Triple

T1089516
Position Surface form Disambiguated ID Type / Status
Subject Diocese of Ely E24128 entity
Predicate hasRegisteredCharityStatus P70 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: [Diocese of Ely, hasRegisteredCharityStatus, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRegisteredCharityStatus
Context triple: [Diocese of Ely, hasRegisteredCharityStatus, yes]
  • A. nonprofitStatus chosen
    Indicates that an entity operates as a nonprofit organization, typically meeting legal or regulatory criteria for nonprofit status.
  • B. hasCharitySingle
    Indicates that an entity is associated with exactly one specific charitable organization or charitable initiative.
  • C. hasCharitableFoundation
    Indicates that an entity maintains or is associated with a charitable foundation, typically for philanthropic or nonprofit activities.
  • D. charityNumber
    Indicates that an entity is associated with a specific registered charity identification number.
  • E. associatedCharity
    Indicates that one entity has a formal or recognized charitable affiliation or partnership 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_69a49404428c819092dcc9632f5f7b8b completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b97f216881909e9b8943ce2078e4 completed March 1, 2026, 10:11 p.m.
PD Predicate disambiguation batch_69a4b741b0cc8190be001a16a81f6d9e completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:42 p.m.