2d09776856
- Removed compliance_status slot and replaced it with has_or_had_status. - Updated has_or_had_status to use ComplianceStatus for structured representation. - Adjusted examples to reflect new structure for compliance status. - Updated documentation to indicate migration and provide details on the ComplianceStatus class.
106 lines
3.5 KiB
YAML
106 lines
3.5 KiB
YAML
# ConfidenceThreshold - Class for structured threshold values
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# Created 2026-01-22 per slot_fixes.yaml revision for confidence_threshold (Rule 53)
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#
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id: https://nde.nl/ontology/hc/class/ConfidenceThreshold
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name: ConfidenceThreshold
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title: Confidence Threshold
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prefixes:
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linkml: https://w3id.org/linkml/
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hc: https://nde.nl/ontology/hc/
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schema: http://schema.org/
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imports:
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- linkml:types
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- ../slots/has_or_had_description
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- ./Description
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default_prefix: hc
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classes:
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ConfidenceThreshold:
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class_uri: hc:ConfidenceThreshold
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description: |
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A threshold value used in confidence-based processing or validation.
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**DEFINITION**:
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ConfidenceThreshold captures the minimum (or maximum) confidence level
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required for an action or classification to be accepted. Common in:
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- NLP entity extraction pipelines
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- ML classification workflows
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- Automated data validation
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- Quality assurance checks
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**THRESHOLD TYPES**:
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- **CONFIDENCE**: Minimum confidence score for acceptance (0.0-1.0)
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- **PROBABILITY**: Probability threshold for classification
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- **QUALITY**: Minimum quality score for data acceptance
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- **SIMILARITY**: Minimum similarity score for matching
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**EXAMPLE**:
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```yaml
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has_or_had_threshold:
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- threshold_value: 0.85
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threshold_type: CONFIDENCE
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threshold_description: "Entity must have ≥85% confidence to be extracted"
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- threshold_value: 0.70
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threshold_type: SIMILARITY
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threshold_description: "Name matches require ≥70% similarity"
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```
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**Migration (2026-01-22)**:
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Created as part of confidence_threshold → has_or_had_threshold migration
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per slot_fixes.yaml (Rule 53).
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slots:
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- has_or_had_description
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attributes:
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threshold_value:
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description: The numeric threshold value (typically 0.0-1.0 for confidence)
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range: float
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required: true
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threshold_type:
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description: Type of threshold (CONFIDENCE, PROBABILITY, QUALITY, SIMILARITY)
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range: string
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threshold_operator:
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description: Comparison operator (GTE, LTE, GT, LT, EQ)
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range: string
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threshold_description:
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description: Human-readable description of what this threshold controls
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range: string
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slot_usage:
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has_or_had_description:
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range: Description
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description: Detailed description of the threshold and its application
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annotations:
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custodian_types: '["*"]'
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custodian_types_rationale: "Threshold-based processing applies across heritage types."
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specificity_score: 0.6
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specificity_rationale: "Specialized class for methodology/processing contexts."
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examples:
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- value:
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threshold_value: 0.85
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threshold_type: CONFIDENCE
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threshold_operator: GTE
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threshold_description: "Entity extraction requires ≥85% confidence"
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description: NLP entity extraction threshold
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- value:
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threshold_value: 0.70
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threshold_type: SIMILARITY
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threshold_operator: GTE
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threshold_description: "Name matching requires ≥70% Levenshtein similarity"
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description: Fuzzy matching threshold
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- value:
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threshold_value: 0.95
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threshold_type: QUALITY
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threshold_operator: GTE
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threshold_description: "Data must pass 95% quality checks"
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description: Data quality threshold
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