Triple

T18212985
Position Surface form Disambiguated ID Type / Status
Subject Olympic Airways E436079 entity
Predicate successor P78 FINISHED
Object Olympic Air 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: Olympic Air | Statement: [Olympic Airways, successor, Olympic Air]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olympic Air
Context triple: [Olympic Airways, successor, 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 (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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e22a26308190a6720b41a9bbfc2d completed April 19, 2026, 2:09 p.m.
Created at: April 10, 2026, 10:32 a.m.