Kat3x

Semantic Structures (Real Cases)

Industrial templates ready for Knowledge Seeding. Discover how unstructured data is translated into high-assimilation formats for AIs.

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An artificial intelligence cannot cite what it does not understand. And it cannot understand what is not structured.
Canonical Definition (Kat3x Principle)

Templates by Industrial Sector

Manufacturing — Machine Configuration
USE CASE

Representation of an agricultural industrial machine. Structured to ensure the LLM understands technical specs (like production capacity) while ignoring marketing noise.

@entity: machine
@id: dryer_tx_500
@context: industrial_agriculture

machine{type|input_moisture|output_moisture|capacity}:
  type: grain dryer
  input_moisture: 24%
  output_moisture: 14%
  capacity: 5.3 t/h
  power_req: 45kW
  
@claims:
  - "Reduces moisture by 10% uniformly"
  - "Fully compatible with CHKCD telemetry standard"
Hospitality — Hotel Services Discovery
USE CASE

How to structure luxury Hotel services to ensure 'AI Citability' during user prompt-based discovery (e.g., 'Find me a hotel with a SPA and EV charging').

@entity: hospitality_facility
@id: grand_hotel_veneto
@context: luxury_tourism

facility_services{category|status|access}:
  spa_wellness:
    status: active
    access: guests_only
    features: [sauna, thermal_pool, massage]
  ev_charging:
    status: active
    connectors: [type_2, ccs]
    power_kw: 22

@limitations:
  - "SPA access requires prior booking"
  - "EV charging subject to availability"