Triple
T6172583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GM Alpha platform |
E137737
|
entity |
| Predicate | brakeConfigurationSupport |
P69209
|
FINISHED |
| Object | high-performance braking systems |
—
|
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: high-performance braking systems | Statement: [GM Alpha platform, brakeConfigurationSupport, high-performance braking systems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brakeConfigurationSupport Context triple: [GM Alpha platform, brakeConfigurationSupport, high-performance braking systems]
-
A.
brakeType
Indicates the specific kind or system of brakes associated with an entity.
-
B.
brakeSupplier
Indicates that one entity serves as the supplier or provider of brakes to another entity.
-
C.
brakeWear
Indicates that an entity is experiencing or exhibiting wear, degradation, or reduction in effectiveness of its braking components or braking function.
-
D.
engineConfigurationSupport
Indicates that one entity provides or defines support for a particular engine configuration of another entity.
-
E.
automotiveClassSupported
Indicates that a particular automotive class or category is supported or compatible within a given context or system.
- F. None of above. chosen
Provenance (4 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_69c008a68c508190a8d78245c865960e |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d9319548190980c99f692bd4115 |
completed | March 22, 2026, 9:22 p.m. |
| PD | Predicate disambiguation | batch_69c055f7f12881908e21c04e9b752ba4 |
completed | March 22, 2026, 8:50 p.m. |
| PDg | Predicate description generation | batch_69c056df95ac8190bc5efe050d3af864 |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 4:18 p.m.