Triple

T3366793
Position Surface form Disambiguated ID Type / Status
Subject A6 road E70855 entity
Predicate passesThrough P225 FINISHED
Object Bakewell E30940 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: Bakewell | Statement: [A6 road, passesThrough, Bakewell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bakewell
Context triple: [A6 road, passesThrough, Bakewell]
  • A. Bakewell chosen
    Bakewell is a historic market town in Derbyshire, England, famed for its traditional Bakewell pudding and its picturesque setting in the Peak District.
  • B. Bolsover
    Bolsover is a historic market town in England best known for its hilltop Bolsover Castle and its location within the county of Derbyshire.
  • C. Southwell
    Southwell is a small coastal settlement on the Isle of Portland in Dorset, England, known for its proximity to dramatic cliffs and quarrying heritage.
  • D. Epsom
    Epsom is a market town in Surrey, England, best known for the Epsom Downs Racecourse and the famous Epsom Derby horse race.
  • E. Banbury
    Banbury is a historic market town in Oxfordshire, England, known for its medieval cross, canal-side setting, and association with the traditional Banbury cake.
  • 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_69ad85a729d48190afd789cd8417f289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb287a30c8190b4c40091675c94fb completed March 8, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b325500eac8190b6f43864af8bda6c completed March 12, 2026, 8:42 p.m.
Created at: March 8, 2026, 3:13 p.m.