Triple
T20027252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfa DNA driving mode selector |
E495015
|
entity |
| Predicate | NormalModeEffect |
P5072
|
FINISHED |
| Object | balanced comfort and efficiency settings |
—
|
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: balanced comfort and efficiency settings | Statement: [Alfa DNA driving mode selector, NormalModeEffect, balanced comfort and efficiency settings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NormalModeEffect Context triple: [Alfa DNA driving mode selector, NormalModeEffect, balanced comfort and efficiency settings]
-
A.
typicalPerformanceMode
Indicates the usual or most common way in which an entity performs an action or operates.
-
B.
alternateMode
Indicates that one entity functions as an alternative form, configuration, or mode of operation for another entity.
-
C.
mode
chosen
Indicates the manner, method, or way in which an action, process, or interaction is carried out or occurs.
-
D.
primaryEffect
Indicates the main direct outcome or consequence that results from a given cause, action, or condition.
-
E.
originalMode
Indicates that something preserves, reflects, or is associated with its initial or default mode of operation or state.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6628e1eec81908e4c9b2b0b68f0e4 |
completed | April 20, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69e54ce752748190a0a1ffddd0372271 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:35 p.m.