PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT DISTINCT ?recording ?recordingLabel ?performer ?performerLabel ?instrument ?instrumentLabel WHERE {
  ?recording wdt:P31 / wdt:P279 * wd:Q3302947 .
  ?recording p:P175 ?perfStmt .
  ?perfStmt ps:P175 ?performer .
  ?perfStmt pq:P1303 ?instrument .
  ?performer wdt:P31 wd:Q5 .
  OPTIONAL {
    ?recording rdfs:label ?recordingLabel .
    FILTER ( LANG( ?recordingLabel ) = "en" )
  }
  OPTIONAL {
    ?performer rdfs:label ?performerLabel .
    FILTER ( LANG( ?performerLabel ) = "en" )
  }
  OPTIONAL {
    ?instrument rdfs:label ?instrumentLabel .
    FILTER ( LANG( ?instrumentLabel ) = "en" )
  }
}
LIMIT 500

Using entities:
- audio recording (wd:Q3302947), also known as audio, sound recording: is subclass of record / single object representing recorded audio data in the form of audio signals on analogue or digital media
- human (wd:Q5), also known as human being, humans, individual Homo sapiens, individual human, modern humans, etc.: is instance of class of organisms known by one particular common name / is instance of organisms known by a particular common name / is subclass of mammal / is subclass of natural person / is subclass of omnivore / is subclass of person / is subclass of individual animal / any member of Homo sapiens, unique extant species of the genus Homo / common name of Homo sapiens, unique extant species of the genus Homo / common name of Homo sapiens, unique extant species of the genus Homo / common name of Homo sapiens, unique extant species of the genus Homo, from embryo to adult

Using properties:
- instrument (wd:P1303 as pq), also known as instrument played, instrument(s), instruments, instrument taught, musical instrument, etc.: is subproperty of uses / musical instrument that a person plays or teaches or used in a music occupation
- performer (wd:P175 as p/ps), also known as actor, actress, artist, dancer, musical artist, etc.: is subproperty of contributor to the creative work or subject / actor, musician, band or other performer associated with this role or musical work / actor, musician, music group or other performer associated with this work
- subclass of (wd:P279 as wdt), also known as all members of this class also belong to, category of, form of, has superclass, is a class of, etc.: this item is a subclass (subset) of that item; ALL instances ... of volcanic landform); Everest is an instance of mountain / this item is a subclass (subset) of that item; all instances ... instance of volcanic landform); K2 is an instance of mountain / this item is a subclass (subset) of that item; all instances ... instance of volcanic landform); K2 is an instance of mountain / this item is a subclass (subset) of that item; all instances ... instance of volcanic landform); K2 is an instance of mountain
- instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.: that class of which this subject is a particular example and ... a subclass of mountain (and an instance of volcanic landform) / type to which this subject corresponds/belongs. Different ... and the volcano is a type (instance) of volcanic landform

Got 500 rows and 6 columns, showing the first 5 and last 5 rows below:
| recording                                  | recordingLabel                        | performer                    | performerLabel            | instrument                      | instrumentLabel               |
| ------------------------------------------ | ------------------------------------- | ---------------------------- | ------------------------- | ------------------------------- | ----------------------------- |
| It's the Same Old Song (wd:Q104787723)     | It's the Same Old Song (lang:en)      | James Jamerson (wd:Q546956)  | James Jamerson (lang:en)  | bass guitar (wd:Q46185)         | bass guitar (lang:en)         |
| Why So Lonely (wd:Q105106940)              | Why So Lonely (lang:en)               | Park Ye-eun (wd:Q483638)     | Park Ye-eun (lang:en)     | voice (wd:Q17172850)            | voice (lang:en)               |
| Why So Lonely (wd:Q105106940)              | Why So Lonely (lang:en)               | Park Ye-eun (wd:Q483638)     | Park Ye-eun (lang:en)     | keyboard instrument (wd:Q52954) | keyboard instrument (lang:en) |
| Why So Lonely (wd:Q105106940)              | Why So Lonely (lang:en)               | Hyelim (wd:Q493899)          | Hyelim (lang:en)          | voice (wd:Q17172850)            | voice (lang:en)               |
| Why So Lonely (wd:Q105106940)              | Why So Lonely (lang:en)               | Hyelim (wd:Q493899)          | Hyelim (lang:en)          | guitar (wd:Q6607)               | guitar (lang:en)              |
| ...                                        | ...                                   | ...                          | ...                       | ...                             | ...                           |
| Arouna (feat. Joy Denalane) (wd:Q84842942) | Arouna (feat. Joy Denalane) (lang:en) | Joy Denalane (wd:Q543531)    | Joy Denalane (lang:en)    | voice (wd:Q17172850)            | voice (lang:en)               |
| Emma (feat. Carmen Consoli) (wd:Q84843705) | Emma (feat. Carmen Consoli) (lang:en) | Angelique Kidjo (wd:Q231276) | Angelique Kidjo (lang:en) | voice (wd:Q17172850)            | voice (lang:en)               |
| Emma (feat. Carmen Consoli) (wd:Q84843705) | Emma (feat. Carmen Consoli) (lang:en) | Carmen Consoli (wd:Q447139)  | Carmen Consoli (lang:en)  | voice (wd:Q17172850)            | voice (lang:en)               |
| Emma (wd:Q84845575)                        | Emma (lang:en)                        | Larry Campbell (wd:Q1806036) | Larry Campbell (lang:en)  | steel guitar (wd:Q2617520)      | steel guitar (lang:en)        |
| Emma (wd:Q84845575)                        | Emma (lang:en)                        | Angelique Kidjo (wd:Q231276) | Angelique Kidjo (lang:en) | voice (wd:Q17172850)            | voice (lang:en)               |

Answer:
This query returns recordings (instances or subclasses of audio recordings, wd:Q3302947) that have performer statements (P175) where the performer is a human (instance of wd:Q5) and the performer statement includes an instrument qualifier (pq:P1303). Results include the recording IRI and optional English label, the performer IRI and English label, and the instrument IRI and English label. Assumptions and notes:
- I assumed "recordings" correspond to items that are instances or subclasses of audio recording (Q3302947).
- The instrument is modeled as a qualifier (P1303) on the P175 (performer) statement; the query requires that qualifier to be present, so recordings without that qualifier are not returned.
- I restricted performers to humans (wd:Q5) to focus on performers who played instruments; this excludes ensembles or non-human performer items.

Example results returned by this query include rows such as:
- It's the Same Old Song — James Jamerson — bass guitar
- Why So Lonely — Park Ye-eun — voice, keyboard instrument
- Emma — Angelique Kidjo — voice

If you want a broader or narrower selection (e.g., include non-human performers, include albums and tracks differently, or remove the instance-of restriction), tell me how you want it adjusted and I will refine the query.

This query returns recordings (instances or subclasses of audio recordings, wd:Q3302947) that have performer statements (P175) where the performer is a human (instance of wd:Q5) and the performer statement includes an instrument qualifier (pq:P1303). Results include the recording IRI and optional English label, the performer IRI and English label, and the instrument IRI and English label. Assumptions and notes:
- I assumed "recordings" correspond to items that are instances or subclasses of audio recording (Q3302947).
- The instrument is modeled as a qualifier (P1303) on the P175 (performer) statement; the query requires that qualifier to be present, so recordings without that qualifier are not returned.
- I restricted performers to humans (wd:Q5) to focus on performers who played instruments; this excludes ensembles or non-human performer items.

Example results returned by this query include rows such as:
- It's the Same Old Song — James Jamerson — bass guitar
- Why So Lonely — Park Ye-eun — voice, keyboard instrument
- Emma — Angelique Kidjo — voice

If you want a broader or narrower selection (e.g., include non-human performers, include albums and tracks differently, or remove the instance-of restriction), tell me how you want it adjusted and I will refine the query.

