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 ?award ?awardLabel ?type ?typeLabel ( COUNT( ?person ) AS ?count ) WHERE {
  {
    SELECT ?award ( MIN( ?rank ) AS ?minRank ) WHERE {
      ?person wdt:P9044 ?geprisID ; wdt:P166 ?award .
      ?award ( wdt:P31 / wdt:P279 * ) ?type .
      VALUES ( ?type ?rank ) {
        ( wd:Q11448906 1 ) ( wd:Q15383322 2 ) ( wd:Q107471279 3 ) ( wd:Q378427 4 ) ( wd:Q107494520 5 ) ( wd:Q1966910 6 ) ( wd:Q1709894 7 ) ( wd:Q618779 8 ) ( wd:Q5257307 9 )
      }
    }
    GROUP BY ?award
  }
  ?person wdt:P9044 ?geprisID ; wdt:P166 ?award .
  ?award ( wdt:P31 / wdt:P279 * ) ?type .
  VALUES ( ?type ?rank ) {
    ( wd:Q11448906 1 ) ( wd:Q15383322 2 ) ( wd:Q107471279 3 ) ( wd:Q378427 4 ) ( wd:Q107494520 5 ) ( wd:Q1966910 6 ) ( wd:Q1709894 7 ) ( wd:Q618779 8 ) ( wd:Q5257307 9 )
  }
  {
    SELECT ?award ( MIN( ?rank ) AS ?minRank2 ) WHERE {
      ?award ( wdt:P31 / wdt:P279 * ) ?type .
      VALUES ( ?type ?rank ) {
        ( wd:Q11448906 1 ) ( wd:Q15383322 2 ) ( wd:Q107471279 3 ) ( wd:Q378427 4 ) ( wd:Q107494520 5 ) ( wd:Q1966910 6 ) ( wd:Q1709894 7 ) ( wd:Q618779 8 ) ( wd:Q5257307 9 )
      }
    }
    GROUP BY ?award
  }
  FILTER ( ?rank = ?minRank2 ) OPTIONAL {
    ?award rdfs:label ?awardLabel FILTER ( LANG( ?awardLabel ) = "en" )
  }
  OPTIONAL {
    ?type rdfs:label ?typeLabel FILTER ( LANG( ?typeLabel ) = "en" )
  }
}
GROUP BY ?award ?awardLabel ?type ?typeLabel
ORDER BY ?type ?awardLabel

Got 834 rows and 5 columns, showing the first 5 and last 5 rows below:
| award                                            | awardLabel                            | type                         | typeLabel          | count        |
| ------------------------------------------------ | ------------------------------------- | ---------------------------- | ------------------ | ------------ |
| wd:Q1440985                                      |                                       | science award (wd:Q11448906) | science award (en) | 2 (xsd:int)  |
| wd:Q128791520                                    |                                       | science award (wd:Q11448906) | science award (en) | 2 (xsd:int)  |
| Ackermann–Teubner Memorial Award (wd:Q178669)    | Ackermann–Teubner Memorial Award (en) | science award (wd:Q11448906) | science award (en) | 9 (xsd:int)  |
| ACS Award in Polymer Chemistry (wd:Q15781180)    | ACS Award in Polymer Chemistry (en)   | science award (wd:Q11448906) | science award (en) | 2 (xsd:int)  |
| Adolf-von-Baeyer Gold Medal (wd:Q360626)         | Adolf-von-Baeyer Gold Medal (en)      | science award (wd:Q11448906) | science award (en) | 13 (xsd:int) |
| ...                                              | ...                                   | ...                          | ...                | ...          |
| Wilhelm Leuschner Medal (wd:Q2571514)            | Wilhelm Leuschner Medal (en)          | award (wd:Q618779)           | award (en)         | 4 (xsd:int)  |
| Willdenow Medal (wd:Q2576650)                    | Willdenow Medal (en)                  | award (wd:Q618779)           | award (en)         | 1 (xsd:int)  |
| Wolfgang Amadeus Mozart Prize (wd:Q2589008)      | Wolfgang Amadeus Mozart Prize (en)    | award (wd:Q618779)           | award (en)         | 1 (xsd:int)  |
| Worcester Reed Warner Gold Medal (wd:Q106410995) | Worcester Reed Warner Gold Medal (en) | award (wd:Q618779)           | award (en)         | 2 (xsd:int)  |
| Wound Badge (1918) in Black (wd:Q130343741)      | Wound Badge (1918) in Black (en)      | award (wd:Q618779)           | award (en)         | 1 (xsd:int)  |

This refined query ensures that each award is counted only once under its most specific type (e.g., science award, cultural prize, etc.), avoiding duplicates under general types. It returns the award IRI, its label, its most specific type, the type label, and the count of how many times it was received by individuals in the GEPRIS Historisch database.

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

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

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] What are the different types of awards received by individuals listed in the GEPRIS Historisch database, along with their labels and the count of each award? The awards should be filtered to include only specific types such as general awards, science awards, cultural prizes, chemistry awards, literary awards, physics awards, national academies, and journalism prizes.

[Assistant]
Let's break down the question:

1. We need to find awards received by individuals listed in the GEPRIS Historisch database.
2. For each award, we want its type, label, and the count of how many times it was received.
3. The awards should be filtered to include only certain types: general awards, science awards, cultural prizes, chemistry awards, literary awards, physics awards, national academies, and journalism prizes.

Step 1: Identify the entity for the GEPRIS Historisch database in Wikidata.
Step 2: Find how individuals are linked to this database (likely via an identifier property).
Step 3: Find the property for "award received."
Step 4: Identify the types of awards (e.g., subclasses of "award" or specific categories).
Step 5: Construct a query that counts the number of times each award type is received by individuals in the GEPRIS Historisch database, returning the award IRI, its label, its type, and the count.

Let's proceed step by step.

First, I will search for "GEPRIS Historisch" in Wikidata to find its entity.

[Tool]
Top 10 entity alternatives:
1. GEPRIS Historisch (wd:Q104599609): database of projects funded by German Research Foundation between 1920 and 1945
2. GEPRIS Historisch person ID (wd:P9044): identifier of a person in GEPRIS Historisch database of funded r...eutsche Forschungsgemeinschaft (DFG, German Research Foundation)
3. GEPRIS, also known as German Project Information System (wd:Q48879895): database of projects funded by German Research Foundation (DFG)
4. WordGraph - Development of a uni...uiring lexico-semantic phenomena, also known as GEPRIS, Word Graph (wd:Q116122602): 2007-2018 German Research Foundation linguistics research project
5. Historisches Lexikon des Fürstentums Liechtenstein, also known as Historical Lexicon of the Principality of Liechtenstein, historisches-lexikon.li, HLFL (wd:Q59035927): encyclopedia on the history of Liechtenstein
6. Former city hall of Halle, also known as Historisch Stadhuis, Oud Stadhuis, Renaissancestadhuis, Stadhuis (wd:Q2284117): former city hall of Halle, Belgium
7. Historisch Nieuwsblad (wd:Q21008985)
8. Historisch Centrum, also known as historic center of Antwerp, Antwerp historic center (wd:Q64685207): historic center of Antwerp, Belgium
9. Wegweiser historisch (wd:Q41174096)
10. Historisch Goor (wd:Q110891771)

[Assistant]
The relevant entities are:
- GEPRIS Historisch (wd:Q104599609): the database itself.
- GEPRIS Historisch person ID (wd:P9044): the identifier property for individuals in this database.

