PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?item ?si_conversion ?quantity ?dimension ?unit WHERE {
  ?item wdt:P2370 ?si_conversion ; wdt:P111 ?quantity .
  OPTIONAL {
    ?item wdt:P4020 ?dimension .
  }
  OPTIONAL {
    ?item wdt:P8111 ?unit .
  }
}
LIMIT 50

The query retrieves items (such as units of measurement) that have both a conversion to SI unit and a measured physical quantity. For each item, it returns:
- The item itself (as an IRI)
- The SI conversion factor or value
- The measured physical quantity (IRI)
- The ISQ dimension (IRI, if available)
- The recommended unit (IRI, if available)

You can use this query to get the dimensions, items, SI conversions, and units for items with 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

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?

[Assistant]
Let's break down the question:

- We are looking for items (entities) that:
  1. Have a conversion to SI unit.
  2. Have a measured physical quantity.
- For these items, we want to retrieve:
  - Their dimensions,
  - The items themselves,
  - Their SI conversions,
  - Their units.

Step 1: Identify relevant properties and entities.
- "conversion to SI unit" is likely a property.
- "measured physical quantity" is likely a property.
- "dimension" is likely a property.
- "unit" is likely a property.

Step 2: Search for these properties in Wikidata.

I'll start by searching for the property "conversion to SI unit".

[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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): unit in which a quantity is measured as recommended by a standard (SI, ISO, IEC, etc.)
4. unit symbol (wd:P5061 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): the base unit(s) that this derived unit is derived from
7. measurement scale, also known as measured by (wd:P1880 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): scale by which a phenomenon is measured
8. key performance indicator, also known as indicator, KPI, measured by (wd:P6563 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): unit of measurement identifier as defined by the UN/CEFACT in Re...n No. 20: Codes for Units of Measure Used in International Trade

[Assistant]
The relevant properties found are:
- "conversion to SI unit" (wd:P2370)
- "measured physical quantity" (wd:P111)
- "recommended unit of measurement" (wd:P8111) may be useful for units.
- For "dimension", I need to check if there is a property for the physical dimension of a quantity or unit.

Next, I'll search for the property "dimension" to find the correct property for physical dimensions.

[Tool]
Top 10 property alternatives:
1. ISQ dimension, also known as dimension, dimension of a derived quantity, observable dimension (wd:P4020 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): measured dimension of an object
3. Dimensions Source ID (wd:P6180 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): unique identifier for a journal in the Dimensions database
4. Dimensions author ID (wd:P6178 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): unique identifier for an author in Dimensions
5. Dimensions Publication ID (wd:P6179 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): unique identifier for a work in the Dimensions database
6. Dimensions grant ID (wd:P6854 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): area occupied by an object
8. width, also known as breadth, bus width, size (wd:P2049 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): width of an object, length
9. height, also known as heighth, size, depth over terrain (wd:P2048 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): vertical length of an entity, length
10. Dimensions.guide ID (wd:P6557 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): identifier on Dimensions.guide database

[Assistant]
The most relevant property for physical dimensions is "ISQ dimension" (wd:P4020), which refers to the dimension of a derived quantity (e.g., length, mass, time, etc.).

So, the properties we need are:
- conversion to SI unit: wd:P2370
- measured physical quantity: wd:P111
- ISQ dimension: wd:P4020
- recommended unit of measurement: wd:P8111

Now, let's clarify the structure:
- We want items (units or quantities) that have both a "conversion to SI unit" and a "measured physical quantity".
- For these items, we want their ISQ dimension, the item itself, the SI conversion, and their recommended unit.

Next, I'll check which type of items typically have both wd:P2370 and wd:P111. I'll list a few items with wd:P2370 to see what kind of entities they are.

[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]
From the sample, items with "conversion to SI unit" (wd:P2370) include units of time, length, area, and other physical quantities. These are likely to also have a "measured physical quantity" (wd:P111).

Now, let's try to construct a SPARQL query that:
- Finds items (?item) with both:
  - a "conversion to SI unit" (?si_conversion) (wdt:P2370)
  - a "measured physical quantity" (?quantity) (wdt:P111)
- Optionally gets their ISQ dimension (?dimension) (wdt:P4020)
- Optionally gets their recommended unit (?unit) (wdt:P8111)

I'll write a query to retrieve these, including optional labels for readability.

[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 failed due to memory constraints, likely because it tries to retrieve too many optional labels and properties at once. To address this, I'll simplify the query by removing some optional label retrievals and focus on the core IRIs and values.

I'll start by retrieving just the IRIs for:
- the item,
- its SI conversion,
- its measured physical quantity,
- its ISQ dimension (optional),
- its recommended unit (optional).

This should reduce the memory load.

[Tool]
Got 50 rows and 5 columns, showing the first 5 and last 5 rows below:
| item                                        | si_conversion          | quantity                                                         | dimension | unit |
| ------------------------------------------- | ---------------------- | ---------------------------------------------------------------- | --------- | ---- |
| 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)                                                 |           |      |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
SELECT ?event ?eventLabel ?eventDate ( SUM( ?age ) AS ?sumAges ) WHERE {
  wd:Q41174436 wdt:P527 ?event .
  ?event wdt:P585 ?eventDate .
  OPTIONAL {
    ?event rdfs:label ?eventLabel FILTER ( LANG( ?eventLabel ) = "en" )
  }
  ?event p:P2321 ?statement .
  ?statement ps:P2321 ?participant .
  ?statement pq:P1352 ?rank .
  FILTER ( ?rank IN ( 1 , 2 , 3 ) ) ?participant wdt:P569 ?dob .
  BIND( YEAR( ?eventDate ) - YEAR( ?dob ) - IF( MONTH( ?eventDate ) < MONTH( ?dob ) || ( MONTH( ?eventDate ) = MONTH( ?dob ) && DAY( ?eventDate ) < DAY( ?dob ) ) , 1 , 0 ) AS ?age )
}
GROUP BY ?event ?eventLabel ?eventDate
ORDER BY ?eventDate

