Triple
T994547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gigafactory Berlin-Brandenburg |
E21466
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | automotive factory |
C4810
|
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: automotive factory Context triple: [Gigafactory Berlin-Brandenburg, instanceOf, automotive factory]
-
A.
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.
-
B.
automobile model
An automobile model is a specific version of a vehicle produced by a manufacturer, defined by a distinct combination of design, features, and specifications that differentiates it from other vehicles in the product lineup.
-
C.
manufacturing company
A manufacturing company is an organization that transforms raw materials or components into finished goods through industrial processes, machinery, and labor for sale to other businesses or consumers.
-
D.
full-size car
A full-size car is a large passenger vehicle designed to offer spacious seating, ample trunk capacity, and a comfortable ride, typically serving as a family or executive sedan.
-
E.
luxury vehicle brand
A luxury vehicle brand is a premium automotive marque that emphasizes superior craftsmanship, advanced technology, high performance, and elevated comfort and status to distinguish its vehicles from mainstream offerings.
- F. None of above. chosen
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_69a493c476b48190b41fc5e793171cc6 |
completed | March 1, 2026, 7:30 p.m. |
Created at: March 1, 2026, 7:41 p.m.