Triple
T13002213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CSS Media Queries |
E322195
|
entity |
| Predicate | mediaFeature |
P107772
|
FINISHED |
| Object | width |
—
|
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: width | Statement: [CSS Media Queries, mediaFeature, width]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediaFeature Context triple: [CSS Media Queries, mediaFeature, width]
-
A.
mediaDependentInterface
Indicates that one interface or interaction is contingent on, or varies according to, the characteristics or type of the media involved.
-
B.
mediaCharacterization
Indicates how an entity is portrayed, described, or framed by media sources in terms of attributes, tone, or narrative.
-
C.
mediaUse
Indicates that an entity makes use of, consumes, or engages with a particular medium or media resource.
-
D.
mediaFocus
Indicates that the primary attention, coverage, or emphasis of a media source is directed toward a particular entity or topic.
-
E.
mediaAspect
Indicates the specific aspect ratio or dimensional proportion of a media item in relation to its width and height.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e9828748190b2ad9ea29180b7d3 |
completed | April 10, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69d97dc153a081909d13a694993f074a |
completed | April 10, 2026, 10:46 p.m. |
| PDg | Predicate description generation | batch_69d97e74283c819082e69ac3554fa7d8 |
completed | April 10, 2026, 10:49 p.m. |
Created at: April 9, 2026, 8:47 p.m.