Triple
T35334310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BMW sDrive |
E1020410
|
entity |
| Predicate | notFeature |
P167517
|
FINISHED |
| Object | no active torque distribution to all four wheels |
—
|
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: no active torque distribution to all four wheels | Statement: [BMW sDrive, notFeature, no active torque distribution to all four wheels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notFeature Context triple: [BMW sDrive, notFeature, no active torque distribution to all four wheels]
-
A.
noFeature
chosen
Indicates that an entity lacks a particular feature, attribute, or characteristic that might otherwise be present.
-
B.
nonTriggerFeature
Indicates that a feature or characteristic is present but does not initiate, cause, or trigger the associated event, process, or condition.
-
C.
notFunction
Indicates that the specified entity does not serve as a function or is not used in a functional role within the given context.
-
D.
notDesignedAs
Indicates that one entity was not created, intended, or purposed to serve as or function as the other entity.
-
E.
notAbout
Indicates that a given entity, statement, or resource does not concern, reference, or pertain to another specified entity or topic.
- 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_69f76debb4e08190be52d89b8af2392d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f79533b88c8190934ec4cb21770e24 |
completed | May 3, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69f79104f5b48190a496cdffde8472da |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4:03 p.m.