Triple

T8704244
Position Surface form Disambiguated ID Type / Status
Subject Thetford Forest E206606 entity
Predicate nearCity P350 FINISHED
Object Thetford E140696 NE FINISHED

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: [Thetford Forest, nearCity, Thetford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thetford
Context triple: [Thetford Forest, nearCity, 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 (3 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_69ca835645e881908f00e3c8b51da81d completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc58fa0a208190a520e0e1f7faaea9 completed March 31, 2026, 11:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef41e3ec08190b29adf483cdf8cc3 completed April 2, 2026, 10:56 p.m.
Created at: March 30, 2026, 6:34 p.m.