Evol-1 T05: extraction cascade v0 (rules + local LLM) - #84
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Ship company-site indicator tables for the 28+frame pilot cohort without scraping marketplace listings. Co-authored-by: Cursor <cursoragent@cursor.com>
Fill agree/conflict tables against the pinned lab model and raise fetch coverage on the pilot frame cohort. Co-authored-by: Cursor <cursoragent@cursor.com>
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Summary
crawlers/extraction_cascade/+ runner: fetch website DN → tier1 rules → optional pinned Ollama tier2 → agree/conflict/abstain tables.data/processed/extraction_cascade/(summary, indicators, conflicts, PROVENANCE).--llm: ~89/128 fetch_ok; tier compare includes real conflicts (e.g. COD/social) for advisor slides — not national estimates.Scratch / docs
docs/evol-1.mdT05; design:docs/proposal-v4.md§4.5 cascade.Test plan
PYTHONPATH=. pytest tests/extraction_cascade/ -q(14 passed)PYTHONPATH=. pytest -q(full suite / CI)cd frontend && npm run build(if UI changed) — N/AChecklist
cursor/evol1-task05-extraction-cascade-v0.env, secrets, large raw dumps, or unrelated model binariesCONTEXT.md(+ ADR) — N/AMade with Cursor