Triple
T34219645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oral |
E877888
|
entity |
| Predicate | locatedNearGeographicalBoundary |
—
|
GENERATED |
| Object | Europe–Asia boundary |
—
|
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: locatedNearGeographicalBoundary Context triple: [Oral, locatedNearGeographicalBoundary, Europe–Asia boundary]
-
A.
nearInternationalBoundary
Indicates that one entity is located close to an international boundary separating two or more countries.
-
B.
locatedNearStateBorderWith
Indicates that one entity is situated geographically close to the border of a specified state.
-
C.
geographicBoundary
chosen
Indicates that one entity serves as a limiting border or edge that defines the geographic extent or separation of another entity.
-
D.
locatedNearRegion
Indicates that one entity is situated in close geographic proximity to a specified region.
-
E.
locatedNearAdministrativeEntity
Indicates that one entity is geographically situated close to, or in the immediate vicinity of, an administrative unit such as a city, district, or region.
- 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_69f349b0b4bc819088c1552424089ee9 |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 1:55 a.m.