PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?institution ( COUNT( DISTINCT ?thesis ) AS ?count ) ?institutionLabel WHERE {
  ?thesis wdt:P4101 ?institution .
  ?thesis wdt:P31 ?class .
  ?class wdt:P279 * wd:Q1266946 .
  OPTIONAL {
    ?institution rdfs:label ?institutionLabel FILTER ( LANG( ?institutionLabel ) = "en" )
  }
}
GROUP BY ?institution ?institutionLabel
ORDER BY DESC ( ?count )

Using entities:
thesis (wd:Q1266946), also known as academic dissertation, academic thesis, dissertation, theses

Using properties:
subclass of (wd:P279 as wdt), also known as all members of this class also belong to, category of, form of, has superclass, is a class of, etc.
instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.
thesis submitted to (wd:P4101 as wdt), also known as dissertation submitted to, submitted to, P4101

Got 1,042 rows and 3 columns, showing the first 5 and last 5 rows below:
| institution                                                                   | count           | institutionLabel                                                    |
| ----------------------------------------------------------------------------- | --------------- | ------------------------------------------------------------------- |
| University of Oxford (wd:Q34433)                                              | 16828 (xsd:int) | University of Oxford (en)                                           |
| University of Auckland (wd:Q492467)                                           | 14832 (xsd:int) | University of Auckland (en)                                         |
| Massey University (wd:Q1134606)                                               | 11881 (xsd:int) | Massey University (en)                                              |
| University of Canterbury (wd:Q432475)                                         | 11286 (xsd:int) | University of Canterbury (en)                                       |
| Delft University of Technology (wd:Q752663)                                   | 10779 (xsd:int) | Delft University of Technology (en)                                 |
| ...                                                                           | ...             | ...                                                                 |
| The Hartt School (wd:Q7738950)                                                | 1 (xsd:int)     | The Hartt School (en)                                               |
| Stanford University Materials Science & Engineering Department (wd:Q77247026) | 1 (xsd:int)     | Stanford University Materials Science & Engineering Department (en) |
| University of Kaiserslautern (wd:Q678965)                                     | 1 (xsd:int)     | University of Kaiserslautern (en)                                   |
| University of Paderborn (wd:Q679134)                                          | 1 (xsd:int)     | University of Paderborn (en)                                        |
| University at Buffalo (wd:Q681025)                                            | 1 (xsd:int)     | University at Buffalo (en)                                          |

Answer:
I queried Wikidata for items that are instances or subclasses of "thesis" (Q1266946) and that use the property "thesis submitted to" (P4101). The results, ordered by the number of distinct theses submitted to each institution (descending), show that the top institutions are:

1. University of Oxford (wd:Q34433) — 16828 theses
2. University of Auckland (wd:Q492467) — 14832 theses
3. Massey University (wd:Q1134606) — 11881 theses
4. University of Canterbury (wd:Q432475) — 11286 theses
5. Delft University of Technology (wd:Q752663) — 10779 theses

The full query used is provided above and returns institutions (their Wikidata IRIs) with counts of distinct theses submitted to them, ordered by count descending.

Which institutions have the highest number of theses or dissertations submitted to them, ordered by the count of distinct theses or dissertations in descending order?

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] Which institutions have the highest number of theses or dissertations submitted to them, ordered by the count of distinct theses or dissertations in descending order?

[Assistant] I will search for the Wikidata item for "thesis" and for properties used to link a thesis or dissertation to the institution it was submitted to. I'll start by searching for entities named "thesis" and "dissertation", then look for properties that relate a thesis to an institution (e.g., "submitted to", "award received", "academic degree from", "publisher", etc.). I'll execute searches to identify the correct property and class labels.

[Tool]
Top 10 entity alternatives:
1. thesis (wd:Q1266946), also known as academic dissertation, academic thesis, dissertation, theses: a scholarly work submitted as a requirement to obtain an academic degree; Use Q187685 for PhD thesis / is subclass of academic writing / is instance of literary genre / is subclass of academic work / is subclass of research
2. Tesis (wd:Q1636502, matched via Thesis), also known as Thesis: 1996 film directed by Alejandro Amenábar / is instance of film
3. Thesis (wd:Q3822612): is instance of Greek primordial deities / is instance of Greek primordial deity / goddess of Greek mythology
4. Thesis (wd:Q2420274): is subclass of sans-serif typeface / is instance of font superfamily / font superfamily
5. thesis (wd:Q124212544), also known as article, dissertation, paper, treatise: an umbrella term for thesis, dissertation, paper, article, and treatise in East Asia / is subclass of work of science
6. thesis (wd:Q4453731): is instance of philosophical terminology / is subclass of proposition / type of proposition
7. Thesis (wd:Q7783439): album by Jimmy Giuffre / is instance of album
8. Thesis (wd:Q9358417), also known as thesisband, Thesis band, Thesis (zespół rocka progresywnego): is instance of rock band / Polish rock band
9. thesis (wd:Q123397500): is instance of art genre / for BFA, MFA or similar
10. Thesis (wd:Q17062467): 1997 studio album by Matthew Shipp / album by Matthew Shipp / album by Matthew Shipp / is instance of album

[Assistant] I'll search for properties related to "submitted", "submitted to", "academic", "academic degree", and "institution" to find the correct property linking a thesis to the institution it was submitted to.

[Tool]
Top 10 property alternatives:
1. thesis submitted to (wd:P4101 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via submitted to), also known as dissertation submitted to, submitted to, P4101: institution to whom a thesis or dissertation is submitted / institution to whom a thesis or dissertation is submitted
2. statement disputed by (wd:P1310 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via rejected by), also known as controversy stated by, denied by, disputed by, opposed by, refused by, etc.: entity that disputes a given statement / entity that disputes a given statement / entity that disputes a given statement
3. study or design for (wd:P6606 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via draft for), also known as design for, draft for, first version of, preparatory work for, study for, etc.: finished work of art for which the subject is a preliminary study, design, or conceptual drawing / finished work of art for which the subject is a preliminary study, design or conceptual drawing
4. publication date (wd:P577 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via issued), also known as air date, airdate, be published during, be published in, broadcast date, etc.: date or point in time when a work was first published or released / date or point in time a work is first published or released / date or point in time a work is first published or released / is subproperty of point in time
5. approved by (wd:P790 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps), also known as erected by, P790: item is approved by other item(s) [qualifier: statement is approved by other item(s)] / item is approved by other item(s) [qualifier: statement is approved by other item(s)]
6. addressee (wd:P1817 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via sent to), also known as addressed to, recipient, sent to, to:, To:, etc.: person or organization to whom a letter or note is addressed / is subproperty of destination of transfer
7. reviewed by (wd:P4032 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via refereed by), also known as examined by, peer referee, peer reviewed by, peer reviewer, referee, etc.: person who reviewed/refereed the work, e.g., scientific peer-reviewer
8. draft (wd:P2262 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps), also known as draught, P2262: depth below the water line to the bottom of a vessel's hull; summer draft is implied unless stated otherwise.
9. participant in (wd:P1344 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via attended), also known as attended, competed in, competes in, participant of, participant of event, etc.: event in which a person or organisation was/is a participant; inverse of P710 or P1923 / event in which a person or organization was/is a participant; inverse of P710 or P1923 / is subproperty of significant event / is subproperty of part of
10. educated at (wd:P69 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via attended), also known as alma mater, alumna of, alumni of, alumnus of, attended, etc.: educational institution attended by the subject / educational institution attended by the subject / educational institution attended by subject / is subproperty of affiliation

[Assistant] I'll list some triples using the property "thesis submitted to" (P4101) to verify how it's used on Wikidata and to see example thesis items and institutions. I'll call the list function constrained to that property.

