nasmiles
E843654
nasmiles is the frequent-flyer loyalty program of Saudi low-cost airline Flynas, offering members points and rewards for their travel and related spending.
All labels observed (1)
| Label | Occurrences |
|---|---|
| nasmiles canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10155372 — 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: nasmiles Context triple: [Flynas, loyaltyProgram, nasmiles]
-
A.
SMI
SMI is the IATA airport code for Samos International Airport, the main air gateway to the Greek island of Samos.
-
B.
SMI
SMI is the Swiss Market Index, a leading stock market index that tracks the performance of major blue-chip companies listed on the SIX Swiss Exchange.
-
C.
SMI
SMI is the vehicle registration code assigned to the town of Mikołów in Poland.
-
D.
SMO
SMO is the IATA airport code for Santa Monica Airport, a general aviation facility located in Santa Monica, California.
-
E.
Sm6
Sm6 is a class of high-speed electric multiple unit trains used on the Allegro service between Finland and Russia.
- 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: nasmiles Target entity description: nasmiles is the frequent-flyer loyalty program of Saudi low-cost airline Flynas, offering members points and rewards for their travel and related spending.
-
A.
SMI
SMI is the IATA airport code for Samos International Airport, the main air gateway to the Greek island of Samos.
-
B.
SMI
SMI is the vehicle registration code assigned to the town of Mikołów in Poland.
-
C.
SMI
SMI is the Swiss Market Index, a leading stock market index that tracks the performance of major blue-chip companies listed on the SIX Swiss Exchange.
-
D.
SMO
SMO is the IATA airport code for Santa Monica Airport, a general aviation facility located in Santa Monica, California.
-
E.
Sm6
Sm6 is a class of high-speed electric multiple unit trains used on the Allegro service between Finland and Russia.
- F. None of above. chosen
Statements (33)
| Predicate | Object |
|---|---|
| instanceOf | frequent-flyer program ⓘ |
| airlineTypeServed | low-cost airline ⓘ |
| benefit |
earn points on Flynas flights
ⓘ
extra baggage allowance for higher tiers ⓘ partner offers and discounts ⓘ priority services for higher tiers ⓘ redeem points for Flynas flights ⓘ seat selection offers ⓘ |
| country | Saudi Arabia ⓘ |
| eligibleActivity |
Flynas ticket purchases
ⓘ
ancillary purchases on Flynas ⓘ spending with selected partners ⓘ |
| hasCurrency | nasmiles points ⓘ |
| industry |
aviation
ⓘ
travel loyalty ⓘ |
| loyaltyCurrency | points ⓘ |
| loyaltyScope | airline-only program ⓘ |
| membershipCost | free enrollment ⓘ |
| operatedBy | Flynas ⓘ |
| parentBrand | Flynas ⓘ |
| programType | revenue-based loyalty program ⓘ |
| regionServed |
Middle East
ⓘ
Saudi Arabia ⓘ |
| rewardType |
ancillary service rewards
ⓘ
flight rewards ⓘ points ⓘ |
| serviceChannel |
mobile access
ⓘ
online account management ⓘ |
| targetCustomer | Flynas passengers ⓘ |
| targetMarket |
domestic Saudi Arabia travelers
ⓘ
regional Middle East travelers ⓘ |
| websiteLanguage |
Arabic
ⓘ
English ⓘ |
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: nasmiles Description of subject: nasmiles is the frequent-flyer loyalty program of Saudi low-cost airline Flynas, offering members points and rewards for their travel and related spending.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.