Triple

T11865538
Position Surface form Disambiguated ID Type / Status
Subject Léogâne E282271 entity
Predicate locatedIn P40 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, locatedIn, Ouest department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ouest department
Context triple: [Léogâne, locatedIn, Ouest department]
  • A. Nord-Ouest Department
    Nord-Ouest Department is an administrative region in northwestern Haiti known for its arid climate, coastal areas along the Caribbean Sea, and the historic city of Port-de-Paix.
  • B. 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.
  • C. Nord-Est Department
    Nord-Est Department is an administrative region in northeastern Haiti known for its border with the Dominican Republic and its coastal and agricultural areas.
  • D. Atlantique Department
    Atlantique Department is an administrative region in southern Benin that includes coastal and historically significant cities such as Ouidah.
  • E. Saint-Louis Department
    Saint-Louis Department is an administrative division in northern Senegal that encompasses the historic city of Saint-Louis and its surrounding areas.
  • 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a73883508190a78b5f4ba4a220df completed April 10, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69f43fc3f6688190aec5c0b481cfc77f completed May 1, 2026, 5:53 a.m.
Created at: April 8, 2026, 9:43 p.m.