Triple
T27887842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UC Berkeley AMPLab |
E705277
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | big data research lab |
C53494
|
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: big data research lab Context triple: [UC Berkeley AMPLab, instanceOf, big data research lab]
-
A.
collaborative data science platform
A collaborative data science platform is an integrated environment where multiple users can jointly develop, run, and share data workflows, analyses, and models using shared datasets, tools, and computational resources.
-
B.
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.
-
C.
big data framework
A big data framework is a software platform that enables the distributed storage, processing, and analysis of large-scale, complex datasets across clusters of machines.
-
D.
data science institute
A data science institute is an organization dedicated to advancing the theory and practice of data-driven analysis through education, research, and collaboration across disciplines.
-
E.
computer science research center
A computer science research center is an institution dedicated to advancing knowledge and innovation in computing through focused research, collaboration, and dissemination of results across areas such as algorithms, systems, artificial intelligence, and human-computer interaction.
- F. None of above. chosen
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_69ef96b39c448190a9b3aa6672a5168f |
completed | April 27, 2026, 5:02 p.m. |
Created at: April 27, 2026, 6:34 p.m.