Triple

T7438068
Position Surface form Disambiguated ID Type / Status
Subject Yateley E171670 entity
Predicate hasPostTown P2711 FINISHED
Object YATELEY E171670 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: YATELEY | Statement: [Yateley, hasPostTown, YATELEY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: YATELEY
Context triple: [Yateley, hasPostTown, YATELEY]
  • A. Yateley chosen
    Yateley is a small town in northeast Hampshire, England, known for its residential character, local schools, and nearby lakes and heathland.
  • B. Grateley
    Grateley is a small village in Hampshire, England, known for its rural setting and railway station on the line between London and Salisbury.
  • C. Yate
    Yate is a town in South Gloucestershire, England, known as a residential and commercial centre north of Bristol.
  • D. Ruxley
    Ruxley is a locality in the London Borough of Bromley, England, known for its mix of suburban development and nearby nature reserves such as the Ruxley Gravel Pits.
  • E. Yardley Hastings
    Yardley Hastings is a small rural village and civil parish in Northamptonshire, England, known for its historic buildings and traditional English countryside setting.
  • 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_69c68a64228c8190affaec2a8127ce7b completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f34aa3388190ac300cf934042d78 completed March 27, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8278cd9cc8190b88767c1432b3007 completed March 28, 2026, 7:10 p.m.
Created at: March 27, 2026, 3:13 p.m.