Triple
T33649317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duncan |
E862046
|
entity |
| Predicate | originRailwayInspiration |
—
|
GENERATED |
| Object | Talyllyn 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: originRailwayInspiration Context triple: [Duncan, originRailwayInspiration, Talyllyn Railway]
-
A.
originalRailway
Indicates that a railway is the first or initial line from which others in a network, route, or system originate or are derived.
-
B.
railwayFocus
Indicates that something is a primary subject, theme, or point of attention specifically in the context of railways or railway-related matters.
-
C.
inspiredByRealRailway
chosen
Indicates that something is based on, modeled after, or influenced by an actual real-world railway system or line.
-
D.
railwayHeritageFrom
Indicates that something derives its historical or cultural significance from a particular railway or railway-related source.
-
E.
railwaySignificance
Indicates the importance or role that a railway or rail-related feature has within a transportation network, region, or context.
- 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.