Triple
T9234835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BMW X7 M60i |
E221909
|
entity |
| Predicate | steeringFeature |
P45638
|
FINISHED |
| Object | integral active steering |
—
|
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: integral active steering | Statement: [BMW X7 M60i, steeringFeature, integral active steering]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: steeringFeature Context triple: [BMW X7 M60i, steeringFeature, integral active steering]
-
A.
steeringType
Indicates the kind or mechanism of steering control used to direct the movement of an entity.
-
B.
hasSteering
chosen
Indicates that one entity is equipped with or possesses a steering mechanism that allows control of its direction.
-
C.
driveAssistFeature
Indicates that one entity provides an assistance feature that helps another entity perform driving-related tasks.
-
D.
supportsDrivetrainFeature
Indicates that an entity provides or is compatible with a specified drivetrain-related capability or function.
-
E.
drivetrainFeature
Indicates that an entity has a specific characteristic, component, or capability related to its drivetrain system.
- 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_69ca83ed628c8190bc02d641e57f097f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccee1cca0c8190bf587f54236c9e45 |
completed | April 1, 2026, 10:06 a.m. |
| PD | Predicate disambiguation | batch_69cc7a3daeb481908b0abde3fbc1f1f0 |
completed | April 1, 2026, 1:51 a.m. |
Created at: March 30, 2026, 7:29 p.m.