Triple

T3366794
Position Surface form Disambiguated ID Type / Status
Subject A6 road E70855 entity
Predicate passesThrough P225 FINISHED
Object Buxton E31898 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: Buxton | Statement: [A6 road, passesThrough, Buxton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buxton
Context triple: [A6 road, passesThrough, Buxton]
  • A. Buxton chosen
    Buxton is a historic spa town in Derbyshire, England, renowned for its thermal mineral springs and Georgian architecture.
  • B. Rothbury
    Rothbury is a historic market town and civil parish in Northumberland, England, situated on the River Coquet and known as a gateway to the Northumberland National Park.
  • C. Mulbarton
    Mulbarton is a village and civil parish in South Norfolk, England, situated a few miles south of the city of Norwich.
  • D. Battisford
    Battisford is a small rural village and civil parish located in the English county of Suffolk.
  • E. Bishopton
    Bishopton is a village in western Scotland known for its rural character and proximity to the River Clyde and the city of Glasgow.
  • 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.