Triple

T35296230
Position Surface form Disambiguated ID Type / Status
Subject Hereford Deanery E1019376 entity
Predicate hasTypeOfParishStructure P13874 FINISHED
Object benefices and parishes 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: benefices and parishes | Statement: [Hereford Deanery, hasTypeOfParishStructure, benefices and parishes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTypeOfParishStructure
Context triple: [Hereford Deanery, hasTypeOfParishStructure, benefices and parishes]
  • A. hasParishType chosen
    Indicates that an entity is associated with or classified by a specific type or category of parish.
  • B. hasParishOrganisation
    Indicates that an entity is associated with or administered by a specific parish-level organizational unit.
  • C. hasParishHouse
    Indicates that a church or parish entity possesses or is associated with a specific parish house building.
  • D. hasCivilParishComponent
    Indicates that an entity includes or is composed of the specified civil parish as one of its administrative components.
  • E. hasParishFunction
    Indicates that an entity performs, fulfills, or is assigned a specific functional role within a parish.
  • 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_69f76de7eedc8190a3bdc64ebbc05b42 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69ff7595c9bc8190982c6e6e07a0c78f completed May 9, 2026, 5:57 p.m.
PD Predicate disambiguation batch_69ff715432a88190a25670d26614bde2 completed May 9, 2026, 5:39 p.m.
Created at: May 3, 2026, 4:03 p.m.