Triple

T10665860
Position Surface form Disambiguated ID Type / Status
Subject ALA E251355 entity
Predicate servesAsFocusCityFor P1655 FINISHED
Object Qazaq Air E857605 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: Qazaq Air | Statement: [ALA, servesAsFocusCityFor, Qazaq Air]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qazaq Air
Context triple: [ALA, servesAsFocusCityFor, Qazaq Air]
  • A. Qazaq Air chosen
    Qazaq Air is a regional airline of Kazakhstan that operates domestic routes connecting major cities and remote regions across the country.
  • B. Air Astana
    Air Astana is the flag carrier airline of Kazakhstan, operating domestic and international flights primarily from its main bases in Astana and Almaty.
  • C. Angara Airlines
    Angara Airlines is a Russian regional airline based in Siberia that operates passenger and cargo flights, primarily serving destinations across eastern Russia.
  • D. Alia Airlines
    Alia Airlines was the original name of Royal Jordanian, the flag carrier airline of Jordan.
  • E. Siberia Airlines
    Siberia Airlines, now known as S7 Airlines, is a major Russian airline that operates domestic and international flights with a primary hub in Novosibirsk.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f31f87748190bb44db8afa901763 completed April 9, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbacf1a43c8190869f4a64f9d6a26c completed April 12, 2026, 2:32 p.m.
Created at: April 8, 2026, 9:08 p.m.