Triple
T11205375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Master of Science in Computational Analysis and Public Policy |
E265146
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | data science program |
C29355
|
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 program Context triple: [Master of Science in Computational Analysis and Public Policy, instanceOf, data science program]
-
A.
data-driven government program
A data-driven government program is an initiative that systematically collects, analyzes, and applies data to design, implement, and continuously improve public policies and services for better outcomes and accountability.
-
B.
data literacy program
A data literacy program is an organized set of learning activities and resources designed to help individuals understand, interpret, and effectively use data for informed decision-making.
-
C.
bioinformatics program
A bioinformatics program is a software application designed to analyze, interpret, and manage biological data, such as DNA, RNA, and protein sequences, using computational and statistical methods.
-
D.
software development program
A software development program is an organized set of tools, processes, and educational or operational components designed to plan, create, test, and maintain software applications efficiently and reliably.
-
E.
software engineering program
A software engineering program is a structured course of study that teaches the principles, methods, and tools for designing, developing, testing, and maintaining reliable and efficient software systems.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
Created at: April 8, 2026, 9:30 p.m.