Triple
T8929173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | quattro all-wheel drive |
E212608
|
entity |
| Predicate | technologyVariant |
P44323
|
FINISHED |
| Object | mechanical center differential |
—
|
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: mechanical center differential | Statement: [quattro all-wheel drive, technologyVariant, mechanical center differential]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: technologyVariant Context triple: [quattro all-wheel drive, technologyVariant, mechanical center differential]
-
A.
technologyType
Indicates the specific kind or category of technology associated with an entity or relationship.
-
B.
technologicalFeature
Indicates that one entity possesses, exhibits, or is characterized by a specific technological capability, component, or functionality in relation to another entity.
-
C.
technologyClass
Indicates the classification or category of technology to which an entity belongs.
-
D.
serviceVariantOf
Indicates that one service is a variant or alternative version of another, typically differing in configuration, features, or options while serving a similar core function.
-
E.
technologyIncludes
chosen
Indicates that one technology encompasses, contains, or incorporates another technology as part of its components, features, or implementation.
- 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_69ca8395c438819087d7cb844ab5990c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc667470308190a75ba63de803e3a2 |
completed | April 1, 2026, 12:27 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed3286c8190a21de2ee11f2639f |
completed | March 31, 2026, 11:54 p.m. |
Created at: March 30, 2026, 6:57 p.m.