6 posts
A rule-based pipeline read the 32,316-character Shanhaijing into 2,141 entities and 7,113 relations, then logged 63 contradictions unfixed (project KG, 2026).
Machine-reading the Shanhaijing's 26 mountain chains found 63 contradictions: 28 confirmed, 17 suspected, and one 429% gap that was ours, not the book's.
The Shanhaijing build turns 32,316 characters into 2,141 entities and 7,113 relations — 88.3% auto-extracted by regex rules, zero by LLM (project data, 2026).
A 429% distance gap in the Shanhaijing looked like a dropped 萬. It was the parser: the source reads 12,350 li, the pipeline logged 2,350 (project KG, 2026).
Of 135 creature slots in the Shanhaijing text, 4 are never named, and the nine-tailed fox is one. My knowledge graph of 202 creatures logs why it is absent.
Static Next.js export, no API routes: hand-writing a 300-iteration Fruchterman-Reingold layout and a metro map in 9.7 KB gzipped (project data, 2026).