Triple
T18787663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MIT course 6.034 Artificial Intelligence |
E459419
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | MIT undergraduate course |
C41229
|
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: MIT undergraduate course Context triple: [MIT course 6.034 Artificial Intelligence, instanceOf, MIT undergraduate course]
-
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.
MIT professor
An MIT professor is a highly accomplished academic who teaches, mentors students, and conducts cutting-edge research at the Massachusetts Institute of Technology.
-
C.
undergraduate curriculum
An undergraduate curriculum is a structured program of courses, requirements, and learning experiences designed to provide foundational knowledge, skills, and competencies in one or more academic disciplines leading to a bachelor's degree.
-
D.
Dartmouth College program
A Dartmouth College program is an organized set of academic or co-curricular offerings, activities, and resources designed by Dartmouth to provide structured learning, development, or engagement opportunities for its students or participants.
-
E.
MIT organization
An MIT organization is a structured group within or affiliated with the Massachusetts Institute of Technology that coordinates people, resources, and activities to pursue specific academic, research, professional, or community-focused goals.
- 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
Created at: April 10, 2026, 11:53 a.m.