Triple
T11526988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burberry flagship store |
E273320
|
entity |
| Predicate | brandIdentityElement |
P48662
|
FINISHED |
| Object | British heritage |
—
|
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: British heritage | Statement: [Burberry flagship store, brandIdentityElement, British heritage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brandIdentityElement Context triple: [Burberry flagship store, brandIdentityElement, British heritage]
-
A.
hasBrandIdentityElement
chosen
Indicates that an entity includes or is associated with a specific component of its overall brand identity (such as a logo, color scheme, or tagline).
-
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.
visualIdentity
Indicates the relationship in which one entity defines, shapes, or represents the visual appearance and branding style of another entity.
-
D.
brandingStyle
Indicates the specific visual and stylistic approach used to represent a brand’s identity.
-
E.
brandImage
Indicates the perceived overall impression, reputation, and associations that people hold about a particular brand.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d87fd379648190b342e0c4b4f685b7 |
completed | April 10, 2026, 4:42 a.m. |
| PD | Predicate disambiguation | batch_69d80879fdb48190be6dacc8aa63c809 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:37 p.m.