Triple
T2976211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LAV-C2 |
E80402
|
entity |
| Predicate | powertrainLayout |
P19520
|
FINISHED |
| Object | rear-engine |
—
|
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: rear-engine | Statement: [LAV-C2, powertrainLayout, rear-engine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: powertrainLayout Context triple: [LAV-C2, powertrainLayout, rear-engine]
-
A.
powertrainLocation
Indicates the physical placement or mounting position of a vehicle’s powertrain relative to the rest of the vehicle.
-
B.
powertrainComponentOf
Indicates that one entity is a component or subsystem that forms part of the powertrain of another entity.
-
C.
propulsionLayout
chosen
Indicates how propulsion components are arranged or configured relative to each other within a system.
-
D.
vehicleLayout
Indicates how the components or seating within a vehicle are arranged or configured relative to each other.
-
E.
winnerPowertrainType
Indicates the type of powertrain used by the entity that is identified as the winner in a given context or competition.
- 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_69ad8b15f6ac8190be5fd16a33edcb4f |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad998ad5308190a012ec4940eb46cb |
completed | March 8, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69ad96105a708190a9ec4838cbcb1207 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:58 p.m.