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                                                                                | property                        | object                                            |
| ----------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------- | ------------------------------------------------- |
| Exploring the Kingdom of Brycheiniog: An Integrated Archaeological Approach in an Early Medieval Landscape (wd:Q100272640)                      | thesis submitted to (wdt:P4101) | University of Oxford (wd:Q34433)                  |
| The Early-Middle Bronze Age Transition in Wessex, Sussex and the Thames Valley (wd:Q104127077)                                                  | thesis submitted to (wdt:P4101) | University of Cambridge (wd:Q35794)               |
| Magnetism and Electron Transport in Magnetoresistive Lanthanum Calcium Manganite (wd:Q104889226)                                                | thesis submitted to (wdt:P4101) | Stanford University (wd:Q41506)                   |
| Magnetic fields in the early solar system (wd:Q104536323)                                                                                | thesis submitted to (wdt:P4101) | Massachusetts Institute of Technology (wd:Q49108) |
| The Riemann theory of trigonometric series (wd:Q100552965)                                                                                | thesis submitted to (wdt:P4101) | Moscow State University (wd:Q13164)               |
| Coleção de bustos-relicários da antiga Igreja do Colégio de ... da Bahia: preservação de 30 esculturas do Século XVII (wd:Q105423991)           | thesis submitted to (wdt:P4101) | Federal University of Minas Gerais (wd:Q132140)   |
| Entre tinteiros e palanques: A trajetória intelectual e política de Arnold Ferreira da Silva em Feira de Santana-BA (1909-1930) (wd:Q107198442) | thesis submitted to (wdt:P4101) | State University of Feira de Santana (wd:Q156406) |
| Carybé e a legitimação de um discurso da baianidade na integração das artes em Salvador (wd:Q105303955)                                         | thesis submitted to (wdt:P4101) | Federal University of Bahia (wd:Q159102)          |
| The smoothing of data (wd:Q104144515)                                                                                | thesis submitted to (wdt:P4101) | University of Edinburgh (wd:Q160302)              |
| Propter adhorantium auctoritatem voluntate. Legittimazione, ... nelle Gesta Regum Anglorum di Guglielmo di Malmesbury (wd:Q106406937)           | thesis submitted to (wdt:P4101) | University of Bologna (wd:Q131262)                |
| ...                                                                                | ...                             | ...                                               |

[Assistant] I'll run a SPARQL query that counts distinct thesis items (?thesis) submitted to each institution (?institution), restricting theses to items whose "instance of" is a subclass of "thesis" (wd:Q1266946). I'll request English labels for institutions as an optional field. Now I'll execute this query.

[Tool]
Got 100 rows and 3 columns, showing the first 5 and last 5 rows below:
| institution                                                         | count           | institutionLabel                                          |
| ------------------------------------------------------------------- | --------------- | --------------------------------------------------------- |
| University of Oxford (wd:Q34433)                                    | 16828 (xsd:int) | University of Oxford (en)                                 |
| University of Auckland (wd:Q492467)                                 | 14832 (xsd:int) | University of Auckland (en)                               |
| Massey University (wd:Q1134606)                                     | 11881 (xsd:int) | Massey University (en)                                    |
| University of Canterbury (wd:Q432475)                               | 11286 (xsd:int) | University of Canterbury (en)                             |
| Delft University of Technology (wd:Q752663)                         | 10779 (xsd:int) | Delft University of Technology (en)                       |
| ...                                                                 | ...             | ...                                                       |
| University of California, Riverside (wd:Q1075148)                   | 31 (xsd:int)    | University of California, Riverside (en)                  |
| University of Southern California (wd:Q4614)                        | 31 (xsd:int)    | University of Southern California (en)                    |
| Geosciences and Engineering (Department at TU Delft) (wd:Q77049916) | 31 (xsd:int)    | Geosciences and Engineering (Department at TU Delft) (en) |
| University of Manchester (wd:Q230899)                               | 30 (xsd:int)    | University of Manchester (en)                             |
| Leiden University (wd:Q156598)                                      | 30 (xsd:int)    | Leiden University (en)                                    |

[Assistant] Now I'll run a final SPARQL query that counts distinct theses (items whose instance is a (sub)class of "thesis" Q1266946) submitted to each institution via property P4101, grouping by institution and ordering by descending count. I'll request English labels as optional. I'll run it without a LIMIT to get the full ordering.

[Tool]
Got 1,042 rows and 3 columns, showing the first 5 and last 5 rows below:
| institution                                                                   | count           | institutionLabel                                                    |
| ----------------------------------------------------------------------------- | --------------- | ------------------------------------------------------------------- |
| University of Oxford (wd:Q34433)                                              | 16828 (xsd:int) | University of Oxford (en)                                           |
| University of Auckland (wd:Q492467)                                           | 14832 (xsd:int) | University of Auckland (en)                                         |
| Massey University (wd:Q1134606)                                               | 11881 (xsd:int) | Massey University (en)                                              |
| University of Canterbury (wd:Q432475)                                         | 11286 (xsd:int) | University of Canterbury (en)                                       |
| Delft University of Technology (wd:Q752663)                                   | 10779 (xsd:int) | Delft University of Technology (en)                                 |
| ...                                                                           | ...             | ...                                                                 |
| The Hartt School (wd:Q7738950)                                                | 1 (xsd:int)     | The Hartt School (en)                                               |
| Stanford University Materials Science & Engineering Department (wd:Q77247026) | 1 (xsd:int)     | Stanford University Materials Science & Engineering Department (en) |
| University of Kaiserslautern (wd:Q678965)                                     | 1 (xsd:int)     | University of Kaiserslautern (en)                                   |
| University of Paderborn (wd:Q679134)                                          | 1 (xsd:int)     | University of Paderborn (en)                                        |
| University at Buffalo (wd:Q681025)                                            | 1 (xsd:int)     | University at Buffalo (en)                                          |

[Assistant] I'll now prepare the final SPARQL query I executed and provide the top institutions ordered by the count of distinct theses/dissertations.

[Tool] Stopping


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?year ( COUNT( DISTINCT ?item ) AS ?count ) WHERE {
  ?item wdt:P31 ?type .
  ?type wdt:P279 * wd:Q2088357 .
  ?item wdt:P571 ?inception .
  BIND( YEAR( ?inception ) AS ?year ) FILTER ( ?year >= 1000 && ?year <= 2025 )
}
GROUP BY ?year
ORDER BY ?year

Using entities:
musical ensemble (wd:Q2088357), also known as ensemble, music ensemble

Using properties:
subclass of (wd:P279 as wdt), also known as all members of this class also belong to, category of, form of, has superclass, is a class of, etc.
instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.
inception (wd:P571 as wdt), also known as broke ground, built, commenced on date, commencement date, completed, etc.

Answer: I ran a SPARQL query that groups distinct musical ensembles (items whose instance-of is musical ensemble Q2088357 or an instance of a subclass of it) by the year of their inception (extracted from P571) and counts them. I filtered years to the range 1000–2025 to exclude implausible/malformed dates. The query returns 294 rows (one per year present in that range), with columns ?year and ?count, sorted by year. The SPARQL query above is the exact query I executed; its results are the counts per inception year.

How many musical ensembles were formed each year, grouped by the year of their inception and sorted by year?

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] How many musical ensembles were formed each year, grouped by the year of their inception and sorted by year?

[Assistant] Step 1: I'll search for the entity for "musical ensemble" and verify properties like "inception" and "instance of". Then I'll build a SPARQL query that finds items that are instance of musical ensemble (including subclasses), extracts their inception date, groups by year, and counts per year. I'll search for the entity first.

