Triple
T19772014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NETL: A System for Representing and Using Real-World Knowledge |
E474909
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | artificial intelligence research work |
C35973
|
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: artificial intelligence research work Context triple: [NETL: A System for Representing and Using Real-World Knowledge, instanceOf, artificial intelligence research work]
-
A.
artificial intelligence
Artificial intelligence is a field of computer science focused on creating systems that can perform tasks that typically require human intelligence, such as learning, reasoning, perception, and decision-making.
-
B.
AI research tool
An AI research tool is a software system that leverages artificial intelligence techniques to assist in discovering, organizing, analyzing, and generating scientific knowledge and insights.
-
C.
computer vision research work
A computer vision research work is a scholarly study that develops, analyzes, or evaluates algorithms and systems enabling machines to interpret and understand visual information from images or videos.
-
D.
machine learning research institute
A machine learning research institute is an organization dedicated to advancing the theory, algorithms, and applications of machine learning through systematic research, experimentation, and collaboration.
-
E.
research work
chosen
A research work is a systematic, methodologically grounded investigation conducted to generate new knowledge, validate existing theories, or solve specific problems, typically documented in a structured scholarly format.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
Created at: April 10, 2026, 1:48 p.m.