Triple
T32758731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Yong Yap |
E837697
|
entity |
| Predicate | locatedNearAdministrativeEntity |
—
|
GENERATED |
| Object | state of Perak |
—
|
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: locatedNearAdministrativeEntity Context triple: [Mount Yong Yap, locatedNearAdministrativeEntity, state of Perak]
-
A.
locatedNearRegion
Indicates that one entity is situated in close geographic proximity to a specified region.
-
B.
locatedNearCountry
Indicates that one entity is geographically situated close to the borders or territory of a specified country.
-
C.
locatedNearPass
Indicates that one entity is situated close to a mountain pass or similar passageway.
-
D.
locatedNearDistrict
Indicates that one entity is situated in close geographic proximity to a particular district.
-
E.
locatedNearSquare
Indicates that one entity is situated in close physical proximity to a square (such as a public plaza or open urban area).
- F. None of above. chosen
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_69f34937f97c8190b7f84bea045df3ae |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:13 a.m.