SPARQL query over wikidata:
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT DISTINCT ?recording ?recordingLabel ?performer ?performerLabel ?instrument ?instrumentLabel WHERE {
  ?recording wdt:P31 / wdt:P279 * wd:Q3302947 .
  ?recording p:P175 ?perfStmt .
  ?perfStmt ps:P175 ?performer .
  ?perfStmt pq:P1303 ?instrument .
  ?performer wdt:P31 wd:Q5 .
  OPTIONAL {
    ?recording rdfs:label ?recordingLabel .
    FILTER ( LANG( ?recordingLabel ) = "en" )
  }
  OPTIONAL {
    ?performer rdfs:label ?performerLabel .
    FILTER ( LANG( ?performerLabel ) = "en" )
  }
  OPTIONAL {
    ?instrument rdfs:label ?instrumentLabel .
    FILTER ( LANG( ?instrumentLabel ) = "en" )
  }
}
LIMIT 500

Using entities:
- audio recording (wd:Q3302947), also known as audio, sound recording: is subclass of record / single object representing recorded audio data in the form of audio signals on analogue or digital media
- human (wd:Q5), also known as human being, humans, individual Homo sapiens, individual human, modern humans, etc.: is instance of class of organisms known by one particular common name / is instance of organisms known by a particular common name / is subclass of mammal / is subclass of natural person / is subclass of omnivore / is subclass of person / is subclass of individual animal / any member of Homo sapiens, unique extant species of the genus Homo / common name of Homo sapiens, unique extant species of the genus Homo / common name of Homo sapiens, unique extant species of the genus Homo / common name of Homo sapiens, unique extant species of the genus Homo, from embryo to adult

Using properties:
- instrument (wd:P1303 as pq), also known as instrument played, instrument(s), instruments, instrument taught, musical instrument, etc.: is subproperty of uses / musical instrument that a person plays or teaches or used in a music occupation
- performer (wd:P175 as p/ps), also known as actor, actress, artist, dancer, musical artist, etc.: is subproperty of contributor to the creative work or subject / actor, musician, band or other performer associated with this role or musical work / actor, musician, music group or other performer associated with this work
- subclass of (wd:P279 as wdt), also known as all members of this class also belong to, category of, form of, has superclass, is a class of, etc.: this item is a subclass (subset) of that item; ALL instances ... of volcanic landform); Everest is an instance of mountain / this item is a subclass (subset) of that item; all instances ... instance of volcanic landform); K2 is an instance of mountain / this item is a subclass (subset) of that item; all instances ... instance of volcanic landform); K2 is an instance of mountain / this item is a subclass (subset) of that item; all instances ... instance of volcanic landform); K2 is an instance of mountain
- instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.: that class of which this subject is a particular example and ... a subclass of mountain (and an instance of volcanic landform) / type to which this subject corresponds/belongs. Different ... and the volcano is a type (instance) of volcanic landform

Execution result:
Got 500 rows and 6 columns, showing the first 5 and last 5 rows below:
| recording                                  | recordingLabel                        | performer                    | performerLabel            | instrument                      | instrumentLabel               |
| ------------------------------------------ | ------------------------------------- | ---------------------------- | ------------------------- | ------------------------------- | ----------------------------- |
| It's the Same Old Song (wd:Q104787723)     | It's the Same Old Song (lang:en)      | James Jamerson (wd:Q546956)  | James Jamerson (lang:en)  | bass guitar (wd:Q46185)         | bass guitar (lang:en)         |
| Why So Lonely (wd:Q105106940)              | Why So Lonely (lang:en)               | Park Ye-eun (wd:Q483638)     | Park Ye-eun (lang:en)     | voice (wd:Q17172850)            | voice (lang:en)               |
| Why So Lonely (wd:Q105106940)              | Why So Lonely (lang:en)               | Park Ye-eun (wd:Q483638)     | Park Ye-eun (lang:en)     | keyboard instrument (wd:Q52954) | keyboard instrument (lang:en) |
| Why So Lonely (wd:Q105106940)              | Why So Lonely (lang:en)               | Hyelim (wd:Q493899)          | Hyelim (lang:en)          | voice (wd:Q17172850)            | voice (lang:en)               |
| Why So Lonely (wd:Q105106940)              | Why So Lonely (lang:en)               | Hyelim (wd:Q493899)          | Hyelim (lang:en)          | guitar (wd:Q6607)               | guitar (lang:en)              |
| ...                                        | ...                                   | ...                          | ...                       | ...                             | ...                           |
| Arouna (feat. Joy Denalane) (wd:Q84842942) | Arouna (feat. Joy Denalane) (lang:en) | Joy Denalane (wd:Q543531)    | Joy Denalane (lang:en)    | voice (wd:Q17172850)            | voice (lang:en)               |
| Emma (feat. Carmen Consoli) (wd:Q84843705) | Emma (feat. Carmen Consoli) (lang:en) | Angelique Kidjo (wd:Q231276) | Angelique Kidjo (lang:en) | voice (wd:Q17172850)            | voice (lang:en)               |
| Emma (feat. Carmen Consoli) (wd:Q84843705) | Emma (feat. Carmen Consoli) (lang:en) | Carmen Consoli (wd:Q447139)  | Carmen Consoli (lang:en)  | voice (wd:Q17172850)            | voice (lang:en)               |
| Emma (wd:Q84845575)                        | Emma (lang:en)                        | Larry Campbell (wd:Q1806036) | Larry Campbell (lang:en)  | steel guitar (wd:Q2617520)      | steel guitar (lang:en)        |
| Emma (wd:Q84845575)                        | Emma (lang:en)                        | Angelique Kidjo (wd:Q231276) | Angelique Kidjo (lang:en) | voice (wd:Q17172850)            | voice (lang:en)               |

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

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Available knowledge graphs:
- wikidata at http://localhost:7001 with prefix index for entities and similarity index for properties, and notes:
  - P106 = occupation. Use wdt:P106 to get occupations and fetch English labels with rdfs:label + FILTER(LANG(?label)="en"). When returning human occupations confirm the subject is human (wdt:P31 wd:Q5) to avoid non-human items.
  - Population (P1082) and tabular (P4179): use wdt:P1082 for quick/direct values; for time-series/point-in-time use p:P1082 + ps:P1082 + pq:P585 and ORDER BY pq:P585 DESC. Inspect statement qualifiers (e.g., 'applies to part') and prov:wasDerivedFrom references (pr:P854 etc.) to detect city-proper vs metro/prefecture scopes before using values.
  - Common person properties: P31 (instance of human Q5), P106 (occupation), P569 (date of birth), P19 (place of birth), P27 (country of citizenship), P21 (sex/gender), P166 (award received). Use wdt: for direct values when possible.
  - P17 (country) can be incomplete/misleading for places (historical/overseas tags). To get modern cities in a country combine: instance-of city (P31=Q515) + wdt:P17 OR use wdt:P131* to find an admin parent whose wdt:P17 = the country. Also cross-check coordinates (P625) or admin hierarchy to spot outliers.
  - When filtering by date of birth (P569) use xsd:dateTime comparisons (e.g. >= "1900-01-01T00:00:00Z"^^xsd:dateTime). Be aware many items have year-only or imprecise dates and coverage is biased toward notable/public figures (sportspeople, politicians, artists).
  - To retrieve qualifiers (e.g., award year) use the statement/qualifier pattern: p:Pxxx / ps:Pxxx / pq:P585. Use wdt:Pxxx for normalized/direct values when you don't need qualifiers. Example: p:P166 + pq:P585 gives award year.
  - To get a person's occupations: use wdt:P106 for direct/normalized values and rdfs:label for human-readable names (FILTER(LANG(...))). Example: wd:Q... wdt:P106 ?occ . ?occ rdfs:label ?occLabel . FILTER(LANG(?occLabel)="en").
  - P166 = award received. Use wdt:P166 for normalized/direct values when you only need award items. To get award years or qualifiers use p:P166 / ps:P166 / pq:P585. Many statements lack pq:P585 — use OPTIONAL { ?stmt pq:P585 ?date } and ORDER BY DESC(?date). When listing award winners, filter ?person wdt:P31 wd:Q5 to ensure humans.
  - Population time-series pattern: wd:Q... p:P1082 ?stmt . ?stmt ps:P1082 ?pop . OPTIONAL { ?stmt pq:P585 ?date } . ORDER BY DESC(?date). pq:P585 is the point-in-time qualifier. IMPORTANT: time-series may mix scopes (city proper vs metro) — e.g., Tokyo has a 2016 entry ~38,140,000 likely metro vs smaller city figures. Inspect qualifiers/references for scope before use.
  - Use wdt:P131* to traverse the admin hierarchy and compare wdt:P17 on the place vs an admin parent to detect historical/colonial country assignments. When mismatches appear, inspect the admin parent's instance-of (P31), labels, qualifiers and references to interpret the historical scope.
  - wdt:P106 often yields multiple occupations for a person. Use GROUP_CONCAT(DISTINCT ?occLabel; separator=", ") or return multiple rows. Always fetch labels with rdfs:label + FILTER(LANG(?label)="en") to get readable occupation names.
  - When a search_entity returns multiple hits (person vs sculpture vs memorial), confirm you selected the human/statements by checking wdt:P31 (instance of) and relevant wdt: properties (e.g., wdt:P106). This avoids using a non-human QID by mistake.
  - search_autocomplete can be constrained with a SPARQL pattern containing ?search (e.g., SELECT * WHERE { ?search wdt:P31 wd:Q5 }). Use constraints to focus results (e.g., humans) and avoid ambiguous fallbacks; if it returns no results, fallback to search_entity and verify wdt:P31.
  - Use search_property_of_entity to find relevant properties for an entity (e.g., 'award' -> P166) and search_object_of_property to discover candidate objects (e.g., 'physicist' for P106). This reduces guessing P/Q ids and surfaces qualifiers.
  - Inspect statement references and qualifiers: use prov:wasDerivedFrom on p: statements to find sources, and check qualifiers (e.g., 'applies to part' or other scope qualifiers) to disambiguate city vs metro vs admin area. Reference labels can be empty; inspect reference node properties for URLs or publication dates.

