Triple
T33673685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skogrand |
E862695
|
entity |
| Predicate | hasPrimarySubdivisionName |
—
|
GENERATED |
| Object | Nes |
—
|
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: hasPrimarySubdivisionName Context triple: [Skogrand, hasPrimarySubdivisionName, Nes]
-
A.
hasPrimaryCountrySubdivision
Indicates that an entity is associated with a main or principal first-level administrative division (such as a state, province, or region) within a specific country.
-
B.
primarySubdivisionOf
Indicates that one administrative or territorial unit is the main first-level subdivision within a larger political or geographic entity.
-
C.
hasSubdivisionName3
Indicates that an entity has a third-level subdivision whose name is given by the associated value.
-
D.
hasSubdivisionNameLevel1
chosen
Indicates that an entity has a first-level subdivision (e.g., state, province, region) identified by a specific name.
-
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_69f34985885c8190914322f492e04703 |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:43 a.m.