Triple

T19662812
Position Surface form Disambiguated ID Type / Status
Subject River Hit E472123 entity
Predicate hasName P744 FINISHED
Object River Hit 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 Hit | Statement: [River Hit, hasName, River Hit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Hit
Context triple: [River Hit, hasName, River Hit]
  • A. River Hit chosen
    River Hit is a small river in Bedfordshire, England, that flows through the town of Shefford and forms part of the local drainage and landscape.
  • B. Riverbed
    Riverbed is a large-scale immersive installation by artist Olafur Eliasson that transforms a gallery space into a rocky, river-like landscape, inviting viewers to experience a constructed natural environment indoors.
  • C. River Brain
    The River Brain is a small river in Essex, England, that serves as a tributary of the River Blackwater and flows through the town of Witham.
  • D. Pages River
    Pages River is a minor river in New South Wales, Australia, that forms part of the Hunter River catchment.
  • E. River Rat
    The River Rat is a small river in Suffolk, England, that flows through villages such as Rattlesden before joining the River Gipping.
  • 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6414b30fc81908e6594ba8f2d2942 completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:45 p.m.