Triple
T35040046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Setia Jaya KTM station via BRT |
E1011043
|
entity |
| Predicate | supportsTripPurpose |
—
|
GENERATED |
| Object | shopping trips to Sunway Pyramid |
—
|
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: supportsTripPurpose Context triple: [Setia Jaya KTM station via BRT, supportsTripPurpose, shopping trips to Sunway Pyramid]
-
A.
journeyPurpose
Indicates the reason or intended goal motivating an entity’s journey or trip.
-
B.
bookingPurpose
Indicates the reason or intended use for which a booking or reservation is made.
-
C.
meetsForPurpose
Indicates that one entity meets with another specifically to pursue or accomplish a particular purpose or objective.
-
D.
typicalJourneyPurpose
chosen
Indicates the usual or most common reason or objective for which an entity undertakes a journey.
-
E.
transportPurpose
Indicates that one entity is transported or moved specifically for the purpose, goal, or intended use denoted by another entity.
- 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_69f76dcea02c81908542a223f6d5059f |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:01 p.m.