Triple

T5565998
Position Surface form Disambiguated ID Type / Status
Subject Seoul Special City E145879 entity
Predicate hasCulturalDistrict P295 FINISHED
Object Hongdae
Hongdae is a vibrant neighborhood in Seoul known for its indie music scene, street art, nightlife, and youth culture centered around Hongik University.
 E551476 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: Hongdae | Statement: [Seoul Special City, hasCulturalDistrict, Hongdae]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hongdae
Context triple: [Seoul Special City, hasCulturalDistrict, Hongdae]
  • A. Nonhyeon-dong
    Nonhyeon-dong is a neighborhood in Seoul, South Korea, known for its mix of residential areas, commercial streets, and proximity to major business and shopping districts.
  • B. Daedeok-gu
    Daedeok-gu is a district in the city of Daejeon, South Korea, known for encompassing parts of the country’s major research and science complex.
  • C. Yangjeong-dong
    Yangjeong-dong is a neighborhood (dong) located within Busanjin District in the city of Busan, South Korea.
  • D. Hwamyeong-dong
    Hwamyeong-dong is a neighborhood in Busan, South Korea, known as a residential and commercial area within the city's urban landscape.
  • E. Dong-gu
    Dong-gu is an administrative district of the metropolitan city of Ulsan in South Korea, known for its coastal location and industrial facilities.
  • 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: Hongdae
Triple: [Seoul Special City, hasCulturalDistrict, Hongdae]
Generated description
Hongdae is a vibrant neighborhood in Seoul known for its indie music scene, street art, nightlife, and youth culture centered around Hongik University.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hongdae
Target entity description: Hongdae is a vibrant neighborhood in Seoul known for its indie music scene, street art, nightlife, and youth culture centered around Hongik University.
  • A. Nonhyeon-dong
    Nonhyeon-dong is a neighborhood in Seoul, South Korea, known for its mix of residential areas, commercial streets, and proximity to major business and shopping districts.
  • B. Daedeok-gu
    Daedeok-gu is a district in the city of Daejeon, South Korea, known for encompassing parts of the country’s major research and science complex.
  • C. Yangjeong-dong
    Yangjeong-dong is a neighborhood (dong) located within Busanjin District in the city of Busan, South Korea.
  • D. Hwamyeong-dong
    Hwamyeong-dong is a neighborhood in Busan, South Korea, known as a residential and commercial area within the city's urban landscape.
  • E. Dong-gu
    Dong-gu is a district-level administrative area within the metropolitan city of Daejeon in South Korea.
  • 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_69c008fdae24819081aa002ad99cd966 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c02034fc3081908920c52a19d462e1 completed March 22, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a139a20c819085f0f4b5105b3aef completed March 23, 2026, 2:11 a.m.
NEDg Description generation batch_69c0a1faf7d48190ad2d5f43ef37da82 completed March 23, 2026, 2:14 a.m.
NED2 Entity disambiguation (via description) batch_69c0a2e17cd88190a54f5166fe5c654a completed March 23, 2026, 2:18 a.m.
Created at: March 22, 2026, 3:36 p.m.