Triple

T5130705
Position Surface form Disambiguated ID Type / Status
Subject Cynon Valley E115689 entity
Predicate containsRiver P165 FINISHED
Object River Cynon E116845 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 Cynon | Statement: [Cynon Valley, containsRiver, River Cynon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Cynon
Context triple: [Cynon Valley, containsRiver, River Cynon]
  • A. River Cynon chosen
    River Cynon is a river in South Wales that flows through the Cynon Valley and contributes to the region’s industrial and cultural identity.
  • 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 Rhondda
    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.
  • D. River Clwyd
    River Clwyd is a river in northeast Wales that flows through Denbighshire to the Irish Sea near Rhyl.
  • E. River Afan
    River Afan is a river in South Wales that flows through the town of Port Talbot before reaching Swansea Bay.
  • 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_69bd444426bc819099ccd23f141e22aa completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7827c764819086da3b79f2020224 completed March 20, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfd23af5988190a66bdbec54654970 completed March 22, 2026, 11:27 a.m.
Created at: March 20, 2026, 1:42 p.m.