Triple

T6590891
Position Surface form Disambiguated ID Type / Status
Subject River Usk E159352 entity
Predicate hasTributary P415 FINISHED
Object River Ebbw 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: River Ebbw | Statement: [River Usk, hasTributary, River Ebbw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Ebbw
Context triple: [River Usk, hasTributary, River Ebbw]
  • 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. River Cleddau
    The River Cleddau is a river system in Pembrokeshire, Wales, whose Eastern and Western branches meet to form the Milford Haven Waterway before reaching the Irish 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_69c688366ce8819083f8883983c0df92 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6aecc969c81909a6e15ebe8dd3f94 completed March 27, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cbabb8848190bb541957176b0ca1 completed March 28, 2026, 12:38 p.m.
Created at: March 27, 2026, 1:55 p.m.