parse-organogram

To extract structured hierarchy data from a Dutch government organogram PDF, you need a tool that applies vision-based parsing to identify parent-child organizational unit relationships and personnel assignments. This process enforces strict ministerial hierarchy rules and outputs standardized JSON proposals with confidence scores and evidence citations.

Yes, you can parse inline HTML text from an ABD manifest to extract organizational unit hierarchies. The extraction process supports dual input formats, allowing you to process both text-based inline HTML content and vision-based PDF or PNG images to generate structured personnel assignment data.

Yes, the organogram parsing process automatically filters out red AVG support roles such as policy staff, communicators, and jurists. It also caps confidence scores for personnel extractions to account for error-prone initialen parsing when generating the final structured data.

The best way to convert a published ministry organogram into review-ready JSON proposals is to use an automated extraction tool that standardizes both vision-based and text-based inputs. This enforces Dutch ministerial hierarchy rules and assigns confidence scores for downstream entity resolution.

Yes, confidence scores are assigned to personnel assignments extracted from public administration organograms. The extraction mechanism specifically caps confidence scores for personnel data to account for error-prone initialen parsing and provides evidence citations for every entry.