Save Mart Supermarkets

E128240

privately held company supermarket chain

Save Mart Supermarkets is a regional supermarket chain based in California, known for operating grocery stores under several banners throughout the state and parts of Nevada.

Try in SPARQL Jump to: Surface forms Statements Referenced by

All labels observed (4)

Label	Occurrences
Save Mart	2
Save Mart Supermarkets canonical	2
Save Mart Pharmacy	1
Save Mart stores	1

Statements (46)

Predicate	Object
instanceOf	privately held company ⓘ supermarket chain ⓘ
acquiredBy	Kingswood Capital Management ⓘ
acquisitionDate	2022 ⓘ
country	United States of America ⓘ surface form: United States
focusesOn	regional supermarket operations ⓘ
foundedBy	Michael Piccinini ⓘ Nicholas Tocco ⓘ
hasDivision	FoodMaxx stores ⓘ Lucky stores ⓘ Save Mart Supermarkets self-linksurface differs ⓘ surface form: Save Mart stores
hasKeyRegion	Central California ⓘ Northern California ⓘ Northern Nevada ⓘ
hasNumberOfEmployees	over 10,000 ⓘ
hasParentCompany	Kingswood Capital Management ⓘ
hasService	grocery delivery ⓘ in-store pickup ⓘ online grocery ordering ⓘ
hasSlogan	Fresh. Local. For You. ⓘ
headquartersLocation	Modesto ⓘ surface form: Modesto, California
inception	1952 ⓘ
industry	retail ⓘ supermarkets ⓘ
locationFounded	Modesto ⓘ surface form: Modesto, California
offersLoyaltyProgram	Yes ⓘ
operatesIn	California, United States ⓘ surface form: California Central Valley ⓘ Nevada ⓘ Northern Nevada ⓘ San Francisco Bay Area ⓘ
ownsBrand	FoodMaxx ⓘ Lucky ⓘ Maxx Value Foods ⓘ Save Mart Supermarkets self-linksurface differs ⓘ surface form: Save Mart Save Mart Supermarkets self-linksurface differs ⓘ surface form: Save Mart Pharmacy
productCategory	bakery items ⓘ deli items ⓘ fresh produce ⓘ groceries ⓘ household goods ⓘ meat ⓘ pharmacy services ⓘ
state	California, United States ⓘ surface form: California
tradeName	Save Mart Supermarkets self-linksurface differs ⓘ surface form: Save Mart
website	https://www.savemart.com/ ⓘ

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: Save Mart Supermarkets
Description of subject: Save Mart Supermarkets is a regional supermarket chain based in California, known for operating grocery stores under several banners throughout the state and parts of Nevada.

Referenced by (6)

Full triples — surface form annotated when it differs from this entity's canonical label.

Save Mart Center → namedAfter → Save Mart Supermarkets ⓘ

Save Mart Center → sponsor → Save Mart Supermarkets ⓘ

Save Mart Supermarkets → tradeName → Save Mart Supermarkets self-linksurface differs ⓘ

this entity surface form: Save Mart

Save Mart Supermarkets → ownsBrand → Save Mart Supermarkets self-linksurface differs ⓘ

this entity surface form: Save Mart

Save Mart Supermarkets → ownsBrand → Save Mart Supermarkets self-linksurface differs ⓘ

this entity surface form: Save Mart Pharmacy

Save Mart Supermarkets → hasDivision → Save Mart Supermarkets self-linksurface differs ⓘ

this entity surface form: Save Mart stores