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

- 2020 Styrian Grand Prix (2020-07-12): sum of ages = 87
- 2020 Hungarian Grand Prix (2020-07-19): sum of ages = 87
- 2020 British Grand Prix (2020-08-02): sum of ages = 79
- 70th Anniversary Grand Prix (2020-08-09): sum of ages = 87
- 2020 Spanish Grand Prix (2020-08-16): sum of ages = 87
- 2020 Belgian Grand Prix (2020-08-30): sum of ages = 88
- 2020 Italian Grand Prix (2020-09-06): sum of ages = 71
- 2020 Tuscan Grand Prix (2020-09-13): sum of ages = 90

[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

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 entity for the "2020 Formula One World Championship".**
2. **Find the events (races) that are part of this championship.**
3. **For each event, get the event time (date).**
4. **For each event, find the participants who ranked 1st, 2nd, or 3rd.**
5. **For each such participant, get their age at the time of the event.**
6. **Sum the ages for each event.**

Let's proceed step by step.

---

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

I'll search for this entity in Wikidata.

[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, I need to find the events (races) that are part of this championship. These are likely to be "part of" or "has part" relationships.

I'll search for properties related to "event" or "race" for this entity.

[Tool]
Top 10 property alternatives:
1. point in time, also known as at time, as of, year, when, time of event (wd:P585 as wdt/p): 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 wdt/p): 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 wdt/p): person or institution organizing an event
4. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): 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 wdt/p): 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 wdt/p): 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 wdt/p): 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 wdt/p): 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 wdt/p): 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 wdt/p): sport that the subject participates or participated in or is associated with

No other items found

[Tool]
Top 10 property alternatives:
1. number of matches played/races/starts, also known as gp, starts, races, number of games played, mp (wd:P1350 as wdt/p): matches or games a player or a team played during an event. Also...matches a player officially appeared in during the whole career.
2. winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as wdt/p): 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. sport, also known as play, plays, sport played, sports (wd:P641 as wdt/p): sport that the subject participates or participated in or is associated with
4. 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 wdt/p): property that shows the competition of which the item is a season. Use P5138 for "season of club or team"., part of
5. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
6. start time, also known as start date, since, valid, join time, joined (wd:P580 as wdt/p): time an entity begins to exist or a statement starts being valid, point in time
7. point in time, also known as at time, as of, year, when, time of event (wd:P585 as wdt/p): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
8. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as wdt/p): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).
9. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
10. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as wdt/p): main Wikimedia category

No other items found

[Tool]
Got 19 rows and 3 columns, showing the first 10 rows below:
| subject                                            | property               | object                                     |
| -------------------------------------------------- | ---------------------- | ------------------------------------------ |
| 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) | has part(s) (wdt:P527) | 2020 Tuscan Grand Prix (wd:Q97139307)      |
| 2020 Formula One World Championship (wd:Q41174436) | has part(s) (wdt:P527) | 2020 Hungarian Grand Prix (wd:Q67123916)   |
| 2020 Formula One World Championship (wd:Q41174436) | has part(s) (wdt:P527) | 70th Anniversary Grand Prix (wd:Q96088886) |
| 2020 Formula One World Championship (wd:Q41174436) | has part(s) (wdt:P527) | 2020 Eifel Grand Prix (wd:Q97651788)       |
| 2020 Formula One World Championship (wd:Q41174436) | has part(s) (wdt:P527) | 2020 Turkish Grand Prix (wd:Q98642744)     |
| 2020 Formula One World Championship (wd:Q41174436) | has part(s) (wdt:P527) | 2020 Sakhir Grand Prix (wd:Q98754976)      |
| 2020 Formula One World Championship (wd:Q41174436) | has part(s) (wdt:P527) | 2020 Bahrain Grand Prix (wd:Q67123905)     |
| 2020 Formula One World Championship (wd:Q41174436) | has part(s) (wdt:P527) | 2020 Spanish Grand Prix (wd:Q67123908)     |
| 2020 Formula One World Championship (wd:Q41174436) | has part(s) (wdt:P527) | 2020 Austrian Grand Prix (wd:Q67123914)    |
| ...                                                | ...                    | ...                                        |

[Assistant]
We have identified the 2020 Formula One World Championship (wd:Q41174436) and its events (races) via the "has part(s)" (wdt:P527) property. Each event is an entity like "2020 Styrian Grand Prix" (wd:Q95994243), etc.

Next, for each event, we need:
- The event time (date)
- The participants who ranked 1st, 2nd, or 3rd
- The sum of their ages at the time of the event

Let's first check which properties are used for:
- The event date
- The participants and their ranks

I'll start by searching for properties related to "date" or "time" for one of the events, e.g., "2020 Styrian Grand Prix" (wd:Q95994243).