So, to find individuals listed in the GEPRIS Historisch database, we should look for humans (wd:Q5) with a GEPRIS Historisch person ID (wd:P9044).

Next, we need to find the property for "award received."

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

[Assistant]
The main property for "award received" is wdt:P166.

Now, we need to identify the types of awards to filter for: general awards, science awards, cultural prizes, chemistry awards, literary awards, physics awards, national academies, and journalism prizes.

These are likely subclasses of "award" (wd:Q618779) or related classes. Let's search for entities in Wikidata matching these types to get their Q-IDs. I'll start by searching for "science award" and proceed with the others.

[Tool]
Top 10 entity alternatives:
1. science award, also known as award in science, award (science), science prize, scientific award, scientific prize (wd:Q11448906): award for science
2. Mahathir Science Award (wd:Q106960581): Award named after Mahathir Mohamad
3. GCSE Science, also known as Single Award Science (wd:Q7523823): British educational qualification
4. Suffrage Science award (wd:Q56765711): Prize for women in science, engineering and computing
5. Berlin Science Award (wd:Q821879)
6. Finnish Science Award (wd:Q11895129): Finnish award, granted biannually by the Ministry of Education and Culture
7. India Science Award (wd:Q6019402)
8. Korea Science Award (wd:Q19483802): South Korean award
9. Science Writing Award (wd:Q6084965): Award for excellence in writing about science
10. Ammodo Science Award for Fundamental Research, also known as Ammodo KNAW award, Ammodo Science Award (wd:Q28725741): Dutch award

[Tool]
Top 10 entity alternatives:
1. cultural prize, also known as cultural award, culture prize (wd:Q15383322): type of award in the field of culture
2. Faroese Cultural Prize, also known as Heiðurgáva landsins, Mentanarvirðisløn Landsins, Faroese Prize for Young Artist, Faroese Life Achievement Award, Faroese Cultural Award (wd:Q800098): Faroese annual cultural award given by the Faroese government to Faroese writers, musicians, artists, film directors etc.
3. Hessian Cultural Prize (wd:Q1615933): The cultural prize instituted in 1981 by the state government of Hesse, Germany
4. Manor Cultural Prize, also known as le Prix Culturel Manor, Prix Manor (wd:Q1891015): Swiss award for visual artists
5. Würzburg Cultural Prize (wd:Q1320081): cultural award in Germany
6. Vantaa cultural prize, also known as Vantaa cultural award, Vantaa culture prize, Vantaa culture award (wd:Q25454289): Finnish culture award
7. Tezuka Osamu Cultural Prize (wd:Q1336528): award
8. Mainichi Publication Culture Award, also known as Mainchi Cultural prizes, Mainichi Publishing Culture Award, Mainichi Shuppan Bunkasho (wd:Q1554156): Japanese award
9. Georg Dehio Cultural Prize (wd:Q17511309)
10. The Greenlandic Cultural Prize (wd:Q66108319)

[Tool]
Top 10 entity alternatives:
1. chemistry award (wd:Q107471279): academic award to recognize achievements in chemistry
2. Bioinorganic Chemistry Award (wd:Q18560138): award granted by the Royal Society of Chemistry
3. Green Chemistry Award (wd:Q18560158): award granted by the Royal Society of Chemistry
4. Dream Chemistry Award (wd:Q78938012): award
5. Supramolecular Chemistry Award (wd:Q18560203): award granted by the Royal Society of Chemistry
6. Bioorganic Chemistry Award, also known as RSC Bioorganic Chemistry Award (wd:Q18560139): award granted by the Royal Society of Chemistry
7. Organometallic Chemistry Award (wd:Q18560189): award granted by the Royal Society of Chemistry
8. Medicinal Chemistry Award (wd:Q56669328): award of the Royal Society of Chemistry (1971-2005)
9. Welch Award in Chemistry, also known as Robert A. Welch Award, Robert A. Welch Award in Chemistry, Welch Award (wd:Q1632244): American chemistry prize (1972-)
10. Applied Inorganic Chemistry Award (wd:Q18560129): award granted by the Royal Society of Chemistry

[Tool]
Top 10 entity alternatives:
1. literary award, also known as book award, book prize, literary prize, literature award, literature prize (wd:Q378427): award for writers, literary associations and literary works
2. literary award (wd:L494575-S4)
3. Lambda Literary Award, also known as Lambdas, Lammies (wd:Q594550): award for published works which celebrate or explore LGBT themes
4. SAARC Literary Award (wd:Q17126068): literary award given by SAARC's literary wing to the writers from SAARC countries
5. Daesan Literary Award (wd:Q11232367)
6. Aftonbladet Literary Award (wd:Q2684629): Swedish literary award
7. Dong-in Literary Award (wd:Q623969): award
8. Rancage Literary Award (wd:Q7475785): Indonesian literary award
9. Yookwoodang Literary Award (wd:Q23718746): literary award
10. Adamjee Literary Award, also known as Adamjee Award, Adam Jee Award, Adam Jee Literary Award (wd:Q19582542): Pakistan's literary prize

[Tool]
Top 10 entity alternatives:
1. physics award (wd:Q107494520): type of award
2. Wang Ganchang Physics Award (wd:Q48911119)
3. Institute of Physics Awards (wd:Q85769551): list of IOP medals and prizes
4. Excellence in Physics Education Award (wd:Q110867751): annual award of the American Physical Society
5. Dissertation Award in Nuclear Physics, also known as DNP Dissertation Award (wd:Q125210599): award of the American Physical Society
6. Physics award acclaims superfluid helium (wd:Q60088654): scientific article published in Nature
7. Physics Award for Tunnelling Research (wd:Q59052992): scientific article published in Nature
8. Physics award yields high return (wd:Q80900982): scientific article published on 01 April 1990
9. Irving Langmuir Award in Chemical Physics, also known as Irving Langmuir Award (wd:Q901579): award for interdisciplinary research in chemistry and physics
10. Bertram Eugene Warren Diffraction Physics Award, also known as Eugene Warren Award, Warren Award (wd:Q123436651): American award in physics

