q1569278)  | Province of Limburg (en)  | Belgium (wd:Q31)                 | Belgium (en)           |
| wd:Q2038078                        |                           | Belgium (wd:Q31)                 | Belgium (en)           |

[Assistant]
I found provinces and their corresponding countries using the property "country" (wdt:P17). However, some provinces do not have labels, and some provinces seem to be linked to multiple countries, which might indicate historical or overlapping entities.

I will now try to find provinces and their corresponding countries using the property "located in the administrative territorial entity" (wdt:P131) to see if it yields better results. I will query for provinces that are located in an administrative territorial entity that is a country.

[Tool]
Got 12 rows and 4 columns, showing the first 5 and last 5 rows below:
| province                                | provinceLabel                | country                                    | countryLabel                          |
| --------------------------------------- | ---------------------------- | ------------------------------------------ | ------------------------------------- |
| Province of Puerto Rico (wd:Q104414539) | Province of Puerto Rico (en) | Spain (wd:Q29)                             | Spain (en)                            |
| Province of Madrid (wd:Q28769526)       | Province of Madrid (en)      | Spain (wd:Q29)                             | Spain (en)                            |
| Province of Limburg (wd:Q1569278)       | Province of Limburg (en)     | Belgium (wd:Q31)                           | Belgium (en)                          |
| Holland (wd:Q2805976)                   | Holland (en)                 | Netherlands (wd:Q55)                       | Netherlands (en)                      |
| Baluchistan (wd:Q2336399)               | Baluchistan (en)             | Pakistan (wd:Q843)                         | Pakistan (en)                         |
| ...                                     | ...                          | ...                                        | ...                                   |
| Nam Hà (wd:Q107580020)                  | Nam Hà (en)                  | Vietnam (wd:Q881)                          | Vietnam (en)                          |
| Nam Hà (wd:Q10797051)                   | Nam Hà (en)                  | Vietnam (wd:Q881)                          | Vietnam (en)                          |
| Buhumuza (wd:Q131844468)                | Buhumuza (en)                | Burundi (wd:Q967)                          | Burundi (en)                          |
| Butanyerera (wd:Q131844755)             | Butanyerera (en)             | Burundi (wd:Q967)                          | Burundi (en)                          |
| Kinshasa (wd:Q2994115)                  | Kinshasa (en)                | Democratic Republic of the Congo (wd:Q974) | Democratic Republic of the Congo (en) |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?item ?dimension ?siConversion ?measuredPhysicalQuantity WHERE {
  ?item wdt:P2370 ?siConversion ; wdt:P111 ?measuredPhysicalQuantity .
  OPTIONAL {
    ?item wdt:P4020 ?dimension .
  }
}
LIMIT 50

Got 50 rows and 4 columns, showing the first 5 and last 5 rows below:
| item                                        | dimension | siConversion           | measuredPhysicalQuantity                                         |
| ------------------------------------------- | --------- | ---------------------- | ---------------------------------------------------------------- |
| international nautical mile (wd:Q100036106) |           | 1852 (xsd:decimal)     | distance (wd:Q126017)                                            |
| international mil (wd:Q100039658)           |           | 2.54e-05 (xsd:decimal) | length (wd:Q36253)                                               |
| inch (wd:Q100046246)                        |           | 0.0254 (xsd:decimal)   | length (wd:Q36253)                                               |
| fathom (wd:Q100051890)                      |           | 1.8288 (xsd:decimal)   | length (wd:Q36253)                                               |
| US survey furlong (wd:Q100054009)           |           | 201.168 (xsd:decimal)  | length (wd:Q36253)                                               |
| ...                                         | ...       | ...                    | ...                                                              |
| watt per hertz (wd:Q101460900)              |           | 1 (xsd:decimal)        | spectral radiant flux (wd:Q101460704)                            |
| watt per steradian hertz (wd:Q101461942)    |           | 1 (xsd:decimal)        | spectral radiant intensity in terms of frequency (wd:Q101461777) |
| square yoctometre (wd:Q101463141)           |           | 1e-48 (xsd:decimal)    | area (wd:Q11500)                                                 |
| square zeptometre (wd:Q101463237)           |           | 1e-42 (xsd:decimal)    | area (wd:Q11500)                                                 |
| square attometre (wd:Q101463321)            |           | 1e-36 (xsd:decimal)    | area (wd:Q11500)                                                 |

The query returns items (units) that have a conversion to SI unit (wdt:P2370) and a measured physical quantity (wdt:P111). It also optionally returns the dimension (wdt:P4020) of the unit if available. The conversion to SI unit is given as a decimal value. The measured physical quantity indicates the physical quantity the unit measures, such as length or area. The dimension property, when present, is in MathML format and does not have English labels. This query provides the dimensions, items (units), SI conversions, and measured physical quantities for units that have a conversion to SI unit and a measured physical quantity.

[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 dimensions, items, SI conversions, and units for items that have a conversion to SI unit and a measured physical quantity?

[Tool]
Top 10 entity alternatives:
1. dimension, also known as dimensionality, number of dimensions (wd:Q4440864): maximum number of independent directions within a mathematical space
2. dimension of a vector space, also known as Hamel dimension, vector space dimension, infinite dimensional vector space, dimension of a linear space, dimension (wd:Q929302): number of vectors in any basis of the vector space
3. quantity dimension, also known as dimension of physical quantity, dimension of a quantity, dimension (wd:Q19110): expression of a physical quantity via the basic quantities
4. Smilodon gracilis, also known as Dimension (wd:Q3506463): species of mammal
5. dimension, also known as Dimension (data warehouse) (wd:Q4449270): structure that categorizes facts and measures in a data warehouse
6. Unified Code for Units of Measure, also known as dimension, dimension of a quantity, quantity dimension, The Unified Code for Units of Measure, UCUM (wd:Q2494286): system of codes for unambiguously representing measurement units
7. Dimension (wd:Q385773): single by Wolfmother
8. order dimension, also known as dimension of a partially ordered set, dimension, poset dimension, dimension of poset, dimension of a poset (wd:Q7100431): mathematical measure for partial orders
9. scaling dimension, also known as anomalous dimension, anomalous scaling dimension, dimension (wd:Q4769942): in quantum field theory, the eigenvalue of a local operator under spacetime dilatations
10. Adobe Dimensions, also known as Adobe Dimension, Dimension, Dimensions (wd:Q11190003): software

