Triple
T28611956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BMP |
E724185
|
entity |
| Predicate | paletteSupport |
P164915
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [BMP, paletteSupport, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paletteSupport Context triple: [BMP, paletteSupport, yes]
-
A.
paletteSize
Indicates the number of distinct colors included in a given color palette.
-
B.
supportsColorProfile
Indicates that one entity is capable of recognizing, handling, or applying the specified color profile associated with another entity.
-
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.
supportsMonochromeMonitor
Indicates that one entity is capable of operating with, driving, or is compatible with a monochrome (single-color) monitor.
-
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. chosen
Provenance (4 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_69f01d816d7c8190a1fe27e3434041dc |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651aad92c8190b874b3b5f9f64434 |
completed | May 2, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69f652a3a8208190a4fdd66f34138bd2 |
completed | May 2, 2026, 7:38 p.m. |
Created at: April 28, 2026, 4:30 a.m.