Triple
T1635708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MDA |
E35355
|
entity |
| Predicate | defaultTextBackgroundColor |
P30788
|
FINISHED |
| Object | black |
—
|
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: black | Statement: [MDA, defaultTextBackgroundColor, black]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: defaultTextBackgroundColor Context triple: [MDA, defaultTextBackgroundColor, black]
-
A.
logoBackgroundColors
Indicates the background color or colors used behind a logo in its visual representation.
-
B.
textMode
Indicates that something operates, is displayed, or is processed in a mode where information is handled primarily as text rather than as graphics or other media.
-
C.
themeContrast
Indicates a relationship where two themes are compared or opposed to highlight their differences or tension.
-
D.
laterCaseColor
Indicates that the color of an entity’s case at a later time or stage in a sequence is being specified or related to another case color.
-
E.
logoColor
Indicates the color or primary color scheme used in an entity’s logo.
- 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_69a886036bc081909ff5de16dbe5e8ea |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a96083e7308190abbf025fe8e43abb |
completed | March 5, 2026, 10:52 a.m. |
| PD | Predicate disambiguation | batch_69a907cac610819083cafd4396b6d66c |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a9607716b4819092187f8c08daaf31 |
completed | March 5, 2026, 10:52 a.m. |
Created at: March 4, 2026, 7:28 p.m.