Triple

T18983276
Position Surface form Disambiguated ID Type / Status
Subject The Business E464483 entity
Predicate setting P1957 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: [The Business, setting, Spain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spain
Context triple: [The Business, setting, 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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d65de6288190a53a3fdd59013d2d completed April 20, 2026, 7:31 a.m.
Created at: April 10, 2026, 12:01 p.m.