Triple

T17372487
Position Surface form Disambiguated ID Type / Status
Subject Churnet Valley Line E422351 entity
Predicate namedAfter P63 FINISHED
Object River Churnet 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 Churnet | Statement: [Churnet Valley Line, namedAfter, River Churnet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Churnet
Context triple: [Churnet Valley Line, namedAfter, River Churnet]
  • A. River Churnet chosen
    The River Churnet is a river in Staffordshire, England, known for flowing through the Churnet Valley and its association with former industrial sites and scenic countryside.
  • B. River Gavenny
    River Gavenny is a small river in Monmouthshire, Wales, that flows through the Abergavenny area before joining the River Usk.
  • C. Lez River
    The Lez River is a short coastal river in southern France that flows through the city of Montpellier before emptying into the Mediterranean Sea.
  • D. Aherlow River
    The Aherlow River is a waterway in County Tipperary, Ireland, flowing through the scenic Glen of Aherlow before joining the River Suir.
  • E. River Brent
    The River Brent is a tributary of the River Thames in West London, flowing through several London boroughs and giving its name to the London Borough of Brent.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a69d93c81908ce2d909857a3a11 completed April 19, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:44 a.m.