Triple

T9664960
Position Surface form Disambiguated ID Type / Status
Subject National Rail Wales area E233678 entity
Predicate includesCrossBorderRoutesTo P80566 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: [National Rail Wales area, includesCrossBorderRoutesTo, Hereford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hereford
Context triple: [National Rail Wales area, includesCrossBorderRoutesTo, 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. Yate
    Yate is a town in South Gloucestershire, England, known as a residential and commercial centre north of Bristol.
  • 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_69ca848d3b6c8190ae98ea554dea58df completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c0e1ef481909c50a4ba5fd94583 completed April 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d190f691c8819093fe133bdbe1c9d1 completed April 4, 2026, 10:30 p.m.
Created at: March 30, 2026, 8:14 p.m.