Triple

T2805865
Position Surface form Disambiguated ID Type / Status
Subject Seoul National University E54050 entity
Predicate nickname P55 FINISHED
Object SNU E54050 NE FINISHED

How this triple was built (2 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: SNU | Statement: [Seoul National University, nickname, SNU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SNU
Context triple: [Seoul National University, nickname, SNU]
  • A. Yonsei
    Yonsei are fourth-generation Japanese Americans, typically the great-grandchildren of Japanese immigrants to the United States.
  • B. Yonsei University
    Yonsei University is one of South Korea’s leading private research universities, renowned for its strong international programs and membership in prestigious global academic networks.
  • C. Seoul National University chosen
    Seoul National University is South Korea’s premier national research university, renowned for its highly competitive admissions and leading role in the country’s higher education and academic research.
  • D. Chosun University
    Chosun University is a major private research university in South Korea known for its comprehensive academic programs and regional influence.
  • E. Korea University
    Korea University is a leading private research university in Seoul, South Korea, renowned for its comprehensive academic programs and status as one of the country’s top institutions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde165a448190aa2728ec074daf88 completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc676d03081908986026dfe5fc852 completed March 10, 2026, 7:21 a.m.
Created at: March 6, 2026, 9:59 p.m.