FB15K: Loading FB15K-237 into Neo4j
A practical Cypher import—and what a graph of MIDs and 237 relation names reveals about knowledge graph benchmark data.
Notes
Notes on knowledge graphs, data modeling, GraphRAG, SQL/PGQ, GQL, and migration planning.

A practical Cypher import—and what a graph of MIDs and 237 relation names reveals about knowledge graph benchmark data.
What FB15K and FB15K-237 contain, why inverse relations matter, and what these widely used benchmarks actually measure.
How mixed CSV and Excel files, Japanese character encodings, source-specific patient IDs, and conflicting values turned COVID-19 data integration into an identity and provenance problem.
How Neo4j and Git history helped reveal suspicious relationships, report them to local governments, and trace later corrections.
Using Japanese citrus varieties to learn graph modeling with parent-child relationships, intermediate breeding lines, and path queries.
How graph modeling can help clarify dependencies, inconsistencies, validation points, and cutover risks in system and data migration.
Using a familiar food domain to learn graph modeling with shops, places, noren relationships, ingredients, and cooking steps.