Triple

T23151932
Position Surface form Disambiguated ID Type / Status
Subject Ilyushin Il-76 E578343 entity
Predicate usedBy P260 FINISHED
Object Uzbekistan Airways NE NERFINISHED

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: Uzbekistan Airways | Statement: [Ilyushin Il-76, usedBy, Uzbekistan Airways]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uzbekistan Airways
Context triple: [Ilyushin Il-76, usedBy, Uzbekistan Airways]
  • A. Uzbekistan Airways chosen
    Uzbekistan Airways is the national flag carrier airline of Uzbekistan, operating domestic and international passenger and cargo flights from its main hub in Tashkent.
  • B. Turkmenistan Airlines
    Turkmenistan Airlines is the state-owned flag carrier of Turkmenistan, operating domestic and international passenger flights primarily from Ashgabat and regional hubs.
  • C. Oʻzbekiston Line
    Oʻzbekiston Line is one of the main lines of the Tashkent Metro, serving key districts of Uzbekistan’s capital city.
  • D. Tajik Air
    Tajik Air is the national flag carrier airline of Tajikistan, operating domestic and international flights primarily from its base in Dushanbe.
  • E. Azerbaijan Airlines
    Azerbaijan Airlines is the national flag carrier airline of Azerbaijan, providing domestic and international passenger and cargo services primarily based out of Baku.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245fb8de081908f0eba7b5fd75bc4 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18ef982488190984a6358bdcd577c completed April 29, 2026, 4:54 a.m.
Created at: April 17, 2026, 4:01 p.m.