On-chain Structured Data

An extract from Provenance Whitepaper. For latest update, check Whitepaper [PDF].

Provenance AI utilizes Fact Protocol’s proposed provenance standard for schema markup, which ensures on-chain provenance trail storage and fact-check attestations, allowing for retrievability by both AI systems and humans.

Below is an example of markup with source and publisher details:

{
  "@context": "https://schema.org",
  "@type": "WebPage",
  "mainEntity": {
    "@type": "Article",
    "headline": "Difference: Objective Facts vs. Subjective Facts or Claims",
    "url": "https://fact.technology/learn/difference-objective-facts-vs-subjective-facts/",
    "datePublished": "2023-07-31",
    "image": "https://fact.technology/files/2023/07/difference-objective-facts-subjective-facts-claims-opinions-fact-protocol-learn.png",
    "author": {
      "@type": "Person",
      "name": "Fact Protocol Team"
    }
  },
  "publisher": {
    "@type": "Organization",
    "name": "Fact Protocol Learn",
    "sameAs": "https://fact.technology/learn/"
  },
  "factProvenance": {
    "@type": "FactProvenanceTag",
    "originalSource": "https://www.jibc.ca/sites/default/files/community_social_justice/pdf/cl/Objective_vs._Subjective.pdf"
  }
}