Triple
T7068437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U-Dub |
E164621
|
entity |
| Predicate | refersToColorScheme |
P29272
|
FINISHED |
| Object | purple and gold |
—
|
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 and gold | Statement: [U-Dub, refersToColorScheme, purple and gold]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refersToColorScheme Context triple: [U-Dub, refersToColorScheme, purple and gold]
-
A.
hasColourScheme
chosen
Indicates that an entity is associated with a particular set or pattern of colors used in its design or appearance.
-
B.
formerColorScheme
Indicates that an entity previously used a particular color scheme but no longer does so.
-
C.
hasColorReference
Indicates that one entity serves as a reference or source for determining or specifying the color associated with another entity.
-
D.
colorSystem
Indicates that one entity is a system or scheme used to define, organize, or represent the colors of another entity.
-
E.
colorSystemCompatibleWith
Indicates that one color system can be accurately used, interpreted, or converted within the context of another color system without loss of intended color meaning.
- 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_69c6887b96548190a8a9b3ac8adf4119 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4a935488190a8c9c21bf30dd5d4 |
completed | March 27, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69c6e1bdc1f08190975fcdbbb1854d1e |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:39 p.m.