Triple
T29100353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Extra Half-Brite |
E736622
|
entity |
| Predicate | paletteLimit |
P30794
|
FINISHED |
| Object | 32 independent color registers |
—
|
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: 32 independent color registers | Statement: [Extra Half-Brite, paletteLimit, 32 independent color registers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paletteLimit Context triple: [Extra Half-Brite, paletteLimit, 32 independent color registers]
-
A.
paletteSize
chosen
Indicates the number of distinct colors included in a given color palette.
-
B.
maxColorsOnScreen
Indicates the maximum number of distinct colors that can be displayed on the screen at the same time.
-
C.
paletteSupport
Indicates that one entity supports, is compatible with, or can correctly handle the color palette defined or used by another entity.
-
D.
gLimit
Indicates a constraint or maximum boundary imposed on the magnitude, rate, or extent of something within a given context.
-
E.
colorUse
Indicates that one entity uses, applies, or is associated with a particular color in its appearance, design, or representation.
- 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_69f077ec765c81909474c88bcc8bab43 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f661b58ac48190907b6c6e9ccc2c59 |
completed | May 2, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69f65c2376a08190be5215171e908e69 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 11:11 a.m.