Triple

T20464376
Position Surface form Disambiguated ID Type / Status
Subject RAF Tangmere E502008 entity
Predicate locatedIn P40 FINISHED
Object Tangmere 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: Tangmere | Statement: [RAF Tangmere, locatedIn, Tangmere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tangmere
Context triple: [RAF Tangmere, locatedIn, Tangmere]
  • A. Tangmere chosen
    Tangmere is a village in West Sussex, England, best known for its historic RAF airfield and aviation museum.
  • B. Netheravon Airfield
    Netheravon Airfield is a historic British military airfield on Salisbury Plain in Wiltshire, England, long associated with early army aviation and pilot training.
  • C. Chalgrove Airfield
    Chalgrove Airfield is a former Royal Air Force station in Oxfordshire, England, now primarily used for general aviation and flight testing.
  • D. Knockholt
    Knockholt is a rural village in the London Borough of Bromley, England, known for its countryside setting on the edge of Greater London and Kent.
  • E. Dunsfold Aerodrome
    Dunsfold Aerodrome is a historic airfield in Surrey, England, best known as the test site for pioneering British aircraft and later as the filming location for the BBC’s "Top Gear" test track.
  • 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_69e0b4ad4940819098cf2ff6413574e5 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e696a9489081908990c691a36ba04d completed April 20, 2026, 9:12 p.m.
Created at: April 16, 2026, 11:33 a.m.