Triple

T15233993
Position Surface form Disambiguated ID Type / Status
Subject Peartree Green E364075 entity
Predicate locatedIn P40 FINISHED
Object Woolston E359706 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: Woolston | Statement: [Peartree Green, locatedIn, Woolston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Woolston
Context triple: [Peartree Green, locatedIn, Woolston]
  • A. Woolston chosen
    Woolston is a district of Southampton in Hampshire, England, historically known for its shipbuilding and marine engineering industries.
  • B. Wollescote
    Wollescote is a suburban area of Stourbridge in the West Midlands, England, known for its residential character and proximity to local parks and green spaces.
  • C. Worston
    Worston is a small rural village and civil parish in Lancashire, England, situated within the Ribble Valley district.
  • D. Waddon
    Waddon is a suburban area in south London, England, known for its residential character, local shopping streets, and proximity to Croydon town centre.
  • E. Woolton
    Woolton is a suburban district of Liverpool, England, known for its historic village character and associations with The Beatles.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007d7237081908dc17900ee66b64f completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fef89197988190891920bfbacc0193 completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:12 a.m.