Triple
T26345771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CSS shapes |
E662773
|
entity |
| Predicate | shapeImageThresholdControls |
P162150
|
FINISHED |
| Object | alpha channel threshold for image-based shapes |
—
|
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: alpha channel threshold for image-based shapes | Statement: [CSS shapes, shapeImageThresholdControls, alpha channel threshold for image-based shapes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shapeImageThresholdControls Context triple: [CSS shapes, shapeImageThresholdControls, alpha channel threshold for image-based shapes]
-
A.
ridgeMorphology
Indicates the characteristic shape, pattern, and structural features of a ridge as observed or described.
-
B.
panelControl
Indicates a relationship where one entity controls, manages, or operates a panel associated with another entity.
-
C.
imageSeparationMethod
Indicates the technique or process used to separate or distinguish different components, regions, or elements within an image.
-
D.
textureContrast
Indicates a relationship where two surfaces or regions differ noticeably in their tactile or visual texture qualities.
-
E.
regionOfInterest
Indicates a specifically defined spatial or conceptual area that is selected for focused attention, analysis, or processing within a broader context.
- 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_69ee81304194819092e20e0fae3aee07 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f622abdfac8190988421c946411d7e |
completed | May 2, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69f620debeb48190b7db395fb86cf8d9 |
completed | May 2, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69f621fbfc2c8190bfa802d7dc0f6aa4 |
completed | May 2, 2026, 4:10 p.m. |
Created at: April 26, 2026, 10:42 p.m.