Triple
T34738392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frieder |
E1001417
|
entity |
| Predicate | hasNotableRegionAssociation |
—
|
GENERATED |
| Object | American sports |
—
|
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: hasNotableRegionAssociation Context triple: [Frieder, hasNotableRegionAssociation, American sports]
-
A.
hasNotableLocationAssociation
Indicates that there is a significant or noteworthy connection between an entity and a specific location.
-
B.
hasNotabilityRegion
chosen
Indicates that an entity’s notability, prominence, or recognition is specifically associated with a particular geographic region.
-
C.
hasNotableUsageRegion
Indicates that something is prominently or distinctively used within a particular geographic region.
-
D.
regionOfAssociation
Indicates a broader geographic or spatial area with which an entity is functionally, contextually, or organizationally associated.
-
E.
hasRegion
Indicates that an entity includes, contains, or is associated with a specific geographic or administrative region as part of its scope or structure.
- 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_69f76daf739881909ed3554f98a2b433 |
completed | May 3, 2026, 3:45 p.m. |
Created at: May 3, 2026, 3:59 p.m.