Pontinha depot
E104066
Pontinha depot is a maintenance and storage facility serving the Lisbon Metro system in Lisbon, Portugal.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Pontinha depot canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T876798 — 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: Pontinha depot Context triple: [Lisbon Metro, hasDepot, Pontinha depot]
-
A.
Wellington Yard
Wellington Yard is a railway yard associated with Wellington station, used for storing, organizing, and managing trains and rolling stock.
-
B.
Fürth depot
Fürth depot is a maintenance and storage facility serving the Nuremberg U-Bahn rapid transit system in the Fürth area of Germany.
-
C.
Jubany Station
Jubany Station is an Argentine Antarctic research base located on King George Island near the Antarctic Peninsula, supporting scientific studies in fields such as glaciology, biology, and atmospheric science.
-
D.
O’Higgins Station
O’Higgins Station is a Chilean Antarctic research base located on the Antarctic Peninsula, used primarily for scientific studies and maintaining Chile’s presence in the region.
-
E.
Queens Road depot
Queens Road depot is a major tram maintenance and operations facility serving the Manchester Metrolink light rail network.
- 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: Pontinha depot Target entity description: Pontinha depot is a maintenance and storage facility serving the Lisbon Metro system in Lisbon, Portugal.
-
A.
Wellington Yard
Wellington Yard is a railway yard associated with Wellington station, used for storing, organizing, and managing trains and rolling stock.
-
B.
Fürth depot
Fürth depot is a maintenance and storage facility serving the Nuremberg U-Bahn rapid transit system in the Fürth area of Germany.
-
C.
Jubany Station
Jubany Station is an Argentine Antarctic research base located on King George Island near the Antarctic Peninsula, supporting scientific studies in fields such as glaciology, biology, and atmospheric science.
-
D.
O’Higgins Station
O’Higgins Station is a Chilean Antarctic research base located on the Antarctic Peninsula, used primarily for scientific studies and maintaining Chile’s presence in the region.
-
E.
Queens Road depot
Queens Road depot is a major tram maintenance and operations facility serving the Manchester Metrolink light rail network.
- F. None of above. chosen
Statements (20)
| Predicate | Object |
|---|---|
| instanceOf |
metro depot
ⓘ
railway depot ⓘ transport infrastructure ⓘ |
| continent | Europe ⓘ |
| country | Portugal ⓘ |
| function |
rolling stock maintenance
ⓘ
rolling stock storage ⓘ |
| hasLanguageOfLocation | Portuguese ⓘ |
| locatedIn |
Lisbon
ⓘ
Lisbon District ⓘ Lisbon metropolitan area ⓘ Pontinha ⓘ Portugal ⓘ |
| locatedInMunicipality | Odivelas Municipality ⓘ |
| networkTypeServed | metro ⓘ |
| operator |
Metropolitano de Lisboa, EPE
ⓘ
linked to:
Lisbon Metro
|
| owner |
Metropolitano de Lisboa, EPE
ⓘ
linked to:
Lisbon Metro
|
| partOf |
Lisbon Metro infrastructure
ⓘ
linked to:
Lisbon Metro
|
| serves | Lisbon Metro ⓘ |
| servesCity | Lisbon ⓘ |
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: Pontinha depot Description of subject: Pontinha depot is a maintenance and storage facility serving the Lisbon Metro system in Lisbon, Portugal.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.