Triple

T6715603
Position Surface form Disambiguated ID Type / Status
Subject Roland Garros Airport E153258 entity
Predicate hubFor P423 FINISHED
Object Air Austral E604338 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 Austral | Statement: [Roland Garros Airport, hubFor, Air Austral]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Air Austral
Context triple: [Roland Garros Airport, hubFor, Air Austral]
  • A. Air Austral chosen
    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.
  • B. Sky Airline
    Sky Airline is a Chilean low-cost carrier that operates domestic and regional flights across South America.
  • C. Air Pacific
    Air Pacific was the former name of Fiji’s national airline, now known as Fiji Airways.
  • D. Virgin Australia
    Virgin Australia is a major Australian airline offering domestic and international passenger services with a focus on full-service amenities and extensive route networks.
  • E. Air New Zealand
    Air New Zealand is the flag carrier airline of New Zealand, known for its extensive domestic and international network and distinctive Kiwi-themed branding and service.
  • 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_69c68809b4608190a2509ddb5ab87f05 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1246b748190aed94e8ab8625f7e completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70096e05c8190abfa90996db37eeb completed March 27, 2026, 10:11 p.m.
Created at: March 27, 2026, 2:07 p.m.