Triple
T2526380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khanda |
E56042
|
entity |
| Predicate | symbolicColorContext |
P18249
|
FINISHED |
| Object | often depicted in blue |
—
|
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: often depicted in blue | Statement: [Khanda, symbolicColorContext, often depicted in blue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: symbolicColorContext Context triple: [Khanda, symbolicColorContext, often depicted in blue]
-
A.
hasColorSymbol
chosen
Indicates that one entity is associated with another entity that serves as its representative or symbolic color.
-
B.
symbolicStyle
Indicates that one entity employs or is characterized by a particular symbolic or emblematic style defined by the other entity.
-
C.
starColorSymbolism
Indicates how the color of a star is associated with particular symbolic meanings or themes.
-
D.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
E.
hasColorReference
Indicates that one entity serves as a reference or source for determining or specifying the color 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_69ab4a48e4f081908f1218d244608659 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd255f0d081908d20cfb812c4bfc1 |
completed | March 7, 2026, 7:23 a.m. |
| PD | Predicate disambiguation | batch_69abd0c2e34c8190a914d5c2afba147c |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:46 p.m.