Triple

T6563636
Position Surface form Disambiguated ID Type / Status
Subject 蔚山 E153846 entity
Predicate 韩文名 P17869 FINISHED
Object 울산광역시 E28895 NE FINISHED

How this triple was built (3 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: 울산광역시 | Statement: [蔚山, 韩文名, 울산광역시]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 울산광역시
Context triple: [蔚山, 韩文名, 울산광역시]
  • A. Ulsan chosen
    Ulsan is a major industrial city in southeastern South Korea, known for its large automobile, shipbuilding, and petrochemical complexes.
  • B. Incheon
    Incheon is a major port city in northwestern South Korea, known for its international airport and role as a key transportation and economic hub.
  • C. Daegu
    Daegu is a major metropolitan city in southeastern South Korea known for its textile industry, electronics manufacturing, and cultural festivals.
  • D. Pohang
    Pohang is a major industrial and port city in South Korea, best known as the home of the global steelmaker POSCO and a key hub on the country’s east coast.
  • E. Uijeongbu
    Uijeongbu is a city in South Korea known as a suburban hub north of Seoul, featuring residential districts, commercial centers, and a history of hosting U.S. military bases.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: 韩文名
Context triple: [蔚山, 韩文名, 울산광역시]
  • A. nameInKorean chosen
    Indicates that an entity’s name is expressed in the Korean language.
  • B. hanjaName
    Indicates that one entity is the Sino-Korean (hanja) written form corresponding to the name of another entity.
  • C. hasNameInJapanese
    Indicates that an entity is associated with a specific name expressed in the Japanese language.
  • D. nameInChinese
    Indicates that an entity has a specific written name or label expressed in the Chinese language.
  • E. hasOfficialNameInJapanese
    Indicates that an entity has an official, formally recognized name expressed in the Japanese language.
  • F. None of above.

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_69c6880cb35881909b763eb0125236b9 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6cc9c6cb0819084fec8e0beb430de completed March 27, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d55fa1bc81908f2929e835051532 completed March 27, 2026, 7:07 p.m.
PD Predicate disambiguation batch_69c6acf93cb48190b54f5dd6febd34dc completed March 27, 2026, 4:14 p.m.
Created at: March 27, 2026, 1:52 p.m.