Triple

T4831216
Position Surface form Disambiguated ID Type / Status
Subject Joint Security Area E107948 entity
Predicate visitedBy P1096 FINISHED
Object Moon Jae-in E133201 NE FINISHED

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: Moon Jae-in | Statement: [Joint Security Area, visitedBy, Moon Jae-in]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moon Jae-in
Context triple: [Joint Security Area, visitedBy, Moon Jae-in]
  • A. Moon Jae-in chosen
    Moon Jae-in is a South Korean politician and former human rights lawyer who served as the President of South Korea from 2017 to 2022.
  • B. John Kim
    John Kim is an Australian actor best known for his role as Ezekiel Jones in the fantasy-adventure television series "The Librarians."
  • C. John Kim
    John Kim is a prominent mechanical engineer and researcher renowned for his pioneering work in computational fluid dynamics and turbulence modeling.
  • D. 손기정
    손기정은 1936년 베를린 올림픽 마라톤에서 우승한 한국인 선수로, 일제강점기 조선인의 민족적 자긍심을 상징하는 인물이다.
  • E. Park Geun-hye
    Park Geun-hye is a South Korean politician who served as the country’s first female president from 2013 until her impeachment and removal from office in 2017.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd43fac8188190803f0327190621e4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6cc7c0148190a3147d5ff304ffb2 completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4dd4224c8190be7568bb611f81a3 completed March 21, 2026, 7:50 a.m.
Created at: March 20, 2026, 1:24 p.m.