Triple
T13999476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Bosch Centre for Data Science and Artificial Intelligence |
E336784
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | data science research centre |
C30442
|
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 science research centre Context triple: [Robert Bosch Centre for Data Science and Artificial Intelligence, instanceOf, data science research centre]
-
A.
data science institute
chosen
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.
-
B.
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.
-
C.
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.
-
D.
research and engagement centre
A research and engagement centre is an institution that conducts systematic inquiry into specific fields while actively collaborating with and involving stakeholders or communities to apply, share, and co-create knowledge.
-
E.
data science program
A data science program is an organized curriculum or course of study that teaches methods, tools, and theories for extracting insights and knowledge from 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
Created at: April 9, 2026, 10:19 p.m.