Triple
T33279547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Austrian Silesian railway network |
E852002
|
entity |
| Predicate | primaryNode |
—
|
GENERATED |
| Object | Troppau |
—
|
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: primaryNode Context triple: [Austrian Silesian railway network, primaryNode, Troppau]
-
A.
primaryFor
Indicates that one entity serves as the main or principal option, resource, or association for another entity among possible alternatives.
-
B.
primaryComponent
chosen
Indicates that one entity serves as the main or most important component within another entity or system.
-
C.
primaryElement
Indicates that one element is the main or most important component within a set, structure, or context relative to other associated elements.
-
D.
primaryMount
Indicates that one entity serves as the main or default mount (attachment or support point) for another entity.
-
E.
primarySingle
Indicates that an entity has exactly one main or primary association of the specified type, with no additional concurrent primary associations.
- 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_69f349653da08190819876015a298fdb |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:32 a.m.