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AwesomeSEO · Original methodology

An evidence model for entities, attributes and relations

A practical contract for semantic triples, source attribution, entity identity and page-template relationships.

2026-10-21 · Original methodology brief · no client outcomes reported

Connect this to brand context
Entity evidence model: subject, predicate, value and attributable source.
Original AwesomeSEO methodology illustration

Separate an entity from a claim

Give an entity a stable internal identifier. A claim records a subject identifier, predicate, object value or entity identifier, source, observation time and review state. The same entity may have several names and identifiers; a label match alone does not prove that two records describe the same entity.

Keep entity–attribute–value and triples compatible

A literal attribute such as a legal name is a subject–predicate–literal statement. A relationship such as an organization owning a product is a subject–predicate–entity statement. Keep units, language, market and validity dates as qualifiers rather than hiding them in free text. Preserve conflicting statements for review rather than overwriting the older source silently.

Connect claims to page purpose

A product template needs product identity, offers and visible specifications. A brand page needs identity and supporting profiles. A guide needs attributable claims and relevant sources. Use the shared page-type registry to find the applicable template and enrichment checklist; do not put every available field on every page.

Make confidence explainable

The context screen measures the completeness of explicitly named profile fields. It does not measure factual truth, ranking likelihood or Knowledge Panel eligibility. A Google Knowledge Graph result score is a relevance value returned for that query, not a calibrated probability. Keep source agreement and human review state separate from field completeness.

How to use this source

An original methodology brief based on the repository’s current contracts. It reports no client outcomes or original ranking experiment.

Inspect the catalogue relationships

These triples describe editorial catalogue metadata. They do not verify the source’s conclusions.

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AwesomeSEO
about
topic:semantic-triples
about
topic:entity-identity
about
topic:structured-data
about
topic:research
appliesTo
page-type:brand
appliesTo
page-type:glossary
appliesTo
page-type:product
appliesTo
page-type:category
describesSource
provider:google-knowledge-graph
describesSource
provider:wikidata
describesSource
provider:crossref
describesSource
provider:github
cites
resource:knowledge-graphs-survey
cites
resource:google-kg-api
cites
resource:wikidata-query
cites
resource:schema-org

Continue with related sources

Hogan et al. · ACM Computing SurveysJournals

Knowledge Graphs

A survey reference for graph models, knowledge construction and applications.

Peer-reviewed research
Reference · unreviewed claimsReading notes
Schema.orgDocumentation

Schema.org vocabulary

The vocabulary for describing entities, attributes and relationships in structured data.

Official reference
Reference · unreviewed claimsReading notes