Triple

T13731854
Position Surface form Disambiguated ID Type / Status
Subject North Yorkshire Fire and Rescue Service E329820 entity
Predicate overseesAreaType P6822 FINISHED
Object predominantly rural county 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: predominantly rural county | Statement: [North Yorkshire Fire and Rescue Service, overseesAreaType, predominantly rural county]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: overseesAreaType
Context triple: [North Yorkshire Fire and Rescue Service, overseesAreaType, predominantly rural county]
  • A. typeOfAreaRepresented
    Indicates that one entity specifies the kind or category of area that another entity represents.
  • B. hasAreaType chosen
    Indicates that an entity is associated with a specific kind or classification of area (e.g., urban, rural, coastal).
  • C. oversawProgramArea
    Indicates that one entity had managerial or supervisory responsibility over a specific program area associated with another entity.
  • D. overseesDivision
    Indicates that one entity has managerial or supervisory responsibility over a specific division of an organization.
  • E. regulatesArea
    Indicates that one entity exercises control or governance over the spatial extent, scope, or domain of 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_69d80772315881908f980cae40d91664 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de01f92b588190be97ec4564dddd59 completed April 14, 2026, 8:59 a.m.
PD Predicate disambiguation batch_69dbbe950b148190ba0df8a749269ec6 completed April 12, 2026, 3:47 p.m.
Created at: April 9, 2026, 9:55 p.m.