Triple
T37116663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matunga Workshop |
E919134
|
entity |
| Predicate | typeOfRollingStockServiced |
P145772
|
FINISHED |
| Object | coaching stock |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: coaching stock | Statement: [Matunga Workshop, typeOfRollingStockServiced, coaching stock]
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 (3 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_69f76e9c57148190ba789dd059645bb9 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a034ca1a8d88190bd44f33814436e59 |
completed | May 12, 2026, 3:52 p.m. |
| PD | Predicate disambiguation | batch_6a034b591f2481908e05562841c9a3c2 |
completed | May 12, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:15 p.m.