Triple

T20077870
Position Surface form Disambiguated ID Type / Status
Subject Taff-Ely E499916 entity
Predicate namedAfter P63 FINISHED
Object River Taff NE NERFINISHED

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 Taff | Statement: [Taff-Ely, namedAfter, River Taff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Taff
Context triple: [Taff-Ely, namedAfter, River Taff]
  • A. River Taff chosen
    The River Taff is a major river in South Wales that flows through Merthyr Tydfil and Cardiff before reaching the Bristol Channel.
  • B. 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.
  • C. Neath
    Neath is a small locality within the Cessnock local government area in the Hunter Region of New South Wales, Australia.
  • D. Rhymney River
    The Rhymney River is a river in South Wales that flows through the city of Cardiff before reaching the Bristol Channel.
  • E. Afon Taf
    Afon Taf is a river in southwest Wales that flows through Carmarthenshire before reaching the sea at Carmarthen Bay.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6643d5238819098b7d4e4e2c8dd67 completed April 20, 2026, 5:37 p.m.
Created at: April 11, 2026, 3:40 p.m.