PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?item ?itemLabel ?instanceOf ?instanceOfLabel WHERE {
  ?item wdt:P830 ?eolid .
  OPTIONAL {
    ?item rdfs:label ?itemLabel FILTER ( LANG( ?itemLabel ) = "en" )
  }
  OPTIONAL {
    ?item wdt:P31 ?instanceOf .
    OPTIONAL {
      ?instanceOf rdfs:label ?instanceOfLabel FILTER ( LANG( ?instanceOfLabel ) = "en" )
    }
  }
  FILTER NOT EXISTS {
    ?item wdt:P31 wd:Q16521
  }
  FILTER NOT EXISTS {
    ?item wdt:P279 * wd:Q16521
  }
  FILTER NOT EXISTS {
    ?item wdt:P31 ?type .
    ?type wdt:P279 * wd:Q16521
  }
}

Got 357 rows and 4 columns, showing the first 5 and last 5 rows below:
| item                                                    | itemLabel                                     | instanceOf                       | instanceOfLabel        |
| ------------------------------------------------------- | --------------------------------------------- | -------------------------------- | ---------------------- |
| Copriodes Turner (1916) non Gistl (1857) (wd:Q10260412) | Copriodes Turner (1916) non Gistl (1857) (en) | later homonym (wd:Q17276484)     | later homonym (en)     |
| Copriodes Turner (1916) non Gistl (1857) (wd:Q10260412) | Copriodes Turner (1916) non Gistl (1857) (en) | Oecophoridae (wd:Q782541)        | Oecophoridae (en)      |
| Notaspis Warren (1892) (wd:Q10337670)                   | Notaspis Warren (1892) (en)                   | Crambidae (wd:Q132980)           | Crambidae (en)         |
| Notaspis Warren (1892) (wd:Q10337670)                   | Notaspis Warren (1892) (en)                   | later homonym (wd:Q17276484)     | later homonym (en)     |
| Catenella Bat. & Peres (1963) (wd:Q10443855)            | Catenella Bat. & Peres (1963) (en)            | later homonym (wd:Q17276484)     | later homonym (en)     |
| ...                                                     | ...                                           | ...                              | ...                    |
| Lesiandra Meyrick, 1914 (wd:Q5506942)                   | Lesiandra Meyrick, 1914 (en)                  | homotypic synonym (wd:Q42310380) | homotypic synonym (en) |
| Grammatophora [Stephens, 1829] (wd:Q5593699)            | Grammatophora [Stephens, 1829] (en)           | designation (wd:Q18575734)       | designation (en)       |
| Grammatophora [Stephens, 1829] (wd:Q5593699)            | Grammatophora [Stephens, 1829] (en)           | Geometridae (wd:Q45559)          | Geometridae (en)       |
| 'Dermatetron' (wd:Q6536221)                             | 'Dermatetron' (en)                            | wd:Q1984758                      | misspelling (en)       |
| waterfowl (wd:Q82592)                                   | waterfowl (en)                                |                                  |                        |

This query returns all distinct items with an Encyclopedia of Life ID that are not taxons or subclasses of taxons, including their labels and the labels of what they are instances of.

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

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

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

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

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

[User] What are the distinct items that have an Encyclopedia of Life ID, but are not taxons or subclasses of taxons? Include item labels and labels of what the items are instances of.

[Assistant]
Let's break down the question:

1. We need to find items that have an Encyclopedia of Life ID.
2. These items should NOT be taxons nor subclasses of taxons.
3. For each item, we want:
   - The item IRI.
   - The item label.
   - The IRI and label of what the item is an instance of.

Step 1: Find the property for "Encyclopedia of Life ID".
Step 2: Find the entity for "taxon".
Step 3: Find the property for "subclass of".
Step 4: Construct a query that:
   - Selects items with an Encyclopedia of Life ID.
   - Excludes items that are taxons or subclasses of taxons.
   - Gets their instance-ofs and labels.

Let's proceed step by step.

First, search for the property "Encyclopedia of Life ID".

