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Summary

Extends the existing hallucination prevention documentation to cover the new LinkML validator plugins as requested in #51.

Changes Made

New concepts section explaining two complementary validation approaches:

  1. Term Validation (ID + Label Checking) - Validates ontology terms and identifiers against authoritative sources
  2. Reference Validation (Quote + Citation Checking) - Validates text excerpts against source publications

Enhanced examples including:

  • Text excerpt validation with editorial conventions (brackets, ellipses)
  • Combined use cases showing both types of validation together

Implementation section with links to:

Approach

Following @cmungall's preference, the documentation here focuses on concepts and principles of hallucination prevention, with links at the end to implementation-specific documentation maintained by the LinkML projects.

Closes #51

🤖 Generated with Claude Code

Extends existing hallucination prevention documentation to cover:
- Distinction between term validation (ID + label) and reference validation (quote + citation)
- Core concepts and principles for both validation approaches
- When to use each type of validation
- Practical examples of text excerpt validation
- Implementation details for linkml-term-validator and linkml-reference-validator
- Integration guidance for using both tools together

Focuses on concepts with links to implementation-specific documentation
per feedback from @cmungall in #41.

Addresses #51

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
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claude bot commented Nov 17, 2025

Claude finished @dragon-ai-agent's task —— View job


PR Review: LinkML Validator Documentation

Tasks:

  • Read and analyze the modified documentation file
  • Review content quality and structure
  • Check alignment with project guidelines
  • Provide comprehensive feedback on documentation standards
  • Submit final review

Overall Assessment

This PR successfully extends the existing hallucination prevention documentation with comprehensive coverage of LinkML validator tools. The additions are well-structured, practical, and align closely with the repository's focus on actionable guidance for AI4Curators.

✅ Strengths

Content Quality

  • Excellent conceptual framework: The addition of distinct "Term Validation" vs "Reference Validation" concepts (lines 124-180) provides clear mental models for different validation approaches
  • Practical examples: New text excerpt validation examples (lines 83-109) with editorial conventions are immediately actionable
  • Comprehensive tool coverage: Detailed documentation of both LinkML validators with specific features and use cases

Structure & Organization

  • Logical progression: Builds naturally from existing content to introduce new concepts, then practical tools
  • Clear sectioning: Well-organized with appropriate heading hierarchy (##, ###, ####)
  • Good balance: Maintains the existing practical focus while adding necessary implementation details

Alignment with Project Guidelines

  • Practical focus: All additions emphasize immediate, actionable solutions over theory
  • Target audience: Content directly serves curators and knowledge base maintainers
  • Integration emphasis: Shows how AI enhances existing workflows rather than replacing them

🔍 Areas for Improvement

Minor Content Issues

  1. Command example formatting (lines 275-278):

    linkml-reference-validator validate text-file my-ontology.obo \
      --regex 'ex:supporting_text="([^"]*)\[(\S+:\S+)\]"' \
      --cache-dir ./cache

    The regex pattern could benefit from a brief explanation for users unfamiliar with regex syntax.

  2. API reference expansion (lines 165-171):
    Consider adding brief descriptions of what each API provides:

    • Current: "PMC (PubMed Central): For accessing full-text content to validate excerpts"
    • Could add: typical use cases or limitations

Documentation Standards

  1. Link validation needed: All external links should be tested:

    • https://linkml.io/linkml-term-validator/ (line 248)
    • https://linkml.io/linkml-reference-validator/ (line 261)
    • https://linkml.io/linkml-reference-validator/how-to/validate-obo-files/ (line 283)
  2. Code block language tags: Some code blocks lack language specification for proper syntax highlighting (lines 275-278, 289-292)

🚀 Technical Accuracy

  • Validation concepts: Technically sound dual verification approach
  • Tool descriptions: Accurate feature listings for both LinkML validators
  • Implementation guidance: Realistic performance and caching considerations
  • Integration patterns: Practical CI/CD pipeline suggestions

📋 Minor Fixes Needed

  1. Trailing whitespace: Line 79 has trailing whitespace (minor cleanup)
  2. Consistent formatting: Some inconsistency in bullet point spacing
  3. Missing newline: File should end with newline (line 294)

✨ Recommendations

  1. Add troubleshooting section: Common validation failure scenarios and solutions
  2. Include performance benchmarks: Rough validation speeds for different dataset sizes
  3. Expand error handling: More specific guidance on handling network failures or API rate limits

🎯 Security & Performance

  • No security concerns: Documentation-only changes with appropriate external tool references
  • Performance considerations well-addressed: Caching strategies and batch processing guidance included
  • No malicious content: Clean, educational documentation

Final Verdict

This is a high-quality addition that successfully extends the existing documentation as requested in issue #51. The content is well-written, technically accurate, and maintains the repository's standards for practical, actionable guidance.

Recommendation: APPROVE

The additions provide immediate value to the target audience with minimal issues that could be addressed in follow-up improvements.


@cmungall cmungall merged commit 25eaa33 into main Nov 18, 2025
4 checks passed
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Add docs on new linkml validator AI guardrails

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