Triple

T21584748
Position Surface form Disambiguated ID Type / Status
Subject Blue House E532618 entity
Predicate openedToPublicBy P40976 FINISHED
Object President Yoon Suk-yeol — 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: President Yoon Suk-yeol | Statement: [Blue House, openedToPublicBy, President Yoon Suk-yeol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: President Yoon Suk-yeol
Context triple: [Blue House, openedToPublicBy, President Yoon Suk-yeol]
  • A. Yoon Suk-yeol chosen
    Yoon Suk-yeol is the President of South Korea, a former prosecutor known for his tough stance on corruption and conservative political views.
  • B. Moon Jae-in
    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.
  • C. John Kim
    John Kim is an Australian actor best known for his role as Ezekiel Jones in the fantasy-adventure television series "The Librarians."
  • D. John Kim
    John Kim is a prominent mechanical engineer and researcher renowned for his pioneering work in computational fluid dynamics and turbulence modeling.
  • E. 박근혜
    박근혜는 대한민국의 제18대 대통령으로, 한국 최초의 여성 대통령이자 박정희 전 대통령의 딸이다.
  • 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_69e0c4618bec8190bcb0feb74568cbb1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeeb5f2cc0819095552de70eb2ad8d completed April 27, 2026, 4:51 a.m.
Created at: April 16, 2026, 6:31 p.m.