[Tool]
Top 10 entity alternatives:
1. musical ensemble (wd:Q2088357), also known as ensemble, music ensemble: group of people who perform instrumental and/or vocal music, with the ensemble typically known by a distinct name / group of people who perform instrumental and/or vocal music, with the ensemble typically known by a distinct name / group of people who perform instrumental and/or vocal music, with the ensemble typically known by a distinct name / is subclass of performing arts group / is subclass of music organization / is subclass of music organisation
2. vocal-musical ensemble (wd:Q29881657, matched via musical ensemble), also known as musical ensemble: musical ensemble in which both instrumentalists and singers perform / is instance of type of musical group / is subclass of musical group
3. Kantele (musical ensemble) (wd:Q4212623), also known as Kantele: is instance of musical ensemble
4. instrumental ensemble (wd:Q11072804, matched via instrumental musical ensemble), also known as instrumental musical ensemble: musical ensemble consisting solely of instruments / is instance of type of musical group / is subclass of musical ensemble
5. fictional musical ensemble (wd:Q6619719), also known as fictional band, fictional ensemble, fictional group, fictional musical group, fictional music band, etc.: is subclass of group of fictional characters / musical ensemble that exists only in fiction / is subclass of fictional organization / is subclass of fictional organisation
6. Musical Ensemble Erft e.V. (wd:Q122855895): amateur theater in North Rhine-Westphalia (Germany) / is instance of theatre troupe
7. composition for concertina ensemble (wd:Q108040793, matched via concertina ensemble (musical work)), also known as concertina ensemble, concertina ensemble (musical work): is instance of type of musical work/composition / is subclass of composed musical work / type of musical composition
8. Fondateur d'un ensemble musical (wd:Q105103965): is instance of human
9. member of this band, musical group (wd:Q65966973, matched via member of this musical ensemble), also known as band members by band, member of this band, member of this musical ensemble, member of this musical group: is instance of Wikidata metaclass / is subclass of group member / is instance of metaclass / Wikidata metaclass
10. music (wd:Q638, matched via musical art), also known as creating music, musical art: art/activity of creating art using sound / is instance of academic discipline / is instance of field of study / is subclass of Entertainment / is subclass of entertainment / is instance of type of arts / is instance of specialism / is instance of discipline / is instance of specialty / is subclass of The arts / is subclass of the arts / is subclass of arts

[Assistant] Next I'll verify the inception property and confirm its identifier. Then I'll look for how "instance of" relates (P31). I'll search for the properties.

[Tool]
Top 10 property alternatives:
1. inception (wd:P571 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via inception date), also known as broke ground, built, commenced on date, commencement date, completed, etc.: time when an entity begins to exist; for date of official opening use P1619 / time when an entity begins to exist; for date of official opening use P1619 / date or point in time when the organisation / object was founded / created / is subproperty of start time
2. production date (wd:P2754 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via filming date), also known as date of production, filming date, filming time, year of production, P2754: period of active production of (creative) work; the only date ... date (P577); in general cases, use inception (P571)
3. date of official opening (wd:P1619 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via date of opening), also known as date of opening, date opened, grand opening, inaugurated, inauguration, etc.: date or point in time a place, organization, or event officially opened / date or point in time an event, museum, theatre etc. officially opened / is subproperty of date of foundation or creation / is subproperty of start time / is subproperty of inception
4. effective date (wd:P7588 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via date of commencement), also known as date of coming into force, date of commencement, enforcement date, P7588: date on which a statutory or administrative law or other ... may also be retrospective, predating the date of enactment. / date on which a statutory or administrative law comes into ... may also be retrospective, predating the date of enactment. / is subproperty of point in time
5. date of first performance (wd:P1191 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via premiere date), also known as date of premiere, first performance date, premiere, premiere date, time of first performance, etc.: date a work was first debuted, performed or live-broadcasted / is subproperty of date of publication / is subproperty of publication date
6. time of discovery or invention (wd:P575 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via time of invention), also known as date discovered, date of discovery, date of invention, discovered, discovered on, etc.: date or point in time when the item was discovered or invented / when the item was discovered
7. UTC date of spacecraft launch (wd:P619 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via launch date), also known as date of spacecraft launch, launch date, launch time, spacecraft launch date, spacecraft launch time, etc.: date of spacecraft launch in UTC
8. service entry (wd:P729 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via launch date), also known as commissioned, date of service entry, deployment date, entered service, entry to service, etc.: date or point in time on which a piece or class of equipment entered operational service / date on which a piece or class of equipment entered operational service / is subproperty of start time
9. publication date (wd:P577 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via launch date), also known as air date, airdate, be published during, be published in, broadcast date, etc.: date or point in time when a work was first published or released / date or point in time a work is first published or released / date or point in time a work is first published or released / is subproperty of point in time
10. date depicted (wd:P2913 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps), also known as date shown, depicted date, depicted time, depicts date, shown as at date, etc.: date represented in a work (for narrative works use P2408) / date represented in a work

[Assistant] Now I'll verify the property for "instance of" (usually P31) to be sure of its identifier.

[Tool]
Top 10 property alternatives:
1. instance of (wd:P31 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps), also known as example of, has type, is a, is an, is of type, etc.: type to which this subject corresponds/belongs. Different ... and the volcano is a type (instance) of volcanic landform / that class of which this subject is a particular example and ... a subclass of mountain (and an instance of volcanic landform)
2. is metaclass for (wd:P8225 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via instances are a subclass of), also known as instances are a subclass of, instances are subclasses of, instances are subclass of, is a metaclass for, is a metaclass of, etc.: all instances of the subject are subclasses of the object
3. subproperty of (wd:P1647 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via instance of property), also known as has parent property, instance of property, parent property, rdfs:subPropertyOf, subclass of property, etc.: all resources related by this property are also related by that property / is subproperty of related property / is subproperty of see also
4. quantity (wd:P1114 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via instances), also known as amount, copies, count, instances, multiplicity, etc.: number of instances of this subject in the universe of the ... number of instances in Wikidata may be lower or higher) / number of instances of this subject
5. subclass of (wd:P279 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via whose instances are among), also known as all members of this class also belong to, category of, form of, has superclass, is a class of, etc.: this item is a subclass (subset) of that item; ALL instances ... of volcanic landform); Everest is an instance of mountain / this item is a subclass (subset) of that item; all instances ... instance of volcanic landform); K2 is an instance of mountain / this item is a subclass (subset) of that item; all instances ... instance of volcanic landform); K2 is an instance of mountain / this item is a subclass (subset) of that item; all instances ... instance of volcanic landform); K2 is an instance of mountain
6. object of occurrence (wd:P12912 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps), also known as action applies to item, affects, did to, direct object, does to, etc.: specific object to which an occurrence or class of occurrences applies
7. minimum value (wd:P2313 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via from), also known as at least this many, from, minimum quantity, min quantity, min value, etc.: qualifier indicating the lowest possible value of a quantity
8. source of transfer (wd:P12693 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via from), also known as from, sender, source, starting point, P12693: entity that a transferred item is initially associated with, before this process associates it with another entity
9. relative to (wd:P2210 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via from), also known as compared object, compared to, compared with, from, in relation to, etc.: qualifier: what a statement value is relative to / qualifier: what a statement value is relative to
10. definition domain (wd:P1568 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via from), also known as domain, domain of definition, domain of function, from, function domain, etc.: set of "input" or argument values for which a mathematical function is defined; subset of input set

[Assistant]
We have entity for musical ensemble (Q2088357), and properties inception (P571) and instance of (P31). Next I'll find examples: list items with P31 wd:Q2088357 and P571. But the question asks "How many musical ensembles were formed each year, grouped by the year of their inception and sorted by year?" So we need to count items that are instances of musical ensemble or subclasses? The instruction: include subclasses. So better to include items whose instance of is either musical ensemble or any subclass of it. We should find all items where ?item wdt:P31/wdt:P279* wd:Q2088357? Wait P279 is subclass of; to find items that are instances of subclasses of musical ensemble we'd need to follow P31 ?type . ?type wdt:P279* wd:Q2088357. But the direction: type is subclass of musical ensemble (i.e., ?type wdt:P279* wd:Q2088357). Yes.

We also need inception year: use wdt:P571 which is a time value xsd:dateTime. Extract year using YEAR(?inception) maybe supported. QLever endpoints accept functions? SPARQL supports YEAR() on xsd:dateTime typed literals. Good.

We need to group by year and count distinct items? Probably count distinct ?item. Also some items may have multiple inception values; we'll take MIN or use one. But better to take YEAR(?inception) and group by that. Filter to have a year (i.e., bound ?inception). Also we should sort by year.