Index types used for entities and properties:
- Prefix index: Retrieves items by overlap between query keywords and item words. The query keywords can match item words exactly or as prefixes.
- Similarity index: Retrieves items by cosine similarity between their embeddings and the query embedding.

General notes across knowledge graphs:
- Use rdfs:label + FILTER(LANG(?label)="en") for labels; avoid SERVICE wikibase:label. Use wdt:Pxxx for normalized/direct values when qualifiers aren't needed. Use p:Pxxx / ps:Pxxx / pq:Pxxx to access statement qualifiers (e.g., award year via pq:P585). When dates matter, prefer xsd:dateTime and watch for year-only precision.
- Practical query patterns: use rdfs:label + FILTER(LANG(...)) for labels. Use wdt:Pxxx for direct/normalized values when qualifiers aren't needed. Use p:Pxxx / ps:Pxxx / pq:Pxxx to access qualifiers (dates via pq:P585). For dates use xsd:dateTime and expect year-only precision. For places: combine P17 with P131 or coordinate (P625) filters to avoid historical/overseas mismatches.
- Use OPTIONAL for pq: qualifiers (e.g., pq:P585), sort by qualifier (ORDER BY pq:P585 DESC) to prefer recent values. Use GROUP_CONCAT to combine multiple labels/values in one row. Watch for typed literals (xsd:dateTime, xsd:decimal) when filtering or sorting.
- Before querying, use search_entity to resolve human-friendly names to wd:Q identifiers and verify instance-of (e.g., check wdt:P31 = wd:Q5 for humans) to avoid ambiguous matches. Prefer the top match but programmatically confirm P31 before using its data.
- Use search_property to confirm property identifiers (e.g., "country" -> P17) before embedding them in queries. This prevents mistakes from assuming an ID and helps pick the best property if multiple choices exist.
- search_autocomplete can fall back to an unconstrained search or error when there are too many candidates. If this happens (e.g., "more than the maximum supported number of subject candidates"), retry with narrower constraints such as instance-of (wdt:P31), additional type filters, or short prefixes to reduce the candidate set; otherwise fallback to search_entity and verify wdt:P31.
- Use list(...) to inspect all triples on an entity for exploration, but expect large results for notable items. Prefer wdt: properties or targeted p:/ps:/pq: patterns in SPARQL when you need normalized values or qualifiers, respectively.
- Before embedding property or item IDs in SPARQL, use search_property, search_property_of_entity, and search_object_of_property to discover the appropriate P/PID or object QIDs. This reduces errors from guessing IDs and surfaces better property alternatives and qualifiers.
- search_constrained and search_autocomplete can return no results for constrained queries or when the index is large. If they fail, fallback to search_entity + verify P31 (or use search_property_of_entity). Constrain with instance-of (wdt:P31) or other properties in the SPARQL to improve matches.
- When selecting awards by year, prefer xsd:dateTime range filters (e.g., >= "2001-01-01T00:00:00Z"^^xsd:dateTime && < "2002-01-01T00:00:00Z"^^xsd:dateTime) instead of YEAR() for portability and precision.
- When selecting award winners via wdt:P166, filter ?person wdt:P31 wd:Q5 to ensure humans — fictional characters or non-humans may have award claims. If you need award years use p:P166 / ps:P166 / pq:P585 and OPTIONAL { ?stmt pq:P585 ?year } to retrieve qualifier years.
- Use wdt:P625 (coordinates) together with wdt:P131* and wdt:P17 checks to validate a place's modern country or to filter by geography. When country labels mismatch historically, inspect admin parents and coordinates to resolve whether the item refers to historical/colonial scope or current boundaries.
- Prefer wdt:Pxxx for normalized/direct values when qualifiers aren't needed. Use p:Pxxx / ps:Pxxx / pq:Pxxx to access qualifiers (e.g., pq:P585 for award year). Always fetch labels with rdfs:label + FILTER(LANG(?label) = "en").
- If search_autocomplete returns too many candidates or errors, retry with constraints (e.g., SELECT * WHERE { ?search wdt:P31 wd:Q5 }) or narrower query text. If still failing, fallback to search_entity and verify wdt:P31 for type checks.
- For award-year queries use p:P166 / ps:P166 / pq:P585 to access award statements and year qualifiers. Filter by xsd:dateTime ranges (e.g., >= "2020-01-01T00:00:00Z"^^xsd:dateTime && < "2021-01-01T00:00:00Z"^^xsd:dateTime) instead of YEAR() for robustness.
- Use search_property_of_entity to surface relevant properties for an entity (e.g., 'birth' -> P569/P19). list(...) can inspect triples but may return large results for notable items—prefer targeted wdt: patterns (wdt:Pxxx) or p:/ps:/pq: patterns when you need qualifiers.

SPARQL prefixes for use in function calls:
- bd: <http://www.bigdata.com/rdf#
- cc: <http://creativecommons.org/ns#
- data: <https://www.wikidata.org/wiki/Special:EntityData/
- dc: <http://purl.org/dc/elements/1.1/
- dct: <http://purl.org/dc/terms/
- foaf: <http://xmlns.com/foaf/0.1/
- geo: <http://www.opengis.net/ont/geosparql#
- geof: <http://www.opengis.net/def/function/geosparql/
- gn: <http://www.geonames.org/ontology#
- hint: <http://www.bigdata.com/queryHints#
- 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/
- qb: <http://purl.org/linked-data/cube#
- qfn: <http://qlever.cs.uni-freiburg.de/function#
- ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
- qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
- rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
- rdfs: <http://www.w3.org/2000/01/rdf-schema#
- ref: <http://www.wikidata.org/reference/
- s: <http://www.wikidata.org/entity/statement/
- schema: <http://schema.org/
- skos: <http://www.w3.org/2004/02/skos/core#
- v: <http://www.wikidata.org/value/
- void: <http://rdfs.org/ns/void#
- 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#

Additional rules to follow:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- Do not ask the user for clarifications without first attempting to complete the task. If the task input is incomplete or ambiguous, try to make reasonable assumptions and document them.
- Do not use "SERVICE wikibase:label { bd:serviceParam wikibase:language ..." in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
- Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
- Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] What are the recordings that feature performers and the instruments they played?

[Assistant]
I'll look up the relevant Wikidata properties for "performer" and "instrument played" so I can use their proper P IDs in the query. I'll run searches for both terms and inspect results.

