Triple

T16220069
Position Surface form Disambiguated ID Type / Status
Subject South Wales–Manchester route E393699 entity
Predicate passesThrough P225 FINISHED
Object Hereford E65056 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: Hereford | Statement: [South Wales–Manchester route, passesThrough, Hereford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hereford
Context triple: [South Wales–Manchester route, passesThrough, Hereford]
  • A. Hereford chosen
    Hereford is a cathedral city in Herefordshire, England, known for its historic architecture and role as a military and agricultural center.
  • B. Hereford
    Hereford is a small city in the Texas Panhandle known for its strong agricultural and cattle industry.
  • C. Wellington, Shropshire
    Wellington, Shropshire is a historic market town in Shropshire, England, now part of the new town of Telford.
  • D. Swindon
    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.
  • E. Frampton-on-Severn
    Frampton-on-Severn is a picturesque village in Gloucestershire, England, known for its large village green and historic Cotswold stone buildings.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e227fabf708190a624c1ed8ce48b0a completed April 17, 2026, 12:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ed338f48190a8a7280f7d2b112c completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:03 a.m.