Triple

T6734411
Position Surface form Disambiguated ID Type / Status
Subject Da Nang International Airport E153715 entity
Predicate servesAirlines P12356 FINISHED
Object Bamboo Airways E201595 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: Bamboo Airways | Statement: [Da Nang International Airport, servesAirlines, Bamboo Airways]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bamboo Airways
Context triple: [Da Nang International Airport, servesAirlines, Bamboo Airways]
  • A. Bamboo Airways chosen
    Bamboo Airways is a Vietnamese airline known for operating domestic and international flights with a hybrid service model that blends low-cost and full-service features.
  • B. VietJet Air
    VietJet Air is a Vietnamese low-cost airline known for its extensive domestic network and rapidly growing international routes across Asia.
  • C. 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.
  • D. Loong Air
    Loong Air is a Chinese passenger and cargo airline based in Hangzhou that operates domestic and regional routes across Asia.
  • E. Vietnam Airlines
    Vietnam Airlines is the national flag carrier of Vietnam, operating an extensive network of domestic and international flights across Asia, Europe, and other regions.
  • 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_69c6880bdd68819097de8b6099992682 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d16d51dc8190869167d86e8f081f completed March 27, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a749d4c81908c9b2d4cf1e0f606 completed March 28, 2026, 12:01 a.m.
Created at: March 27, 2026, 2:09 p.m.