Triple

T1288656
Position Surface form Disambiguated ID Type / Status
Subject Monmouthshire E27493 entity
Predicate traversedBy P225 FINISHED
Object River Usk E159352 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 Usk | Statement: [Monmouthshire, traversedBy, River Usk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Usk
Context triple: [Monmouthshire, traversedBy, River Usk]
  • A. River Usk chosen
    The River Usk is a major river in Wales known for its scenic valley, rich wildlife, and reputation as one of the UK’s premier salmon and trout fishing rivers.
  • B. River Wye
    The River Wye is a major river in Wales and western England, renowned for its scenic valley landscapes and importance as a wildlife and recreational area.
  • C. River Wye
    The River Wye is a picturesque river in the Peak District of England, known for flowing through limestone dales and scenic countryside popular with walkers and anglers.
  • D. River Dwyryd
    River Dwyryd is a river in Gwynedd, Wales, that flows through Snowdonia to reach the estuary near Porthmadog on the west coast.
  • E. Neath
    Neath is a historic industrial and market town in South Wales, known for its Roman and medieval heritage and its role in the coal and steel industries.
  • 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_69a496d4ec448190ad653b2590c46711 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0d38d7c81908941edda9cac5d6a completed March 1, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad36f6d9288190ad64dc1bc9e9f8c1 completed March 8, 2026, 8:44 a.m.
Created at: March 1, 2026, 7:51 p.m.