Microdata
E662769
Microdata is an HTML-based specification for embedding machine-readable metadata within web pages to improve data interoperability and search engine understanding.
All labels observed (2)
| Label | Occurrences |
|---|---|
| HTML5 microdata | 1 |
| Microdata canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7420622 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Microdata Context triple: [RDFa, relatedStandard, Microdata]
-
A.
JSON-LD
JSON-LD is a JSON-based format for encoding Linked Data, enabling structured data to be easily shared and understood across the web.
-
B.
RDFa
RDFa is a W3C-recommended syntax for embedding structured, machine-readable metadata within HTML and other web documents using attributes.
-
C.
Semantic MediaWiki
Semantic MediaWiki is an extension to the MediaWiki platform that adds semantic annotation and querying capabilities, turning wiki content into a structured, queryable knowledge base.
-
D.
Meta Language
Meta Language is a formal specification language used to define and manipulate the syntax and semantics of programming languages and logical systems.
-
E.
MODS (Metadata Object Description Schema)
MODS (Metadata Object Description Schema) is an XML-based bibliographic description standard designed to provide a flexible, user-friendly alternative to MARC for describing and sharing library and cultural heritage resources.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Microdata Target entity description: Microdata is an HTML-based specification for embedding machine-readable metadata within web pages to improve data interoperability and search engine understanding.
-
A.
JSON-LD
JSON-LD is a JSON-based format for encoding Linked Data, enabling structured data to be easily shared and understood across the web.
-
B.
RDFa
RDFa is a W3C-recommended syntax for embedding structured, machine-readable metadata within HTML and other web documents using attributes.
-
C.
Semantic MediaWiki
Semantic MediaWiki is an extension to the MediaWiki platform that adds semantic annotation and querying capabilities, turning wiki content into a structured, queryable knowledge base.
-
D.
Meta Language
Meta Language is a formal specification language used to define and manipulate the syntax and semantics of programming languages and logical systems.
-
E.
MODS (Metadata Object Description Schema)
MODS (Metadata Object Description Schema) is an XML-based bibliographic description standard designed to provide a flexible, user-friendly alternative to MARC for describing and sharing library and cultural heritage resources.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
HTML specification
ⓘ
metadata embedding format ⓘ semantic web technology ⓘ web technology ⓘ |
| basedOn | HTML ⓘ |
| commonlyUsedWith | schema.org ⓘ |
| competesWith |
JSON-LD
ⓘ
RDFa ⓘ |
| conformsTo | HTML syntax rules ⓘ |
| domain |
semantic web
ⓘ
web development ⓘ |
| embeddedIn | HTML elements ⓘ |
| enables |
better content classification
ⓘ
rich search results ⓘ structured data markup ⓘ |
| goal |
align human-readable and machine-readable content
ⓘ
make metadata easier to write and maintain in HTML ⓘ |
| hasAttribute |
itemid
ⓘ
itemprop ⓘ itemref ⓘ itemscope ⓘ itemtype ⓘ |
| hasConcept |
item
ⓘ
property ⓘ type ⓘ |
| humanVisible | true ⓘ |
| introducedIn | HTML5 ⓘ |
| machineReadable | true ⓘ |
| parsingModel | HTML DOM-based parsing ⓘ |
| relatedTo |
JSON-LD
ⓘ
RDFa ⓘ microformats ⓘ |
| requires | vocabulary definitions such as schema.org ⓘ |
| scope | client-side metadata ⓘ |
| serializationFormat | inline HTML attributes ⓘ |
| standardizedBy |
W3C (historically)
ⓘ
WHATWG ⓘ |
| status | actively supported by some search engines ⓘ |
| supports |
global identifiers for items
ⓘ
nested items ⓘ typed items ⓘ |
| usedBy |
search engines
ⓘ
web developers ⓘ |
| usedFor |
annotating web page content with structured data
ⓘ
embedding machine-readable metadata in web pages ⓘ improving data interoperability ⓘ improving search engine understanding of web content ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Microdata Description of subject: Microdata is an HTML-based specification for embedding machine-readable metadata within web pages to improve data interoperability and search engine understanding.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Microdata