Triple
T6124693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 애국가 |
E136565
|
entity |
| Predicate | 법적지위 |
P2250
|
FINISHED |
| Object | 관행상 국가로 사용 |
—
|
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: 관행상 국가로 사용 | Statement: [애국가, 법적지위, 관행상 국가로 사용]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 법적지위 Context triple: [애국가, 법적지위, 관행상 국가로 사용]
-
A.
positionOnLaw
Indicates a stance, opinion, or interpretation that an entity holds regarding a specific law or legal provision.
-
B.
legalSubject
Indicates that an entity is the bearer of legal rights, duties, or responsibilities within a legal relationship or context.
-
C.
legalEmbodimentOf
Indicates that one entity serves as the legally recognized form, vehicle, or representation through which another entity exists, acts, or holds rights and obligations in law.
-
D.
hasLegalStatus
chosen
Indicates that an entity possesses a particular legal classification, recognition, or standing under law.
-
E.
legalAct
Indicates that an entity performs, enacts, or is involved in a formal legal action, measure, or proceeding under a legal framework.
- 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_69c0089f851c81909e5e189a617dcff6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05c2791948190ba33458edfd1ebe8 |
completed | March 22, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69c049f9ab3c81909c8ab6466f6a2935 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:14 p.m.