Triple

T18134116
Position Surface form Disambiguated ID Type / Status
Subject Suva Airport E434091 entity
Predicate hasAlternativeName P39 FINISHED
Object Nausori Airport 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: Nausori Airport | Statement: [Suva Airport, hasAlternativeName, Nausori Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nausori Airport
Context triple: [Suva Airport, hasAlternativeName, Nausori Airport]
  • A. Nausori International Airport chosen
    Nausori International Airport is a major airport in Fiji serving the capital city Suva and acting as an important regional and domestic aviation gateway.
  • B. Aitutaki Airport
    Aitutaki Airport is a small regional airport in the Cook Islands that serves as the main air gateway for tourists visiting the lagoon island of Aitutaki.
  • C. Gisborne Airport
    Gisborne Airport is a regional airport on New Zealand’s North Island known for its unique runway intersected by an active railway line.
  • D. Marakei Airport
    Marakei Airport is a small regional airfield serving the island of Marakei in Kiribati, providing essential air transport links for local residents and visitors.
  • E. Taupo Airport
    Taupo Airport is a regional airport in Taupō, New Zealand, serving domestic flights and general aviation near the shores of Lake Taupō.
  • 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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de055c608190a090c2737904e5f9 completed April 19, 2026, 1:52 p.m.
Created at: April 10, 2026, 10:29 a.m.