Triple
T16266494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aprilia |
E394887
|
entity |
| Predicate | colorAssociatedWithBrand |
P65875
|
FINISHED |
| Object | red |
—
|
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: red | Statement: [Aprilia, colorAssociatedWithBrand, red]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorAssociatedWithBrand Context triple: [Aprilia, colorAssociatedWithBrand, red]
-
A.
usesBrandColor
Indicates that one entity applies or displays another entity’s official brand color in its appearance, design, or materials.
-
B.
associatedColour
chosen
Indicates that one entity is linked to another as its characteristic or representative colour.
-
C.
serviceBrandColor
Indicates the association between a service and the color used to represent its brand identity.
-
D.
corporateColor
Indicates the official color or color scheme that represents a corporation’s brand or identity.
-
E.
colorAssociatedInstitution
Indicates that a particular color is characteristically linked or symbolically connected to an institution.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245c839788190b974d1d0d2525b88 |
completed | April 17, 2026, 2:38 p.m. |
| PD | Predicate disambiguation | batch_69e219f259e88190bf49d8408c04178e |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:05 a.m.