[Tool]
Top 10 property alternatives:
1. Encyclopedia of Life ID, also known as eol, EoL ID (wd:P830 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): eol.org item reference number
2. Catalogue of Life ID, also known as CoL ID (wd:P10585 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): identifier of a taxon or synonym in the Catalogue of Life
3. Encyclopedia.com ID (wd:P11850 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): identifier of item within Encyclopedia.com
4. A Dictionary of Biology ID, also known as Dictionary of Biology ID (wd:P12774 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): identifier for an entry in online eighth edition of A Dictionary of Biology
5. A Dictionary of Zoology ID, also known as Dictionary of Zoology ID (wd:P12789 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): identifier for an entry in online fifth edition of A Dictionary of Zoology
6. South Carolina Encyclopedia ID, also known as SCencyclopedia ID, SC Encyclopedia ID (wd:P7690 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): identifier for an entry on the South Carolina Encyclopedia website
7. Encyclopædia Britannica Online ID, also known as Encyclopaedia Britannica Online ID, Encyclopedia Britannica Online ID, EBID, EB ID, Britannica online ID (wd:P1417 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): identifier for an article in the online version of Encyclopædia Britannica
8. World History Encyclopedia ID, also known as Ancient History Encyclopedia ID (wd:P9000 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): alphabetical identifier for an article in the World History Encyclopedia (former Ancient History Encyclopedia)
9. Encyclopedia of Ideas ID, also known as EI id (wd:P10717 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): Hebrew-language encyclopedia describing philosophical ideas in daily life
10. Literary Encyclopedia ID (wd:P9001 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): identifier in Soviet Literary Encyclopedia (1929-1939)

[Assistant]
The property for "Encyclopedia of Life ID" is `wdt:P830`.

Next, let's find the entity for "taxon".

[Tool]
Top 10 entity alternatives:
1. taxon, also known as taxa, taxonomic unit (wd:Q16521): group of one or more organism(s), which a taxonomist adjudges to be a unit
2. Taxon, also known as Taxon. The Journal of the Intern...l Association for Plant Taxonomy (wd:Q2003024): academic journal
3. TaxOn, also known as ISSN 2079-1380 (wd:Q21386141): scientific journal
4. ¡Taxon! (wd:Q96184500): scientific article published in 1993
5. taxon (wd:L20987)
6. taxon (wd:L20987-F1)
7. taxon (wd:L34573-S1)
8. taxon (wd:L745006-S3)
9. biological classification, also known as biological and zoological classification, classification of organisms, scientific classification, taxonomic classification, taxonomy (wd:Q11398): method of scientific taxonomy
10. extinction, also known as dying out, taxon extinction, species extinctions, species extinction, going extinct (wd:Q123509): termination of a taxon by the death of its last member

[Assistant]
The entity for "taxon" (the biological group) is `wd:Q16521`.

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

[Tool]
Top 10 property alternatives:
1. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): more specific subclass included in other ontology but not in Wikidata
6. metasubclass of, also known as metaclass of (wd:P2445 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): series which contains the subject, part of

[Assistant]
The property for "subclass of" is `wdt:P279`.

Now, let's clarify the exclusion:
We want items that are NOT:
- Directly a taxon (i.e., instance of taxon)
- Subclasses of taxon (i.e., subclass of taxon, or subclass of something that is a subclass of taxon, recursively)

We also want, for each item:
- The item IRI
- The item label
- The IRI and label of what the item is an instance of

Let's check if "instance of" is `wdt:P31` (which is standard in Wikidata). To be sure, let's search for "instance of".

[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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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

[Assistant]
"Instance of" is indeed `wdt:P31`.

Now, let's plan the query:
- Select items with `wdt:P830` (Encyclopedia of Life ID).
- Exclude items that are instances of `wd:Q16521` (taxon).
- Exclude items that are subclasses (directly or indirectly) of `wd:Q16521`.
- For each item, get its label, and its instance-ofs and their labels.

To exclude subclasses recursively, we can use the property path `wdt:P279* wd:Q16521`.

Let's write the query step by step.

First, let's try a basic query to get items with an Encyclopedia of Life ID, their instance-ofs, and filter out direct taxons and subclasses of taxon.

