Triple

T7224090
Position Surface form Disambiguated ID Type / Status
Subject Artibonite Department E150332 entity
Predicate hasAdministrativeCenter P1474 FINISHED
Object Gonaïves E272309 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: Gonaïves | Statement: [Artibonite Department, hasAdministrativeCenter, Gonaïves]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gonaïves
Context triple: [Artibonite Department, hasAdministrativeCenter, Gonaïves]
  • A. Gonaïves chosen
    Gonaïves is a coastal city in western Haiti historically renowned as the birthplace of the nation’s independence and a center of political activity.
  • B. Abataranika
    Abataranika is a Bengali literary work that served as the source material for the film "Mahanagar."
  • C. Port-la-Nouvelle
    Port-la-Nouvelle is a coastal commune and seaside resort in southern France known for its Mediterranean beaches and commercial port.
  • D. Cap-Haïtien
    Cap-Haïtien is a historic coastal city in northern Haiti known for its colonial architecture and proximity to the UNESCO-listed Citadelle Laferrière fortress.
  • E. Petit-Goâve
    Petit-Goâve is a coastal town in southwestern Haiti known as one of the country’s older colonial settlements and a local center of commerce and fishing.
  • 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_69c687effb44819092b95d07d0368c9f completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e9db51888190b8463d0003f334fa completed March 27, 2026, 8:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7eecda0548190b12b1bc36b42e7ea completed March 28, 2026, 3:07 p.m.
Created at: March 27, 2026, 2:54 p.m.