Triple

T19459513
Position Surface form Disambiguated ID Type / Status
Subject Nuku Hiva Airport E486829 entity
Predicate primaryAirlineService P12356 FINISHED
Object Air Tahiti 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: Air Tahiti | Statement: [Nuku Hiva Airport, primaryAirlineService, Air Tahiti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Air Tahiti
Context triple: [Nuku Hiva Airport, primaryAirlineService, 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 (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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633c6c55c8190965ada884f17c800 completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:38 p.m.