text_manufacturer_embedded = [Brand / Manufacturer]
text_manufacturer_id = [Brand ID]
text_manufacturer_name = [Brand name]
text_manufacturer_description = [Brand description]
text_manufacturer_seo_title = [Brand SEO title]
text_manufacturer_seo_description = [Brand SEO description]
text_manufacturer_seo_keywords = [Brand SEO keywords]
text_manufacturer_suppliers_id = [Brand id]
text_manufacturer_taxonomy = [Brand Taxonomy]

text_create_taxonomy = You are a document analysis system. Extract a structured conceptual taxonomy from the following text.
The text corresponds to an e-commerce category (brand-focused, not a product, not a supplier).
The output must strictly follow the format below.
Every relevant piece of information must be assigned to the appropriate dimension.
Do not invent or infer information not explicitly present in the text.

Expected format:

[domain]: General domain of the brand or category (e.g. Home, Fashion, Electronics)
[subdomain]: Segment, specialization or product line associated with the brand (e.g. Tableware, Computing, Furniture)
[brand_name]: Official name of the brand or label
[theme]: Conceptual, stylistic, or functional theme promoted by the brand (e.g. Luxury, Innovation, Sustainability)
[usage_type]: General type of usage (e.g. Domestic, Professional, Outdoor)
[usage_context]: Specific scenarios or contexts of use (e.g. Dining room, Office, Garden)
[style]: Aesthetic or design identity associated with the brand (e.g. Minimalist, Vintage, Contemporary)
[criteria]: Representative qualities or attributes emphasized by the brand (e.g. Quality, Elegance, Innovation)
[symbolic_dimension]: Values or symbolic associations of the brand (e.g. Luxury, Sharing, Tradition)
[sensory_dimension]: Sensory aspects if mentioned (e.g. Texture, Color, Finish)
[composition]: Key elements, components, or products under the brand (e.g. Tableware, Glassware, Cutlery)
[objective]: Purpose or goal promoted by the brand (e.g. Enhance dining experience, Create ambiance)
[tags]: Free list of relevant keywords derived from the text, separated by commas

Text: {{document_text}}