Triple
T23383957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Impossible Foods |
E593825
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | plant-based meat company |
C46339
|
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: plant-based meat company Context triple: [Impossible Foods, instanceOf, plant-based meat company]
-
A.
plant-based food brand
chosen
A plant-based food brand is a company that develops, markets, and sells food products made entirely or primarily from plant-derived ingredients, emphasizing sustainability, health, and ethical consumption.
-
B.
controlled-environment agriculture company
A controlled-environment agriculture company designs, builds, and operates highly managed indoor or enclosed growing systems that optimize climate, lighting, water, and nutrients to produce consistent, high-quality crops year-round.
-
C.
frozen food manufacturer
A frozen food manufacturer is a company that produces, processes, packages, and distributes food products preserved by freezing to extend shelf life and maintain quality for retail or commercial use.
-
D.
indoor agriculture company
An indoor agriculture company is a business that grows crops within controlled-environment facilities using technologies like artificial lighting, climate control, and vertical farming to produce consistent, high-quality food year-round.
-
E.
pet food manufacturer
A pet food manufacturer is a business that formulates, produces, and packages nutritional food products specifically designed for consumption by domestic animals.
- 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_69e25d2754fc819085deea939bde60ab |
completed | April 17, 2026, 4:17 p.m. |
Created at: April 17, 2026, 5:34 p.m.