Triple
T22182290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chevrolet Advance Design |
E548198
|
entity |
| Predicate | grossVehicleWeightRatingRange |
P20168
|
FINISHED |
| Object | light-duty to medium-duty |
—
|
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: light-duty to medium-duty | Statement: [Chevrolet Advance Design, grossVehicleWeightRatingRange, light-duty to medium-duty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grossVehicleWeightRatingRange Context triple: [Chevrolet Advance Design, grossVehicleWeightRatingRange, light-duty to medium-duty]
-
A.
announcedGrossVehicleWeightRating
Indicates that an entity has a specified gross vehicle weight rating that has been formally announced or declared.
-
B.
typicalTruckWeightRange
Indicates the usual minimum-to-maximum weight interval that trucks of a given type or category are expected to fall within.
-
C.
associatedVehicleWeightClass
chosen
Indicates the weight classification category that is linked or assigned to a particular vehicle.
-
D.
towingCapability
Indicates the maximum load or object weight that one entity is able to pull or tow.
-
E.
hasVehicleWeightLimit
Indicates that there is a maximum allowable weight for vehicles associated with, or permitted to use, a given object or location.
- 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aa5998081909ff35f8b5df4f92f |
completed | April 28, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69e71b48576c8190a8e93738fd9cfda5 |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:35 p.m.