Properties section
Delpha’s Duplicate Detection Properties section lets you configure AI thresholds, filtering rules, screening fields, and auto-merge logic for accurate deduplication.
Duplicate Detection – Properties Section in Delpha
The Properties section of the Duplicate Detection setup allows you to fine-tune how Delpha identifies and processes duplicate records. Each setting plays a critical role in the logic and accuracy of detection.

Key Configuration Fields
AI Threshold Minimum confidence score for a pair to be flagged as a potential duplicate.
Auto Merge Threshold Score from which records will be automatically merged without user review.
Expression The initial condition to detect potential duplicates. Think of it as a formula requiring exact matches between specific fields (e.g., Name + Website).
Active Toggle Quickly enable or disable duplicate detection for the object.
Filtering Rule Post-detection logic that allows you to add comments or discard certain pairs based on specific field-level differences. Example: Discard if cities differ.
Screening Fields These are the primary fields (e.g., Name) used to determine if a pair is even worth comparing. If values differ too much, Delpha skips the pair.
Discard Values If any key field contains a listed value (e.g., "test", "dummy"), Delpha will ignore it during duplicate scoring. Syntax: comma-separated list with no spaces or quotes — e.g.,
text1,text2,text3
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