Tinder (historically, via Match Group prior to spin-off)
E100825
Tinder (historically, via Match Group prior to its spin-off) is a leading location-based dating and social discovery app best known for popularizing the swipe-based matching interface.
All labels observed (4)
| Label | Occurrences |
|---|---|
| Tinder | 3 |
| Tinder (historical stake via Match Group) | 1 |
| Tinder (historically, via Match Group prior to spin-off) canonical | 1 |
| Tinder Social (historical feature) | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T866634 — 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: Tinder (historically, via Match Group prior to spin-off) Context triple: [IAC, owns, Tinder (historically, via Match Group prior to spin-off)]
-
A.
Lyft
Lyft is a major American ride-hailing and transportation company that connects passengers with drivers through a mobile app platform.
-
B.
Snap Inc.
Snap Inc. is an American technology and social media company best known for developing the multimedia messaging app Snapchat and related camera and augmented reality products.
-
C.
Didi Chuxing
Didi Chuxing is a major Chinese ride-hailing and mobility technology company offering app-based transportation, taxi, and related services across numerous cities in China and abroad.
-
D.
PlumpJack Group
PlumpJack Group is a hospitality and lifestyle company known for its wineries, hotels, restaurants, and retail businesses, originally launched in San Francisco.
-
E.
Twitter, Inc.
Twitter, Inc. was a major social media and microblogging company best known for its real-time short-message platform that shaped online news, politics, and public discourse worldwide.
- 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: Tinder (historically, via Match Group prior to spin-off) Target entity description: Tinder (historically, via Match Group prior to its spin-off) is a leading location-based dating and social discovery app best known for popularizing the swipe-based matching interface.
-
A.
Lyft
Lyft is a major American ride-hailing and transportation company that connects passengers with drivers through a mobile app platform.
-
B.
Snap Inc.
Snap Inc. is an American technology and social media company best known for developing the multimedia messaging app Snapchat and related camera and augmented reality products.
-
C.
Didi Chuxing
Didi Chuxing is a major Chinese ride-hailing and mobility technology company offering app-based transportation, taxi, and related services across numerous cities in China and abroad.
-
D.
PlumpJack Group
PlumpJack Group is a hospitality and lifestyle company known for its wineries, hotels, restaurants, and retail businesses, originally launched in San Francisco.
-
E.
Twitter, Inc.
Twitter, Inc. was a major social media and microblogging company best known for its real-time short-message platform that shaped online news, politics, and public discourse worldwide.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
mobile dating application
ⓘ
online dating service ⓘ social discovery platform ⓘ |
| availableIn | multiple countries worldwide ⓘ |
| businessModel | freemium ⓘ |
| category |
lifestyle app
ⓘ
social networking app ⓘ |
| countryOfOrigin |
United States of America
ⓘ
surface form:
United States
|
| developer |
Hatch Labs
ⓘ
Match Group (historically, prior to spin-off) ⓘ
surface form:
Match Group
|
| hasCompetitor |
Bumble
ⓘ
Grindr ⓘ Hinge ⓘ OkCupid ⓘ |
| hasFeature |
Boost
ⓘ
Passport location change ⓘ Super Like ⓘ Tinder Gold subscription ⓘ Tinder Platinum subscription ⓘ Tinder Plus subscription ⓘ Tinder (historically, via Match Group prior to spin-off) self-linksurface differs ⓘ
surface form:
Tinder Social (historical feature)
Tinder U college mode ⓘ location-based matching ⓘ mutual opt-in chat ⓘ swipe-based matching interface ⓘ |
| headquartersLocation |
Los Angeles, California, United States of America
ⓘ
surface form:
Los Angeles, California
|
| industry |
online dating
ⓘ
social networking ⓘ |
| knownFor |
location-based matching for dating
ⓘ
popularizing swipe-based dating interface ⓘ |
| launchDate | 2012 ⓘ |
| launchPlatform | iOS ⓘ |
| monetization |
in-app purchases
ⓘ
subscription revenue ⓘ |
| operatedBy |
Match Group (historically, prior to spin-off)
ⓘ
surface form:
Match Group
|
| ownedBy |
Match Group (historically, prior to spin-off)
ⓘ
surface form:
Match Group
|
| parentCompanyHistorical |
IAC
ⓘ
Match Group (historically, prior to spin-off) ⓘ
surface form:
Match Group (prior to Match Group spin-off from IAC)
|
| partOf | Match Group portfolio ⓘ |
| platform |
Android
ⓘ
iOS ⓘ web ⓘ |
| primaryUseCase | romantic dating ⓘ |
| secondaryUseCase |
casual dating
ⓘ
social discovery ⓘ |
| supportsLoginMethod |
Apple ID
ⓘ
Facebook ⓘ
surface form:
Facebook account
phone number ⓘ |
| targetDemographic | young adults ⓘ |
| userRegistration | required ⓘ |
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: Tinder (historically, via Match Group prior to spin-off) Description of subject: Tinder (historically, via Match Group prior to its spin-off) is a leading location-based dating and social discovery app best known for popularizing the swipe-based matching interface.
Referenced by (6)
Full triples — surface form annotated when it differs from this entity's canonical label.
Tinder (historically, via Match Group prior to spin-off)
→
hasFeature
→
Tinder (historically, via Match Group prior to spin-off)
self-linksurface differs
ⓘ
subject surface form:
Tinder
this entity surface form:
Tinder Social (historical feature)
Match Group (historically, prior to spin-off)
→
operatedPlatform
→
Tinder (historically, via Match Group prior to spin-off)
ⓘ
subject surface form:
Match Group
this entity surface form:
Tinder
Match Group (historically, prior to spin-off)
→
ownsBrand
→
Tinder (historically, via Match Group prior to spin-off)
ⓘ
subject surface form:
Match Group
this entity surface form:
Tinder
Match Group (historically, prior to spin-off)
→
notableBrand
→
Tinder (historically, via Match Group prior to spin-off)
ⓘ
subject surface form:
Match Group
this entity surface form:
Tinder
this entity surface form:
Tinder (historical stake via Match Group)