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 ?article ( GROUP_CONCAT( DISTINCT CONCAT ( STR( ?lab ) , " (" , LANG( ?lab ) , ")" ) ; separator = "; " ) AS ?otherLabels ) WHERE {
  ?article wdt:P1433 wd:Q15817086 .
  ?article wdt:P31 ?type .
  ?type wdt:P279 * wd:Q13442814 .
  OPTIONAL {
    ?article rdfs:label ?labelEn .
    FILTER ( LANG( ?labelEn ) = "en" )
  }
  FILTER ( ! BOUND( ?labelEn ) ) OPTIONAL {
    ?article rdfs:label ?lab .
    FILTER ( LANG( ?lab ) != "en" )
  }
}
GROUP BY ?article
ORDER BY ?article

Using entities:
- scholarly article (wd:Q13442814), also known as academic article, academic paper, academic papers, article, article in science, etc.: is subclass of academic work / is subclass of scientific literature / is subclass of Scientific literature / is subclass of article / is subclass of magazine article / is subclass of research / is subclass of scientific publication / article in an academic publication, usually peer reviewed / article in an academic publication, usually peer reviewed
- Geosphere (wd:Q15817086): is instance of scientific journal / is instance of academic journal / is instance of open-access journal / journal

Using properties:
- published in (wd:P1433 as wdt), also known as album, article of, chapter of, essay of, music album, etc.: is subproperty of part of / larger work that a given work was published in / larger work that a given work was published in, like a journal, a website, a collection, a book or a music album
- 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

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

Explanation:
I could not execute the SPARQL query because the Wikidata SPARQL endpoint at http://localhost:7001 timed out on execution (HTTP read timeout). I constructed a SPARQL query that should return the scholarly articles published in the journal Geosphere (wd:Q15817086) that do not have an English rdfs:label; however, repeated attempts to run the query resulted in endpoint timeouts. Possible causes: the local QLever endpoint is temporarily unavailable, overloaded, or the query is expensive on the server. I therefore cannot confirm the actual items without a successful query execution.

While I cannot retrieve the results right now, here is my best SPARQL query attempt (ready to run on the Wikidata KG when the endpoint is available):

SELECT ?article (GROUP_CONCAT(DISTINCT CONCAT(STR(?lab), " (", LANG(?lab), ")"); separator="; ") AS ?otherLabels) WHERE {
  ?article wdt:P1433 wd:Q15817086 .
  ?article wdt:P31 ?type .
  ?type wdt:P279* wd:Q13442814 .
  OPTIONAL { ?article rdfs:label ?labelEn . FILTER(LANG(?labelEn) = "en") }
  FILTER(!BOUND(?labelEn))
  OPTIONAL { ?article rdfs:label ?lab . FILTER(LANG(?lab) != "en") }
}
GROUP BY ?article
ORDER BY ?article

Notes and rationale:
- I used wdt:P1433 (published in) and verified the journal Geosphere is wd:Q15817086.
- I restricted instances to types that are subclasses of scholarly article (wd:Q13442814) by matching the article's P31 ?type and requiring ?type wdt:P279* wd:Q13442814. This handles both direct instances and types that are subclasses of scholarly article.
- I filtered out any items that have an English rdfs:label (OPTIONAL + FILTER(!BOUND(?labelEn))).
- I included GROUP_CONCAT of non-English labels to give context for each item (label with language tag) but the required output is the item IRIs; the query returns the IRIs as ?article and the concatenated other-language labels as ?otherLabels.

If you can (a) retry later or (b) allow me to run the query against the public Wikidata SPARQL endpoint instead of the local endpoint, I can execute it and return the list of articles. Alternatively, I can modify the query to run incrementally (e.g., by date ranges or LIMIT/OFFSET) to reduce server load if that would help.

I could not execute the SPARQL query because the Wikidata SPARQL endpoint at http://localhost:7001 timed out on execution (HTTP read timeout). I constructed a SPARQL query that should return the scholarly articles published in the journal Geosphere (wd:Q15817086) that do not have an English rdfs:label; however, repeated attempts to run the query resulted in endpoint timeouts. Possible causes: the local QLever endpoint is temporarily unavailable, overloaded, or the query is expensive on the server. I therefore cannot confirm the actual items without a successful query execution.

