Triple

T6617733
Position Surface form Disambiguated ID Type / Status
Subject General Federation of Trade Unions of Korea E149595 entity
Predicate shortName P43 FINISHED
Object GFTUK
GFTUK is the abbreviated name of North Korea’s General Federation of Trade Unions, the state-controlled national trade union organization.
 E601072 NE FINISHED

How this triple was built (4 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: GFTUK | Statement: [General Federation of Trade Unions of Korea, shortName, GFTUK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GFTUK
Context triple: [General Federation of Trade Unions of Korea, shortName, GFTUK]
  • A. FF UK
    FF UK is the Faculty of Arts at Charles University in Prague, one of the oldest and largest humanities and social sciences faculties in Central Europe.
  • B. GUF
    GUF is the three-letter ISO 3166-1 alpha-3 country code assigned to French Guiana.
  • C. CAF UK
    CAF UK is the United Kingdom-based subsidiary of the Spanish rolling stock manufacturer CAF, responsible for supplying and maintaining trains and rail solutions in the UK market.
  • D. FTU
    FTU is a leading Vietnamese university renowned for its programs in economics, business, and international trade.
  • E. LCGFT
    LCGFT is the standard controlled vocabulary developed by the Library of Congress for describing the genre and form of library and archival materials.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: GFTUK
Triple: [General Federation of Trade Unions of Korea, shortName, GFTUK]
Generated description
GFTUK is the abbreviated name of North Korea’s General Federation of Trade Unions, the state-controlled national trade union organization.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GFTUK
Target entity description: GFTUK is the abbreviated name of North Korea’s General Federation of Trade Unions, the state-controlled national trade union organization.
  • A. FF UK
    FF UK is the Faculty of Arts at Charles University in Prague, one of the oldest and largest humanities and social sciences faculties in Central Europe.
  • B. GUF
    GUF is the three-letter ISO 3166-1 alpha-3 country code assigned to French Guiana.
  • C. CAF UK
    CAF UK is the United Kingdom-based subsidiary of the Spanish rolling stock manufacturer CAF, responsible for supplying and maintaining trains and rail solutions in the UK market.
  • D. FTU
    FTU is a leading Vietnamese university renowned for its programs in economics, business, and international trade.
  • E. LCGFT
    LCGFT is the standard controlled vocabulary developed by the Library of Congress for describing the genre and form of library and archival materials.
  • F. None of above. chosen

Provenance (5 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_69c687ed8a9c81908bb671717cb192ef completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af5b21348190b7f09045e9ec7d63 completed March 27, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbde37288190b1e65589aa09b676 completed March 27, 2026, 6:26 p.m.
NEDg Description generation batch_69c6cd89b51c81909ea17d391732630e completed March 27, 2026, 6:33 p.m.
NED2 Entity disambiguation (via description) batch_69c6ce70442c8190a12a6c6eb76c5269 completed March 27, 2026, 6:37 p.m.
Created at: March 27, 2026, 1:58 p.m.