[Tool]
Got 100 rows and 4 columns, showing the first 5 and last 5 rows below:
| item                                       | itemLabel                        | instanceOf                   | instanceOfLabel      |
| ------------------------------------------ | -------------------------------- | ---------------------------- | -------------------- |
| Cynodictis (wd:Q1000261)                   | Cynodictis (en)                  | fossil taxon (wd:Q23038290)  | fossil taxon (en)    |
| Archaeopteryx (wd:Q100196)                 | Archaeopteryx (en)               | fossil taxon (wd:Q23038290)  | fossil taxon (en)    |
| Asteronyx simplex (wd:Q100230498)          | Asteronyx simplex (en)           | fossil taxon (wd:Q23038290)  | fossil taxon (en)    |
| Asteronyx spinulosa (wd:Q100230786)        | Asteronyx spinulosa (en)         | fossil taxon (wd:Q23038290)  | fossil taxon (en)    |
| Proconsul major (wd:Q1002382)              | Proconsul major (en)             | fossil taxon (wd:Q23038290)  | fossil taxon (en)    |
| ...                                        | ...                              | ...                          | ...                  |
| Mesophyllum koritzae (wd:Q10328941)        | Mesophyllum koritzae (en)        | fossil taxon (wd:Q23038290)  | fossil taxon (en)    |
| Mesophyllum sancti-dionysii (wd:Q10328954) | Mesophyllum sancti-dionysii (en) | fossil taxon (wd:Q23038290)  | fossil taxon (en)    |
| Mesophyllum schenckii (wd:Q10328955)       | Mesophyllum schenckii (en)       | fossil taxon (wd:Q23038290)  | fossil taxon (en)    |
| Murrayonidae (wd:Q10333340)                | Murrayonidae (en)                | monotypic taxon (wd:Q310890) | monotypic taxon (en) |
| Viroqua (wd:Q1033432)                      | Viroqua (en)                     | monotypic taxon (wd:Q310890) | monotypic taxon (en) |

[Assistant]
The query is returning items that are "fossil taxon" or "monotypic taxon" as their instance-ofs. These are still types of taxons, so we need to further exclude items that are instances of subclasses of "taxon" (i.e., anything that is a subclass of taxon, directly or indirectly).

To do this, we should exclude items where their instance-of (`wdt:P31`) is `wd:Q16521` or any subclass thereof (`wdt:P279* wd:Q16521`).

Let's refine the query to add this exclusion.

[Tool]
Got 100 rows and 4 columns, showing the first 5 and last 5 rows below:
| item                                                    | itemLabel                                     | instanceOf                                              | instanceOfLabel                               |
| ------------------------------------------------------- | --------------------------------------------- | ------------------------------------------------------- | --------------------------------------------- |
| Copriodes Turner (1916) non Gistl (1857) (wd:Q10260412) | Copriodes Turner (1916) non Gistl (1857) (en) | later homonym (wd:Q17276484)                            | later homonym (en)                            |
| Copriodes Turner (1916) non Gistl (1857) (wd:Q10260412) | Copriodes Turner (1916) non Gistl (1857) (en) | Oecophoridae (wd:Q782541)                               | Oecophoridae (en)                             |
| Notaspis Warren (1892) (wd:Q10337670)                   | Notaspis Warren (1892) (en)                   | Crambidae (wd:Q132980)                                  | Crambidae (en)                                |
| Notaspis Warren (1892) (wd:Q10337670)                   | Notaspis Warren (1892) (en)                   | later homonym (wd:Q17276484)                            | later homonym (en)                            |
| Catenella Bat. & Peres (1963) (wd:Q10443855)            | Catenella Bat. & Peres (1963) (en)            | later homonym (wd:Q17276484)                            | later homonym (en)                            |
| ...                                                     | ...                                           | ...                                                     | ...                                           |
| Copriodes perinephela (wd:Q13496844)                    | Copriodes perinephela (en)                    | unavailable combination (wd:Q17487588)                  | unavailable combination (en)                  |
| Copriodes polynephela (wd:Q13496845)                    | Copriodes polynephela (en)                    | Copriodes Turner (1916) non Gistl (1857) (wd:Q10260412) | Copriodes Turner (1916) non Gistl (1857) (en) |
| Copriodes polynephela (wd:Q13496845)                    | Copriodes polynephela (en)                    | unavailable combination (wd:Q17487588)                  | unavailable combination (en)                  |
| Doclea syntomoides (wd:Q13592892)                       | Doclea syntomoides (en)                       | unavailable combination (wd:Q17487588)                  | unavailable combination (en)                  |
| Doclea syntomoides (wd:Q13592892)                       | Doclea syntomoides (en)                       | Doclea Walker (1865) non Leach (1815) (wd:Q18522853)    | Doclea Walker (1865) non Leach (1815) (en)    |

[Assistant]
Now the results include items with an Encyclopedia of Life ID that are not taxons, nor subclasses of taxons, nor instances of subclasses of taxons. For each item, the query provides:
- The item IRI
- The item label
- The IRI and label of what the item is an instance of

