Triple
T3100355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tesla Design Studio, Los Angeles area |
E64700
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Tesla facility |
C5180
|
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: Tesla facility Context triple: [Tesla Design Studio, Los Angeles area, instanceOf, Tesla facility]
-
A.
Tesla factory
chosen
A Tesla factory is a large-scale, highly automated manufacturing facility where Tesla designs, produces, and assembles electric vehicles and related components such as batteries and powertrains.
-
B.
electric vehicle charging network
An electric vehicle charging network is a coordinated system of charging stations, infrastructure, and management services that supplies power to electric vehicles across multiple locations.
-
C.
MIT facility
An MIT facility is a physical or virtual resource, such as a building, laboratory, or specialized space, owned or operated by the Massachusetts Institute of Technology to support its educational, research, and community activities.
-
D.
battery manufacturing plant
A battery manufacturing plant is an industrial facility where raw materials are processed and assembled into finished batteries through a series of automated and manual production, testing, and quality control operations.
-
E.
General Motors factory
A General Motors factory is a large-scale automotive manufacturing facility where GM designs, assembles, and tests vehicles and related components using industrial machinery, robotics, and human labor.
- 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_69ad857dc98481909e585dc3372e3ed5 |
completed | March 8, 2026, 2:19 p.m. |
Created at: March 8, 2026, 3:03 p.m.