Triple
T26741622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Bull Yellow Edition Tropical |
E674274
|
entity |
| Predicate | editionColorName |
P162174
|
FINISHED |
| Object | Yellow Edition |
—
|
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: Yellow Edition | Statement: [Red Bull Yellow Edition Tropical, editionColorName, Yellow Edition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: editionColorName Context triple: [Red Bull Yellow Edition Tropical, editionColorName, Yellow Edition]
-
A.
colorVersionReleaseYear
Indicates the year in which a particular color version of something was released.
-
B.
capeColor
Indicates the color attribute associated with a cape worn or possessed by an entity.
-
C.
plateColor
Indicates that an entity has a specific color attribute associated with its plate.
-
D.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
E.
dressColor
Indicates the color attribute associated with a particular dress.
- 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_69eecda63a3881908095c47900692e65 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f622abdfac8190988421c946411d7e |
completed | May 2, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69f620debeb48190b7db395fb86cf8d9 |
completed | May 2, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69f621fbfc2c8190bfa802d7dc0f6aa4 |
completed | May 2, 2026, 4:10 p.m. |
Created at: April 27, 2026, 3:49 a.m.