Triple
T28972153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ToasterPaint |
E734301
|
entity |
| Predicate | imageRepresentation |
P167939
|
FINISHED |
| Object | raster graphics |
—
|
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: raster graphics | Statement: [ToasterPaint, imageRepresentation, raster graphics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imageRepresentation Context triple: [ToasterPaint, imageRepresentation, raster graphics]
-
A.
imageOf
Indicates that one entity is a visual representation or depiction of another entity.
-
B.
iconographicRepresentation
Indicates that one entity serves as a visual or symbolic depiction of another, typically in an artistic, religious, or cultural context.
-
C.
imageFile
Indicates that an entity is associated with, stored as, or represented by a particular image file.
-
D.
isImageOf
Indicates that one entity is a visual depiction or representation of another entity.
-
E.
imageDepictedIn
Indicates that a particular image is shown, represented, or included within another resource or 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_69f05b0d1e7c819092baab93d3fe277e |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f66e5f7e30819094530abceabd5f43 |
completed | May 2, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69f66abfdaf08190a55f14c70be6fd4d |
completed | May 2, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69f66d75a8788190aa9ca2c977429045 |
completed | May 2, 2026, 9:32 p.m. |
Created at: April 28, 2026, 9:06 a.m.