Triple
T33869754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CanvasPattern |
E868166
|
entity |
| Predicate | supportsTransformations |
P206707
|
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, supportsTransformations, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsTransformations Context triple: [CanvasPattern, supportsTransformations, true]
-
A.
usesTransformation
Indicates that one entity applies or relies on a specific transformation process, method, or function to operate on or convert another entity.
-
B.
includesTransformation
Indicates that one entity’s process, definition, or composition contains or involves a transformation applied to another entity.
-
C.
supportsTransitions
Indicates that one entity enables, allows, or is compatible with changes from one state or condition to another.
-
D.
canTransform
Indicates that one entity is capable of being changed or converted into another entity or state.
-
E.
hasTransformation
Indicates that one entity changes or is converted into another entity, capturing a transformation process or result.
- 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_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037e07fe4481909ca21eae7a941ee7 |
completed | May 12, 2026, 7:22 p.m. |
Created at: May 1, 2026, 1:47 a.m.