[Tool]
Top 10 entity alternatives:
1. item, also known as video game item, pickup, game loot, pick-up, monster drop (wd:Q859965): object within a game that can be collected or otherwise obtained
2. statistical unit, also known as entity, item (wd:Q3409269): in statistics, anything that can be described and considered separately
3. concrete object, also known as element, existent object, item, object, partially tangible object (wd:Q4406616): a particular or specific instance of an entity. To describe tangible or physical objects use Q223557
4. Item (wd:Q58478934): 2019 South Korean television series
5. Item (wd:Q5604164): 1951 nuclear test
6. item, also known as archive item (wd:Q11723795): unit of measure in archival science
7. Institut des textes et manuscrits modernes, also known as ITEM (wd:Q1579401): Research Institute based in France
8. item (wd:Q20919822)
9. Item (wd:Q107667821): locality in Bende, Abia State, Nigeria
10. ITeM, also known as Instituto del Tercer Mundo, Third World Institute (wd:Q5975216): Non-Governmental Organization and headquartered in Montevideo, Uruguay

[Tool]
Top 10 entity alternatives:
1. Conversion to sirolimus. (wd:Q33377019): scientific article
2. Simplified methadone conversion (wd:Q46602378): scientific article published in June 2005
3. Singing voice conversion (wd:Q125963602): US patent 11183168
4. Single conversion advertisements (wd:Q119083012): US patent 11328321
5. conversion to SI unit, also known as conversion to coherent SI unit, conversion to SI base unit, SI unit equivalent (wd:P2370): conversion of the unit into a coherent SI unit
6. Conversion Table-Conventional to SI Units (wd:Q89948214): scientific article published on 01 December 2011
7. Conversion to sinus rhythm (wd:Q46980587): scientific article published in February 2006
8. [Conversion signs in students] (wd:Q67928720): scientific article published on 01 January 1988
9. Conversion in sinus rhythm (wd:Q46969890): scientific article published in February 2006
10. Error in SI Conversion Factor (wd:Q87824095): scientific article published on 01 July 2016

[Tool]
Top 10 property alternatives:
1. conversion to SI unit, also known as conversion to coherent SI unit, conversion to SI base unit, SI unit equivalent (wd:P2370 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): conversion of the unit into a coherent SI unit, conversion to standard unit
2. conversion to standard unit, also known as unit conversion (wd:P2442 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): translation of the value of a measurement to different units
3. recommended unit of measurement, also known as measured in, unit of measurement, unit, standard unit of measurement (wd:P8111 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): unit in which a quantity is measured as recommended by a standard (SI, ISO, IEC, etc.)
4. unit symbol (wd:P5061 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): abbreviation of a unit for each language; if not provided, then it should default to English
5. measured physical quantity, also known as measure of, measures, physical quantity, quantity (wd:P111 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): value of a physical property expressed as number multiplied by a unit
6. derived from base unit, also known as base units, base unit (wd:P12571 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): the base unit(s) that this derived unit is derived from
7. measurement scale, also known as measured by (wd:P1880 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): scale by which a phenomenon is measured
8. key performance indicator, also known as indicator, KPI, measured by (wd:P6563 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): measure used to track progress towards a target
9. determination method or standard, also known as rationale, standard, methodology, method of determination, measured by (wd:P459 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): how a value is determined, or the standard by which it is declared
10. UN/CEFACT Common Code, also known as unit code, UNUOM common code, UNUOM code, UNUOM, UNTDED common code (wd:P6512 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): unit of measurement identifier as defined by the UN/CEFACT in Re...n No. 20: Codes for Units of Measure Used in International Trade

[Tool]
Top 10 property alternatives:
1. ISQ dimension, also known as dimension, dimension of a derived quantity, observable dimension (wd:P4020 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): property of an observable physical quantity being a product of the ISQ base quantities (length, mass, time, etc.)
2. length, also known as size, long, LOA, distance, dimension (wd:P2043 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): measured dimension of an object
3. Dimensions Source ID (wd:P6180 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): unique identifier for a journal in the Dimensions database
4. Dimensions author ID (wd:P6178 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): unique identifier for an author in Dimensions
5. Dimensions Publication ID (wd:P6179 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): unique identifier for a work in the Dimensions database
6. Dimensions grant ID (wd:P6854 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): identifier of a scientific/research grant in Digital Science Dimensions, as reflected in SpringerNature SciGraph
7. area, also known as total area, surface area, surface, size, resolution (wd:P2046 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): area occupied by an object
8. width, also known as breadth, bus width, size (wd:P2049 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): width of an object, length
9. height, also known as heighth, size, depth over terrain (wd:P2048 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): vertical length of an entity, length
10. Dimensions.guide ID (wd:P6557 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): identifier on Dimensions.guide database

[Assistant]
I found relevant properties for the question:
- dimension of a derived quantity (wdt:P4020) for dimensions
- conversion to SI unit (wdt:P2370) for SI conversions
- measured physical quantity (wdt:P111) for measured physical quantity
- unit (wdt:P17) is not directly found but "unit" is often represented by the entity itself or by properties like "unit symbol" (wdt:P5061) or "recommended unit of measurement" (wdt:P8111)

I will now build a SPARQL query to find items that have a conversion to SI unit and a measured physical quantity, and retrieve their dimensions, items, SI conversions, and units.

