Triple
T11657876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokia X3-02 |
E277054
|
entity |
| Predicate | hasColorDepth |
P30796
|
FINISHED |
| Object | 256K colors |
—
|
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: 256K colors | Statement: [Nokia X3-02, hasColorDepth, 256K colors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColorDepth Context triple: [Nokia X3-02, hasColorDepth, 256K colors]
-
A.
colorDepth
chosen
Indicates the bit-depth used to represent the color information of an image or display, defining how many distinct colors can be shown.
-
B.
hasColorModel
Indicates that an entity uses or is associated with a particular color representation model (such as RGB, CMYK, or HSV) for defining its colors.
-
C.
hasColorInfo
Indicates that an entity is associated with specific color-related information or attributes.
-
D.
hasColorFormat
Indicates that an entity uses or is associated with a specific color representation or encoding format.
-
E.
hasColorType
Indicates that an entity is associated with a specific category or type of color.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a3d0331481909682b2e504e4c9a0 |
completed | April 10, 2026, 7:16 a.m. |
| PD | Predicate disambiguation | batch_69d85ddc780481909a3bc63832fe2bd2 |
completed | April 10, 2026, 2:18 a.m. |
Created at: April 8, 2026, 9:39 p.m.