Triple
T1049935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three stripes |
E22670
|
entity |
| Predicate | brandSloganAssociation |
P14764
|
FINISHED |
| Object | Adidas brand messaging |
—
|
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: Adidas brand messaging | Statement: [Three stripes, brandSloganAssociation, Adidas brand messaging]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brandSloganAssociation Context triple: [Three stripes, brandSloganAssociation, Adidas brand messaging]
-
A.
sloganUsedIn
Indicates that a particular slogan is employed or featured within a specific context, such as a campaign, advertisement, or organization.
-
B.
sloganGivenBy
Indicates that a particular slogan is provided, coined, or assigned by a specific entity.
-
C.
relatedBrand
Indicates a relationship where one brand is associated with, connected to, or otherwise related to another brand.
-
D.
brand
Indicates that one entity is the commercial brand or label under which another entity (such as a product, service, or organization) is marketed or identified.
-
E.
brandingFeature
chosen
Indicates that one entity serves as a branding-related characteristic, element, or attribute that helps define or distinguish another entity’s brand identity.
- 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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8b2c6208190b6fdf3e93b1b1d04 |
completed | March 1, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69a4b7309cc481908ed839b0b8d75dbf |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.