We must return IRIs of items in result? The rules: SPARQL query should always return the actual identifiers/IRIs of the items in its result. But here we are grouping by year, not listing items. So we must include the year value but maybe the IRIs not required. Hmm rule says "The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels..." For aggregations, items aren't returned. But ensure that returned values are IRIs where applicable. In our case we're returning year and count; both are literals, allowed. I think it's okay.

Also they require explanation before and after each step and function call. Must explain thought process. And we must execute intermediate queries to verify assumptions. So we should do step 2: find sample items that are instance of Q2088357 and have P571. Execute a query listing some items with labels and inception year, limit 10. Let's do that.

We must explain before calling functions. Provide reasoning then call functions. After call, explain results. Then build final query that groups by YEAR and counts, and run it. Then present final answer via functions.answer with the final SPARQL query and the answer based on the query results. The answer must be the user-facing text summarizing result. Also include the SPARQL query executed.

Okay proceed.

First call: list some items that are instance of musical ensemble and have inception. Use query:

SELECT ?item ?itemLabel ?inception WHERE {
 ?item wdt:P31 wd:Q2088357 ;
       wdt:P571 ?inception .
 OPTIONAL { ?item rdfs:label ?itemLabel . FILTER(LANG(?itemLabel)="en") }
}
LIMIT 10

But note "Do not use SERVICE wikibase:label". Use rdfs:label. Also wdt:P31 is fine.

Call functions.execute.

I'll run a small test query to retrieve example items that are instance of "musical ensemble" (wd:Q2088357) and have an inception date (wdt:P571). This will verify the data shape and date values before building the aggregated query.

[Tool]
Got 10 rows and 3 columns:
| item                                                                  | itemLabel                                                  | inception                           |
| --------------------------------------------------------------------- | ---------------------------------------------------------- | ----------------------------------- |
| Israel Chamber Ensemble (wd:Q101068199)                               | Israel Chamber Ensemble (en)                               | 1965-01-01T00:00:00Z (xsd:dateTime) |
| Société de musique de chambre pour instruments à vent (wd:Q101529041) | Société de musique de chambre pour instruments à vent (en) | 1879-01-01T00:00:00Z (xsd:dateTime) |
| Société moderne d'instruments à vent (wd:Q101780297)                  | Société moderne d'instruments à vent (en)                  | 1895-01-01T00:00:00Z (xsd:dateTime) |
| Cosmopolitan Music Society (wd:Q102046864)                            | Cosmopolitan Music Society (en)                            | 1963-01-01T00:00:00Z (xsd:dateTime) |
| Detentos do Rap (wd:Q10265739)                                        | Detentos do Rap (en)                                       | 1998-01-01T00:00:00Z (xsd:dateTime) |
| Melech Mechaya (wd:Q10328374)                                         | Melech Mechaya (en)                                        | 2007-01-01T00:00:00Z (xsd:dateTime) |
| Akademiska Damkören Lyran (wd:Q10403936)                              | Akademiska Damkören Lyran (en)                             | 1946-01-01T00:00:00Z (xsd:dateTime) |
| Trakia Ensamble (wd:Q104248017)                                       | Trakia Ensamble (en)                                       | 1974-11-10T00:00:00Z (xsd:dateTime) |
| Zimro Ensemble (wd:Q104551455)                                        | Zimro Ensemble (en)                                        | 1918-01-01T00:00:00Z (xsd:dateTime) |
| La Kumbre con K (wd:Q104836863)                                       | La Kumbre con K (en)                                       | 2008-01-01T00:00:00Z (xsd:dateTime) |

[Assistant] The sample query returned items with inception dates as xsd:dateTime values; some have precise dates, others default to Jan 1. Next I should consider also items that are instance of subclasses of musical ensemble. To confirm subclass chaining works, I'll find items where ?item wdt:P31 ?type . ?type wdt:P279* wd:Q2088357 . And ensure they have inception. I'll run a second test query to list some items that are instances of types that are subclasses of musical ensemble.

[Tool]
Got 10 rows and 5 columns:
| item                                    | itemLabel                      | type                         | typeLabel          | inception                           |
| --------------------------------------- | ------------------------------ | ---------------------------- | ------------------ | ----------------------------------- |
| João Lucas & Marcelo (wd:Q10311758)     | João Lucas & Marcelo (en)      | sertanejo duo (wd:Q10269077) | sertanejo duo (en) | 2010-01-01T00:00:00Z (xsd:dateTime) |
| Thaeme & Thiago (wd:Q10381060)          | Thaeme & Thiago (en)           | sertanejo duo (wd:Q10269077) | sertanejo duo (en) | 2011-01-01T00:00:00Z (xsd:dateTime) |
| Jacó & Jacozinho (wd:Q10304846)         | Jacó & Jacozinho (en)          | sertanejo duo (wd:Q10269077) | sertanejo duo (en) | 1964-01-01T00:00:00Z (xsd:dateTime) |
| wd:Q16144920                            |                                | sertanejo duo (wd:Q10269077) | sertanejo duo (en) | 1960-01-01T00:00:00Z (xsd:dateTime) |
| João Bosco & Vinícius (wd:Q9015071)     | João Bosco & Vinícius (en)     | sertanejo duo (wd:Q10269077) | sertanejo duo (en) | 1994-01-01T00:00:00Z (xsd:dateTime) |
| Victor & Leo (wd:Q9093397)              | Victor & Leo (en)              | sertanejo duo (wd:Q10269077) | sertanejo duo (en) | 1992-01-01T00:00:00Z (xsd:dateTime) |
| Tião Carreiro & Pardinho (wd:Q7810556)  | Tião Carreiro & Pardinho (en)  | sertanejo duo (wd:Q10269077) | sertanejo duo (en) | 1958-01-01T00:00:00Z (xsd:dateTime) |
| Zezé Di Camargo & Luciano (wd:Q8069993) | Zezé Di Camargo & Luciano (en) | sertanejo duo (wd:Q10269077) | sertanejo duo (en) | 1991-01-01T00:00:00Z (xsd:dateTime) |
| Maria Cecília & Rodolfo (wd:Q6761086)   | Maria Cecília & Rodolfo (en)   | sertanejo duo (wd:Q10269077) | sertanejo duo (en) | 2008-01-01T00:00:00Z (xsd:dateTime) |
| Tonico & Tinoco (wd:Q7821391)           | Tonico & Tinoco (en)           | sertanejo duo (wd:Q10269077) | sertanejo duo (en) | 1946-01-01T00:00:00Z (xsd:dateTime) |

[Assistant]
The subclass approach works and returns items whose P31 is a subclass of musical ensemble. Now I'll build the final aggregated query: count number of ensembles per inception year, include both direct instances (P31 wd:Q2088357) and instances of subclasses (P31 ?type . ?type wdt:P279* wd:Q2088357). Use ?year = YEAR(?inception). But need to ensure we handle multiple inception values per item; we might count an item multiple times if it has multiple inception statements. To avoid double counting, use SELECT (YEAR(?inception) AS ?year) (COUNT(DISTINCT ?item) AS ?count) WHERE { ... } GROUP BY ?year ORDER BY ?year

But SPARQL requires grouping variables to be in SELECT as well; using YEAR in SELECT is okay. Use BIND(YEAR(?inception) AS ?year). Then GROUP BY ?year ORDER BY ?year.

Query:

SELECT ?year (COUNT(DISTINCT ?item) AS ?count) WHERE {
 ?item wdt:P31 ?type .
 ?type wdt:P279* wd:Q2088357 .
 ?item wdt:P571 ?inception .
 BIND(YEAR(?inception) AS ?year)
}
GROUP BY ?year
ORDER BY ?year

Maybe also restrict ?year to be not null. Good.

Execute final query.

We must explain before calling. Then run functions.execute. After results, explain.

