Triple

T17933721
Position Surface form Disambiguated ID Type / Status
Subject Crewkerne railway station E448398 entity
Predicate servedPlace P3936 FINISHED
Object Crewkerne 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: Crewkerne | Statement: [Crewkerne railway station, servedPlace, Crewkerne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crewkerne
Context triple: [Crewkerne railway station, servedPlace, Crewkerne]
  • A. Crewkerne chosen
    Crewkerne is a historic market town in South West England known for its traditional architecture and rural surroundings.
  • B. Colwall
    Colwall is a village and civil parish in Herefordshire, England, situated on the western slopes of the Malvern Hills and known for its scenic countryside and historic character.
  • C. Cinderford
    Cinderford is a small industrial town in Gloucestershire, England, historically associated with coal mining and situated within the Forest of Dean.
  • D. Cullompton
    Cullompton is a historic market town in Devon, England, known for its agricultural heritage and location in the Culm Valley.
  • E. Chagford
    Chagford is a historic market town on the northeastern edge of Dartmoor in Devon, England, known for its former importance in the tin-mining industry and its picturesque rural setting.
  • 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a5547b7881909dc41bb7dd34194f completed April 19, 2026, 9:50 a.m.
Created at: April 10, 2026, 10:21 a.m.