[Tool]
SPARQL execution failed:
Error while executing a SERVICE request to <http://wikiba.se:80/ontology#label>: SERVICE responded with HTTP status code: 301, Moved Permanently. First 100 bytes of the response: '<html>
<head><title>301 Moved Permanently</title></head>
<body>
<center><h1>301 Moved Permanently'

[Assistant] The query failed because the SERVICE wikibase:label is not supported by the used QLever SPARQL endpoint. I will rewrite the query without using SERVICE wikibase:label and instead use optional rdfs:label for labels. Also, I realized that the property wdt:P17 is for country of origin, not unit. I will check for the property "unit" or "unit of measurement" related to the item. I will search for properties related to "unit" for an example item with conversion to SI unit.

[Tool] Got no rows and 2 columns

[Tool]
Top 10 property alternatives:
1. Wikidata property, also known as main property, property for this item, property, has property (wd:P1687 as p/wdt): main Wikidata property for this item
2. wurvoc.org measure ID, also known as wurvoc.org measure, wurvoc.org unit of measure, unit of measure in wurvoc.org, OM 1.8 measure ID, wurvoc.org ID (wd:P3328 as wdtn/wdt/p): concept in the Ontology of units of Measure and related concepts (OM) 1.8 of wurvoc.org
3. 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))
4. ISQ dimension, also known as dimension, dimension of a derived quantity, observable dimension (wd:P4020 as p/wdt): property of an observable physical quantity being a product of the ISQ base quantities (length, mass, time, etc.)
5. 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)
6. quantity symbol (string), also known as symbol, variable (wd:P416 as p/wdt): symbol for a mathematical or physical quantity
7. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
8. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
9. permanent duplicated item, also known as same concept as, same as, duplicate of, permanently duplicated item, duplicate of item (wd:P2959 as p/wdt): this item duplicates another item and the two can't be merged, a... cdowiki, gomwiki, nanwiki).  Use P31=Q17362920 for other wikis.
10. has characteristic, also known as has quality, inherent property, object has characteristic, parameter, quality (wd:P1552 as p/wdt): inherent or distinguishing quality or feature of the entity. Use a more specific property when possible

No other items found

[Tool]
Got 4,256 rows and 3 columns, showing the first 10 rows below:
| subject                                          | property                              | object                                     |
| ------------------------------------------------ | ------------------------------------- | ------------------------------------------ |
| day (wd:Q573)                                    | measured physical quantity (wdt:P111) | duration (wd:Q2199864)                     |
| 1 (wd:Q199)                                      | measured physical quantity (wdt:P111) | dimensionless quantity (wd:Q126818)        |
| therm (EC) (wd:Q100257348)                       | measured physical quantity (wdt:P111) | energy (wd:Q11379)                         |
| metre (wd:Q11573)                                | measured physical quantity (wdt:P111) | distance (wd:Q126017)                      |
| kilogram metre per square second (wd:Q106645249) | measured physical quantity (wdt:P111) | force (wd:Q11402)                          |
| second (wd:Q11574)                               | measured physical quantity (wdt:P111) | specific impulse by weight (wd:Q100828354) |
| US survey acre (wd:Q100055982)                   | measured physical quantity (wdt:P111) | area (wd:Q11500)                           |
| pound (wd:Q100995)                               | measured physical quantity (wdt:P111) | mass (wd:Q11423)                           |
| special drawing rights (wd:Q363958)              | measured physical quantity (wdt:P111) | currency (wd:Q8142)                        |
| degree Wedgwood (wd:Q100149279)                  | measured physical quantity (wdt:P111) | temperature (wd:Q11466)                    |
| ...                                              | ...                                   | ...                                        |

[Tool]
Got 2,535 rows and 3 columns, showing the first 10 rows below:
| subject                             | property                          | object                         |
| ----------------------------------- | --------------------------------- | ------------------------------ |
| day (wd:Q573)                       | conversion to SI unit (wdt:P2370) | 86400 (xsd:decimal)            |
| week (wd:Q23387)                    | conversion to SI unit (wdt:P2370) | 604800 (xsd:decimal)           |
| 1 (wd:Q199)                         | conversion to SI unit (wdt:P2370) | 1 (xsd:decimal)                |
| leap year (wd:Q19828)               | conversion to SI unit (wdt:P2370) | 31622400 (xsd:decimal)         |
| hour (wd:Q25235)                    | conversion to SI unit (wdt:P2370) | 3600 (xsd:decimal)             |
| minute (wd:Q7727)                   | conversion to SI unit (wdt:P2370) | 60 (xsd:decimal)               |
| light-year (wd:Q531)                | conversion to SI unit (wdt:P2370) | 9460730472580800 (xsd:decimal) |
| litre (wd:Q11582)                   | conversion to SI unit (wdt:P2370) | 0.001 (xsd:decimal)            |
| speed of light in vacuum (wd:Q2111) | conversion to SI unit (wdt:P2370) | 2.99792e+08 (xsd:decimal)      |
| square kilometre (wd:Q712226)       | conversion to SI unit (wdt:P2370) | 1000000 (xsd:decimal)          |
| ...                                 | ...                               | ...                            |

[Assistant] I found that items with measured physical quantity (wdt:P111) and conversion to SI unit (wdt:P2370) exist. The conversion to SI unit is a decimal value representing the conversion factor. The dimension of the item can be retrieved with property ISQ dimension (wdt:P4020). The unit itself is the item. I will now construct a query that returns items with these properties: dimension (wdt:P4020), conversion to SI unit (wdt:P2370), measured physical quantity (wdt:P111), and the item itself as the unit. I will also retrieve labels for better readability using optional rdfs:label.

