Triple
T36020089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BMW M140i |
E1041957
|
entity |
| Predicate | drivetrainSuccessor |
P185372
|
FINISHED |
| Object | BMW M135i xDrive uses all-wheel drive |
—
|
NE NERFINISHED |
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: BMW M135i xDrive uses all-wheel drive | Statement: [BMW M140i, drivetrainSuccessor, BMW M135i xDrive uses all-wheel drive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drivetrainSuccessor Context triple: [BMW M140i, drivetrainSuccessor, BMW M135i xDrive uses all-wheel drive]
-
A.
drivetrainCategory
Indicates the type or classification of a vehicle’s drivetrain system (e.g., FWD, RWD, AWD) associated with an entity.
-
B.
drivetrainRole
Indicates the functional role or position an entity has within a drivetrain system (e.g., input, transmission, or output component).
-
C.
drivetrainFeature
Indicates that an entity has a specific characteristic, component, or capability related to its drivetrain system.
-
D.
drivetrainChangeDescription
Indicates a description of a modification or change made to a vehicle’s drivetrain system.
-
E.
drivetrainConfigurationProduced
Indicates that a particular drivetrain configuration has been produced or manufactured.
- 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_69f76e2b981881908e4e160607fa82eb |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7be53890081909b1d93f30a8f31c6 |
completed | May 3, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f7bccacbac8190978976324c67db28 |
completed | May 3, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69f7be520f148190ba200bf3dbf40656 |
completed | May 3, 2026, 9:29 p.m. |
Created at: May 3, 2026, 4:07 p.m.