Triple
T11757813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Dalmatian |
E279569
|
entity |
| Predicate | associatedWithBranding |
P11989
|
FINISHED |
| Object | colorful Apple consumer image |
—
|
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: colorful Apple consumer image | Statement: [Blue Dalmatian, associatedWithBranding, colorful Apple consumer image]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithBranding Context triple: [Blue Dalmatian, associatedWithBranding, colorful Apple consumer image]
-
A.
associatedWithCityBranding
Indicates a relationship where something is connected to, involved in, or contributes to the branding or promotional identity of a city.
-
B.
associatedBrandCategory
Indicates that a brand is linked to or classified under a particular product or service category.
-
C.
hasBranding
chosen
Indicates that one entity carries, displays, or is associated with the brand identity of another entity.
-
D.
associatedWithBrandValues
Indicates that one entity is connected or aligned with the brand values, principles, or identity represented by another entity.
-
E.
sharesBrandingWith
Indicates that two entities use the same or closely related branding elements, such as name, logo, or visual 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a5220f148190ae60d1941a579ab6 |
completed | April 10, 2026, 7:22 a.m. |
| PD | Predicate disambiguation | batch_69d88a829fe481909cc5431de7d6058e |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:41 p.m.