Triple
T31664828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northwest South Korea |
E808096
|
entity |
| Predicate | mediaStandard |
P178084
|
FINISHED |
| Object | basis for standard Korean used in national broadcasting |
—
|
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: basis for standard Korean used in national broadcasting | Statement: [Northwest South Korea, mediaStandard, basis for standard Korean used in national broadcasting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediaStandard Context triple: [Northwest South Korea, mediaStandard, basis for standard Korean used in national broadcasting]
-
A.
mediaFeature
Indicates a characteristic, capability, or attribute of a media item that distinguishes how it is presented, functions, or is experienced.
-
B.
mediaAspect
Indicates the specific aspect ratio or dimensional proportion of a media item in relation to its width and height.
-
C.
mediaUse
Indicates that an entity makes use of, consumes, or engages with a particular medium or media resource.
-
D.
mediaSettingFor
Indicates a configuration or setting that is applied to or associated with a particular media item or media context.
-
E.
mediaType
Indicates the format or category of media associated with an entity, such as text, image, audio, or video.
- 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_69f348dbeef4819080b446a7feb6340b |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f707f7959881908f037f0d6b1d0c36 |
completed | May 3, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_69f700fc274c8190a128593dc7c7abd0 |
completed | May 3, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69f707f380388190954b79d52a321921 |
completed | May 3, 2026, 8:31 a.m. |
Created at: April 30, 2026, 10:58 p.m.