WFM (former)
E165113
WFM (former) was the stock ticker symbol under which Whole Foods Market was publicly traded before its acquisition by Amazon.
All labels observed (1)
| Label | Occurrences |
|---|---|
| WFM (former) canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1447264 — 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: WFM (former) Context triple: [Whole Foods Market, tickerSymbol, WFM (former)]
-
A.
WMBS (AM)
WMBS (AM) is a local radio station serving the Uniontown, Pennsylvania area with news, talk, and community-focused programming.
-
B.
WATH
WATH is a local radio station serving the Athens, Ohio area with news, talk, and music programming.
-
C.
WTN
WTN is the IATA airport code for RAF Waddington, a Royal Air Force station in Lincolnshire, England.
-
D.
WAFF
WAFF is the West Asian Football Federation, the regional governing body for football in West Asia under the Asian Football Confederation.
-
E.
WAFU
WAFU is the West African Football Union, a regional governing body for football in West Africa under the Confederation of African Football.
- 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: WFM (former) Target entity description: WFM (former) was the stock ticker symbol under which Whole Foods Market was publicly traded before its acquisition by Amazon.
-
A.
WMBS (AM)
WMBS (AM) is a local radio station serving the Uniontown, Pennsylvania area with news, talk, and community-focused programming.
-
B.
WATH
WATH is a local radio station serving the Athens, Ohio area with news, talk, and music programming.
-
C.
WTN
WTN is the IATA airport code for RAF Waddington, a Royal Air Force station in Lincolnshire, England.
-
D.
WAFF
WAFF is the West Asian Football Federation, the regional governing body for football in West Asia under the Asian Football Confederation.
-
E.
WAFU
WAFU is the West African Football Union, a regional governing body for football in West Africa under the Confederation of African Football.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf | stock ticker symbol ⓘ |
| acquiringCompany |
Amazon.com, Inc.
ⓘ
linked to:
Amazon
|
| acquiringCompanyTicker |
AMZN
ⓘ
linked to:
Amazon
|
| associatedBrand | Whole Foods Market ⓘ |
| associatedIndustry |
grocery retail
ⓘ
natural and organic foods retail ⓘ |
| associatedParentAfterAcquisition |
Amazon.com, Inc.
ⓘ
linked to:
Amazon
|
| associatedSector | consumer staples ⓘ |
| associatedSubsector | food retail ⓘ |
| countryOfUse |
United States
ⓘ
linked to:
United States of America
|
| exchangeCountry |
United States
ⓘ
linked to:
United States of America
|
| hadListingStatus | publicly traded before acquisition ⓘ |
| languageOfSymbol | Latin alphabet ⓘ |
| market | U.S. stock market ⓘ |
| notableEvent | retirement of ticker following Amazon acquisition of Whole Foods Market ⓘ |
| postAcquisitionStatus | no longer trades under this symbol ⓘ |
| reasonForDelisting | acquisition of Whole Foods Market by Amazon.com, Inc. ⓘ |
| refersTo | Whole Foods Market ⓘ |
| securityType | common stock ⓘ |
| status | delisted ⓘ |
| symbolLength | 3 characters ⓘ |
| tickerSymbolFor |
Whole Foods Market, Inc.
ⓘ
linked to:
Whole Foods Market
|
| usedOn |
NASDAQ
ⓘ
public equity markets in the United States ⓘ |
| wasPubliclyTradedCompanyTicker |
Whole Foods Market, Inc.
ⓘ
linked to:
Whole Foods Market
|
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: WFM (former) Description of subject: WFM (former) was the stock ticker symbol under which Whole Foods Market was publicly traded before its acquisition by Amazon.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.