Triple
T26622835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Bull Blue Edition Blueberry |
E668249
|
entity |
| Predicate | containsColorings |
P85337
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Red Bull Blue Edition Blueberry, containsColorings, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsColorings Context triple: [Red Bull Blue Edition Blueberry, containsColorings, true]
-
A.
hasNumberOfColors
Indicates the quantity of distinct colors associated with an entity.
-
B.
containsColor
chosen
Indicates that one entity includes or exhibits the color specified by another entity.
-
C.
hasColorStructure
Indicates that an entity possesses a specific arrangement or pattern of colors.
-
D.
hasColorMorphs
Indicates that an entity exhibits multiple distinct color variations or forms within the same species or type.
-
E.
hasChromaticNumberOfPointGraph
Indicates that a specified value is the chromatic number (minimum number of colors needed for a proper vertex coloring) of a given point graph.
- 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_69ee9cff507c819092b95bf7219a702e |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69fb2e940d5c8190bceae77daf4ef512 |
completed | May 6, 2026, 12:05 p.m. |
| PD | Predicate disambiguation | batch_69f9fec70bd881909c658a3c5020318b |
completed | May 5, 2026, 2:29 p.m. |
Created at: April 27, 2026, 2:21 a.m.