Triple

T12500310
Position Surface form Disambiguated ID Type / Status
Subject Bangkok Airways E298802 entity
Predicate callsign P1565 FINISHED
Object BANGKOK AIR E298802 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: BANGKOK AIR | Statement: [Bangkok Airways, callsign, BANGKOK AIR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BANGKOK AIR
Context triple: [Bangkok Airways, callsign, BANGKOK AIR]
  • A. Bangkok Airways chosen
    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.
  • B. 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.
  • C. Thai Airways International
    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.
  • 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. EVA Air
    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.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dfbb2a48190a231b02cfa990565 completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6685bafcc8190beae748d979762e1 completed May 2, 2026, 9:10 p.m.
Created at: April 8, 2026, 9:57 p.m.