Triple

T20810431
Position Surface form Disambiguated ID Type / Status
Subject Ynyshir E512281 entity
Predicate hasRiver P165 FINISHED
Object River Rhondda Fach — 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 Rhondda Fach | Statement: [Ynyshir, hasRiver, River Rhondda Fach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: River Rhondda Fach
Context triple: [Ynyshir, hasRiver, River Rhondda Fach]
  • A. River Rhondda chosen
    River Rhondda is a river in South Wales that flows through the historic coal-mining valleys of Rhondda Cynon Taf before joining the River Taff.
  • B. Rhymney River
    The Rhymney River is a river in South Wales that flows through the city of Cardiff before reaching the Bristol Channel.
  • C. River Taff
    The River Taff is a major river in South Wales that flows through Merthyr Tydfil and Cardiff before reaching the Bristol Channel.
  • D. River Cynon
    River Cynon is a river in South Wales that flows through the Cynon Valley and contributes to the region’s industrial and cultural identity.
  • E. Sirhowy River
    The Sirhowy River is a waterway in south Wales that flows through the historic industrial landscape of the Sirhowy Valley before joining the River Ebbw.
  • 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_69e0b4cd25088190b48ca9700cd24efc completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2d27a4881908b34679385d8b94b completed April 21, 2026, 12:20 a.m.
Created at: April 16, 2026, 12:40 p.m.