[Tool]
SPARQL execution failed:
Tried to allocate 3.3 GB, but only 2.2 GB were available. Clear the cache or allow more memory for QLever during startup

[Assistant] The query is too large and causes memory issues. I will reduce the limit to 10 to reduce memory usage and try again.

[Tool]
SPARQL execution failed:
Tried to allocate 3.3 GB, but only 2.2 GB were available. Clear the cache or allow more memory for QLever during startup

[Assistant] The query still causes memory issues. I will simplify the query by removing optional label retrieval and only return the item, dimension, conversion to SI unit, and measured physical quantity IRIs. This should reduce memory usage.

[Tool]
Got 10 rows and 4 columns:
| item                                        | dimension | siConversion              | measuredPhysicalQuantity |
| ------------------------------------------- | --------- | ------------------------- | ------------------------ |
| international nautical mile (wd:Q100036106) |           | 1852 (xsd:decimal)        | distance (wd:Q126017)    |
| international mil (wd:Q100039658)           |           | 2.54e-05 (xsd:decimal)    | length (wd:Q36253)       |
| inch (wd:Q100046246)                        |           | 0.0254 (xsd:decimal)      | length (wd:Q36253)       |
| fathom (wd:Q100051890)                      |           | 1.8288 (xsd:decimal)      | length (wd:Q36253)       |
| US survey furlong (wd:Q100054009)           |           | 201.168 (xsd:decimal)     | length (wd:Q36253)       |
| US survey acre (wd:Q100055982)              |           | 4046.87 (xsd:decimal)     | area (wd:Q11500)         |
| township (wd:Q100059432)                    |           | 9.32396e+07 (xsd:decimal) | area (wd:Q11500)         |
| US survey mil (wd:Q100060248)               |           | 2.54001e-05 (xsd:decimal) | length (wd:Q36253)       |
| British Imperial inch (wd:Q100063122)       |           | 0.0254 (xsd:decimal)      | length (wd:Q36253)       |
| British Imperial foot (wd:Q100064794)       |           | 0.3048 (xsd:decimal)      | length (wd:Q36253)       |

[Tool]
Got 5 rows and 2 columns:
| dimension                                                                                | dimensionLabel |
| ---------------------------------------------------------------------------------------------------------- | -------------- |
| <math xmlns="http://www.w3.org/1...notation>
  </semantics>
</math> (<http://www.w3.org/1998/Math/MathML>) |                |
| <math xmlns="http://www.w3.org/1...notation>
  </semantics>
</math> (<http://www.w3.org/1998/Math/MathML>) |                |
| <math xmlns="http://www.w3.org/1...notation>
  </semantics>
</math> (<http://www.w3.org/1998/Math/MathML>) |                |
| <math xmlns="http://www.w3.org/1...notation>
  </semantics>
</math> (<http://www.w3.org/1998/Math/MathML>) |                |
| <math xmlns="http://www.w3.org/1...notation>
  </semantics>
</math> (<http://www.w3.org/1998/Math/MathML>) |                |

[Assistant]
I retrieved items that have a conversion to SI unit and a measured physical quantity. These items represent units. Some of them have a dimension (ISQ dimension) property, but the dimension values are in MathML format and do not have English labels.

The query results include:
- item (unit)
- dimension (ISQ dimension, if available)
- conversion to SI unit (decimal value)
- measured physical quantity (e.g., length, area)

I will now provide the final SPARQL query and answer.

[Tool] Stopped generation process


PREFIX p: <http://www.wikidata.org/prop/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
SELECT ?event ?eventLabel ?eventTime ( SUM( ?age ) AS ?sumOfAges ) WHERE {
  wd:Q41174436 wdt:P527 ?event .
  OPTIONAL {
    ?event wdt:P585 ?eventTime .
  }
  OPTIONAL {
    ?event rdfs:label ?eventLabel .
    FILTER ( LANG( ?eventLabel ) = "en" )
  }
  ?event p:P710 ?statement .
  ?statement ps:P710 ?participant .
  ?statement pq:P1352 ?position .
  FILTER ( ?position IN ( 1 , 2 , 3 ) ) ?participant wdt:P569 ?birthDate .
  BIND( YEAR( ?eventTime ) - YEAR( ?birthDate ) AS ?age )
}
GROUP BY ?event ?eventLabel ?eventTime
ORDER BY ?eventTime

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

1. 2020 Austrian Grand Prix on 2020-07-05, sum of ages: 75
2. 2020 Eifel Grand Prix on 2020-10-11, sum of ages: 89
3. 2020 Abu Dhabi Grand Prix on 2020-12-13, sum of ages: 89

Note: The data retrieved includes only these three events with the top 3 participants' ages summed. Other events may not have complete ranking or participant age data available in the knowledge graph.

[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]
To answer this question, I need to find the events of the 2020 Formula One World Championship, their event times, and the participants who ranked 1st, 2nd, or 3rd in each event along with their ages. Then I will calculate the sum of the ages of these top three participants for each event.

Step 1: Identify the entity for the 2020 Formula One World Championship.
Step 2: Find the events (races) that are part of this championship.
Step 3: Retrieve the event times for these events.
Step 4: Find the participants who ranked 1st, 2nd, or 3rd in each event.
Step 5: Retrieve the birth dates of these participants to calculate their ages at the time of the event.
Step 6: Calculate the sum of the ages of the top three participants for each event.

I will start by searching for the entity representing the 2020 Formula One World Championship.

[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 entity for the 2020 Formula One World Championship is wd:Q41174436.

Next, I will find the events (races) that are part of this championship and their event times.

[Tool] Got no rows and 3 columns

[Assistant] It seems that the property P3450 (part of the series) is not used for linking the events to the 2020 Formula One World Championship. I will try a different approach by searching for events that are part of the championship using a different property or by finding the races linked to the championship in another way. I will first check the properties of the 2020 Formula One World Championship entity to find how the events are linked.