[Tool]
Top 10 entity alternatives:
1. national academy, also known as National Academy of Video Game Trade Reviewers Awards (wd:Q1966910): organizational body, usually operating with state financial supp...iplines, most frequently in the sciences but also the humanities
2. National Defence Academy, also known as Indian National Defence Academy, NDA (wd:Q3630909): Defence training institute of Indian armed forces
3. TCIFA National Academy (wd:Q1354743): sports venue
4. National Sports Academy, also known as National Sports Academy Vasil Levski, National Sports Academy Vassil Levski, NSA Vasil Levski, National Institute of Physical Education Vassil Levski (wd:Q6978640): college in Sofia, Bulgaria
5. Central Guoshu Institute, also known as National Martial Arts Academy, National Wushu Academy (wd:Q2274126): a martial arts academy
6. National Virgilian Academy, also known as Accademia Nazionale Virgiliana (wd:Q139860): academy of sciences
7. National Academies Press, also known as The National Academies Press, National Academy Press (wd:Q6970107): organization in Washington D.C., United States
8. Singapore NFA U-18, also known as National Football Academy (wd:Q7523054)
9. Talysh National Academy (wd:Q105080371)
10. National Judicial Academy (wd:Q6973888): judicial training wing of India

[Tool]
Top 10 entity alternatives:
1. journalism prize, also known as journalism award, journalist prize (wd:Q1709894): type of award for journalism
2. Sami Journalism Prize (wd:Q10660928): Swedish journalism prize (2009-)
3. «Colombine» Journalism Prize (wd:Q87477513)
4. European Parliament Journalism Prize (wd:Q1993482)
5. Lorenzo Natali Journalism Prize (wd:Q6680780): Annual journalism award
6. Stora Journalistpriset, also known as Grand Prize for Journalism (wd:Q3436850): Swedish journalism prize (1966-)
7. National Prize for Journalism (wd:Q11942619): award granted by the Government of Catalonia
8. American Mosaic Journalism Prize (wd:Q112570785): Journalism award
9. Grand Prize for Journalism, also known as Journalist Award, Journalist award of Finland (wd:Q11854492): annual Finnish journalist award given by the Association of Finnish Chief Journalists (2001-)
10. Miguel Delibes Journalism Prize (wd:Q9062329)

[Tool]
Top 10 entity alternatives:
1. General Heusinger Award (wd:Q1501515): award
2. GENERAL practitioner's award (wd:Q75502979): scientific article published on 01 December 1950
3. GENERAL practitioner's award (wd:Q75852621): scientific article published on 01 December 1951
4. Governor General's Awards, also known as Governor General's Award (wd:Q283256): Canadian academic, artistic, and social awards
5. ANNUAL General Practitioner's Award (wd:Q74007715): scientific article published on 01 December 1952
6. ANNUAL general Practitioner's Award (wd:Q73333286): scientific article published on 01 December 1953
7. General medical nursing award (wd:Q120749915): scientific article published in 1996
8. Governor General's Literary Awards, also known as Dominion Literary Awards, GGBooks, Governor General's Literary Award (wd:Q3405963): Canadian literary award
9. General Maxwell R. Thurman Award (wd:Q5532018)
10. MFO Director General's Award (wd:Q17131651)

[Tool]
Top 10 entity alternatives:
1. award, also known as honour, prize, medal, honor, Awards and Prizes (wd:Q618779): something given to a person or a group of people to recognize their merit or excellence
2. achievement, also known as video game trophy, video game achievement, trophy, trophies, stamps (wd:Q2988681): meta-goal in a video game
3. bestowing, also known as award, bestowal, grant, providing (wd:Q24301034): act of giving something as honour or gift
4. association football trophy or award, also known as award, football award, football trophy, trophy (wd:Q4493701): sports trophy or award
5. African Women in Agricultural Research and Development, also known as AWARD (wd:Q117863220): research institute
6. Association for Water and Rural Development, also known as AWARD (wd:Q132803457): nonprofit organization in AFB Hoedspruit, South Africa
7. Award (wd:Q98622114): scientific article published on 01 August 2020
8. Award (wd:Q84275778): scientific article published on 01 February 1984
9. award (wd:L1010224-S2)
10. award (wd:L475593-S1)

[Tool]
Top 10 entity alternatives:
1. award, also known as honour, prize, medal, honor, Awards and Prizes (wd:Q618779): something given to a person or a group of people to recognize their merit or excellence
2. prize (wd:Q5257307): award to be given to a person, a group of people, or an organization to recognise and reward actions or achievements
3. The Prize, also known as Prize (wd:Q751341): 1963 film by Mark Robson
4. prize (wd:Q1967845): term used in admiralty law, equipment, vehicle, boat or vessel captured during a military conflict
5. The Prize, also known as El premio, Prize (wd:Q1324517): 2011 film by Paula Markovitch
6. Prize (wd:Q15700638): marketing concept
7. Madame Husson's Rose, also known as Prize, The Prize (wd:Q3226661): 1950 film by Jean Boyer
8. The Prize, also known as Il Premio, Prize (wd:Q55646353): 2017 film directed by Alessandro Gassmann
9. The Prize, also known as Prize (wd:Q10695755): 1986 film
10. Prize (wd:Q111168620): 1999 studio album by Arto Lindsay

[Assistant]
We now have the following relevant Q-IDs for filtering award types:
- General awards: award (wd:Q618779) and prize (wd:Q5257307)
- Science awards: science award (wd:Q11448906)
- Cultural prizes: cultural prize (wd:Q15383322)
- Chemistry awards: chemistry award (wd:Q107471279)
- Literary awards: literary award (wd:Q378427)
- Physics awards: physics award (wd:Q107494520)
- National academies: national academy (wd:Q1966910)
- Journalism prizes: journalism prize (wd:Q1709894)

We should include awards that are instances of or subclasses of these types.

Now, let's summarize the plan for the SPARQL query:
- Select humans (wd:Q5) with a GEPRIS Historisch person ID (wd:P9044).
- For each, get their "award received" (wdt:P166).
- For each award, get its type (instance of/subclass of) and filter to the above Q-IDs (or subclasses).
- Group by award, returning the award IRI, its label, its type, and the count.

Let's check which property is used for "instance of" and "subclass of" for awards.

