Triple

T14886558
Position Surface form Disambiguated ID Type / Status
Subject Jongno District E350135 entity
Predicate contains P35 FINISHED
Object Gye-dong
Gye-dong is a historic neighborhood in central Seoul, South Korea, known for its traditional hanok houses and cultural heritage sites.
 E1127419 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: Gye-dong | Statement: [Jongno District, contains, Gye-dong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gye-dong
Context triple: [Jongno District, contains, Gye-dong]
  • A. Hwangnyeongsan
    Hwangnyeongsan is a mountain in Busan, South Korea, known for its panoramic city views and popular hiking trails.
  • B. Yeoncheon
    Yeoncheon is a county in Gyeonggi Province, South Korea, known for its location near the Demilitarized Zone (DMZ) and its significant historical and military sites.
  • C. Myeongneung
    Myeongneung is one of the royal burial sites from Korea’s Joseon Dynasty, forming part of the UNESCO-listed Royal Tombs complex.
  • D. Hwanggujicheon
    Hwanggujicheon is a stream in Osan, South Korea, that serves as a local waterway and natural feature of the city’s landscape.
  • E. 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.
  • 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: Gye-dong
Triple: [Jongno District, contains, Gye-dong]
Generated description
Gye-dong is a historic neighborhood in central Seoul, South Korea, known for its traditional hanok houses and cultural heritage sites.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gye-dong
Target entity description: Gye-dong is a historic neighborhood in central Seoul, South Korea, known for its traditional hanok houses and cultural heritage sites.
  • A. Hwangnyeongsan
    Hwangnyeongsan is a mountain in Busan, South Korea, known for its panoramic city views and popular hiking trails.
  • B. Yeoncheon
    Yeoncheon is a county in Gyeonggi Province, South Korea, known for its location near the Demilitarized Zone (DMZ) and its significant historical and military sites.
  • C. Myeongneung
    Myeongneung is one of the royal burial sites from Korea’s Joseon Dynasty, forming part of the UNESCO-listed Royal Tombs complex.
  • D. Hwanggujicheon
    Hwanggujicheon is a stream in Osan, South Korea, that serves as a local waterway and natural feature of the city’s landscape.
  • E. 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.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5f5b1c88190815f3585770cb135 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72aedae081909616f4aca3a44c92 completed May 8, 2026, 11:33 p.m.
NEDg Description generation batch_69fe73ee0da48190b8909009e0dc517b completed May 8, 2026, 11:38 p.m.
NED2 Entity disambiguation (via description) batch_69fe748da7948190b7253b9dc09ae9fa completed May 8, 2026, 11:41 p.m.
Created at: April 10, 2026, 1:56 a.m.