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.