Triple

T37621524
Position Surface form Disambiguated ID Type / Status
Subject Williton E936080 entity
Predicate hasHistoricCountyFunction P152728 FINISHED
Object former centre of Williton Rural District 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: former centre of Williton Rural District | Statement: [Williton, hasHistoricCountyFunction, former centre of Williton Rural District]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHistoricCountyFunction
Context triple: [Williton, hasHistoricCountyFunction, former centre of Williton Rural District]
  • A. hasHistoricCountyStatusSince
    Indicates that an entity has held the legal or recognized status of a historic county starting from a specified point in time.
  • B. hasHistoricCountyCore
    Indicates that an entity is fundamentally based in, derived from, or primarily associated with a particular historic county as its core area.
  • C. hasAssociatedHistoricCounty chosen
    Indicates that an entity is linked to a specific historic county with which it is geographically or administratively associated.
  • D. hasHistoricCountyCode
    Indicates that an entity is associated with a specific historic county, identified by its county code.
  • E. hasHistoricCountySeat
    Indicates that an administrative region historically had its county government or main county offices located in a particular settlement or city.
  • 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_69f76ed16b748190ad6add183b1be688 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69ff956dc6548190979171d4b4068d47 completed May 9, 2026, 8:13 p.m.
PD Predicate disambiguation batch_69ff93dc39c481908a97a12c3ef7dfe7 completed May 9, 2026, 8:06 p.m.
Created at: May 3, 2026, 4:18 p.m.