Triple

T4990080
Position Surface form Disambiguated ID Type / Status
Subject Tabiteuea E112107 entity
Predicate airlineService P59282 FINISHED
Object Air Kiribati E461374 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 Kiribati | Statement: [Tabiteuea, airlineService, Air Kiribati]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Air Kiribati
Context triple: [Tabiteuea, airlineService, Air Kiribati]
  • A. Air Kiribati chosen
    Air Kiribati is the national airline of Kiribati, operating domestic and limited international flights across the central Pacific island nation.
  • B. Air Pacific
    Air Pacific was the former name of Fiji’s national airline, now known as Fiji Airways.
  • C. Samoa Airways
    Samoa Airways is the national airline of Samoa, operating regional passenger services across the South Pacific.
  • D. Fiji Airways
    Fiji Airways is the national airline of Fiji, operating regional and international flights primarily across the South Pacific, Australia, New Zealand, Asia, and North America.
  • E. Kish Air
    Kish Air is an Iranian airline that operates domestic and regional flights, particularly serving routes to and from the resort island of Kish in the Persian Gulf.
  • 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_69bd441be7bc8190b530362d427b97d2 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd727fe55881909d42e41b832b9ece completed March 20, 2026, 4:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be8a282dd08190a29b92e8e825a3bb completed March 21, 2026, 12:08 p.m.
Created at: March 20, 2026, 1:34 p.m.