Triple
T3539395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tesla Megacharger |
E74846
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | high-power DC fast charging system |
C12909
|
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: high-power DC fast charging system Context triple: [Tesla Megacharger, instanceOf, high-power DC fast charging system]
-
A.
DC fast charging connector
A DC fast charging connector is a high-power electrical interface that enables rapid direct-current charging of electric vehicles by linking them to compatible fast-charging stations.
-
B.
fast charging network
A fast charging network is an interconnected system of high-power electric vehicle charging stations designed to rapidly recharge EV batteries across wide geographic areas.
-
C.
lithium-ion battery system
A lithium-ion battery system is an integrated assembly of lithium-ion cells, control electronics, thermal management, and protective housing designed to store, manage, and deliver electrical energy safely and efficiently.
-
D.
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.
-
E.
battery electric vehicle architecture
Battery electric vehicle architecture is the integrated system design that defines how the battery pack, electric drivetrain, power electronics, control systems, and supporting components are configured and interact to deliver propulsion, safety, efficiency, and functionality in an all-electric vehicle.
- 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_69ad85d274cc8190ab59c97298a1cfbf |
completed | March 8, 2026, 2:21 p.m. |
Created at: March 8, 2026, 3:20 p.m.