Triple

T22852750
Position Surface form Disambiguated ID Type / Status
Subject East Coast of South Korea E566395 entity
Predicate hasMajorCity P316 FINISHED
Object Sokcho 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: Sokcho | Statement: [East Coast of South Korea, hasMajorCity, Sokcho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sokcho
Context triple: [East Coast of South Korea, hasMajorCity, Sokcho]
  • A. Sokcho chosen
    Sokcho is a coastal city in northeastern South Korea known for its beaches, seafood, and proximity to Seoraksan National Park.
  • B. Ungjin
    Ungjin was an ancient city in the Korean kingdom of Baekje that served as one of its historical capitals and a key political and cultural center.
  • C. Gangjin
    Gangjin is a coastal county and town in South Jeolla Province, South Korea, known for its historic celadon pottery kilns and scenic rural landscapes.
  • D. Soreang
    Soreang is a suburban district and the administrative center of Bandung Regency in West Java, Indonesia, situated within the greater Bandung metropolitan area.
  • E. Seogwipo
    Seogwipo is a coastal city on South Korea’s Jeju Island known for its waterfalls, volcanic landscapes, and popular tourist attractions.
  • 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_69e2458750b481908a8e4cf4609cc6cf completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17eb9a5b8819091cbb4ac42fbf778 completed April 29, 2026, 3:44 a.m.
Created at: April 17, 2026, 3:36 p.m.