Triple

T33894093
Position Surface form Disambiguated ID Type / Status
Subject Worshipful Company of Girdlers E868855 entity
Predicate hasWardens P31687 FINISHED
Object yes 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: yes | Statement: [Worshipful Company of Girdlers, hasWardens, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasWardens
Context triple: [Worshipful Company of Girdlers, hasWardens, yes]
  • A. hasWarden chosen
    Indicates that one entity serves as the warden or supervisory authority responsible for another entity.
  • B. isWardOf
    Indicates that one entity is under the guardianship, protection, or legal care of another entity as their ward.
  • C. containsWard
    Indicates that one entity includes, encompasses, or has within it a ward (such as a district, division, or dependent person) as part of its scope or responsibility.
  • D. hasPrisoners
    Indicates that an entity holds or contains one or more individuals who are imprisoned or detained.
  • E. hasOuterSanctuary
    Indicates that one entity serves as the outer sanctuary or outer sacred area associated with another entity.
  • 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_69f34996761c8190864e42f7c9cf215b completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f7aa699d68819081ed363931894ab3 completed May 3, 2026, 8:04 p.m.
PD Predicate disambiguation batch_69f7a8cec6d48190bebfa884b2f938c0 completed May 3, 2026, 7:58 p.m.
Created at: May 1, 2026, 1:48 a.m.