Triple
T33649552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Four Little Engines |
E862055
|
entity |
| Predicate | featuresLocomotiveType |
—
|
GENERATED |
| Object | narrow-gauge steam locomotive |
—
|
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: featuresLocomotiveType Context triple: [Four Little Engines, featuresLocomotiveType, narrow-gauge steam locomotive]
-
A.
typicalLocomotiveClass
Indicates that one locomotive class is the standard or most commonly used class for a given context, operator, or service.
-
B.
primaryLocomotiveType
Indicates the main method or mechanism by which an entity typically moves or travels.
-
C.
laterLocomotiveType
Indicates that one locomotive type succeeds or comes after another in time, representing a later development or version in locomotive design.
-
D.
locomotiveTypeContext
chosen
Indicates the contextual relationship specifying the type or classification of a locomotive involved in a given situation or usage.
-
E.
locomotiveTypeHandled
Indicates the type of locomotive that is managed, operated, or otherwise dealt with in a given context or operation.
- 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_69f349840ba881908e3bfce536aeb92b |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:42 a.m.