Triple
T28611944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BMP |
E724185
|
entity |
| Predicate | supportsColorProfiles |
P137834
|
FINISHED |
| Object | can embed color profiles in some variants |
—
|
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: can embed color profiles in some variants | Statement: [BMP, supportsColorProfiles, can embed color profiles in some variants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsColorProfiles Context triple: [BMP, supportsColorProfiles, can embed color profiles in some variants]
-
A.
supportsColorProfile
chosen
Indicates that one entity is capable of recognizing, handling, or applying the specified color profile associated with another entity.
-
B.
supportsColorSampling
Indicates that one entity can perform or accommodate color sampling operations on another entity or its data.
-
C.
supportsMoreColorsThan
Indicates that one entity is capable of displaying or handling a greater number of distinct colors than another entity.
-
D.
supportsWideColorGamut
Indicates that one entity provides or enables compatibility with a wide color gamut capability for another entity or context.
-
E.
usesColorGamut
Indicates that one entity employs or operates within the color gamut defined or provided by 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_69f01d816d7c8190a1fe27e3434041dc |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_6a014a0b57dc8190b04ce51156ab95fa |
completed | May 11, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_6a0149afa57c8190a83257085766d916 |
completed | May 11, 2026, 3:14 a.m. |
Created at: April 28, 2026, 4:30 a.m.