[Tool]
Got 276 rows and 3 columns, showing the first 10 rows below:
| subject                                            | property                         | object                                                                                |
| -------------------------------------------------- | -------------------------------- | ------------------------------------------------------------------------------------------------------------------------- |
| 2020 Formula One World Championship (wd:Q41174436) | instance of (wdt:P31)            | Formula One season (wd:Q108861375)                                                                                |
| 2020 Formula One World Championship (wd:Q41174436) | Commons category (wdt:P373)      | 2020 in Formula One                                                                                |
| 2020 Formula One World Championship (wd:Q41174436) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/George%20Russell%202020%20Tuscan%20Grand%20Prix%20-%20race%20day.jpg> |
| 2020 Formula One World Championship (wd:Q41174436) | has part(s) (wdt:P527)           | 2020 Styrian Grand Prix (wd:Q95994243)                                                                                |
| 2020 Formula One World Championship (wd:Q41174436) | sport (wdt:P641)                 | Formula One racing (wd:Q2705092)                                                                                |
| 2020 Formula One World Championship (wd:Q41174436) | official website (wdt:P856)      | <https://www.formula1.com/en/racing/2020.html>                                                                            |
| 2020 Formula One World Championship (wd:Q41174436) | followed by (wdt:P156)           | 2021 Formula One World Championship (wd:Q72635834)                                                                        |
| 2020 Formula One World Championship (wd:Q41174436) | point in time (wdt:P585)         | 2020-01-01T00:00:00Z (xsd:dateTime)                                                                                |
| 2020 Formula One World Championship (wd:Q41174436) | start time (wdt:P580)            | 2020-03-15T00:00:00Z (xsd:dateTime)                                                                                |
| 2020 Formula One World Championship (wd:Q41174436) | topic's main category (wdt:P910) | wd:Q62392562                                                                                |
| ...                                                | ...                              | ...                                                                                |

[Assistant] The property "has part(s)" (wdt:P527) links the 2020 Formula One World Championship (wd:Q41174436) to its events. I will now query the events linked by this property and their event times.

[Tool]
SPARQL execution failed:
Error while executing a SERVICE request to <http://wikiba.se:80/ontology#label>: SERVICE responded with HTTP status code: 301, Moved Permanently. First 100 bytes of the response: '<html>
<head><title>301 Moved Permanently</title></head>
<body>
<center><h1>301 Moved Permanently'

[Assistant] The SERVICE wikibase:label is not supported by the endpoint, so I will rewrite the query without it and instead use optional clauses to get the labels with rdfs:label. I will try again to get the events and their event times.

[Tool]
Got 19 rows and 3 columns, showing the first 5 and last 5 rows below:
| event                                                             | eventLabel                                             | eventTime                           |
| ----------------------------------------------------------------- | ------------------------------------------------------ | ----------------------------------- |
| 2020 Formula One World Constructors' Championship (wd:Q108861762) | 2020 Formula One World Constructors' Championship (en) |                                     |
| 2020 Formula One World Drivers' Championship (wd:Q108861640)      | 2020 Formula One World Drivers' Championship (en)      |                                     |
| 2020 Austrian Grand Prix (wd:Q67123914)                           | 2020 Austrian Grand Prix (en)                          | 2020-07-05T00:00:00Z (xsd:dateTime) |
| 2020 Styrian Grand Prix (wd:Q95994243)                            | 2020 Styrian Grand Prix (en)                           | 2020-07-12T00:00:00Z (xsd:dateTime) |
| 2020 Hungarian Grand Prix (wd:Q67123916)                          | 2020 Hungarian Grand Prix (en)                         | 2020-07-19T00:00:00Z (xsd:dateTime) |
| ...                                                               | ...                                                    | ...                                 |
| 2020 Emilia Romagna Grand Prix (wd:Q97653411)                     | 2020 Emilia Romagna Grand Prix (en)                    | 2020-11-01T00:00:00Z (xsd:dateTime) |
| 2020 Turkish Grand Prix (wd:Q98642744)                            | 2020 Turkish Grand Prix (en)                           | 2020-11-15T00:00:00Z (xsd:dateTime) |
| 2020 Bahrain Grand Prix (wd:Q67123905)                            | 2020 Bahrain Grand Prix (en)                           | 2020-11-29T00:00:00Z (xsd:dateTime) |
| 2020 Sakhir Grand Prix (wd:Q98754976)                             | 2020 Sakhir Grand Prix (en)                            | 2020-12-06T00:00:00Z (xsd:dateTime) |
| 2020 Abu Dhabi Grand Prix (wd:Q98774921)                          | 2020 Abu Dhabi Grand Prix (en)                         | 2020-12-13T00:00:00Z (xsd:dateTime) |

[Assistant]
I have found the events (races) of the 2020 Formula One World Championship along with their event times. Now I will find the participants who ranked 1st, 2nd, or 3rd in each event and their birth dates to calculate their ages at the time of the event. Then I will calculate the sum of the ages of these top three participants for each event.

I will start by querying the top 3 ranked participants for each event.

[Tool] Got no rows and 6 columns

[Assistant]
The query to find the participants who ranked 1st, 2nd, or 3rd in each event did not return any results. It seems the properties used might not be correct for representing race results and positions.

I will try to find the correct properties for race results and positions in Formula One events by searching for properties related to "ranking" or "position" in the context of the events.

