Coffee
E683847
Coffee is a popular brewed beverage made from roasted coffee beans, known for its stimulating caffeine content and rich, diverse flavors.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Coffee canonical | 5 |
How this entity was disambiguated
This entity first appeared as the object of triple T7727016 — 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: Coffee Context triple: [Claire Coffee, familyName, Coffee]
-
A.
Coffee
"Coffee" is a song by the American singer-songwriter Miguel, known for its smooth blend of R&B and sensual, atmospheric production.
-
B.
Caffe
Caffe is an open-source deep learning framework known for its speed and modular design, widely used in computer vision research and applications.
-
C.
Caffeine
"Caffeine" is a young adult novel by Sharon Robinson that explores themes of adolescence, family, and personal struggle.
-
D.
Chai
Chai is a popular JavaScript assertion library commonly used in testing frameworks like Mocha to provide expressive, readable test assertions.
-
E.
Café au Lait
Café au Lait is one of the short, conversational vignettes in Jim Jarmusch’s film "Coffee and Cigarettes," featuring characters chatting over coffee in a minimalist, black-and-white setting.
- 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: Coffee Target entity description: Coffee is a popular brewed beverage made from roasted coffee beans, known for its stimulating caffeine content and rich, diverse flavors.
-
A.
Coffee
"Coffee" is a song by the American singer-songwriter Miguel, known for its smooth blend of R&B and sensual, atmospheric production.
-
B.
Caffe
Caffe is an open-source deep learning framework known for its speed and modular design, widely used in computer vision research and applications.
-
C.
Caffeine
"Caffeine" is a young adult novel by Sharon Robinson that explores themes of adolescence, family, and personal struggle.
-
D.
Chai
Chai is a popular JavaScript assertion library commonly used in testing frameworks like Mocha to provide expressive, readable test assertions.
-
E.
Café au Lait
Café au Lait is one of the short, conversational vignettes in Jim Jarmusch’s film "Coffee and Cigarettes," featuring characters chatting over coffee in a minimalist, black-and-white setting.
- F. None of above. chosen
Statements (84)
| Predicate | Object |
|---|---|
| instanceOf |
Beverage
ⓘ
Brewed drink ⓘ |
| affects | Central nervous system ⓘ |
| averageCaffeineContent | About 95 milligrams per 240 milliliters of brewed coffee ⓘ |
| canBeDecaffeinated | True ⓘ |
| canBeServed | Iced ⓘ |
| canCause |
Improved concentration
ⓘ
Increased alertness ⓘ Increased heart rate ⓘ Insomnia at high intake ⓘ |
| contains |
Antioxidants
ⓘ
Caffeine ⓘ Chlorogenic acids ⓘ Diterpenes ⓘ Trigonelline ⓘ |
| decaffeinationMethod |
Solvent-based extraction
ⓘ
Supercritical CO2 extraction ⓘ Swiss Water Process ⓘ |
| hasAroma |
Caramel-like
ⓘ
Earthy ⓘ Roasted ⓘ |
| hasCulturalOrigin |
Ethiopian highlands
ⓘ
linked to:
Ethiopian Highlands
|
| hasFlavorProfile |
Acidic
ⓘ
Bitter ⓘ Chocolatey ⓘ Fruity ⓘ Nutty ⓘ |
| hasGlobalRole | One of the most widely consumed beverages in the world ⓘ |
| hasGrindSize |
Coarse grind
ⓘ
Fine grind ⓘ Medium grind ⓘ |
| hasIngredient | Water ⓘ |
| hasPhysiologicalEffect | Stimulant ⓘ |
| hasPreparationMethod |
Cold brew extraction
ⓘ
Drip brewing ⓘ Espresso brewing ⓘ French press brewing ⓘ Moka pot brewing ⓘ Pour-over brewing ⓘ |
| hasRoastLevel |
Dark roast
ⓘ
Light roast ⓘ Medium roast ⓘ |
| hasServingStyle |
Affogato
ⓘ
Americano ⓘ Black coffee ⓘ Cappuccino ⓘ Espresso ⓘ Flat white ⓘ Latte ⓘ Macchiato ⓘ Mocha ⓘ |
| hasTypicalServingSize | About 240 milliliters for brewed coffee ⓘ |
| historicallySpreadThrough | Arab world ⓘ |
| historicallySpreadTo |
Americas
ⓘ
Europe ⓘ |
| isAssociatedWith |
Breakfast beverage
ⓘ
Coffeehouse culture ⓘ Workplace consumption ⓘ |
| isCultivatedIn |
Brazil
ⓘ
Colombia ⓘ Costa Rica ⓘ Ethiopia ⓘ Guatemala ⓘ Honduras ⓘ Indonesia ⓘ Kenya ⓘ Vietnam ⓘ
linked to:
Viet Nam
Yemen ⓘ |
| isOftenConsumedAt |
Cafés
ⓘ
Homes ⓘ Offices ⓘ |
| isProducedFrom |
Coffea arabica
ⓘ
linked to:
Arabica
Coffea canephora ⓘ
linked to:
Robusta coffee
|
| isRegulatedAs | Food product ⓘ |
| isTradedAs | Agricultural commodity ⓘ |
| madeFrom | Roasted coffee beans ⓘ |
| mainSpeciesUsed |
Arabica coffee
ⓘ
Robusta coffee ⓘ |
| mayContain |
Cream
ⓘ
Flavoring syrups ⓘ Milk ⓘ Sugar ⓘ |
| primaryActiveCompound | Caffeine ⓘ |
| typicallyServed | Hot ⓘ |
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: Coffee Description of subject: Coffee is a popular brewed beverage made from roasted coffee beans, known for its stimulating caffeine content and rich, diverse flavors.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.