Triple
T16405518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AirAsia |
E398414
|
entity |
| Predicate | relaunchAsLowCostCarrier |
P123299
|
FINISHED |
| Object | 2001 |
—
|
LITERAL 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: 2001 | Statement: [AirAsia, relaunchAsLowCostCarrier, 2001]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relaunchAsLowCostCarrier Context triple: [AirAsia, relaunchAsLowCostCarrier, 2001]
-
A.
reopenedAsMainLowCostAirport
Indicates that an airport has been reopened and designated as the primary low-cost (budget) airport for a given area or city.
-
B.
hasLowCostCarrierFocus
Indicates that the subject is primarily oriented toward or strategically focused on serving low-cost carrier operations.
-
C.
hasLowCostCarrierOperations
Indicates that an entity operates or is served by low-cost (budget) airline services.
-
D.
introducedAsLowCostModel
Indicates that something was initially presented or launched as a low-cost version or option within its category.
-
E.
isLowCost
Indicates that something requires relatively little expenditure of money or resources compared to alternatives.
- F. None of above. chosen
Provenance (4 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e327d2b4e48190b7153f198639e9cd |
completed | April 18, 2026, 6:42 a.m. |
| PD | Predicate disambiguation | batch_69e226fe1dd08190865c181721f8c348 |
completed | April 17, 2026, 12:26 p.m. |
| PDg | Predicate description generation | batch_69e24555bb6c8190977cf5c5f9149056 |
completed | April 17, 2026, 2:36 p.m. |
Created at: April 10, 2026, 5:09 a.m.