Triple
T20130120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Industrial Training Institute Sehore |
E490866
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | industrial training institute |
C31976
|
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: industrial training institute Context triple: [Industrial Training Institute Sehore, instanceOf, industrial training institute]
-
A.
railway training institute
A railway training institute is a specialized educational facility that provides theoretical and practical instruction to develop the skills and competencies required for various professions within the railway industry.
-
B.
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.
-
C.
teacher training institute
A teacher training institute is an educational organization dedicated to preparing, developing, and certifying individuals for effective professional teaching through theoretical instruction and practical classroom experience.
-
D.
training school
chosen
A training school is an educational institution or program that provides specialized instruction and practical skills development in a particular field or profession.
-
E.
civil service training institution
A civil service training institution is an organization dedicated to developing the knowledge, skills, and ethical standards of current and prospective public sector employees through structured education and professional development programs.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
Created at: April 11, 2026, 11:31 p.m.