Triple
T38395960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kapalong |
E900761
|
entity |
| Predicate | hasRegionalSubdivisionName |
—
|
GENERATED |
| Object | Davao Region |
—
|
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: hasRegionalSubdivisionName Context triple: [Kapalong, hasRegionalSubdivisionName, Davao Region]
-
A.
hasRegionalName
Indicates that an entity is known by a specific name or designation within a particular region or locality.
-
B.
hasSubdivisionName3
chosen
Indicates that an entity has a third-level subdivision whose name is given by the associated value.
-
C.
hasStateSubdivisionName
Indicates that an entity has a specific name for one of its internal state-level subdivisions.
-
D.
isRegionalSubdivisionOf
Indicates that one region functions as an administrative or geographic subdivision within a larger region.
-
E.
hasSubdivisionLabel
Indicates that an entity assigns a specific label or name to one of its subdivisions or component parts.
- 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_69f76e6071a081909eea7a670d21420c |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:31 p.m.