Triple
T30731047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Military flags of Spain |
E782423
|
entity |
| Predicate | mainColors |
P17891
|
FINISHED |
| Object | red |
—
|
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: red | Statement: [Military flags of Spain, mainColors, red]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainColors Context triple: [Military flags of Spain, mainColors, red]
-
A.
primaryColorPalette
chosen
Indicates the set of main or dominant colors associated with an entity, typically used as its core color scheme.
-
B.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
C.
originalColors
Indicates that something retains or is associated with its initial, unaltered set of colors.
-
D.
mainChargeColor
Indicates the primary color associated with a charge or emblem in a design or heraldic context.
-
E.
homeColorsDominant
Indicates that the primary or most prominent colors associated with a subject’s home (such as a team’s home uniform or a building’s main color scheme) are specified or emphasized.
- 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_69f224ad9f9c81908e02a79ae0001137 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7817daf00819098936402e75ab0a6 |
completed | May 3, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69f780fc5ed88190b7200ee5a29940af |
completed | May 3, 2026, 5:08 p.m. |
Created at: April 29, 2026, 8:37 p.m.