Triple
T30031924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Mills |
E763044
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | multinational food company |
C56660
|
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: multinational food company Context triple: [General Mills, instanceOf, multinational food company]
-
A.
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.
-
B.
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.
-
C.
multinational retail corporation
A multinational retail corporation is a large company that operates chains of stores or online retail platforms in multiple countries, selling a wide range of consumer goods and services under a unified brand and management structure.
-
D.
multinational chemical company
A multinational chemical company is a large, globally operating enterprise that researches, manufactures, and distributes a wide range of chemical products and materials across multiple industries and countries.
-
E.
breakfast cereal manufacturer
A breakfast cereal manufacturer is a company that designs, produces, and packages grain-based breakfast cereals for distribution and sale to retailers and consumers.
- F. None of above. chosen
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_69f2246fb2b88190acff36bf7975c8f0 |
completed | April 29, 2026, 3:32 p.m. |
Created at: April 29, 2026, 6:50 p.m.