Triple
T35741236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GMTK2UG |
E1033038
|
entity |
| Predicate | numberOfRoadWheels |
—
|
GENERATED |
| Object | 4 |
—
|
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: numberOfRoadWheels Context triple: [GMTK2UG, numberOfRoadWheels, 4]
-
A.
numberOfRoadWheelsPerSide
Indicates the count of road wheels present on each side of a vehicle or similar wheeled system.
-
B.
numberOfWheels
Indicates the quantity of wheels that an entity possesses or is associated with.
-
C.
vehicleWheels
Indicates that a vehicle has a specified number or type of wheels.
-
D.
wheelCount
chosen
Indicates the number of wheels associated with a given entity.
-
E.
numberOfAxlesDriven
Indicates the count of axles on a vehicle that are actively powered or driven by the propulsion system.
- 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_69f76e119d508190a3873cb302063832 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:06 p.m.