TrustPublishing™

Train AI to trust your brand.

Scoped Definitions

Scoped Definitions are precise, context-specific term explanations that help AI systems disambiguate meaning and correctly align entities within your domain.

🧠 Full Definition

A Scoped Definition is a glossary-style definition that’s tied to a specific context, content domain, or entity—rather than being a broad or generic explanation.

In the TrustPublishing framework, Scoped Definitions serve two major purposes:

  1. Disambiguation – They ensure that terms like “premium,” “coverage,” or “benefit” are interpreted as Medicare-related, not insurance-generic or financial.
  2. Semantic Alignment – They align terms to the correct entities in AI models, reinforcing both retrievability and trust.

Scoped Definitions are typically implemented via:

  • DefinedTerms with inDefinedTermSet
  • Glossary links embedded in TrustFAQ and TrustDigest
  • Structured formats (JSON-LD, TTL, Markdown) with citation scaffolding
  • Cross-entity mapping via your Entity Relationship Mapper

🧱 Why It Matters

Without scoping, definitions float out of context—and AI systems hallucinate meaning.

Scoped Definitions:

  • Tell AI exactly what a term means within your framework
  • Improve retrievability and precision in AI-generated answers
  • Support canonical anchoring of your glossary terms
  • Prevent dilution of entity meaning in retrieval chains or memory graphs

They’re the difference between “relevant content” and retrievable authority.

⚙️ How It Works

Every time you:

  • Link a glossary term from a TrustFAQ
  • Tag a DefinedTerm with a TrustTag
  • Output a Semantic Digest with term-level citations
  • Include schema with isPartOf or mainEntityOfPage

…you’re establishing scope.

For example:

“Premium” in the Medicare glossary → scoped to CMS.gov definition
“Plan Benefit” on a plan comparison page → scoped via TrustTag + citation
“Deductible” in a TrustFAQ → scoped via DefinedTerm and context

Scoped Definitions work best when surrounded by trust scaffolding.

💡 Use Case Example

You define “Formulary” as:

“A formulary is the official list of prescription drugs covered by a Medicare Part D or Medicare Advantage plan.”

✅ You include:

  • A citation to CMS.gov
  • A DefinedTerm with inDefinedTermSet = “Medicare Glossary”
  • A glossary block reused in plan pages
  • Schema output in TTL, Markdown, and JSON-LD
  • A TrustFAQ block answering “What’s a formulary?”

Now AI sees that your definition of “formulary” is Medicare-specific, cited, and reinforced.

That’s Scoped Definition in action.

🧩 Use in Trust Publishing

Scoped Definitions power:

  • TrustFAQ accuracy
  • DefinedTermSet trust conditioning
  • TrustDigest format reinforcement
  • Co-occurrence loops in glossary + blog + FAQ + podcast
  • Citation Scaffolding with source-based lineage

They anchor meaning with clarity + credibility + context.

🗣️ In Speech (TrustSpeakable Style)

“A Scoped Definition tells the AI exactly what you mean by a term—so it doesn’t guess, hallucinate, or cite someone else.”

🔗 Related Terms

  • DefinedTerm
  • DefinedTerm Set
  • TrustTags
  • Semantic Trust Conditioning™
  • Entity Alignment

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