Then call functions.answer with final SPARQL query and an answer string summarizing that we return rows year and count and maybe show top lines? The functions.answer will execute the query again? It requires the knowledge graph and final SPARQL query and the answer text. It will execute the final query before giving the answer? Per tool description, functions.answer will stop the generation process. It also says we must execute our final SPARQL query before giving an answer. So we need to execute it now via functions.execute and then pass same query to functions.answer. The rules required we execute final query before giving an answer. So I'll execute it, review results, then call functions.answer with same query and answer derived from the results (but also note "Do not perform additional computation on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL." Our aggregation is done in SPARQL, so it's fine to summarize results. But we mustn't manually compute counts; we can present results as rows. The answer should be based on query results. We can mention we ran the query and found X rows; but better to include a short summary and say "The query returns columns ?year and ?count; sample rows: ..." But the functions.answer expects an answer string. I'll produce a sentence: "I ran a SPARQL query that groups musical ensembles by inception year and counts them. Results are the rows (year, count): ..." But I should not compute sums. It's acceptable to list the first several rows, but that would require reading results. We will include results fully? The results might be large. But user wanted counts per year sorted by year. The final answer should include the SPARQL query and maybe state that results were returned and where to find them? The functions.answer will include the final query and answer string; probably the platform will show results separately. But we must adhere.

Let's execute the aggregated query now.

I'll run a SPARQL aggregation that counts distinct musical ensembles (items whose instance-of is musical ensemble or an instance of a subclass of musical ensemble) grouped by the year extracted from their inception date.

[Tool]
Got 302 rows and 2 columns, showing the first 5 and last 5 rows below:
| year             | count         |
| ---------------- | ------------- |
|                  | 23 (xsd:int)  |
| 1 (xsd:int)      | 1 (xsd:int)   |
| 19 (xsd:int)     | 1 (xsd:int)   |
| 198 (xsd:int)    | 1 (xsd:int)   |
| 785 (xsd:int)    | 1 (xsd:int)   |
| ...              | ...           |
| 2022 (xsd:int)   | 134 (xsd:int) |
| 2023 (xsd:int)   | 81 (xsd:int)  |
| 2024 (xsd:int)   | 41 (xsd:int)  |
| 2025 (xsd:int)   | 9 (xsd:int)   |
| 806868 (xsd:int) | 1 (xsd:int)   |

[Assistant] I'll refine the query to exclude implausible year values (e.g., malformed or extremely old years) by restricting years to a reasonable range: 1000–2025. Then I'll run the aggregation again.

[Tool]
Got 294 rows and 2 columns, showing the first 5 and last 5 rows below:
| year           | count         |
| -------------- | ------------- |
| 1127 (xsd:int) | 1 (xsd:int)   |
| 1200 (xsd:int) | 1 (xsd:int)   |
| 1201 (xsd:int) | 2 (xsd:int)   |
| 1210 (xsd:int) | 1 (xsd:int)   |
| 1213 (xsd:int) | 1 (xsd:int)   |
| ...            | ...           |
| 2021 (xsd:int) | 140 (xsd:int) |
| 2022 (xsd:int) | 134 (xsd:int) |
| 2023 (xsd:int) | 81 (xsd:int)  |
| 2024 (xsd:int) | 41 (xsd:int)  |
| 2025 (xsd:int) | 9 (xsd:int)   |

[Tool] Stopping


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?person ?deathDate ?fsid ?father WHERE {
  ?person wdt:P31 wd:Q5 ; wdt:P27 wd:Q16 ; wdt:P570 ?deathDate ; wdt:P2889 ?fsid ; wdt:P22 ?father .
  FILTER NOT EXISTS {
    ?father wdt:P2889 ?fatherFSID
  }
}
ORDER BY ?person
LIMIT 1000

Using entities:
Canada (wd:Q16), also known as CA, CAN, Dominion of Canada, ISO 3166-1:CA
human (wd:Q5), also known as human being, humans, individual Homo sapiens, individual human, modern humans, etc.

Using properties:
father (wd:P22 as wdt), also known as child of, dad, daddy, daughter of, has father, etc.
country of citizenship (wd:P27 as wdt), also known as citizen of, citizenship, country, (legal) nationality, nation, etc.
FamilySearch person ID (wd:P2889 as wdt), also known as FamilySearch Family Tree ID, FamilySearch ID, Family Search person ID, P2889
instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.
date of death (wd:P570 as wdt), also known as date of the end, dead, death, death date, deathdate, etc.

Answer: I executed a SPARQL query that finds humans with country of citizenship Canada (wdt:P27 wd:Q16), with a date of death (wdt:P570), who have a FamilySearch person ID (wdt:P2889), and who have a father (wdt:P22) for whom no FamilySearch person ID is recorded. The query returns the person IRI, date of death, FamilySearch person ID, and the father's IRI. The query returned 30 matching persons (example rows include Leonard Cohen, Lester B. Pearson, Wilfrid Laurier, John A. Macdonald, Farley Mowat, Rob Ford, Tommy Douglas, etc.). The SPARQL query used is provided above; run it on the Wikidata SPARQL endpoint to get the full list and details.

Which deceased Canadian individuals have a FamilySearch person ID and have a father who does not have a FamilySearch person ID? For each person, include their date of death, FamilySearch person ID, and their father.

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] Which deceased Canadian individuals have a FamilySearch person ID and have a father who does not have a FamilySearch person ID? For each person, include their date of death, FamilySearch person ID, and their father.

[Assistant] I'll first search for the FamilySearch person ID property in Wikidata, then locate properties for father and date of death and the Canada identifier. I'll verify the property IDs before building the SPARQL query. I'll explain each step and run intermediate queries to validate assumptions.

[Tool]
Top 10 property alternatives:
1. FamilySearch person ID (wd:P2889 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps), also known as FamilySearch Family Tree ID, FamilySearch ID, Family Search person ID, P2889: ID of a person on FamilySearch
2. genealogics.org person ID (wd:P1819 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps), also known as P1819: identifier for a person at genealogics.org. Format: "I" followed by 8 digits / identifier for a person at genealogics.org. Format: "I" followed by 8 digits / identifier for a person at genealogics.org. Format: "I" followed by 8 digits / identifier for a person at genealogics.org. Format: "I" followed by 8 digits
3. Mathematics Genealogy Project ID (wd:P549 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via MathGenealogy ID), also known as Genealogy of Mathematics, Mathematics Genealogy Project identifier, Math Genealogy ID, MathGenealogy ID, MGP ID, etc.: identifier for mathematicians and computer scientists at the Mathematics Genealogy Project / identifier for mathematicians and computer scientists at the Mathematics Genealogy Project
4. Familypedia person ID (wd:P4193 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps), also known as Familypedia ID, P4193: identifier for a person on Familypedia, a genealogical database hosted at Wikia / identifier for a person on Familypedia, a genealogical database hosted at Wikia / identifier for a person on Familypedia, a genealogical database hosted at Wikia
5. Webpedigrees ID (wd:P3166 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps), also known as P3166: identifier for a horse on Webpedigrees database
6. GeneaStar person ID (wd:P8094 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps), also known as GeneaStar ID, P8094: identifier of a person in the GeneaStar genealogical database / identifier of a person in the GeneaStar genealogical database / identifier of a person in the GeneaStar genealogical database
7. MyHeritage Surname ID (wd:P5452 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps), also known as P5452: string identifying a surname (family name) at the MyHeritage genealogy website
8. AniSearch person ID (wd:P13053 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps), also known as P13053: ID for a person at AniSearch
9. Modern History Database person ID (wd:P11818 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps), also known as MHDB person ID, P11818: ID of a person from Modern History Database by Institute of Modern History, Academia Sinica
10. Geni.com profile ID (wd:P2600 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via Geni person ID), also known as Geni person ID, P2600: profile on the Geni.com genealogy website / profile on the Geni.com genealogy website

[Assistant] I'll verify the Wikidata properties for "father" and "date of death", and the item for Canada/nationality "Canadian". Then I'll build and test the SPARQL query step by step. I'll first search for the "father" property.

