WIP-FM
E399298
WIP-FM is a Philadelphia-based sports radio station known for its live coverage of local teams and sports talk programming.
All labels observed (2)
How this entity was disambiguated
This entity first appeared as the object of triple T3930167 — 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: WIP-FM Context triple: [KYW (AM), sisterStation, WIP-FM]
-
A.
Wasafi FM
Wasafi FM is a Tanzanian radio station associated with the Wasafi media brand founded by musician Diamond Platnumz, known for broadcasting contemporary Bongo Flava and entertainment content.
-
B.
WMKK
WMKK is the ICAO airport code for Kuala Lumpur International Airport, the main hub for Malaysia Airlines.
-
C.
WNGX
WNGX is the radio callsign assigned to the vessel M/V Aurora, used for its maritime identification and communication.
-
D.
WDSY-FM
WDSY-FM is a Pittsburgh-based country music radio station that serves as a major FM outlet in the region.
-
E.
KENW-FM
KENW-FM is a public radio station serving eastern New Mexico, operated by Eastern New Mexico University and known for its news, educational, and cultural programming.
- 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: WIP-FM Target entity description: WIP-FM is a Philadelphia-based sports radio station known for its live coverage of local teams and sports talk programming.
-
A.
Wasafi FM
Wasafi FM is a Tanzanian radio station associated with the Wasafi media brand founded by musician Diamond Platnumz, known for broadcasting contemporary Bongo Flava and entertainment content.
-
B.
WMKK
WMKK is the ICAO airport code for Kuala Lumpur International Airport, the main hub for Malaysia Airlines.
-
C.
WNGX
WNGX is the radio callsign assigned to the vessel M/V Aurora, used for its maritime identification and communication.
-
D.
WDSY-FM
WDSY-FM is a Pittsburgh-based country music radio station that serves as a major FM outlet in the region.
-
E.
KENW-FM
KENW-FM is a public radio station serving eastern New Mexico, operated by Eastern New Mexico University and known for its news, educational, and cultural programming.
- F. None of above. chosen
Statements (40)
| Predicate | Object |
|---|---|
| instanceOf |
commercial radio station
ⓘ
radio station ⓘ sports radio station ⓘ |
| band | FM ⓘ |
| branding | SportsRadio 94WIP ⓘ |
| broadcastArea | Delaware Valley ⓘ |
| callSignMeaning |
Wi‑Fi
ⓘ
surface form:
“Wireless In Philadelphia” (commonly cited backronym)
|
| city | Philadelphia ⓘ |
| contentFocus |
college sports
ⓘ
fan call-in segments ⓘ professional sports ⓘ sports analysis ⓘ sports news ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| format | sports radio ⓘ |
| frequency | 94.1 MHz ⓘ |
| knownFor |
coverage of Philadelphia 76ers
ⓘ
coverage of Philadelphia Eagles ⓘ coverage of Philadelphia Flyers ⓘ coverage of Philadelphia Phillies ⓘ coverage of local Philadelphia sports teams ⓘ |
| language | English ⓘ |
| licensee |
Audacy, Inc.
ⓘ
surface form:
Audacy License, LLC
|
| market | Philadelphia radio market ⓘ |
| networkAffiliation |
CBS Sports Radio
ⓘ
surface form:
CBS Sports Radio (partial)
|
| notableProgramType | local sports talk shows ⓘ |
| owner | Audacy, Inc. ⓘ |
| primaryContent |
live sports play-by-play
ⓘ
sports talk ⓘ |
| programmingType | locally focused sports talk ⓘ |
| sisterStation |
KYW (AM)
ⓘ
surface form:
KYW
KYW (AM) ⓘ
surface form:
KYW-FM
WOGL ⓘ WPHI-FM ⓘ WPHT ⓘ WTDY-FM ⓘ |
| state | Pennsylvania ⓘ |
| targetAudience | sports fans in the Philadelphia area ⓘ |
| webcast | online streaming via Audacy platform ⓘ |
| website | https://www.audacy.com/sportsradio94wip ⓘ |
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: WIP-FM Description of subject: WIP-FM is a Philadelphia-based sports radio station known for its live coverage of local teams and sports talk programming.
Referenced by (6)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
WIP (AM)