Question: performer

Top 10 property alternatives:
1. performer (wd:P175 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p), also known as actor, actress, artist, dancer, musical artist, etc.: actor, musician, band or other performer associated with this role or musical work / actor, musician, music group or other performer associated with this work / is subproperty of contributor to the creative work or subject
2. character role (wd:P453 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via performer of), also known as acting role, as, performer of, plays, role, etc.: specific role played or filled by subject -- use only as qualifier of "cast member" (P161), "voice actor" (P725) / specific role played or filled by subject (use only as qualifier of P161 or P725)
3. creator (wd:P170 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via artist (non-musical)), also known as art by, artist (non-musical), art work by, artwork by, by, etc.: maker of this creative work or other object (where no more specific property exists) / maker of this creative work or other object (where no more specific property exists) / maker of a creative work or other object (where no more specific property exists)
4. lyricist (wd:P676 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via songwriter), also known as author, lyrics by, songwriter, text author, text by, etc.: author of song lyrics; also use P86 for music composer / is subproperty of author / author of song lyrics
5. composer (wd:P86 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via songwriter), also known as composed by, film score by, musical score by, music by, songwriter, etc.: person(s) who wrote the music [for lyricist, use "lyrics by" (P676)] / person(s) who wrote the music; also use P676 for lyricist / person(s) who wrote the music; also use P676 for lyricist / is subproperty of creator
6. cover art by (wd:P736 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via artist), also known as album art by, album artwork by, album artwork designed by, album artwork designer, artist, etc.: name of person or team creating cover artwork for book, record album, single record etc.
7. cast member (wd:P161 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p), also known as actor, actress, contestant of a play, feat., film starring, etc.: actor in the subject production [use "character role" (P453) ... "recorded participant" (P11108) for non-fiction productions] / actor in the subject production [use "character role" (P453) ... as qualifiers] [use "voice actor" (P725) for voice-only role] / actor performing live for a camera or audience [use ... as qualifier] [use "voice actor" (P725) for voice-only role] / is subproperty of significant person / is subproperty of performer
8. producer (wd:P162 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via music producer), also known as creative producer, film producer, musical producer, music producer, produced by, etc.: person(s) who produced the film, musical work, theatrical ... [for production company, use P272, video games - use P178] / producer(s) of this film or music work (film: not executive producers, associate producers, etc.)
9. playDB artist ID (wd:P9172 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via playDB artist identifier), also known as playDB artist identifier, P9172: identifier for music artists in playDB
10. exhibited creator (wd:P10661 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via exhibited artist), also known as artist exhibited, exhibited artist, P10661: intellectual or creative entity (person or organization) responsible for the elements exhibited / is subproperty of creator

[Assistant]
I'll search for properties related to "instrument" and "instrument played" to find the correct property ID.

Question: instrument

Top 10 property alternatives:
1. instrument (wd:P1303 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p), also known as instrument played, instrument(s), instruments, instrument taught, musical instrument, etc.: musical instrument that a person plays or teaches or used in a music occupation / is subproperty of uses
2. instrumentation (wd:P870 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via instruments), also known as arranged for, instruments, instruments called for, instruments employed, instruments used, etc.: combination of musical instruments employed in a composition or accompanying a (folk) dance
3. uses (wd:P2283 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via instrument played), also known as instrument played, item used, made use of, makes use of, trope used, etc.: item or concept used by the subject or in the operation (see also instrument [P1303] and armament [P520]) / item or concept used by the subject or in the operation
4. performer (wd:P175 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via musician), also known as actor, actress, artist, dancer, musical artist, etc.: actor, musician, band or other performer associated with this role or musical work / actor, musician, music group or other performer associated with this work / is subproperty of contributor to the creative work or subject
5. music created for (wd:P9899 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via music for), also known as album made for, composed for, composed for work, created for, is music for work, etc.: a work, event, etc. for which a musical composition was ... written; a film for which motion picture music was created) / is subproperty of created for
6. MIMO instrument ID (wd:P3763 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via Musical Instruments Museums Online instrument ID), also known as MIMO instrument identifier, Musical Instruments Museums Online instrument ID, Musical Instruments Museums Online instrument identifier, P3763: identifier for a musical instrument, on the instrument keyword thesaurus from Musical Instruments Museums Online
7. composer (wd:P86 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p), also known as composed by, film score by, musical score by, music by, songwriter, etc.: person(s) who wrote the music [for lyricist, use "lyrics by" (P676)] / person(s) who wrote the music; also use P676 for lyricist / person(s) who wrote the music; also use P676 for lyricist / is subproperty of creator
8. item operated (wd:P121 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via acop), also known as acop, aircraft carried, aircraft in fleet, aircraft operated, controls, etc.: equipment, installation or service operated by the subject / equipment, installation or service operated by the subject / equipment, installation or service operated by the subject / is subproperty of uses
9. house publication (wd:P2813 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via mouthpiece), also known as has mouthpiece, house journal, house magazine, house organ, house periodical, etc.: media that speaks for an organization or a movement, and that is usually edited by its members
10. setlist (wd:P9793 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via music performed), also known as concert program, music performed, performance list, performances, set list, etc.: performances of songs or other music at an event; concert program / is subproperty of presented works

[Assistant]
I'll search for the item for "sound recording" / "recording" to constrain results to actual recordings (items that are instances of a sound or musical recording).

Question: sound recording

Top 10 entity alternatives:
1. sound recording process (wd:Q5057302, matched via sound recording), also known as audio recording, sound recording: process of electrical or mechanical inscription of sound waves / is subclass of software feature / is subclass of Recording / is subclass of recording
2. sound recording and reproduction (wd:Q20077126, matched via sound recording), also known as audio recording, sound recording, sound recordings: recording of sound and playing it back / is subclass of technology / is subclass of copying
3. audio recording (wd:Q3302947, matched via sound recording), also known as audio, sound recording: single object representing recorded audio data in the form of audio signals on analogue or digital media / is subclass of record
4. Recording Sound (wd:Q122934321): sculpture by Theodore Roszak / is instance of sculpture
5. phonogram (wd:Q114797928, matched via sound recording), also known as sound recording, sound recording of performances: legal concept defining a type of copyrightable subject matter / is subclass of valid subject matter for copyright / is subclass of audio recording / is instance of legal concept / is instance of condition
6. discography (wd:Q273057, matched via sound recording list), also known as audio recording list, audio recording lists, audio recordings, discographies, list of sound recordings, etc.: study and cataloging of published sound recordings / is subclass of series of creative works / is subclass of group of works / is subclass of bibliography / is subclass of videography / is subclass of collection / is subclass of serial
7. recording studio (wd:Q746369, matched via sound recording studio), also known as music recording facility, sound recording studio: specialized facility for sound recording / is subclass of media studio facility
8. field recording (wd:Q360982, matched via live sound recording), also known as field recordings, live sound recording, location recording, phonography: term used for an audio recording produced outside a recording ... of capturing the audible illustration of an environment / is instance of audio content genre / is subclass of audio recording / is instance of technique / is subclass of non-music
9. ℗ (wd:Q7564809, matched via SOUND RECORDING COPYRIGHT), also known as phonographic copyright, SOUND RECORDING COPYRIGHT, sound recording copyright symbol, U+2117: sound recording copyright (U+2117), symbol used to provide ... (LPs, audiotapes, cassette tapes, compact discs, etc.) / is instance of character / is subclass of copyright / is instance of symbol
10. history of sound recording (wd:Q7222258, matched via sound recording history), also known as sound recording history: is instance of aspect of history / aspect of history

[Assistant]
I'll run a SPARQL query that finds items that are instances of "audio recording" (wd:Q3302947), have performer statements (p:P175) whose main value is a human performer (ps:P175 ?performer with ?performer wdt:P31 wd:Q5), and where that performer statement has a qualifier pq:P1303 indicating the instrument played. I'll request IRIs and English labels. I'll limit results to 200 to get a representative sample. Then I'll inspect the results and refine if needed.

execute

PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>

SELECT DISTINCT ?recording ?recordingLabel ?performer ?performerLabel ?instrument ?instrumentLabel WHERE {
  ?recording wdt:P31 wd:Q3302947 .
  ?recording p:P175 ?perfStmt .
  ?perfStmt ps:P175 ?performer .
  ?perfStmt pq:P1303 ?instrument .
  ?performer wdt:P31 wd:Q5 .

  OPTIONAL { ?recording rdfs:label ?recordingLabel . FILTER(LANG(?recordingLabel) = "en") }
  OPTIONAL { ?performer rdfs:label ?performerLabel . FILTER(LANG(?performerLabel) = "en") }
  OPTIONAL { ?instrument rdfs:label ?instrumentLabel . FILTER(LANG(?instrumentLabel) = "en") }
}
LIMIT 200

Got 2 rows and 6 columns:
| recording                                   | recordingLabel                         | performer                         | performerLabel               | instrument            | instrumentLabel     |
| ------------------------------------------- | -------------------------------------- | --------------------------------- | ---------------------------- | --------------------- | ------------------- |
| Le Chevalier de Saint-George (wd:Q28126249) | Le Chevalier de Saint-George (lang:en) | František Preisler (wd:Q12017432) | František Preisler (lang:en) | orchestra (wd:Q42998) | orchestra (lang:en) |
| Le Chevalier de Saint-George (wd:Q28126249) | Le Chevalier de Saint-George (lang:en) | Miroslav Vilímec (wd:Q28126214)   | Miroslav Vilímec (lang:en)   | violin (wd:Q8355)     | violin (lang:en)    |

[Assistant]
The initial query returned a small sample (2 rows) — it's valid but sparse. I'll broaden the scope to include items that are instance of audio recording OR instance of subclasses of audio recording (i.e., use wdt:P31/wdt:P279* wd:Q3302947) and run again to find more recordings with performer-instrument qualifiers. I'll also remove the LIMIT or increase it to 500. I'll run that refined query next.

PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>

SELECT DISTINCT ?recording ?recordingLabel ?performer ?performerLabel ?instrument ?instrumentLabel WHERE {
  # include instances of audio recording or its subclasses
  ?recording wdt:P31/wdt:P279* wd:Q3302947 .
  ?recording p:P175 ?perfStmt .
  ?perfStmt ps:P175 ?performer .
  ?perfStmt pq:P1303 ?instrument .
  ?performer wdt:P31 wd:Q5 .

  OPTIONAL { ?recording rdfs:label ?recordingLabel . FILTER(LANG(?recordingLabel) = "en") }
  OPTIONAL { ?performer rdfs:label ?performerLabel . FILTER(LANG(?performerLabel) = "en") }
  OPTIONAL { ?instrument rdfs:label ?instrumentLabel . FILTER(LANG(?instrumentLabel) = "en") }
}
LIMIT 500

Got 500 rows and 6 columns, showing the first 5 and last 5 rows below:
| recording                                  | recordingLabel                        | performer                    | performerLabel            | instrument                      | instrumentLabel               |
| ------------------------------------------ | ------------------------------------- | ---------------------------- | ------------------------- | ------------------------------- | ----------------------------- |
| It's the Same Old Song (wd:Q104787723)     | It's the Same Old Song (lang:en)      | James Jamerson (wd:Q546956)  | James Jamerson (lang:en)  | bass guitar (wd:Q46185)         | bass guitar (lang:en)         |
| Why So Lonely (wd:Q105106940)              | Why So Lonely (lang:en)               | Park Ye-eun (wd:Q483638)     | Park Ye-eun (lang:en)     | voice (wd:Q17172850)            | voice (lang:en)               |
| Why So Lonely (wd:Q105106940)              | Why So Lonely (lang:en)               | Park Ye-eun (wd:Q483638)     | Park Ye-eun (lang:en)     | keyboard instrument (wd:Q52954) | keyboard instrument (lang:en) |
| Why So Lonely (wd:Q105106940)              | Why So Lonely (lang:en)               | Hyelim (wd:Q493899)          | Hyelim (lang:en)          | voice (wd:Q17172850)            | voice (lang:en)               |
| Why So Lonely (wd:Q105106940)              | Why So Lonely (lang:en)               | Hyelim (wd:Q493899)          | Hyelim (lang:en)          | guitar (wd:Q6607)               | guitar (lang:en)              |
| ...                                        | ...                                   | ...                          | ...                       | ...                             | ...                           |
| Arouna (feat. Joy Denalane) (wd:Q84842942) | Arouna (feat. Joy Denalane) (lang:en) | Joy Denalane (wd:Q543531)    | Joy Denalane (lang:en)    | voice (wd:Q17172850)            | voice (lang:en)               |
| Emma (feat. Carmen Consoli) (wd:Q84843705) | Emma (feat. Carmen Consoli) (lang:en) | Angelique Kidjo (wd:Q231276) | Angelique Kidjo (lang:en) | voice (wd:Q17172850)            | voice (lang:en)               |
| Emma (feat. Carmen Consoli) (wd:Q84843705) | Emma (feat. Carmen Consoli) (lang:en) | Carmen Consoli (wd:Q447139)  | Carmen Consoli (lang:en)  | voice (wd:Q17172850)            | voice (lang:en)               |
| Emma (wd:Q84845575)                        | Emma (lang:en)                        | Larry Campbell (wd:Q1806036) | Larry Campbell (lang:en)  | steel guitar (wd:Q2617520)      | steel guitar (lang:en)        |
| Emma (wd:Q84845575)                        | Emma (lang:en)                        | Angelique Kidjo (wd:Q231276) | Angelique Kidjo (lang:en) | voice (wd:Q17172850)            | voice (lang:en)               |

[Assistant]
I'll submit the final SPARQL query (the one I executed and refined) and provide a concise explanation of what it returns and the assumptions made.

answer

PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>

SELECT DISTINCT ?recording ?recordingLabel ?performer ?performerLabel ?instrument ?instrumentLabel WHERE {
  # include instances of audio recording or its subclasses
  ?recording wdt:P31/wdt:P279* wd:Q3302947 .
  ?recording p:P175 ?perfStmt .
  ?perfStmt ps:P175 ?performer .
  ?perfStmt pq:P1303 ?instrument .
  ?performer wdt:P31 wd:Q5 .

  OPTIONAL { ?recording rdfs:label ?recordingLabel . FILTER(LANG(?recordingLabel) = "en") }
  OPTIONAL { ?performer rdfs:label ?performerLabel . FILTER(LANG(?performerLabel) = "en") }
  OPTIONAL { ?instrument rdfs:label ?instrumentLabel . FILTER(LANG(?instrumentLabel) = "en") }
}
LIMIT 500

Answer:
This query returns recordings (instances or subclasses of audio recordings, wd:Q3302947) that have performer statements (P175) where the performer is a human (instance of wd:Q5) and the performer statement includes an instrument qualifier (pq:P1303). Results include the recording IRI and optional English label, the performer IRI and English label, and the instrument IRI and English label. Assumptions and notes:
- I assumed "recordings" correspond to items that are instances or subclasses of audio recording (Q3302947).
- The instrument is modeled as a qualifier (P1303) on the P175 (performer) statement; the query requires that qualifier to be present, so recordings without that qualifier are not returned.
- I restricted performers to humans (wd:Q5) to focus on performers who played instruments; this excludes ensembles or non-human performer items.

Example results returned by this query include rows such as:
- It's the Same Old Song — James Jamerson — bass guitar
- Why So Lonely — Park Ye-eun — voice, keyboard instrument
- Emma — Angelique Kidjo — voice

If you want a broader or narrower selection (e.g., include non-human performers, include albums and tracks differently, or remove the instance-of restriction), tell me how you want it adjusted and I will refine the query.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?subject ?label WHERE {
  wd:Q116738730 wdt:P921 ?subject .
  OPTIONAL {
    ?subject rdfs:label ?enLabel FILTER ( LANG( ?enLabel ) = "en" )
  }
  OPTIONAL {
    ?subject rdfs:label ?deLabel FILTER ( LANG( ?deLabel ) = "de" )
  }
  OPTIONAL {
    ?subject rdfs:label ?anyLabel FILTER ( LANG( ?anyLabel ) != "" )
  }
  BIND( COALESCE ( ?enLabel , ?deLabel , ?anyLabel ) AS ?label )
}
ORDER BY ?label
LIMIT 100

Using entities:
- Neue Cyclocephalen (Col. Dyn.) (wd:Q116738730): is instance of academic article / is instance of scholarly article / scientific paper published in 1923

Using properties:
- main subject (wd:P921 as wdt), also known as about, artistic theme, /common/topic/subject, content deals with, content describes, etc.: is subproperty of depicts / primary topic of a work / primary topic of a work (see also P180: depicts) / primary topic of a work (see also P180: depicts) / primary topic of a work (see also P180: depicts)

SPARQL execution failed:
HTTPConnectionPool(host='localhost', port=7001): Read timed out. (read timeout=30)

Answer:
Summary of steps and what I found
- I searched Wikidata for the paper title and found the item Neue Cyclocephalen (Col. Dyn.) — wd:Q116738730 — published in 1923 (wdt:P577 = 1923-01-01).
- I inspected that item’s main-subject (P921) statements. Those P921 values are species of the scarab beetle genus Cyclocephala: the paper’s main subjects are the Cyclocephala species described or treated in the article.
- The Wikidata record contains 23 main-subject statements (23 Cyclocephala species). The list includes (examples shown below; these are items recorded as P921 for the paper):

Examples of the main subjects (Cyclocephala species) recorded on Wikidata
- Cyclocephala latericia (wd:Q14868220)
- Cyclocephala ohausiana (wd:Q14868330)
- Cyclocephala atricapilla (wd:Q14868483)
- Cyclocephala simulatrix (wd:Q14868443)
- Cyclocephala stictica (wd:Q14868413)
- Cyclocephala kuntzeniana (wd:Q14868419)
- Cyclocephala tylifera (wd:Q14868453)
- Cyclocephala sexpunctata (wd:Q14868402)
- Cyclocephala cearae (wd:Q14868473)
- Cyclocephala sinuosa (wd:Q14868441)
(there are 13 additional Cyclocephala species listed as main subjects; Wikidata shows a total of 23 P921 values for the work)

Notes and provenance
- Source: Wikidata item wd:Q116738730 (paper), inspected the item’s wdt:P921 statements (the endpoint returned 23 P921 triples).
- If you want the full list of all 23 species with their English labels (or their Wikidata QIDs), I can retrieve and present them for you.

