Triple
T29389287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PrintAttributes |
E745332
|
entity |
| Predicate | mediaSizeType |
P146598
|
FINISHED |
| Object | PrintAttributes.MediaSize |
—
|
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: PrintAttributes.MediaSize | Statement: [PrintAttributes, mediaSizeType, PrintAttributes.MediaSize]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediaSizeType Context triple: [PrintAttributes, mediaSizeType, PrintAttributes.MediaSize]
-
A.
platformSize
Indicates the relative or absolute size or dimensions of a platform in relation to something else.
-
B.
sizeType
chosen
Indicates the kind or category of size associated with an entity, such as relative scale, measurement type, or size classification.
-
C.
supportsMediaSize
Indicates that one entity is capable of handling, accommodating, or being compatible with a specified media size.
-
D.
sizeCategory
Indicates the relative size classification assigned to an entity compared to others (e.g., small, medium, large).
-
E.
bodySize
Indicates the relative physical magnitude or scale of an entity’s body, such as how large or small it is.
- F. None of above.
Provenance (3 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_69f0a79dfabc81908755382ee47791e2 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f697eabb048190bc01a830f14942c6 |
completed | May 3, 2026, 12:33 a.m. |
| PD | Predicate disambiguation | batch_69f69664142c8190bc695501056b0236 |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 28, 2026, 2:41 p.m.