Triple
T7040425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | c2c |
E163495
|
entity |
| Predicate | brandingStyle |
P74696
|
FINISHED |
| Object | lowercase name "c2c" |
—
|
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: lowercase name "c2c" | Statement: [c2c, brandingStyle, lowercase name "c2c"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brandingStyle Context triple: [c2c, brandingStyle, lowercase name "c2c"]
-
A.
brandingNote
Indicates that an entity has an associated note or comment specifically about its branding, such as style, usage, or presentation guidelines.
-
B.
brandingFeature
Indicates that one entity serves as a branding-related characteristic, element, or attribute that helps define or distinguish another entity’s brand identity.
-
C.
brandingApproach
Indicates the strategic method or style an entity uses to present and differentiate its brand in the market.
-
D.
brandingRole
Indicates the specific function or responsibility an entity has in creating, managing, or representing a brand within a branding context.
-
E.
brandingScope
Indicates the extent or range within which a particular brand identity, strategy, or elements are applied or recognized.
- F. None of above. chosen
Provenance (4 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_69c6885e7c1c8190be32a8f79ab4e0cf |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e4a3c36c819080942c59f1830ae8 |
completed | March 27, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69c6e1bb602081908bfa6186a1f5a4b4 |
completed | March 27, 2026, 7:59 p.m. |
| PDg | Predicate description generation | batch_69c6e4a15b088190bee9a23e94aaac53 |
completed | March 27, 2026, 8:12 p.m. |
Created at: March 27, 2026, 2:36 p.m.