Triple

T7828290
Position Surface form Disambiguated ID Type / Status
Subject Korea Football Association E181300 entity
Predicate shortName P43 FINISHED
Object KFA
KFA is the commonly used abbreviation for the Korea Football Association, the governing body of football in South Korea.
 E695347 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: KFA | Statement: [Korea Football Association, shortName, KFA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KFA
Context triple: [Korea Football Association, shortName, KFA]
  • A. KAF
    KAF is the Kenya Air Force, the aerial warfare branch of the Kenya Defence Forces responsible for defending Kenyan airspace and providing air support to military operations.
  • B. AFA
    AFA is the Argentine Football Association, the main governing body responsible for organizing and regulating football in Argentina, including its national teams and professional leagues.
  • C. FAFC
    FAFC is the common abbreviation for Forfar Athletic Football Club, a Scottish professional football team based in the town of Forfar.
  • D. GFA
    GFA is the ICAO airline designator used for Gulf Air, the national carrier of Bahrain.
  • E. KUF
    KUF is the IATA airport code for Kurumoch International Airport serving the Samara region in Russia.
  • 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: KFA
Triple: [Korea Football Association, shortName, KFA]
Generated description
KFA is the commonly used abbreviation for the Korea Football Association, the governing body of football in South Korea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KFA
Target entity description: KFA is the commonly used abbreviation for the Korea Football Association, the governing body of football in South Korea.
  • A. KAF
    KAF is the Kenya Air Force, the aerial warfare branch of the Kenya Defence Forces responsible for defending Kenyan airspace and providing air support to military operations.
  • B. AFA
    AFA is the Argentine Football Association, the main governing body responsible for organizing and regulating football in Argentina, including its national teams and professional leagues.
  • C. FAFC
    FAFC is the common abbreviation for Forfar Athletic Football Club, a Scottish professional football team based in the town of Forfar.
  • D. GFA
    GFA is the ICAO airline designator used for Gulf Air, the national carrier of Bahrain.
  • E. KUF
    KUF is the IATA airport code for Kurumoch International Airport serving the Samara region in Russia.
  • 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_69ca8282ccec819083c48efb72d21cf9 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb04a97d748190b1924890b1328bf1 completed March 30, 2026, 11:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb14b60ea88190887cb33a484d0806 completed March 31, 2026, 12:26 a.m.
NEDg Description generation batch_69cb1734e5d88190a3d894199ee2fbfe completed March 31, 2026, 12:37 a.m.
NED2 Entity disambiguation (via description) batch_69cb1a6fc16c8190827593f58b9d742d completed March 31, 2026, 12:50 a.m.
Created at: March 30, 2026, 4:43 p.m.