Triple

T9492636
Position Surface form Disambiguated ID Type / Status
Subject Wellingborough E228926 entity
Predicate nearbySettlement P350 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: [Wellingborough, nearbySettlement, Rushden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rushden
Context triple: [Wellingborough, nearbySettlement, 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. Rushden
    Rushden is a small rural village in the North Hertfordshire district of Hertfordshire, England.
  • C. Ruddington
    Ruddington is a large village in Nottinghamshire, England, known for its historic framework knitting industry and the Great Central Railway heritage centre.
  • D. Nuneaton
    Nuneaton is a market town in Warwickshire, England, best known as the birthplace of Victorian novelist George Eliot.
  • E. 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.
  • 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_69ca847424f081908180305555139f7a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd80ca26bc819084add20027aea4a5 completed April 1, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d27c0808190baf5ae04a1b915bb completed April 4, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:56 p.m.