Triple
T123869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Institute Professor at MIT |
E2504
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | position at Massachusetts Institute of Technology |
C1010
|
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: position at Massachusetts Institute of Technology Context triple: [Institute Professor at MIT, instanceOf, position at Massachusetts Institute of Technology]
-
A.
private university
A private university is a higher education institution that is independently funded and operated, primarily through tuition, donations, and endowments rather than direct government support.
-
B.
university collaboration
University collaboration is the structured partnership between universities and external entities (such as other academic institutions, industry, government, or communities) to jointly pursue research, education, innovation, and resource sharing.
-
C.
sea-grant university
A sea-grant university is a higher education institution designated by the U.S. government to receive federal support for research, education, and outreach related to coastal, marine, and Great Lakes resources.
-
D.
research and development organization
A research and development organization is an entity dedicated to systematically investigating ideas and technologies to create new knowledge, products, or processes and improve existing ones.
-
E.
university faculty
chosen
A university faculty is a group of academic staff and scholars within a higher education institution responsible for teaching, research, and academic governance in specific disciplines or departments.
- 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_69a251b54ea88190b18281669f59b4c0 |
completed | Feb. 28, 2026, 2:23 a.m. |
Created at: Feb. 28, 2026, 2:27 a.m.