Triple
T32069218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cars franchise |
E818964
|
entity |
| Predicate | notableMerchandiseCategory |
P28339
|
FINISHED |
| Object | toys |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: toys | Statement: [Cars franchise, notableMerchandiseCategory, toys]
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 (3 batches)
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. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379eaa540819095a1c5d9f3513f9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:23 a.m.