Triple

T22751562
Position Surface form Disambiguated ID Type / Status
Subject Hyehwa-dong E562713 entity
Predicate near P350 FINISHED
Object Daehangno NE NERFINISHED

How this triple was built (2 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: Daehangno | Statement: [Hyehwa-dong, near, Daehangno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daehangno
Context triple: [Hyehwa-dong, near, Daehangno]
  • A. Daehangno chosen
    Daehangno is a vibrant cultural and theater district in central Seoul, South Korea, known for its numerous playhouses, live performances, and youthful atmosphere.
  • B. Taepyeongno
    Taepyeongno is a major thoroughfare and business district in central Seoul, South Korea, known for its government buildings, corporate offices, and proximity to key civic landmarks.
  • C. Socheongdo
    Socheongdo is a small island in the Yellow Sea off the west coast of South Korea, known for its rugged coastline, fishing communities, and role as a remote outpost of Incheon’s Ongjin County.
  • D. Hanseong-bu
    Hanseong-bu is a historical Korean administrative district name referring to the capital area of Seoul during the late Joseon and early modern periods.
  • E. Hongje-dong
    Hongje-dong is a neighborhood in western Seoul, South Korea, known as a residential and commercial area within Seodaemun District.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24551ec7881909a9c924dbea155f6 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f179b9ac348190bff4dc470931f7e3 completed April 29, 2026, 3:23 a.m.
Created at: April 17, 2026, 3:24 p.m.