Triple

T1533971
Position Surface form Disambiguated ID Type / Status
Subject Vietnam Airlines E32508 entity
Predicate callsign P1565 FINISHED
Object Vietnam Airlines E32508 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: Vietnam Airlines | Statement: [Vietnam Airlines, callsign, Vietnam Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vietnam Airlines
Context triple: [Vietnam Airlines, callsign, Vietnam Airlines]
  • A. Vietnam Airlines chosen
    Vietnam Airlines is the national flag carrier of Vietnam, operating an extensive network of domestic and international flights across Asia, Europe, and other regions.
  • B. 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.
  • C. Asia Pacific Airlines
    Asia Pacific Airlines is a cargo and charter airline based in Guam that primarily serves destinations across Micronesia and the Western Pacific region.
  • D. 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.
  • E. Jin Air
    Jin Air is a South Korean low-cost airline that operates domestic and international passenger flights.
  • 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_69a885ea86308190998f6bc14bb91f8e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa61f8df00819086f34847e2170e12 completed March 6, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad295a03d881909071fb437c2d19ba completed March 8, 2026, 7:46 a.m.
Created at: March 4, 2026, 7:26 p.m.