Triple

T18198588
Position Surface form Disambiguated ID Type / Status
Subject Inland waterway network of England E435723 entity
Predicate hasPart P35 FINISHED
Object River Nene — 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 Nene | Statement: [Inland waterway network of England, hasPart, River Nene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: River Nene
Context triple: [Inland waterway network of England, hasPart, River Nene]
  • A. River Nene chosen
    River Nene is a major river in eastern England that flows through Northamptonshire, Cambridgeshire, and Norfolk before reaching The Wash on the North Sea.
  • B. River Soar
    The River Soar is a major river in central England that flows through Leicestershire and the city of Leicester before joining the River Trent.
  • C. River Babergh
    River Babergh is a small river in Suffolk, England, whose course gives its name to the surrounding Babergh district.
  • D. River Ouse
    The River Ouse is a major river in North Yorkshire, England, flowing through the historic city of York and forming part of the Humber river system before reaching the North Sea.
  • E. River Ouse
    River Ouse is a river in Tasmania, Australia, known for flowing through the central highlands and contributing to the region’s hydroelectric and agricultural systems.
  • 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e0d545f4819090285d1446bd3c27 completed April 19, 2026, 2:04 p.m.
Created at: April 10, 2026, 10:31 a.m.