Triple
T5102389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giga Shanghai |
E115010
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Tesla Gigafactory |
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 Gigafactory Context triple: [Giga Shanghai, instanceOf, Tesla Gigafactory]
-
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.
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.
-
C.
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.
-
D.
automobile factory
An automobile factory is a large-scale industrial facility where raw materials and components are systematically assembled, tested, and finished into complete motor vehicles using coordinated machinery, labor, and production processes.
-
E.
moonshot factory
A moonshot factory is an organization or initiative dedicated to systematically generating, prototyping, and scaling radical, high-risk innovations aimed at solving massive global problems.
- 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_69bd4440b3348190be1251fd8b7951f1 |
completed | March 20, 2026, 12:57 p.m. |
Created at: March 20, 2026, 1:41 p.m.