Triple

T5825814
Position Surface form Disambiguated ID Type / Status
Subject RAF Brize Norton E129219 entity
Predicate near P350 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, near, Carterton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carterton
Context triple: [RAF Brize Norton, near, 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_69c00849d55481908b4f9f5543e0bf6d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0341caa70819087808564e16109b0 completed March 22, 2026, 6:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a188e5c08190abbc283eff193761 completed March 23, 2026, 2:12 a.m.
Created at: March 22, 2026, 3:53 p.m.