Triple

T8920221
Position Surface form Disambiguated ID Type / Status
Subject RAF Brize Norton E212394 entity
Predicate locatedIn P40 FINISHED
Object Carterton E37630 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: Carterton | Statement: [RAF Brize Norton, locatedIn, Carterton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carterton
Context triple: [RAF Brize Norton, locatedIn, Carterton]
  • A. Carterton chosen
    Carterton is a town in West Oxfordshire, England, known for its proximity to RAF Brize Norton and its role as a growing residential community.
  • B. Carterton District
    Carterton District is a predominantly rural local government area in New Zealand’s lower North Island, known for its small-town communities, agriculture, and location in the Wairarapa.
  • C. Poynton
    Poynton is a town in Cheshire, England, known for its former coal mining industry and distinctive shared-space central junction.
  • D. Coryton
    Coryton is a suburban area and railway terminus in Cardiff, Wales, served by local commuter trains.
  • E. Carsington
    Carsington is a village in Derbyshire, England, known for its proximity to the popular reservoir and leisure destination Carsington Water.
  • 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_69ca839481d48190b42b037e0d0f636c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc664f099c8190be6d20a4574212ca completed April 1, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba4f094c81909a30d3be640ac9e0 completed April 3, 2026, 1:02 p.m.
Created at: March 30, 2026, 6:56 p.m.