Triple
T3811400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macintosh II |
E93142
|
entity |
| Predicate | maxColors |
P30793
|
FINISHED |
| Object | 16.7 million 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: 16.7 million colors | Statement: [Macintosh II, maxColors, 16.7 million colors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maxColors Context triple: [Macintosh II, maxColors, 16.7 million colors]
-
A.
maxColorsOnScreen
chosen
Indicates the maximum number of distinct colors that can be displayed on the screen at the same time.
-
B.
colorVarietyCount
Indicates the number of distinct colors associated with or present in a given entity or set of entities.
-
C.
colorVarietyOf
Indicates that one entity represents a specific color variant or color option of another entity.
-
D.
originalColors
Indicates that something retains or is associated with its initial, unaltered set of colors.
-
E.
colors
Indicates that one entity assigns, describes, or provides the color or colors 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_69aed96a60088190ab1df8390fffc935 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aef1515c688190a38332aedeed8a76 |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee7482d708190a3ec74745b102a4c |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:16 p.m.