Here is the final SPARQL query that answers your question:

```sparql
SELECT DISTINCT ?item ?itemLabel ?instanceOf ?instanceOfLabel WHERE {
  ?item wdt:P830 ?eolid .
  OPTIONAL { ?item rdfs:label ?itemLabel FILTER (LANG(?itemLabel) = "en") }
  OPTIONAL { ?item wdt:P31 ?instanceOf .
             OPTIONAL { ?instanceOf rdfs:label ?instanceOfLabel FILTER (LANG(?instanceOfLabel) = "en") } }
  FILTER NOT EXISTS { ?item wdt:P31 wd:Q16521 }
  FILTER NOT EXISTS { ?item wdt:P279* wd:Q16521 }
  FILTER NOT EXISTS { ?item wdt:P31 ?type . ?type wdt:P279* wd:Q16521 }
}
```

This query will give you all distinct items with an Encyclopedia of Life ID that are not taxons or subclasses of taxons, along with their labels and the labels of what they are instances of.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?award ( COUNT( * ) AS ?count ) ( SAMPLE( ?awardLabel ) AS ?label ) WHERE {
  ?person wdt:P9044 ?geprisID ; wdt:P166 ?award .
  ?award ( wdt:P31 | wdt:P279 ) * ?type .
  VALUES ?type {
    wd:Q618779 wd:Q5257307 wd:Q11448906 wd:Q15383322 wd:Q107471279 wd:Q378427 wd:Q107494520 wd:Q1966910 wd:Q1709894
  }
  OPTIONAL {
    ?award rdfs:label ?awardLabel FILTER ( LANG( ?awardLabel ) = "en" )
  }
}
GROUP BY ?award
ORDER BY DESC ( ?count )

Got 840 rows and 3 columns, showing the first 5 and last 5 rows below:
| award                                                                              | count         | label                                                                    |
| ---------------------------------------------------------------------------------- | ------------- | ------------------------------------------------------------------------ |
| Commander's Cross of the Order o... the Federal Republic of Germany (wd:Q10905276) | 341 (xsd:int) | Commander's Cross of the Order o... the Federal Republic of Germany (en) |
| Goethe Medal for Art and Science (wd:Q1396769)                                     | 324 (xsd:int) | Goethe Medal for Art and Science (en)                                    |
| Pour le Mérite for Sciences and Arts order (wd:Q15056034)                          | 316 (xsd:int) | Pour le Mérite for Sciences and Arts order (en)                          |
| Bavarian Maximilian Order for Science and Art (wd:Q565030)                         | 164 (xsd:int) | Bavarian Maximilian Order for Science and Art (en)                       |
| Hervorragender Wissenschaftler des Volkes (wd:Q1614821)                            | 156 (xsd:int) | Hervorragender Wissenschaftler des Volkes (en)                           |
| ...                                                                                | ...           | ...                                                                      |
| Commander of the Order of the Phoenix (wd:Q21587153)                               | 1 (xsd:int)   | Commander of the Order of the Phoenix (en)                               |
| Commander of the Order of the Redeemer (wd:Q21450566)                              | 1 (xsd:int)   | Commander of the Order of the Redeemer (en)                              |
| emeritus (wd:Q211830)                                                              | 1 (xsd:int)   | emeritus (en)                                                            |
| Catalonia International Prize (wd:Q211692)                                         | 1 (xsd:int)   | Catalonia International Prize (en)                                       |
| Luitpold Medal of Bavaria (wd:Q2110801)                                            | 1 (xsd:int)   | Luitpold Medal of Bavaria (en)                                           |

The query returns the different types of awards received by individuals listed in the GEPRIS Historisch database, filtered to include only general awards, science awards, cultural prizes, chemistry awards, literary awards, physics awards, national academies, and journalism prizes. For each award, the result includes the award IRI, its English label (if available), and the count of how many times it was received by individuals in the 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

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 are interested in awards received by individuals listed in the GEPRIS Historisch database.
2. We want the types of awards, their labels, and the count of each award.
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 GEPRIS Historisch database entity in Wikidata.
I'll search for "GEPRIS Historisch" in Wikidata to find the relevant entity.

Step 2: Find how individuals are linked to GEPRIS Historisch in Wikidata.
I'll look for properties that connect people to the GEPRIS Historisch database.

Step 3: Identify the property for awards received by individuals.
I'll search for the "award received" property.

Step 4: Identify the types of awards that match the requested categories.
I'll search for entities in Wikidata that represent these award types.

