Triple

T7313844
Position Surface form Disambiguated ID Type / Status
Subject Buk District, Busan E168159 entity
Predicate hasRomanization P2508 FINISHED
Object Buk-gu
Buk-gu is a northern district of Busan, South Korea, known as an urban residential and commercial area within the metropolitan city.
E658230 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: Buk-gu | Statement: [Buk District, Busan, hasRomanization, Buk-gu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buk-gu
Context triple: [Buk District, Busan, hasRomanization, Buk-gu]
  • A. Buk-gu
    Buk-gu is a northern administrative district of Daegu, South Korea, known for its residential neighborhoods, educational institutions, and commercial areas.
  • B. Buk-gu
    Buk-gu is a northern administrative district of the metropolitan city of Ulsan in South Korea.
  • C. Donggureung
    Donggureung is a large royal burial complex in Guri, South Korea, containing multiple tombs of Joseon Dynasty kings and queens and recognized as part of a UNESCO World Heritage site.
  • D. Taebong
    Taebong was a short-lived Korean kingdom of the early 10th century that emerged during the Later Three Kingdoms period before being absorbed by Goryeo.
  • E. 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.
  • 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: Buk-gu
Triple: [Buk District, Busan, hasRomanization, Buk-gu]
Generated description
Buk-gu is a northern district of Busan, South Korea, known as an urban residential and commercial area within the metropolitan city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Buk-gu
Target entity description: Buk-gu is a northern district of Busan, South Korea, known as an urban residential and commercial area within the metropolitan city.
  • A. Buk-gu
    Buk-gu is a northern administrative district of the metropolitan city of Ulsan in South Korea.
  • B. Buk-gu
    Buk-gu is a northern administrative district of Daegu, South Korea, known for its residential neighborhoods, educational institutions, and commercial areas.
  • C. Donggureung
    Donggureung is a large royal burial complex in Guri, South Korea, containing multiple tombs of Joseon Dynasty kings and queens and recognized as part of a UNESCO World Heritage site.
  • D. Taebong
    Taebong was a short-lived Korean kingdom of the early 10th century that emerged during the Later Three Kingdoms period before being absorbed by Goryeo.
  • E. 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.
  • 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_69c6888d8e3c81909db79714903baf31 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ec03a7248190beb1dec612725e5b completed March 27, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fa75d64c8190be20be58c81446e1 completed March 28, 2026, 3:57 p.m.
NEDg Description generation batch_69c7fc2c90488190bd3aa5bf72606723 completed March 28, 2026, 4:05 p.m.
NED2 Entity disambiguation (via description) batch_69c7fcb2605c819080697768d00c77d7 completed March 28, 2026, 4:07 p.m.
Created at: March 27, 2026, 3:02 p.m.