Intelligent Tracking Prevention
E127266
Intelligent Tracking Prevention is a Safari privacy technology that uses machine learning to limit cross-site tracking and reduce advertisers’ ability to follow users across the web.
All labels observed (7)
How this entity was disambiguated
This entity first appeared as the object of triple T1096822 — 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.
Target entity: Intelligent Tracking Prevention Context triple: [Apple Safari, feature, Intelligent Tracking Prevention]
-
A.
Epic Privacy Browser
Epic Privacy Browser is a Chromium-based web browser focused on protecting user privacy through built-in ad and tracker blocking, encrypted proxy, and minimal data collection.
-
B.
InPrivate browsing
InPrivate browsing is Microsoft Edge’s private browsing mode that helps prevent your browsing history, cookies, and other data from being saved on your device.
-
C.
Avast Secure Browser
Avast Secure Browser is a privacy-focused web browser developed by Avast that emphasizes security features like built-in ad blocking, anti-tracking, and protection against malicious websites.
-
D.
Brave web browser
Brave web browser is a privacy-focused, open-source web browser known for its built-in ad and tracker blocking and optional cryptocurrency-based rewards system for users and publishers.
-
E.
Google Analytics 4
Google Analytics 4 is Google’s latest-generation web and app analytics platform that tracks user behavior across devices and channels to provide privacy-focused, event-based insights for marketers and businesses.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Intelligent Tracking Prevention Target entity description: Intelligent Tracking Prevention is a Safari privacy technology that uses machine learning to limit cross-site tracking and reduce advertisers’ ability to follow users across the web.
-
A.
Epic Privacy Browser
Epic Privacy Browser is a Chromium-based web browser focused on protecting user privacy through built-in ad and tracker blocking, encrypted proxy, and minimal data collection.
-
B.
InPrivate browsing
InPrivate browsing is Microsoft Edge’s private browsing mode that helps prevent your browsing history, cookies, and other data from being saved on your device.
-
C.
Avast Secure Browser
Avast Secure Browser is a privacy-focused web browser developed by Avast that emphasizes security features like built-in ad blocking, anti-tracking, and protection against malicious websites.
-
D.
Brave web browser
Brave web browser is a privacy-focused, open-source web browser known for its built-in ad and tracker blocking and optional cryptocurrency-based rewards system for users and publishers.
-
E.
Google Analytics 4
Google Analytics 4 is Google’s latest-generation web and app analytics platform that tracks user behavior across devices and channels to provide privacy-focused, event-based insights for marketers and businesses.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
Safari feature
ⓘ
privacy technology ⓘ tracking prevention feature ⓘ |
| affects |
ad tech companies
ⓘ
online advertising tracking ⓘ |
| announcedAt |
Apple WWDC 2017
ⓘ
surface form:
WWDC 2017
|
| availableIn |
Safari
ⓘ
surface form:
Safari for iOS
Safari ⓘ
surface form:
Safari for iPadOS
Safari ⓘ
surface form:
Safari for macOS
|
| availableOn |
iOS
ⓘ
iPadOS ⓘ macOS ⓘ |
| blocks | third-party tracking cookies in many cases ⓘ |
| classificationMethod | classifies domains based on tracking behavior ⓘ |
| comparedWith |
Google Chrome
ⓘ
surface form:
Google Chrome privacy sandbox
Mozilla Enhanced Tracking Protection ⓘ |
| componentOf |
Apple privacy protections
ⓘ
Safari privacy features ⓘ |
| dataProcessing | performs tracking analysis locally on device ⓘ |
| defaultState | enabled by default in modern Safari versions ⓘ |
| designedFor | end users of Safari ⓘ |
| developedBy | Apple Inc. ⓘ |
| governedBy | Safari privacy settings ⓘ |
| hasPurpose |
limit cross-site tracking
ⓘ
mitigate tracking via cookies ⓘ protect user privacy ⓘ reduce advertisers’ ability to follow users across the web ⓘ reduce third-party tracking ⓘ |
| hasVersion |
Intelligent Tracking Prevention
self-linksurface differs
ⓘ
surface form:
Intelligent Tracking Prevention 1.0
Intelligent Tracking Prevention self-linksurface differs ⓘ
surface form:
Intelligent Tracking Prevention 2.0
Intelligent Tracking Prevention self-linksurface differs ⓘ
surface form:
Intelligent Tracking Prevention 2.1
Intelligent Tracking Prevention self-linksurface differs ⓘ
surface form:
Intelligent Tracking Prevention 2.2
Intelligent Tracking Prevention self-linksurface differs ⓘ
surface form:
Intelligent Tracking Prevention 2.3
Intelligent Tracking Prevention self-linksurface differs ⓘ
surface form:
Intelligent Tracking Prevention 3.0
|
| introducedBy | Apple Inc. ⓘ |
| introducedInProduct | Safari ⓘ |
| introducedInVersion |
Apple Safari
ⓘ
surface form:
Safari 11
|
| introducedInYear | 2017 ⓘ |
| limits |
cookie lifespan for tracking cookies
ⓘ
cross-site cookie access ⓘ |
| operatesOn |
cookies
ⓘ
website data ⓘ |
| relatedTo |
anti-tracking technologies
ⓘ
content blocking ⓘ |
| storesData | tracking classification on device ⓘ |
| targets |
cross-site tracking cookies
ⓘ
third-party cookies ⓘ |
| usesTechnology |
machine learning
ⓘ
on-device machine learning ⓘ |
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.
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.
Subject: Intelligent Tracking Prevention Description of subject: Intelligent Tracking Prevention is a Safari privacy technology that uses machine learning to limit cross-site tracking and reduce advertisers’ ability to follow users across the web.
Referenced by (8)
Full triples — surface form annotated when it differs from this entity's canonical label.