Tagged
E487084
Tagged is a social networking service known for its focus on meeting new people through social discovery features like games, profiles, and friend suggestions.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Tagged canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T5008061 — 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: Tagged Context triple: [Hi5, acquiredBy, Tagged]
-
A.
TAG
TAG is the W3C Technical Architecture Group, a committee that steers the architectural principles and long-term technical direction of the World Wide Web.
-
B.
Tok
Tok is a small unincorporated community in eastern Alaska, known as a gateway to the state for travelers on the Alaska Highway.
-
C.
Hung
Hung is an American comedy-drama television series that aired on HBO, following a struggling high school coach who turns to an unusual side job to make ends meet.
-
D.
EZ TAG
EZ TAG is an electronic toll collection system used on certain Texas toll roads that allows drivers to pay tolls automatically without stopping.
-
E.
Last Seen Wearing
"Last Seen Wearing" is a crime novel in Colin Dexter's Inspector Morse series, featuring the detective's investigation into the disappearance of a schoolgirl.
- 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: Tagged Target entity description: Tagged is a social networking service known for its focus on meeting new people through social discovery features like games, profiles, and friend suggestions.
-
A.
TAG
TAG is the W3C Technical Architecture Group, a committee that steers the architectural principles and long-term technical direction of the World Wide Web.
-
B.
Tok
Tok is a small unincorporated community in eastern Alaska, known as a gateway to the state for travelers on the Alaska Highway.
-
C.
Hung
Hung is an American comedy-drama television series that aired on HBO, following a struggling high school coach who turns to an unusual side job to make ends meet.
-
D.
EZ TAG
EZ TAG is an electronic toll collection system used on certain Texas toll roads that allows drivers to pay tolls automatically without stopping.
-
E.
Last Seen Wearing
"Last Seen Wearing" is a crime novel in Colin Dexter's Inspector Morse series, featuring the detective's investigation into the disappearance of a schoolgirl.
- F. None of above. chosen
Statements (40)
| Predicate | Object |
|---|---|
| instanceOf |
online community
ⓘ
social networking service ⓘ website ⓘ |
| accessibleVia |
mobile devices
ⓘ
web browser ⓘ |
| allows |
users to add friends
ⓘ
users to create personal profiles ⓘ users to play games with others ⓘ users to send messages ⓘ users to upload photos ⓘ |
| businessModel |
freemium services
ⓘ
online advertising ⓘ |
| contentType | user-generated content ⓘ |
| focusesOn |
meeting new people
ⓘ
social discovery ⓘ |
| hasCharacteristic |
interest-based social networking
ⓘ
people discovery platform ⓘ |
| hasDiscoveryMechanism |
algorithmic friend suggestions
ⓘ
game-based introductions ⓘ profile browsing ⓘ |
| offersFeature |
friend suggestions
ⓘ
messaging ⓘ photo sharing ⓘ social games ⓘ status updates ⓘ user profiles ⓘ |
| operatesInDomain |
online social networking
ⓘ
social discovery services ⓘ |
| primaryUseCase |
expanding social circles
ⓘ
meeting new people online ⓘ |
| supports |
asynchronous communication
ⓘ
real-time interaction ⓘ |
| supportsActivity |
browsing other users
ⓘ
commenting on profiles ⓘ joining social groups ⓘ liking content ⓘ playing games with other users ⓘ sending friend requests ⓘ |
| targetAudience |
people seeking social connections online
ⓘ
people seeking to meet new friends ⓘ |
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: Tagged Description of subject: Tagged is a social networking service known for its focus on meeting new people through social discovery features like games, profiles, and friend suggestions.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.