C-3a
E140898
C-3a is a commuter rail line within the Cercanías Madrid network serving suburban areas around Spain’s capital.
All labels observed (1)
| Label | Occurrences |
|---|---|
| C-3a canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1236005 — 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: C-3a Context triple: [Cercanías Madrid, line, C-3a]
-
A.
C.205
C.205 is the Italian Air Force designation for the Macchi C.205 Veltro, a World War II-era single-seat fighter aircraft.
-
B.
A3C
A3C (Asynchronous Advantage Actor-Critic) is a reinforcement learning algorithm that trains multiple parallel agents to learn policies and value functions efficiently using asynchronous gradient updates.
-
C.
TCA
TCA is the commonly used abbreviation for the Technical Cooperation Administration, a former U.S. government agency responsible for administering foreign aid and technical assistance programs.
-
D.
CUB
CUB is the three-letter ISO 3166-1 alpha-3 country code assigned to Cuba for international standardization and identification purposes.
-
E.
CUB
CUB is the ICAO airline designator assigned to Cubana de Aviación, the national flag carrier of Cuba.
- 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: C-3a Target entity description: C-3a is a commuter rail line within the Cercanías Madrid network serving suburban areas around Spain’s capital.
-
A.
C.205
C.205 is the Italian Air Force designation for the Macchi C.205 Veltro, a World War II-era single-seat fighter aircraft.
-
B.
A3C
A3C (Asynchronous Advantage Actor-Critic) is a reinforcement learning algorithm that trains multiple parallel agents to learn policies and value functions efficiently using asynchronous gradient updates.
-
C.
TCA
TCA is the commonly used abbreviation for the Technical Cooperation Administration, a former U.S. government agency responsible for administering foreign aid and technical assistance programs.
-
D.
CUB
CUB is the three-letter ISO 3166-1 alpha-3 country code assigned to Cuba for international standardization and identification purposes.
-
E.
CUB
CUB is the ICAO airline designator assigned to Cubana de Aviación, the national flag carrier of Cuba.
- F. None of above. chosen
Statements (21)
| Predicate | Object |
|---|---|
| instanceOf |
Cercanías Madrid line
ⓘ
commuter rail line ⓘ |
| country | Spain ⓘ |
| electrification | overhead line ⓘ |
| fareSystem | Madrid public transport fare zones ⓘ |
| gauge | Iberian gauge ⓘ |
| hasMode | rail ⓘ |
| isInService | true ⓘ |
| locatedIn | Community of Madrid ⓘ |
| networkType | suburban rail network ⓘ |
| operator | Renfe Operadora ⓘ |
| partOf |
Cercanías Madrid
ⓘ
linked to:
Cercanías Madrid commuter rail
|
| primaryCityServed | Madrid ⓘ |
| publicTransportSystem | Madrid commuter rail system ⓘ |
| railNetwork |
Cercanías Madrid network
ⓘ
linked to:
Cercanías Madrid commuter rail
|
| regionServed | central Spain ⓘ |
| serves |
Madrid metropolitan area
ⓘ
suburban areas around Madrid ⓘ |
| servicePattern | commuter service ⓘ |
| transportType | commuter rail ⓘ |
| usesInfrastructureOf | Adif ⓘ |
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: C-3a Description of subject: C-3a is a commuter rail line within the Cercanías Madrid network serving suburban areas around Spain’s capital.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
Cercanías Madrid commuter rail