Triple

T1173587
Position Surface form Disambiguated ID Type / Status
Subject Korean Sport & Olympic Committee E24967 entity
Predicate shortName P43 FINISHED
Object KSOC
KSOC is the acronym for the Korean Sport & Olympic Committee, the national body responsible for overseeing Olympic and elite sports in South Korea.
 E133191 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: KSOC | Statement: [Korean Sport & Olympic Committee, shortName, KSOC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KSOC
Context triple: [Korean Sport & Olympic Committee, shortName, KSOC]
  • A. KSJC
    KSJC is the ICAO airport code for Norman Y. Mineta San Jose International Airport, a major commercial airport serving San Jose and California’s Silicon Valley.
  • B. KS
    KS is the standard two-letter postal abbreviation for the U.S. state of Kansas.
  • C. KSLC
    KSLC is the ICAO airport code for Salt Lake City International Airport, a major air transportation hub serving Salt Lake City, Utah.
  • D. SKC
    SKC is the commonly used abbreviation for Sporting Kansas City, a professional Major League Soccer club based in Kansas City.
  • E. SCO
    SCO is the official FIFA country code used to represent the Scotland national football team in international competitions and records.
  • 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: KSOC
Triple: [Korean Sport & Olympic Committee, shortName, KSOC]
Generated description
KSOC is the acronym for the Korean Sport & Olympic Committee, the national body responsible for overseeing Olympic and elite sports in South Korea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KSOC
Target entity description: KSOC is the acronym for the Korean Sport & Olympic Committee, the national body responsible for overseeing Olympic and elite sports in South Korea.
  • A. KSJC
    KSJC is the ICAO airport code for Norman Y. Mineta San Jose International Airport, a major commercial airport serving San Jose and California’s Silicon Valley.
  • B. KS
    KS is the standard two-letter postal abbreviation for the U.S. state of Kansas.
  • C. KSLC
    KSLC is the ICAO airport code for Salt Lake City International Airport, a major air transportation hub serving Salt Lake City, Utah.
  • D. SKC
    SKC is the commonly used abbreviation for Sporting Kansas City, a professional Major League Soccer club based in Kansas City.
  • E. SCO
    SCO is the official FIFA country code used to represent the Scotland national football team in international competitions and records.
  • 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_69a494082a7c819095004f423f294a64 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bcee38c881909c2fc73ba35f7253 completed March 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac668a135881909b885e2816ee8240 completed March 7, 2026, 5:55 p.m.
NEDg Description generation batch_69ac66fd58308190bb4cb09581d4a8de completed March 7, 2026, 5:57 p.m.
NED2 Entity disambiguation (via description) batch_69ac677e147081909d9f64884c443f82 completed March 7, 2026, 5:59 p.m.
Created at: March 1, 2026, 7:45 p.m.