Triple
T33603004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mazda MX series |
E860770
|
entity |
| Predicate | includesPowertrainType |
—
|
GENERATED |
| Object | internal combustion engine |
—
|
UNRECOGNIZED GENERATED |
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesPowertrainType Context triple: [Mazda MX series, includesPowertrainType, internal combustion engine]
-
A.
winnerPowertrainType
Indicates the type of powertrain used by the entity that is identified as the winner in a given context or competition.
-
B.
powertrainComponentOf
Indicates that one entity is a component or subsystem that forms part of the powertrain of another entity.
-
C.
offersPowertrain
Indicates that one entity provides or makes available a specific powertrain to another entity or for a particular product.
-
D.
powertrainCategory
chosen
Indicates the classification of a vehicle’s powertrain based on how it delivers propulsion (e.g., internal combustion, hybrid, electric).
-
E.
primaryPowertrain
Indicates the main powertrain system that primarily provides propulsion or drive power for a vehicle or machine.
- 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_69f3497f35908190a2e9bbb9b96c7a3f |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:41 a.m.