Triple
T34482930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 박근혜 |
E885237
|
entity |
| Predicate | 모국어 |
P151
|
FINISHED |
| Object | 한국어 |
—
|
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: 한국어 | Statement: [박근혜, 모국어, 한국어]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 모국어 Context triple: [박근혜, 모국어, 한국어]
-
A.
nativeLanguage
chosen
Indicates the language that a person or entity originally learned and uses as their primary or first language.
-
B.
parentLanguage
Indicates that one language is the ancestral or source language from which another language is derived or historically developed.
-
C.
所在国の言語
Indicates the language that is used in or officially associated with the country where the entity is located.
-
D.
nationalLanguageSpoken
Indicates that a particular language is officially recognized and commonly used as a national language within a given country or region.
-
E.
primaryLanguageHeritage
Indicates that one language is the main ancestral or culturally inherited language associated with an entity.
- 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_69f349c947fc81909d30b53c194d6ea1 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71fb1ab3881908e2f7c0e6f23db49 |
completed | May 3, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f71cc6397881909aaad37a9daa8a7e |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 2:01 a.m.