Ola Micro
E191356
Ola Micro is a budget-friendly ride option from Indian ride-hailing company Ola, offering low-cost cab services for short-distance urban travel.
All labels observed (2)
How this entity was disambiguated
This entity first appeared as the object of triple T1688602 — 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: Ola Micro Context triple: [Ola Cabs, offersProduct, Ola Micro]
-
A.
Mikrolimano
Mikrolimano is a picturesque small harbor and marina in Piraeus, Greece, known for its waterfront tavernas, seafood restaurants, and vibrant nightlife.
-
B.
Ovi
Ovi is the widely recognized nickname of Alex Ovechkin, the prolific Russian goal-scorer and NHL superstar.
-
C.
Wuling Hongguang MINI EV
The Wuling Hongguang MINI EV is a popular ultra-compact, low-cost electric city car from China that has become known for making electric mobility widely accessible.
-
D.
Moto E
Moto E is a line of budget-friendly Android smartphones produced by Motorola Mobility, known for offering essential features at low cost.
-
E.
Fitel
Fitel was a financial technology startup where Jeff Bezos worked early in his career, before joining D. E. Shaw and later founding Amazon.
- 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: Ola Micro Target entity description: Ola Micro is a budget-friendly ride option from Indian ride-hailing company Ola, offering low-cost cab services for short-distance urban travel.
-
A.
Mikrolimano
Mikrolimano is a picturesque small harbor and marina in Piraeus, Greece, known for its waterfront tavernas, seafood restaurants, and vibrant nightlife.
-
B.
Ovi
Ovi is the widely recognized nickname of Alex Ovechkin, the prolific Russian goal-scorer and NHL superstar.
-
C.
Wuling Hongguang MINI EV
The Wuling Hongguang MINI EV is a popular ultra-compact, low-cost electric city car from China that has become known for making electric mobility widely accessible.
-
D.
Moto E
Moto E is a line of budget-friendly Android smartphones produced by Motorola Mobility, known for offering essential features at low cost.
-
E.
Fitel
Fitel was a financial technology startup where Jeff Bezos worked early in his career, before joining D. E. Shaw and later founding Amazon.
- F. None of above. chosen
Statements (34)
| Predicate | Object |
|---|---|
| instanceOf |
budget cab segment
ⓘ
ride-hailing service category ⓘ |
| bookingMethod |
Ola
ⓘ
surface form:
Ola mobile app
|
| bookingPlatform |
Android app
ⓘ
iOS app ⓘ mobile web (via Ola) ⓘ |
| brandOf | Ola Cabs ride categories ⓘ |
| hasFeature |
GPS-based navigation
ⓘ
app-based booking ⓘ driver rating system ⓘ fare estimate before booking ⓘ in-app support ⓘ ride tracking ⓘ |
| offeredBy |
ANI Technologies Pvt. Ltd.
ⓘ
Ola Cabs ⓘ |
| operatesInCountry | India ⓘ |
| operatesInEnvironment | urban areas ⓘ |
| operatesInSector |
app-based mobility
ⓘ
urban transportation ⓘ |
| parentCompanyHeadquarters | Bengaluru ⓘ |
| paymentOptions |
UPI
ⓘ
cash ⓘ credit card ⓘ debit card ⓘ digital wallets ⓘ |
| positionedAs | affordable alternative to auto-rickshaws in some cities ⓘ |
| pricingPositioning | lower than standard Ola categories ⓘ |
| serviceType |
budget-friendly ride option
ⓘ
low-cost cab service ⓘ short-distance urban travel service ⓘ |
| targetMarket | price-sensitive riders ⓘ |
| targetUseCase |
daily urban commute
ⓘ
short-distance trips ⓘ |
| vehicleType | small hatchback cars ⓘ |
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: Ola Micro Description of subject: Ola Micro is a budget-friendly ride option from Indian ride-hailing company Ola, offering low-cost cab services for short-distance urban travel.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Ola Mini
this entity surface form:
Ola Mini