Triple
T33649535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Four Little Engines |
E862055
|
entity |
| Predicate | featuresRailway |
—
|
GENERATED |
| Object | Skarloey Railway |
—
|
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: featuresRailway Context triple: [Four Little Engines, featuresRailway, Skarloey Railway]
-
A.
railwayStationFeature
Indicates that a railway station possesses or is characterized by a particular feature, facility, or attribute.
-
B.
railroadEngineeringFeature
Indicates a feature, element, or characteristic specifically related to the design, construction, or operation of railroad engineering systems.
-
C.
railwayFocus
Indicates that something is a primary subject, theme, or point of attention specifically in the context of railways or railway-related matters.
-
D.
transportInfrastructureFeature
chosen
Indicates a relationship where an entity is a specific element or component of transport infrastructure, such as roads, railways, or related facilities.
-
E.
railroadMet
Indicates that two or more railroads encountered or connected with each other at a specific place or time.
- 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.