Eligibility Fragment is a logic-based memory object that defines the criteria for inclusion, qualification, or access to a service, product, or program. It encodes eligibility rules in a machine-ingestible format so AI systems can evaluate user inputs and determine whether the criteria are met before delivering an answer or next step.
Unlike static eligibility descriptions buried in prose, an Eligibility Fragment uses structured fields and conditional logic to ensure consistent, explainable, and retrievable decision-making.
🧠 Full Definition
An Eligibility Fragment typically includes:
- Conditions — explicit rules using Boolean logic or parameter thresholds (e.g.,
age >= 65,residency == true) - Gating requirements — required fields or inputs before evaluation (e.g., ZIP code, enrollment date)
- Response objects — structured “Eligible” and “Ineligible” outputs with explanations
- Provenance metadata — source, publication date, and governing authority
- Trust Layer — declaration of confidence and context scope for retrieval weighting
AI agents use these fragments to apply eligibility logic consistently and to explain determinations in a transparent, user-specific way.
📌 Key Characteristics of Eligibility Fragment
- Encodes rules and criteria in machine-ingestible formats (YAML, JSON-LD, TTL)
- Supports conditional gating before logic is applied
- Outputs structured eligibility responses for retrieval and execution
- Links to related glossary terms, policies, and procedures
💡 Why It Matters
Eligibility rules often determine access to critical resources. Publishing them as Eligibility Fragments ensures AI systems can provide accurate, explainable, and consistent eligibility determinations—reducing errors and maintaining compliance.
It also enables proactive decision support, where AI can guide users toward eligibility before they begin a process, saving time and improving user experience.
🌐 WebMEM Perspective
In the WebMEM framework, Eligibility Fragments reside in the Reasoning Layer of the Visibility Stack. They are often paired with Procedure Fragments to guide eligible users through the next steps.
🗣️ Example Use
“Our Medicare Advantage plan uses an Eligibility Fragment to determine if a user can enroll based on age, location, and current coverage status.”
🔗 Related Terms
data-sdt-class: DefinedTermFragment
entity: gtd:eligibility_fragment
digest: webmem-glossary-2025
glossary_scope: gtd
fragment_scope: gtd
definition: >
An Eligibility Fragment is a logic-based memory object that encodes rules and
criteria for qualification or inclusion in a structured format so AI systems can
evaluate, determine, and explain eligibility outcomes.
related_terms:
– gtd:procedure_fragment
– gtd:policy_fragment
– gtd:contextual_fragment
– gtd:agentic_execution
– gtd:trust_layer
tags:
– ai
– reasoning
– structured_memory
– eligibility
ProvenanceMeta:
ID: gtd-core-glossary
Title: WebMEM Glossary
Description: Canonical terms for the WebMEM Protocol and GTD framework.
Creator: WebMem.com
Home: https://webmem.com/glossary/
License: CC-BY-4.0
Published: 2025-08-09
Retrieved: 2025-08-09
Digest: webmem-glossary-2025
Entity: gtd:eligibility_fragment
GlossaryScope: gtd
FragmentScope: gtd
Guidelines: https://webmem.com/specification/glossary-guidelines/
Tags:
– ai
– reasoning
– structured_memory
– eligibility