Triple

T17943257
Position Surface form Disambiguated ID Type / Status
Subject SSJ100 E448636 entity
Predicate primaryOperator P5623 FINISHED
Object Yakutia Airlines NE NERFINISHED

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: Yakutia Airlines | Statement: [SSJ100, primaryOperator, Yakutia Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yakutia Airlines
Context triple: [SSJ100, primaryOperator, Yakutia Airlines]
  • A. Yakutia Airlines chosen
    Yakutia Airlines is a Russian regional carrier based in the Sakha Republic that operates domestic and limited international flights, including services in remote Arctic and Far Eastern regions.
  • B. 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.
  • C. Yamal Airlines
    Yamal Airlines is a Russian regional airline based in the Yamalo-Nenets Autonomous Okrug that operates domestic and some international passenger services.
  • D. Angara Airlines
    Angara Airlines is a Russian regional airline based in Siberia that operates passenger and cargo flights, primarily serving destinations across eastern Russia.
  • E. Arkhangelsk Airlines
    Arkhangelsk Airlines was a Russian regional airline based in Arkhangelsk that later became known as Nordavia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4ad97611c8190a861467ae51f6c48 completed April 19, 2026, 10:25 a.m.
Created at: April 10, 2026, 10:21 a.m.