Triple

T23527392
Position Surface form Disambiguated ID Type / Status
Subject Beijing Normal University E576469 entity
Predicate nativeName P15 FINISHED
Object 北京师范大学 NE NERFINISHED

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: 北京师范大学 | Statement: [Beijing Normal University, nativeName, 北京师范大学]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 北京师范大学
Context triple: [Beijing Normal University, nativeName, 北京师范大学]
  • A. 南开大学
    南开大学 is a prestigious comprehensive research university in Tianjin, China, renowned for its strong academic tradition and influential alumni.
  • B. Beijing Normal University chosen
    Beijing Normal University is a prestigious Chinese research university in Beijing, renowned for its strong programs in education and the humanities.
  • C. Beijing Foreign Studies University
    Beijing Foreign Studies University is a prestigious Chinese institution renowned for its specialized programs in foreign languages, international studies, and diplomacy.
  • D. Renmin University of China
    Renmin University of China is a prestigious Beijing-based research university renowned for its strengths in the humanities and social sciences.
  • E. Peking University
    Peking University is a leading Chinese research university in Beijing, renowned for its academic excellence, historical significance, and global influence.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245f5a8848190a2ba42e271c6c31f completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1ac74be1881909161b94aa611188a completed April 29, 2026, 7 a.m.
Created at: April 17, 2026, 6:09 p.m.