Triple

T21791539
Position Surface form Disambiguated ID Type / Status
Subject Drewsteignton E537982 entity
Predicate civilParish P2739 FINISHED
Object Drewsteignton 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: Drewsteignton | Statement: [Drewsteignton, civilParish, Drewsteignton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Drewsteignton
Context triple: [Drewsteignton, civilParish, Drewsteignton]
  • A. Drewsteignton chosen
    Drewsteignton is a rural village and civil parish on the edge of Dartmoor in Devon, England, known for its scenic countryside and historic landmarks.
  • B. Kingsteignton
    Kingsteignton is a large town in Devon, England, situated near the River Teign and known historically for its clay mining and pottery industries.
  • C. Baverstock
    Baverstock is a small rural hamlet in Wiltshire, England, known for its historic church and tranquil countryside setting.
  • D. Drayton
    Drayton is a village in Oxfordshire, England, situated within the Vale of White Horse district.
  • E. Drayton
    Drayton is a village in Norfolk, England, situated near the city of Norwich along the River Wensum.
  • 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_69e0c47198f881908cb0d237266c10e9 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0621f95cc8190a3e8619fbf29555a completed April 28, 2026, 7:30 a.m.
Created at: April 16, 2026, 6:52 p.m.