Triple

T2013680
Position Surface form Disambiguated ID Type / Status
Subject Gyeonggi Province E43744 entity
Predicate hasCity P316 FINISHED
Object Yangju
Yangju is a city in northwestern South Korea known for its mix of suburban residential areas, light industry, and proximity to Seoul.
 E235115 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: Yangju | Statement: [Gyeonggi Province, hasCity, Yangju]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yangju
Context triple: [Gyeonggi Province, hasCity, Yangju]
  • A. Miryang
    Miryang is a city in South Gyeongsang Province, South Korea, known for its scenic river valley setting, historical sites, and role as a regional transport and educational hub.
  • B. Joseongeul
    Joseongeul is the native Korean alphabetic writing system, more commonly known today as Hangul.
  • C. Gwangalli
    Gwangalli is a coastal neighborhood in Busan, South Korea, best known for its sandy beach, vibrant nightlife, and scenic views of the nearby Gwangan Bridge.
  • D. Goyang
    Goyang is a major satellite city northwest of Seoul in South Korea, known for its rapid urban development, residential districts, and cultural attractions such as Ilsan Lake Park and KINTEX.
  • E. Gapcheon
    Gapcheon is a major river flowing through the city of Daejeon in South Korea, serving as a central natural and recreational landmark.
  • 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: Yangju
Triple: [Gyeonggi Province, hasCity, Yangju]
Generated description
Yangju is a city in northwestern South Korea known for its mix of suburban residential areas, light industry, and proximity to Seoul.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yangju
Target entity description: Yangju is a city in northwestern South Korea known for its mix of suburban residential areas, light industry, and proximity to Seoul.
  • A. Miryang
    Miryang is a city in South Gyeongsang Province, South Korea, known for its scenic river valley setting, historical sites, and role as a regional transport and educational hub.
  • B. Joseongeul
    Joseongeul is the native Korean alphabetic writing system, more commonly known today as Hangul.
  • C. Gwangalli
    Gwangalli is a coastal neighborhood in Busan, South Korea, best known for its sandy beach, vibrant nightlife, and scenic views of the nearby Gwangan Bridge.
  • D. Goyang
    Goyang is a major satellite city northwest of Seoul in South Korea, known for its rapid urban development, residential districts, and cultural attractions such as Ilsan Lake Park and KINTEX.
  • E. Gapcheon
    Gapcheon is a major river flowing through the city of Daejeon in South Korea, serving as a central natural and recreational landmark.
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8b42d508190bf2b63132bb2ad77 completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae304aa0888190a725234d8e527ac5 completed March 9, 2026, 2:28 a.m.
NEDg Description generation batch_69ae3197794c81908530b26fcb8a4a77 completed March 9, 2026, 2:33 a.m.
NED2 Entity disambiguation (via description) batch_69ae31f65444819090c2af22c21ec3e1 completed March 9, 2026, 2:35 a.m.
Created at: March 4, 2026, 7:37 p.m.