Triple
T650288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French Air Force roundel |
E11330
|
entity |
| Predicate | lowVisibilityVariantColorScheme |
P60
|
FINISHED |
| Object | muted blue and red tones |
—
|
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: muted blue and red tones | Statement: [French Air Force roundel, lowVisibilityVariantColorScheme, muted blue and red tones]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lowVisibilityVariantColorScheme Context triple: [French Air Force roundel, lowVisibilityVariantColorScheme, muted blue and red tones]
-
A.
themeContrast
Indicates a relationship where two themes are compared or opposed to highlight their differences or tension.
-
B.
shieldLowerFieldColor
Indicates the color used specifically for the lower section (field) of a shield in a heraldic or emblematic design.
-
C.
colors
chosen
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
D.
lightRange
Indicates the distance or area over which a light source effectively emits or illuminates.
-
E.
hasLow
Indicates that an entity possesses a value, level, or amount of something that is below a defined or expected threshold.
- 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_69a493266a2881909daf4c40f719dee8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f31e70c81909a2ac1d939f7ec07 |
completed | March 1, 2026, 8:18 p.m. |
| PD | Predicate disambiguation | batch_69a49d0eade081909c47e85ed55f808d |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:36 p.m.