Build a Watchlist Source Provenance and Historical Version Diff Engine

Audit entity changes across sequential versions of sanctions watchlists using FollowTheMoney diffing structures. Map source citation modifications to identify stealth delistings and identifier updates.

Sanctions Quality Assurance Analyst

Ingest consecutive snapshot packages of FollowTheMoney entity records from simulated watchlist feeds.

Compute property-level diffs detecting modified legal names, added aliases, and altered registration numbers.

Extract upstream source citations and publishing agency markers to document entity modification provenance.

Compile a delta audit register highlighting material changes that require investigator portfolio re-screening.

Interactive version-diff viewer with visual property highlight chips and exportable provenance change tables.

Use mock yente snapshot dumps containing simulated versioned FollowTheMoney JSON entities. Starter examples below are synthetic. They are not downloaded records.

OpenSanctions data toolkit Leverage FollowTheMoney entity schemas, properties, and change tracking conventions from the yente framework.

dspy, pydantic, fastapi. DSPy compiles precise extraction assertions to classify property mutation categories systematically. Local or hosted LLM supported by DSPy with structured output capabilities.

Submit runnable source, pinned dependencies, setup commands, a working interface, example outputs, and a recorded end-to-end demo. Include tests and an action log.

Detects 100% of property diffs across name, jurisdiction, and identifier fields between revisions.

Correctly categorizes modifications into addition, modification, or removal events.

Attaches source timestamp and dataset origin ID to every identified change record.

Emits an alert flag whenever an entity identifier changes without an explicit legal rationale.

```json [ { "input": { "entity_id": "ftm-ent-501", "v1": { "schema": "Company", "properties": { "name": [ "Zenith Holdings Ltd" ], "jurisdiction": [ "gb" ], "registrationNumber": [ "01234567" ] } }, "v2": { "schema": "Company", "properties": { "name": [ "Zenith Global Holdings Ltd" ], "jurisdiction": [ "gb" ], "registrationNumber": [ "01234567" ], "alias": [ "ZGH Limited" ] } }, "snapshot_metadata": { "v1_date": "2024-01-01", "v2_date": "2024-02-01", "source_id": "uk-ofsi-mock" } }, "expected_output": { "entity_id": "ftm-ent-501", "source_id": "uk-ofsi-mock", "changes_detected": [ { "field": "name", "change_type": "modified", "old_value": [ "Zenith Holdings Ltd" ], "new_value": [ "Zenith Global Holdings Ltd" ] }, { "field": "alias", "change_type": "added", "old_value": [], "new_value": [ "ZGH Limited" ] } ], "rescreening_required": true, "provenance_summary": "Entity name modified and alias added in uk-ofsi-mock snapshot between 2024-01-01 and 2024-02-01." } }, { "input": { "entity_id": "ftm-ent-502", "v1": { "schema": "Company", "properties": { "name": [ "Static Trade Co" ], "jurisdiction": [ "de" ] } }, "v2": { "schema": "Company", "properties": { "name": [ "Static Trade Co" ], "jurisdiction": [ "de" ] } }, "snapshot_metadata": { "v1_date": "2024-01-01", "v2_date": "2024-02-01", "source_id": "eu-fsf-mock" } }, "expected_output": { "entity_id": "ftm-ent-502", "source_id": "eu-fsf-mock", "changes_detected": [], "rescreening_required": false, "provenance_summary": "No changes detected across snapshots." } } ] ```

Processes synthetic reference datasets; carries no legal or regulatory consequence and freezes no funds. Use mock external writes. Require human review before any real deployment.