Triple

T14279205
Position Surface form Disambiguated ID Type / Status
Subject Hiva Oa Airport E353996 entity
Predicate isServedBy P1293 FINISHED
Object Air Tahiti E671277 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: Air Tahiti | Statement: [Hiva Oa Airport, isServedBy, Air Tahiti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Air Tahiti
Context triple: [Hiva Oa Airport, isServedBy, Air Tahiti]
  • A. Air Tahiti chosen
    Air Tahiti is a regional airline based in French Polynesia that operates domestic and inter-island flights across the territory’s archipelagos.
  • B. Air Tahiti Nui
    Air Tahiti Nui is a French Polynesian airline that operates long-haul international flights, primarily connecting Tahiti with major destinations such as Los Angeles, Paris, and Auckland.
  • C. Air Pacific
    Air Pacific was the former name of Fiji’s national airline, now known as Fiji Airways.
  • D. Samoa Airways
    Samoa Airways is the national airline of Samoa, operating regional passenger services across the South Pacific.
  • E. Air Austral
    Air Austral is a French airline based in Réunion that operates regional and long-haul flights primarily within the Indian Ocean region and to Europe.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6585270c8190a717127b2f5dab3b completed April 14, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd32719ecc8190b57aad5197521359 completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:10 a.m.