Triple

T9252256
Position Surface form Disambiguated ID Type / Status
Subject Ikar Airlines E222352 entity
Predicate ICAOcode P419 FINISHED
Object IKR
IKR is the ICAO airline designator assigned to the Russian charter carrier Ikar Airlines (also known as Pegas Fly).
 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: IKR | Statement: [Ikar Airlines, ICAOcode, IKR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: IKR
Context triple: [Ikar Airlines, ICAOcode, IKR]
  • A. IKAR
    IKAR is the former brand name of the Russian airline now known as Pegas Fly, which operates domestic and international passenger services.
  • B. IRK
    IRK is the ICAO airline designator assigned to Kish Air, an Iranian regional airline based on Kish Island.
  • C. IK
    IK is the IATA airport code for IKAR, identifying it within the international air transport system.
  • D. KIKR
    KIKR is the ICAO airport code for Kirtland Air Force Base, a major United States Air Force installation located in Albuquerque, New Mexico.
  • E. IKE
    IKE (Internet Key Exchange) is a protocol used to set up secure, authenticated communication channels and negotiate cryptographic keys, most notably for IPsec VPNs.
  • 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: IKR
Triple: [Ikar Airlines, ICAOcode, IKR]
Generated description
IKR is the ICAO airline designator assigned to the Russian charter carrier Ikar Airlines (also known as Pegas Fly).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: IKR
Target entity description: IKR is the ICAO airline designator assigned to the Russian charter carrier Ikar Airlines (also known as Pegas Fly).
  • A. IKAR chosen
    IKAR is the former brand name of the Russian airline now known as Pegas Fly, which operates domestic and international passenger services.
  • B. IRK
    IRK is the ICAO airline designator assigned to Kish Air, an Iranian regional airline based on Kish Island.
  • C. IK
    IK is the IATA airport code for IKAR, identifying it within the international air transport system.
  • D. KIKR
    KIKR is the ICAO airport code for Kirtland Air Force Base, a major United States Air Force installation located in Albuquerque, New Mexico.
  • E. IKE
    IKE (Internet Key Exchange) is a protocol used to set up secure, authenticated communication channels and negotiate cryptographic keys, most notably for IPsec VPNs.
  • F. None of above.

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_69ca841d2b18819089f9faf5b2c2aec0 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd05fb1454819098f452846ca4ca61 completed April 1, 2026, 11:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0780650648190bc85452678268134 completed April 4, 2026, 2:31 a.m.
NEDg Description generation batch_69d080275cdc8190bb900671756bacb8 completed April 4, 2026, 3:06 a.m.
NED2 Entity disambiguation (via description) batch_69d080c936348190a3bfda72ff5ec5c0 completed April 4, 2026, 3:08 a.m.
Created at: March 30, 2026, 7:31 p.m.