Triple

T12531900
Position Surface form Disambiguated ID Type / Status
Subject Miles+Bonus E299588 entity
Predicate servesAirline P12356 FINISHED
Object Olympic Air E299586 NE 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: Olympic Air | Statement: [Miles+Bonus, servesAirline, Olympic Air]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olympic Air
Context triple: [Miles+Bonus, servesAirline, Olympic Air]
  • A. Olympic Air chosen
    Olympic Air is a Greek regional airline that operates domestic and short-haul international flights, now functioning as a subsidiary brand under Aegean Airlines.
  • B. Cyprus Airways
    Cyprus Airways is the former national flag carrier airline of Cyprus, historically operating regional and international flights from the island.
  • C. Astraeus Airlines
    Astraeus Airlines was a UK-based charter and wet-lease airline known for employing Iron Maiden frontman Bruce Dickinson as a commercial pilot.
  • D. Aegean Airlines
    Aegean Airlines is the largest Greek airline, operating an extensive network of domestic and international flights across Europe and the Eastern Mediterranean.
  • E. Hunnu Air
    Hunnu Air is a Mongolian airline that operates domestic and regional international flights, primarily serving as a key carrier based in Ulaanbaatar.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9546b8fd48190ae90e80785b2e2d1 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bc8866c81908821525b595715e2 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.