Triple
T13315322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercedes-Benz 190E 2.5-16 Evolution |
E317174
|
entity |
| Predicate | drivingFocus |
P109476
|
FINISHED |
| Object | track-oriented handling |
—
|
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: track-oriented handling | Statement: [Mercedes-Benz 190E 2.5-16 Evolution, drivingFocus, track-oriented handling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drivingFocus Context triple: [Mercedes-Benz 190E 2.5-16 Evolution, drivingFocus, track-oriented handling]
-
A.
drivesOn
Indicates that an entity uses or travels along a particular route, surface, or roadway as its path of movement.
-
B.
drives
Indicates that one entity operates and controls the movement of a vehicle or similar conveyance transporting themselves or others.
-
C.
trafficFocus
Indicates a focus of attention or priority given to a particular traffic element, flow, or direction within a transportation or network context.
-
D.
drivesMad
Indicates that one entity causes another entity to become extremely annoyed, frustrated, or mentally unsettled.
-
E.
dynamicDrivingTaskFallback
Indicates that responsibility for performing the dynamic driving task is transferred or reverted to a fallback entity (such as a human driver or backup system) when the primary driving automation cannot continue.
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6babd88190a5d529df9584b9a4 |
completed | April 11, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69d99cf7f9c48190a6a4f452b4a2aefa |
completed | April 11, 2026, 12:59 a.m. |
Created at: April 9, 2026, 9:29 p.m.