Triple
T22462487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pernod Ricard |
E555263
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | multinational beverage company |
C23099
|
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 beverage company Context triple: [Pernod Ricard, instanceOf, multinational beverage company]
-
A.
multinational beverage and brewing company
chosen
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.
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.
-
C.
soft drink brand
A soft drink brand is a marketed identity under which a company produces and sells flavored, non-alcoholic carbonated beverages distinguished by unique recipes, packaging, and positioning.
-
D.
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.
-
E.
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.
- 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
Created at: April 16, 2026, 8:48 p.m.