Triple
T28272139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liebig Extract of Meat Company plant |
E712886
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | food-processing facility |
C17544
|
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-processing facility Context triple: [Liebig Extract of Meat Company plant, instanceOf, food-processing facility]
-
A.
production facility
chosen
A production facility is a physical site equipped with machinery, resources, and personnel dedicated to manufacturing goods or processing materials at scale.
-
B.
oil processing facility
An oil processing facility is an industrial complex where crude oil is received, separated, treated, and refined into usable products such as fuels, lubricants, and feedstocks under controlled conditions.
-
C.
confectionery factory
A confectionery factory is a facility where raw ingredients are processed, cooked, and assembled using specialized equipment to mass-produce sweets such as chocolates, candies, and other sugary treats.
-
D.
cheese-aging facility
A cheese-aging facility is a controlled environment where cheeses are stored and matured under specific temperature, humidity, and airflow conditions to develop their desired flavors, textures, and aromas.
-
E.
food technology company
A food technology company is an organization that uses scientific research, engineering, and innovative processes to develop, improve, or produce food products and related systems.
- 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_69efb5216c6881908020dce4aea65381 |
completed | April 27, 2026, 7:12 p.m. |
Created at: April 27, 2026, 11:18 p.m.