Triple
T33982345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wonderful Company |
E871318
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | food and beverage conglomerate |
C38774
|
CONCEPT FINISHED |
How this triple was built (1 step)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: food and beverage conglomerate Context triple: [The Wonderful Company, instanceOf, food and beverage conglomerate]
-
A.
multinational food company
A multinational food company is a large-scale enterprise that produces, markets, and distributes food and beverage products across multiple countries, often adapting offerings to local tastes while leveraging global supply chains and brand recognition.
-
B.
multinational beverage and brewing company
A multinational beverage and brewing company is a global enterprise that produces, markets, and distributes a wide range of alcoholic and non-alcoholic drinks across multiple countries and regions.
-
C.
beverage bottling company
A beverage bottling company is an organization that fills, packages, and distributes drinks—such as water, soft drinks, juices, or alcoholic beverages—into containers for sale to retailers and consumers.
-
D.
snack food company
A snack food company is a business that develops, produces, markets, and distributes ready-to-eat snack products such as chips, crackers, nuts, and bars to consumers through various retail and online channels.
-
E.
part of food and beverage industry
chosen
A business entity that participates in the production, distribution, or sale of food and drinks within the broader food and beverage industry.
- F. None of above.
Provenance (1 batch)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f3499e964c8190b674b03f6f791b4b |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:50 a.m.