Triple

T7716019
Position Surface form Disambiguated ID Type / Status
Subject Lotusmiles E174884 entity
Predicate operator P179 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: [Lotusmiles, operator, Vietnam Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vietnam Airlines
Context triple: [Lotusmiles, operator, 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. VietJet Air
    VietJet Air is a Vietnamese low-cost airline known for its extensive domestic network and rapidly growing international routes across Asia.
  • C. Bamboo Airways
    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.
  • D. 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.
  • E. Airports Corporation of Vietnam
    Airports Corporation of Vietnam is a state-owned enterprise that manages and operates numerous civil airports and airfields across Vietnam.
  • 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_69c6995c463c8190a14458036249d419 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702cd0ddc8190aa23d998f55d0bd6 completed March 27, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8fa2a4d388190bbc037a3f89bbf49 completed March 29, 2026, 10:08 a.m.
Created at: March 27, 2026, 4:04 p.m.