Triple

T5584777
Position Surface form Disambiguated ID Type / Status
Subject Ebbw Valley E146727 entity
Predicate hasPart P35 FINISHED
Object Ebbw River E474427 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: Ebbw River | Statement: [Ebbw Valley, hasPart, Ebbw River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ebbw River
Context triple: [Ebbw Valley, hasPart, Ebbw River]
  • A. River Ebbw chosen
    River Ebbw is a river in south-east Wales that flows through former industrial valleys of Gwent before joining the River Usk near Newport.
  • B. River Dwyryd
    River Dwyryd is a river in Gwynedd, Wales, that flows through Snowdonia to reach the estuary near Porthmadog on the west coast.
  • C. Rhymney River
    The Rhymney River is a river in South Wales that flows through the city of Cardiff before reaching the Bristol Channel.
  • D. Ogmore River
    The Ogmore River is a river in South Wales that flows through the Vale of Glamorgan to the Bristol Channel near the village of Ogmore-by-Sea.
  • E. River Ystwyth
    River Ystwyth is a river in west Wales that flows through Ceredigion to the coastal town of Aberystwyth, where it meets the sea.
  • 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_69c0090287a08190b4098411effe970c completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c02085d0e48190b8d185fe7f3d8579 completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141085da88190bf5cd0a90914f929 completed March 23, 2026, 1:32 p.m.
Created at: March 22, 2026, 3:37 p.m.