Extends Method C: for each unknown narrative token that pattern text names, suggest
the keyword_dictionary tag = the RequiredComponentTags shared by the naming
patterns (ranked by frequency, kept only when shared by >=40% of them, top 3).
Surfaces real dictionary gaps like "zwischenkreis" -> stored_energy and
"updates" -> has_software, which close coverage without hand-editing the dict.
Two precision fixes to Method C while here:
- patternsMentioning now matches WHOLE WORDS, not substrings — substring matching
flagged fragments like "stehen" inside "entstehen" and produced nonsensical
tag suggestions.
- a token is only proposed with a tag if one is shared by >=40% of its naming
patterns, so diffuse common verbs (spread across categories) drop out.
Wired into iace-audit propose -> audit-reports/vocab.{md,json}. Residual
common-verb noise is left to the human/LLM filter rather than a hand-grown
stopword list. Type 4 (coverage blind spots) + P3 (pin accepted proposals into a
GT case) remain for slice 6.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Benjamin Admin