Triple

T15054382
Position Surface form Disambiguated ID Type / Status
Subject Western Downs Region E379448 entity
Predicate hasAirport P105 FINISHED
Object Dalby Airport E1099654 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: Dalby Airport | Statement: [Western Downs Region, hasAirport, Dalby Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dalby Airport
Context triple: [Western Downs Region, hasAirport, Dalby Airport]
  • A. Dalby Airport chosen
    Dalby Airport is a regional airfield serving the town of Dalby in Queensland, Australia, primarily handling general aviation and agricultural flights.
  • B. Billund Airport
    Billund Airport is an international airport in central Jutland, Denmark, serving as a major gateway for both passenger travel and cargo, and providing access to attractions such as LEGOLAND Billund.
  • C. Spilve Airport
    Spilve Airport is a historic former main airport of Riga, Latvia, which served as the city’s primary airfield before operations moved to Riga International Airport.
  • D. Vadsø Airport
    Vadsø Airport is a small regional airport in Vadsø, Norway, providing domestic air connections within the northern part of the country.
  • E. Hokksund Airport
    Hokksund Airport is a small general aviation airfield serving the town of Hokksund in Norway.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69deda92091c81909180f486edf01405 completed April 15, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5bdeee48190949b0fe63eb6a21a completed May 9, 2026, 3:10 a.m.
Created at: April 10, 2026, 3:01 a.m.