Step 5: Build a query to count the number of each award (with label) received by individuals listed in GEPRIS Historisch, filtered by the specified award types.

Let's proceed step by step.

First, search for "GEPRIS Historisch" in Wikidata.

[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 property that identifies a person in the GEPRIS Historisch database

So, individuals listed in GEPRIS Historisch are those with a GEPRIS Historisch person ID (P9044).

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

[Tool]
Top 10 property alternatives:
1. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): qualifier used with “nominated for” to specify which person or organization was nominated
10. awarded for period (wd:P4566 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): period during which the achievement must have been made to be eligible for an award

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

Now, I need to identify the types of awards that match the requested categories:
- general awards
- science awards
- cultural prizes
- chemistry awards
- literary awards
- physics awards
- national academies
- journalism prizes

I will search for entities in Wikidata that represent these award types, starting with "science award".

[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 have now identified the relevant award type entities in Wikidata:
- General award: wd:Q618779 (award), wd:Q5257307 (prize)
- Science award: wd:Q11448906
- Cultural prize: wd:Q15383322
- Chemistry award: wd:Q107471279
- Literary award: wd:Q378427
- Physics award: wd:Q107494520
- National academy: wd:Q1966910
- Journalism prize: wd:Q1709894

Now, I need to find how to filter awards by these types. In Wikidata, awards are often instances or subclasses of these types. So, I should include awards that are either instances of or subclasses of these types.

Next, I'll build a SPARQL query that:
- Finds people with a GEPRIS Historisch person ID (wdt:P9044)
- Gets their awards (wdt:P166)
- Filters awards to those that are instances of or subclasses of the above types
- Groups by award and counts occurrences
- Returns the award IRI, label, and count

I'll use OPTIONAL for labels.

Let's construct the query.

[Tool]
Got 840 rows and 3 columns, showing the first 5 and last 5 rows below:
| award                                                                              | count         | label                                                                    |
| ---------------------------------------------------------------------------------- | ------------- | ------------------------------------------------------------------------ |
| Commander's Cross of the Order o... the Federal Republic of Germany (wd:Q10905276) | 341 (xsd:int) | Commander's Cross of the Order o... the Federal Republic of Germany (en) |
| Goethe Medal for Art and Science (wd:Q1396769)                                     | 324 (xsd:int) | Goethe Medal for Art and Science (en)                                    |
| Pour le Mérite for Sciences and Arts order (wd:Q15056034)                          | 316 (xsd:int) | Pour le Mérite for Sciences and Arts order (en)                          |
| Bavarian Maximilian Order for Science and Art (wd:Q565030)                         | 164 (xsd:int) | Bavarian Maximilian Order for Science and Art (en)                       |
| Hervorragender Wissenschaftler des Volkes (wd:Q1614821)                            | 156 (xsd:int) | Hervorragender Wissenschaftler des Volkes (en)                           |
| ...                                                                                | ...           | ...                                                                      |
| Commander of the Order of the Phoenix (wd:Q21587153)                               | 1 (xsd:int)   | Commander of the Order of the Phoenix (en)                               |
| Commander of the Order of the Redeemer (wd:Q21450566)                              | 1 (xsd:int)   | Commander of the Order of the Redeemer (en)                              |
| emeritus (wd:Q211830)                                                              | 1 (xsd:int)   | emeritus (en)                                                            |
| Catalonia International Prize (wd:Q211692)                                         | 1 (xsd:int)   | Catalonia International Prize (en)                                       |
| Luitpold Medal of Bavaria (wd:Q2110801)                                            | 1 (xsd:int)   | Luitpold Medal of Bavaria (en)                                           |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?item ?label WHERE {
  ?item wdt:P1448 "Коломия" @uk .
  OPTIONAL {
    ?item rdfs:label ?label FILTER ( LANG( ?label ) = "en" )
  }
}

The item with the official name "Коломия" in Ukrainian is Kolomyia (wd:Q52193).

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

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

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

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

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

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

[Assistant]
First, I need to identify the property in Wikidata that represents the "official name". Then, I will look for items where this property has the value "Коломия" in Ukrainian.

Step 1: 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): the item which officialized this lexeme
4. short name, also known as short title, shortname, abbreviation, shortened name, initialism (wd:P1813 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): official symbol of an organisation
6. nickname, also known as informal name, moniker, other name, othername, other_names (wd:P1449 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): subject's official anthem
9. courtesy name, also known as courtesy name, style name, zi (wd:P1782 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name

[Assistant]
The property for "official name" in Wikidata is wd:P1448.

