Triple

T17287799
Position Surface form Disambiguated ID Type / Status
Subject Freebird Airlines Europe E419703 entity
Predicate parentOrganization P254 FINISHED
Object Freebird Airlines E419703 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: Freebird Airlines | Statement: [Freebird Airlines Europe, parentOrganization, Freebird Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Freebird Airlines
Context triple: [Freebird Airlines Europe, parentOrganization, Freebird Airlines]
  • A. Freebird Airlines chosen
    Freebird Airlines is a Turkish charter airline that primarily operates leisure flights between Turkey and various destinations in Europe and the Middle East.
  • B. Eagle Airways
    Eagle Airways was a British airline that operated regional and charter passenger services in the mid-20th century.
  • C. Sunclass Airlines
    Sunclass Airlines is a Danish leisure airline that primarily operates charter flights from Scandinavia to popular holiday destinations in Europe and beyond.
  • D. Sunrise Airways
    Sunrise Airways is a Haitian airline that operates regional passenger flights throughout the Caribbean, with its main base in Port-au-Prince.
  • E. Eastern Airways
    Eastern Airways is a British regional airline operating scheduled passenger services across the United Kingdom and parts of Europe.
  • 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e43780fad88190b82193c8335e2f11 completed April 19, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180d49ff08190bd73245adfb86760 completed May 11, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:40 a.m.