Triple

T17548265
Position Surface form Disambiguated ID Type / Status
Subject Virgin Atlantic Flying Club E427385 entity
Predicate partnerAirline P36374 FINISHED
Object ITA 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: ITA Airways | Statement: [Virgin Atlantic Flying Club, partnerAirline, ITA Airways]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ITA Airways
Context triple: [Virgin Atlantic Flying Club, partnerAirline, ITA Airways]
  • A. ITA Airways chosen
    ITA Airways is Italy’s national flag carrier airline, operating domestic and international flights across Europe and beyond.
  • B. Alia Airlines
    Alia Airlines was the original name of Royal Jordanian, the flag carrier airline of Jordan.
  • C. Hunnu Air
    Hunnu Air is a Mongolian airline that operates domestic and regional international flights, primarily serving as a key carrier based in Ulaanbaatar.
  • D. Adria Airways
    Adria Airways was the former national airline of Slovenia, operating scheduled and charter flights across Europe before ceasing operations in 2019.
  • E. Pegasus Airlines
    Pegasus Airlines is a Turkish low-cost carrier based in Istanbul that operates an extensive network of domestic and international flights across Europe, the Middle East, and beyond.
  • 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e454631e148190a1d46a6ecb79c71a completed April 19, 2026, 4:04 a.m.
Created at: April 10, 2026, 5:49 a.m.