While I cannot retrieve the results right now, here is my best SPARQL query attempt (ready to run on the Wikidata KG when the endpoint is available):

SELECT ?article (GROUP_CONCAT(DISTINCT CONCAT(STR(?lab), " (", LANG(?lab), ")"); separator="; ") AS ?otherLabels) WHERE {
  ?article wdt:P1433 wd:Q15817086 .
  ?article wdt:P31 ?type .
  ?type wdt:P279* wd:Q13442814 .
  OPTIONAL { ?article rdfs:label ?labelEn . FILTER(LANG(?labelEn) = "en") }
  FILTER(!BOUND(?labelEn))
  OPTIONAL { ?article rdfs:label ?lab . FILTER(LANG(?lab) != "en") }
}
GROUP BY ?article
ORDER BY ?article

Notes and rationale:
- I used wdt:P1433 (published in) and verified the journal Geosphere is wd:Q15817086.
- I restricted instances to types that are subclasses of scholarly article (wd:Q13442814) by matching the article's P31 ?type and requiring ?type wdt:P279* wd:Q13442814. This handles both direct instances and types that are subclasses of scholarly article.
- I filtered out any items that have an English rdfs:label (OPTIONAL + FILTER(!BOUND(?labelEn))).
- I included GROUP_CONCAT of non-English labels to give context for each item (label with language tag) but the required output is the item IRIs; the query returns the IRIs as ?article and the concatenated other-language labels as ?otherLabels.

If you can (a) retry later or (b) allow me to run the query against the public Wikidata SPARQL endpoint instead of the local endpoint, I can execute it and return the list of articles. Alternatively, I can modify the query to run incrementally (e.g., by date ranges or LIMIT/OFFSET) to reduce server load if that would help.

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 ?article ( GROUP_CONCAT( DISTINCT CONCAT ( STR( ?lab ) , " (" , LANG( ?lab ) , ")" ) ; separator = "; " ) AS ?otherLabels ) WHERE {
  ?article wdt:P1433 wd:Q15817086 .
  ?article wdt:P31 ?type .
  ?type wdt:P279 * wd:Q13442814 .
  OPTIONAL {
    ?article rdfs:label ?labelEn .
    FILTER ( LANG( ?labelEn ) = "en" )
  }
  FILTER ( ! BOUND( ?labelEn ) ) OPTIONAL {
    ?article rdfs:label ?lab .
    FILTER ( LANG( ?lab ) != "en" )
  }
}
GROUP BY ?article
ORDER BY ?article

Using entities:
- scholarly article (wd:Q13442814), also known as academic article, academic paper, academic papers, article, article in science, etc.: is subclass of academic work / is subclass of scientific literature / is subclass of Scientific literature / is subclass of article / is subclass of magazine article / is subclass of research / is subclass of scientific publication / article in an academic publication, usually peer reviewed / article in an academic publication, usually peer reviewed
- Geosphere (wd:Q15817086): is instance of scientific journal / is instance of academic journal / is instance of open-access journal / journal

Using properties:
- published in (wd:P1433 as wdt), also known as album, article of, chapter of, essay of, music album, etc.: is subproperty of part of / larger work that a given work was published in / larger work that a given work was published in, like a journal, a website, a collection, a book or a music album
- 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:
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] Which scholarly articles published in the journal Geosphere do not have an English label?

[Assistant]
I'll first locate the Wikidata item for the journal "Geosphere", and identify the property used for "published in" and the item for "scholarly article" (to restrict results to articles). I'll search the knowledge graph for these entities/properties and verify their identifiers before building the final SPARQL query. I'll start by searching for the Geosphere item.