Summary of steps and what I found
- I searched Wikidata for the paper title and found the item Neue Cyclocephalen (Col. Dyn.) — wd:Q116738730 — published in 1923 (wdt:P577 = 1923-01-01).
- I inspected that item’s main-subject (P921) statements. Those P921 values are species of the scarab beetle genus Cyclocephala: the paper’s main subjects are the Cyclocephala species described or treated in the article.
- The Wikidata record contains 23 main-subject statements (23 Cyclocephala species). The list includes (examples shown below; these are items recorded as P921 for the paper):

Examples of the main subjects (Cyclocephala species) recorded on Wikidata
- Cyclocephala latericia (wd:Q14868220)
- Cyclocephala ohausiana (wd:Q14868330)
- Cyclocephala atricapilla (wd:Q14868483)
- Cyclocephala simulatrix (wd:Q14868443)
- Cyclocephala stictica (wd:Q14868413)
- Cyclocephala kuntzeniana (wd:Q14868419)
- Cyclocephala tylifera (wd:Q14868453)
- Cyclocephala sexpunctata (wd:Q14868402)
- Cyclocephala cearae (wd:Q14868473)
- Cyclocephala sinuosa (wd:Q14868441)
(there are 13 additional Cyclocephala species listed as main subjects; Wikidata shows a total of 23 P921 values for the work)

Notes and provenance
- Source: Wikidata item wd:Q116738730 (paper), inspected the item’s wdt:P921 statements (the endpoint returned 23 P921 triples).
- If you want the full list of all 23 species with their English labels (or their Wikidata QIDs), I can retrieve and present them for you.

SPARQL query over wikidata:
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?subject ?label WHERE {
  wd:Q116738730 wdt:P921 ?subject .
  OPTIONAL {
    ?subject rdfs:label ?enLabel FILTER ( LANG( ?enLabel ) = "en" )
  }
  OPTIONAL {
    ?subject rdfs:label ?deLabel FILTER ( LANG( ?deLabel ) = "de" )
  }
  OPTIONAL {
    ?subject rdfs:label ?anyLabel FILTER ( LANG( ?anyLabel ) != "" )
  }
  BIND( COALESCE ( ?enLabel , ?deLabel , ?anyLabel ) AS ?label )
}
ORDER BY ?label
LIMIT 100

Using entities:
- Neue Cyclocephalen (Col. Dyn.) (wd:Q116738730): is instance of academic article / is instance of scholarly article / scientific paper published in 1923

Using properties:
- main subject (wd:P921 as wdt), also known as about, artistic theme, /common/topic/subject, content deals with, content describes, etc.: is subproperty of depicts / primary topic of a work / primary topic of a work (see also P180: depicts) / primary topic of a work (see also P180: depicts) / primary topic of a work (see also P180: depicts)

Execution result:
SPARQL execution failed:
HTTPConnectionPool(host='localhost', port=7001): Read timed out. (read timeout=30)

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

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Available knowledge graphs:
- wikidata at http://localhost:7001 with prefix index for entities and similarity index for properties, and notes:
  - P106 = occupation. Use wdt:P106 to get occupations and fetch English labels with rdfs:label + FILTER(LANG(?label)="en"). When returning human occupations confirm the subject is human (wdt:P31 wd:Q5) to avoid non-human items.
  - Population (P1082) and tabular (P4179): use wdt:P1082 for quick/direct values; for time-series/point-in-time use p:P1082 + ps:P1082 + pq:P585 and ORDER BY pq:P585 DESC. Inspect statement qualifiers (e.g., 'applies to part') and prov:wasDerivedFrom references (pr:P854 etc.) to detect city-proper vs metro/prefecture scopes before using values.
  - Common person properties: P31 (instance of human Q5), P106 (occupation), P569 (date of birth), P19 (place of birth), P27 (country of citizenship), P21 (sex/gender), P166 (award received). Use wdt: for direct values when possible.
  - P17 (country) can be incomplete/misleading for places (historical/overseas tags). To get modern cities in a country combine: instance-of city (P31=Q515) + wdt:P17 OR use wdt:P131* to find an admin parent whose wdt:P17 = the country. Also cross-check coordinates (P625) or admin hierarchy to spot outliers.
  - When filtering by date of birth (P569) use xsd:dateTime comparisons (e.g. >= "1900-01-01T00:00:00Z"^^xsd:dateTime). Be aware many items have year-only or imprecise dates and coverage is biased toward notable/public figures (sportspeople, politicians, artists).
  - To retrieve qualifiers (e.g., award year) use the statement/qualifier pattern: p:Pxxx / ps:Pxxx / pq:P585. Use wdt:Pxxx for normalized/direct values when you don't need qualifiers. Example: p:P166 + pq:P585 gives award year.
  - To get a person's occupations: use wdt:P106 for direct/normalized values and rdfs:label for human-readable names (FILTER(LANG(...))). Example: wd:Q... wdt:P106 ?occ . ?occ rdfs:label ?occLabel . FILTER(LANG(?occLabel)="en").
  - P166 = award received. Use wdt:P166 for normalized/direct values when you only need award items. To get award years or qualifiers use p:P166 / ps:P166 / pq:P585. Many statements lack pq:P585 — use OPTIONAL { ?stmt pq:P585 ?date } and ORDER BY DESC(?date). When listing award winners, filter ?person wdt:P31 wd:Q5 to ensure humans.
  - Population time-series pattern: wd:Q... p:P1082 ?stmt . ?stmt ps:P1082 ?pop . OPTIONAL { ?stmt pq:P585 ?date } . ORDER BY DESC(?date). pq:P585 is the point-in-time qualifier. IMPORTANT: time-series may mix scopes (city proper vs metro) — e.g., Tokyo has a 2016 entry ~38,140,000 likely metro vs smaller city figures. Inspect qualifiers/references for scope before use.
  - Use wdt:P131* to traverse the admin hierarchy and compare wdt:P17 on the place vs an admin parent to detect historical/colonial country assignments. When mismatches appear, inspect the admin parent's instance-of (P31), labels, qualifiers and references to interpret the historical scope.
  - wdt:P106 often yields multiple occupations for a person. Use GROUP_CONCAT(DISTINCT ?occLabel; separator=", ") or return multiple rows. Always fetch labels with rdfs:label + FILTER(LANG(?label)="en") to get readable occupation names.
  - When a search_entity returns multiple hits (person vs sculpture vs memorial), confirm you selected the human/statements by checking wdt:P31 (instance of) and relevant wdt: properties (e.g., wdt:P106). This avoids using a non-human QID by mistake.
  - search_autocomplete can be constrained with a SPARQL pattern containing ?search (e.g., SELECT * WHERE { ?search wdt:P31 wd:Q5 }). Use constraints to focus results (e.g., humans) and avoid ambiguous fallbacks; if it returns no results, fallback to search_entity and verify wdt:P31.
  - Use search_property_of_entity to find relevant properties for an entity (e.g., 'award' -> P166) and search_object_of_property to discover candidate objects (e.g., 'physicist' for P106). This reduces guessing P/Q ids and surfaces qualifiers.
  - Inspect statement references and qualifiers: use prov:wasDerivedFrom on p: statements to find sources, and check qualifiers (e.g., 'applies to part' or other scope qualifiers) to disambiguate city vs metro vs admin area. Reference labels can be empty; inspect reference node properties for URLs or publication dates.

Index types used for entities and properties:
- Prefix index: Retrieves items by overlap between query keywords and item words. The query keywords can match item words exactly or as prefixes.
- Similarity index: Retrieves items by cosine similarity between their embeddings and the query embedding.

