Triple

T19906113
Position Surface form Disambiguated ID Type / Status
Subject Kilverstone, Norfolk E478419 entity
Predicate nearestTown P350 FINISHED
Object Thetford 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: Thetford | Statement: [Kilverstone, Norfolk, nearestTown, Thetford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thetford
Context triple: [Kilverstone, Norfolk, nearestTown, Thetford]
  • A. Thetford chosen
    Thetford is a historic market town in eastern England known for its ancient earthworks, links to Thomas Paine, and surrounding Breckland forest.
  • B. Wymondham
    Wymondham is a historic market town in the English county of Norfolk, known for its medieval abbey and traditional architecture.
  • C. Wroxham
    Wroxham is a village in Norfolk, England, widely regarded as the main boating and tourist centre of the Norfolk Broads.
  • D. Worstead
    Worstead is a small rural village and railway stop in Norfolk, England, situated on the Bittern Line between Norwich and the North Norfolk coast.
  • E. Swaffham
    Swaffham is a historic market town in the English county of Norfolk, known for its traditional town center and surrounding rural landscape.
  • 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65946916881909c3f52208c07aa64 completed April 20, 2026, 4:50 p.m.
Created at: April 10, 2026, 1:52 p.m.