Triple
T36590466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Singapore Airlines Cargo |
E902654
|
entity |
| Predicate | hasMainHubFunction |
—
|
GENERATED |
| Object | transshipment hub at Singapore Changi Airport |
—
|
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: hasMainHubFunction Context triple: [Singapore Airlines Cargo, hasMainHubFunction, transshipment hub at Singapore Changi Airport]
-
A.
hasHubFunction
Indicates that an entity serves as a central hub or coordinating point for certain activities, connections, or functions within a system.
-
B.
hasPrimaryHub
Indicates that an entity is associated with or operates from a main or central hub location among potentially multiple hubs.
-
C.
hasPrimaryFunction
Indicates that one entity serves as the main or principal function or role of another entity.
-
D.
hasMainHost
Indicates that one entity serves as the primary or principal host for another entity.
-
E.
primaryHubFunction
chosen
Indicates that an entity serves as the main central node or core facility through which key activities, connections, or operations are coordinated or routed.
- F. None of above.
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_69f76e6592e88190bac4eb00a46e9df9 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:11 p.m.