Triple

T2568149
Position Surface form Disambiguated ID Type / Status
Subject Ministry of Education of the ROC E57599 entity
Predicate shortName P43 FINISHED
Object MOE
MOE is the Ministry of Education of the Republic of China (Taiwan), the government agency responsible for national education policy and administration.
 E279426 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 the ROC, shortName, MOE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MOE
Context triple: [Ministry of Education of the ROC, 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. MU
    MU is the IATA airline designator assigned to China Eastern Airlines, one of China’s major carriers.
  • C. MU
    MU is the commonly used abbreviation for the University of Missouri, a major public research university based in Columbia, Missouri.
  • D. MEEI
    MEEI is a renowned specialty hospital in Boston focused on ophthalmology and otolaryngology, affiliated with Harvard Medical School.
  • E. M.O.
    M.O. is a studio album by American rapper Nelly that showcases his blend of hip hop and pop-rap with numerous guest collaborations.
  • 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 the ROC, shortName, MOE]
Generated description
MOE is the Ministry of Education of the Republic of China (Taiwan), the government agency responsible for national education policy and administration.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MOE
Target entity description: MOE is the Ministry of Education of the Republic of China (Taiwan), the government agency responsible for national education policy and administration.
  • A. MOE
    MOE is the common abbreviation for Japan’s Ministry of Education, the government body responsible for national education policy and administration.
  • B. MU
    MU is the IATA airline designator assigned to China Eastern Airlines, one of China’s major carriers.
  • C. MU
    MU is the commonly used abbreviation for the University of Missouri, a major public research university based in Columbia, Missouri.
  • D. MEEI
    MEEI is a renowned specialty hospital in Boston focused on ophthalmology and otolaryngology, affiliated with Harvard Medical School.
  • E. M.O.
    M.O. is a studio album by American rapper Nelly that showcases his blend of hip hop and pop-rap with numerous guest collaborations.
  • 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_69ab4a51410081908501dcf8bad9adc4 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd36191848190b6255fa9029429bd completed March 7, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69af6569e38881908d1492277fe0c60c completed March 10, 2026, 12:27 a.m.
NEDg Description generation batch_69af67330d4c8190945b6ce8d20546ab completed March 10, 2026, 12:34 a.m.
NED2 Entity disambiguation (via description) batch_69af68c5ad9c8190bc5ef698963685b2 completed March 10, 2026, 12:41 a.m.
Created at: March 6, 2026, 9:48 p.m.