Triple

T764623
Position Surface form Disambiguated ID Type / Status
Subject South Wales Main Line E16146 entity
Predicate passesThrough P225 FINISHED
Object Port Talbot E18141 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: Port Talbot | Statement: [South Wales Main Line, passesThrough, Port Talbot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port Talbot
Context triple: [South Wales Main Line, passesThrough, Port Talbot]
  • A. Port Talbot chosen
    Port Talbot is an industrial town and port in South Wales, best known for its large steelworks and coastal location on Swansea Bay.
  • B. Ogmore-by-Sea
    Ogmore-by-Sea is a coastal village in the Vale of Glamorgan, Wales, known for its sandy beaches, cliffs, and views across the Bristol Channel.
  • C. Fishguard
    Fishguard is a coastal town in Pembrokeshire, Wales, known as an important ferry port linking Wales and Ireland across the Irish Sea.
  • D. Porthcawl
    Porthcawl is a seaside town in South Wales known for its sandy beaches, promenade, and popular holiday resorts.
  • E. Tywyn
    Tywyn is a coastal town in Gwynedd, Wales, known for its sandy beaches on Cardigan Bay and proximity to the scenic Talyllyn Railway.
  • 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_69a792851cc481908d019836ff98d46d completed March 4, 2026, 2:01 a.m.
Created at: March 1, 2026, 7:37 p.m.