Triple
T3654382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | coat of arms of the Second Spanish Republic |
E77494
|
entity |
| Predicate | colorSchemeAssociatedWith |
P29272
|
FINISHED |
| Object | purple-yellow-red tricolour |
—
|
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: purple-yellow-red tricolour | Statement: [coat of arms of the Second Spanish Republic, colorSchemeAssociatedWith, purple-yellow-red tricolour]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorSchemeAssociatedWith Context triple: [coat of arms of the Second Spanish Republic, colorSchemeAssociatedWith, purple-yellow-red tricolour]
-
A.
hasColourScheme
chosen
Indicates that an entity is associated with a particular set or pattern of colors used in its design or appearance.
-
B.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
C.
capeColor
Indicates the color attribute associated with a cape worn or possessed by an entity.
-
D.
insigniaColorContext
Indicates the contextual circumstances or conditions under which a particular insignia color is used or holds its specific meaning.
-
E.
primaryThemeAssociation
Indicates that one entity is the main or central theme associated with 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_69ad85def5cc8190863dccf55a18bebb |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3b9164c81908938a4338430d193 |
completed | March 8, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69adb84650148190bf79231105e58d7f |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:24 p.m.