Triple
T31921723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Divya Pharmacy |
E814988
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Ayurvedic medicine company |
C11569
|
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: Ayurvedic medicine company Context triple: [Divya Pharmacy, instanceOf, Ayurvedic medicine company]
-
A.
Ayurveda research institute
An Ayurveda research institute is a specialized center dedicated to systematically studying, validating, and advancing traditional Ayurvedic knowledge and therapies through scientific research and interdisciplinary collaboration.
-
B.
nutritional supplement brand
A nutritional supplement brand is a company or label that develops, markets, and sells formulated products such as vitamins, minerals, and other dietary compounds intended to support specific health, wellness, or performance goals.
-
C.
Ayurvedic physician
An Ayurvedic physician is a healthcare practitioner who diagnoses and treats patients using the principles of traditional Indian medicine, emphasizing individualized balance of body, mind, and spirit through natural therapies, diet, and lifestyle.
-
D.
health and fitness company
A health and fitness company is an organization that provides products, services, and programs designed to improve individuals’ physical well-being, performance, and overall lifestyle through exercise, nutrition, and wellness support.
-
E.
consumer health company
chosen
A consumer health company develops, markets, and sells products and services that help individuals manage, improve, and maintain their personal health and well-being.
- 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_69f348f1df848190851bbfb988da3414 |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:03 a.m.