Triple

T17284679
Position Surface form Disambiguated ID Type / Status
Subject SKY PERU E419621 entity
Predicate associatedWith P37 FINISHED
Object Sky Airline E97719 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: Sky Airline | Statement: [SKY PERU, associatedWith, Sky Airline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sky Airline
Context triple: [SKY PERU, associatedWith, Sky Airline]
  • A. Sky Airline chosen
    Sky Airline is a Chilean low-cost carrier that operates domestic and regional flights across South America.
  • B. ATA Airlines
    ATA Airlines is an Iranian airline that operates domestic and regional flights, using Mehrabad International Airport in Tehran as one of its main bases.
  • C. Kel Air
    Kel Air is a Tuareg confederation inhabiting the Aïr Mountains region of northern Niger, known for its nomadic pastoralist traditions and historical role in Saharan trade.
  • D. Cronos Airlines
    Cronos Airlines is an Equatorial Guinea-based carrier that uses Malabo International Airport as its primary hub for regional and possibly limited international flights.
  • E. Lauda Air
    Lauda Air was an Austrian airline established by Formula One champion Niki Lauda that operated scheduled and charter flights, later becoming part of Austrian Airlines.
  • 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_69d886da626481908a14ce7830329a35 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e4332cabdc8190bbc711ab806d53bf completed April 19, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a017955448481909c2464a14c2a9799 completed May 11, 2026, 6:38 a.m.
Created at: April 10, 2026, 5:40 a.m.