Triple
T37116663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matunga Workshop |
E919134
|
entity |
| Predicate | typeOfRollingStockServiced |
—
|
GENERATED |
| Object | coaching stock |
—
|
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: typeOfRollingStockServiced Context triple: [Matunga Workshop, typeOfRollingStockServiced, coaching stock]
-
A.
servicesRollingStock
Indicates that an entity provides operational services to or performs work on rolling stock (such as trains or rail vehicles).
-
B.
operatedRollingStockClass
Indicates that an entity (such as a company or operator) has operated a specific class or type of rolling stock (e.g., trains or rail vehicles).
-
C.
passengerRollingStock
Indicates that the rolling stock is designed or used for carrying passengers rather than freight or other purposes.
-
D.
ownedRollingStock
Indicates that one entity possesses or has ownership rights over specific rolling stock (such as trains, railcars, or locomotives).
-
E.
vehicleClassServed
chosen
Indicates the class or type of vehicle that a service, facility, or operation is designed to accommodate or serve.
- 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_69f76e9c57148190ba789dd059645bb9 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:15 p.m.