Question: Geosphere journal

Top 10 entity alternatives:
1. magazine (wd:Q41298, matched via journal), also known as glossy, journal, magazines, quarterly, serial: publication that is typically distributed at a regular interval / is subclass of print-native publication / is subclass of communication medium / is instance of type of publication / is instance of type of mass media / is subclass of written work / is subclass of periodical / is subclass of mass media / is subclass of newspaper / periodical publication / is subclass of medium
2. diary (wd:Q185598, matched via journal), also known as diaries, journal, journaling: personal written record with discrete entries arranged by date / is subclass of personal testimonial / is instance of literary genre / is subclass of literary work / is instance of book form / is subclass of notebook / is subclass of lifelog
3. The Wall Street Journal (wd:Q164746, matched via The Journal), also known as The Journal, The Wall Street journal. Eastern edition, Wall Street Journal, Wall Street journal (Eastern ed.), WSJ: American business-focused daily newspaper / is instance of scientific journal / is instance of business newspaper / is instance of daily newspaper / newspaper
4. JSTOR (wd:Q1420342, matched via Journal STORage), also known as Journal STORage, jstor, jstor.org: distributor of eBooks and other digital media / is instance of digital library / is instance of organization / is instance of organisation
5. article (wd:Q191067, matched via journal article), also known as journal article, periodical article, serial article: text that forms an independent part of a publication / is instance of type of publication / is subclass of part of a work / is instance of literary form / is subclass of written work / is subclass of publication / is subclass of document / is subclass of text
6. scientific journal (wd:Q5633421), also known as journal, journals, science journal, scientific journals, scientific magazine: periodical journal publishing scientific research / periodical journal publishing scientific research / periodical journal publishing scientific research / periodical journal publishing scientific research / is subclass of scientific publication / is subclass of academic journal / is instance of magazine genre / is subclass of trade magazine / is subclass of Trade magazine / is subclass of journal
7. geosphere (wd:Q241284): collective name for the lithosphere, the hydrosphere, the cryosphere, and the atmosphere / is subclass of shell of an astronomical object / is subclass of geographical entity / is subclass of geographic entity / is subclass of zone
8. government gazette (wd:Q2065227, matched via official journal), also known as Amtsblatt, gazette, legal gazette, official bulletin, official diary, etc.: periodical publication authorised to publish public or legal notices / is subclass of official publication / is instance of newspaper genre / is subclass of periodical / is subclass of newspaper
9. The Astrophysical Journal (wd:Q598789, matched via Astrophysical Journal), also known as Ap.J., Astrophysical Journal, Astrophys. J.: is instance of open-access journal / is instance of scientific journal / scientific journal (0004-637X)
10. literary magazine (wd:Q1368848, matched via literary journal), also known as literary journal: is subclass of cultural magazine / periodical devoted to literature / is instance of magazine genre / is subclass of trade magazine / is subclass of Trade magazine

[Assistant]
I'll try a second, narrower search query to find the journal "Geosphere (journal)".

Question: Geosphere (journal)

Top 10 entity alternatives:
1. magazine (wd:Q41298, matched via journal), also known as glossy, journal, magazines, quarterly, serial: publication that is typically distributed at a regular interval / is subclass of print-native publication / is subclass of communication medium / is instance of type of publication / is instance of type of mass media / is subclass of written work / is subclass of periodical / is subclass of mass media / is subclass of newspaper / periodical publication / is subclass of medium
2. diary (wd:Q185598, matched via journal), also known as diaries, journal, journaling: personal written record with discrete entries arranged by date / is subclass of personal testimonial / is instance of literary genre / is subclass of literary work / is instance of book form / is subclass of notebook / is subclass of lifelog
3. The Wall Street Journal (wd:Q164746, matched via The Journal), also known as The Journal, The Wall Street journal. Eastern edition, Wall Street Journal, Wall Street journal (Eastern ed.), WSJ: American business-focused daily newspaper / is instance of scientific journal / is instance of business newspaper / is instance of daily newspaper / newspaper
4. JSTOR (wd:Q1420342, matched via Journal STORage), also known as Journal STORage, jstor, jstor.org: distributor of eBooks and other digital media / is instance of digital library / is instance of organization / is instance of organisation
5. article (wd:Q191067, matched via journal article), also known as journal article, periodical article, serial article: text that forms an independent part of a publication / is instance of type of publication / is subclass of part of a work / is instance of literary form / is subclass of written work / is subclass of publication / is subclass of document / is subclass of text
6. scientific journal (wd:Q5633421), also known as journal, journals, science journal, scientific journals, scientific magazine: periodical journal publishing scientific research / periodical journal publishing scientific research / periodical journal publishing scientific research / periodical journal publishing scientific research / is subclass of scientific publication / is subclass of academic journal / is instance of magazine genre / is subclass of trade magazine / is subclass of Trade magazine / is subclass of journal
7. geosphere (wd:Q241284): collective name for the lithosphere, the hydrosphere, the cryosphere, and the atmosphere / is subclass of shell of an astronomical object / is subclass of geographical entity / is subclass of geographic entity / is subclass of zone
8. government gazette (wd:Q2065227, matched via official journal), also known as Amtsblatt, gazette, legal gazette, official bulletin, official diary, etc.: periodical publication authorised to publish public or legal notices / is subclass of official publication / is instance of newspaper genre / is subclass of periodical / is subclass of newspaper
9. The Astrophysical Journal (wd:Q598789, matched via Astrophysical Journal), also known as Ap.J., Astrophysical Journal, Astrophys. J.: is instance of open-access journal / is instance of scientific journal / scientific journal (0004-637X)
10. literary magazine (wd:Q1368848, matched via literary journal), also known as literary journal: is subclass of cultural magazine / periodical devoted to literature / is instance of magazine genre / is subclass of trade magazine / is subclass of Trade magazine

[Assistant]
I'll search for the property used for "published in" so I can use the correct property in queries (likely P1433). I'll search the property index for "published in".

