Triple

T1854974
Position Surface form Disambiguated ID Type / Status
Subject S7 Airlines E41680 entity
Predicate foundedAs P364 FINISHED
Object Siberia Airlines E207518 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: Siberia Airlines | Statement: [S7 Airlines, foundedAs, Siberia Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siberia Airlines
Context triple: [S7 Airlines, foundedAs, Siberia Airlines]
  • A. Siberia Airlines chosen
    Siberia Airlines, now known as S7 Airlines, is a major Russian airline that operates domestic and international flights with a primary hub in Novosibirsk.
  • B. Ural Airlines
    Ural Airlines is a Russian airline based in Yekaterinburg that operates domestic and international passenger flights across Europe, Asia, and the Middle East.
  • 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. Rossiya Airlines
    Rossiya Airlines is a Russian airline based in Saint Petersburg that operates domestic and international passenger flights as part of the Aeroflot Group.
  • E. Aeroflot
    Aeroflot is Russia's largest and flag-carrying airline, headquartered in Moscow and operating an extensive network of domestic and international flights.
  • 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_69a8864a83848190a4ec02721306c511 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb07d48c48190bcd34d6093ff5e78 completed March 7, 2026, 4:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf4bda58819088adab01ca10254f completed March 8, 2026, 8:42 p.m.
Created at: March 4, 2026, 7:33 p.m.