Triple
T32069218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cars franchise |
E818964
|
entity |
| Predicate | notableMerchandiseCategory |
—
|
GENERATED |
| Object | toys |
—
|
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: notableMerchandiseCategory Context triple: [Cars franchise, notableMerchandiseCategory, toys]
-
A.
merchandiseSource
Indicates that one entity is the origin, supplier, or provider from which another entity’s merchandise is obtained.
-
B.
notableProductType
chosen
Indicates that an entity is particularly well-known or distinguished for producing or offering a specific type of product.
-
C.
merchandiseRole
Indicates the specific functional role or purpose that a piece of merchandise serves within a commercial or retail context.
-
D.
notableBrandElement
Indicates that one entity is a significant or distinguishing brand-related feature, component, or asset of another entity.
-
E.
notableYouthProduct
Indicates that the subject is a product that is particularly significant, popular, or influential among young people.
- 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_69f348fecc088190af1470afe5a969f0 |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:23 a.m.