Triple

T7173179
Position Surface form Disambiguated ID Type / Status
Subject Chonnam National University E167252 entity
Predicate shortName P43 FINISHED
Object CNU
CNU is the commonly used abbreviation for Chonnam National University, a major national research university in Gwangju, South Korea.
 E646718 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: [Chonnam National University, shortName, CNU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CNU
Context triple: [Chonnam National University, shortName, CNU]
  • A. 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.
  • B. CUN
    CUN is the IATA airport code for Cancún International Airport, a major gateway for international tourism to Mexico’s Caribbean coast.
  • C. 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.
  • D. CUA
    CUA is a joint MIT–Harvard research center focused on the study of ultracold atomic physics and quantum phenomena.
  • E. CUA
    CUA is the ICAO airline designator for China United Airlines, a Chinese domestic carrier based in Beijing.
  • 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: [Chonnam National University, shortName, CNU]
Generated description
CNU is the commonly used abbreviation for Chonnam National University, a major national research university in Gwangju, South Korea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CNU
Target entity description: CNU is the commonly used abbreviation for Chonnam National University, a major national research university in Gwangju, South Korea.
  • A. 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.
  • B. CUN
    CUN is the IATA airport code for Cancún International Airport, a major gateway for international tourism to Mexico’s Caribbean coast.
  • C. 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.
  • D. CUA
    CUA is a joint MIT–Harvard research center focused on the study of ultracold atomic physics and quantum phenomena.
  • E. CUA
    CUA is the ICAO airline designator for China United Airlines, a Chinese domestic carrier based in Beijing.
  • 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_69c68889a2748190a316c5e65360361a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e88c5b708190ab81622ea82c2d23 completed March 27, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b921b1e48190b25c1337f6187174 completed March 28, 2026, 11:18 a.m.
NEDg Description generation batch_69c7b9b0867081909be41ffb8b088e16 completed March 28, 2026, 11:21 a.m.
NED2 Entity disambiguation (via description) batch_69c7ba1a770c819085a25eb796312822 completed March 28, 2026, 11:23 a.m.
Created at: March 27, 2026, 2:48 p.m.