Triple

T1342167
Position Surface form Disambiguated ID Type / Status
Subject A47 road E28488 entity
Predicate passesThrough P225 FINISHED
Object Swaffham E164461 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: Swaffham | Statement: [A47 road, passesThrough, Swaffham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swaffham
Context triple: [A47 road, passesThrough, Swaffham]
  • A. Swaffham chosen
    Swaffham is a historic market town in the English county of Norfolk, known for its traditional town center and surrounding rural landscape.
  • B. Fakenham
    Fakenham is a market town in Norfolk, England, known historically for its agriculture and as a local commercial center.
  • C. Thetford
    Thetford is a historic market town in eastern England known for its ancient earthworks, links to Thomas Paine, and surrounding Breckland forest.
  • D. Wymondham
    Wymondham is a historic market town in the English county of Norfolk, known for its medieval abbey and traditional architecture.
  • E. Dereham
    Dereham is a market town in the English county of Norfolk, known historically for its agriculture and rural character.
  • 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_69a49854eb3481908c7d56b2e449a290 completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c2174d048190a6e9380df302265f completed March 1, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad293ab8508190ac321c898cd3df39 completed March 8, 2026, 7:46 a.m.
Created at: March 1, 2026, 7:56 p.m.