Triple

T4057093
Position Surface form Disambiguated ID Type / Status
Subject Antalya Airport E84719 entity
Predicate hubFor P423 FINISHED
Object SunExpress E285094 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: SunExpress | Statement: [Antalya Airport, hubFor, SunExpress]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SunExpress
Context triple: [Antalya Airport, hubFor, SunExpress]
  • A. SunExpress chosen
    SunExpress is a Turkish-German leisure airline that primarily operates holiday and charter flights, especially to and from Turkey and popular European destinations.
  • B. Batik Air
    Batik Air is an Indonesian full-service airline operating domestic and regional flights as part of the Lion Air Group.
  • C. Crossair
    Crossair was a former Swiss regional airline that served as the main predecessor to Swiss International Air Lines after the collapse of Swissair.
  • D. Virgin Express
    Virgin Express was a Belgian low-cost airline that operated primarily from Brussels in the 1990s and early 2000s before being merged into Brussels Airlines.
  • E. Sky Airline
    Sky Airline is a Chilean low-cost carrier that operates domestic and regional flights across South America.
  • 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_69aed933bec881909edfa28ebb69c634 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbad953c81909d7b42fae5db9f25 completed March 9, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562a390e4819095cc06f15f6da3b8 completed March 14, 2026, 1:29 p.m.
Created at: March 9, 2026, 3:38 p.m.