Triple
T33406310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hyundai SmartSense |
E855445
|
entity |
| Predicate | controlCapability |
P55904
|
FINISHED |
| Object | automatic braking assistance |
—
|
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: automatic braking assistance | Statement: [Hyundai SmartSense, controlCapability, automatic braking assistance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: controlCapability Context triple: [Hyundai SmartSense, controlCapability, automatic braking assistance]
-
A.
controlFeatures
Indicates that one entity has the ability to configure, manage, or influence the operational settings or characteristics of another entity.
-
B.
canControl
Indicates that one entity has the ability or authority to direct, manage, or influence the behavior or state of another entity.
-
C.
capabilityType
chosen
Indicates the type or category of capability that an entity possesses or is associated with.
-
D.
controlsFeaturesAt
Indicates that one entity has the authority or capability to manage, configure, or influence specific features at a particular location or context.
-
E.
canBeControlledFrom
Indicates that one entity has the ability or authority to operate, direct, or manage another entity remotely or indirectly.
- 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_69f3496f04a08190804e56ac5098b8e4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe6fea4a288190bf8615c5d6bf41b4 |
completed | May 8, 2026, 11:21 p.m. |
| PD | Predicate disambiguation | batch_69fe6f774de08190975a2393b9a1fd22 |
completed | May 8, 2026, 11:19 p.m. |
Created at: May 1, 2026, 1:36 a.m.