Triple

T6810086
Position Surface form Disambiguated ID Type / Status
Subject Chungnam National University E156607 entity
Predicate shortName P43 FINISHED
Object CNU
CNU is a major national research university located in Daejeon, South Korea, known for its comprehensive academic programs and strong emphasis on science and technology.
 E620502 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: CNU | Statement: [Chungnam National University, shortName, CNU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CNU
Context triple: [Chungnam National University, shortName, CNU]
  • A. CUN
    CUN is the IATA airport code for Cancún International Airport, a major gateway for international tourism to Mexico’s Caribbean coast.
  • B. CNCS
    CNCS is the abbreviation for the Corporation for National and Community Service, the U.S. federal agency that supports national service programs like AmeriCorps and Senior Corps.
  • C. CUA
    CUA is a joint MIT–Harvard research center focused on the study of ultracold atomic physics and quantum phenomena.
  • D. CUA
    CUA is the ICAO airline designator for China United Airlines, a Chinese domestic carrier based in Beijing.
  • E. CBU
    CBU is a private Catholic university in Memphis, Tennessee, known for its strong programs in engineering, business, and the liberal arts.
  • 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: CNU
Triple: [Chungnam National University, shortName, CNU]
Generated description
CNU is a major national research university located in Daejeon, South Korea, known for its comprehensive academic programs and strong emphasis on science and technology.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CNU
Target entity description: CNU is a major national research university located in Daejeon, South Korea, known for its comprehensive academic programs and strong emphasis on science and technology.
  • A. CUN
    CUN is the IATA airport code for Cancún International Airport, a major gateway for international tourism to Mexico’s Caribbean coast.
  • B. CNCS
    CNCS is the abbreviation for the Corporation for National and Community Service, the U.S. federal agency that supports national service programs like AmeriCorps and Senior Corps.
  • C. CUA
    CUA is a joint MIT–Harvard research center focused on the study of ultracold atomic physics and quantum phenomena.
  • D. CUA
    CUA is the ICAO airline designator for China United Airlines, a Chinese domestic carrier based in Beijing.
  • E. CBU
    CBU is a private Catholic university in Memphis, Tennessee, known for its strong programs in engineering, business, and the liberal arts.
  • 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_69c68828b26c819090fe9df7612bbc27 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d30ded6481908fd64611607c610e completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71aa7dc3c81909ef422b5c51ae6be completed March 28, 2026, 12:02 a.m.
NEDg Description generation batch_69c71e7cd6448190845888760c677eda completed March 28, 2026, 12:19 a.m.
NED2 Entity disambiguation (via description) batch_69c71edd37048190bf4de088ad9f11de completed March 28, 2026, 12:20 a.m.
Created at: March 27, 2026, 2:16 p.m.