Triple

T22112394
Position Surface form Disambiguated ID Type / Status
Subject Craven district E546449 entity
Predicate contains P35 FINISHED
Object Gargrave 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: Gargrave | Statement: [Craven district, contains, Gargrave]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gargrave
Context triple: [Craven district, contains, Gargrave]
  • A. Gargrave chosen
    Gargrave is a village and civil parish in North Yorkshire, England, situated near the River Aire and the edge of the Yorkshire Dales.
  • B. Ramsgreave
    Ramsgreave is a small village and civil parish in Lancashire, England, situated on the outskirts of Blackburn in the Ribble Valley district.
  • C. Ribblehead
    Ribblehead is a remote hamlet in North Yorkshire, England, best known for its dramatic moorland setting and the iconic Ribblehead Viaduct on the Settle–Carlisle railway.
  • D. Kesgrave
    Kesgrave is a suburban town near Ipswich in Suffolk, England, known for its residential communities and large secondary school.
  • E. Riddlesworth
    Riddlesworth is a small village in Norfolk, England, known for its rural setting and historic country house surroundings.
  • 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.