Lucky stores
E547827
Lucky stores is a regional supermarket chain in the western United States, operating as a division of Save Mart Supermarkets and offering a full range of grocery and household products.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Lucky stores canonical | 1 |
Statements (29)
| Predicate | Object |
|---|---|
| instanceOf |
retail company division
ⓘ
supermarket chain ⓘ |
| brandOf | Lucky NERFINISHED ⓘ |
| businessModel | Brick-and-mortar retail ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| distributionChannel | Physical stores ⓘ |
| divisionOf | Save Mart Supermarkets NERFINISHED ⓘ |
| hasRetailFormat | Supermarket ⓘ |
| industry |
Retail
ⓘ
Supermarkets ⓘ |
| offers |
Bakery items
ⓘ
Beverages ⓘ Dairy products ⓘ Fresh produce ⓘ Frozen foods ⓘ Health and beauty products ⓘ Household cleaning products ⓘ Meat and seafood ⓘ Packaged foods ⓘ Personal care products ⓘ Pet supplies ⓘ Snacks ⓘ |
| operatesInRegion | Western United States NERFINISHED ⓘ |
| parentOrganization | Save Mart Supermarkets NERFINISHED ⓘ |
| productCategory |
Groceries
ⓘ
Household products ⓘ |
| serviceType |
Food retailing
ⓘ
Supermarket services ⓘ |
| targetMarket | Local communities in the western United States ⓘ |
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: Lucky stores Description of subject: Lucky stores is a regional supermarket chain in the western United States, operating as a division of Save Mart Supermarkets and offering a full range of grocery and household products.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.