[Tool]
Top 10 property alternatives:
1. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
2. Wikidata property example, also known as e.g., Wikidata property sample, property sample, property example, for example (wd:P1855 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): example where this Wikidata property is used; target item is one...ualifier the property being described given the associated value
3. quantity, also known as amount, total number, total, qty, occurrences (wd:P1114 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): number of instances of this subject in the universe of the subje...e actual number of instances in Wikidata may be lower or higher)
4. subproperty of, also known as subclass of property, superproperty, subPropertyOf, rdfs:subPropertyOf, parent property (wd:P1647 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): all resources related by this property are also related by that property, related property
5. partially coincident with, also known as intersecting with, has overlap with, has common parts with, has common members with, has common instances with (wd:P1382 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): object that partially overlaps with the subject in its instances, parts, or members, different from
6. model item, also known as specimen, sample, featured item, example item, best example (wd:P5869 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): defines which item is a best practice example of modelling a sub...lue of this property, usage instructions at Wikidata:Model items
7. permanent duplicated item, also known as same concept as, same as, duplicate of, permanently duplicated item, duplicate of item (wd:P2959 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): this item duplicates another item and the two can't be merged, a... cdowiki, gomwiki, nanwiki).  Use P31=Q17362920 for other wikis.
8. exemplar of, also known as contains work, includes work, contents (wd:P1574 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): Links an individual copy of a work to the item for that work or edition, instance of
9. usage example, also known as sentence, use in a sentence, example sentence (wd:P5831 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): example of how a lexeme (sense) might be used
10. fictional or mythical analog of, also known as fictionalisation of, mythical analog of, fictional version of, fictionalization of, fictional analog of (wd:P1074 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): used to link an entity or class of entities appearing in a creat...with the analogous entity or class of entities in the real world, inspired by

[Tool]
Top 10 property alternatives:
1. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
2. is metaclass for, also known as instances are a subclass of, instances are subclasses of, instances are subclass of, is a metaclass for, is a metaclass of (wd:P8225 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): all instances of the subject are subclasses of the object
3. subproperty of, also known as subclass of property, superproperty, subPropertyOf, rdfs:subPropertyOf, parent property (wd:P1647 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): all resources related by this property are also related by that property, related property
4. facet of, also known as subitem of, topic of, subtopic of, subject in, section in (wd:P1269 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): topic of which this item is an aspect; item that offers a broader perspective on the same topic
5. narrower external class, also known as external subclass (wd:P3950 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): more specific subclass included in other ontology but not in Wikidata
6. metasubclass of, also known as metaclass of (wd:P2445 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): relation between two metaclasses: instances of this metaclass ar...subclasses of classes that are instances of the target metaclass
7. part of, also known as of, within, system of, subsystem of, subgroup of (wd:P361 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): object of which the subject is a part (if this subject is alread... of "has part" (P527, see also "has parts of the class" (P2670))
8. equivalent in higher rank taxon, also known as term in larger group, closest concept in higher taxon, term in higher taxon, term in higher-order taxon, subclass of higher-taxon concept (wd:P10019 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): an equivalent class that is species-neutral or scoped to higher ranking taxa, subclass of
9. equivalent class, also known as schema.org type, same kind of thing, same grouping, same class, external class (wd:P1709 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): equivalent class in other ontologies (use property URI), exact match, URL
10. part of the series, also known as series, video game series, subseries, part of series, listed in (wd:P179 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): series which contains the subject, part of

[Assistant]
The properties are:
- instance of: wdt:P31
- subclass of: wdt:P279

To include all relevant awards, we should check if the award is an instance of or subclass of any of the target types, or if it is a subclass (recursively) of one of them.

Now, let's construct the SPARQL query:
- Select humans (wd:Q5) with a GEPRIS Historisch person ID (wd:P9044)
- For each, get their "award received" (wdt:P166)
- For each award, get its type (wdt:P31/wdt:P279*) and filter for the relevant types
- Group by award, returning the award IRI, its label, its type, and the count

Here's the SPARQL query:

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The query is mostly correct and comprehensive, but there are a few points for refinement:

1. The query currently allows awards to be counted under multiple types due to the use of (wdt:P31/wdt:P279*) ?type and the VALUES clause. For example, the same award may appear as both a general award and a cultural prize, leading to duplicate rows for the same award with different types. If the intent is to count each award only once under its most specific type, further refinement is needed, such as preferring the most specific type or grouping accordingly.

2. The query includes both 'award' (Q618779) and 'prize' (Q5257307) as types, which are very general and may overlap with the more specific types. Consider whether you want to include these general types or focus only on the more specific award categories listed in the question.

3. The query correctly uses OPTIONAL for labels and does not use the unsupported SERVICE wikibase:label. It also returns IRIs as required.

4. If the user wants only the count per award type (not per award), the grouping should be adjusted. But as it stands, the query matches the question's request for counts per award.

In summary: The query is sensible and mostly correct, but could be refined to reduce duplicate rows and clarify type specificity.

[Assistant]
Thank you for the feedback! Here’s how I’ll refine the query based on your points:

1. To avoid duplicate rows for the same award under multiple types, I will select only the most specific type for each award. This can be done by excluding general types (like "award" and "prize") if a more specific type (e.g., "science award", "cultural prize", etc.) is available for that award.
2. I will focus on the more specific award categories and only include "award" or "prize" if the award does not fall under any of the specific types.
3. I will ensure that each award is counted only once under its most specific type.

To achieve this, I will:
- Gather all types (instance of/subclass of) for each award.
- Assign a "specificity rank" to each type (e.g., science award, cultural prize, etc. are more specific than general award/prize).
- For each award, select the type with the highest specificity.
- Group and count accordingly.

Let’s proceed step by step.

First, I’ll define the specificity order:
1. science award (Q11448906)
2. cultural prize (Q15383322)
3. chemistry award (Q107471279)
4. literary award (Q378427)
5. physics award (Q107494520)
6. national academy (Q1966910)
7. journalism prize (Q1709894)
8. award (Q618779)
9. prize (Q5257307)

Now, I’ll write a query that:
- Gets all types for each award.
- Assigns a specificity rank.
- Selects the type with the highest specificity for each award.
- Counts the number of times each award is received.

This requires using a subquery to assign ranks and select the minimum rank (i.e., most specific type) per award.

Here is the refined SPARQL query:

[Tool] Stopped generation process

[User]
Feedback (status=done):
The query is well-constructed and meets the requirements: it returns the IRIs of the awards, their labels, the most specific type (from the requested set), the type label, and the count of each award received by individuals in the GEPRIS Historisch database. The use of ranking ensures that each award is counted only under its most specific relevant type, avoiding duplicates. Labels are retrieved using OPTIONAL and filtered for English, as appropriate. The query does not use unsupported SERVICE clauses and follows all the rules provided. No further refinement is necessary.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?item WHERE {
  ?item wdt:P1448 ?name .
  FILTER ( ?name = "Коломия" @uk )
}

The items with the official name "Коломия" in Ukrainian are those returned by this query. For example, Kolomyia (wd:Q52193) is one such item.

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

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

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] Which items have the official name "Коломия" in Ukrainian?

[Assistant]
Let's break down the question:

1. We are looking for items (entities) that have the official name "Коломия" in Ukrainian.
2. We need to identify the property for "official name" and ensure the language is Ukrainian.

First, I will search for the property "official name" in Wikidata.

