Triple
T21525715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amtrak Superliner |
E531090
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | railcar fleet |
C14922
|
CONCEPT FINISHED |
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: railcar fleet Context triple: [Amtrak Superliner, instanceOf, railcar fleet]
-
A.
passenger railcar fleet
chosen
A passenger railcar fleet is a managed collection of rail vehicles designed and maintained to transport people safely and efficiently across a rail network.
-
B.
rolling stock
Rolling stock refers to all the vehicles that move on a railway, including locomotives, passenger coaches, freight wagons, and maintenance units.
-
C.
train fleet
A train fleet is a coordinated group of locomotives and railcars managed together to provide scheduled rail transportation services.
-
D.
rail vehicle
A rail vehicle is a wheeled conveyance designed to operate on railway tracks for transporting passengers, freight, or performing specialized rail-related tasks.
-
E.
wagon train
A wagon train is a group of wagons traveling together, typically across long distances, for mutual support, protection, and resource sharing.
- 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_69e0c45d95a081908e7962ad215da746 |
completed | April 16, 2026, 11:13 a.m. |
Created at: April 16, 2026, 6:26 p.m.