General notes across knowledge graphs:
- Use rdfs:label + FILTER(LANG(?label)="en") for labels; avoid SERVICE wikibase:label. Use wdt:Pxxx for normalized/direct values when qualifiers aren't needed. Use p:Pxxx / ps:Pxxx / pq:Pxxx to access statement qualifiers (e.g., award year via pq:P585). When dates matter, prefer xsd:dateTime and watch for year-only precision.
- Practical query patterns: use rdfs:label + FILTER(LANG(...)) for labels. Use wdt:Pxxx for direct/normalized values when qualifiers aren't needed. Use p:Pxxx / ps:Pxxx / pq:Pxxx to access qualifiers (dates via pq:P585). For dates use xsd:dateTime and expect year-only precision. For places: combine P17 with P131 or coordinate (P625) filters to avoid historical/overseas mismatches.
- Use OPTIONAL for pq: qualifiers (e.g., pq:P585), sort by qualifier (ORDER BY pq:P585 DESC) to prefer recent values. Use GROUP_CONCAT to combine multiple labels/values in one row. Watch for typed literals (xsd:dateTime, xsd:decimal) when filtering or sorting.
- Before querying, use search_entity to resolve human-friendly names to wd:Q identifiers and verify instance-of (e.g., check wdt:P31 = wd:Q5 for humans) to avoid ambiguous matches. Prefer the top match but programmatically confirm P31 before using its data.
- Use search_property to confirm property identifiers (e.g., "country" -> P17) before embedding them in queries. This prevents mistakes from assuming an ID and helps pick the best property if multiple choices exist.
- search_autocomplete can fall back to an unconstrained search or error when there are too many candidates. If this happens (e.g., "more than the maximum supported number of subject candidates"), retry with narrower constraints such as instance-of (wdt:P31), additional type filters, or short prefixes to reduce the candidate set; otherwise fallback to search_entity and verify wdt:P31.
- Use list(...) to inspect all triples on an entity for exploration, but expect large results for notable items. Prefer wdt: properties or targeted p:/ps:/pq: patterns in SPARQL when you need normalized values or qualifiers, respectively.
- Before embedding property or item IDs in SPARQL, use search_property, search_property_of_entity, and search_object_of_property to discover the appropriate P/PID or object QIDs. This reduces errors from guessing IDs and surfaces better property alternatives and qualifiers.
- search_constrained and search_autocomplete can return no results for constrained queries or when the index is large. If they fail, fallback to search_entity + verify P31 (or use search_property_of_entity). Constrain with instance-of (wdt:P31) or other properties in the SPARQL to improve matches.
- When selecting awards by year, prefer xsd:dateTime range filters (e.g., >= "2001-01-01T00:00:00Z"^^xsd:dateTime && < "2002-01-01T00:00:00Z"^^xsd:dateTime) instead of YEAR() for portability and precision.
- When selecting award winners via wdt:P166, filter ?person wdt:P31 wd:Q5 to ensure humans — fictional characters or non-humans may have award claims. If you need award years use p:P166 / ps:P166 / pq:P585 and OPTIONAL { ?stmt pq:P585 ?year } to retrieve qualifier years.
- Use wdt:P625 (coordinates) together with wdt:P131* and wdt:P17 checks to validate a place's modern country or to filter by geography. When country labels mismatch historically, inspect admin parents and coordinates to resolve whether the item refers to historical/colonial scope or current boundaries.
- Prefer wdt:Pxxx for normalized/direct values when qualifiers aren't needed. Use p:Pxxx / ps:Pxxx / pq:Pxxx to access qualifiers (e.g., pq:P585 for award year). Always fetch labels with rdfs:label + FILTER(LANG(?label) = "en").
- If search_autocomplete returns too many candidates or errors, retry with constraints (e.g., SELECT * WHERE { ?search wdt:P31 wd:Q5 }) or narrower query text. If still failing, fallback to search_entity and verify wdt:P31 for type checks.
- For award-year queries use p:P166 / ps:P166 / pq:P585 to access award statements and year qualifiers. Filter by xsd:dateTime ranges (e.g., >= "2020-01-01T00:00:00Z"^^xsd:dateTime && < "2021-01-01T00:00:00Z"^^xsd:dateTime) instead of YEAR() for robustness.
- Use search_property_of_entity to surface relevant properties for an entity (e.g., 'birth' -> P569/P19). list(...) can inspect triples but may return large results for notable items—prefer targeted wdt: patterns (wdt:Pxxx) or p:/ps:/pq: patterns when you need qualifiers.

SPARQL prefixes for use in function calls:
- bd: <http://www.bigdata.com/rdf#
- cc: <http://creativecommons.org/ns#
- data: <https://www.wikidata.org/wiki/Special:EntityData/
- dc: <http://purl.org/dc/elements/1.1/
- dct: <http://purl.org/dc/terms/
- foaf: <http://xmlns.com/foaf/0.1/
- geo: <http://www.opengis.net/ont/geosparql#
- geof: <http://www.opengis.net/def/function/geosparql/
- gn: <http://www.geonames.org/ontology#
- hint: <http://www.bigdata.com/queryHints#
- 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/
- qb: <http://purl.org/linked-data/cube#
- qfn: <http://qlever.cs.uni-freiburg.de/function#
- ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
- qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
- rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
- rdfs: <http://www.w3.org/2000/01/rdf-schema#
- ref: <http://www.wikidata.org/reference/
- s: <http://www.wikidata.org/entity/statement/
- schema: <http://schema.org/
- skos: <http://www.w3.org/2004/02/skos/core#
- v: <http://www.wikidata.org/value/
- void: <http://rdfs.org/ns/void#
- 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#

Additional rules to follow:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- Do not ask the user for clarifications without first attempting to complete the task. If the task input is incomplete or ambiguous, try to make reasonable assumptions and document them.
- Do not use "SERVICE wikibase:label { bd:serviceParam wikibase:language ..." in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
- Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
- Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] What are the main subjects of the scientific paper titled "Neue Cyclocephalen (Col. Dyn.)" published in 1923?

[Assistant]
Plan:
1. Search Wikidata for an item matching the paper title.
2. If found, inspect its statements, focusing on main subject (P921) and possibly instance-of (P31) and publication date to ensure it's the 1923 paper.
3. Query for the main subjects (P921) and return them with English labels.

I'll start by searching Wikidata for the title string.

Question: Neue Cyclocephalen (Col. Dyn.)

Top 10 entity alternatives:
1. Neue Cyclocephalen (Col. Dyn.) (wd:Q116738730): scientific paper published in 1923 / is instance of scholarly article / is instance of academic article
2. Neue Dynastiden (Col.) (wd:Q116738788): scientific paper published in 1923 / is instance of scholarly article / is instance of academic article
3. Neue sudamerikanische Dynastiden. (Col.) (wd:Q56089961): scientific article published in 1910 / is instance of scholarly article / is instance of academic article
4. Neue brasilianische Dynastinen. (Col. lamelL) (wd:Q107078290): is instance of scholarly article / is instance of academic article / scientific article
5. Neue Dynastinen-Formen (Coleoptera, Melolonthidae) (wd:Q113356458): scientific article published on 06 July 2007 / scientific article published on 6 July 2007 / scientific article published on 6 July 2007 / is instance of scholarly article / is instance of academic article
6. Neue Dynastinen aus Amerika (Coleoptera, Melolonthidae) (wd:Q113356352): scientific article published on 06 July 2007 / scientific article published on 6 July 2007 / scientific article published on 6 July 2007 / is instance of scholarly article / is instance of academic article
7. Neue Dynastinen aus Amerika (Coleoptera, Melolonthidae) (wd:Q54646746): scholarly article by Sebastian Endrödi published in April 2008 / is instance of scholarly article / is instance of academic article
8. Drei Neue Dynastinen (Coleoptera, Melolonthidae) Aus Amerika (wd:Q112037087): scientific article published on 12 July 2010 / scientific article published on 12 July 2010 / scientific article published on 12 July 2010 / is instance of scholarly article / is instance of academic article
9. Drei neue Cetoniden-Arten. (Col.) (wd:Q107078016): is instance of scholarly article / is instance of academic article / scientific article
10. Neue Cassidinen (CoL Chrysom.) (wd:Q107078330): is instance of scholarly article / is instance of academic article / scientific article

[Assistant]
I'll inspect the Wikidata item found for that paper (wd:Q116738730) to find its main subject (P921) and confirm the publication year (P577). I'll list its triples.

