Triple
T29456573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HAM-8 display mode |
E747117
|
entity |
| Predicate | maxDisplayableColors |
P30793
|
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: [HAM-8 display mode, maxDisplayableColors, 262144 colors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maxDisplayableColors Context triple: [HAM-8 display mode, maxDisplayableColors, 262144 colors]
-
A.
maxColorsOnScreen
chosen
Indicates the maximum number of distinct colors that can be displayed on the screen at the same time.
-
B.
hasNumberOfColors
Indicates the quantity of distinct colors associated with an entity.
-
C.
colorDisplay
Indicates that one entity presents, shows, or renders the color associated with another entity.
-
D.
colorDepth
Indicates the bit-depth used to represent the color information of an image or display, defining how many distinct colors can be shown.
-
E.
hasColorDisplay
Indicates that an entity is equipped with a display capable of showing colors rather than only monochrome output.
- 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_69f0bd4125f88190b56104591351619c |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66b6cf8fc81909cd68959b362dde0 |
completed | May 2, 2026, 9:23 p.m. |
| PD | Predicate disambiguation | batch_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 3:46 p.m.