Triple

T1946941
Position Surface form Disambiguated ID Type / Status
Subject Pegas Fly E42074 entity
Predicate alternativeName P39 FINISHED
Object IKAR
IKAR is the former brand name of the Russian airline now known as Pegas Fly, which operates domestic and international passenger services.
 E218159 NE FINISHED

How this triple was built (4 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: IKAR | Statement: [Pegas Fly, alternativeName, IKAR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: IKAR
Context triple: [Pegas Fly, alternativeName, IKAR]
  • A. IKA
    IKA is the three-letter IATA airport code for Tehran Imam Khomeini International Airport, the main international gateway serving Tehran, Iran.
  • B. Iki
    Iki is one of the signature illumination themes of Tokyo Skytree, featuring an elegant, cool-toned lighting design inspired by traditional Edo aesthetics.
  • C. Ikey
    Ikey is a given name, typically a diminutive or variant of Isaac, used as a personal or character name in English-speaking contexts.
  • D. ICHI
    ICHI is a standardized global classification system developed by the World Health Organization to systematically code and describe health interventions across different countries and healthcare settings.
  • E. Ikspiari
    Ikspiari is a themed shopping, dining, and entertainment complex located at Tokyo Disney Resort in Urayasu, Japan.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: IKAR
Triple: [Pegas Fly, alternativeName, IKAR]
Generated description
IKAR is the former brand name of the Russian airline now known as Pegas Fly, which operates domestic and international passenger services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: IKAR
Target entity description: IKAR is the former brand name of the Russian airline now known as Pegas Fly, which operates domestic and international passenger services.
  • A. IKA
    IKA is the three-letter IATA airport code for Tehran Imam Khomeini International Airport, the main international gateway serving Tehran, Iran.
  • B. Iki
    Iki is one of the signature illumination themes of Tokyo Skytree, featuring an elegant, cool-toned lighting design inspired by traditional Edo aesthetics.
  • C. Ikey
    Ikey is a given name, typically a diminutive or variant of Isaac, used as a personal or character name in English-speaking contexts.
  • D. ICHI
    ICHI is a standardized global classification system developed by the World Health Organization to systematically code and describe health interventions across different countries and healthcare settings.
  • E. Ikspiari
    Ikspiari is a themed shopping, dining, and entertainment complex located at Tokyo Disney Resort in Urayasu, Japan.
  • F. None of above. chosen

Provenance (5 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_69a8870e08fc8190a319cbf2600db15f completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb32ebae881908f7541301f0198ae completed March 7, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbbf724081909b24680d483edbd1 completed March 8, 2026, 10:44 p.m.
NEDg Description generation batch_69adfc6aa96c81909ae3cff6c7ab7f79 completed March 8, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69adfcebbc808190a74f9082636bce11 completed March 8, 2026, 10:49 p.m.
Created at: March 4, 2026, 7:36 p.m.