Triple
T33406429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2022 World Car Design of the Year |
E855448
|
entity |
| Predicate | winnerDesignTheme |
P184631
|
FINISHED |
| Object | retro-futuristic design |
—
|
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: retro-futuristic design | Statement: [2022 World Car Design of the Year, winnerDesignTheme, retro-futuristic design]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winnerDesignTheme Context triple: [2022 World Car Design of the Year, winnerDesignTheme, retro-futuristic design]
-
A.
winnerDesignerBrand
Indicates that a particular designer brand has won a specified competition, award, or contest.
-
B.
canDesignTheme
Indicates that an entity has the capability or permission to create or customize a visual or stylistic theme for another entity or system.
-
C.
winnerBackground
Indicates the background or prior circumstances associated with the entity that has won a contest, competition, or selection.
-
D.
shapeTheme
Indicates a relationship where one entity’s form, outline, or geometric characteristics serve as a central motif or organizing principle for another entity.
-
E.
winnerColor
Indicates the color associated with the entity that wins in a given event or competition.
- 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_69f3496f04a08190804e56ac5098b8e4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7b365288c8190bcb11fcfba028737 |
completed | May 3, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_69f7b1b8a9fc8190a1279e67a2d12707 |
completed | May 3, 2026, 8:36 p.m. |
| PDg | Predicate description generation | batch_69f7b2f2b9ac8190aa05b8a1aa18ec2d |
completed | May 3, 2026, 8:41 p.m. |
Created at: May 1, 2026, 1:36 a.m.