Triple

T6784171
Position Surface form Disambiguated ID Type / Status
Subject Ministry of Education of South Korea E155758 entity
Predicate shortName P43 FINISHED
Object MOE
MOE is the government ministry responsible for overseeing and administering the national education system in South Korea.
 E617788 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: MOE | Statement: [Ministry of Education of South Korea, shortName, MOE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MOE
Context triple: [Ministry of Education of South Korea, shortName, MOE]
  • A. MOE
    MOE is the common abbreviation for Japan’s Ministry of Education, the government body responsible for national education policy and administration.
  • B. MOE
    MOE is the Ministry of Education of the Republic of China (Taiwan), the government agency responsible for national education policy and administration.
  • C. moe.
    moe. is an American jam band known for its improvisational live performances, eclectic rock sound, and devoted fanbase within the jam-band scene.
  • D. MU
    MU is the IATA airline designator assigned to China Eastern Airlines, one of China’s major carriers.
  • E. MU
    MU is the commonly used abbreviation for the University of Missouri, a major public research university based in Columbia, Missouri.
  • 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: MOE
Triple: [Ministry of Education of South Korea, shortName, MOE]
Generated description
MOE is the government ministry responsible for overseeing and administering the national education system in South Korea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MOE
Target entity description: MOE is the government ministry responsible for overseeing and administering the national education system in South Korea.
  • A. MOE
    MOE is the common abbreviation for Japan’s Ministry of Education, the government body responsible for national education policy and administration.
  • B. MOE
    MOE is the Ministry of Education of the Republic of China (Taiwan), the government agency responsible for national education policy and administration.
  • C. moe.
    moe. is an American jam band known for its improvisational live performances, eclectic rock sound, and devoted fanbase within the jam-band scene.
  • D. MU
    MU is the IATA airline designator assigned to China Eastern Airlines, one of China’s major carriers.
  • E. MU
    MU is the commonly used abbreviation for the University of Missouri, a major public research university based in Columbia, Missouri.
  • 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_69c688162bf8819088b664b5c3b5be7a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d28bdc3c8190aa60616d89db66ed completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712d5557881909614819deb335534 completed March 27, 2026, 11:29 p.m.
NEDg Description generation batch_69c713c89a748190bd7bf280b82317f0 completed March 27, 2026, 11:33 p.m.
NED2 Entity disambiguation (via description) batch_69c714697330819082be2c9a871703f5 completed March 27, 2026, 11:36 p.m.
Created at: March 27, 2026, 2:14 p.m.