Triple
T20003563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WKInterfaceImage |
E494393
|
entity |
| Predicate | supportsTintColor |
P22951
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [WKInterfaceImage, supportsTintColor, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsTintColor Context triple: [WKInterfaceImage, supportsTintColor, true]
-
A.
supportColor
chosen
Indicates that an entity is compatible with, or can be rendered or displayed using, a specified color.
-
B.
supportsColorProfile
Indicates that one entity is capable of recognizing, handling, or applying the specified color profile associated with another entity.
-
C.
supportsParentColor
Indicates that one entity provides or is compatible with the color configuration defined or inherited from its parent entity.
-
D.
supportsThemeOf
Indicates that one entity reinforces, aligns with, or contributes to the central theme expressed by another entity.
-
E.
supportsWideColorGamut
Indicates that one entity provides or enables compatibility with a wide color gamut capability for another entity or context.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a3ad148190918f9dce755fe470 |
completed | April 20, 2026, 5:25 p.m. |
| PD | Predicate disambiguation | batch_69e54cdddbd48190becc8b2aa5ab4ef9 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:33 p.m.