Question: published in

Top 10 property alternatives:
1. published in (wd:P1433 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn), also known as album, article of, chapter of, essay of, music album, etc.: larger work that a given work was published in, like a journal, a website, a collection, a book or a music album / larger work that a given work was published in / is subproperty of part of
2. platform (wd:P400 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn, matched via published on), also known as computing platform, environment, game platform, hardware, platforms, etc.: platform for which a work has been developed or released / specific platform version of a software developed / platform for which a work was developed or released, or the specific platform version of a software product
3. place of publication (wd:P291 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn, matched via published from), also known as country (published in), location of publication, printed at, printed in, publication city, etc.: geographical place of publication of the edition (use 1st edition when referring to works) / geographical place of publication of the edition (use 1st edition when referring to works) / geographical place of publication of the edition (use 1st edition when referring to works) / is subproperty of significant place
4. publisher (wd:P123 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn, matched via published by), also known as board game publisher, book publisher, comic book publisher, comic publisher, music publisher, etc.: organization or person responsible for publishing books, periodicals, printed music, podcasts, games or software / organisation or person responsible for publishing books, periodicals, games or software / organization or person responsible for publishing books, periodicals, games or software
5. publication date (wd:P577 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn, matched via was published in), also known as air date, airdate, be published during, be published in, broadcast date, etc.: date or point in time when a work was first published or released / date or point in time a work is first published or released / date or point in time a work is first published or released / is subproperty of point in time
6. house publication (wd:P2813 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn, matched via publication), 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
7. review score by (wd:P447 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn, matched via publication), also known as publication, reviewer, score issuer, scorer, P447: issuer of a review score / issuer of a review score
8. announcement date (wd:P6949 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn, matched via published), also known as announced in, announced on, date, date announced, date of announcement, etc.: time of the first public presentation of a subject by the creator, of information by the media / is subproperty of point in time
9. printed by (wd:P872 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn), also known as printer, P872: organization or person who printed the creative work (if different from "publisher")
10. issuing agent of work (wd:P9901 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn, matched via official publication of), also known as house journal of, house organ of, house publication of, issued by, issuer, etc.: organization, agency, or other entity responsible for issuing ... entity; distinct from commercial publisher of the resource

[Assistant]
I'll search for the journal using alternative queries: "Geosphere journal", "Geosphere (GSA)", and just "Geosphere" but restrict results to instances of scientific journal using search_constrained. First I'll try a plain entity search for "Geosphere".

Question: Geosphere

Top 10 entity alternatives:
1. geosphere (wd:Q241284): collective name for the lithosphere, the hydrosphere, the cryosphere, and the atmosphere / is subclass of shell of an astronomical object / is subclass of geographical entity / is subclass of geographic entity / is subclass of zone
2. Geosphere (wd:Q15817086): is instance of open-access journal / is instance of scientific journal / is instance of academic journal / journal
3. GeoSphere Austria (wd:Q116189368): is instance of governmental meteorological service / meteorological service of Austria (since 2023) / is instance of meteorological service / is instance of government department / is instance of government agency
4. Sun and Geosphere (wd:Q131312884), also known as Sun and geosphere: the international journal of research and applications: is instance of scientific journal / scientific journal
5. ENWEST GEOSPHERE──ANTHROPOSPHE (wd:Q98517768): scientific article published in January 1997 / scientific article published in January 1997 / is instance of scholarly article / is instance of academic article / article published in 1997
6. International Geosphere-Biosphere Programme (wd:Q1354623), also known as IGBP: is instance of international non-governmental organization / is instance of international non-governmental organisation / organization
7. Institute of Geosphere Dynamics (wd:Q4201496), also known as Federal State Institution of Science Institute of Geosphere Dynamics, Russian Academy of Sciences: is instance of institute of the Russian Academy of Sciences / research institute in Moscow, Russia
8. Meteotsunami Manifestations in Geospheres (wd:Q127248250): is instance of scholarly article / is instance of academic article / scholarly article
9. Geosphere fluctuations and global change—Opening (wd:Q116060232): scientific article published in December 1990 / scientific article published in December 1990 / is instance of scholarly article / is instance of academic article / article
10. The international geosphere-biosphere program (wd:Q80913637): is instance of scholarly article / is instance of academic article / scientific article

[Assistant]
I'll search for the class used for scholarly/scholarly article items (e.g., "scholarly article", "academic article", "scientific article") so I can restrict results to articles. I'll search for "scholarly article" and "scientific article" and verify the QIDs.

