Triple
T2836319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MS in Machine Learning |
E62360
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | master’s program |
C506
|
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: master’s program Context triple: [MS in Machine Learning, instanceOf, master’s program]
-
A.
graduate program
chosen
A graduate program is an advanced course of study beyond the bachelor’s degree that provides specialized education, training, and research opportunities leading to a master’s or doctoral degree or professional qualification.
-
B.
academic program
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.
-
C.
graduate degree
A graduate degree is an advanced academic qualification pursued after completing a bachelor's degree, focusing on specialized knowledge and research or professional skills in a particular field.
-
D.
interdisciplinary program
An interdisciplinary program is an academic course of study that integrates methods, perspectives, and content from multiple disciplines to address complex questions or problems that cannot be fully understood through a single field alone.
-
E.
fellowship program
A fellowship program is a structured, time-bound opportunity that provides individuals with financial support, mentorship, and professional development to advance their skills, research, or leadership in a specific field.
- 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
Created at: March 6, 2026, 10:01 p.m.