Triple
T36158937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 4-8-2 Mountain steam locomotives |
E1045817
|
entity |
| Predicate | hasConfigurationFeature |
—
|
GENERATED |
| Object | leading truck for stability at speed |
—
|
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: hasConfigurationFeature Context triple: [4-8-2 Mountain steam locomotives, hasConfigurationFeature, leading truck for stability at speed]
-
A.
hasConfiguration
Indicates that an entity is associated with or defined by a particular configuration or setup.
-
B.
hasFeature
chosen
Indicates that an entity possesses, exhibits, or includes a particular characteristic, attribute, or component.
-
C.
hasFeatureStatus
Indicates that an entity possesses a particular feature along with its current state or condition.
-
D.
hasFeatureCode
Indicates that an entity is associated with a specific feature identifier or code that characterizes one of its properties or attributes.
-
E.
hasConfigurationFormat
Indicates that an entity uses or is associated with a specific configuration format for its settings or parameters.
- 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_69f76e38903c8190a52887620f90aabe |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:08 p.m.