Triple
T3811399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macintosh II |
E93142
|
entity |
| Predicate | colorCapability |
P35979
|
FINISHED |
| Object | color graphics |
—
|
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: color graphics | Statement: [Macintosh II, colorCapability, color graphics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorCapability Context triple: [Macintosh II, colorCapability, color graphics]
-
A.
supportsColorSampling
Indicates that one entity can perform or accommodate color sampling operations on another entity or its data.
-
B.
displayCapabilities
chosen
Indicates the set of functions, features, or behaviors that an entity is able to present or support in a given context.
-
C.
colorSystemCompatibleWith
Indicates that one color system can be accurately used, interpreted, or converted within the context of another color system without loss of intended color meaning.
-
D.
supportsWideColorGamut
Indicates that one entity provides or enables compatibility with a wide color gamut capability for another entity or context.
-
E.
colorDisplay
Indicates that one entity presents, shows, or renders the color associated with 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.