Citation Sources and Provenance for Beneficial Owner KYC

Beneficial owner KYC data primarily comes from equity registration information of administrative industry and commerce departments, regulatory

What This Category of Data Looks Like

Beneficial owner KYC data primarily comes from equity registration information of administrative industry and commerce departments, regulatory verification materials submitted by financial institutions, and third-party equity penetration service documents. Updates are synced in real time with industrial and commercial changes. Regulatory materials are updated quarterly. Most documents use structured formats. Core fields include beneficial owner name, ID type and number, shareholding ratio, control relationship type, and affiliated enterprise name. Some documents include link information for equity hierarchy traceability.

Constraints on Citation Sources and Provenance

The multi-source nature of beneficial owner data requires associating unique identifiers across different data sources during provenance, to avoid duplicate citation of the same entity information submitted by different organizations. The high proportion of structured fields requires precise matching of field content during provenance, rather than relying on fuzzy matching of full text fragments, to ensure cited information fully corresponds to the verification target. Differences in update schedules require carrying data update timestamps during provenance, to ensure cited information is the latest valid version. Complex control relationship links require associating information for both beneficial owners and affiliated enterprises during provenance. Citing only a single entry fails to fully present the verification basis.

Configuration Recommendations

Configuration ItemRecommended ValueRationale
ragRecallTopKTop 3-5 entriesBeneficial owner data has precise structured fields. Excessive recall introduces irrelevant equity penetration entries, reducing provenance accuracy
similarityThreshold0.75-0.85Beneficial owner data has high structurality, with strict field matching requirements. A threshold that is too low introduces non-target entries
contextWindowSize800-1200 charactersThe core field length of individual beneficial owner verification documents is concentrated. An overly long window mixes redundant information from affiliated enterprises
sourceDisplayField["document_source", "update_time", "shareholding_ratio"]Provenance requires clear data source type, update time, and shareholding ratio to meet regulatory verification traceability requirements
enableSourceEnabledEnsure citation provenance information is returned during API calls or knowledge base question answering
apiSourceReturnFields["ultimate_beneficial_owner", "control_enterprise", "update_time"]Only return necessary provenance fields to reduce transmission overhead, while ensuring complete provenance information

The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Configuration Mistakes

  • Phenomenon: After configuring ragRecallTopK to 10000, the returned provenance entries include a large number of non-target affiliated enterprise information. Reason: Beneficial owner data has precise structured fields. An excessively high recall count introduces redundant entries unrelated to the core verification target, resulting in confusion during provenance.
  • Phenomenon: After calling the API to obtain corpus, the AI response does not display citation sources. Reason: The sourceDisplayField parameter is not configured to specify the provenance fields to display, or the enableSource switch is not enabled.
  • Phenomenon: Setting similarityThreshold to 0.4 fails to recall target beneficial owner entries. Reason: Beneficial owner data has strict field matching requirements. A threshold that is too low introduces a large number of irrelevant industrial and commercial registration entries, making it impossible to hit accurately matched verification data.

How to Verify Proper Configuration

  • Initiate a test call, check if the returned results include the fields specified by sourceDisplayField, to confirm that provenance information is displayed normally.
  • Adjust similarityThreshold to the calibrated range, verify that the recalled results only include entries related to the target beneficial owner.
  • Check the update_time field of the returned provenance entries, confirm that the cited information is the latest valid version.
  • Review the running logs, confirm that the actual number of returned entries for ragRecallTopK matches the expected configuration.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.