Triple

T1417555
Position Surface form Disambiguated ID Type / Status
Subject Breckland line E31952 entity
Predicate passesThrough P225 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: [Breckland line, passesThrough, Thetford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thetford
Context triple: [Breckland line, passesThrough, 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_69a49919a994819086528951bc224775 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c404e92c8190bd018673383f4534 completed March 1, 2026, 10:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad36fb2c348190860129f84ca59cc3 completed March 8, 2026, 8:44 a.m.
Created at: March 1, 2026, 7:59 p.m.