Triple
T38490428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montgomery City Lines |
E918038
|
entity |
| Predicate | notableBusNumber |
—
|
GENERATED |
| Object | Bus 2857 |
—
|
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: notableBusNumber Context triple: [Montgomery City Lines, notableBusNumber, Bus 2857]
-
A.
notableVehicleNumber
chosen
Indicates that a specific vehicle is identified as notable or significant by a particular number or identifier.
-
B.
notableTrain
Indicates that there is a train or rail service associated with the subject that is considered notable or significant in some way.
-
C.
busSystemName
Indicates that a bus system is identified or referred to by a specific name.
-
D.
hasNightBusService
Indicates that a transportation route or stop is served by buses operating during nighttime hours.
-
E.
hasBusServices
Indicates that one location or entity is served by bus routes or bus transportation provided by another.
- 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_69f76e9894208190a129a553a60ca58c |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:31 p.m.