Triple

T17531574
Position Surface form Disambiguated ID Type / Status
Subject River Churnet E426946 entity
Predicate nearbySettlement P350 FINISHED
Object Rocester 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: Rocester | Statement: [River Churnet, nearbySettlement, Rocester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rocester
Context triple: [River Churnet, nearbySettlement, Rocester]
  • A. Rocester chosen
    Rocester is a village in Staffordshire, England, known for its rural setting near the River Dove and its historical roots dating back to Roman times.
  • B. Bedford
    Bedford is a small suburban city located in northeastern Ohio within the Greater Cleveland metropolitan area.
  • C. Bedford
    Bedford is a historic market town and the county town of Bedfordshire in eastern England, situated on the River Great Ouse.
  • D. Bedford
    Bedford is a suburban community within the Halifax Regional Municipality in Nova Scotia, Canada, known for its residential areas and waterfront along the Bedford Basin.
  • E. Haworth
    Haworth is a historic village in West Yorkshire, England, best known as the home of the Brontë sisters and a popular literary and heritage tourism destination.
  • 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e453688950819098162d853cd2674e completed April 19, 2026, 4 a.m.
Created at: April 10, 2026, 5:49 a.m.