Question: scholarly article

Top 10 entity alternatives:
1. scholarly article (wd:Q13442814), also known as academic article, academic paper, academic papers, article, article in science, etc.: article in an academic publication, usually peer reviewed / article in an academic publication, usually peer reviewed / is subclass of scientific publication / is subclass of scientific literature / is subclass of Scientific literature / is subclass of magazine article / is subclass of academic work / is subclass of research / is subclass of article
2. Nine axes of merit for technosignature searches (wd:Q122939269, matched via scholarly article), also known as scholarly article: scientific article published on 19 November 2019 / scientific article published on 19 November 2019 / scientific article published on 19 November 2019 / is instance of scholarly article / is instance of academic article
3. The importance of peer group ("crowd") affiliation in adolescence (wd:Q126361512, matched via scholarly article), also known as scholarly article: is instance of academic journal article / is instance of مقال  في مجلة اكاديمية
4. News censorship in online social networks: A study of circumvention in the commentsphere (wd:Q116784910, matched via scholarly article), also known as scholarly article: scientific article published on 3 June 2016 / scientific article published on 3 June 2016 / scientific article published on 3 June 2016 / is instance of scholarly article / is instance of academic article
5. On the Riemann hypothesis for self-dual weight enumerators of genera three and four (wd:Q114014395, matched via scholarly article), also known as scholarly article: scientific article published in June 2021 / scientific article published in June 2021 / scientific article published in 2021 / scientific article published in 2021 / is instance of scholarly article / is instance of academic article
6. academic journal article (wd:Q18918145, matched via scholarly article), also known as academic article, academic paper, journal article, scholarly article: article published in an academic journal / is instance of type of publication / is subclass of scholarly article / is subclass of academic article / is subclass of academic work / مقال منشور في مجلة اكاديمية
7. More rain, more virus (wd:Q60067355, matched via Scholarly article), also known as Scholarly article: scientific article published in Nature / is instance of scholarly article / is instance of academic article
8. The possibility of converting lipids into carbohydrates in man. (wd:Q78576861, matched via scholarly article), also known as scholarly article: scientific article published on 01 June 1954 / scientific article published in June 1954 / scientific article published in June 1954 / is instance of scholarly article / is instance of academic article
9. fictional scholarly article (wd:Q116527851), also known as fictional scientific article: scientific article in a work of fiction / is subclass of fictional creative work
10. medical scholarly article (wd:Q82969330), also known as medical journal article: scholarly article in the field of medicine, often published in a medical journal / is subclass of scholarly article / is subclass of academic article

[Assistant]
I'll run a SPARQL SELECT query that:
- finds items with published in (wdt:P1433) = Geosphere (wd:Q15817086),
- restricts instances to those whose P31 (instance of) is (or whose P31 type is subclass of) scholarly article (wd:Q13442814),
- filters out items that have an English rdfs:label,
- returns the item IRIs and any non-English labels for context.

I'll execute this query on the Wikidata KG to get the actual list.

execute

SELECT ?article (GROUP_CONCAT(DISTINCT CONCAT(STR(?lab), " (", LANG(?lab), ")"); separator="; ") AS ?otherLabels) WHERE {
  ?article wdt:P1433 wd:Q15817086 .
  ?article wdt:P31 ?type .
  ?type wdt:P279* wd:Q13442814 .
  OPTIONAL { ?article rdfs:label ?labelEn . FILTER(LANG(?labelEn) = "en") }
  FILTER(!BOUND(?labelEn))
  OPTIONAL { ?article rdfs:label ?lab . FILTER(LANG(?lab) != "en") }
}
GROUP BY ?article
ORDER BY ?article

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

[Assistant]
The endpoint timed out. I'll retry the same query (same logic) to fetch the list; if it times out again I'll try a more incremental approach (e.g., LIMIT, then expand).

