Triple
T23845144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Automobile Engineering, Madras Institute of Technology |
E591098
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | automobile engineering department |
C12071
|
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: automobile engineering department Context triple: [Department of Automobile Engineering, Madras Institute of Technology, instanceOf, automobile engineering department]
-
A.
mechanical engineering department
chosen
A mechanical engineering department is an academic or organizational unit focused on the education, research, and application of principles related to the design, analysis, manufacturing, and maintenance of mechanical systems and devices.
-
B.
automobile design
Automobile design is the conceptual and aesthetic process of creating a vehicle’s overall form, function, and user experience, integrating styling, ergonomics, engineering constraints, and brand identity.
-
C.
automobile design study
An automobile design study is a conceptual exploration and evaluation of vehicle form, function, and technology to guide the development of future production models.
-
D.
automotive styling department
The automotive styling department is responsible for conceiving, developing, and refining the visual appearance and aesthetic design of vehicles, including their exterior and interior forms, colors, and materials.
-
E.
automotive architecture
Automotive architecture is the conceptual and structural design framework that defines how a vehicle’s key systems, components, and spatial layout are organized and integrated to meet performance, safety, and user experience goals.
- 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_69e25d1de32c8190a907afe9c3d6cd6d |
completed | April 17, 2026, 4:17 p.m. |
Created at: April 17, 2026, 8:09 p.m.