Triple

T11845181
Position Surface form Disambiguated ID Type / Status
Subject Cathay Dragon E281756 entity
Predicate formerName P65 FINISHED
Object Dragonair E862088 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: Dragonair | Statement: [Cathay Dragon, formerName, Dragonair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dragonair
Context triple: [Cathay Dragon, formerName, Dragonair]
  • A. Dragonair chosen
    Dragonair was a Hong Kong-based regional airline, later rebranded as Cathay Dragon, that primarily operated flights within Asia.
  • B. Malindo Air
    Malindo Air is a Malaysian hybrid full-service and low-cost airline that became the first operator of the Boeing 737 MAX 8.
  • C. Cebu Pacific
    Cebu Pacific is a major low-cost airline based in the Philippines, known for operating extensive domestic and regional routes across Asia.
  • D. Pan Asia Airlines
    Pan Asia Airlines was the original name of the Japanese regional carrier now known as Solaseed Air, which operates domestic flights primarily in Kyushu and Okinawa.
  • E. Akasa Air
    Akasa Air is an Indian low-cost airline that began operations in 2022, offering domestic flights with a focus on affordable fares and a modern fleet.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a65b5ff08190bb58361f6a6acdca completed April 10, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69f4716d92c881908d45cb7b3babb1f7 completed May 1, 2026, 9:25 a.m.
Created at: April 8, 2026, 9:43 p.m.