Triple
T6124691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 애국가 |
E136565
|
entity |
| Predicate | 상징체계 |
P34702
|
FINISHED |
| Object |
무궁화
무궁화는 한국을 대표하는 국화로, 끊임없이 피어나는 특성 때문에 민족의 끈기와 번영을 상징하는 꽃이다.
|
E570532
|
NE FINISHED |
How this triple was built (4 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: 무궁화 | Statement: [애국가, 상징체계, 무궁화]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 무궁화 Context triple: [애국가, 상징체계, 무궁화]
-
A.
Gwan-eum
Gwan-eum is the Korean name for Guanyin, the bodhisattva of compassion widely revered in East Asian Buddhism.
-
B.
Mugunghwa-ho
Mugunghwa-ho is a class of South Korean intercity passenger trains operated by Korail, known for providing affordable, slower-speed service connecting major cities and regional areas.
-
C.
Hyeonreung
Hyeonreung is a royal tomb from Korea’s Joseon Dynasty, notable as one of the UNESCO-listed burial sites of its kings and queens.
-
D.
Osancheon
Osancheon is a river in Osan, South Korea, that flows through the city and serves as a local natural and recreational landmark.
-
E.
Kwang-chou
Kwang-chou is an alternative romanization of Guangzhou, the major port city and economic hub in southern China historically known in the West as Canton.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 무궁화 Triple: [애국가, 상징체계, 무궁화]
Generated description
무궁화는 한국을 대표하는 국화로, 끊임없이 피어나는 특성 때문에 민족의 끈기와 번영을 상징하는 꽃이다.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 무궁화 Target entity description: 무궁화는 한국을 대표하는 국화로, 끊임없이 피어나는 특성 때문에 민족의 끈기와 번영을 상징하는 꽃이다.
-
A.
Gwan-eum
Gwan-eum is the Korean name for Guanyin, the bodhisattva of compassion widely revered in East Asian Buddhism.
-
B.
Mugunghwa-ho
Mugunghwa-ho is a class of South Korean intercity passenger trains operated by Korail, known for providing affordable, slower-speed service connecting major cities and regional areas.
-
C.
Hyeonreung
Hyeonreung is a royal tomb from Korea’s Joseon Dynasty, notable as one of the UNESCO-listed burial sites of its kings and queens.
-
D.
Osancheon
Osancheon is a river in Osan, South Korea, that flows through the city and serves as a local natural and recreational landmark.
-
E.
Kwang-chou
Kwang-chou is an alternative romanization of Guangzhou, the major port city and economic hub in southern China historically known in the West as Canton.
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_69c135b2500c8190aaf67b059ccbe3f1 |
completed | March 23, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_69c13769a4bc81908d45d371e77f8d32 |
completed | March 23, 2026, 12:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c138247e2c8190b6c2aabbd36ad9c0 |
completed | March 23, 2026, 12:55 p.m. |
Created at: March 22, 2026, 4:14 p.m.