Triple
T7365842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaohsiung International Airport |
E169866
|
entity |
| Predicate | isHubFor |
P423
|
FINISHED |
| Object | Uni Air |
E269183
|
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: Uni Air | Statement: [Kaohsiung International Airport, isHubFor, Uni Air]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uni Air Context triple: [Kaohsiung International Airport, isHubFor, Uni Air]
-
A.
UNI Air
chosen
UNI Air is a Taiwanese regional airline that operates domestic and short-haul international flights, particularly within East Asia.
-
B.
Kel Air
Kel Air is a Tuareg confederation inhabiting the Aïr Mountains region of northern Niger, known for its nomadic pastoralist traditions and historical role in Saharan trade.
-
C.
Flair Airlines
Flair Airlines is a Canadian ultra-low-cost carrier that operates domestic and select international flights, emphasizing budget-friendly travel options.
-
D.
ATA Airlines
ATA Airlines is an Iranian airline that operates domestic and regional flights, using Mehrabad International Airport in Tehran as one of its main bases.
-
E.
Sky Airline
Sky Airline is a Chilean low-cost carrier that operates domestic and regional flights across South America.
- 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_69c68a5ade988190885b7175f63b7534 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f163038481909dedbffb4ae7f860 |
completed | March 27, 2026, 9:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7fab9820c8190aa8b519a0852af6e |
completed | March 28, 2026, 3:58 p.m. |
Created at: March 27, 2026, 3:06 p.m.