Triple
T37505991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gro Intelligence |
E932093
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | agricultural data analytics company |
C32995
|
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: agricultural data analytics company Context triple: [Gro Intelligence, instanceOf, agricultural data analytics company]
-
A.
agricultural business
An agricultural business is an enterprise that produces, processes, or distributes agricultural products—such as crops, livestock, or related goods and services—for commercial purposes within the food and fiber supply chain.
-
B.
agricultural biotechnology company
An agricultural biotechnology company is an organization that develops and applies biological technologies to improve crop yields, enhance resistance to pests and diseases, and increase the sustainability and efficiency of agricultural production.
-
C.
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.
-
D.
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.
-
E.
Data and AI company
chosen
A Data and AI company specializes in collecting, managing, and analyzing data to build intelligent systems and solutions that automate decisions, generate insights, and create predictive or generative capabilities for businesses.
- 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_69f76ec5268481909ea01c73aeeefd42 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:17 p.m.