Triple

T873339
Position Surface form Disambiguated ID Type / Status
Subject Aeroflot E18861 entity
Predicate safetyCertification P17338 FINISHED
Object IOSA registered operator LITERAL 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: IOSA registered operator | Statement: [Aeroflot, safetyCertification, IOSA registered operator]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: safetyCertification
Context triple: [Aeroflot, safetyCertification, IOSA registered operator]
  • A. hasSafetyRegulationCompliance chosen
    Indicates that an entity adheres to, satisfies, or is in conformity with specified safety regulations or standards.
  • B. certificationBy
    Indicates that one entity formally attests to, approves, or validates the qualifications, standards, or authenticity of another entity.
  • C. hasEnvironmentalCertification
    Indicates that an entity possesses a recognized environmental certification or accreditation attesting to its compliance with specified environmental standards or practices.
  • D. certificationUS
    Indicates that an entity holds or is associated with a certification that is recognized, issued, or valid within the United States.
  • E. certificationUK
    Indicates that an entity holds or is associated with a certification that is specifically recognized or issued within the United Kingdom.
  • F. None of above.

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_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac97d0f88190b67fcb7fc058e4b9 completed March 1, 2026, 9:16 p.m.
PD Predicate disambiguation batch_69a4aa8b9b5c81909ac71904f8b8b5cd completed March 1, 2026, 9:07 p.m.
Created at: March 1, 2026, 7:39 p.m.