[Tool]
Top 10 property alternatives:
1. relative (wd:P1038 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via father-in-law), also known as ancestor, aunt, aunt-in-law, brother-in-law, co-brother-in-law, etc.: family member (qualify with "kinship to subject", P1039; for direct family member please use specific property) / family member (qualify with "type of kinship", P1039; for direct family member please use specific property) / is subproperty of significant person
2. subproperty of (wd:P1647 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via parent property), also known as has parent property, instance of property, parent property, rdfs:subPropertyOf, subclass of property, etc.: all resources related by this property are also related by that property / is subproperty of related property / is subproperty of see also
3. father (wd:P22 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps), also known as child of, dad, daddy, daughter of, has father, etc.: male parent of the subject. For stepfather, use "stepparent' (P3448) / male parent of the subject. For stepfather, use "stepparent" (P3448) / male parent of the subject. For stepfather, use "stepparent" (P3448) / is subproperty of parent
4. family (wd:P53 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps), also known as dynasty, house, member of family, noble family, royal house, etc.: family, including dynasty and nobility houses. Not family name (use P734 for family name). / family, including dynasty and nobility houses. Not family name (use P734 for family name) / family, including dynasty and nobility houses. Not family name (use P734 for family name) / is subproperty of member of
5. parent (wd:P8810 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps), also known as guardian, parents, P8810: parent of the subject. Only use if neither father (P22) nor mother (P25) nor stepparent (P3448) is applicable. / is subproperty of relative
6. mother (wd:P25 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via parent), also known as child of, daughter of, has mother, is child of, is daughter of, etc.: female parent of the subject. For stepmother, use "stepparent" (P3448) / female parent of the subject. For stepmother, use "stepparent" (P3448) / female parent of the subject. For stepmother, use "stepparent" (P3448) / is subproperty of parent
7. property (wd:P2306 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps), also known as allowed qualifier, P2306: qualifier to define a property constraint in combination with ... or to limit the scope of Q44292881 (wikidata statement)
8. Wikidata property (wd:P1687 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via property), also known as has property, main property, property, property for this item, P1687: main Wikidata property for this item / main Wikidata property for this item
9. owned by (wd:P127 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via owner), also known as belonged to, belongs to, is owned by, owner, owners, etc.: owner of the subject / owner of the subject / owner of the subject
10. stepparent (wd:P3448 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via stepfather), also known as stepchild of, step father, step-father, stepfather, step mother, etc.: subject has the object as their stepparent / subject has the object as their stepparent / subject has the object as their stepparent / is subproperty of relative

[Assistant] We have P22 for father. Next, date of death property.

[Tool]
Top 10 property alternatives:
1. date of death (wd:P570 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps), also known as date of the end, dead, death, death date, deathdate, etc.: is subproperty of dissolved, abolished or demolished date / is subproperty of dissolved, abolished or demolished / date on which the subject died / date on which the subject died / date on which the subject died / is subproperty of end time
2. place of death (wd:P20 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via location of death), also known as death location, death place, deathplace, died, died in, etc.: most specific known (e.g. city instead of country, or ... death location of a person, animal or fictional character / most specific known (e.g. city instead of country, or ... death location of a person, animal or fictional character / most specific known (e.g. city instead of country, or ... death location of a person, animal or fictional character / is subproperty of location
3. date of burial or cremation (wd:P4602 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via date of cremation), also known as burial date, cremation date, date of cremation, funeral date, P4602: date on which the person was buried or cremated soon after death / is subproperty of point in time
4. discontinued date (wd:P2669 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via ceased date), also known as ceased date, date discontinued, date of discontinuation, date product was discontinued, discontinuation date, etc.: date that the availability of a product or service was ... retirement" (P730) for pieces or classes of equipment / date that the availability of a product was discontinued; see also "dissolved, abolished or demolished" (P576) / is subproperty of end time
5. dissolved, abolished or demolished date (wd:P576 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via ceased date), also known as abolished, abolishment date, ceased date, ceased on, ceased publication, etc.: point in time at which the subject (organisation, building) ...  "discontinued date" (P2669) for stopping a product / date or point in time on which the organisation was dissolved/disappeared or the building demolished / is subproperty of end time
6. date of probate (wd:P9946 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps), also known as date will proved, probate date, will proved on, P9946: date on which the person's will was proved / is subproperty of point in time
7. date of disappearance (wd:P746 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via date of missing), also known as date of missing, disappeared, last known alive before disappearance, last seen, missing since, etc.: date or point of time a missing person was seen or otherwise known to be alive for the last time / is subproperty of end time
8. number of deaths (wd:P1120 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via death number), also known as dead, death count, death number, deaths, death toll, etc.: total (cumulative) number of people who died since start as a direct result of an event or cause / number of ALL people who died as a direct result of an event or cause / number of ALL people who died as a direct result of an event or cause
9. manner of death (wd:P1196 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via circumstance of death), also known as circumstance of death, death manner, death type, nature of death, type of death, etc.: general circumstances of a person's death; e.g. natural ... mechanism, e.g. heart attack, trauma, pneumonia etc. / general circumstances of a person's death; e.g. natural ... mechanism, e.g. heart attack, trauma, pneumonia etc. / general circumstances of a person's death; e.g. natural ... mechanism, e.g. heart attack, trauma, pneumonia...
10. category for people who died here (wd:P1465 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via category for place of death), also known as category for place of death, category of people who died here, P1465: category item for people who died in this location / is subproperty of related category

[Assistant] We have P570 for date of death. Next, I need to constrain to "deceased Canadian individuals". "Deceased" can be ensured by presence of P570 (date of death). "Canadian" could be citizenship (P27) = Canada (wd:Q16) or country of citizenship. The user said Canadian individuals; likely P27=wd:Q16. I'll check P27.

[Tool]
Top 10 property alternatives:
1. country of citizenship (wd:P27 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via citizenship), also known as citizen of, citizenship, country, (legal) nationality, nation, etc.: the object is a country that recognizes the subject as its citizen / the object is a country that recognizes the subject as its citizen / is subproperty of country
2. owner of (wd:P1830 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via owns property), also known as owns, owns property, shareholder of, P1830: entities owned by the subject / entities owned by the subject / entities owned by the subject
3. has subsidiary (wd:P355 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via owns), also known as daughter company, daughter organization, has imprint, imprint, owns, etc.: subsidiary of a company or organization; generally a fully ... division" (P199). Opposite of parent organization (P749). / subsidiary of a company or organization / is subproperty of has part(s) / is subproperty of owner of / is subproperty of has part
4. property (wd:P2306 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps), also known as allowed qualifier, P2306: qualifier to define a property constraint in combination with ... or to limit the scope of Q44292881 (wikidata statement)
5. Wikidata property (wd:P1687 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via property), also known as has property, main property, property, property for this item, P1687: main Wikidata property for this item / main Wikidata property for this item
6. official residence (wd:P263 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via domicile), also known as domicile, executive mansion, executive residence, gubernatorial mansion, home, etc.: the residence at which heads of government and other senior figures officially reside / is subproperty of residence
7. residence (wd:P551 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps), also known as address, has resided in, home city, home town, hometown, etc.: the place where the person is, or has been, resident / the place where the person is or has been, resident / is subproperty of location
8. occupant (wd:P466 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via houses), also known as home team, houses, inhabitant, lessee, location of, etc.: person or organization occupying a building or facility / person or organization occupying property / is subproperty of used by
9. tabular population (wd:P4179 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via population), also known as population, P4179: same as population (P1082); used when there is data for many different points in time
10. population (wd:P1082 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps), also known as human population, inhabitants, P1082: number of people inhabiting the place; number of people of subject / number of people inhabiting the place; number of people of subject / number of people inhabiting the place; number of people of subject

[Assistant] We will use P27 = wd:Q16 (Canada). I'll verify Canada item.

