Triple
T25344069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conner Avenue Assembly |
E635496
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Chrysler manufacturing facility |
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: Chrysler manufacturing facility Context triple: [Conner Avenue Assembly, instanceOf, Chrysler manufacturing facility]
-
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.
Chrysler division
A Chrysler division is a major organizational unit within the Chrysler automotive company responsible for specific product lines, branding, and market segments.
-
C.
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.
-
D.
Toyota Motor Corporation facility
A Toyota Motor Corporation facility is any physical site owned or operated by Toyota where activities such as vehicle manufacturing, research and development, logistics, administration, sales, or service are conducted in support of the company’s automotive business.
-
E.
automotive factory
chosen
An automotive factory is a large-scale industrial facility where vehicles and their components are systematically designed, manufactured, assembled, and tested using specialized 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_69e75a99bd6481909476115b35b9a8e4 |
completed | April 21, 2026, 11:08 a.m. |
Created at: April 21, 2026, 1:32 p.m.