Triple
T33022677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Praetor 600 |
E844955
|
entity |
| Predicate | typicalPassengerConfiguration |
—
|
GENERATED |
| Object | 8 to 10 passengers |
—
|
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: typicalPassengerConfiguration Context triple: [Praetor 600, typicalPassengerConfiguration, 8 to 10 passengers]
-
A.
passengerConfiguration
chosen
Indicates how passengers are arranged, seated, or distributed within a vehicle or transport setting.
-
B.
passengersType
Indicates the type or category of passengers associated with or involved in a given entity or context.
-
C.
appliesToPassengerType
Indicates that a rule, condition, or attribute is relevant or restricted to a specific type or category of passenger.
-
D.
passengerSystem
Indicates a relationship where an entity functions as or belongs to a passenger-related system (such as a transport or service system designed for passengers).
-
E.
publicPassengerService
Indicates that an entity provides transportation services that are available to the general public for carrying passengers.
- 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_69f34950749c8190ae05cd27adb16d58 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:23 a.m.