Classification ontology = schema for operations and settlement; one-dimensional labels will cause matching and internal control to fail at the same time.
Multidimensional classification is not a document obsession, but an infrastructure for routing and risk control: without a unified type ontology, CRM will repeatedly reach the same LP, PoB cannot mark the dominant party and collaborators, and it is difficult for governance to cut the boundaries of national representation.
Functional dimension (what to do)
Typical composite portrait: A Tokyo-based AI venture capital can be simultaneously marked in the system as "capital node + Japan geographical anchor point + AI industry node + seat at a certain level". When matching, select subsets according to scenarios to avoid using a single label to describe business reality.
PoB and settlement require knowing "who signed and endorsed what role"; multidimensional classification is the lowest-cost solution to compile real business relationships into a system executable structure.
Operational failure modes when classification is missing
Align with TradFi: Customer data of large investment banks are also cut into cubes by industry group, region, and product authority; WCN only exposes the aspects to on-chain collaboration and PoB, so that the external ecosystem can also read the same set of structures.