SELECT ?article (GROUP_CONCAT(DISTINCT CONCAT(STR(?lab), " (", LANG(?lab), ")"); separator="; ") AS ?otherLabels) WHERE {
  ?article wdt:P1433 wd:Q15817086 .
  ?article wdt:P31 ?type .
  ?type wdt:P279* wd:Q13442814 .
  OPTIONAL { ?article rdfs:label ?labelEn . FILTER(LANG(?labelEn) = "en") }
  FILTER(!BOUND(?labelEn))
  OPTIONAL { ?article rdfs:label ?lab . FILTER(LANG(?lab) != "en") }
}
GROUP BY ?article
ORDER BY ?article
LIMIT 100

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

[Assistant]
cancel

Explanation:
I could not execute the SPARQL query because the Wikidata SPARQL endpoint at http://localhost:7001 timed out on execution (HTTP read timeout). I constructed a SPARQL query that should return the scholarly articles published in the journal Geosphere (wd:Q15817086) that do not have an English rdfs:label; however, repeated attempts to run the query resulted in endpoint timeouts. Possible causes: the local QLever endpoint is temporarily unavailable, overloaded, or the query is expensive on the server. I therefore cannot confirm the actual items without a successful query execution.

While I cannot retrieve the results right now, here is my best SPARQL query attempt (ready to run on the Wikidata KG when the endpoint is available):

SELECT ?article (GROUP_CONCAT(DISTINCT CONCAT(STR(?lab), " (", LANG(?lab), ")"); separator="; ") AS ?otherLabels) WHERE {
  ?article wdt:P1433 wd:Q15817086 .
  ?article wdt:P31 ?type .
  ?type wdt:P279* wd:Q13442814 .
  OPTIONAL { ?article rdfs:label ?labelEn . FILTER(LANG(?labelEn) = "en") }
  FILTER(!BOUND(?labelEn))
  OPTIONAL { ?article rdfs:label ?lab . FILTER(LANG(?lab) != "en") }
}
GROUP BY ?article
ORDER BY ?article

Notes and rationale:
- I used wdt:P1433 (published in) and verified the journal Geosphere is wd:Q15817086.
- I restricted instances to types that are subclasses of scholarly article (wd:Q13442814) by matching the article's P31 ?type and requiring ?type wdt:P279* wd:Q13442814. This handles both direct instances and types that are subclasses of scholarly article.
- I filtered out any items that have an English rdfs:label (OPTIONAL + FILTER(!BOUND(?labelEn))).
- I included GROUP_CONCAT of non-English labels to give context for each item (label with language tag) but the required output is the item IRIs; the query returns the IRIs as ?article and the concatenated other-language labels as ?otherLabels.

If you can (a) retry later or (b) allow me to run the query against the public Wikidata SPARQL endpoint instead of the local endpoint, I can execute it and return the list of articles. Alternatively, I can modify the query to run incrementally (e.g., by date ranges or LIMIT/OFFSET) to reduce server load if that would help.

SELECT ?article (GROUP_CONCAT(DISTINCT CONCAT(STR(?lab), " (", LANG(?lab), ")"); separator="; ") AS ?otherLabels) WHERE {
  ?article wdt:P1433 wd:Q15817086 .
  ?article wdt:P31 ?type .
  ?type wdt:P279* wd:Q13442814 .
  OPTIONAL { ?article rdfs:label ?labelEn . FILTER(LANG(?labelEn) = "en") }
  FILTER(!BOUND(?labelEn))
  OPTIONAL { ?article rdfs:label ?lab . FILTER(LANG(?lab) != "en") }
}
GROUP BY ?article
ORDER BY ?article


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
SELECT DISTINCT ?person ?personLabel ?dob ?birthYear ?eloValue ?ratingDate WHERE {
  ?person wdt:P31 wd:Q5 .
  ?person wdt:P569 ?dob .
  BIND( xsd:integer ( SUBSTR( STR( ?dob ) , 1 , 4 ) ) AS ?birthYear ) .
  ?person p:P1087 ?eloStmt .
  ?eloStmt ps:P1087 ?eloValue .
  ?eloStmt pq:P585 ?ratingDate .
  FILTER ( ?ratingDate >= "2007-04-01T00:00:00Z" ^^ xsd:dateTime && ?ratingDate < "2007-05-01T00:00:00Z" ^^ xsd:dateTime ) .
  FILTER ( xsd:integer ( ?eloValue ) = ?birthYear ) .
  OPTIONAL {
    ?person rdfs:label ?personLabel .
    FILTER ( LANG( ?personLabel ) = "en" )
  }
}
ORDER BY ?person

