Triple

T5598138
Position Surface form Disambiguated ID Type / Status
Subject Waverley E147046 entity
Predicate containsSettlement P847 FINISHED
Object Bramley E517273 NE 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: Bramley | Statement: [Waverley, containsSettlement, Bramley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bramley
Context triple: [Waverley, containsSettlement, Bramley]
  • A. Bramley chosen
    Bramley is a village in Surrey, England, known for its historic buildings and rural character within the Borough of Waverley.
  • B. Lydbrook
    Lydbrook is a village in Gloucestershire, England, situated in the Wye Valley on the edge of the Forest of Dean and historically known for its coal mining and industrial heritage.
  • C. Banwell
    Banwell is a village and civil parish in North Somerset, England, known for its historic caves and medieval architecture.
  • D. Broomhill
    Broomhill is a residential area in Aberdeen, Scotland, known for its traditional granite housing and proximity to the city centre.
  • E. Kings Norton
    Kings Norton is a suburban area in the south of Birmingham, England, known for its historic village green, conservation area, and mix of residential and green spaces.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c009043d648190a7af89698ccf1e3e completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020d82870819087f9591b5a1021ce completed March 22, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0286eaa2881909cbb0bb20f4987fe completed March 22, 2026, 5:35 p.m.
Created at: March 22, 2026, 3:38 p.m.