Triple
T37721656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parnassus on Wheels |
E939599
|
entity |
| Predicate | containsVehicle |
—
|
GENERATED |
| Object | horse-drawn wagon |
—
|
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: containsVehicle Context triple: [Parnassus on Wheels, containsVehicle, horse-drawn wagon]
-
A.
hasVehicle
chosen
Indicates that one entity possesses, owns, or is assigned a vehicle.
-
B.
vehicleCarrying
Indicates that one vehicle is transporting, holding, or supporting another entity as its load or cargo.
-
C.
intendedVehicle
Indicates that one entity is the vehicle that another entity plans or is meant to use.
-
D.
supportsVehicle
Indicates that one entity provides the necessary strength, stability, or structure to bear the weight of a vehicle.
-
E.
hostVehicle
Indicates that one entity serves as the primary or reference vehicle in relation to another entity or context.
- 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_69f76edc208c8190bc8b9683f75e1024 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:18 p.m.