Triple

T13963378
Position Surface form Disambiguated ID Type / Status
Subject Henham E335855 entity
Predicate partOf P40 FINISHED
Object Suffolk Coastal district E193947 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: Suffolk Coastal district | Statement: [Henham, partOf, Suffolk Coastal district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suffolk Coastal district
Context triple: [Henham, partOf, Suffolk Coastal district]
  • A. 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.
  • B. Suffolk Coastal chosen
    Suffolk Coastal is a UK parliamentary constituency in Suffolk that covers a stretch of the county’s eastern coastline, including towns and villages such as Orford.
  • C. 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.
  • D. West Suffolk
    West Suffolk is a local government district in the county of Suffolk, England, encompassing towns such as Bury St Edmunds and Newmarket.
  • E. Babergh district
    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.
  • 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e7c73d48190b8e02971b5a8ed5f completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69feadf7fee48190bf58a1b4a603217e completed May 9, 2026, 3:46 a.m.
Created at: April 9, 2026, 10:18 p.m.