Triple

T764622
Position Surface form Disambiguated ID Type / Status
Subject South Wales Main Line E16146 entity
Predicate passesThrough P225 FINISHED
Object Bridgend E16737 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: Bridgend | Statement: [South Wales Main Line, passesThrough, Bridgend]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bridgend
Context triple: [South Wales Main Line, passesThrough, Bridgend]
  • A. Bridgend chosen
    Bridgend is a town and county borough in South Wales, situated roughly midway between Cardiff and Swansea and known historically for its market and industrial heritage.
  • B. Blaenau Gwent
    Blaenau Gwent is a county borough in southeastern Wales known for its industrial heritage and former coal mining communities.
  • C. Cwmbran
    Cwmbran is a large new town in South Wales known for its extensive shopping centre and post-war planned development.
  • D. Pencoed
    Pencoed is a small town in south Wales, situated near Bridgend and known primarily as a residential and commuter community.
  • E. Vale of Glamorgan
    The Vale of Glamorgan is a coastal county borough in southeast Wales known for its rural landscapes, seaside towns, and proximity to Cardiff.
  • 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_69a493684ee48190bd43b7c78da4aec8 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a69dfeb08190b54a476cfa66e6d6 completed March 1, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b83948b48190af0349dd73ec3951 completed March 4, 2026, 4:42 a.m.
Created at: March 1, 2026, 7:37 p.m.