Triple

T22960178
Position Surface form Disambiguated ID Type / Status
Subject Leigh Woods E570872 entity
Predicate near P350 FINISHED
Object Long Ashton 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: Long Ashton | Statement: [Leigh Woods, near, Long Ashton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Long Ashton
Context triple: [Leigh Woods, near, Long Ashton]
  • A. Long Ashton chosen
    Long Ashton is a village and civil parish in North Somerset, England, located just southwest of Bristol.
  • B. Banwell
    Banwell is a village and civil parish in North Somerset, England, known for its historic caves and medieval architecture.
  • C. Marston Green
    Marston Green is a suburban village in the Metropolitan Borough of Solihull in the West Midlands, England, known for its residential character and proximity to Birmingham and the NEC.
  • D. Edstaston
    Edstaston is a small rural parish and village in Shropshire, England, known for its historic church and agricultural surroundings.
  • E. Osmotherley
    Osmotherley is a picturesque village in North Yorkshire, England, known for its traditional stone cottages, scenic moorland surroundings, and popularity with walkers on the Cleveland Way.
  • 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_69e245b212a88190b5259caf51606084 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181f3c96081909abd6ec32103d4c3 completed April 29, 2026, 3:58 a.m.
Created at: April 17, 2026, 3:47 p.m.