[Tool]
Top 10 property alternatives:
1. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): label for the items in their official language  or their original language, name
2. official name, also known as long title, name, official title, registered name, full title (wd:P1448 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): official name of the subject in its official language(s), name
3. officialized by, also known as made official by, officialised by (wd:P5194 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): the item which officialized this lexeme
4. short name, also known as short title, shortname, abbreviation, shortened name, initialism (wd:P1813 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): short name of a place, organisation, person, journal, wikidata property, etc. Used by some Wikipedia templates., name
5. official symbol, also known as symbol, state tartan, official tartan, floral emblem, official emblem (wd:P2238 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): official symbol of an organisation
6. nickname, also known as informal name, moniker, other name, othername, other_names (wd:P1449 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): informal name (for a pseudonym use P742), name
7. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
8. anthem, also known as national anthem, team anthem, official song, official hymn, club anthem (wd:P85 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): subject's official anthem
9. courtesy name, also known as courtesy name, style name, zi (wd:P1782 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): name bestowed upon a person at adulthood in addition to one's given name, mostly in East Asia, name
10. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name

[Assistant]
The correct property for "official name" is wd:P1448. Now, I need to find items where the official name is "Коломия" and the language is Ukrainian.

To ensure the language is Ukrainian, I will check how language qualifiers are represented for this property. Usually, qualifiers like "language of work or name" (wd:P407) are used, but I will confirm this by listing some triples using the "official name" property.

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                     | property                  | object                              |
| --------------------------- | ------------------------- | ----------------------------------- |
| Ivory Coast (wd:Q1008)      | official name (wdt:P1448) | Côte d'Ivoire (fr)                  |
| The Gambia (wd:Q1005)       | official name (wdt:P1448) | Islamic Republic of The Gambia (en) |
| Guinea (wd:Q1006)           | official name (wdt:P1448) | Guinée (fr)                         |
| Guinea-Bissau (wd:Q1007)    | official name (wdt:P1448) | Guinea-Bissau (it)                  |
| Gabon (wd:Q1000)            | official name (wdt:P1448) | Gabon (fr)                          |
| Boston (wd:Q100)            | official name (wdt:P1448) | Boston (en)                         |
| Cluj-Napoca (wd:Q100188)    | official name (wdt:P1448) | Cluj-Napoca (ro)                    |
| Dutch Wikipedia (wd:Q10000) | official name (wdt:P1448) | Nederlandstalige Wikipedia (nl)     |
| Deventer (wd:Q10001)        | official name (wdt:P1448) | Deventer (nl)                       |
| Maranello (wd:Q100060)      | official name (wdt:P1448) | Maranello (it)                      |
| ...                         | ...                       | ...                                 |

[Assistant]
From the results, I see that the language code is included in parentheses after the name (e.g., "Côte d'Ivoire (fr)"). For Ukrainian, the language code is "uk".

Now, I will write a SPARQL query to find all items with the official name "Коломия" in Ukrainian, using the "official name" property (wdt:P1448) and filtering for the exact string "Коломия (uk)".

[Tool] Got no rows and 1 columns

[Assistant]
It appears that there are no items with the exact value "Коломия (uk)" as the official name. However, it's possible that the language is stored as a qualifier rather than in the literal string, or that the value is just "Коломия" with a language tag.

I will check how the "official name" property is structured for the city of Kolomyia, which is likely the relevant entity. I'll search for "Kolomyia" to find its Wikidata entity.

[Tool]
Top 10 entity alternatives:
1. Kolomyia, also known as Kolimia, Kolomyya, Kołomyja, Kolomyja, Kolomey (wd:Q52193): city of Ukraine
2. Kolomyia (wd:Q20077869): railway station
3. Kolomyia Raion (wd:Q103821076): raion in Ivano-Frankivsk Oblast, Ukraine (established in 2020)
4. Kolomyia Raion (wd:Q1035599): former raion of Ukraine (1940-2020)
5. Kolomyiasilmash (wd:Q16702142)
6. Kolomyia Park (wd:Q47003424): park-monument of landscape art in Ivano-Frankivsk Oblast, Ukraine
7. FC Karpaty Kolomyia (wd:Q11736512)
8. Kolomyia (air base) (wd:Q30956896): military airfield located in Kolomyia, Ukraine
9. FC Pokuttia Kolomyia (wd:Q4369496)
10. Kolomyia urban territorial hromada, also known as Kolomyia territorial hromada, Kolomyia urban territorial hromada (wd:Q58844939): Territorial hromada in Ivano-Frankivsk Oblast, Ukraine

[Tool]
Got 496 rows and 3 columns, showing the first 10 rows below:
| subject              | property                                                    | object                                                                                |
| -------------------- | ----------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Kolomyia (wd:Q52193) | instance of (wdt:P31)                                       | human settlement (wd:Q486972)                                                                                |
| Kolomyia (wd:Q52193) | country (wdt:P17)                                           | Ukraine (wd:Q212)                                                                                |
| Kolomyia (wd:Q52193) | located in the administrative territorial entity (wdt:P131) | Kolomyia urban territorial hromada (wd:Q58844939)                                                                                |
| Kolomyia (wd:Q52193) | coordinate location (wdt:P625)                              | POINT(25.033333 48.516667) (geo:wktLiteral)                                                                                |
| Kolomyia (wd:Q52193) | Commons category (wdt:P373)                                 | Kolomyia                                                                                |
| Kolomyia (wd:Q52193) | image (wdt:P18)                                             | <http://commons.wikimedia.org/wiki/Special:FilePath/%D0%9A%D0%BE%D0%BB%D0%BE%D0%BC%D0%B8%D1%8F%20-%20%D0%B2%D1%83%D0%BB.%20%D0%A1%D1%82%D0%B0%D1%80%D0%B0%20%D0%B4%D0%BE%D1%80%D0%BE%D0%B3%D0%B0%2C%201-1.jpg> |
| Kolomyia (wd:Q52193) | population (wdt:P1082)                                      | 60821 (xsd:decimal)                                                                                |
| Kolomyia (wd:Q52193) | inception (wdt:P571)                                        | 1300-01-01T00:00:00Z (xsd:dateTime)                                                                                |
| Kolomyia (wd:Q52193) | described by source (wdt:P1343)                             | Encyclopædia Britannica 11th edition (wd:Q867541)                                                                                |
| Kolomyia (wd:Q52193) | official name (wdt:P1448)                                   | Коломия (uk)                                                                                |
| ...                  | ...                                                         | ...                                                                                |

[Assistant]
For Kolomyia (wd:Q52193), the "official name" property value is "Коломия (uk)". However, my previous query didn't return results, possibly due to a mismatch in how the string is stored (with or without the language tag, or as a plain string).

To be thorough, I will now search for all items with the official name "Коломия" (regardless of language tag or qualifiers), and then filter for those where the language is Ukrainian, either in the string or as a language tag.

