Triple
T32929614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rapid KL LRT |
E842364
|
entity |
| Predicate | notableHubStation |
—
|
GENERATED |
| Object | Masjid Jamek station |
—
|
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: notableHubStation Context triple: [Rapid KL LRT, notableHubStation, Masjid Jamek station]
-
A.
notableHub
Indicates that an entity serves as a significant central point or focal location for activities, connections, or influence within a particular context.
-
B.
notableHubExample
Indicates that an entity serves as a prominent or illustrative central point (hub) within a network, system, or context.
-
C.
hasNotableStation
chosen
Indicates that an entity possesses or is associated with a station that is considered notable or significant in some context.
-
D.
notableChannel
Indicates that a channel is recognized as particularly significant, prominent, or noteworthy in some context.
-
E.
notableStand
Indicates that an entity is particularly well-known or distinguished for a specific stance, position, or viewpoint.
- 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_69f34948adfc8190a937f1f622783c0b |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:20 a.m.