Eat Out to Help Out scheme
E145328
The Eat Out to Help Out scheme was a UK government initiative during the COVID-19 pandemic that offered diners discounted meals in restaurants to stimulate the struggling hospitality sector.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Eat Out to Help Out scheme canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T1265649 — 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.
Target entity: Eat Out to Help Out scheme Context triple: [Rishi Sunak, notablePolicy, Eat Out to Help Out scheme]
-
A.
Make Do and Mend campaign
The Make Do and Mend campaign was a British World War II initiative encouraging civilians, especially women, to repair, reuse, and creatively adapt clothing and household items to cope with rationing and material shortages.
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B.
Loaves and Fishes
Loaves and Fishes is Dorothy Day’s autobiographical account of her life, faith, and the founding and work of the Catholic Worker movement among the poor.
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C.
Out to Lunch Festival
Out to Lunch Festival is an annual arts and culture festival in Belfast’s Cathedral Quarter, known for its daytime programme of music, comedy, and spoken word events.
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D.
The Big Jubilee Lunch
The Big Jubilee Lunch was a nationwide community event in the UK where people gathered for street parties and shared meals to celebrate Queen Elizabeth II’s Platinum Jubilee in 2022.
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E.
Help the Poor
"Help the Poor" is a blues song popularized by B.B. King, featured on his acclaimed live album *Live at the Regal*.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Eat Out to Help Out scheme Target entity description: The Eat Out to Help Out scheme was a UK government initiative during the COVID-19 pandemic that offered diners discounted meals in restaurants to stimulate the struggling hospitality sector.
-
A.
Make Do and Mend campaign
The Make Do and Mend campaign was a British World War II initiative encouraging civilians, especially women, to repair, reuse, and creatively adapt clothing and household items to cope with rationing and material shortages.
-
B.
Loaves and Fishes
Loaves and Fishes is Dorothy Day’s autobiographical account of her life, faith, and the founding and work of the Catholic Worker movement among the poor.
-
C.
Out to Lunch Festival
Out to Lunch Festival is an annual arts and culture festival in Belfast’s Cathedral Quarter, known for its daytime programme of music, comedy, and spoken word events.
-
D.
The Big Jubilee Lunch
The Big Jubilee Lunch was a nationwide community event in the UK where people gathered for street parties and shared meals to celebrate Queen Elizabeth II’s Platinum Jubilee in 2022.
-
E.
Help the Poor
"Help the Poor" is a blues song popularized by B.B. King, featured on his acclaimed live album *Live at the Regal*.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
COVID-19 pandemic response measure
ⓘ
economic stimulus program ⓘ government scheme ⓘ |
| aimedTo |
encourage people to dine out
ⓘ
protect jobs in hospitality industry ⓘ stimulate hospitality sector ⓘ support restaurants and cafes ⓘ |
| announcedBy | Rishi Sunak ⓘ |
| announcementDate | 2020-07-08 ⓘ |
| appliedTo |
food
ⓘ
non-alcoholic drinks ⓘ |
| beneficiary |
diners
ⓘ
hospitality businesses ⓘ |
| context |
COVID-19 pandemic
ⓘ
surface form:
COVID-19 pandemic in the United Kingdom
|
| country | United Kingdom ⓘ |
| criticizedBy |
public health experts
ⓘ
some epidemiologists ⓘ |
| criticizedFor | potentially increasing COVID-19 transmission ⓘ |
| currency |
Pound sterling
ⓘ
surface form:
GBP
|
| daysOfWeek |
Monday
ⓘ
Tuesday ⓘ Wednesday ⓘ |
| discountRate | 50 percent ⓘ |
| discountType | meal discount ⓘ |
| eligibility |
participating cafes
ⓘ
participating pubs serving food ⓘ participating restaurants ⓘ |
| endDate | 2020-08-31 ⓘ |
| evaluatedBy |
UK government
ⓘ
academic researchers ⓘ |
| excluded | alcoholic drinks ⓘ |
| fundedBy | UK government ⓘ |
| hasEffect |
boosted hospitality revenues in August 2020
ⓘ
increased restaurant bookings ⓘ |
| implementedBy |
UK government
ⓘ
surface form:
Government of the United Kingdom
HM Treasury ⓘ |
| legalForm | temporary scheme ⓘ |
| maximumDiscountPerPerson | 10 GBP ⓘ |
| officeHeldByAnnouncer | Chancellor of the Exchequer ⓘ |
| partOf |
Coronavirus Job Retention Scheme
ⓘ
surface form:
UK economic response to the COVID-19 pandemic
|
| policyArea |
fiscal policy
ⓘ
public health and economic policy trade-off ⓘ |
| reimbursementMethod | government reimbursed participating businesses ⓘ |
| sectorTargeted |
cafes and pubs
ⓘ
hospitality industry ⓘ restaurant industry ⓘ |
| startDate | 2020-08-03 ⓘ |
| timePeriod | August 2020 ⓘ |
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.
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.
Subject: Eat Out to Help Out scheme Description of subject: The Eat Out to Help Out scheme was a UK government initiative during the COVID-19 pandemic that offered diners discounted meals in restaurants to stimulate the struggling hospitality sector.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.