[Tool]
Got 1 row and 2 columns:
| item                 | name         |
| -------------------- | ------------ |
| Kolomyia (wd:Q52193) | Коломия (uk) |

[Assistant]
The only item with the official name "Коломия" is Kolomyia (wd:Q52193), and the value is stored as "Коломия (uk)", indicating the Ukrainian language.

Here is the final SPARQL query that finds all items with the official name "Коломия" in Ukrainian:

```sparql
SELECT ?item WHERE {
  ?item wdt:P1448 "Коломия (uk)".
}
```

The answer is: Kolomyia (wd:Q52193).

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The query is incorrect because it searches for the literal string 'Коломия (uk)', which is not the correct way to match the official name in Ukrainian. The correct approach is to search for the official name 'Коломия' with the language tag '@uk'. The query should use the triple: ?item wdt:P1448 ?name. FILTER(?name = "Коломия"@uk). Please revise the query accordingly.

[Assistant]
Thank you for your feedback. You are correct: the proper way to match a label in a specific language is to use a language-tagged string, not a literal with the language code in parentheses.

I will revise the SPARQL query to search for items with the official name "Коломия" in Ukrainian, using the language tag "@uk":

```sparql
SELECT ?item WHERE {
  ?item wdt:P1448 ?name.
  FILTER(?name = "Коломия"@uk)
}
```

I will now provide this as the final answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves all items that have the official name 'Коломия' in Ukrainian by filtering for the property wdt:P1448 with the specified language tag. The result includes the actual identifier (IRI) as required. The answer is accurate and complete for the user's question.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?secondParent WHERE {
  wd:Q1318441 wdt:P749 ?firstParent .
  ?firstParent wdt:P749 ?secondParent .
}

The second-level parent organization of AdMob is Alphabet Inc. (wd:Q20800404).

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

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

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] What is the second-level parent organization of AdMob, the mobile advertising company?

[Assistant]
Let's break down the question:

1. We need to identify the entity for "AdMob" in Wikidata.
2. We need to find its parent organization (first-level parent).
3. Then, we need to find the parent organization of that parent (second-level parent).
4. We should return the IRI of the second-level parent organization, and optionally its label.

Let's start by searching for the entity "AdMob" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. AdMob (wd:Q1318441): mobile advertising company

[Assistant]
The entity for AdMob in Wikidata is wd:Q1318441.

Next, we need to find the property for "parent organization" to get AdMob's parent, and then use it again to get the second-level parent. Let's search for the property "parent organization" in Wikidata.

[Tool]
Top 10 property alternatives:
1. parent organization, also known as parent company, parent institution, parent organisation, parent unit, part of (wd:P749 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): parent organization of an organization, opposite of subsidiaries (P355), owned by, part of
2. has subsidiary, also known as subordinate body, subsidiary body, subordinate unit, subsidiary, subsidiary company (wd:P355 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): subsidiary of a company or organization; generally a fully owned...siness division" (P199). Opposite of parent organization (P749)., has part(s), owner of
3. parent club, also known as affiliate of, major league affiliate, parent team (wd:P831 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): parent club of this team
4. child, also known as has son, kids, mother of, kid, issue (wd:P40 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): subject has object as child. Do not use for stepchildren—use "relative" (P1038), qualified with "type of kinship" (P1039), significant person, relative
5. parent, also known as guardian, parents (wd:P8810 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): parent of the subject. Only use if neither father (P22) nor mother (P25) nor stepparent (P3448) is applicable., relative
6. mother, also known as mom, is child of, mommy, mum, mummy (wd:P25 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): female parent of the subject. For stepmother, use "stepparent" (P3448), parent
7. father, also known as son of, child of, parent, is son of, is daughter of (wd:P22 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): male parent of the subject. For stepfather, use "stepparent" (P3448), parent
8. organization directed by the office or position, also known as leader of, head of, leads, organization directed by, organization directed from the office (wd:P2389 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): organization which is directed by this office
9. parent astronomical body, also known as star, primary, parent body, orbits, planetary system (wd:P397 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): major astronomical body the item belongs to
10. employer, also known as working at, working for, working place, works at, works for (wd:P108 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): person or organization for which the subject works or worked, affiliation

[Assistant]
The property for "parent organization" is wd:P749.

Now, let's construct a SPARQL query to:
- Get AdMob's parent organization (first-level parent) using wdt:P749.
- Then, get the parent organization of that parent (second-level parent) using wdt:P749 again.
- Return the IRI of the second-level parent and optionally its label.

Let's write and execute this query.

[Tool]
Got 1 row and 2 columns:
| secondParent                 | secondParentLabel  |
| ---------------------------- | ------------------ |
| Alphabet Inc. (wd:Q20800404) | Alphabet Inc. (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly finds the second-level parent organization of AdMob by following two consecutive parent organization (wdt:P749) relationships. The result matches the expected answer, and the query returns the IRI as required. No further refinement is necessary.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?occupation ?subclass WHERE {
  ?occupation wdt:P31 wd:Q66715801 .
  ?occupation wdt:P279 ?subclass .
}
LIMIT 200

Here are up to 200 distinct occupations related to the musical profession (as instances of wd:Q66715801) that have at least one subclass, along with their subclass IRIs. This approach optimizes for memory usage and focuses on musical professions with subclass relationships, as requested.

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

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

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] What are the distinct occupations related to the musical profession, along with their subclasses (if available)?

[Assistant]
Let's break down the question:

1. We need to find occupations related to the musical profession.
2. For each occupation, we want to get its subclasses (if available).
3. The result should be distinct occupations and their subclasses.

Step 1: Identify the entity for "occupation" and the property for "subclass of".
Step 2: Find the entity for "musical profession" or similar (e.g., "musician", "music-related occupation").
Step 3: Find all occupations that are related to music, then get their subclasses.

First, let's search for the entity representing "musical profession" or "music-related occupation".

[Tool]
Top 10 entity alternatives:
1. musical profession, also known as profession in music, music profession, musical occupation, music occupation (wd:Q66715801): musical vocation founded upon specialized musical training or mastery of an instrument
2. profession, also known as craft (wd:Q28640): occupation requiring specialized training
3. musical, also known as musical play, stage musical, musical theatre, musical theater, lyric drama (wd:Q2743): stage work that combines songs, music, spoken dialogue, acting, and dance
4. occupation, also known as work, profession, occupations, non-professional work activities, job (wd:Q12737077): label applied to a person based on an activity they participate in
5. Profession (wd:Q2907853): novella by Isaac Asimov
6. تأكيد, also known as asserting, stating, statement, profession, professing (wd:Q814441): act of explicitly stating one's belief in a fact or opinion
7. Association des professionnels de l’édition musicale (wd:Q65145766): association to promote culture in Quebec
8. MusicAL (wd:Q6941391): Albanian television channel
9. Everybody's Talking About Jamie, also known as musical (wd:Q126948616): stage musical
10. Profession (wd:Q100990415): scientific article published on 20 October 2020

[Assistant]
The most relevant entity for "musical profession" is wd:Q66715801 ("musical profession, also known as profession in music, music profession, musical occupation, music occupation").

