Triple

T1234294
Position Surface form Disambiguated ID Type / Status
Subject South Wales Valleys E26510 entity
Predicate hasValley P650 FINISHED
Object Cynon Valley E115689 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: Cynon Valley | Statement: [South Wales Valleys, hasValley, Cynon Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cynon Valley
Context triple: [South Wales Valleys, hasValley, Cynon Valley]
  • A. Cynon Valley chosen
    Cynon Valley is a former coal-mining valley and community in South Wales, known for its industrial heritage and role in the South Wales Valleys region.
  • B. Ebbw Valley
    Ebbw Valley is a river valley in southeast Wales known for its industrial heritage and communities that developed around coal mining and steel production.
  • C. Rhymney Valley
    Rhymney Valley is a historic coal-mining valley in south Wales, known for its industrial heritage and communities along the River Rhymney.
  • D. Sirhowy Valley
    Sirhowy Valley is a historic, post-industrial valley in south Wales known for its former coal mining communities and scenic, rugged landscape.
  • E. Swansea Valley
    Swansea Valley is a region in South Wales known for its mix of former industrial communities, scenic river landscapes, and proximity to both Swansea and the Brecon Beacons.
  • 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_69a4948571c88190a9191e451e6035fd completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be5d16ec819088056167c88d3318 completed March 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc61b45748190a12e1aec029b76df completed March 8, 2026, 12:43 a.m.
Created at: March 1, 2026, 7:47 p.m.