Triple
T30521330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonathan Rea |
E776699
|
entity |
| Predicate | primaryManufacturerRiddenFor |
—
|
GENERATED |
| Object | Kawasaki |
—
|
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: primaryManufacturerRiddenFor Context triple: [Jonathan Rea, primaryManufacturerRiddenFor, Kawasaki]
-
A.
manufacturerRiddenFor
chosen
Indicates that an entity (typically a rider) has ridden or been associated through riding with a particular manufacturer’s products.
-
B.
isRiddenBy
Indicates that an entity serves as a mount or vehicle that is being ridden by another entity.
-
C.
manufacturedBy
Indicates that an item or product is produced or created by a specific manufacturer or maker.
-
D.
riderEquipment
Indicates that a rider is using, wearing, or otherwise equipped with a particular piece of equipment.
-
E.
usedManufacturer
Indicates that an entity has employed or sourced products, components, or services from a particular manufacturer.
- 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_69f2249b23c4819087fa85496d92f43f |
completed | April 29, 2026, 3:32 p.m. |
Created at: April 29, 2026, 8:17 p.m.