Triple
T24396723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chevrolet LS trim family |
E615045
|
entity |
| Predicate | typicalPowertrain |
P45712
|
FINISHED |
| Object | base engine option for each model |
—
|
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: base engine option for each model | Statement: [Chevrolet LS trim family, typicalPowertrain, base engine option for each model]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPowertrain Context triple: [Chevrolet LS trim family, typicalPowertrain, base engine option for each model]
-
A.
primaryPowertrain
chosen
Indicates the main powertrain system that primarily provides propulsion or drive power for a vehicle or machine.
-
B.
powertrainComponentOf
Indicates that one entity is a component or subsystem that forms part of the powertrain of another entity.
-
C.
powertrainCategory
Indicates the classification of a vehicle’s powertrain based on how it delivers propulsion (e.g., internal combustion, hybrid, electric).
-
D.
winnerPowertrainType
Indicates the type of powertrain used by the entity that is identified as the winner in a given context or competition.
-
E.
powertrainProduction
Indicates a relationship where an entity is involved in the manufacturing or assembly of a vehicle’s powertrain components.
- 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_69e2d7e509b88190a53155d4f3de45ce |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f294d79dac8190bb79519f4aed91f2 |
completed | April 29, 2026, 11:31 p.m. |
| PD | Predicate disambiguation | batch_69f287c4a2b48190b80fb7a3c0e9b018 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:04 a.m.