Triple

T47777
Position Surface form Disambiguated ID Type / Status
Subject Diocese of Haiti E938 entity
Predicate hasCathedralFunction P916 FINISHED
Object liturgical center of the diocese 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: liturgical center of the diocese | Statement: [Diocese of Haiti, hasCathedralFunction, liturgical center of the diocese]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCathedralFunction
Context triple: [Diocese of Haiti, hasCathedralFunction, liturgical center of the diocese]
  • A. hasCityHall
    Indicates that a location or administrative area possesses or is served by a specific city hall building or institution.
  • B. hasPlaceOfWorship
    Indicates that an entity possesses, contains, or is associated with a designated location used for religious or spiritual worship.
  • C. hasReligiousSite chosen
    Indicates that a location or entity possesses, contains, or is associated with a religious site such as a temple, church, mosque, shrine, or similar place of worship.
  • D. hasUrbanFeature
    Indicates that a place or area possesses a specific urban element or infrastructure feature (such as roads, parks, or buildings) as part of its built environment.
  • E. hasStationBuilding
    Indicates that a station is associated with or includes a station building as part of its facilities.
  • 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_69a2480baefc81909951b14058479aa2 completed Feb. 28, 2026, 1:42 a.m.
NER Named-entity recognition batch_69a24c1a5c14819088748317a3f262c8 completed Feb. 28, 2026, 1:59 a.m.
PD Predicate disambiguation batch_69a24abe7cb481908d969e54032f6c75 completed Feb. 28, 2026, 1:54 a.m.
Created at: Feb. 28, 2026, 1:47 a.m.