Triple

T14825529
Position Surface form Disambiguated ID Type / Status
Subject Congress for the New Urbanism E348560 entity
Predicate abbreviation P43 FINISHED
Object CNU
CNU is a professional organization that promotes walkable, mixed-use neighborhood development and sustainable urban design principles.
 E1122693 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: [Congress for the New Urbanism, abbreviation, CNU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CNU
Context triple: [Congress for the New Urbanism, 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. CUN
    CUN is the IATA airport code for Cancún International Airport, a major gateway for international tourism to Mexico’s Caribbean coast.
  • D. CNCS
    CNCS is a French national museum dedicated to preserving and showcasing theatrical, opera, and ballet costumes and stage sets.
  • 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
  • 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: [Congress for the New Urbanism, abbreviation, CNU]
Generated description
CNU is a professional organization that promotes walkable, mixed-use neighborhood development and sustainable urban design principles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CNU
Target entity description: CNU is a professional organization that promotes walkable, mixed-use neighborhood development and sustainable urban design principles.
  • 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. CUN
    CUN is the IATA airport code for Cancún International Airport, a major gateway for international tourism to Mexico’s Caribbean coast.
  • D. CNCS
    CNCS is a French national museum dedicated to preserving and showcasing theatrical, opera, and ballet costumes and stage sets.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded0713700819097bbb0352650984b completed April 14, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe389f48cc819089d860f0208dd465 completed May 8, 2026, 7:25 p.m.
NEDg Description generation batch_69fe3a2167348190bb428c7f23ec9748 completed May 8, 2026, 7:31 p.m.
NED2 Entity disambiguation (via description) batch_69fe3aee9d248190b202c7252f290f38 completed May 8, 2026, 7:35 p.m.
Created at: April 10, 2026, 1:51 a.m.