Triple
T9234826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BMW X7 M60i |
E221909
|
entity |
| Predicate | hybridTechnology |
P6774
|
FINISHED |
| Object | 48-volt mild hybrid system |
—
|
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: 48-volt mild hybrid system | Statement: [BMW X7 M60i, hybridTechnology, 48-volt mild hybrid system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hybridTechnology Context triple: [BMW X7 M60i, hybridTechnology, 48-volt mild hybrid system]
-
A.
hasHybridization
Indicates that one entity participates in or results from a hybridization process involving another entity.
-
B.
technologicalFeature
chosen
Indicates that one entity possesses, exhibits, or is characterized by a specific technological capability, component, or functionality in relation to another entity.
-
C.
laterUsedTechnology
Indicates that one entity adopted or employed a technology after another entity had already used it.
-
D.
supportsBigLittleHybrid
Indicates that an entity is compatible with or enables operation using a big.LITTLE-style heterogeneous core or component configuration.
-
E.
mainGenerationTechnology
Indicates the primary technology or method used to generate something, typically identifying the dominant production or generation approach among possible alternatives.
- 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.