Triple

T22780289
Position Surface form Disambiguated ID Type / Status
Subject Chung Sye-kyun as Prime Minister E563817 entity
Predicate previousPositionOfOfficeHolder P72167 FINISHED
Object Speaker of the National Assembly of South Korea LITERAL 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: Speaker of the National Assembly of South Korea | Statement: [Chung Sye-kyun as Prime Minister, previousPositionOfOfficeHolder, Speaker of the National Assembly of South Korea]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: previousPositionOfOfficeHolder
Context triple: [Chung Sye-kyun as Prime Minister, previousPositionOfOfficeHolder, Speaker of the National Assembly of South Korea]
  • A. previousOffice chosen
    Indicates that one office or position was held immediately before another in a sequence of offices.
  • B. officePreviouslyHeldBy
    Indicates that a particular office or position was formerly occupied by a specified person or entity.
  • C. previousOfficeHolderStartTime
    Indicates the date and time when the immediately preceding office holder first began their term in that office.
  • D. relativeOfPoliticalOfficeHolder
    Indicates that one entity is a family member or relative of another entity who holds or has held a political office.
  • E. hasFormerSeat
    Indicates that an entity previously held a particular seat, position, or place but no longer does so.
  • F. None of above.

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_69e2455500788190b4b33030461f3bbd completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17c2cab0881908df1d0629b43d350 completed April 29, 2026, 3:34 a.m.
PD Predicate disambiguation batch_69eed2c32e8c8190b73bb9965ed47d64 completed April 27, 2026, 3:06 a.m.
Created at: April 17, 2026, 3:28 p.m.