Using entities:
- 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:
- Elo rating (wd:P1087 as p/ps), also known as P1087: quantitative measure of one's game-playing ability, particularly in chess / quantitative measure of one's game-playing ability, particularly in classical chess
- 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
- date of birth (wd:P569 as wdt), also known as birth date, birthdate, birth year, birthyear, born, etc.: is subproperty of date of foundation or creation / is subproperty of inception / date on which the subject was born / date on which the subject was born / date on which the subject was born
- point in time (wd:P585 as pq), also known as as of, at time, by date, date, during, etc.: date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241) / time and date something took place, existed or a statement was true / time and date something took place, existed or a statement was true / time and date something took place, existed or a statement was true

Answer:
Result: One individual matches the condition.

- Alexandr Ponomarenko (wd:Q27580000)
  - Date of birth: 1993-04-15
  - Birth year: 1993
  - Elo rating (point-in-time 2007-04-01): 1993

SPARQL query used (executed above) returned the item and these values.

Result: One individual matches the condition.

- Alexandr Ponomarenko (wd:Q27580000)
  - Date of birth: 1993-04-15
  - Birth year: 1993
  - Elo rating (point-in-time 2007-04-01): 1993

SPARQL query used (executed above) returned the item and these values.

SPARQL query over wikidata:
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
SELECT DISTINCT ?person ?personLabel ?dob ?birthYear ?eloValue ?ratingDate WHERE {
  ?person wdt:P31 wd:Q5 .
  ?person wdt:P569 ?dob .
  BIND( xsd:integer ( SUBSTR( STR( ?dob ) , 1 , 4 ) ) AS ?birthYear ) .
  ?person p:P1087 ?eloStmt .
  ?eloStmt ps:P1087 ?eloValue .
  ?eloStmt pq:P585 ?ratingDate .
  FILTER ( ?ratingDate >= "2007-04-01T00:00:00Z" ^^ xsd:dateTime && ?ratingDate < "2007-05-01T00:00:00Z" ^^ xsd:dateTime ) .
  FILTER ( xsd:integer ( ?eloValue ) = ?birthYear ) .
  OPTIONAL {
    ?person rdfs:label ?personLabel .
    FILTER ( LANG( ?personLabel ) = "en" )
  }
}
ORDER BY ?person

Using entities:
- 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:
- Elo rating (wd:P1087 as p/ps), also known as P1087: quantitative measure of one's game-playing ability, particularly in chess / quantitative measure of one's game-playing ability, particularly in classical chess
- 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
- date of birth (wd:P569 as wdt), also known as birth date, birthdate, birth year, birthyear, born, etc.: is subproperty of date of foundation or creation / is subproperty of inception / date on which the subject was born / date on which the subject was born / date on which the subject was born
- point in time (wd:P585 as pq), also known as as of, at time, by date, date, during, etc.: date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241) / time and date something took place, existed or a statement was true / time and date something took place, existed or a statement was true / time and date something took place, existed or a statement was true

Execution result:
Got 1 row and 6 columns:
| person                              | personLabel                    | dob                                 | birthYear      | eloValue           | ratingDate                          |
| ----------------------------------- | ------------------------------ | ----------------------------------- | -------------- | ------------------ | ----------------------------------- |
| Alexandr Ponomarenko (wd:Q27580000) | Alexandr Ponomarenko (lang:en) | 1993-04-15T00:00:00Z (xsd:dateTime) | 1993 (xsd:int) | 1993 (xsd:decimal) | 2007-04-01T00:00:00Z (xsd:dateTime) |

[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] Which individuals had an Elo rating in April 2007 that is exactly their year of birth, and what were their Elo ratings and dates of birth?

[Assistant]
Plan:
1. Find the Wikidata property for "Elo rating" (and related terms).
2. Identify how Elo ratings are represented: likely as statements p:P... with qualifiers for dates (point-in-time pq:P585) or using direct wdt:P... (wdt:P... may be normalized). We need the rating value and its date in April 2007.
3. Query humans (wdt:P31 wd:Q5) with an Elo rating statement whose value equals the person's birth year (extract year from P569) and whose point-in-time (pq:P585) falls in April 2007 (i.e., date >= 2007-04-01 and <2007-05-01).
4. Build and test the SPARQL query.

I'll first search for the property for "Elo" / "Elo rating".

