Triple
T32263189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grave Digger |
E824214
|
entity |
| Predicate | numberOfActiveTrucks |
—
|
ONPD |
| Object | multiple touring trucks |
—
|
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: numberOfActiveTrucks Context triple: [Grave Digger, numberOfActiveTrucks, multiple touring trucks]
-
A.
numberOfVehicles
Indicates the total count of vehicles associated with a given entity or context.
-
B.
hasTruckTraffic
Indicates that there is truck-related vehicular movement or flow occurring on or through a specified location or route.
-
C.
vehiclesOperational
Indicates that the vehicles are currently functional and available for use or service.
-
D.
allCargoFleet
Indicates that the entire fleet or group in question consists exclusively of cargo-carrying units.
-
E.
numberInService
chosen
Indicates that a specified number of instances of an entity are currently active, operational, or in service.
- F. None of above.
Provenance (2 batches)
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_69f3490e73588190915f282edd105772 |
completed | April 30, 2026, 12:20 p.m. |
| PD | Predicate disambiguation | batch_6a01961bb748819096a941f1b5443908 |
in_progress | May 11, 2026, 8:40 a.m. |
Created at: May 1, 2026, 12:41 a.m.