Triple
T35035886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xpress |
E1010909
|
entity |
| Predicate | typicalRider |
—
|
GENERATED |
| Object | suburban commuter |
—
|
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: typicalRider Context triple: [Xpress, typicalRider, suburban commuter]
-
A.
typicalRiderAgeRange
Indicates the usual or most common age range of people who ride or use something.
-
B.
typicalRiderOrientation
Indicates the usual or standard physical position or alignment a rider maintains relative to what they are riding.
-
C.
intendedRiderExperience
Indicates the type or quality of experience that is planned or designed for a rider in the context of a ride or transportation service.
-
D.
typicalRiderEmotion
Indicates the characteristic or commonly experienced emotion that a rider typically feels in the context of a particular riding situation or activity.
-
E.
riderType
chosen
Indicates the category or role of a rider in relation to a ride, transport service, or vehicle (e.g., passenger, driver, courier).
- 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.