Triple

T2515793
Position Surface form Disambiguated ID Type / Status
Subject M4 motorway E55408 entity
Predicate servesCity P82 FINISHED
Object Swindon E103379 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: Swindon | Statement: [M4 motorway, servesCity, Swindon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swindon
Context triple: [M4 motorway, servesCity, Swindon]
  • A. Swindon chosen
    Swindon is a large town in Wiltshire, England, known as a major commercial and commuter hub in the southwest with strong railway and industrial heritage.
  • B. Yeovil
    Yeovil is a town in Somerset, England, known historically for its aircraft and defence industries and serving as a commercial and service hub for the surrounding rural area.
  • C. Chippenham
    Chippenham is a village and civil parish in the East Cambridgeshire district of Cambridgeshire, England, known for its rural character and historic estate landscapes.
  • D. Chippenham
    Chippenham is a historic market town in Wiltshire, England, known for its location on the River Avon and its role as a regional commercial and commuter hub.
  • E. 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.
  • 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_69ab49e4749c8190813311efd1630f1b completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd20db7e0819096d901eb20ae65e5 completed March 7, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69af9068798c8190958c5522276906fe completed March 10, 2026, 3:30 a.m.
Created at: March 6, 2026, 9:46 p.m.