Triple
T31090670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercedes-Maybach GLS 600 |
E792375
|
entity |
| Predicate | mildHybridSystem |
P109856
|
FINISHED |
| Object | EQ Boost 48-volt 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: EQ Boost 48-volt system | Statement: [Mercedes-Maybach GLS 600, mildHybridSystem, EQ Boost 48-volt system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mildHybridSystem Context triple: [Mercedes-Maybach GLS 600, mildHybridSystem, EQ Boost 48-volt system]
-
A.
hasHybridSystem
chosen
Indicates that an entity is equipped with or incorporates a hybrid system, typically combining two or more different technologies or power sources.
-
B.
hasHybridPowerOutput
Indicates that an entity possesses a power output characteristic derived from or involving a hybrid (multi-source) power system.
-
C.
electrificationSystem
Indicates the type of electrical power system used to supply energy (typically to infrastructure or vehicles) for operation.
-
D.
hybridName
Indicates that an entity has a designated name specifically used for a hybrid or cross-bred form derived from multiple sources.
-
E.
primaryPowertrain
Indicates the main powertrain system that primarily provides propulsion or drive power for a vehicle or machine.
- 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_69f224ce48348190bd0fc23f656ed683 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f697eabb048190bc01a830f14942c6 |
completed | May 3, 2026, 12:33 a.m. |
| PD | Predicate disambiguation | batch_69f69664142c8190bc695501056b0236 |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:02 p.m.