Structured Entity Data

Structured entity data is machine-readable markup that explicitly states an entity's attributes and its relationships — using schema.org types, stable identifiers, and links to authoritative references. Where ordinary prose describes an entity in language a system must interpret, structured entity data declares the same facts in a format the system reads directly and unambiguously. The value, as with structured data generally, is the removal of ambiguity — and for entities specifically, that removal is consequential. A generative system modeling an organization from prose alone must infer what kind of thing it is, what its attributes are, and how it connects to other entities. Inference is imperfect, and an imperfect model of an entity has effects that propagate through everything downstream: weaker recognition, less reliable retrieval, greater risk of confusion with a namesake. Structured entity data replaces that inference with explicit declaration. It states, in machine-readable form, that this entity is an organization, that these are its defined attributes, that it connects to these other entities, that it is the same entity as these authoritative profiles elsewhere. The system is provided with clean facts rather than required to interpret. In practice, implementing structured entity data means marking up the organization's key pages — particularly the entity home — with accurate, comprehensive schema: the correct entity types, accurate attributes, proper identifiers, and `sameAs` links connecting the entity to its authoritative records. It is part of the machine-readable layer of retrieval infrastructure, applied to the entity. It is also among the more controllable elements of entity optimization, because it is implemented on the organization's own properties — the organization determines directly how clearly it declares itself to systems, and structured entity data is the most direct means of making that declaration unambiguous.