Triple
T15585330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SeeTree |
E374604
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | agricultural technology company |
C21150
|
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 technology company Context triple: [SeeTree, instanceOf, agricultural technology company]
-
A.
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.
-
B.
agricultural business
chosen
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.
-
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.
agricultural innovation
Agricultural innovation is the development and application of new ideas, technologies, and practices that improve the efficiency, sustainability, and productivity of farming and food systems.
-
E.
Internet of Things company
An Internet of Things company designs, develops, and manages connected devices and platforms that collect, exchange, and analyze data over networks to deliver automated, intelligent services.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
Created at: April 10, 2026, 4:11 a.m.