RCM
E1019801
RCM is the FAA location identifier assigned to Skyhaven Airport in the United States aviation system.
All labels observed (1)
| Label | Occurrences |
|---|---|
| RCM canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T13098269 — 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: RCM Context triple: [Skyhaven Airport, FAA LID, RCM]
-
A.
RCM
RCM is a Canadian Earth observation satellite constellation that uses radar imaging to monitor environmental changes, maritime activity, and national security.
-
B.
RCM Library
RCM Library is the main music research and reference library of the Royal College of Music, housing extensive collections of scores, recordings, and archival materials for study and performance.
-
C.
RMC
RMC is the Royal Military College at Duntroon, Australia’s principal officer training academy for the Australian Army.
-
D.
RCF
RCF is a historic French multi-sport club based in Paris, best known for its football and rugby sections.
-
E.
RCD
RCD is a former dominant political party in Tunisia that ruled the country for decades under President Zine El Abidine Ben Ali until its dissolution after the 2011 revolution.
- 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: RCM Target entity description: RCM is the FAA location identifier assigned to Skyhaven Airport in the United States aviation system.
-
A.
RCM
RCM is a Canadian Earth observation satellite constellation that uses radar imaging to monitor environmental changes, maritime activity, and national security.
-
B.
RCM Library
RCM Library is the main music research and reference library of the Royal College of Music, housing extensive collections of scores, recordings, and archival materials for study and performance.
-
C.
RMC
RMC is the Royal Military College at Duntroon, Australia’s principal officer training academy for the Australian Army.
-
D.
RCF
RCF is a historic French multi-sport club based in Paris, best known for its football and rugby sections.
-
E.
RCD
RCD is a former dominant political party in Tunisia that ruled the country for decades under President Zine El Abidine Ben Ali until its dissolution after the 2011 revolution.
- F. None of above. chosen
Statements (10)
| Predicate | Object |
|---|---|
| instanceOf | FAA location identifier ⓘ |
| appliesTo | airport ⓘ |
| country |
United States
ⓘ
linked to:
United States of America
|
| hasFAALocationIdentifier | RCM ⓘ |
| identifierType | airport identifier ⓘ |
| identifies | Skyhaven Airport ⓘ |
| notation | three-letter code ⓘ |
| status | active (FAA identifier) ⓘ |
| system |
United States aviation system
ⓘ
linked to:
National Airspace System
|
| usedBy | Federal Aviation Administration ⓘ |
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: RCM Description of subject: RCM is the FAA location identifier assigned to Skyhaven Airport in the United States aviation system.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.