[Tool]
Top 10 property alternatives:
1. point in time, also known as at time, as of, year, when, time of event (wd:P585 as wdt/p): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
2. sport, also known as play, plays, sport played, sports (wd:P641 as wdt/p): sport that the subject participates or participated in or is associated with
3. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as wdt/p): 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. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
5. official name, also known as long title, name, official title, registered name, full title (wd:P1448 as wdt/p): official name of the subject in its official language(s), name
6. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
7. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
8. winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as wdt/p): 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
9. part of, also known as of, within, system of, subsystem of, subgroup of (wd:P361 as wdt/p): 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]
Got 192 rows and 3 columns, showing the first 10 rows below:
| subject                                | property                           | object                                                                               |
| -------------------------------------- | ---------------------------------- | ------------------------------------------------------------------------------------ |
| 2020 Styrian Grand Prix (wd:Q95994243) | instance of (wdt:P31)              | Styrian Grand Prix (wd:Q96482998)                                                    |
| 2020 Styrian Grand Prix (wd:Q95994243) | country (wdt:P17)                  | Austria (wd:Q40)                                                                     |
| 2020 Styrian Grand Prix (wd:Q95994243) | Commons category (wdt:P373)        | 2020 Styrian Grand Prix                                                              |
| 2020 Styrian Grand Prix (wd:Q95994243) | image (wdt:P18)                    | <http://commons.wikimedia.org/wiki/Special:FilePath/Circuit%20Red%20Bull%20Ring.svg> |
| 2020 Styrian Grand Prix (wd:Q95994243) | part of (wdt:P361)                 | 2020 Formula One World Championship (wd:Q41174436)                                   |
| 2020 Styrian Grand Prix (wd:Q95994243) | location (wdt:P276)                | Red Bull Ring (wd:Q171566)                                                           |
| 2020 Styrian Grand Prix (wd:Q95994243) | sport (wdt:P641)                   | formula racing (wd:Q1199515)                                                         |
| 2020 Styrian Grand Prix (wd:Q95994243) | official name (wdt:P1448)          | Formula 1 Pirelli Großer Preis der Steiermark 2020 (de)                              |
| 2020 Styrian Grand Prix (wd:Q95994243) | point in time (wdt:P585)           | 2020-07-12T00:00:00Z (xsd:dateTime)                                                  |
| 2020 Styrian Grand Prix (wd:Q95994243) | number of participants (wdt:P1132) | 20 (xsd:decimal)                                                                     |
| ...                                    | ...                                | ...                                                                                |

[Assistant]
The event date is given by "point in time" (wdt:P585). Now, let's find out how participants and their ranks are represented for an event like the 2020 Styrian Grand Prix (wd:Q95994243).

I'll look for properties related to "participant", "ranking", or "position" for this event.

[Tool]
Top 10 property alternatives:
1. number of participants, also known as number of competitors, number of teams, participant count, participants, qty participants (wd:P1132 as wdt/p): number of participants of an event, e.g. people or groups of people that take part in the event (NO units), quantity
2. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
3. winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as wdt/p): 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. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as wdt/p): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
5. general classification of race participants, also known as GC (wd:P2321 as wdt/p): classification of race participants, participant
6. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
7. point in time, also known as at time, as of, year, when, time of event (wd:P585 as wdt/p): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
8. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
9. event distance, also known as race distance, stage distance (wd:P3157 as wdt/p): distance over which a race or other event is conducted or was achieved, length
10. sport, also known as play, plays, sport played, sports (wd:P641 as wdt/p): sport that the subject participates or participated in or is associated with

No other items found

[Tool]
Top 10 property alternatives:
1. winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as wdt/p): 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. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as wdt/p): 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. point in time, also known as at time, as of, year, when, time of event (wd:P585 as wdt/p): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
4. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
5. official name, also known as long title, name, official title, registered name, full title (wd:P1448 as wdt/p): official name of the subject in its official language(s), name
6. sport, also known as play, plays, sport played, sports (wd:P641 as wdt/p): sport that the subject participates or participated in or is associated with
7. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
8. number of participants, also known as number of competitors, number of teams, participant count, participants, qty participants (wd:P1132 as wdt/p): number of participants of an event, e.g. people or groups of people that take part in the event (NO units), quantity
9. pole position (wd:P3764 as wdt/p): person, who starts race at first row (leader in the starting grid), significant person
10. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)

No other items found

[Tool]
Top 10 property alternatives:
1. pole position (wd:P3764 as wdt/p): 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 wdt/p): 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 wdt/p): 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 wdt/p): 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 wdt/p): 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 wdt/p): 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 wdt/p): 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 wdt/p): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
9. sport, also known as play, plays, sport played, sports (wd:P641 as wdt/p): sport that the subject participates or participated in or is associated with
10. schematic, also known as schematic diagram, line drawing, diagram (wd:P5555 as wdt/p): illustration of the structure or operation of an object, system, or process, image

No other items found

[Tool]
Got 192 rows and 3 columns, showing the first 10 rows below:
| subject                                | property                           | object                                                                               |
| -------------------------------------- | ---------------------------------- | ------------------------------------------------------------------------------------ |
| 2020 Styrian Grand Prix (wd:Q95994243) | instance of (wdt:P31)              | Styrian Grand Prix (wd:Q96482998)                                                    |
| 2020 Styrian Grand Prix (wd:Q95994243) | country (wdt:P17)                  | Austria (wd:Q40)                                                                     |
| 2020 Styrian Grand Prix (wd:Q95994243) | Commons category (wdt:P373)        | 2020 Styrian Grand Prix                                                              |
| 2020 Styrian Grand Prix (wd:Q95994243) | image (wdt:P18)                    | <http://commons.wikimedia.org/wiki/Special:FilePath/Circuit%20Red%20Bull%20Ring.svg> |
| 2020 Styrian Grand Prix (wd:Q95994243) | part of (wdt:P361)                 | 2020 Formula One World Championship (wd:Q41174436)                                   |
| 2020 Styrian Grand Prix (wd:Q95994243) | location (wdt:P276)                | Red Bull Ring (wd:Q171566)                                                           |
| 2020 Styrian Grand Prix (wd:Q95994243) | sport (wdt:P641)                   | formula racing (wd:Q1199515)                                                         |
| 2020 Styrian Grand Prix (wd:Q95994243) | official name (wdt:P1448)          | Formula 1 Pirelli Großer Preis der Steiermark 2020 (de)                              |
| 2020 Styrian Grand Prix (wd:Q95994243) | point in time (wdt:P585)           | 2020-07-12T00:00:00Z (xsd:dateTime)                                                  |
| 2020 Styrian Grand Prix (wd:Q95994243) | number of participants (wdt:P1132) | 20 (xsd:decimal)                                                                     |
| ...                                    | ...                                | ...                                                                                |

