Semantic Triple
noun

In information science and semantic web technologies, a semantic triple is a data structure consisting of three components: a subject, a predicate, and an object. These components together form a single statement or fact, typically used to express relationships between entities in a machine-readable way (e.g., in RDF — Resource Description Framework).

Usage

The semantic triple “Albert Einstein – bornIn – Ulm” allows machines to understand and process that Albert Einstein was born in the city of Ulm.

How Semantic Triples are structured:
Subject = what you’re talking about
Predicate = relationship or action
Object = value or target of the relationship

Learning Resources:
“How (and why) to Create a List of Semantic Triples for Your Brand Voice Documentation” by Everett Sizemore