Triple
T36169281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MIT bigdata Living Lab |
E1046101
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | data-driven 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: data-driven lab Context triple: [MIT bigdata Living Lab, instanceOf, data-driven lab]
-
A.
big data research lab
chosen
A big data research lab is a specialized facility where researchers develop and apply advanced methods, tools, and infrastructures to collect, store, process, and analyze massive, complex datasets for scientific and practical insights.
-
B.
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.
-
C.
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.
-
D.
scientific data product
A scientific data product is a processed, quality-controlled dataset or derived information package created from raw observations or experiments to support analysis, interpretation, and reuse in research.
-
E.
data scientist
A data scientist is a professional who uses statistical analysis, programming, and domain knowledge to extract insights and build predictive models from complex data.
- 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_69f76e396bc88190b99d221bff9be27a |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:08 p.m.