Triple
T27791740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | eSpring |
E701098
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | water treatment brand |
C6459
|
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: water treatment brand Context triple: [eSpring, instanceOf, water treatment brand]
-
A.
water quality treatment facility
A water quality treatment facility is an engineered system that processes raw water through physical, chemical, and biological methods to remove contaminants and produce safe, clean water for human and environmental use.
-
B.
water park brand
A water park brand is a distinctive identity that encompasses the visual style, messaging, and guest experience strategy used to differentiate a water park and build emotional connection with its target audience.
-
C.
water management company
A water management company is an organization that plans, operates, and maintains systems for sourcing, treating, distributing, conserving, and monitoring water resources for communities, industries, or agriculture.
-
D.
battery brand
A battery brand is a named line of electrochemical energy storage products that distinguishes a manufacturer’s batteries in the marketplace by specific performance, quality, and design characteristics.
-
E.
water purification device
chosen
A water purification device is a system or apparatus designed to remove contaminants and impurities from water to make it safe and suitable for specific uses such as drinking, cooking, or industrial processes.
- 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_69ef6a50d8088190acbf3dfbb06d8091 |
completed | April 27, 2026, 1:53 p.m. |
Created at: April 27, 2026, 5:28 p.m.