Next, I need to find items where the official name (wdt:P1448) is "Коломия" in Ukrainian. To ensure the language is Ukrainian, I should check the language tag of the literal value.

I will construct a SPARQL query to find all items with official name "Коломия"@uk.

[Tool]
Got 1 row and 1 column:
| item                 |
| -------------------- |
| Kolomyia (wd:Q52193) |

[Tool]
Got 1 row and 2 columns:
| item                 | label         |
| -------------------- | ------------- |
| Kolomyia (wd:Q52193) | Kolomyia (en) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?parent2 WHERE {
  wd:Q1318441 wdt:P749 ?parent1 .
  ?parent1 wdt:P749 ?parent2 .
}

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

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, 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 is wd:Q1318441. Next, we need to find the property for "parent organization" in Wikidata, so we can retrieve AdMob's parent and then its parent's parent.

I'll search for the property "parent organization".

[Tool]
Top 10 property alternatives:
1. parent organization, also known as parent company, parent institution, parent organisation, parent unit, part of (wd:P749 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): parent club of this team
4. child, also known as has son, kids, mother of, kid, issue (wd:P40 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): organization which is directed by this office
9. parent astronomical body, also known as star, primary, parent body, orbits, planetary system (wd:P397 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): person or organization for which the subject works or worked, affiliation

[Assistant]
The property "parent organization" is wd:P749. Now, let's find the first-level parent of AdMob using this property, and then the parent of that organization (second-level parent).

I'll write a SPARQL query to get the parent organization of AdMob, and then the parent organization of that parent.

[Tool]
Got 1 row and 2 columns:
| parent1         | parent2                      |
| --------------- | ---------------------------- |
| Google (wd:Q95) | Alphabet Inc. (wd:Q20800404) |

[Tool]
Got 1 row and 2 columns:
| parent2                      | parent2Label       |
| ---------------------------- | ------------------ |
| Alphabet Inc. (wd:Q20800404) | Alphabet Inc. (en) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?occupation ?occupationLabel ?subclass ?subclassLabel WHERE {
  ?occupation wdt:P279 wd:Q66715801 .
  OPTIONAL {
    ?subclass wdt:P279 ?occupation .
    OPTIONAL {
      ?subclass rdfs:label ?subclassLabel FILTER ( LANG( ?subclassLabel ) = "en" )
    }
  }
  OPTIONAL {
    ?occupation rdfs:label ?occupationLabel FILTER ( LANG( ?occupationLabel ) = "en" )
  }
}

The distinct occupations related to the musical profession in Wikidata are Klesmer (wd:Q1479168) and Animateur (wd:Q25535862). Neither has further subclasses listed.

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

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

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

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

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

[User] What are the 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 such occupation, we should also retrieve their subclasses (if available).
3. We want distinct results.

Step 1: Identify the entity for "occupation" and the property for "subclass of".
Step 2: Find the entity representing "musical profession" or "music-related occupation".
Step 3: Find all occupations that are subclasses of this entity, and 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, let's identify the property for "subclass of" to find related occupations and their subclasses.

[Tool]
Top 10 property alternatives:
1. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): (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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): relation between two metaclasses: instances of this metaclass ar...subclasses of classes that are instances of the target metaclass

[Assistant]
The property "subclass of" (wdt:P279) is what we need to find subclasses of "musical profession".

Now, let's check if "musical profession" (wd:Q66715801) has subclasses, and if those subclasses themselves have further subclasses (i.e., a two-level hierarchy). We'll also want to ensure that the results are distinct.

Let's construct a query to:
- Find all entities that are subclasses of "musical profession" (wd:Q66715801).
- For each, optionally find their subclasses.
- Return the IRIs of both levels, and optionally their labels.

I'll proceed to write and execute this query.

[Tool]
Got 2 rows and 4 columns:
| occupation               | occupationLabel | subclass | subclassLabel |
| ------------------------ | --------------- | -------- | ------------- |
| Klesmer (wd:Q1479168)    | Klesmer (en)    |          |               |
| animateur (wd:Q25535862) | animateur (en)  |          |               |

[Assistant]
The query found two distinct occupations that are subclasses of "musical profession" in Wikidata:

- Klesmer (wd:Q1479168)
- Animateur (wd:Q25535862)

Currently, neither of these occupations has further subclasses listed in Wikidata.

Here is the final SPARQL query and the answer.

[Tool] Stopped generation process