Triple

T3001185
Position Surface form Disambiguated ID Type / Status
Subject Zhang E81790 entity
Predicate hasVariantTransliteration P5923 FINISHED
Object Cheong
Cheong is a variant transliteration of the Chinese surname commonly romanized as Zhang, used in certain dialects and regional naming conventions.
 E321784 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: Cheong | Statement: [Zhang, hasVariantTransliteration, Cheong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cheong
Context triple: [Zhang, hasVariantTransliteration, Cheong]
  • A. Gyeongseong
    Gyeongseong was the Japanese colonial-era name for Seoul, which served as the administrative and political center of Korea under Japanese rule.
  • B. 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.
  • C. Seo-dong
    Seo-dong is a neighborhood within Busan’s Geumjeong District in South Korea, known primarily as a residential area with local commerce and community facilities.
  • D. Yudeungcheon
    Yudeungcheon is a river in Daejeon, South Korea, known for flowing through the city’s urban areas and serving as a local recreational and ecological space.
  • E. Joseongeul
    Joseongeul is the native Korean alphabetic writing system, more commonly known today as Hangul.
  • 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: Cheong
Triple: [Zhang, hasVariantTransliteration, Cheong]
Generated description
Cheong is a variant transliteration of the Chinese surname commonly romanized as Zhang, used in certain dialects and regional naming conventions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cheong
Target entity description: Cheong is a variant transliteration of the Chinese surname commonly romanized as Zhang, used in certain dialects and regional naming conventions.
  • A. Gyeongseong
    Gyeongseong was the Japanese colonial-era name for Seoul, which served as the administrative and political center of Korea under Japanese rule.
  • B. 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.
  • C. Seo-dong
    Seo-dong is a neighborhood within Busan’s Geumjeong District in South Korea, known primarily as a residential area with local commerce and community facilities.
  • D. Yudeungcheon
    Yudeungcheon is a river in Daejeon, South Korea, known for flowing through the city’s urban areas and serving as a local recreational and ecological space.
  • E. Joseongeul
    Joseongeul is the native Korean alphabetic writing system, more commonly known today as Hangul.
  • 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_69ad8b1c4de88190a83b7cefaa1f2842 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a1022e48190afee77db94635ff2 completed March 8, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1dea057a48190a7911d8d6046dd3d completed March 11, 2026, 9:29 p.m.
NEDg Description generation batch_69b1e6b8848481908871662d94f866c1 completed March 11, 2026, 10:03 p.m.
NED2 Entity disambiguation (via description) batch_69b1e6fee8148190b9f241aa52198432 completed March 11, 2026, 10:04 p.m.
Created at: March 8, 2026, 2:59 p.m.