Triple

T13754472
Position Surface form Disambiguated ID Type / Status
Subject Ilketshall St Margaret E330438 entity
Predicate postTown P2711 FINISHED
Object Bungay E299691 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: Bungay | Statement: [Ilketshall St Margaret, postTown, Bungay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bungay
Context triple: [Ilketshall St Margaret, postTown, Bungay]
  • A. Bungay chosen
    Bungay is a historic market town and civil parish situated on the River Waveney in Suffolk, England.
  • B. Caistor
    Caistor is a small historic market town in Lincolnshire, England, known for its Roman origins and Georgian architecture.
  • C. Belstead
    Belstead is a small village and civil parish located in the county of Suffolk in eastern England.
  • D. Haltwhistle
    Haltwhistle is a small town in Northumberland, England, known as a gateway to Hadrian’s Wall and the surrounding Tyne Valley countryside.
  • E. Rothbury
    Rothbury is a historic market town and civil parish in Northumberland, England, situated on the River Coquet and known as a gateway to the Northumberland National Park.
  • 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_69d81c573f288190aa2403d484fa3d49 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02179c948190a652cc8c586e418f completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c6fe88348190aa9803f7d6d67023 completed May 3, 2026, 10:06 p.m.
Created at: April 9, 2026, 10:09 p.m.