Triple
T28545523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ineos |
E722424
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | multinational chemicals company |
C23387
|
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 chemicals company Context triple: [Ineos, instanceOf, multinational chemicals company]
-
A.
multinational chemical company
chosen
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.
-
B.
multinational utility company
A multinational utility company is a large-scale enterprise that provides essential services such as electricity, gas, water, or telecommunications across multiple countries, operating under diverse regulatory, cultural, and market conditions.
-
C.
multinational commodity trading and mining company
A multinational commodity trading and mining company is a global enterprise that extracts raw materials from diverse geographic locations and markets, transports, and trades them across international supply chains to industrial and financial customers.
-
D.
multinational technology conglomerate
A multinational technology conglomerate is a large corporation that operates across multiple countries and industries, owning and managing diverse technology-focused businesses under a unified corporate structure.
-
E.
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.
- 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_69f01a5e42348190b1ffbca26e739c84 |
completed | April 28, 2026, 2:24 a.m. |
Created at: April 28, 2026, 3:38 a.m.