[Tool]
Got 2 rows and 3 columns:
| subject                                | property           | object                        |
| -------------------------------------- | ------------------ | ----------------------------- |
| 2020 Styrian Grand Prix (wd:Q95994243) | winner (wdt:P1346) | Lewis Hamilton (wd:Q9673)     |
| 2020 Styrian Grand Prix (wd:Q95994243) | winner (wdt:P1346) | Mercedes F1 Team (wd:Q172721) |

[Tool]
Got 20 rows and 3 columns, showing the first 10 rows below:
| subject                                | property                                                | object                         |
| -------------------------------------- | ------------------------------------------------------- | ------------------------------ |
| 2020 Styrian Grand Prix (wd:Q95994243) | general classification of race participants (wdt:P2321) | Lewis Hamilton (wd:Q9673)      |
| 2020 Styrian Grand Prix (wd:Q95994243) | general classification of race participants (wdt:P2321) | Sebastian Vettel (wd:Q42311)   |
| 2020 Styrian Grand Prix (wd:Q95994243) | general classification of race participants (wdt:P2321) | Max Verstappen (wd:Q2239218)   |
| 2020 Styrian Grand Prix (wd:Q95994243) | general classification of race participants (wdt:P2321) | Kimi Räikkönen (wd:Q11192)     |
| 2020 Styrian Grand Prix (wd:Q95994243) | general classification of race participants (wdt:P2321) | Charles Leclerc (wd:Q17541912) |
| 2020 Styrian Grand Prix (wd:Q95994243) | general classification of race participants (wdt:P2321) | Valtteri Bottas (wd:Q138745)   |
| 2020 Styrian Grand Prix (wd:Q95994243) | general classification of race participants (wdt:P2321) | Sergio Pérez (wd:Q82805)       |
| 2020 Styrian Grand Prix (wd:Q95994243) | general classification of race participants (wdt:P2321) | Daniel Ricciardo (wd:Q82816)   |
| 2020 Styrian Grand Prix (wd:Q95994243) | general classification of race participants (wdt:P2321) | Carlos Sainz Jr. (wd:Q544856)  |
| 2020 Styrian Grand Prix (wd:Q95994243) | general classification of race participants (wdt:P2321) | Lando Norris (wd:Q22007193)    |
| ...                                    | ...                                                     | ...                            |

[Tool]
Got 20 rows and 3 columns, showing the first 10 rows below:
| subject                                | property                                              | object                                           |
| -------------------------------------- | ----------------------------------------------------- | ------------------------------------------------ |
| 2020 Styrian Grand Prix (wd:Q95994243) | general classification of race participants (p:P2321) | s:Q95994243-010c5e75-4512-4447-a864-3d6231a9799f |
| 2020 Styrian Grand Prix (wd:Q95994243) | general classification of race participants (p:P2321) | s:Q95994243-064ebc45-4efb-6c15-3676-1492bc25ea25 |
| 2020 Styrian Grand Prix (wd:Q95994243) | general classification of race participants (p:P2321) | s:Q95994243-11bb6b0e-4033-3ce1-8e8a-853c8eb7d21c |
| 2020 Styrian Grand Prix (wd:Q95994243) | general classification of race participants (p:P2321) | s:Q95994243-354c5b58-4b46-3c1d-d2ea-b870d21d6d98 |
| 2020 Styrian Grand Prix (wd:Q95994243) | general classification of race participants (p:P2321) | s:Q95994243-40fe6e37-4d43-7fd0-c491-d7d655a36739 |
| 2020 Styrian Grand Prix (wd:Q95994243) | general classification of race participants (p:P2321) | s:Q95994243-4e9be480-4977-a4f6-c641-32a5e0844a40 |
| 2020 Styrian Grand Prix (wd:Q95994243) | general classification of race participants (p:P2321) | s:Q95994243-57bc7b73-4823-144e-c619-a4d792b856fb |
| 2020 Styrian Grand Prix (wd:Q95994243) | general classification of race participants (p:P2321) | s:Q95994243-5eab11eb-4d26-0186-774f-9a3b1a5702b8 |
| 2020 Styrian Grand Prix (wd:Q95994243) | general classification of race participants (p:P2321) | s:Q95994243-716e9b57-4a99-1f50-3df6-cec9bc331d68 |
| 2020 Styrian Grand Prix (wd:Q95994243) | general classification of race participants (p:P2321) | s:Q95994243-75e21bc4-4991-4430-98ea-5796e4555eaa |
| ...                                    | ...                                                   | ...                                              |

[Tool]
Got 5 rows and 3 columns:
| subject                                          | property                                               | object                         |
| ------------------------------------------------ | ------------------------------------------------------ | ------------------------------ |
| s:Q95994243-010c5e75-4512-4447-a864-3d6231a9799f | general classification of race participants (ps:P2321) | Charles Leclerc (wd:Q17541912) |
| s:Q95994243-010c5e75-4512-4447-a864-3d6231a9799f | end cause (pq:P1534)                                   | accident (wd:Q171558)          |
| s:Q95994243-010c5e75-4512-4447-a864-3d6231a9799f | wikibase:rank                                          | wikibase:NormalRank            |
| s:Q95994243-010c5e75-4512-4447-a864-3d6231a9799f | rdf:type                                               | wikibase:BestRank              |
| s:Q95994243-010c5e75-4512-4447-a864-3d6231a9799f | rdf:type                                               | wikibase:Statement             |

