Triple

T21436778
Position Surface form Disambiguated ID Type / Status
Subject Crediton E528833 entity
Predicate district P2709 FINISHED
Object Mid Devon 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 Devon | Statement: [Crediton, district, Mid Devon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mid Devon
Context triple: [Crediton, district, Mid Devon]
  • A. Mid Devon chosen
    Mid Devon is a largely rural local government district in the county of Devon, England, known for its market towns, farmland, and position in the heart of the county.
  • B. Central Devon
    Central Devon is a UK parliamentary constituency in the county of Devon, represented in the House of Commons.
  • C. West Devon
    West Devon is a largely rural local government district and borough in the county of Devon, England, known for its moorland landscapes and historic market towns.
  • D. South West Devon
    South West Devon is a UK parliamentary constituency in Devon, England, represented in the House of Commons.
  • E. North Devon
    North Devon is a largely rural district and coastal area in the county of Devon, England, known for its market towns, beaches, and scenic countryside.
  • 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_69e0c4569fa081908101baa24f8745db completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b537f39081909220577618657805 completed April 22, 2026, 11:47 a.m.
Created at: April 16, 2026, 6:03 p.m.