Triple

T13616383
Position Surface form Disambiguated ID Type / Status
Subject Ashbocking E325321 entity
Predicate hasCategory P87 FINISHED
Object Mid Suffolk District NE NERFINISHED

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: Mid Suffolk District | Statement: [Ashbocking, hasCategory, Mid Suffolk District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mid Suffolk District
Context triple: [Ashbocking, hasCategory, Mid Suffolk District]
  • A. Mid Suffolk chosen
    Mid Suffolk is a local government district in the county of Suffolk, England, known for its rural character and historic villages.
  • B. West Suffolk
    West Suffolk is a local government district in the county of Suffolk, England, encompassing towns such as Bury St Edmunds and Newmarket.
  • C. South Suffolk
    South Suffolk is a UK parliamentary constituency in the county of Suffolk, represented in the House of Commons.
  • D. East Suffolk district
    East Suffolk district is a local government district in the county of Suffolk, England, encompassing a stretch of the North Sea coast and several historic towns and villages.
  • E. Rochford District
    Rochford District is a local government district in Essex, England, encompassing both rural communities and parts of the Southend urban area, including London Southend Airport.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0ad0a7c81909c7972187202db96 completed April 12, 2026, 2:48 p.m.
Created at: April 9, 2026, 9:50 p.m.