Triple
T20030970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LLM in Law, Technology, and Entrepreneurship |
E495122
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | LLM program |
C2392
|
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: LLM program Context triple: [LLM in Law, Technology, and Entrepreneurship, instanceOf, LLM program]
-
A.
MIT program
An MIT program is a structured course of study or research initiative offered by the Massachusetts Institute of Technology that combines rigorous academic instruction with hands-on, innovative problem-solving experiences.
-
B.
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.
-
C.
natural language processing research program
A natural language processing research program is an organized, systematic effort to develop and study computational methods that enable machines to understand, generate, and interact using human language.
-
D.
academic program
chosen
An academic program is a structured set of courses, requirements, and learning experiences offered by an educational institution that leads to a specific credential, such as a degree, diploma, or certificate.
-
E.
law school support program
A law school support program is a structured set of academic, professional, and wellness resources designed to help law students succeed in their studies, develop legal skills, and navigate the challenges of legal education.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
Created at: April 11, 2026, 3:36 p.m.