Triple

T1955076
Position Surface form Disambiguated ID Type / Status
Subject Euston Hall, Suffolk E42247 entity
Predicate near 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: [Euston Hall, Suffolk, near, Thetford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thetford
Context triple: [Euston Hall, Suffolk, near, 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. Swaffham
    Swaffham is a historic market town in the English county of Norfolk, known for its traditional town center and surrounding rural landscape.
  • D. Fakenham
    Fakenham is a market town in Norfolk, England, known historically for its agriculture and as a local commercial center.
  • E. Huntingdon
    Huntingdon is a parliamentary constituency in Cambridgeshire, England, best known for being represented for many years by former UK Prime Minister John Major.
  • 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_69a8870eea088190a38781990812a9bc completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb353aa8c81909810347f9981a02f completed March 7, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0acad6408190ac31a3f817df1360 completed March 8, 2026, 11:48 p.m.
Created at: March 4, 2026, 7:36 p.m.