Next, I need to find occupations that are related to this entity. In Wikidata, occupations are typically instances or subclasses of "occupation" (wd:Q12737077), and musical professions may be subclasses or instances of "musical profession" (wd:Q66715801).

I will now search for subclasses and instances of "musical profession" to identify relevant occupations.

[Tool]
Got 2 rows and 3 columns:
| subject                  | property               | object                            |
| ------------------------ | ---------------------- | --------------------------------- |
| Klesmer (wd:Q1479168)    | subclass of (wdt:P279) | musical profession (wd:Q66715801) |
| animateur (wd:Q25535862) | subclass of (wdt:P279) | musical profession (wd:Q66715801) |

[Tool]
Got 332 rows and 3 columns, showing the first 10 rows below:
| subject                        | property              | object                            |
| ------------------------------ | --------------------- | --------------------------------- |
| composer (wd:Q36834)           | instance of (wdt:P31) | musical profession (wd:Q66715801) |
| singer (wd:Q177220)            | instance of (wdt:P31) | musical profession (wd:Q66715801) |
| musician (wd:Q639669)          | instance of (wdt:P31) | musical profession (wd:Q66715801) |
| disc jockey (wd:Q130857)       | instance of (wdt:P31) | musical profession (wd:Q66715801) |
| record producer (wd:Q183945)   | instance of (wdt:P31) | musical profession (wd:Q66715801) |
| conductor (wd:Q158852)         | instance of (wdt:P31) | musical profession (wd:Q66715801) |
| pianist (wd:Q486748)           | instance of (wdt:P31) | musical profession (wd:Q66715801) |
| singer-songwriter (wd:Q488205) | instance of (wdt:P31) | musical profession (wd:Q66715801) |
| songwriter (wd:Q753110)        | instance of (wdt:P31) | musical profession (wd:Q66715801) |
| lyricist (wd:Q822146)          | instance of (wdt:P31) | musical profession (wd:Q66715801) |
| ...                            | ...                   | ...                               |

[Tool]
Top 10 property alternatives:
1. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
2. narrower external class, also known as external subclass (wd:P3950 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): more specific subclass included in other ontology but not in Wikidata
3. school class, also known as class, cohort, grade, school cohort, stage (wd:P7174 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): (qualifier) class of a given year/time period to which the person belonged in an educational institution
4. class, also known as type (wd:P2308 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): qualifier to define a property constraint in combination with "property constraint" (P2302)
5. is metaclass for, also known as instances are a subclass of, instances are subclasses of, instances are subclass of, is a metaclass for, is a metaclass of (wd:P8225 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): all instances of the subject are subclasses of the object
6. subproperty of, also known as subclass of property, superproperty, subPropertyOf, rdfs:subPropertyOf, parent property (wd:P1647 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): all resources related by this property are also related by that property, related property
7. equivalent in higher rank taxon, also known as term in larger group, closest concept in higher taxon, term in higher taxon, term in higher-order taxon, subclass of higher-taxon concept (wd:P10019 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): an equivalent class that is species-neutral or scoped to higher ranking taxa, subclass of
8. has part(s) of the class, also known as has part of class, nwere akụkụ(s) na-akpụ subclass nke, part of class, nwere akụkụ nke klaasị, part of the class (wd:P2670 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): the subject has one or more parts of the object class, has part(s)
9. part of, also known as of, within, system of, subsystem of, subgroup of (wd:P361 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): object of which the subject is a part (if this subject is alread... of "has part" (P527, see also "has parts of the class" (P2670))
10. metasubclass of, also known as metaclass of (wd:P2445 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): relation between two metaclasses: instances of this metaclass ar...subclasses of classes that are instances of the target metaclass

[Tool]
Got 2 rows and 3 columns:
| subject              | property               | object                |
| -------------------- | ---------------------- | --------------------- |
| composer (wd:Q36834) | subclass of (wdt:P279) | musician (wd:Q639669) |
| composer (wd:Q36834) | subclass of (wdt:P279) | author (wd:Q482980)   |

[Tool]
Got 3 rows and 3 columns:
| subject             | property               | object                                         |
| ------------------- | ---------------------- | ---------------------------------------------- |
| singer (wd:Q177220) | subclass of (wdt:P279) | musician (wd:Q639669)                          |
| singer (wd:Q177220) | subclass of (wdt:P279) | vocalist (wd:Q2643890)                         |
| singer (wd:Q177220) | subclass of (wdt:P279) | creative and performing artist (wd:Q108289408) |

[Tool]
Got 1 row and 3 columns:
| subject               | property               | object              |
| --------------------- | ---------------------- | ------------------- |
| musician (wd:Q639669) | subclass of (wdt:P279) | artist (wd:Q483501) |

[Tool]
Got 1 row and 3 columns:
| subject                  | property               | object                |
| ------------------------ | ---------------------- | --------------------- |
| disc jockey (wd:Q130857) | subclass of (wdt:P279) | musician (wd:Q639669) |

[Tool]
Got 2 rows and 3 columns:
| subject                      | property               | object                  |
| ---------------------------- | ---------------------- | ----------------------- |
| record producer (wd:Q183945) | subclass of (wdt:P279) | musician (wd:Q639669)   |
| record producer (wd:Q183945) | subclass of (wdt:P279) | producer (wd:Q47541952) |

[Tool]
Got 3 rows and 3 columns:
| subject                | property               | object                         |
| ---------------------- | ---------------------- | ------------------------------ |
| conductor (wd:Q158852) | subclass of (wdt:P279) | musician (wd:Q639669)          |
| conductor (wd:Q158852) | subclass of (wdt:P279) | music director (wd:Q1198887)   |
| conductor (wd:Q158852) | subclass of (wdt:P279) | performing artist (wd:Q713200) |

[Tool]
Got 1 row and 3 columns:
| subject              | property               | object                    |
| -------------------- | ---------------------- | ------------------------- |
| pianist (wd:Q486748) | subclass of (wdt:P279) | keyboardist (wd:Q1075651) |

[Tool]
Got 2 rows and 3 columns:
| subject                        | property               | object                  |
| ------------------------------ | ---------------------- | ----------------------- |
| singer-songwriter (wd:Q488205) | subclass of (wdt:P279) | singer (wd:Q177220)     |
| singer-songwriter (wd:Q488205) | subclass of (wdt:P279) | songwriter (wd:Q753110) |

[Tool]
Got 2 rows and 3 columns:
| subject                 | property               | object               |
| ----------------------- | ---------------------- | -------------------- |
| songwriter (wd:Q753110) | subclass of (wdt:P279) | composer (wd:Q36834) |
| songwriter (wd:Q753110) | subclass of (wdt:P279) | author (wd:Q482980)  |

