Triple

T7224128
Position Surface form Disambiguated ID Type / Status
Subject Centre Department E150333 entity
Predicate hasAdministrativeSeat P1474 FINISHED
Object Hinche E650156 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: Hinche | Statement: [Centre Department, hasAdministrativeSeat, Hinche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hinche
Context triple: [Centre Department, hasAdministrativeSeat, Hinche]
  • A. Hinche chosen
    Hinche is a historic inland city in central Haiti that serves as an administrative and commercial hub for the surrounding rural region.
  • B. Cabira
    Cabira was an ancient city in the region of Pontus in Asia Minor, later known as Neocaesarea under Roman rule.
  • C. Philippeville
    Philippeville is a coastal city in northeastern Algeria, historically known for its role in the Algerian War of Independence and now officially called Skikda.
  • D. Croix-des-Bouquets
    Croix-des-Bouquets is a commune in Haiti known for its vibrant metal art tradition and proximity to the capital, Port-au-Prince.
  • E. Samborondón metropolitan area
    The Samborondón metropolitan area is a rapidly growing, affluent suburban and commercial zone adjacent to Guayaquil in Ecuador, known for its gated communities, shopping centers, and business developments.
  • 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_69c7e51b3ae88190b7d03aa59d6910f5 completed March 28, 2026, 2:26 p.m.
Created at: March 27, 2026, 2:54 p.m.