Finance Road
E903364
Finance Road is a street located in New Delhi, India, in the central administrative area near major government buildings and cultural institutions.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Finance Road canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11072464 — 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: Finance Road Context triple: [National Museum complex vicinity, near, Finance Road]
-
A.
FinanceScout24
FinanceScout24 is an online comparison and brokerage platform that helps consumers find and manage financial products such as insurance, loans, and investments.
-
B.
FinanceScout24 GmbH
FinanceScout24 GmbH is a German online platform specializing in the comparison and brokerage of financial and insurance products, operating as part of the Scout24 group.
-
C.
Market Data + Services
Market Data + Services is a Deutsche Börse business division that provides financial market data, analytics, and related information services to market participants.
-
D.
Boursorama
Boursorama is a French online bank and financial services company known for its low-cost digital banking and brokerage offerings.
-
E.
Serer Finance
Serer Finance is a film production company best known for its involvement in financing and producing the acclaimed drama "Dallas Buyers Club."
- 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: Finance Road Target entity description: Finance Road is a street located in New Delhi, India, in the central administrative area near major government buildings and cultural institutions.
-
A.
FinanceScout24
FinanceScout24 is an online comparison and brokerage platform that helps consumers find and manage financial products such as insurance, loans, and investments.
-
B.
FinanceScout24 GmbH
FinanceScout24 GmbH is a German online platform specializing in the comparison and brokerage of financial and insurance products, operating as part of the Scout24 group.
-
C.
Market Data + Services
Market Data + Services is a Deutsche Börse business division that provides financial market data, analytics, and related information services to market participants.
-
D.
Boursorama
Boursorama is a French online bank and financial services company known for its low-cost digital banking and brokerage offerings.
-
E.
Serer Finance
Serer Finance is a film production company best known for its involvement in financing and producing the acclaimed drama "Dallas Buyers Club."
- F. None of above. chosen
Statements (16)
| Predicate | Object |
|---|---|
| instanceOf |
road
ⓘ
street ⓘ |
| city |
New Delhi, India
ⓘ
surface form:
New Delhi
|
| country | India ⓘ |
| hasFunction | urban thoroughfare ⓘ |
| hasNameLanguage | English ⓘ |
| isPublicInfrastructure | true ⓘ |
| locatedIn |
Delhi
NERFINISHED
ⓘ
India ⓘ National Capital Territory of Delhi NERFINISHED ⓘ New Delhi, India ⓘ
surface form:
New Delhi
|
| near |
cultural institutions in New Delhi
ⓘ
major government buildings in New Delhi ⓘ |
| partOf | central administrative area of New Delhi ⓘ |
| usedFor |
pedestrian access
ⓘ
vehicular traffic ⓘ |
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: Finance Road Description of subject: Finance Road is a street located in New Delhi, India, in the central administrative area near major government buildings and cultural institutions.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.