Triple
T14416834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rolls-Royce Spectre |
E357473
|
entity |
| Predicate | electricMotors |
P111566
|
FINISHED |
| Object | dual-motor 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: dual-motor setup | Statement: [Rolls-Royce Spectre, electricMotors, dual-motor setup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electricMotors Context triple: [Rolls-Royce Spectre, electricMotors, dual-motor setup]
-
A.
electricMotorType
Indicates the specific kind or category of electric motor associated with an entity.
-
B.
hasElectricMotor
chosen
Indicates that an entity is equipped with, contains, or uses an electric motor as part of its operation or structure.
-
C.
electrificationSystem
Indicates the type of electrical power system used to supply energy (typically to infrastructure or vehicles) for operation.
-
D.
electrification
Indicates the process or state of providing electrical power or converting something to operate using electricity.
-
E.
notableElectricVariant
Indicates that one entity is a notable or significant electric-powered version or variant of another entity.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90cec8e4819087c72d82f9caacda |
completed | April 14, 2026, 7:09 p.m. |
| PD | Predicate disambiguation | batch_69de5c30467881908e770e3940295641 |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:17 a.m.