Triple

T16712314
Position Surface form Disambiguated ID Type / Status
Subject Christopher Newport University E406137 entity
Predicate abbreviation P43 FINISHED
Object CNU
CNU is a public liberal arts university located in Newport News, Virginia, known for its strong undergraduate programs and emphasis on leadership and civic engagement.
E1229525 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: [Christopher Newport University, abbreviation, CNU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CNU
Context triple: [Christopher Newport University, abbreviation, 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. CNU
    CNU is the commonly used abbreviation for Chonnam National University, a major national research university in Gwangju, South Korea.
  • C. CNU
    CNU is a professional organization that promotes walkable, mixed-use neighborhood development and sustainable urban design principles.
  • D. CUN
    CUN is the IATA airport code for Cancún International Airport, a major gateway for international tourism to Mexico’s Caribbean coast.
  • E. CNCS
    CNCS is a French national museum dedicated to preserving and showcasing theatrical, opera, and ballet costumes and stage sets.
  • 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: [Christopher Newport University, abbreviation, CNU]
Generated description
CNU is a public liberal arts university located in Newport News, Virginia, known for its strong undergraduate programs and emphasis on leadership and civic engagement.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CNU
Target entity description: CNU is a public liberal arts university located in Newport News, Virginia, known for its strong undergraduate programs and emphasis on leadership and civic engagement.
  • 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. CNU
    CNU is the commonly used abbreviation for Chonnam National University, a major national research university in Gwangju, South Korea.
  • C. CNU
    CNU is a professional organization that promotes walkable, mixed-use neighborhood development and sustainable urban design principles.
  • D. CUN
    CUN is the IATA airport code for Cancún International Airport, a major gateway for international tourism to Mexico’s Caribbean coast.
  • E. 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.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e386530d9c8190b91ec3aac7dc2518 completed April 18, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091a95180819099abd50dd153e229 completed May 10, 2026, 2:09 p.m.
NEDg Description generation batch_6a00925fda608190b3674bd5e9ca6bf5 completed May 10, 2026, 2:12 p.m.
NED2 Entity disambiguation (via description) batch_6a00939075d88190a63cdd942eb3fea8 completed May 10, 2026, 2:17 p.m.
Created at: April 10, 2026, 5:20 a.m.