Triple

T1351711
Position Surface form Disambiguated ID Type / Status
Subject Ulsan E28895 entity
Predicate hasDistrict P459 FINISHED
Object Buk-gu
Buk-gu is a northern administrative district of the metropolitan city of Ulsan in South Korea.
 E168146 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: [Ulsan, hasDistrict, Buk-gu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Buk-gu
Context triple: [Ulsan, hasDistrict, Buk-gu]
  • A. Gubongsan
    Gubongsan is a mountain located in or near the city of Daejeon in South Korea, known for its hiking trails and scenic views.
  • B. 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.
  • C. Gapcheon
    Gapcheon is a major river flowing through the city of Daejeon in South Korea, serving as a central natural and recreational landmark.
  • 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. Deoksugung
    Deoksugung is a historic royal palace complex in central Seoul known for its blend of traditional Korean and Western-style architecture and its stone-wall road.
  • 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: [Ulsan, hasDistrict, Buk-gu]
Generated description
Buk-gu is a northern administrative district of the metropolitan city of Ulsan in South Korea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Buk-gu
Target entity description: Buk-gu is a northern administrative district of the metropolitan city of Ulsan in South Korea.
  • A. Gubongsan
    Gubongsan is a mountain located in or near the city of Daejeon in South Korea, known for its hiking trails and scenic views.
  • B. 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.
  • C. Gapcheon
    Gapcheon is a major river flowing through the city of Daejeon in South Korea, serving as a central natural and recreational landmark.
  • 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. Deoksugung
    Deoksugung is a historic royal palace complex in central Seoul known for its blend of traditional Korean and Western-style architecture and its stone-wall road.
  • 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_69a498571d248190a0ac9eb02d97097f completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c26b1b4881908ae4b1b2c9b268a0 completed March 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0e63b3f88190b34fb0407e1f03d5 completed March 8, 2026, 5:51 a.m.
NEDg Description generation batch_69ad0ec5e9dc8190bdf3d679e57f1aa1 completed March 8, 2026, 5:53 a.m.
NED2 Entity disambiguation (via description) batch_69ad12d79cd48190819b3540270c64f0 completed March 8, 2026, 6:10 a.m.
Created at: March 1, 2026, 7:56 p.m.