[Tool]
Top 10 property alternatives:
1. ranking, also known as peak position, place, placing, position, rank (wd:P1352 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): subject's ordinal position as qualitatively evaluated relative to other members of a group
2. series ordinal, also known as ordinal, unit number, sort order, sorting order, series number (wd:P1545 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): position of an item in its parent series (most frequently a 1-ba...d from "ranking" defined as a property for evaluating a quality)
3. military or police rank, also known as military rank, naval rank, police rank, rank (wd:P410 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): military or police rank achieved by a person (should usually hav...ualifier), or military or police rank associated with a position
4. taxon rank, also known as taxonomic rank, type of taxon, rank (wd:P105 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): level in a taxonomic hierarchy, instance of
5. dan/kyu rank, also known as go rank, wushu rank, shogi rank, renju rank, kendo rank (wd:P468 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): rank system used in several board games (e.g. go, shogi, renju), martial arts (e.g. judo, kendo, wushu) and some other games
6. number of reviews/ratings, also known as number of reviews, ratings, reviews, number of ratings (wd:P7887 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): qualifier on review score to state the number of user reviews, user ratings or critic reviews
7. rating (wd:P4271 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): qualifier to indicate a score given by the referenced source indicating the quality or completeness of the statement
8. Qualis rank, also known as Qualis ranking (wd:P9683 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): rank of an academic journal on the Qualis/CAPES system
9. ordered by (wd:P8004 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): subject that ordered the act
10. The Top Tens ID, also known as The Top Tens identifier, Top Ten Lists at TheTopTens ID, TTT ID (wd:P7157 as prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): item's ID on The Top Tens website

[Assistant]
The property "ranking" (wdt:P1352) is indeed the correct property for the position or rank of a participant in an event. I will try a different approach to find the top 3 participants in each event by looking for participants in the event with their ranking as a qualifier.

I will first check the statements for one event to understand how the ranking and participants are represented. I will pick the "2020 Austrian Grand Prix" (wd:Q67123914) as an example.

[Tool]
Got 186 rows and 3 columns, showing the first 10 rows below:
| subject                                 | property                    | object                                                                               |
| --------------------------------------- | --------------------------- | ------------------------------------------------------------------------------------ |
| 2020 Austrian Grand Prix (wd:Q67123914) | instance of (wdt:P31)       | Austrian Grand Prix (wd:Q7876)                                                       |
| 2020 Austrian Grand Prix (wd:Q67123914) | country (wdt:P17)           | Austria (wd:Q40)                                                                     |
| 2020 Austrian Grand Prix (wd:Q67123914) | Commons category (wdt:P373) | 2020 Austrian Grand Prix                                                             |
| 2020 Austrian Grand Prix (wd:Q67123914) | image (wdt:P18)             | <http://commons.wikimedia.org/wiki/Special:FilePath/Circuit%20Red%20Bull%20Ring.svg> |
| 2020 Austrian Grand Prix (wd:Q67123914) | part of (wdt:P361)          | 2020 Formula One World Championship (wd:Q41174436)                                   |
| 2020 Austrian Grand Prix (wd:Q67123914) | location (wdt:P276)         | Red Bull Ring (wd:Q171566)                                                           |
| 2020 Austrian Grand Prix (wd:Q67123914) | sport (wdt:P641)            | Formula One racing (wd:Q2705092)                                                     |
| 2020 Austrian Grand Prix (wd:Q67123914) | official name (wdt:P1448)   | Formula 1 Großer Preis von Österreich 2020 (de)                                      |
| 2020 Austrian Grand Prix (wd:Q67123914) | point in time (wdt:P585)    | 2020-07-05T00:00:00Z (xsd:dateTime)                                                  |
| 2020 Austrian Grand Prix (wd:Q67123914) | participant (wdt:P710)      | Lewis Hamilton (wd:Q9673)                                                            |
| ...                                     | ...                         | ...                                                                                |

[Assistant]
The property "participant" (wdt:P710) links the event to participants. However, this does not give the ranking directly. I will check if there are statements about the event that include ranking information.

I will look for statements where the event is the subject and see if there are qualifiers indicating ranking or position.

[Tool]
Got 20 rows and 3 columns, showing the first 10 rows below:
| subject                                 | property             | object                                           |
| --------------------------------------- | -------------------- | ------------------------------------------------ |
| 2020 Austrian Grand Prix (wd:Q67123914) | participant (p:P710) | s:Q67123914-09e673d7-4df6-43c6-c303-8361a11a95ba |
| 2020 Austrian Grand Prix (wd:Q67123914) | participant (p:P710) | s:Q67123914-19154765-4d6b-e8d4-69b3-0f4b3aaeef90 |
| 2020 Austrian Grand Prix (wd:Q67123914) | participant (p:P710) | s:Q67123914-19915e08-4ed2-fb79-b45a-5cca6f76f379 |
| 2020 Austrian Grand Prix (wd:Q67123914) | participant (p:P710) | s:Q67123914-2d0c497d-4e09-1767-eabc-cebe025ef3c1 |
| 2020 Austrian Grand Prix (wd:Q67123914) | participant (p:P710) | s:Q67123914-47aa26d2-479c-a635-991a-ec8dd4382a1d |
| 2020 Austrian Grand Prix (wd:Q67123914) | participant (p:P710) | s:Q67123914-503432db-49f8-0a73-a56b-bfad0d47aaa7 |
| 2020 Austrian Grand Prix (wd:Q67123914) | participant (p:P710) | s:Q67123914-7508ef79-47ac-700f-e3b0-005d74a781fa |
| 2020 Austrian Grand Prix (wd:Q67123914) | participant (p:P710) | s:Q67123914-75bcf34e-4876-296d-5a0c-95cb670fdeba |
| 2020 Austrian Grand Prix (wd:Q67123914) | participant (p:P710) | s:Q67123914-7c8e4130-4bea-1a42-90a9-ee5394a2c645 |
| 2020 Austrian Grand Prix (wd:Q67123914) | participant (p:P710) | s:Q67123914-7f6da9be-4904-4c7c-1a94-b5da012bfa07 |
| ...                                     | ...                  | ...                                              |

[Assistant] The property "participant" (p:P710) has statements with statement nodes. I will check the qualifiers of these statements to find the ranking or position information. I will look at the qualifiers of one of these statement nodes.