[Tool]
Top 10 entity alternatives:
1. Canada (wd:Q16), also known as CA, CAN, Dominion of Canada, ISO 3166-1:CA: is instance of sovereign state / country in North America / country in North America / is instance of country
2. La Canyada (wd:Q1553440, matched via Cañada), also known as Cañada: is instance of municipality of the Valencian Community / is instance of municipality of Spain / municipality of Spain
3. Province of Canada (wd:Q1121436, matched via Canada), also known as British Canada, Canada, United Canadas, United Province of Canada: is instance of former administrative territorial entity / 1841–1867 UK possession in North America / 1841–1867 UK possession in North America / is instance of crown colony
4. Canada (wd:Q2569593), also known as French Canada: French colony in New France between 1534 and 1763 / is instance of colony
5. Canada (wd:Q5029265), also known as Canada, KS: is instance of unincorporated community in the United States / unincorporated community in Kansas, United States / unincorporated community in Kansas, United States
6. Canada (wd:Q1031917), also known as Canada, Kentucky, Canada, KY: unincorporated community in Pike County, Kentucky, United States / is instance of unincorporated community in the United States / is instance of town
7. Canada (wd:Q13265795): is instance of literary work / 2012 novel by Richard Ford / novel
8. Canada (wd:Q2684010), also known as Kanada: hamlet in Ooststellingwerf, Netherlands / is instance of buurtschap
9. Canadá (wd:Q20275156): is instance of human settlement / human settlement in Mexico
10. Canada (wd:Q21287484): is instance of Wikimedia permanent duplicated page / is instance of Wikimedia permanent duplicate item / Wikimedia permanent duplicate item

[Assistant]
Now plan the SPARQL query: we need deceased Canadian individuals who have FamilySearch person ID (P2889) and whose father (P22) does NOT have P2889. For each person include date of death (P570), FamilySearch person ID, and their father (the father should be an IRI). Also include father's label maybe optional. Must return IRIs of the items. The query should ensure person has P570 and P27=wd:Q16 and wdt:P2889 exists and father's item exists via wdt:P22 ?father and the father has no P2889. In SPARQL we can use MINUS or FILTER NOT EXISTS to exclude fathers with P2889. Use rdfs:label optional for labels.

Construct query selecting ?person ?personLabel ?deathDate ?fsid ?father ?fatherLabel.

We need to ensure ?person wdt:P27 wd:Q16. Also wdt:P570 ?deathDate. wdt:P2889 ?fsid. wdt:P22 ?father.

Then FILTER NOT EXISTS { ?father wdt:P2889 ?fatherFSID } That ensures father lacks FamilySearch ID.

Also might need to ensure person is human (wdt:P31 wd:Q5)? The user asked individuals, probably humans, so include OPTIONAL or required: wdt:P31 wd:Q5. Adding that may omit some items missing P31; but better to include to restrict to humans. I'll include triple ?person wdt:P31 wd:Q5.

Also the father must be an item (not a string), so wdt:P22 ?father is fine.

Make sure date of death returns the actual value.

We must execute the final SPARQL query before answering. Also follow rule: Explain thought process before and after each step and function call. We already explained earlier. Need to show thought process before calling functions and after. We have done some commentary but need to continue.

Now prepare final query and run functions.execute.

I'll explain I'm building final query and then call execute.

I'll run a SPARQL SELECT query that finds humans (?person wdt:P31 wd:Q5) with country of citizenship Canada (wdt:P27 wd:Q16), with a date of death (wdt:P570), with a FamilySearch person ID (wdt:P2889), and with a father (wdt:P22 ?father) for whom there is no FamilySearch person ID. I'll include labels as optional. Now I'll execute the query.

[Tool]
Got 30 rows and 6 columns, showing the first 5 and last 5 rows below:
| person                                 | personLabel                  | deathDate                           | fsid     | father                                        | fatherLabel                        |
| -------------------------------------- | ---------------------------- | ----------------------------------- | -------- | --------------------------------------------- | ---------------------------------- |
| Tommy Douglas (wd:Q359653)             | Tommy Douglas (en)           | 1986-02-24T00:00:00Z (xsd:dateTime) | 9JW9-QTR | Thomas Douglas (wd:Q106518216)                | Thomas Douglas (en)                |
| Renée Reichmann (wd:Q51457100)         | Renée Reichmann (en)         | 1990-02-13T00:00:00Z (xsd:dateTime) | G8RM-CMJ | Avraham (Adolf) Gestetner (wd:Q107183739)     | Avraham (Adolf) Gestetner (en)     |
| Leonard Cohen (wd:Q1276)               | Leonard Cohen (en)           | 2016-11-07T00:00:00Z (xsd:dateTime) | LRC8-M82 | Nathan Bernard Cohen (wd:Q108418474)          | Nathan Bernard Cohen (en)          |
| Margot Kidder (wd:Q234471)             | Margot Kidder (en)           | 2018-05-13T00:00:00Z (xsd:dateTime) | LB59-TN4 | Sidney "Kendall" Kidder (wd:Q111507128)       | Sidney "Kendall" Kidder (en)       |
| Lester B. Pearson (wd:Q128604)         | Lester B. Pearson (en)       | 1972-12-27T00:00:00Z (xsd:dateTime) | L2YX-22R | Reverend Edwin Arthur Pearson (wd:Q126871126) | Reverend Edwin Arthur Pearson (en) |
| ...                                    | ...                          | ...                                 | ...      | ...                                           | ...                                |
| Margaret Wiseman Stairs (wd:Q18690388) | Margaret Wiseman Stairs (en) | 1875-02-05T00:00:00Z (xsd:dateTime) | LHN4-BZD | William Machin Stairs (wd:Q8014985)           | William Machin Stairs (en)         |
| Manly P. Hall (wd:Q930085)             | Manly P. Hall (en)           | 1990-08-29T00:00:00Z (xsd:dateTime) | LBS8-T46 | William Samuel Hall (wd:Q8018081)             | William Samuel Hall (en)           |
| Kate McGarrigle (wd:Q235084)           | Kate McGarrigle (en)         | 2010-01-18T00:00:00Z (xsd:dateTime) | LCDW-BF3 | Frank McGarrigle (wd:Q96088717)               | Frank McGarrigle (en)              |
| Charles Trudeau (wd:Q5083036)          | Charles Trudeau (en)         | 1935-04-10T00:00:00Z (xsd:dateTime) | KPDV-TLT | Joseph Trudeau (wd:Q96234808)                 | Joseph Trudeau (en)                |
| Suzanne Cloutier (wd:Q456476)          | Suzanne Cloutier (en)        | 2003-12-02T00:00:00Z (xsd:dateTime) | LCZK-134 | Edmond Cloutier (wd:Q97068618)                | Edmond Cloutier (en)               |

[Assistant] I'll re-run the final SPARQL query (ordered and with a larger limit) to retrieve the full result set so I can list each matching person with their death date, FamilySearch ID, and father.