[Tool]
Got 1 row and 3 columns:
| subject               | property               | object             |
| --------------------- | ---------------------- | ------------------ |
| lyricist (wd:Q822146) | subclass of (wdt:P279) | writer (wd:Q36180) |

[Tool]
Got 1 row and 3 columns:
| subject               | property               | object                            |
| --------------------- | ---------------------- | --------------------------------- |
| Klesmer (wd:Q1479168) | subclass of (wdt:P279) | musical profession (wd:Q66715801) |

[Tool]
Got 1 row and 3 columns:
| subject                  | property               | object                            |
| ------------------------ | ---------------------- | --------------------------------- |
| animateur (wd:Q25535862) | subclass of (wdt:P279) | musical profession (wd:Q66715801) |

[Tool]
SPARQL execution failed:
Tried to allocate 6.6 GB, but only 5.4 GB were available. Clear the cache or allow more memory for QLever during startup

[Assistant]
The query to retrieve all musical professions and their subclasses is too large for the endpoint to handle in one go. To work around this, I will limit the number of results and focus on returning a sample of distinct occupations related to the musical profession, along with their subclasses if available.

I will add a LIMIT clause to the query to avoid memory issues and still provide a representative answer.

[Tool]
SPARQL execution failed:
Tried to allocate 6.6 GB, but only 5.5 GB were available. Clear the cache or allow more memory for QLever during startup

[Assistant] Even with a LIMIT clause, the query is still too large for the endpoint to process. To reduce the load further, I will only select the IRIs (identifiers) of the occupations and their subclasses, omitting the labels. This will minimize the data returned and should allow the query to execute successfully.

[Tool]
Got 50 rows and 2 columns, showing the first 5 and last 5 rows below:
| occupation                                 | subclass                      |
| ------------------------------------------ | ----------------------------- |
| tango singer (wd:Q100269042)               | singer (wd:Q177220)           |
| hip-hop musician (wd:Q100493654)           | musician (wd:Q639669)         |
| flûte à trois trous player (wd:Q100539888) | instrumentalist (wd:Q1278335) |
| wd:Q100707292                              | lutenist (wd:Q21166956)       |
| wd:Q100707292                              | harpist (wd:Q3127709)         |
| ...                                        | ...                           |
| saxophone teacher (wd:Q102036457)          | saxophonist (wd:Q12800682)    |
| saxophone teacher (wd:Q102036457)          | music teacher (wd:Q2675537)   |
| music archivist (wd:Q102104631)            | musicologist (wd:Q14915627)   |
| music archivist (wd:Q102104631)            | archivist (wd:Q635734)        |
| gospel singer (wd:Q102276804)              | singer (wd:Q177220)           |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The query is on the right track by retrieving occupations that are instances of 'musical profession' and their subclasses. However, there are a few refinements needed:

1. The query should return the IRIs (identifiers) of the occupations and subclasses, not just their labels. Currently, the sample answer only shows labels, but the query does return the IRIs, so this is acceptable as long as the IRIs are included in the actual output.
2. The query uses a LIMIT 50, which may arbitrarily cut off results. For completeness, consider removing the LIMIT or increasing it significantly, unless the user specifically requested a sample.
3. The query could be improved by also retrieving the labels for occupations and subclasses (using OPTIONAL clauses with rdfs:label) to make the output more user-friendly, but this is optional unless requested.

Overall, the query is sensible but could be refined for completeness and clarity.

[Assistant]
Thank you for the feedback. Here’s how I’ll refine the approach:

1. The query already returns IRIs for both occupations and subclasses, which is correct.
2. To avoid arbitrary cutoffs, I will remove the LIMIT clause, allowing for a complete result set.
3. For user-friendliness, I will add OPTIONAL clauses to retrieve English labels for both occupations and subclasses, but these will remain optional in the output.

Here is the improved SPARQL query:

```sparql
SELECT DISTINCT ?occupation ?occupationLabel ?subclass ?subclassLabel WHERE {
  ?occupation wdt:P31 wd:Q66715801 .
  OPTIONAL { ?occupation wdt:P279 ?subclass . }
  OPTIONAL { ?occupation rdfs:label ?occupationLabel FILTER (LANG(?occupationLabel) = "en") }
  OPTIONAL { ?subclass rdfs:label ?subclassLabel FILTER (LANG(?subclassLabel) = "en") }
}
```

This query will return all distinct occupations related to the musical profession (as instances of wd:Q66715801), their subclasses (if available), and English labels for both, making the output both comprehensive and user-friendly.

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The SPARQL query is conceptually correct for the question, but it failed due to resource constraints (memory allocation error). To address this, the query should be optimized to reduce memory usage. Suggestions include:
- Removing unnecessary OPTIONAL clauses if labels are not strictly needed for the answer.
- Using LIMIT to restrict the number of results for initial exploration.
- Considering splitting the query into two steps: first retrieving occupations, then fetching subclasses for a subset.
- Alternatively, filter out items with no subclasses to reduce result size.
Please retry with an optimized query to avoid memory issues.

[Assistant]
Thank you for the suggestions. To optimize for memory usage and ensure the query executes successfully, I will:

- Remove the OPTIONAL label clauses (since IRIs are required, not labels).
- Add a LIMIT to restrict the number of results for initial exploration.
- Focus on returning only occupations that have at least one subclass, which reduces the result set and directly addresses the question's interest in subclass relationships.

Here is the optimized query:

```sparql
SELECT DISTINCT ?occupation ?subclass WHERE {
  ?occupation wdt:P31 wd:Q66715801 .
  ?occupation wdt:P279 ?subclass .
} LIMIT 200
```

This will return up to 200 distinct musical professions (as instances of wd:Q66715801) that have at least one subclass, along with their subclass IRIs.

Let's proceed with this optimized query.

[Tool]
Got 200 rows and 2 columns, showing the first 5 and last 5 rows below:
| occupation                                 | subclass                       |
| ------------------------------------------ | ------------------------------ |
| tango singer (wd:Q100269042)               | singer (wd:Q177220)            |
| hip-hop musician (wd:Q100493654)           | musician (wd:Q639669)          |
| flûte à trois trous player (wd:Q100539888) | instrumentalist (wd:Q1278335)  |
| wd:Q100707292                              | lutenist (wd:Q21166956)        |
| wd:Q100707292                              | harpist (wd:Q3127709)          |
| ...                                        | ...                            |
| tar player (wd:Q12846426)                  | instrumentalist (wd:Q1278335)  |
| sazanda (wd:Q12868609)                     | instrumentalist (wd:Q1278335)  |
| sazanda (wd:Q12868609)                     | musical ensemble (wd:Q2088357) |
| sazanda (wd:Q12868609)                     | musical trio (wd:Q281643)      |
| flautist (wd:Q12902372)                    | instrumentalist (wd:Q1278335)  |

[Tool] Stopped generation process