Triple

T22784833
Position Surface form Disambiguated ID Type / Status
Subject Michel Houellebecq E563934 entity
Predicate livedIn P75 FINISHED
Object Spain NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Spain | Statement: [Michel Houellebecq, livedIn, Spain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spain
Context triple: [Michel Houellebecq, livedIn, Spain]
  • A. Spain chosen
    Spain is a southwestern European country on the Iberian Peninsula, historically a major global colonial power and now a constitutional monarchy and member of the European Union.
  • B. España
    "España" is a popular orchestral waltz by French composer Émile Waldteufel, inspired by Spanish musical themes and known for its lively, dance-like character.
  • C. Spanyolit
    Spanyolit is a variant name for Judezmo (Ladino), the historical Judeo-Spanish language spoken by Sephardic Jewish communities, particularly in the Eastern Mediterranean and the Balkans.
  • D. Spain and Andorra
    Spain and Andorra are neighboring countries on the Iberian Peninsula in southwestern Europe, sharing a mountainous border in the Pyrenees.
  • E. Portugal and Spain
    Portugal and Spain are neighboring Iberian countries in southwestern Europe known for their rich maritime histories, distinct Romance languages, and influential cultural and imperial legacies.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e2455500788190b4b33030461f3bbd completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17c30b4dc8190a5e23f4ce7feb300 completed April 29, 2026, 3:34 a.m.
Created at: April 17, 2026, 3:29 p.m.