Triple
T12754754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokia E60 |
E304827
|
entity |
| Predicate | hasDisplayColors |
P102580
|
FINISHED |
| Object | 262144 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: 262144 colors | Statement: [Nokia E60, hasDisplayColors, 262144 colors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDisplayColors Context triple: [Nokia E60, hasDisplayColors, 262144 colors]
-
A.
hasColorDisplay
chosen
Indicates that an entity is equipped with a display capable of showing colors rather than only monochrome output.
-
B.
hasColorInfo
Indicates that an entity is associated with specific color-related information or attributes.
-
C.
hasColorOption
Indicates that an entity offers or supports a particular color as one of its selectable options.
-
D.
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.
-
E.
isColor
Indicates that one entity represents the color attribute or hue of 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d89ea70819098c470344f172167 |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96406e97c8190b79081039847115c |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:27 p.m.