Triple
T15312983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aristo project |
E366085
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | AI research project |
C120
|
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: AI research project Context triple: [Aristo project, instanceOf, AI research project]
-
A.
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.
-
B.
research project
chosen
A research project is a structured, systematic investigation designed to answer specific questions or test hypotheses by collecting, analyzing, and interpreting data within a defined scope and timeframe.
-
C.
intelligence research agency
An intelligence research agency is an organization dedicated to systematically collecting, analyzing, and interpreting information to produce actionable insights for strategic, security, or policy decision-making.
-
D.
computer vision research laboratory
A computer vision research laboratory is a specialized facility where researchers develop, test, and evaluate algorithms and systems that enable machines to interpret and understand visual information from the world.
-
E.
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.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
Created at: April 10, 2026, 3:16 a.m.