Triple
T1780633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bugatti Rimac |
E39281
|
entity |
| Predicate | Mate RimacRole |
P32321
|
FINISHED |
| Object | Chief Executive Officer |
—
|
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: Chief Executive Officer | Statement: [Bugatti Rimac, Mate RimacRole, Chief Executive Officer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Mate RimacRole Context triple: [Bugatti Rimac, Mate RimacRole, Chief Executive Officer]
-
A.
manufacturedBy
Indicates that an item or product is produced or created by a specific manufacturer or maker.
-
B.
vehicleManufacturerHosted
Indicates that a vehicle manufacturer organized, sponsored, or served as the host for a particular event or activity.
-
C.
starVehicleFor
Indicates that one entity serves as the primary or featured vehicle associated with another entity, such as a person, production, or event.
-
D.
drivetrainRole
Indicates the functional role or position an entity has within a drivetrain system (e.g., input, transmission, or output component).
-
E.
notableElectricVariant
Indicates that one entity is a notable or significant electric-powered version or variant of another entity.
- F. None of above. chosen
Provenance (4 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_69a88630519c8190a17addd83c4a3ef4 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab74dc9d1481908084ef07872a71f8 |
completed | March 7, 2026, 12:44 a.m. |
| PD | Predicate disambiguation | batch_69aa61cf3ca881908641fd73ce2f7c9d |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab74db3dbc8190ab256a4e158062b8 |
completed | March 7, 2026, 12:44 a.m. |
Created at: March 4, 2026, 7:31 p.m.