Triple

T19827364
Position Surface form Disambiguated ID Type / Status
Subject St Mary the Virgin Church, Bampton E476360 entity
Predicate ecclesiasticalParish P8670 FINISHED
Object Bampton 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: Bampton | Statement: [St Mary the Virgin Church, Bampton, ecclesiasticalParish, Bampton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bampton
Context triple: [St Mary the Virgin Church, Bampton, ecclesiasticalParish, Bampton]
  • A. Bampton chosen
    Bampton is a historic village in Oxfordshire, England, known for its traditional Cotswold architecture and as a filming location for the television series "Downton Abbey."
  • B. Bampton
    Bampton is a small historic town in Devon, England, known for its rural charm and proximity to the River Exe and Exmoor National Park.
  • C. Bathampton
    Bathampton is a village near Bath in Somerset, England, known for its historic parish church, canalside setting, and picturesque rural character.
  • D. Bassingham
    Bassingham is a small rural village and civil parish in the North Kesteven district of Lincolnshire, England.
  • E. Northbourne
    Northbourne is a small village and civil parish in Kent, England, known for its rural character and historic church.
  • 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e656cb20788190b9deac6b8af6a55d completed April 20, 2026, 4:39 p.m.
Created at: April 10, 2026, 1:50 p.m.