Triple

T11095248
Position Surface form Disambiguated ID Type / Status
Subject Royal Silk Class E262360 entity
Predicate associatedWithBrand P2830 FINISHED
Object Thai Airways E50293 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: Thai Airways | Statement: [Royal Silk Class, associatedWithBrand, Thai Airways]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thai Airways
Context triple: [Royal Silk Class, associatedWithBrand, Thai Airways]
  • A. Thai Airways International chosen
    Thai Airways International is the flag carrier airline of Thailand, operating an extensive network of domestic and international flights from its main hub in Bangkok.
  • B. 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.
  • C. Nok Air
    Nok Air is a Thai low-cost airline based in Bangkok that primarily operates domestic flights and is known for its brightly painted, bird-themed aircraft.
  • D. Thai AirAsia
    Thai AirAsia is a Thai low-cost airline operating domestic and international flights, and is part of the wider AirAsia group based in Southeast Asia.
  • E. 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.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a0897188190b6c293b44990b3d4 completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e6e6e19c9c81909d114cf9bd0e2f84 completed April 21, 2026, 2:54 a.m.
Created at: April 8, 2026, 9:27 p.m.