[Tool]
Got 6 rows and 3 columns:
| subject                                          | property              | object                             |
| ------------------------------------------------ | --------------------- | ---------------------------------- |
| s:Q67123914-09e673d7-4df6-43c6-c303-8361a11a95ba | participant (ps:P710) | Charles Leclerc (wd:Q17541912)     |
| s:Q67123914-09e673d7-4df6-43c6-c303-8361a11a95ba | ranking (pq:P1352)    | 2 (xsd:decimal)                    |
| s:Q67123914-09e673d7-4df6-43c6-c303-8361a11a95ba | wikibase:rank         | wikibase:NormalRank                |
| s:Q67123914-09e673d7-4df6-43c6-c303-8361a11a95ba | rdf:type              | wikibase:BestRank                  |
| s:Q67123914-09e673d7-4df6-43c6-c303-8361a11a95ba | ranking (pqv:P1352)   | v:45430454bd0f3bc0d9093c52b6acfc2b |
| s:Q67123914-09e673d7-4df6-43c6-c303-8361a11a95ba | rdf:type              | wikibase:Statement                 |

[Assistant]
The ranking (pq:P1352) qualifier on the participant statement indicates the position of the participant in the event. This is what I need.

I will now construct a query to get the events, their event times, the top 3 participants with their birth dates, and calculate the sum of their ages at the time of the event.

[Tool]
Got 3 rows and 4 columns:
| event                                    | eventLabel                     | eventTime                           | sumOfAges    |
| ---------------------------------------- | ------------------------------ | ----------------------------------- | ------------ |
| 2020 Austrian Grand Prix (wd:Q67123914)  | 2020 Austrian Grand Prix (en)  | 2020-07-05T00:00:00Z (xsd:dateTime) | 75 (xsd:int) |
| 2020 Eifel Grand Prix (wd:Q97651788)     | 2020 Eifel Grand Prix (en)     | 2020-10-11T00:00:00Z (xsd:dateTime) | 89 (xsd:int) |
| 2020 Abu Dhabi Grand Prix (wd:Q98774921) | 2020 Abu Dhabi Grand Prix (en) | 2020-12-13T00:00:00Z (xsd:dateTime) | 89 (xsd:int) |

[Assistant]
I have found the events in the 2020 Formula One World Championship along with their event times and the sum of the ages of the participants who ranked 1st, 2nd, or 3rd in each event. However, the results only include 3 events, which might be incomplete.

I will now extend the query to also return the participants and their individual ages for each event to verify the data and completeness.

[Tool]
Got 9 rows and 7 columns:
| event                                    | eventLabel                     | eventTime                           | position        | participant                    | participantLabel      | age          |
| ---------------------------------------- | ------------------------------ | ----------------------------------- | --------------- | ------------------------------ | --------------------- | ------------ |
| 2020 Austrian Grand Prix (wd:Q67123914)  | 2020 Austrian Grand Prix (en)  | 2020-07-05T00:00:00Z (xsd:dateTime) | 1 (xsd:decimal) | Valtteri Bottas (wd:Q138745)   | Valtteri Bottas (en)  | 31 (xsd:int) |
| 2020 Austrian Grand Prix (wd:Q67123914)  | 2020 Austrian Grand Prix (en)  | 2020-07-05T00:00:00Z (xsd:dateTime) | 2 (xsd:decimal) | Charles Leclerc (wd:Q17541912) | Charles Leclerc (en)  | 23 (xsd:int) |
| 2020 Austrian Grand Prix (wd:Q67123914)  | 2020 Austrian Grand Prix (en)  | 2020-07-05T00:00:00Z (xsd:dateTime) | 3 (xsd:decimal) | Lando Norris (wd:Q22007193)    | Lando Norris (en)     | 21 (xsd:int) |
| 2020 Eifel Grand Prix (wd:Q97651788)     | 2020 Eifel Grand Prix (en)     | 2020-10-11T00:00:00Z (xsd:dateTime) | 1 (xsd:decimal) | Lewis Hamilton (wd:Q9673)      | Lewis Hamilton (en)   | 35 (xsd:int) |
| 2020 Eifel Grand Prix (wd:Q97651788)     | 2020 Eifel Grand Prix (en)     | 2020-10-11T00:00:00Z (xsd:dateTime) | 2 (xsd:decimal) | Max Verstappen (wd:Q2239218)   | Max Verstappen (en)   | 23 (xsd:int) |
| 2020 Eifel Grand Prix (wd:Q97651788)     | 2020 Eifel Grand Prix (en)     | 2020-10-11T00:00:00Z (xsd:dateTime) | 3 (xsd:decimal) | Daniel Ricciardo (wd:Q82816)   | Daniel Ricciardo (en) | 31 (xsd:int) |
| 2020 Abu Dhabi Grand Prix (wd:Q98774921) | 2020 Abu Dhabi Grand Prix (en) | 2020-12-13T00:00:00Z (xsd:dateTime) | 1 (xsd:decimal) | Max Verstappen (wd:Q2239218)   | Max Verstappen (en)   | 23 (xsd:int) |
| 2020 Abu Dhabi Grand Prix (wd:Q98774921) | 2020 Abu Dhabi Grand Prix (en) | 2020-12-13T00:00:00Z (xsd:dateTime) | 2 (xsd:decimal) | Valtteri Bottas (wd:Q138745)   | Valtteri Bottas (en)  | 31 (xsd:int) |
| 2020 Abu Dhabi Grand Prix (wd:Q98774921) | 2020 Abu Dhabi Grand Prix (en) | 2020-12-13T00:00:00Z (xsd:dateTime) | 3 (xsd:decimal) | Lewis Hamilton (wd:Q9673)      | Lewis Hamilton (en)   | 35 (xsd:int) |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
SELECT ?person ?personLabel ?dateOfDeath1 ?dateOfDeath2 WHERE {
  ?person wdt:P27 wd:Q142 .
  ?person p:P570 ?statement1 , ?statement2 .
  ?statement1 ps:P570 ?dateOfDeath1 .
  ?statement2 ps:P570 ?dateOfDeath2 .
  FILTER ( ?statement1 != ?statement2 ) .
  FILTER ( ?dateOfDeath1 < ?dateOfDeath2 ) .
  FILTER ( datatype( ?dateOfDeath1 ) = xsd:dateTime || datatype( ?dateOfDeath1 ) = xsd:date ) .
  FILTER ( datatype( ?dateOfDeath2 ) = xsd:dateTime || datatype( ?dateOfDeath2 ) = xsd:date ) .
  FILTER ( strlen( str( ?dateOfDeath1 ) ) >= 10 ) .
  FILTER ( strlen( str( ?dateOfDeath2 ) ) >= 10 ) .
  OPTIONAL {
    ?person rdfs:label ?personLabel .
    FILTER ( LANG( ?personLabel ) = "en" )
  }
}
ORDER BY DESC ( ?dateOfDeath1 ) ?person
LIMIT 100

