Triple

T1245451
Position Surface form Disambiguated ID Type / Status
Subject Diocese of Hereford E26752 entity
Predicate hasParishesApprox P22836 FINISHED
Object around 400 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: around 400 | Statement: [Diocese of Hereford, hasParishesApprox, around 400]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasParishesApprox
Context triple: [Diocese of Hereford, hasParishesApprox, around 400]
  • A. numberOfParishes chosen
    Indicates the total count of parishes associated with a given entity.
  • B. hasArchdiocese
    Indicates that an entity serves as the archdiocese (ecclesiastical jurisdiction) associated with another entity, such as a church, region, or religious organization.
  • C. hasNumberOfChurches
    Indicates the relationship that specifies how many churches are associated with a given entity.
  • D. hasParishCouncils
    Indicates that an entity possesses, is served by, or is administratively associated with one or more parish councils.
  • E. hasDeaneries
    Indicates that an institution or organization possesses one or more deaneries as part of its internal structure.
  • 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_69a4948689d08190b3a4a3f388c02148 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf6498948190b30b09d845d67ac4 completed March 1, 2026, 10:36 p.m.
PD Predicate disambiguation batch_69a4bb696a38819095845c84f0241287 completed March 1, 2026, 10:19 p.m.
Created at: March 1, 2026, 7:47 p.m.