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"content": " response=json.dumps(valid_entities[:10], ensure_ascii=False),\n model_name=f\"ollama:{model}\",\n tokens_input=tok_in1,\n tokens_output=tok_out1,\n duration_ms=dur1,\n status=\"completed\",\n )\n\n # PASS 2: Categorize entities\n entities_json = json.dumps(valid_entities, ensure_ascii=False)\n prompt2 = pass2_template.replace(\"{entities}\", entities_json)\n resp2, tok_in2, tok_out2, dur2 = _call_ollama(prompt2, model)\n\n try:\n result2 = json.loads(resp2)\n categorized = result2.get(\"kategorisiert\", [])\n except json.JSONDecodeError:\n db.log(\"WARNING\", \"Failed to parse Pass 2 JSON\")\n # Fallback: return uncategorized entities\n return [{\"name\": e, \"type\": \"CONCEPT\", \"description\": None} for e in valid_entities]\n\n protokoll.log_llm_call(\n request=f\"[entity_extraction_pass2] categorize {len(valid_entities)} entities\",\n response=resp2[:1000],\n model_name=f\"ollama:{model}\",\n tokens_input=tok_in2,\n tokens_output=tok_out2,\n duration_ms=dur2,\n status=\"completed\",\n )",
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