📚 Educational Purpose

This is an educational visualization showing how concepts in the Three Streams GEO Methodology connect to each other using Subject → Predicate → Object (SPO) triples — the same structure used by knowledge graphs, Wikidata, and AI systems.

🔗 Three Representations

Click any node to see the same entity described in three ways:

• Connections: SPO relationships in this methodology graph
• Schema.org V30.0: JSON-LD markup for your website — the code AI crawlers parse
• Wikidata: Q-item and P-property syntax for knowledge graph entity establishment

This demonstrates a core GEO principle: the same entity relationship can be expressed in multiple structured data formats, and each serves a different role in how AI systems build understanding.

🔍 NER & Entity-First Writing

Named Entity Recognition (NER) is how AI systems identify entities in your content. When you write about "Dr. Sarah Chen, dermatologist at Stanford Medical," NER extracts Person, Role, and Organization entities. The better your content defines entities and relationships, the better AI systems understand and cite you.

🕸️ SPO Labels

Toggle "S-P-O Labels" to see predicate labels on every edge. Each line in this graph is a triple: the source node is the Subject, the label is the Predicate, and the target node is the Object. This mirrors how Wikidata stores facts and how AI systems reason about entity relationships.