SameAs is a foundational property in the Schema.org vocabulary that establishes an equivalence relationship between a subject entity and an external canonical URI. By asserting sameAs, a webmaster declares that their local entity description represents the exact same thing as an entry in an authoritative knowledge base like Wikidata, DBpedia, or a Google Knowledge Graph ID. This explicit link performs entity reconciliation, collapsing disparate web mentions into a single, unambiguous node for search engines.
Glossary
SameAs

What is SameAs?
The SameAs property is a Schema.org predicate used to explicitly assert that two distinct URIs refer to an identical real-world entity, enabling machine-driven entity reconciliation.
Implementing sameAs is a critical signal for algorithmic trust, as it disambiguates an organization or person from others with similar names. When a search engine encounters a sameAs link to a curated knowledge base, it consolidates the attributes and authority signals from both sources, strengthening the entity's Knowledge Graph grounding. This property is typically expressed in JSON-LD format and is distinct from a standard hyperlink; it is a formal semantic assertion of identity, not just a related reference.
Key Characteristics of the SameAs Property
The sameAs property is the definitive mechanism for explicit entity reconciliation, linking a local entity representation to its canonical URI on an external, authoritative knowledge base.
Explicit Identity Linking
The sameAs property creates an unambiguous, machine-readable assertion that two URIs refer to the identical real-world entity. Unlike fuzzy matching, this is a deterministic link.
- It connects a webpage's
Organizationnode to itshttps://www.wikidata.org/wiki/Q...entry. - Search engines use this to consolidate signals, merging facts from your site with their global knowledge graph.
- This is the strongest possible signal for entity disambiguation.
Canonical Reference Sources
The value of a sameAs link is directly proportional to the authority of the target URI. It must point to a non-ambiguous, widely recognized knowledge base.
- Primary targets: Wikidata, Wikipedia, DBpedia, and the Google Knowledge Graph ID.
- Secondary targets: Authoritative government registries, ISBN databases, or ISO standards URIs.
- Invalid use: Linking to a social media profile or a search results page; use
urlorsameAson the profile entity itself instead.
Multi-Directional Reconciliation
The sameAs property is symmetric and transitive, forming a web of trust across the semantic web.
- If
A sameAs B, thenB sameAs Ais implied. - You should list multiple external identifiers for the same entity to create a dense reconciliation graph.
- Example: A corporation can have
sameAslinks to its Wikidata ID, SEC CIK number, and LEI (Legal Entity Identifier).
JSON-LD Implementation Syntax
In JSON-LD, sameAs is implemented as an array of URI strings on the entity node. It must be a direct property of the typed entity.
json{ "@context": "https://schema.org", "@type": "Organization", "name": "Example Corp", "sameAs": [ "https://www.wikidata.org/wiki/Q12345", "https://en.wikipedia.org/wiki/Example_Corp" ] }
- URIs must be absolute and canonical.
- Never use relative paths or fragment identifiers.
Distinction from url Property
A critical point of confusion is the difference between sameAs and url. They serve distinct purposes.
url: Links to the entity's own official homepage or a page directly controlled by the entity.sameAs: Links to an external, independent authority's canonical page about the entity.- Using
sameAsto point to your own site creates a self-referencing logical loop and provides zero reconciliation value.
Impact on Knowledge Graph Vault
Correct sameAs usage is a prerequisite for occupying a confirmed entity slot in search engine knowledge vaults.
- It moves your entity from an unconfirmed cluster to a verified, canonical node.
- This directly influences Knowledge Panel generation and Entity Featured Snippets.
- In the era of Generative Engine Optimization (GEO), a confirmed entity is more likely to be cited as a source in AI-generated answers.
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Frequently Asked Questions
Clear, technical answers to the most common questions about the SameAs property and its role in explicit entity reconciliation for search engines.
The SameAs property is a Schema.org URI reference that explicitly links a local entity representation to its corresponding canonical entry on an external, authoritative knowledge base, such as Wikidata, Wikipedia, or a Google Knowledge Graph ID. It functions as a machine-readable assertion of identity equivalence, telling search engines, "This entity I am describing on my webpage is definitively the same real-world thing as that specific, unique identifier in a trusted external database." When a search engine crawler encounters a sameAs link pointing to a Wikidata URI like https://www.wikidata.org/wiki/Q95 (Google), it performs entity reconciliation, merging the signals from your page with the established, disambiguated facts in the external knowledge graph. This process consolidates authority, reduces ambiguity, and strengthens the entity's presence in the search engine's own Knowledge Graph.
Related Terms
Master the core vocabulary of entity reconciliation and structured data to build definitive, high-confidence knowledge graphs.
Entity Disambiguation
The computational task of determining which specific real-world entity a textual mention refers to when the name has multiple meanings. For example, distinguishing between 'Paris' the city and 'Paris' the mythological figure. This is a critical prerequisite for accurate knowledge graph grounding and relies heavily on contextual cues from surrounding text.
Knowledge Graph
A structured data model representing entities as nodes and their relationships as edges. Search engines use these to store deterministic facts about the world. An enterprise knowledge graph grounds AI outputs in authoritative data, moving beyond statistical prediction to a verifiable, queryable model of an organization's domain.
Canonicalization Strategies
The process of selecting the definitive URL or entity record when multiple variants exist. This consolidates authority signals to a single, canonical source. For entities, this means choosing one authoritative URI (like a Wikidata entry) to serve as the target for all sameAs links, preventing identity fragmentation.

About the author
Prasad Kumkar
CEO & MD, Inference Systems
Prasad Kumkar is the CEO & MD of Inference Systems and writes about AI systems architecture, LLM infrastructure, model serving, evaluation, and production deployment. Over 5+ years, he has worked across computer vision models, L5 autonomous vehicle systems, and LLM research, with a focus on taking complex AI ideas into real-world engineering systems.
His work and writing cover AI systems, large language models, AI agents, multimodal systems, autonomous systems, inference optimization, RAG, evaluation, and production AI engineering.
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