Here are 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. The results are ordered by the most recent first date of death and then by item ID. The query returns the individual, their label, the first date of death, and the second date of death.

[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]
To answer this question, I need to find individuals with the following criteria:
1. Individuals from France.
2. Have more than one recorded date of death.
3. Each date of death has at least day precision.
4. The first date of death is earlier than the second date of death.
5. Return the first and second dates of death.
6. Order results by the most recent first date of death and then by item ID.

Step 1: Identify the entity for France.
Step 2: Identify the property for date of death.
Step 3: Identify the property for country of citizenship or place of birth to filter individuals from France.
Step 4: Construct a query to find individuals with multiple dates of death with day precision and the first date earlier than the second.
Step 5: Order the results accordingly.

I will 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, I will identify 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 prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): 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 prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): 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 prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): 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 prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): 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 prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): 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 prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): 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 prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): 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 prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): 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 prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): 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 prv/wdtn/pqn/prn/pr/psn/pq/wdt/pqv/p/ps/psv): 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 wd:P570.

Next, I need to identify the property to filter individuals from France. This can be either country of citizenship or place of birth. I will check for properties related to citizenship or place of birth.

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

[Assistant]
The property for country of citizenship is wd:P27.
The property for place of birth is wd:P19.

I will use country of citizenship (wd:P27) to filter individuals from France (wd:Q142).

Next, I will construct a SPARQL query to find individuals with more than one date of death with day precision, where the first date is earlier than the second, and the individual has country of citizenship France. I will also order the results by the most recent first date of death and then by item ID.

[Tool]
SPARQL execution failed:
Error while executing a SERVICE request to <http://wikiba.se:80/ontology#label>: SERVICE responded with HTTP status code: 301, Moved Permanently. First 100 bytes of the response: '<html>
<head><title>301 Moved Permanently</title></head>
<body>
<center><h1>301 Moved Permanently'

[Assistant]
The query failed due to the use of SERVICE wikibase:label which is not supported by the endpoint. I will rewrite the query without using SERVICE wikibase:label and instead use optional rdfs:label to get the person's label.

I will now execute the corrected query.

[Tool]
Got 100 rows and 4 columns, showing the first 5 and last 5 rows below:
| person                                  | personLabel                    | dateOfDeath1                        | dateOfDeath2                        |
| --------------------------------------- | ------------------------------ | ----------------------------------- | ----------------------------------- |
| Jacques Augendre (wd:Q3158161)          | Jacques Augendre (en)          | 2025-02-18T00:00:00Z (xsd:dateTime) | 2025-02-19T00:00:00Z (xsd:dateTime) |
| Alain Maline (wd:Q16916420)             | Alain Maline (en)              | 2025-02-07T00:00:00Z (xsd:dateTime) | 2025-02-08T00:00:00Z (xsd:dateTime) |
| Paul-Loup Sulitzer (wd:Q1982105)        | Paul-Loup Sulitzer (en)        | 2025-02-05T00:00:00Z (xsd:dateTime) | 2025-02-06T00:00:00Z (xsd:dateTime) |
| Maurice Bernart (wd:Q3300403)           | Maurice Bernart (en)           | 2025-02-01T00:00:00Z (xsd:dateTime) | 2025-02-12T00:00:00Z (xsd:dateTime) |
| Viktor Antonov (wd:Q4067340)            | Viktor Antonov (en)            | 2025-02-01T00:00:00Z (xsd:dateTime) | 2025-02-07T00:00:00Z (xsd:dateTime) |
| ...                                     | ...                            | ...                                 | ...                                 |
| Marie-Madeleine Peyronnet (wd:Q3292120) | Marie-Madeleine Peyronnet (en) | 2023-04-24T00:00:00Z (xsd:dateTime) | 2023-04-25T00:00:00Z (xsd:dateTime) |
| Hocine Djoudi (wd:Q3138943)             | Hocine Djoudi (en)             | 2023-04-01T00:00:00Z (xsd:dateTime) | 2023-04-13T00:00:00Z (xsd:dateTime) |
| Jacques Leplat (wd:Q3159379)            | Jacques Leplat (en)            | 2023-04-01T00:00:00Z (xsd:dateTime) | 2023-04-22T00:00:00Z (xsd:dateTime) |
| Philippe Bouquet (wd:Q3379412)          | Philippe Bouquet (en)          | 2023-03-08T00:00:00Z (xsd:dateTime) | 2023-03-10T00:00:00Z (xsd:dateTime) |
| Gérard Pélisson (wd:Q3124265)           | Gérard Pélisson (en)           | 2023-03-01T00:00:00Z (xsd:dateTime) | 2023-03-06T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process