Triple
T1780647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bugatti Rimac |
E39281
|
entity |
| Predicate | innovationFrom |
P32322
|
FINISHED |
| Object | Rimac’s electric powertrain expertise |
—
|
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: Rimac’s electric powertrain expertise | Statement: [Bugatti Rimac, innovationFrom, Rimac’s electric powertrain expertise]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: innovationFrom Context triple: [Bugatti Rimac, innovationFrom, Rimac’s electric powertrain expertise]
-
A.
innovation
Indicates the introduction or development of something new or significantly improved compared to existing methods, products, or ideas.
-
B.
innovationArea
Indicates the thematic or domain-specific field in which an innovation is focused or applied.
-
C.
technologyPioneered
Indicates that an entity was the first or among the first to develop, introduce, or significantly advance a particular technology.
-
D.
inventionType
Indicates the specific category or kind of invention that characterizes the relationship between an invention and its type.
-
E.
inspiredDevelopmentOf
Indicates that one entity served as a motivating influence or creative stimulus leading to the development or creation 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.