Triple

T22112396
Position Surface form Disambiguated ID Type / Status
Subject Craven district E546449 entity
Predicate contains P35 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: [Craven district, contains, Aire Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aire Valley
Context triple: [Craven district, contains, 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_69e11e38b3848190ac3a4fa97d56e65a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1294ae7608190901745384a023bab completed April 28, 2026, 9:40 p.m.
Created at: April 16, 2026, 8:31 p.m.