Triple

T28203350
Position Surface form Disambiguated ID Type / Status
Subject St Barnabas Church, Dibley E716947 entity
Predicate fictionalDiocese P181053 FINISHED
Object fictional Church of England 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: fictional Church of England diocese | Statement: [St Barnabas Church, Dibley, fictionalDiocese, fictional Church of England diocese]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fictionalDiocese
Context triple: [St Barnabas Church, Dibley, fictionalDiocese, fictional Church of England diocese]
  • A. fictionalParish
    Indicates that an entity is a parish that exists only in fiction rather than in the real world.
  • B. fictionalClergyAssociated
    Indicates an association between a fictional clergy member and another entity, such as an institution, group, place, or work, with which they are connected.
  • C. diocese
    Indicates that one entity serves as the ecclesiastical district or jurisdiction under the authority of a bishop to which the other entity is related or belongs.
  • D. fictionalCapital
    Indicates that a location serves as the capital city within a fictional or imaginary political or geographic entity.
  • E. fictionalSon
    Indicates that one entity is portrayed as the son of another entity within a fictional or narrative context.
  • 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_69efd6b826908190857e6e7dad74ed93 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f760a35b988190904e6267553ad2fe completed May 3, 2026, 2:50 p.m.
PD Predicate disambiguation batch_69f75eb3d6f081908c933474eb359e3d completed May 3, 2026, 2:41 p.m.
PDg Predicate description generation batch_69f760a2a90c8190b8fbc55412ab752b completed May 3, 2026, 2:50 p.m.
Created at: April 27, 2026, 10:33 p.m.