Triple

T9940439
Position Surface form Disambiguated ID Type / Status
Subject Pyong-il E194064 entity
Predicate nameComponent P5298 FINISHED
Object Pyong
Pyong is a Korean given name element commonly used in personal names, particularly in North Korea.
 E830602 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: Pyong | Statement: [Pyong-il, nameComponent, Pyong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pyong
Context triple: [Pyong-il, nameComponent, Pyong]
  • A. Eonyang
    Eonyang is a town in South Korea that serves as the administrative and commercial center of Ulju County in Ulsan.
  • B. Pangim
    Pangim, also known as Panaji, is the riverside city that serves as the administrative and cultural center of the Indian state of Goa.
  • C. Dong
    The Dong are an ethnic minority group in China, known for their distinctive wooden architecture, polyphonic folk singing, and concentration in the mountainous regions of southern China, including Guizhou Province.
  • D. Minyong
    Minyong is a subgroup of the Adi people, an indigenous community of Arunachal Pradesh in Northeast India known for its distinct language and cultural traditions.
  • E. Wiryeseong
    Wiryeseong was the first capital city of the ancient Korean kingdom of Baekje, located in the Han River basin near present-day Seoul.
  • 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: Pyong
Triple: [Pyong-il, nameComponent, Pyong]
Generated description
Pyong is a Korean given name element commonly used in personal names, particularly in North Korea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pyong
Target entity description: Pyong is a Korean given name element commonly used in personal names, particularly in North Korea.
  • A. Eonyang
    Eonyang is a town in South Korea that serves as the administrative and commercial center of Ulju County in Ulsan.
  • B. Pangim
    Pangim, also known as Panaji, is the riverside city that serves as the administrative and cultural center of the Indian state of Goa.
  • C. Dong
    The Dong are an ethnic minority group in China, known for their distinctive wooden architecture, polyphonic folk singing, and concentration in the mountainous regions of southern China, including Guizhou Province.
  • D. Minyong
    Minyong is a subgroup of the Adi people, an indigenous community of Arunachal Pradesh in Northeast India known for its distinct language and cultural traditions.
  • E. Wiryeseong
    Wiryeseong was the first capital city of the ancient Korean kingdom of Baekje, located in the Han River basin near present-day Seoul.
  • 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_69ca82e409348190a393777356b80a2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb60f4ffc8190bfe916bb4a7bf5c5 completed April 2, 2026, 12:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d229080d0081908b66b9c4166db252 completed April 5, 2026, 9:19 a.m.
NEDg Description generation batch_69d22a07d4088190b19b4529c0a56f8d completed April 5, 2026, 9:23 a.m.
NED2 Entity disambiguation (via description) batch_69d22b37ce8481909a52a144605d44a4 completed April 5, 2026, 9:28 a.m.
Created at: March 30, 2026, 8:44 p.m.