Triple

T12623010
Position Surface form Disambiguated ID Type / Status
Subject Bildeston E301434 entity
Predicate administrativeDistrict P2709 FINISHED
Object Babergh District E368909 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: Babergh District | Statement: [Bildeston, administrativeDistrict, Babergh District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Babergh District
Context triple: [Bildeston, administrativeDistrict, Babergh District]
  • A. Babergh district chosen
    Babergh district is a local government district in Suffolk, England, known for its rural landscapes, historic villages, and market towns such as Sudbury and Hadleigh.
  • B. Breckland district
    Breckland district is a largely rural local government district in Norfolk, England, known for its heathland landscapes and market towns such as Thetford and Dereham.
  • C. Tendring district
    Tendring district is a local government district in Essex, England, known for its coastal towns and seaside resorts including Clacton-on-Sea.
  • D. Fenland District
    Fenland District is a local government district in the county of Cambridgeshire in eastern England, known for its flat, low-lying agricultural landscape and market towns.
  • E. Waveney district
    Waveney district was a former local government district in Suffolk, England, centered on the town of Lowestoft and named after the River Waveney.
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d960c8671881909a102d28b0e7f603 completed April 10, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb63f006c8190997c0f3cdc6efd6c completed May 7, 2026, 3:56 p.m.
Created at: April 9, 2026, 5:14 p.m.