Triple
T8839203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PINK |
E210343
|
entity |
| Predicate | brandColorUsage |
P67963
|
FINISHED |
| Object | bright colors |
—
|
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: bright colors | Statement: [PINK, brandColorUsage, bright colors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brandColorUsage Context triple: [PINK, brandColorUsage, bright colors]
-
A.
usesBrandColor
chosen
Indicates that one entity applies or displays another entity’s official brand color in its appearance, design, or materials.
-
B.
bandColor
Indicates the color associated with a band, such as a stripe, ring, or marking on an object.
-
C.
corporateColor
Indicates the official color or color scheme that represents a corporation’s brand or identity.
-
D.
liveryColors
Indicates the specific set of colors used as the official or characteristic color scheme associated with an entity (such as a brand, organization, or vehicle).
-
E.
colorVarietyOf
Indicates that one entity represents a specific color variant or color option of another entity.
- 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_69ca8388549c819095fd94eadefbb007 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60849f8c8190b7735defecf55a5d |
completed | April 1, 2026, 12:02 a.m. |
| PD | Predicate disambiguation | batch_69cc5c25b874819084c9ba391703e066 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:48 p.m.