Triple

T469491
Position Surface form Disambiguated ID Type / Status
Subject Hôpital Sainte-Croix, Léogâne E8522 entity
Predicate religiousAffiliationType P45 FINISHED
Object Christian healthcare institution LITERAL 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: Christian healthcare institution | Statement: [Hôpital Sainte-Croix, Léogâne, religiousAffiliationType, Christian healthcare institution]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousAffiliationType
Context triple: [Hôpital Sainte-Croix, Léogâne, religiousAffiliationType, Christian healthcare institution]
  • A. religiousAffiliation chosen
    Indicates that one entity has a specified religious association, belief system, or denominational membership.
  • B. officialReligion
    Indicates that a particular religion is formally recognized and designated as the official or state religion of an entity (such as a country or region).
  • C. religiousTarget
    Indicates that an action, policy, or behavior is directed at someone or something specifically because of their religion or religious affiliation.
  • D. religiousBranchOf
    Indicates that one religion, denomination, or sect is a subdivision or offshoot of a larger parent religious tradition.
  • E. formerReligiousAffiliation
    Indicates that an entity previously adhered to a particular religion or religious denomination but no longer does so.
  • F. None of above.

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_69a2e7f3aeb48190a19453e3a043f486 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2efee0ea0819099d87f3727c03bc7 completed Feb. 28, 2026, 1:38 p.m.
PD Predicate disambiguation batch_69a2edebb3988190907992a584b4e260 completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.