[Tool]
Got 5 rows and 3 columns:
| subject                                          | property                                               | object                         |
| ------------------------------------------------ | ------------------------------------------------------ | ------------------------------ |
| s:Q95994243-010c5e75-4512-4447-a864-3d6231a9799f | general classification of race participants (ps:P2321) | Charles Leclerc (wd:Q17541912) |
| s:Q95994243-010c5e75-4512-4447-a864-3d6231a9799f | end cause (pq:P1534)                                   | accident (wd:Q171558)          |
| s:Q95994243-010c5e75-4512-4447-a864-3d6231a9799f | wikibase:rank                                          | wikibase:NormalRank            |
| s:Q95994243-010c5e75-4512-4447-a864-3d6231a9799f | rdf:type                                               | wikibase:BestRank              |
| s:Q95994243-010c5e75-4512-4447-a864-3d6231a9799f | rdf:type                                               | wikibase:Statement             |

[Tool]
Got 9 rows and 3 columns:
| subject                                          | property                                               | object                             |
| ------------------------------------------------ | ------------------------------------------------------ | ---------------------------------- |
| s:Q95994243-064ebc45-4efb-6c15-3676-1492bc25ea25 | general classification of race participants (ps:P2321) | Valtteri Bottas (wd:Q138745)       |
| s:Q95994243-064ebc45-4efb-6c15-3676-1492bc25ea25 | ranking (pq:P1352)                                     | 2 (xsd:decimal)                    |
| s:Q95994243-064ebc45-4efb-6c15-3676-1492bc25ea25 | time gap (pq:P2911)                                    | 13.719 (xsd:decimal)               |
| s:Q95994243-064ebc45-4efb-6c15-3676-1492bc25ea25 | wikibase:rank                                          | wikibase:NormalRank                |
| s:Q95994243-064ebc45-4efb-6c15-3676-1492bc25ea25 | rdf:type                                               | wikibase:BestRank                  |
| s:Q95994243-064ebc45-4efb-6c15-3676-1492bc25ea25 | ranking (pqv:P1352)                                    | v:45430454bd0f3bc0d9093c52b6acfc2b |
| s:Q95994243-064ebc45-4efb-6c15-3676-1492bc25ea25 | time gap (pqn:P2911)                                   | v:466a4e15a0bc954dc515e13bb9e5e500 |
| s:Q95994243-064ebc45-4efb-6c15-3676-1492bc25ea25 | time gap (pqv:P2911)                                   | v:466a4e15a0bc954dc515e13bb9e5e500 |
| s:Q95994243-064ebc45-4efb-6c15-3676-1492bc25ea25 | rdf:type                                               | wikibase:Statement                 |

[Tool]
Got 8 rows and 3 columns:
| subject                                          | property                                               | object                             |
| ------------------------------------------------ | ------------------------------------------------------ | ---------------------------------- |
| s:Q95994243-11bb6b0e-4033-3ce1-8e8a-853c8eb7d21c | general classification of race participants (ps:P2321) | Romain Grosjean (wd:Q82742)        |
| s:Q95994243-11bb6b0e-4033-3ce1-8e8a-853c8eb7d21c | ranking (pq:P1352)                                     | 13 (xsd:decimal)                   |
| s:Q95994243-11bb6b0e-4033-3ce1-8e8a-853c8eb7d21c | time gap (pq:P2911)                                    | 1 (xsd:decimal)                    |
| s:Q95994243-11bb6b0e-4033-3ce1-8e8a-853c8eb7d21c | wikibase:rank                                          | wikibase:NormalRank                |
| s:Q95994243-11bb6b0e-4033-3ce1-8e8a-853c8eb7d21c | rdf:type                                               | wikibase:BestRank                  |
| s:Q95994243-11bb6b0e-4033-3ce1-8e8a-853c8eb7d21c | ranking (pqv:P1352)                                    | v:19e51b30e2a4b87b26a299dfb1e4565a |
| s:Q95994243-11bb6b0e-4033-3ce1-8e8a-853c8eb7d21c | time gap (pqv:P2911)                                   | v:25a9f3dd7205b3dcb19698fa6019a7aa |
| s:Q95994243-11bb6b0e-4033-3ce1-8e8a-853c8eb7d21c | rdf:type                                               | wikibase:Statement                 |

[Tool]
Got 8 rows and 3 columns:
| subject                                          | property                                               | object                             |
| ------------------------------------------------ | ------------------------------------------------------ | ---------------------------------- |
| s:Q95994243-354c5b58-4b46-3c1d-d2ea-b870d21d6d98 | general classification of race participants (ps:P2321) | George Russell (wd:Q17319645)      |
| s:Q95994243-354c5b58-4b46-3c1d-d2ea-b870d21d6d98 | ranking (pq:P1352)                                     | 16 (xsd:decimal)                   |
| s:Q95994243-354c5b58-4b46-3c1d-d2ea-b870d21d6d98 | time gap (pq:P2911)                                    | 2 (xsd:decimal)                    |
| s:Q95994243-354c5b58-4b46-3c1d-d2ea-b870d21d6d98 | wikibase:rank                                          | wikibase:NormalRank                |
| s:Q95994243-354c5b58-4b46-3c1d-d2ea-b870d21d6d98 | rdf:type                                               | wikibase:BestRank                  |
| s:Q95994243-354c5b58-4b46-3c1d-d2ea-b870d21d6d98 | ranking (pqv:P1352)                                    | v:de52db4a2fe9472d69e373b4826d208a |
| s:Q95994243-354c5b58-4b46-3c1d-d2ea-b870d21d6d98 | time gap (pqv:P2911)                                   | v:a6719a976883fe032eb39e08b844f810 |
| s:Q95994243-354c5b58-4b46-3c1d-d2ea-b870d21d6d98 | rdf:type                                               | wikibase:Statement                 |

[Assistant]
We have confirmed that:
- Each event (race) has "general classification of race participants" (P2321) statements.
- Each such statement has a participant (ps:P2321) and a "ranking" (pq:P1352) qualifier.
- The event date is given by "point in time" (P585).

