Triple
T15833469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucid Group |
E383926
|
entity |
| Predicate | vehicleDrivetrain |
P68759
|
FINISHED |
| Object | all-electric drivetrain |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: all-electric drivetrain | Statement: [Lucid Group, vehicleDrivetrain, all-electric drivetrain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vehicleDrivetrain Context triple: [Lucid Group, vehicleDrivetrain, all-electric drivetrain]
-
A.
drivetrainFeature
chosen
Indicates that an entity has a specific characteristic, component, or capability related to its drivetrain system.
-
B.
drivetrainRole
Indicates the functional role or position an entity has within a drivetrain system (e.g., input, transmission, or output component).
-
C.
powertrainComponentOf
Indicates that one entity is a component or subsystem that forms part of the powertrain of another entity.
-
D.
drivetrainConfigurationProduced
Indicates that a particular drivetrain configuration has been produced or manufactured.
-
E.
powertrainLocation
Indicates the physical placement or mounting position of a vehicle’s powertrain relative to the rest of the vehicle.
- F. None of above.
Provenance (3 batches)
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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e11e6670d48190a456581dd951f168 |
completed | April 16, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69e005418f588190824d91ff7974dada |
completed | April 15, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:49 a.m.