Triple

T3366786
Position Surface form Disambiguated ID Type / Status
Subject A6 road E70855 entity
Predicate passesThrough P225 FINISHED
Object Rushden E333811 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: Rushden | Statement: [A6 road, passesThrough, Rushden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rushden
Context triple: [A6 road, passesThrough, Rushden]
  • A. Rushden chosen
    Rushden is a market town in the East Midlands of England known for its historical shoe and boot manufacturing industry and later retail and leisure developments.
  • B. Nuneaton
    Nuneaton is a market town in Warwickshire, England, best known as the birthplace of Victorian novelist George Eliot.
  • C. Bicester
    Bicester is a historic market town in Oxfordshire, England, best known today for its rapid growth and the popular designer outlet shopping destination Bicester Village.
  • D. Redditch
    Redditch is a town in the county of Worcestershire in England, historically known for its needle-making industry and now a modern residential and commercial center.
  • E. Wantage
    Wantage is a historic market town in Oxfordshire, England, best known as the birthplace of King Alfred the Great.
  • 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.