Triple
T37367300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ariana Afghan Airlines |
E927746
|
entity |
| Predicate | primaryServiceRegions |
—
|
GENERATED |
| Object | Asia |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryServiceRegions Context triple: [Ariana Afghan Airlines, primaryServiceRegions, Asia]
-
A.
primaryHubRegion
Indicates that a given region serves as the main or central hub location for an entity or system.
-
B.
primaryCountryServed
Indicates the main country that is primarily served or targeted by an entity’s activities, services, or operations.
-
C.
primaryLongHaulRegion
Indicates the main long-distance geographic region in which an entity primarily operates or is associated for long-haul activities.
-
D.
primaryRegionOfPopularity
Indicates the geographic region where something is most widely used, favored, or popular compared to other regions.
-
E.
primaryRegionDepicted
Indicates that a resource primarily depicts or visually represents a particular geographic or spatial region as its main subject.
- F. None of above. chosen
Provenance (1 batch)
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_69f76eb820248190a5c395ca50ad002a |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:16 p.m.