Triple

T936124
Position Surface form Disambiguated ID Type / Status
Subject Isle of Man Airport E20197 entity
Predicate alternativeName P39 FINISHED
Object Ronaldsway Airport E132335 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: Ronaldsway Airport | Statement: [Isle of Man Airport, alternativeName, Ronaldsway Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ronaldsway Airport
Context triple: [Isle of Man Airport, alternativeName, Ronaldsway Airport]
  • A. Ronaldsway chosen
    Ronaldsway is a locality on the Isle of Man best known as the site of the island’s main airport and associated transport facilities.
  • B. Southend Airport
    Southend Airport is a regional international airport in Essex, England, serving the London area with passenger and cargo flights.
  • C. Luton Airport
    Luton Airport is a major international airport north of London that serves as a key hub for low-cost airlines and short-haul European flights.
  • D. Malton Airport
    Malton Airport was the original name of what is now Toronto Pearson International Airport, Canada’s largest and busiest airport serving the Greater Toronto Area.
  • E. Cessnock Airport
    Cessnock Airport is a regional airfield in the Hunter Valley of New South Wales, Australia, primarily serving general aviation, flight training, and tourism activities such as wine region access and scenic 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_69a493af3dc48190adb7263e6e445ea1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b36558588190a2a9c710073624d1 completed March 1, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7631d5d081909c1229d1b792ddb6 completed March 7, 2026, 7:02 p.m.
Created at: March 1, 2026, 7:40 p.m.