Triple
T1966061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saffron Revolution |
E42689
|
entity |
| Predicate | hasColorSymbolism |
P18249
|
FINISHED |
| Object | saffron robes of Buddhist monks |
—
|
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: saffron robes of Buddhist monks | Statement: [Saffron Revolution, hasColorSymbolism, saffron robes of Buddhist monks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColorSymbolism Context triple: [Saffron Revolution, hasColorSymbolism, saffron robes of Buddhist monks]
-
A.
starColorSymbolism
Indicates how the color of a star is associated with particular symbolic meanings or themes.
-
B.
hasColorSymbol
chosen
Indicates that one entity is associated with another entity that serves as its representative or symbolic color.
-
C.
hasColoration
Indicates that an entity possesses a particular color or pattern of colors.
-
D.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
E.
symbolizes
Indicates that one entity stands for, represents, or is used as a sign for another entity, concept, or idea.
- 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_69a88711151c8190940b2572095059d7 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3cd47388190998b5f6800141c92 |
completed | March 7, 2026, 5:12 a.m. |
| PD | Predicate disambiguation | batch_69abaff7d4a48190ab0d51aefb1c4e31 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.