Triple
T27764220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allegra EMU (ABe 8/12) |
E701555
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | narrow-gauge multiple unit |
C53302
|
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: narrow-gauge multiple unit Context triple: [Allegra EMU (ABe 8/12), instanceOf, narrow-gauge multiple unit]
-
A.
bi-mode multiple unit train
A bi-mode multiple unit train is a self-propelled trainset capable of operating using both external electric power (from overhead lines or third rail) and onboard diesel or battery power, allowing seamless running across electrified and non-electrified routes.
-
B.
narrow-gauge railway line
A narrow-gauge railway line is a railroad whose track gauge is significantly smaller than the standard gauge, typically used in regions with difficult terrain, lower construction costs, or specialized transport needs.
-
C.
diesel-electric multiple unit family
A diesel-electric multiple unit family is a group of closely related self-propelled rail vehicles that use onboard diesel engines to generate electricity for traction motors, sharing common design, components, and performance characteristics.
-
D.
streamlined locomotive
A streamlined locomotive is a high-speed railway engine designed with smooth, aerodynamic contours to reduce air resistance and improve efficiency and performance.
-
E.
locomotive model
A locomotive model is a scaled representation of a railway engine, often detailed and functional, used for display, education, or operation in model railroading layouts.
- F. None of above. chosen
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_69ef6a52fa708190934a32308d2c92dc |
completed | April 27, 2026, 1:53 p.m. |
Created at: April 27, 2026, 4:29 p.m.