Question: Elo rating

Top 10 property alternatives:
1. Elo rating (wd:P1087 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn), also known as P1087: quantitative measure of one's game-playing ability, particularly in classical chess / quantitative measure of one's game-playing ability, particularly in chess
2. PEGI rating (wd:P908 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn), also known as Pan European Game Information rating, P908: Continental European video game rating system / European video game content rating system
3. Qualis rank (wd:P9683 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn, matched via Qualis ranking), also known as Qualis ranking, P9683: rank of an academic journal on the Qualis/CAPES system
4. ranking (wd:P1352 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn), also known as peak position, place, placing, position, rank, etc.: subject's ordinal position as qualitatively evaluated relative to other members of a group / the subject's position in the specified rank
5. Women's World Golf Rankings player ID (wd:P12018 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn, matched via Rolex Rankings player ID), also known as Rolex Rankings player ID, WWGR player ID, P12018: identifier in Women's World Golf Rankings
6. OlimpBase FIDE ratings ID (wd:P11967 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn), also known as P11967: Elo rating ID on OlimpBase
7. IMDA rating (wd:P5201 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn), also known as IMDA classification, P5201: rating in the Singaporean film and video game rating system
8. dan/kyu rank (wd:P468 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn, matched via renju rank), also known as go rank, judo rank, kendo rank, renju rank, shogi rank, etc.: rank system used in several board games (e.g. go, shogi, renju), martial arts (e.g. judo, kendo, wushu) and some other games
9. ECF rating code (wd:P12553 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn, matched via English Chess Federation rating code), also known as English Chess Federation rating code, P12553: identifier for a chess player issued by the English Chess Federation / identifier for a chess player issued by the English Chess Federation
10. GameFAQs game ID (wd:P4769 as pr/psn/wdtn/ps/prn/p/pq/pqv/wdt/prv/psv/pqn, matched via GameRankings game ID), also known as GameRankings game ID, P4769: identifier for a game on GameFAQs

[Assistant]
I'll run a SPARQL query that finds human items (wd:Q5) with a P1087 (Elo rating) statement that has a point-in-time qualifier in April 2007, and where the numeric Elo equals the person's year of birth (extracted from P569). I will explain the query after the execution. Now I'll execute the query.

execute

SELECT DISTINCT ?person ?personLabel ?dob ?birthYear ?eloValue ?ratingDate WHERE {
  ?person wdt:P31 wd:Q5 .
  ?person wdt:P569 ?dob .
  BIND(xsd:integer(SUBSTR(STR(?dob), 1, 4)) AS ?birthYear) .

  ?person p:P1087 ?eloStmt .
  ?eloStmt ps:P1087 ?eloValue .
  ?eloStmt pq:P585 ?ratingDate .

  FILTER(?ratingDate >= "2007-04-01T00:00:00Z"^^xsd:dateTime && ?ratingDate < "2007-05-01T00:00:00Z"^^xsd:dateTime) .
  FILTER(xsd:integer(?eloValue) = ?birthYear) .

  OPTIONAL { ?person rdfs:label ?personLabel . FILTER(LANG(?personLabel) = "en") }
}
ORDER BY ?person

[Assistant]
After running the query I found a single match. I'll return the final SPARQL query I executed and the answer derived from its results.

answer

SELECT DISTINCT ?person ?personLabel ?dob ?birthYear ?eloValue ?ratingDate WHERE {
  ?person wdt:P31 wd:Q5 .
  ?person wdt:P569 ?dob .
  BIND(xsd:integer(SUBSTR(STR(?dob), 1, 4)) AS ?birthYear) .

  ?person p:P1087 ?eloStmt .
  ?eloStmt ps:P1087 ?eloValue .
  ?eloStmt pq:P585 ?ratingDate .

  FILTER(?ratingDate >= "2007-04-01T00:00:00Z"^^xsd:dateTime && ?ratingDate < "2007-05-01T00:00:00Z"^^xsd:dateTime) .
  FILTER(xsd:integer(?eloValue) = ?birthYear) .

  OPTIONAL { ?person rdfs:label ?personLabel . FILTER(LANG(?personLabel) = "en") }
}
ORDER BY ?person

Answer:
Result: One individual matches the condition.

- Alexandr Ponomarenko (wd:Q27580000)
  - Date of birth: 1993-04-15
  - Birth year: 1993
  - Elo rating (point-in-time 2007-04-01): 1993

SPARQL query used (executed above) returned the item and these values.