Triple
T12300345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | coat of arms of Russia |
E293201
|
entity |
| Predicate | centralFigureColor |
P104342
|
FINISHED |
| Object | silver (St. George and horse) |
—
|
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: silver (St. George and horse) | Statement: [coat of arms of Russia, centralFigureColor, silver (St. George and horse)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralFigureColor Context triple: [coat of arms of Russia, centralFigureColor, silver (St. George and horse)]
-
A.
centralFigureMaterial
Indicates that the material specified is the primary substance from which the central figure in a composition or object is made.
-
B.
centralStarColor
Indicates the color characteristic of a system’s central star in the relationship.
-
C.
hasCentralFigure
Indicates that something features a primary or most important figure at its core or focus.
-
D.
coreFigure
Indicates that an entity serves as the central or most important figure within a given context, group, or structure.
-
E.
cereColor
Indicates that one entity specifies or denotes the color of another entity’s cere (the fleshy area above a bird’s beak).
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec02c008190a56aae60a3d9eff6 |
completed | April 10, 2026, 6:17 p.m. |
| PDg | Predicate description generation | batch_69d93f607a88819089e89fd263ae9937 |
completed | April 10, 2026, 6:20 p.m. |
Created at: April 8, 2026, 9:53 p.m.