OUN
E754008
OUN is the National Weather Service forecast office identifier for the Norman, Oklahoma weather forecast and warning center.
All labels observed (1)
| Label | Occurrences |
|---|---|
| OUN canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T8718113 — 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: OUN Context triple: [National Weather Service Forecast Office Norman, NWSOfficeIdentifier, OUN]
-
A.
OU
OU is a major public research university located in Norman, Oklahoma, known for its strong academic programs and prominent athletics, especially college football.
-
B.
OU
OU is the IATA airline designator assigned to Croatia Airlines, the national flag carrier of Croatia.
-
C.
OU
OU is the commonly used abbreviation for the University of Ostrava, a public university located in Ostrava, Czech Republic.
-
D.
OUS
OUS is the abbreviation for the Oregon University System, the former governing body for public universities in the U.S. state of Oregon.
-
E.
NU
NU is the vehicle registration code used on license plates for the district of Neu-Ulm in Bavaria, Germany.
- 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: OUN Target entity description: OUN is the National Weather Service forecast office identifier for the Norman, Oklahoma weather forecast and warning center.
-
A.
OU
OU is a major public research university located in Norman, Oklahoma, known for its strong academic programs and prominent athletics, especially college football.
-
B.
OU
OU is the IATA airline designator assigned to Croatia Airlines, the national flag carrier of Croatia.
-
C.
OU
OU is the commonly used abbreviation for the University of Ostrava, a public university located in Ostrava, Czech Republic.
-
D.
OUS
OUS is the abbreviation for the Oregon University System, the former governing body for public universities in the U.S. state of Oregon.
-
E.
NU
NU is the vehicle registration code used on license plates for the district of Neu-Ulm in Bavaria, Germany.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
NWS office identifier
ⓘ
National Weather Service forecast office identifier ⓘ |
| associatedWithOrganization |
NOAA
NERFINISHED
ⓘ
National Weather Service NERFINISHED ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| hasAbbreviationExpansion | Norman, Oklahoma NWS office code ⓘ |
| hasType | forecast office identifier ⓘ |
| identifierFor | NWS Norman, Oklahoma forecast office NERFINISHED ⓘ |
| locatedIn | Norman, Oklahoma NERFINISHED ⓘ |
| operatedBy | National Weather Service Norman, Oklahoma office NERFINISHED ⓘ |
| regionServed |
central Oklahoma
NERFINISHED
ⓘ
portions of northern Texas ⓘ portions of western Oklahoma ⓘ |
| relatedTo |
KOUN WSR-88D radar
NERFINISHED
ⓘ
National Severe Storms Laboratory NERFINISHED ⓘ Storm Prediction Center NERFINISHED ⓘ |
| represents | National Weather Service Forecast Office Norman NERFINISHED ⓘ |
| usedFor |
climate services
ⓘ
hydrologic forecasts ⓘ weather forecasts ⓘ weather warnings ⓘ weather watches ⓘ |
| usedInSystem |
NWS forecast databases
ⓘ
NWS product headers ⓘ National Weather Service communications NERFINISHED ⓘ |
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: OUN Description of subject: OUN is the National Weather Service forecast office identifier for the Norman, Oklahoma weather forecast and warning center.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.