Now, to answer the question, for each event in the 2020 Formula One World Championship:
- Get the event and its date.
- For each participant with ranking 1, 2, or 3, get their date of birth and compute their age at the event date.
- Sum these ages per event.

Next, I need to check the property for "date of birth" for a participant, e.g., Lewis Hamilton (wd:Q9673).

[Tool]
Top 10 property alternatives:
1. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as wdt/p): date on which the subject was born, inception
2. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdt/p): most specific known birth location of a person, animal or fictional character, location
3. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdt/p): the object is a country that recognizes the subject as its citizen, country
4. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as wdt/p): full name of a person at birth, if different from their current, generally used name, name
5. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as wdt/p): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name
6. occupation, also known as job, work, vocation, profession, employment (wd:P106 as wdt/p): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
7. member of sports team, also known as plays for, played for, sport team, team, team played for (wd:P54 as wdt/p): sports teams or clubs that the subject represents or represented, member of
8. Famous Birthdays ID, also known as famousbirthdays.com ID (wd:P11194 as wdt/p): identifier for entities listed on the Famous Birthdays website
9. residence, also known as living in, place of residence, resided at, resided in, resident in (wd:P551 as wdt/p): the place where the person is or has been, resident, location
10. X (Twitter) username, also known as twitter.com/, X username, X handle, x.com/, X account (wd:P2002 as wdt/p): username on X (formerly Twitter); do not include the '@' symbol, website username or ID

No other items found

[Tool]
Got 1 row and 3 columns:
| subject                   | property                 | object                              |
| ------------------------- | ------------------------ | ----------------------------------- |
| Lewis Hamilton (wd:Q9673) | date of birth (wdt:P569) | 1985-01-07T00:00:00Z (xsd:dateTime) |

[Assistant]
Now I have all the necessary properties:
- Events: from wdt:P527 of wd:Q41174436
- Event date: wdt:P585
- Participants: via p:P2321/ps:P2321
- Ranking: via p:P2321/pq:P1352
- Date of birth: wdt:P569

I will now write a SPARQL query that:
- For each event in the 2020 Formula One World Championship,
- Gets the event date,
- Finds participants with ranking 1, 2, or 3,
- Gets their date of birth,
- Computes their age at the event,
- Sums the ages per event,
- Returns the event, event date, and sum of ages.

Let's construct the query.

[Tool]
Got 8 rows and 4 columns:
| event                                      | eventLabel                       | eventDate                           | sumAges      |
| ------------------------------------------ | -------------------------------- | ----------------------------------- | ------------ |
| 2020 Styrian Grand Prix (wd:Q95994243)     | 2020 Styrian Grand Prix (en)     | 2020-07-12T00:00:00Z (xsd:dateTime) | 87 (xsd:int) |
| 2020 Hungarian Grand Prix (wd:Q67123916)   | 2020 Hungarian Grand Prix (en)   | 2020-07-19T00:00:00Z (xsd:dateTime) | 87 (xsd:int) |
| 2020 British Grand Prix (wd:Q67123915)     | 2020 British Grand Prix (en)     | 2020-08-02T00:00:00Z (xsd:dateTime) | 79 (xsd:int) |
| 70th Anniversary Grand Prix (wd:Q96088886) | 70th Anniversary Grand Prix (en) | 2020-08-09T00:00:00Z (xsd:dateTime) | 87 (xsd:int) |
| 2020 Spanish Grand Prix (wd:Q67123908)     | 2020 Spanish Grand Prix (en)     | 2020-08-16T00:00:00Z (xsd:dateTime) | 87 (xsd:int) |
| 2020 Belgian Grand Prix (wd:Q67123917)     | 2020 Belgian Grand Prix (en)     | 2020-08-30T00:00:00Z (xsd:dateTime) | 88 (xsd:int) |
| 2020 Italian Grand Prix (wd:Q67123918)     | 2020 Italian Grand Prix (en)     | 2020-09-06T00:00:00Z (xsd:dateTime) | 71 (xsd:int) |
| 2020 Tuscan Grand Prix (wd:Q97139307)      | 2020 Tuscan Grand Prix (en)      | 2020-09-13T00:00:00Z (xsd:dateTime) | 90 (xsd:int) |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX psv: <http://www.wikidata.org/prop/statement/value/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wikibase: <http://wikiba.se/ontology#>
SELECT ?person ?date1 ?date2 WHERE {
  ?person wdt:P31 wd:Q5 ; wdt:P27 wd:Q142 ; p:P570 ?deathStatement1 , ?deathStatement2 .
  FILTER ( ?deathStatement1 != ?deathStatement2 ) ?deathStatement1 ps:P570 ?date1 .
  ?deathStatement2 ps:P570 ?date2 .
  ?deathStatement1 psv:P570 ?deathValue1 .
  ?deathStatement2 psv:P570 ?deathValue2 .
  ?deathValue1 wikibase:timePrecision ?prec1 .
  ?deathValue2 wikibase:timePrecision ?prec2 .
  FILTER ( ?prec1 >= 11 && ?prec2 >= 11 ) FILTER ( ?date1 < ?date2 )
}
ORDER BY DESC ( ?date1 ) ?person

These 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 query returns the person, 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.

[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

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

Step 1: Identify entities and properties.
- "Individuals" = humans (wd:Q5)
- "From France" = country of citizenship (likely wdt:P27) France (wd:Q142)
- "Date of death" = wdt:P570
- Precision of date of death: We need to check the precision of the date in the statement, which is available via the statement node (not the direct property).
- Multiple dates of death: Multiple P570 statements per person.
- Need to compare dates and filter those where the first is earlier than the second.

Step 2: Check property for "country of citizenship" and "date of death".
I'll verify these properties.

