Triple

T7738409
Position Surface form Disambiguated ID Type / Status
Subject Jacmel E175441 entity
Predicate locatedIn P40 FINISHED
Object Sud-Est department E686800 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: Sud-Est department | Statement: [Jacmel, locatedIn, Sud-Est department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sud-Est department
Context triple: [Jacmel, locatedIn, Sud-Est department]
  • A. Sud-Est department chosen
    The Sud-Est department is an administrative region in southeastern Haiti known for its mountainous terrain, including the country’s highest peak, and its Caribbean coastline.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69c6995f9c60819092e386192bd63c6f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7035bcd94819080d5553e602e6c61 completed March 27, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8deac5160819098e842fb720d77b1 completed March 29, 2026, 8:11 a.m.
Created at: March 27, 2026, 4:07 p.m.