Triple

T6536040
Position Surface form Disambiguated ID Type / Status
Subject Korean Council for University Education E152365 entity
Predicate shortName P43 FINISHED
Object KCUE
KCUE is a representative association in South Korea that oversees and coordinates policies, standards, and collaboration among the nation’s universities.
 E605680 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: KCUE | Statement: [Korean Council for University Education, shortName, KCUE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KCUE
Context triple: [Korean Council for University Education, shortName, KCUE]
  • A. KCEW
    KCEW is the ICAO airport code for Bob Sikes Airport in Crestview, Florida, a public airport serving general aviation and regional air traffic.
  • B. KCIC
    KCIC is the ICAO airport code for Chico Municipal Airport in Chico, California.
  • C. KC
    KC is a common shorthand nickname for Kansas City, Missouri, a major Midwestern U.S. city known for its jazz heritage, barbecue, and sports teams.
  • D. KC
    KC is the vehicle registration code used on license plates for the district of Kronach in Upper Franconia, Germany.
  • E. QKE
    QKE is the IATA airport code for Kleine-Brogel Air Base, a military airfield in Belgium.
  • 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: KCUE
Triple: [Korean Council for University Education, shortName, KCUE]
Generated description
KCUE is a representative association in South Korea that oversees and coordinates policies, standards, and collaboration among the nation’s universities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KCUE
Target entity description: KCUE is a representative association in South Korea that oversees and coordinates policies, standards, and collaboration among the nation’s universities.
  • A. KCEW
    KCEW is the ICAO airport code for Bob Sikes Airport in Crestview, Florida, a public airport serving general aviation and regional air traffic.
  • B. KCIC
    KCIC is the ICAO airport code for Chico Municipal Airport in Chico, California.
  • C. KC
    KC is a common shorthand nickname for Kansas City, Missouri, a major Midwestern U.S. city known for its jazz heritage, barbecue, and sports teams.
  • D. KC
    KC is the vehicle registration code used on license plates for the district of Kronach in Upper Franconia, Germany.
  • E. QKE
    QKE is the IATA airport code for Kleine-Brogel Air Base, a military airfield in Belgium.
  • 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_69c688048ec8819093a47f7d332e12ec completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6adc238688190aca143b22b8a399c completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d532b5348190986cf30883ed147b completed March 27, 2026, 7:06 p.m.
NEDg Description generation batch_69c6d6dad26481908ac4bc0ed703091b completed March 27, 2026, 7:13 p.m.
NED2 Entity disambiguation (via description) batch_69c6d833d84c819083ffc81bda7d35d4 completed March 27, 2026, 7:19 p.m.
Created at: March 27, 2026, 1:46 p.m.