Triple
T15368941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GM Sigma platform |
E367490
|
entity |
| Predicate | wheelbaseConfig |
P33596
|
FINISHED |
| Object | mid-size |
—
|
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: mid-size | Statement: [GM Sigma platform, wheelbaseConfig, mid-size]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wheelbaseConfig Context triple: [GM Sigma platform, wheelbaseConfig, mid-size]
-
A.
wheelbase
Indicates the distance between the centers of the front and rear wheels of a vehicle.
-
B.
wheelbaseClass
chosen
Indicates the classification of a vehicle based on the length or category of its wheelbase.
-
C.
wheelbaseVariantOf
Indicates a relationship where one vehicle’s wheelbase configuration is a variant or modified version of another vehicle’s wheelbase.
-
D.
supportsWheelbaseVariants
Indicates that one entity is compatible with or designed to accommodate multiple wheelbase length variants of another entity.
-
E.
wheelbaseSharedWith
Indicates that two vehicles have the same wheelbase dimensions or share a common wheelbase platform.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e4b88a881909f9575c02aed287d |
completed | April 16, 2026, 1:41 a.m. |
| PD | Predicate disambiguation | batch_69deca9ab7e88190a9261ef27be665b1 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:18 a.m.