Triple

T5580707
Position Surface form Disambiguated ID Type / Status
Subject Cotswold Airport E146632 entity
Predicate operator P179 FINISHED
Object Cotswold Airport Ltd E146632 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: Cotswold Airport Ltd | Statement: [Cotswold Airport, operator, Cotswold Airport Ltd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cotswold Airport Ltd
Context triple: [Cotswold Airport, operator, Cotswold Airport Ltd]
  • A. Cotswold Airport chosen
    Cotswold Airport is a former Royal Air Force airfield in Gloucestershire, England, now operating as a civilian airport and aviation business hub.
  • B. Bristol Airport Limited
    Bristol Airport Limited is the company responsible for managing and operating Bristol Airport in the United Kingdom.
  • C. Manchester Airports Group
    Manchester Airports Group is a leading UK-based airport operator that owns and manages several major airports, including Manchester, London Stansted, and East Midlands.
  • D. Birmingham Airport Holdings Limited
    Birmingham Airport Holdings Limited is the company that owns and operates Birmingham Airport in the United Kingdom.
  • E. Coventry Airport
    Coventry Airport is a regional airport in the West Midlands of England that has historically handled charter, cargo, and general aviation flights.
  • 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_69c0090287a08190b4098411effe970c completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0206d62548190b8a3c6efc1825661 completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0285baa648190bf8e94740ea62466 completed March 22, 2026, 5:35 p.m.
Created at: March 22, 2026, 3:37 p.m.