Triple
T10541908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeju dialect |
E248714
|
entity |
| Predicate | youngerSpeakersTrend |
P94444
|
FINISHED |
| Object | shift toward Standard Korean |
—
|
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: shift toward Standard Korean | Statement: [Jeju dialect, youngerSpeakersTrend, shift toward Standard Korean]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: youngerSpeakersTrend Context triple: [Jeju dialect, youngerSpeakersTrend, shift toward Standard Korean]
-
A.
primarySpeakersAgeGroup
Indicates the age range category to which the main or primary speakers in a context belong.
-
B.
youngerGenerationFluency
Indicates that members of a younger generation possess greater fluency (e.g., in a language, skill, or practice) compared to older generations.
-
C.
typicalAudience
Indicates the group of people for whom something (such as a work, product, or resource) is primarily intended or most suitable.
-
D.
traditionalSpeakers
Indicates that the subject speaks a language in its traditional or heritage form, typically as part of a longstanding cultural or community practice.
-
E.
speakers
Indicates that one or more entities produce spoken language or vocal communication, typically addressing an audience or participating in a conversation.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a5918648190b16c2d1bc1bf015f |
completed | April 7, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69d4fb9729288190a0149f127acd7ae3 |
completed | April 7, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69d4fe06d4a48190b1a45dd1d4e16df0 |
completed | April 7, 2026, 12:52 p.m. |
Created at: April 6, 2026, 12:32 p.m.