Triple

T15863110
Position Surface form Disambiguated ID Type / Status
Subject Southern Queensland E384638 entity
Predicate hasAirport P105 FINISHED
Object Brisbane Airport E62290 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: Brisbane Airport | Statement: [Southern Queensland, hasAirport, Brisbane Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brisbane Airport
Context triple: [Southern Queensland, hasAirport, Brisbane Airport]
  • A. Brisbane Airport chosen
    Brisbane Airport is a major international and domestic airport in Queensland, Australia, serving Brisbane and acting as a key hub for several airlines.
  • B. Griffith Airport
    Griffith Airport is a regional airport serving the city of Griffith and the surrounding Riverina area in New South Wales, Australia.
  • C. Gold Coast Airport
    Gold Coast Airport is a major international and domestic airport serving Australia’s Gold Coast region and parts of northern New South Wales.
  • D. St George Airport
    St George Airport is a regional airport serving the town of St George in southwestern Queensland, Australia, providing essential air transport links for passengers and freight.
  • E. Parkes Airport
    Parkes Airport is a regional airport in New South Wales, Australia, serving the town of Parkes with domestic flights and general aviation services.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1555d38fc8190bd8820bb5b238b71 completed April 16, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0035450810819092796c556dfa8ed3 completed May 10, 2026, 7:35 a.m.
Created at: April 10, 2026, 4:50 a.m.