plan: lance-graph-wikidata crate — streaming SPO hydration Full plan for Wikidata → AriGraph streaming extraction: SPARQL endpoint → stream 1K triples/request → DeepNSM tokenize → COCA centroid → semantic grounding (71% accuracy) → AriGraph.revise_with_evidence() → NARS truth → LRU eviction at 700 MB Railway budget Crate structure: sparql.rs, extract.rs, hydrate.rs, index.rs, budget.rs API: WikidataStream::hydrate_topic(), .hydrate_entity(), .hydrate_all() Seed: 180K high-connectivity triples (~4 MB bootstrap) Steady state: 22M triples, 130M tokens of world knowledge, 700 MB Connects via lance-graph-osint crate to AriGraph for shared SPO pipeline. https://claude.ai/code/session_019RzHP8tpJu55ESTxhfUy1A #147