Triple

T11237779
Position Surface form Disambiguated ID Type / Status
Subject Royal Laurel Class E265987 entity
Predicate airline P9049 FINISHED
Object EVA Air E52986 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: EVA Air | Statement: [Royal Laurel Class, airline, EVA Air]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EVA Air
Context triple: [Royal Laurel Class, airline, EVA Air]
  • A. EVA Air chosen
    EVA Air is a major Taiwanese international airline known for its extensive global route network, high service standards, and innovative themed flights such as its Hello Kitty jets.
  • B. SilkAir
    SilkAir was a regional airline based in Singapore and a former full-service subsidiary of Singapore Airlines, operating short- and medium-haul routes across Asia-Pacific.
  • C. Bangkok Airways
    Bangkok Airways is a regional airline based in Thailand that operates scheduled services across Asia, often marketing itself as a boutique carrier with full-service amenities.
  • D. Dragonair
    Dragonair was a Hong Kong-based regional airline, later rebranded as Cathay Dragon, that primarily operated flights within Asia.
  • E. 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.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e918375081908c2a7ccb50cbf331 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e6e6e19c9c81909d114cf9bd0e2f84 completed April 21, 2026, 2:54 a.m.
Created at: April 8, 2026, 9:30 p.m.