Lingotto station
E368204
Lingotto station is a key Turin Metro stop serving the Lingotto district, known for its proximity to the former Fiat Lingotto factory complex and nearby exhibition and commercial centers.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Lingotto railway station | 3 |
| Lingotto station canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3515775 — 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: Lingotto station Context triple: [Turin Metro, terminus, Lingotto station]
-
A.
Carlini Station
Carlini Station is an Argentine Antarctic research base on King George Island, focused on scientific studies of the polar environment and climate.
-
B.
Legarda station
Legarda station is an elevated rapid transit stop on Manila’s LRT Line 2 serving the Sampaloc area and nearby universities.
-
C.
Recto station
Recto station is an elevated terminal station of Manila’s LRT Line 2 located in the busy commercial district of Recto Avenue in the Philippines.
-
D.
Milano Cadorna station
Milano Cadorna station is a major railway and metro hub in central Milan that serves as a key terminus for regional and airport rail services.
-
E.
Ayala station
Ayala station is a major elevated rapid transit stop on Manila's MRT Line 3 serving the busy Makati Central Business District in the Philippines.
- 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: Lingotto station Target entity description: Lingotto station is a key Turin Metro stop serving the Lingotto district, known for its proximity to the former Fiat Lingotto factory complex and nearby exhibition and commercial centers.
-
A.
Carlini Station
Carlini Station is an Argentine Antarctic research base on King George Island, focused on scientific studies of the polar environment and climate.
-
B.
Legarda station
Legarda station is an elevated rapid transit stop on Manila’s LRT Line 2 serving the Sampaloc area and nearby universities.
-
C.
Recto station
Recto station is an elevated terminal station of Manila’s LRT Line 2 located in the busy commercial district of Recto Avenue in the Philippines.
-
D.
Milano Cadorna station
Milano Cadorna station is a major railway and metro hub in central Milan that serves as a key terminus for regional and airport rail services.
-
E.
Ayala station
Ayala station is a major elevated rapid transit stop on Manila's MRT Line 3 serving the busy Makati Central Business District in the Philippines.
- F. None of above. chosen
Statements (26)
| Predicate | Object |
|---|---|
| instanceOf |
Turin Metro station
ⓘ
rapid transit station ⓘ |
| cityServed | Turin ⓘ |
| connectsTo | other Turin Metro stations ⓘ |
| country | Italy ⓘ |
| hasFunction | public transport access to Lingotto district ⓘ |
| hasNearbyLandmark |
Fiat Lingotto building
ⓘ
linked to:
Lingotto building
Lingotto commercial center ⓘ
linked to:
Lingotto complex
Lingotto exhibition center ⓘ
linked to:
Lingotto complex
|
| hasRole | key stop on Turin Metro ⓘ |
| isInDistrict | Lingotto ⓘ |
| isServedBy |
Turin public transport system
ⓘ
linked to:
Turin public transport network
|
| locatedIn |
Italy
ⓘ
Piedmont ⓘ Turin ⓘ |
| locatedInMetropolitanArea | Metropolitan City of Turin ⓘ |
| locatedNear |
Fiat Lingotto factory
ⓘ
commercial centers in Lingotto ⓘ exhibition centers in Lingotto ⓘ former Fiat Lingotto factory complex ⓘ |
| partOf | Turin Metro ⓘ |
| primaryUse | passenger transport ⓘ |
| publicTransportSystem | Turin Metro ⓘ |
| railNetwork |
Turin Metro network
ⓘ
linked to:
Turin Metro
|
| serves | Lingotto district ⓘ |
| transportMode | metro ⓘ |
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: Lingotto station Description of subject: Lingotto station is a key Turin Metro stop serving the Lingotto district, known for its proximity to the former Fiat Lingotto factory complex and nearby exhibition and commercial centers.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Lingotto station
linked to: Lingotto station
linked to: Lingotto station