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

[Tool]
Top 10 property alternatives:
1. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): point in time at which the subject (organisation, building) ceas...g equipment,  "discontinued date" (P2669) for stopping a product, end time

[Tool]
Top 10 entity alternatives:
1. human, also known as human being, person, people, nonfictional human, non-fictional human (wd:Q5): any member of Homo sapiens, unique extant species of the genus Homo
2. Homo sapiens, also known as human beings, human, men, human being, humans (wd:Q15978631): species of mammal
3. Homo sapiens, also known as men, man, humans, human beings, human being (wd:Q15978631): species of mammal
4. Uman, also known as Humań (wd:Q208499): city in Cherkasy Oblast in central Ukraine
5. Human (wd:Q849189): 1991 album by Death
6. Human (wd:Q919463): 2008 song by The Killers
7. Human Entertainment, also known as Human, Human Corporation (wd:Q2408214): Japanese video game developer and publisher
8. Human (wd:Q20629223): 2015 film by Yann Arthus-Bertrand
9. Human (wd:Q27921626): 2016 song by Rag'n'Bone Man
10. Human (wd:Q735359): 2008 studio album by Brandy

[Tool]
Got 10 rows and 1 column:
| person                                  |
| --------------------------------------- |
| Robert Mallet-Stevens (wd:Q1000203)     |
| Robert Mallet-Stevens (wd:Q1000203)     |
| Camille de Roddaz (wd:Q100137930)       |
| Camille de Roddaz (wd:Q100137930)       |
| Maurice Fournier (wd:Q100145153)        |
| Maurice Fournier (wd:Q100145153)        |
| Roger Auguste Brylinski (wd:Q100156228) |
| Roger Auguste Brylinski (wd:Q100156228) |
| Josephine Fodor (wd:Q1002317)           |
| Josephine Fodor (wd:Q1002317)           |

[Assistant]
We have confirmed that there are individuals from France (wd:Q142) who are humans (wd:Q5) and have multiple date of death statements (p:P570). Now, we need to:

- Retrieve both date of death values for each person (from the statement nodes).
- Ensure both dates have at least day precision.
- Compare the dates and only keep cases where the first date is earlier than the second.
- Return the person, the first date, and the second date.
- Order by the most recent first date of death, then by item ID.

To do this, we need to:
- Use the statement nodes for P570 to access the value and the precision.
- Filter for precision >= 11 (day precision).
- Compare the dates.
- Order and select as required.

Let's build the full query accordingly.

[Tool]
Got 20 rows and 3 columns, showing the first 5 and last 5 rows below:
| person                                  | date1                               | date2                               |
| --------------------------------------- | ----------------------------------- | ----------------------------------- |
| Jacques Augendre (wd:Q3158161)          | 2025-02-18T00:00:00Z (xsd:dateTime) | 2025-02-19T00:00:00Z (xsd:dateTime) |
| Alain Maline (wd:Q16916420)             | 2025-02-07T00:00:00Z (xsd:dateTime) | 2025-02-08T00:00:00Z (xsd:dateTime) |
| Paul-Loup Sulitzer (wd:Q1982105)        | 2025-02-05T00:00:00Z (xsd:dateTime) | 2025-02-06T00:00:00Z (xsd:dateTime) |
| Arnaldo Gruarin (wd:Q2863025)           | 2025-01-28T00:00:00Z (xsd:dateTime) | 2025-01-29T00:00:00Z (xsd:dateTime) |
| Arnaldo Gruarin (wd:Q2863025)           | 2025-01-28T00:00:00Z (xsd:dateTime) | 2025-01-29T00:00:00Z (xsd:dateTime) |
| ...                                     | ...                                 | ...                                 |
| Didier Pineau-Valencienne (wd:Q3027158) | 2024-12-19T00:00:00Z (xsd:dateTime) | 2024-12-20T00:00:00Z (xsd:dateTime) |
| Alain Pompidou (wd:Q2830186)            | 2024-12-11T00:00:00Z (xsd:dateTime) | 2024-12-12T00:00:00Z (xsd:dateTime) |
| Francis Caballero (wd:Q3081328)         | 2024-11-29T00:00:00Z (xsd:dateTime) | 2024-12-04T00:00:00Z (xsd:dateTime) |
| Georges Gilson (wd:Q1508915)            | 2024-11-26T00:00:00Z (xsd:dateTime) | 2024-11-27T00:00:00Z (xsd:dateTime) |
| wd:Q982811                              | 2024-11-22T00:00:00Z (xsd:dateTime) | 2024-11-23T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?workType ( COUNT( ?work ) AS ?count ) WHERE {
  ?person wdt:P31 wd:Q5 .
  ?work wdt:P50 ?person .
  ?work wdt:P31 ?workType .
  FILTER ( ?workType != wd:Q47461344 )
}
GROUP BY ?workType
ORDER BY DESC ( ?count )

Got 3,634 rows and 2 columns, showing the first 5 and last 5 rows below:
| workType                                      | count              |
| --------------------------------------------- | ------------------ |
| scholarly article (wd:Q13442814)              | 31522289 (xsd:int) |
| version, edition or translation (wd:Q3331189) | 484538 (xsd:int)   |
| motion (wd:Q452237)                           | 337507 (xsd:int)   |
| literary work (wd:Q7725634)                   | 291690 (xsd:int)   |
| meta-analysis (wd:Q815382)                    | 207465 (xsd:int)   |
| ...                                           | ...                |
| reply (wd:Q8018506)                           | 1 (xsd:int)        |
| Liber beneficiorum (wd:Q6540540)              | 1 (xsd:int)        |
| non-governmental organization (wd:Q79913)     | 1 (xsd:int)        |
| wisdom (wd:Q799)                              | 1 (xsd:int)        |
| Bible translation into English (wd:Q655192)   | 1 (xsd:int)        |

Sitelink data (such as the number of Wikisource sitelinks per individual) is not accessible via SPARQL on the public Wikidata endpoint. Sitelinks are part of the site's metadata and not modeled as statements, so we cannot filter for individuals with exactly one Wikisource sitelink. Therefore, it is not possible to answer the question as stated using SPARQL on Wikidata.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata

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:

1. We want to find individuals (humans) who have exactly one sitelink to Wikisource.
2. For these individuals, we want to find the types of works they have authored, but exclude written works.
3. For each type, we want to count how many works there are, and order the results by count descending.

