Triple

T2606699
Position Surface form Disambiguated ID Type / Status
Subject Léogâne E58676 entity
Predicate countrySubdivision P766 FINISHED
Object Ouest department E28121 NE FINISHED

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: Ouest department | Statement: [Léogâne, countrySubdivision, Ouest department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ouest department
Context triple: [Léogâne, countrySubdivision, Ouest department]
  • A. Ouest Department chosen
    Ouest Department is an administrative region in western Haiti that includes the capital city, Port-au-Prince, and serves as the country’s political and economic center.
  • B. Manche department
    Manche department is a coastal administrative region in Normandy, northwestern France, known for its role in the D-Day landings and its rugged shoreline along the English Channel.
  • C. Sud Department
    Sud Department is an administrative region in southern Haiti known for its coastal cities, beaches, and agricultural activities.
  • D. Beni Department
    Beni Department is a large, sparsely populated administrative region in northern Bolivia known for its vast Amazonian lowlands, wetlands, and cattle ranching.
  • E. Ain department
    Ain department is an administrative region in eastern France known for its diverse landscapes, historic towns, and proximity to both the Alps and the Swiss border.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ab4ac3523881909679750c9f8c2dec completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd865c9908190be7e1b572a43972f completed March 7, 2026, 7:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69af907ebc348190b1556a2104cba6f1 completed March 10, 2026, 3:31 a.m.
Created at: March 6, 2026, 9:49 p.m.