Triple

T14381408
Position Surface form Disambiguated ID Type / Status
Subject Kadavu Province E356610 entity
Predicate hasAirport P105 FINISHED
Object Vunisea Airport E359032 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: Vunisea Airport | Statement: [Kadavu Province, hasAirport, Vunisea Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vunisea Airport
Context triple: [Kadavu Province, hasAirport, Vunisea Airport]
  • A. Vunisea Airport chosen
    Vunisea Airport is a small public airport serving the island of Kadavu in Fiji, providing domestic connections primarily to and from the capital, Suva.
  • B. Fitiuta Airport
    Fitiuta Airport is a small public airport serving the island of Taʻū in American Samoa, providing essential air connectivity for local residents and visitors.
  • C. Buala Airport
    Buala Airport is a small regional airfield serving the town of Buala on Santa Isabel Island in the Solomon Islands.
  • D. Savusavu Airport
    Savusavu Airport is a small domestic airport serving the town of Savusavu on the Fijian island of Vanua Levu.
  • E. Vilankulo Airport
    Vilankulo Airport is a regional airport in Vilankulo, Mozambique, serving as a key gateway for tourists traveling to the nearby Bazaruto Archipelago and surrounding coastal attractions.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de900bbfb08190a1e56f281a2374c0 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5be63848190aa71f009ceaea1b3 completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:16 a.m.