assessed entity

• CURIE: gmeow:assessedEntity
• IRI: https://blackcatinformatics.ca/gmeow/assessedEntity
• Category: property
• Defined by: gmeow:slices/quality
• Box roles: RBox role (What is this?)

The entity whose data quality is being assessed — the feature of interest of the quality observation. Sub-property of gmeow:observedFeature so generic consumers can query 'all observations about Alice' without knowing whether the claim is a name, a coordinate, or a quality assessment.

Structure

Property shape: object property; gmeow:QualityAssessment -> gmeow:Entity Sub-property of: gmeow:observedFeature

Practical Pattern

Use gmeow:assessedEntity from gmeow:QualityAssessment to gmeow:Entity when the relationship itself belongs in the native GMEOW graph.

Example Snippets

These snippets are generated from canonical slice examples and trimmed to the Turtle blocks where this term appears.

Dataset Completeness

• Source: slices/core/quality/examples/dataset-completeness.ttl
• Examples catalog: open in catalog#example-slices-core-quality-examples-dataset-completeness

# SPDX-FileCopyrightText: 2026 Blackcat Informatics® Inc. <paudley@blackcatinformatics.ca>
# SPDX-License-Identifier: CC-BY-4.0
#
# Worked example: data quality IS a measurement. A gmeow:QualityAssessment
# is a gmeow:Observation subclass, so a completeness assessment carries the SAME
# bundle as any other measurement: gmeow:assessedEntity (the feature, a sub-
# property of observedFeature), a gmeow:qualityDimension naming WHICH quality, a
# gmeow:observationMethod, a gmeow:vantage (who assessed), and an entity-valued
# gmeow:ScalarQuantity result (98.5% with its unit) rather than a bare number.
# Quality is not a special boolean flag — it is an observation like temperature.
@prefix gmeow: <https://blackcatinformatics.ca/gmeow/> .
@prefix ex:    <https://blackcatinformatics.ca/gmeow/examples/quality/> .
@prefix xsd:   <http://www.w3.org/2001/XMLSchema#> .

# --- The assessment: which entity, which dimension, by what method, from whom.
ex:assessment a gmeow:QualityAssessment ;
    gmeow:assessedEntity    ex:dataset ;
    gmeow:qualityDimension  gmeow:qualityDimensionCompleteness ;
    gmeow:observationMethod gmeow:methodComputationalModel ;
    gmeow:vantage           ex:auditor ;
    gmeow:observationResult ex:completeness .

Common Companion Terms

gmeow:observedFeature, gmeow:QualityAssessment, gmeow:Entity

External Equivalences

Equivalent or closely aligned targets: dqv

Linkages

Generated from the canonical mapping DSL. SSSOM files are the generated public interchange form for term equivalences.

Term Equivalences

Usage Advice

Use when

• Use on a QualityAssessment to name the entity or dataset whose quality is under evaluation — the quality observation's feature of interest.

Avoid when

• Avoid for the assessment's numeric verdict (that is gmeow:observationResult) and for non-quality observations, which use gmeow:observedFeature directly.

How to use

• Assert gmeow:assessedEntity from the QualityAssessment to the subject entity; it specializes gmeow:observedFeature, so generic 'all observations about X' queries find it by inheritance.

Examples

• ex:posAcc gmeow:assessedEntity ex:roadLayer.