Triple
T23282588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Universal Technical Institute |
E588906
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | for-profit technical education provider |
C3275
|
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: for-profit technical education provider Context triple: [Universal Technical Institute, instanceOf, for-profit technical education provider]
-
A.
for-profit education company
chosen
A for-profit education company is a privately owned organization that delivers educational programs or services with the primary goal of generating financial profit.
-
B.
educational technology organization
An educational technology organization is an entity that designs, develops, and implements digital tools, platforms, and services to enhance teaching, learning, and educational outcomes.
-
C.
further education institution
A further education institution is an organization that provides post-compulsory, non-university education and training, such as vocational courses, professional qualifications, and adult learning programs.
-
D.
labor education institution
A labor education institution is an organization dedicated to teaching workers and labor representatives about labor rights, workplace skills, collective bargaining, and related social and economic issues.
-
E.
commercial school
A commercial school is an educational institution that provides practical training in business-related subjects such as accounting, marketing, office administration, and commerce to prepare students for careers in the commercial sector.
- 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
Created at: April 17, 2026, 4:58 p.m.