Triple
T5074273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maserati GranTurismo |
E114354
|
entity |
| Predicate | FolgorePowertrain |
P34264
|
FINISHED |
| Object | tri-motor electric setup |
—
|
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: tri-motor electric setup | Statement: [Maserati GranTurismo, FolgorePowertrain, tri-motor electric setup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: FolgorePowertrain Context triple: [Maserati GranTurismo, FolgorePowertrain, tri-motor electric setup]
-
A.
winnerPowertrainType
Indicates the type of powertrain used by the entity that is identified as the winner in a given context or competition.
-
B.
powertrainComponentOf
chosen
Indicates that one entity is a component or subsystem that forms part of the powertrain of another entity.
-
C.
gForce
Indicates the gravitational or inertial acceleration experienced by an object, typically expressed as a multiple of standard gravity.
-
D.
drivingForce
Indicates a causal influence or motivating factor that propels or significantly shapes another process, event, or outcome.
-
E.
fleetIncludes
Indicates that a particular fleet contains or is composed of the specified entity or entities as its members.
- 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_69bd443cf28c8190ad371d603563dbdd |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74d0be1c819081b26235fe602a30 |
completed | March 20, 2026, 4:24 p.m. |
| PD | Predicate disambiguation | batch_69bd7157fe608190b4515d56fdd0a616 |
completed | March 20, 2026, 4:10 p.m. |
Created at: March 20, 2026, 1:39 p.m.