Triple
T12440954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suvarnabhumi Airport |
E297266
|
entity |
| Predicate | servesAsHubFor |
P423
|
FINISHED |
| Object | Thai Vietjet Air |
E199589
|
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 Vietjet Air | Statement: [Suvarnabhumi Airport, servesAsHubFor, Thai Vietjet Air]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thai Vietjet Air Context triple: [Suvarnabhumi Airport, servesAsHubFor, Thai Vietjet Air]
-
A.
VietJet Air
chosen
VietJet Air is a Vietnamese low-cost airline known for its extensive domestic network and rapidly growing international routes across Asia.
-
B.
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.
-
C.
Cambodia Angkor Air
Cambodia Angkor Air is the national flag carrier airline of Cambodia, operating domestic and international flights with a primary base in Phnom Penh.
-
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.
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.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d8ecb6c8190a19cbf9de31cabbd |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f0ea1e48190a11cf94797290156 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:55 p.m.