Triple

T20913657
Position Surface form Disambiguated ID Type / Status
Subject Sett Valley Trail E515013 entity
Predicate crosses P416 FINISHED
Object River Sett 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 Sett | Statement: [Sett Valley Trail, crosses, River Sett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Sett
Context triple: [Sett Valley Trail, crosses, River Sett]
  • A. River Sett chosen
    The River Sett is a small river in Derbyshire, England, flowing through the High Peak area and joining the River Goyt near New Mills.
  • B. Tynedale
    Tynedale is a historic valley and district in northern England centered on the River Tyne, known for its rural landscapes, market towns, and Roman heritage.
  • C. River Wallington
    River Wallington is a small river in Hampshire, England, that flows through the town of Fareham before reaching Portsmouth Harbour.
  • D. Coquet Burn
    Coquet Burn is a small tributary stream in Northumberland, England, that feeds into the River Coquet within the county’s rural landscape.
  • E. Shibden Brook
    Shibden Brook is a small watercourse in Calderdale, West Yorkshire, that flows through the Shibden Valley and contributes to the local river system.
  • 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_69e0b4f9d5ec8190bb2bd27350ed341c completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6ec60d3288190897a087bbdd4f005 completed April 21, 2026, 3:17 a.m.
Created at: April 16, 2026, 12:48 p.m.