2026 Structured Data Blueprint

The Ultimate Observation
Schema Generator

Instances of the class Observation are used to specify observations about an entity at a particular time. The principal properties of an Observation are observationAbout, measuredProperty, statType, [[value] and observationDate and measuredProperty. Some but not all Observations represent a QuantitativeValue. Quantitative observations can be about a StatisticalVariable, which is an abstract specification about which we can make observations that are grounded at a particular location and time. Observations can also encode a subset of simple RDF-like statements (its observationAbout, a StatisticalVariable, defining the measuredPoperty; its observationAbout property indicating the entity the statement is about, and value ) In the context of a quantitative knowledge graph, typical properties could include measuredProperty, observationAbout, observationDate, value, unitCode, unitText, measurementMethod.

Includes:additionalPropertyadditionalTypealternateNamedescriptiondisambiguatingDescriptionidentifierimagemainEntityOfPage+22 more
Instant JSON-LD Generation

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Configuration

Live Generator

Observation Schema

Fill in the fields below to generate your JSON-LD. Required fields are marked with *.

Required Fields

The name of the item. (Expects: Text)

Recommended

An image of the item. This can be a [[URL]] or a fully described [[ImageObject]]. (Expects: URL, ImageObject)

URL of the item. (Expects: URL)

Why use Observation?

Structured data like Observation markup helps search engines identify the most important details about your content instantly, improving your chances of earning rich results.

Output Panel

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