Triple
T33869757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CanvasPattern |
E868166
|
entity |
| Predicate | isStrokeStyleType |
P177495
|
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: [CanvasPattern, isStrokeStyleType, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isStrokeStyleType Context triple: [CanvasPattern, isStrokeStyleType, true]
-
A.
hasStrokeType
Indicates that an entity is associated with a specific type or classification of stroke.
-
B.
hasStrokeContrast
Indicates that the thickness of a character’s strokes varies, distinguishing it from designs with uniform stroke weight.
-
C.
hasLineStyle
Indicates that one entity is associated with or uses a particular style or pattern of line representation in relation to another entity.
-
D.
isColor
Indicates that one entity represents the color attribute or hue of another entity.
-
E.
hasStyle
Indicates that an entity possesses, exhibits, or is characterized by a particular style or manner.
- 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_69f34995029081909ede0f7df73d1a5e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f700a6ff548190b98829c0a623b75f |
completed | May 3, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5a4f7881909324eb3c20ca96f1 |
completed | May 3, 2026, 7:42 a.m. |
| PDg | Predicate description generation | batch_69f6fcc44af48190b95fb9e12480a85f |
completed | May 3, 2026, 7:44 a.m. |
Created at: May 1, 2026, 1:47 a.m.