Triple

T21249429
Position Surface form Disambiguated ID Type / Status
Subject Tittesworth Reservoir E523700 entity
Predicate inflow P415 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: [Tittesworth Reservoir, inflow, River Churnet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Churnet
Context triple: [Tittesworth Reservoir, inflow, 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. Mylva River
    The Mylva River is a lesser-known watercourse in Russia that feeds into the larger Vychegda River within the Northern Dvina basin.
  • E. Breg River
    The Breg River is a headstream of the Danube in Germany’s Black Forest, known as one of the two main source rivers that form the Danube.
  • 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7359c7a648190b4345336ac3be024 completed April 21, 2026, 8:30 a.m.
Created at: April 16, 2026, 3:56 p.m.