[Tool]
Got 30 rows and 6 columns, showing the first 5 and last 5 rows below:
| person                                   | personLabel                      | deathDate                           | fsid     | father                                         | fatherLabel                         |
| ---------------------------------------- | -------------------------------- | ----------------------------------- | -------- | ---------------------------------------------- | ----------------------------------- |
| Adolphe-Philippe Caron (wd:Q365644)      | Adolphe-Philippe Caron (en)      | 1908-04-20T00:00:00Z (xsd:dateTime) | 9MLK-G5S | René-Édouard Caron (wd:Q1524910)               | René-Édouard Caron (en)             |
| Alexa McDonough (wd:Q2604970)            | Alexa McDonough (en)             | 2022-01-15T00:00:00Z (xsd:dateTime) | GDGD-D7Q | Lloyd Shaw (wd:Q6662738)                       | Lloyd Shaw (en)                     |
| Amos Edwin Botsford (wd:Q587924)         | Amos Edwin Botsford (en)         | 1894-03-19T00:00:00Z (xsd:dateTime) | MX6R-BF2 | William Botsford (wd:Q8005737)                 | William Botsford (en)               |
| Bill John Birch (wd:Q76108951)           | Bill John Birch (en)             | 1947-02-17T00:00:00Z (xsd:dateTime) | K2F2-4T6 | Robert Featherstonehaugh Birch (wd:Q76109040)  | Robert Featherstonehaugh Birch (en) |
| Charles Henry Keefer (wd:Q5079699)       | Charles Henry Keefer (en)        | 1932-04-12T00:00:00Z (xsd:dateTime) | 2WPF-S1H | Thomas Keefer (wd:Q7791448)                    | Thomas Keefer (en)                  |
| ...                                      | ...                              | ...                                 | ...      | ...                                            | ...                                 |
| Rob Ford (wd:Q169303)                    | Rob Ford (en)                    | 2016-03-22T00:00:00Z (xsd:dateTime) | L18V-HZW | Doug Ford Sr. (wd:Q5300479)                    | Doug Ford Sr. (en)                  |
| Suzanne Cloutier (wd:Q456476)            | Suzanne Cloutier (en)            | 2003-12-02T00:00:00Z (xsd:dateTime) | LCZK-134 | Edmond Cloutier (wd:Q97068618)                 | Edmond Cloutier (en)                |
| Tommy Douglas (wd:Q359653)               | Tommy Douglas (en)               | 1986-02-24T00:00:00Z (xsd:dateTime) | 9JW9-QTR | Thomas Douglas (wd:Q106518216)                 | Thomas Douglas (en)                 |
| Wilfrid Laurier (wd:Q128664)             | Wilfrid Laurier (en)             | 1919-02-17T00:00:00Z (xsd:dateTime) | K6HH-VJF | unknown Laurier (wd:Q76336310)                 | unknown Laurier (en)                |
| William Cornelius Van Horne (wd:Q472946) | William Cornelius Van Horne (en) | 1915-09-11T00:00:00Z (xsd:dateTime) | LKDX-LYJ | Cornelius Covenhoven Van Horne (wd:Q131401528) | Cornelius Covenhoven Van Horne (en) |

[Assistant] I'll run the same SELECT query again (no changes) to retrieve the full result set so I can list each matched person with date of death, FamilySearch ID, and father.

[Tool]
Got 30 rows and 6 columns, showing the first 5 and last 5 rows below:
| person                                   | personLabel                      | deathDate                           | fsid     | father                                         | fatherLabel                         |
| ---------------------------------------- | -------------------------------- | ----------------------------------- | -------- | ---------------------------------------------- | ----------------------------------- |
| Adolphe-Philippe Caron (wd:Q365644)      | Adolphe-Philippe Caron (en)      | 1908-04-20T00:00:00Z (xsd:dateTime) | 9MLK-G5S | René-Édouard Caron (wd:Q1524910)               | René-Édouard Caron (en)             |
| Alexa McDonough (wd:Q2604970)            | Alexa McDonough (en)             | 2022-01-15T00:00:00Z (xsd:dateTime) | GDGD-D7Q | Lloyd Shaw (wd:Q6662738)                       | Lloyd Shaw (en)                     |
| Amos Edwin Botsford (wd:Q587924)         | Amos Edwin Botsford (en)         | 1894-03-19T00:00:00Z (xsd:dateTime) | MX6R-BF2 | William Botsford (wd:Q8005737)                 | William Botsford (en)               |
| Bill John Birch (wd:Q76108951)           | Bill John Birch (en)             | 1947-02-17T00:00:00Z (xsd:dateTime) | K2F2-4T6 | Robert Featherstonehaugh Birch (wd:Q76109040)  | Robert Featherstonehaugh Birch (en) |
| Charles Henry Keefer (wd:Q5079699)       | Charles Henry Keefer (en)        | 1932-04-12T00:00:00Z (xsd:dateTime) | 2WPF-S1H | Thomas Keefer (wd:Q7791448)                    | Thomas Keefer (en)                  |
| ...                                      | ...                              | ...                                 | ...      | ...                                            | ...                                 |
| Rob Ford (wd:Q169303)                    | Rob Ford (en)                    | 2016-03-22T00:00:00Z (xsd:dateTime) | L18V-HZW | Doug Ford Sr. (wd:Q5300479)                    | Doug Ford Sr. (en)                  |
| Suzanne Cloutier (wd:Q456476)            | Suzanne Cloutier (en)            | 2003-12-02T00:00:00Z (xsd:dateTime) | LCZK-134 | Edmond Cloutier (wd:Q97068618)                 | Edmond Cloutier (en)                |
| Tommy Douglas (wd:Q359653)               | Tommy Douglas (en)               | 1986-02-24T00:00:00Z (xsd:dateTime) | 9JW9-QTR | Thomas Douglas (wd:Q106518216)                 | Thomas Douglas (en)                 |
| Wilfrid Laurier (wd:Q128664)             | Wilfrid Laurier (en)             | 1919-02-17T00:00:00Z (xsd:dateTime) | K6HH-VJF | unknown Laurier (wd:Q76336310)                 | unknown Laurier (en)                |
| William Cornelius Van Horne (wd:Q472946) | William Cornelius Van Horne (en) | 1915-09-11T00:00:00Z (xsd:dateTime) | LKDX-LYJ | Cornelius Covenhoven Van Horne (wd:Q131401528) | Cornelius Covenhoven Van Horne (en) |

[Assistant] I'll run the final SPARQL query once more to get the full set of matching persons (returning the person and father IRIs, date of death, and FamilySearch ID) so I can include every result in the answer.

[Tool]
Got 30 rows and 4 columns, showing the first 5 and last 5 rows below:
| person                           | deathDate                           | fsid     | father                                        |
| -------------------------------- | ----------------------------------- | -------- | --------------------------------------------- |
| Maurice Duplessis (wd:Q113941)   | 1959-09-07T00:00:00Z (xsd:dateTime) | MJKT-BNJ | Nérée Le Noblet Duplessis (wd:Q3347208)       |
| Leonard Cohen (wd:Q1276)         | 2016-11-07T00:00:00Z (xsd:dateTime) | LRC8-M82 | Nathan Bernard Cohen (wd:Q108418474)          |
| Lester B. Pearson (wd:Q128604)   | 1972-12-27T00:00:00Z (xsd:dateTime) | L2YX-22R | Reverend Edwin Arthur Pearson (wd:Q126871126) |
| Wilfrid Laurier (wd:Q128664)     | 1919-02-17T00:00:00Z (xsd:dateTime) | K6HH-VJF | unknown Laurier (wd:Q76336310)                |
| John A. Macdonald (wd:Q128702)   | 1891-06-06T00:00:00Z (xsd:dateTime) | LL7R-43B | Hugh Macdonald (wd:Q75602449)                 |
| ...                              | ...                                 | ...      | ...                                           |
| Amos Edwin Botsford (wd:Q587924) | 1894-03-19T00:00:00Z (xsd:dateTime) | MX6R-BF2 | William Botsford (wd:Q8005737)                |
| Bill John Birch (wd:Q76108951)   | 1947-02-17T00:00:00Z (xsd:dateTime) | K2F2-4T6 | Robert Featherstonehaugh Birch (wd:Q76109040) |
| Manly P. Hall (wd:Q930085)       | 1990-08-29T00:00:00Z (xsd:dateTime) | LBS8-T46 | William Samuel Hall (wd:Q8018081)             |
| Norma Shearer (wd:Q95019)        | 1983-06-12T00:00:00Z (xsd:dateTime) | KNJG-63F | Andrew Shearer (wd:Q66011744)                 |
| Farley Mowat (wd:Q966679)        | 2014-05-06T00:00:00Z (xsd:dateTime) | G3LV-8C8 | Angus McGill Mowat (wd:Q21608121)             |

[Assistant] I have executed the final SPARQL query and retrieved results. I'll now prepare the final answer including the SPARQL query and summarizing the results.

[Tool] Stopping