Step 1: Find how Wikidata models "sitelink to Wikisource". This is usually via schema:about and schema:isPartOf, but let's check for a property or method to identify Wikisource sitelinks.

Step 2: Find how to identify "written works" and how to exclude them. Let's search for the entity for "written work".

Step 3: Find how to get works authored by a person and their types.

Let's start by searching for "Wikisource" to see how sitelinks are modeled.

[Tool]
Top 10 entity alternatives:
1. Wikisource (wd:Q263): online multilingual library that collects open-content source material
2. Wikisource (wd:Q263): online multilingual library that collects open-content source material
3. Faroese Wikisource, also known as fowikisource, fo.wikisource.org, Wikisource (wd:Q24577660): Wikisource language edition
4. Dutch Wikisource, also known as nlwikisource, nl.wikisource.org, Wikisource (wd:Q24577681): Wikisource language edition
5. Danish Wikisource, also known as dawikisource, da.wikisource.org, Wikisource (wd:Q24577653): Wikisource language edition
6. Min Nan Wikisource, also known as Wikisource, zh_min_nanwikisource, zh-min-nan.wikisource.org (wd:Q24577697): Wikisource language edition
7. Venetian Wikisource, also known as vecwikisource, vec.wikisource.org, Wikisource (wd:Q24577695): Wikisource language edition
8. Romanian Wikisource, also known as rowikisource, ro.wikisource.org, Wikisource (wd:Q24577683): Wikisource language edition
9. Wikisource (wd:L295202-S1)
10. Wikisource (wd:L1394954-S1)

[Assistant]
The main Wikisource entity is wd:Q263. However, sitelinks are not stored as statements but as part of the Wikidata site's metadata. To filter for individuals with exactly one Wikisource sitelink, we need to use the schema:about and schema:isPartOf properties, where schema:isPartOf points to a Wikisource site entity.

Let's check how schema:isPartOf is used for Wikisource sitelinks by listing some triples with schema:isPartOf and object wd:Q263.

[Tool] Got no rows and 3 columns

[Assistant]
It appears that schema:isPartOf with wd:Q263 as object does not yield any results, possibly because Wikisource sitelinks are not modeled this way in the public RDF dump. Usually, sitelinks are not directly accessible via SPARQL in Wikidata's public endpoints, but sometimes they are exposed via schema:about and schema:isPartOf with the site entity (e.g., enwikisource).

Let me search for properties related to "Wikisource sitelink" to see if there is a more direct way to access this information.

[Tool]
Top 10 property alternatives:
1. Wikisource index page URL, also known as index namespace, index page in Wikisource, Wikisource index URL, Wikisource URL (wd:P1957 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): URL of the page in Wikisource containing digital and paper pagination of the source
2. official wiki URL, also known as official wiki, official wiki website, wiki, wiki URL, wiki website (wd:P12203 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): URL of the official wiki for the item, URL
3. Wikimedia import URL, also known as Wikinews import URL, import URL from a Wikimedia project, Wikipedia import URL, Wikipedia reference URL, Wikipedia URL (wd:P4656 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): URL of source to indicate the page or revision of an import sour...Use instead of "reference URL" (P854). Permalinks are preferred., URL
4. Wikimedia username, also known as Wikipedia user name, Wikipedia username, Wikiquote username, Wikisource username, Wikispecies username (wd:P4174 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): user name of a person across all Wikimedia projects, website username or ID
5. Wikimedia page-version URL, also known as Wikimedia page revision ID (URL), Wikipedia article revision ID (URL), Wikimedia permalink, Wikimedia page version, Wikimedia page permalink (wd:P7569 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): (qualifier) URL of revision of Wikipedia article or other page o...wiki URL starts with https://nl.wikipedia.org/w/index.php?oldid=, URL
6. source code repository URL, also known as Subversion repo, src repo, Mercurial repo, SourceForge repo, source code link (wd:P1324 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): public source code repository, URL
7. Wikimedia database name, also known as siteid, Wikimedia dbname, Wikimedia siteid (wd:P1800 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): identifier for a Wikimedia project database
8. sitemap URL, also known as sitemap xml, site map URL, sitemap (wd:P11212 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): URL to the sitemap of the subject's official website, URL
9. source website for the property, also known as website source, Wikidata property source, URL for the property, source website of the property, source URL for the property (wd:P1896 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): URL of website acting as source of data for this Wikidata property, URL
10. LiLa Linking Latin URI, also known as Linking Latin ID, Linking Latin URI, Latin lemma on LiLa (wd:P11033 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): the URI of this lexeme in LiLa Lemma Collection (Q117021953)

[Assistant]
None of the properties directly represent a "Wikisource sitelink" in the way we need. Usually, sitelinks are not modeled as statements but as part of the site's metadata, and are not accessible via standard SPARQL queries on Wikidata's public endpoints.

Given this, we cannot directly filter for "individuals who have exactly one sitelink to Wikisource" using SPARQL on Wikidata. This is a known limitation of the Wikidata Query Service and similar endpoints.

Therefore, I am unable to construct a SPARQL query that answers your question as stated, due to the inaccessibility of sitelink data in the public Wikidata SPARQL endpoint.

If you would like, I can provide a query for the types of works (excluding written works) authored by individuals, but without the restriction on Wikisource sitelinks. Let me know if you would like to proceed in that way.

[Tool] Stopped generation process