Triple

T9101193
Position Surface form Disambiguated ID Type / Status
Subject Pegas Touristik E218158 entity
Predicate associatedWith P37 FINISHED
Object Nordwind Airlines E44678 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: Nordwind Airlines | Statement: [Pegas Touristik, associatedWith, Nordwind Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nordwind Airlines
Context triple: [Pegas Touristik, associatedWith, Nordwind Airlines]
  • A. Nordwind Airlines chosen
    Nordwind Airlines is a Russian leisure and charter airline that primarily operates holiday and tourist flights from major hubs such as Moscow.
  • B. SkyUp Airlines
    SkyUp Airlines is a Ukrainian low-cost carrier known for operating domestic and international flights across Europe, the Middle East, and other regions.
  • C. Spring Airlines
    Spring Airlines is a Chinese low-cost carrier headquartered in Shanghai, known for operating budget-friendly domestic and regional flights, particularly within East Asia.
  • D. Globus Airlines
    Globus Airlines is a Russian airline that operated passenger services, primarily within Russia and nearby regions, as part of the S7 Group.
  • E. Red Wings Airlines
    Red Wings Airlines is a Russian passenger airline that operates scheduled and charter flights, primarily within Russia and to nearby international destinations.
  • 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_69ca83d9844081908e561e367fda6d45 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc971435d08190b5007ed44ac0a364 completed April 1, 2026, 3:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69d030201a048190a3a1166d23c5ae67 completed April 3, 2026, 9:24 p.m.
Created at: March 30, 2026, 7:15 p.m.