Triple

T2365373
Position Surface form Disambiguated ID Type / Status
Subject Little Entrance E47365 entity
Predicate requiresVestments P38265 FINISHED
Object liturgical vestments of clergy 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 vestments of clergy | Statement: [Little Entrance, requiresVestments, liturgical vestments of clergy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: requiresVestments
Context triple: [Little Entrance, requiresVestments, liturgical vestments of clergy]
  • A. vests
    Indicates that legal rights, ownership, or authority are conferred upon and secured in a person or entity, often becoming fully effective at a specific time or upon certain conditions.
  • B. requiresMeasures
    Indicates that one entity necessitates the implementation or presence of specific measures, actions, or safeguards in relation to another entity or situation.
  • C. requiresCheckIn
    Indicates that one entity must perform a check-in action or be checked in as a prerequisite for another entity, event, or process to proceed.
  • D. requiresComplement
    Indicates that one entity depends on another entity as a necessary complement to be complete, functional, or valid.
  • E. hasVestmentColor
    Indicates that an entity is associated with or characterized by a specific color of vestment.
  • F. None of above. chosen

Provenance (4 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_69a88a1a4a6081908645b0f2914521ab completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc7486cb48190acef1891cc87bdb1 completed March 7, 2026, 6:35 a.m.
PD Predicate disambiguation batch_69abc599b92c819093d9e15d4437705d completed March 7, 2026, 6:28 a.m.
PDg Predicate description generation batch_69abc6a85e2c8190afec217ff29476be completed March 7, 2026, 6:33 a.m.
Created at: March 4, 2026, 7:55 p.m.