Triple

T20344291
Position Surface form Disambiguated ID Type / Status
Subject Bingley E495824 entity
Predicate locatedIn P40 FINISHED
Object Aire Valley NE NERFINISHED

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: Aire Valley | Statement: [Bingley, locatedIn, Aire Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aire Valley
Context triple: [Bingley, locatedIn, Aire Valley]
  • A. Aire Valley chosen
    Aire Valley is a scenic valley in North Yorkshire, England, shaped by the River Aire and known for its rural landscapes, historic towns, and role as a key transport corridor.
  • B. Cerne Valley
    Cerne Valley is a picturesque rural valley in Dorset, England, best known for its rolling chalk downland, historic villages, and the iconic Cerne Abbas Giant hillside figure.
  • C. Gipping Valley
    Gipping Valley is a rural area in Suffolk, England, characterized by the landscapes, villages, and natural habitats that follow the course of the River Gipping.
  • D. Worth Valley
    Worth Valley is a scenic valley in West Yorkshire, England, known for its historic villages, moorland landscapes, and association with the Brontë literary heritage.
  • E. Wear Valley
    Wear Valley is a district in County Durham, England, characterized by its rural landscapes, former mining communities, and the course of the River Wear running through it.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a3320881909495ae8bc30bc2dc completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67837bef8819091e552d1c8a1665c completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:24 a.m.