Triple
T33204650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CIImage |
E849988
|
entity |
| Predicate | canBeRenderedBy |
P197103
|
FINISHED |
| Object | CPU |
—
|
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: CPU | Statement: [CIImage, canBeRenderedBy, CPU]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeRenderedBy Context triple: [CIImage, canBeRenderedBy, CPU]
-
A.
canRender
Indicates that one entity has the capability or functionality to generate or display another entity in a visual or presentable form.
-
B.
isRenderingOf
Indicates that one entity is a visual or graphical depiction or representation of another entity.
-
C.
canBeViewedAs
Indicates that one entity may be interpreted, treated, or understood as another entity or type under some perspective or conditions.
-
D.
canBeDepictedAs
Indicates that one entity is capable of being visually represented or illustrated in the form or style of another entity.
-
E.
canBeAdaptedBy
Indicates that one entity is capable of being modified, adjusted, or tailored for use by another entity.
- 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_69f3495efedc8190843a5728089544b9 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fe779248c081909f0ed1a2a0df23db |
completed | May 8, 2026, 11:53 p.m. |
| PD | Predicate disambiguation | batch_69fe76eaf6d48190998bc7168749cc42 |
completed | May 8, 2026, 11:51 p.m. |
| PDg | Predicate description generation | batch_69fe779167648190936bd49cc1049178 |
completed | May 8, 2026, 11:53 p.m. |
Created at: May 1, 2026, 1:30 a.m.