Triple

T1334775
Position Surface form Disambiguated ID Type / Status
Subject Pusan National University E28722 entity
Predicate shortName P43 FINISHED
Object PNU
PNU is a major national research university located in Busan, South Korea, known for its comprehensive academic programs and strong regional influence.
 E152361 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: PNU | Statement: [Pusan National University, shortName, PNU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PNU
Context triple: [Pusan National University, shortName, PNU]
  • A. PUC
    PUC is a top-level United States military unit award given for extraordinary heroism in action against an armed enemy.
  • B. PUC
    PUC is a leading Chilean higher education institution renowned for its academic excellence, research output, and strong Catholic tradition.
  • C. PSU
    PSU is a public research university located in downtown Portland, Oregon, known for its urban campus and emphasis on community engagement and sustainability.
  • D. PUM
    PUM is the stock ticker symbol for Puma, the German multinational sportswear and athletic footwear company.
  • E. UNP
    UNP is the stock ticker symbol for Union Pacific Corporation, one of the largest freight railroad companies in the United States.
  • 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: PNU
Triple: [Pusan National University, shortName, PNU]
Generated description
PNU is a major national research university located in Busan, South Korea, known for its comprehensive academic programs and strong regional influence.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PNU
Target entity description: PNU is a major national research university located in Busan, South Korea, known for its comprehensive academic programs and strong regional influence.
  • A. PUC
    PUC is a top-level United States military unit award given for extraordinary heroism in action against an armed enemy.
  • B. PUC
    PUC is a leading Chilean higher education institution renowned for its academic excellence, research output, and strong Catholic tradition.
  • C. PSU
    PSU is a public research university located in downtown Portland, Oregon, known for its urban campus and emphasis on community engagement and sustainability.
  • D. PUM
    PUM is the stock ticker symbol for Puma, the German multinational sportswear and athletic footwear company.
  • E. UNP
    UNP is the stock ticker symbol for Union Pacific Corporation, one of the largest freight railroad companies in the United States.
  • 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_69a498561a508190a3e1bc137c2b866a completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c1eb119881909dd5fbf728d9e8ba completed March 1, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbf3943f88190af908723f87e50e2 completed March 8, 2026, 12:13 a.m.
NEDg Description generation batch_69acc005f8c4819096ea4ea33e8294f9 completed March 8, 2026, 12:17 a.m.
NED2 Entity disambiguation (via description) batch_69acc0594f688190bc8a5badb29556bc completed March 8, 2026, 12:18 a.m.
Created at: March 1, 2026, 7:55 p.m.