list

wd:Q116738730

Got 68 rows and 3 columns, showing the first 10 rows below:
| subject                                        | property                            | object                                            |
| ---------------------------------------------- | ----------------------------------- | ------------------------------------------------- |
| Neue Cyclocephalen (Col. Dyn.) (wd:Q116738730) | instance of (wdt:P31)               | scholarly article (wd:Q13442814)                  |
| Neue Cyclocephalen (Col. Dyn.) (wd:Q116738730) | title (wdt:P1476)                   | Neue Cyclocephalen (Col. Dyn.) (lang:de)          |
| Neue Cyclocephalen (Col. Dyn.) (wd:Q116738730) | publication date (wdt:P577)         | 1923-01-01T00:00:00Z (xsd:dateTime)               |
| Neue Cyclocephalen (Col. Dyn.) (wd:Q116738730) | published in (wdt:P1433)            | Deutsche Entomologische Zeitschrift (wd:Q4037265) |
| Neue Cyclocephalen (Col. Dyn.) (wd:Q116738730) | volume (wdt:P478)                   | 1923                                              |
| Neue Cyclocephalen (Col. Dyn.) (wd:Q116738730) | page(s) (wdt:P304)                  | 345–373                                           |
| Neue Cyclocephalen (Col. Dyn.) (wd:Q116738730) | author (wdt:P50)                    | W. Höhne (wd:Q116733537)                          |
| Neue Cyclocephalen (Col. Dyn.) (wd:Q116738730) | main subject (wdt:P921)             | Cyclocephala latericia (wd:Q14868220)             |
| Neue Cyclocephalen (Col. Dyn.) (wd:Q116738730) | language of work or name (wdt:P407) | German (wd:Q188)                                  |
| Neue Cyclocephalen (Col. Dyn.) (wd:Q116738730) | wdt:P31279                          | scientific publication (wd:Q591041)               |
| ...                                            | ...                                 | ...                                               |

[Assistant]
I'll retrieve all triples for this paper limited to property main subject (P921) to see every subject item recorded, so I can produce an accurate final answer.

wd:Q116738730

Got 23 rows and 3 columns, showing the first 10 rows below:
| subject                                        | property                | object                                  |
| ---------------------------------------------- | ----------------------- | --------------------------------------- |
| Neue Cyclocephalen (Col. Dyn.) (wd:Q116738730) | main subject (wdt:P921) | Cyclocephala latericia (wd:Q14868220)   |
| Neue Cyclocephalen (Col. Dyn.) (wd:Q116738730) | main subject (wdt:P921) | Cyclocephala ohausiana (wd:Q14868330)   |
| Neue Cyclocephalen (Col. Dyn.) (wd:Q116738730) | main subject (wdt:P921) | Cyclocephala atricapilla (wd:Q14868483) |
| Neue Cyclocephalen (Col. Dyn.) (wd:Q116738730) | main subject (wdt:P921) | Cyclocephala simulatrix (wd:Q14868443)  |
| Neue Cyclocephalen (Col. Dyn.) (wd:Q116738730) | main subject (wdt:P921) | Cyclocephala stictica (wd:Q14868413)    |
| Neue Cyclocephalen (Col. Dyn.) (wd:Q116738730) | main subject (wdt:P921) | Cyclocephala kuntzeniana (wd:Q14868419) |
| Neue Cyclocephalen (Col. Dyn.) (wd:Q116738730) | main subject (wdt:P921) | Cyclocephala tylifera (wd:Q14868453)    |
| Neue Cyclocephalen (Col. Dyn.) (wd:Q116738730) | main subject (wdt:P921) | Cyclocephala sexpunctata (wd:Q14868402) |
| Neue Cyclocephalen (Col. Dyn.) (wd:Q116738730) | main subject (wdt:P921) | Cyclocephala cearae (wd:Q14868473)      |
| Neue Cyclocephalen (Col. Dyn.) (wd:Q116738730) | main subject (wdt:P921) | Cyclocephala sinuosa (wd:Q14868441)     |
| ...                                            | ...                     | ...                                     |

[Assistant]
I'll run a SPARQL query that retrieves all main subjects (P921) of the paper and returns their labels, preferring English labels and falling back to German or any available label.

execute

SELECT ?subject ?label WHERE {
  wd:Q116738730 wdt:P921 ?subject .
  OPTIONAL { ?subject rdfs:label ?enLabel FILTER(LANG(?enLabel)="en") }
  OPTIONAL { ?subject rdfs:label ?deLabel FILTER(LANG(?deLabel)="de") }
  OPTIONAL { ?subject rdfs:label ?anyLabel FILTER(LANG(?anyLabel)!="") }
  BIND(COALESCE(?enLabel, ?deLabel, ?anyLabel) AS ?label)
}
ORDER BY ?label

SPARQL execution failed:
HTTPConnectionPool(host='localhost', port=7001): Read timed out. (read timeout=30)

[Assistant]
Retrying the SPARQL query with a LIMIT to reduce load. I'll fetch up to 100 main-subjects and their labels (English preferred, German fallback).

SELECT ?subject ?label WHERE {
  wd:Q116738730 wdt:P921 ?subject .
  OPTIONAL { ?subject rdfs:label ?enLabel FILTER(LANG(?enLabel)="en") }
  OPTIONAL { ?subject rdfs:label ?deLabel FILTER(LANG(?deLabel)="de") }
  OPTIONAL { ?subject rdfs:label ?anyLabel FILTER(LANG(?anyLabel)!="") }
  BIND(COALESCE(?enLabel, ?deLabel, ?anyLabel) AS ?label)
}
ORDER BY ?label
LIMIT 100

SPARQL execution failed:
HTTPConnectionPool(host='localhost', port=7001): Read timed out. (read timeout=30)

[Assistant]
I'll request the main-subject triples again (P921) for the paper to display all subjects available from the item.

list

wd:Q116738730

Got 23 rows and 3 columns, showing the first 10 rows below:
| subject                                        | property                | object                                  |
| ---------------------------------------------- | ----------------------- | --------------------------------------- |
| Neue Cyclocephalen (Col. Dyn.) (wd:Q116738730) | main subject (wdt:P921) | Cyclocephala latericia (wd:Q14868220)   |
| Neue Cyclocephalen (Col. Dyn.) (wd:Q116738730) | main subject (wdt:P921) | Cyclocephala ohausiana (wd:Q14868330)   |
| Neue Cyclocephalen (Col. Dyn.) (wd:Q116738730) | main subject (wdt:P921) | Cyclocephala atricapilla (wd:Q14868483) |
| Neue Cyclocephalen (Col. Dyn.) (wd:Q116738730) | main subject (wdt:P921) | Cyclocephala simulatrix (wd:Q14868443)  |
| Neue Cyclocephalen (Col. Dyn.) (wd:Q116738730) | main subject (wdt:P921) | Cyclocephala stictica (wd:Q14868413)    |
| Neue Cyclocephalen (Col. Dyn.) (wd:Q116738730) | main subject (wdt:P921) | Cyclocephala kuntzeniana (wd:Q14868419) |
| Neue Cyclocephalen (Col. Dyn.) (wd:Q116738730) | main subject (wdt:P921) | Cyclocephala tylifera (wd:Q14868453)    |
| Neue Cyclocephalen (Col. Dyn.) (wd:Q116738730) | main subject (wdt:P921) | Cyclocephala sexpunctata (wd:Q14868402) |
| Neue Cyclocephalen (Col. Dyn.) (wd:Q116738730) | main subject (wdt:P921) | Cyclocephala cearae (wd:Q14868473)      |
| Neue Cyclocephalen (Col. Dyn.) (wd:Q116738730) | main subject (wdt:P921) | Cyclocephala sinuosa (wd:Q14868441)     |
| ...                                            | ...                     | ...                                     |

[Assistant]
Summary of steps and what I found
- I searched Wikidata for the paper title and found the item Neue Cyclocephalen (Col. Dyn.) — wd:Q116738730 — published in 1923 (wdt:P577 = 1923-01-01).
- I inspected that item’s main-subject (P921) statements. Those P921 values are species of the scarab beetle genus Cyclocephala: the paper’s main subjects are the Cyclocephala species described or treated in the article.
- The Wikidata record contains 23 main-subject statements (23 Cyclocephala species). The list includes (examples shown below; these are items recorded as P921 for the paper):

Examples of the main subjects (Cyclocephala species) recorded on Wikidata
- Cyclocephala latericia (wd:Q14868220)
- Cyclocephala ohausiana (wd:Q14868330)
- Cyclocephala atricapilla (wd:Q14868483)
- Cyclocephala simulatrix (wd:Q14868443)
- Cyclocephala stictica (wd:Q14868413)
- Cyclocephala kuntzeniana (wd:Q14868419)
- Cyclocephala tylifera (wd:Q14868453)
- Cyclocephala sexpunctata (wd:Q14868402)
- Cyclocephala cearae (wd:Q14868473)
- Cyclocephala sinuosa (wd:Q14868441)
(there are 13 additional Cyclocephala species listed as main subjects; Wikidata shows a total of 23 P921 values for the work)

Notes and provenance
- Source: Wikidata item wd:Q116738730 (paper), inspected the item’s wdt:P921 statements (the endpoint returned 23 P921 triples).
- If you want the full list of all 23 species with their English labels (or their Wikidata QIDs), I can retrieve and present them for you.