Triple

T10472221
Position Surface form Disambiguated ID Type / Status
Subject A47 road E246950 entity
Predicate passesThrough P225 FINISHED
Object Wisbech E48579 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: Wisbech | Statement: [A47 road, passesThrough, Wisbech]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wisbech
Context triple: [A47 road, passesThrough, Wisbech]
  • A. Wisbech chosen
    Wisbech is a historic market town and inland port in the Fens of eastern England, known for its Georgian architecture and agricultural surroundings.
  • B. Barrow upon Soar
    Barrow upon Soar is a large village and civil parish in Leicestershire, England, known for its historic limestone quarrying and riverside setting.
  • C. Kesteven
    Kesteven is a historic region and former administrative division in Lincolnshire, England.
  • D. Syston
    Syston is a town in the Charnwood district of Leicestershire, England, known historically for its market and proximity to the city of Leicester.
  • E. Thetford
    Thetford is a historic market town in eastern England known for its ancient earthworks, links to Thomas Paine, and surrounding Breckland forest.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5094cec788190a485c5c9e7cd024a completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d979fa05d8819087e2167cc9247598 completed April 10, 2026, 10:30 p.m.
Created at: April 6, 2026, 12:20 p.m.