Triple

T2636881
Position Surface form Disambiguated ID Type / Status
Subject Chen Duxiu E59765 entity
Predicate employer P7 FINISHED
Object Peking University E50963 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: Peking University | Statement: [Chen Duxiu, employer, Peking University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peking University
Context triple: [Chen Duxiu, employer, Peking University]
  • A. Peking University chosen
    Peking University is a leading Chinese research university in Beijing, renowned for its academic excellence, historical significance, and global influence.
  • B. Tsinghua University
    Tsinghua University is a leading research-intensive university in Beijing, China, renowned for its strong engineering, science, and technology programs and its significant influence in Chinese higher education and innovation.
  • C. Nanjing University
    Nanjing University is one of China’s oldest and most prestigious research universities, renowned for its strong academic programs and historical significance.
  • D. Fudan University
    Fudan University is a prestigious and comprehensive research university in Shanghai, China, renowned for its strong academic programs and leading role in Chinese higher education.
  • E. East China Normal University
    East China Normal University is a leading comprehensive research university in Shanghai, China, renowned for its strengths in teacher education, the humanities, and the social sciences.
  • 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_69ab4ac8596c8190b34997e73d9e991c completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8e3190081908ea828fe79569cc9 completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69b2e803e994819085dae09224fae2a3 completed March 12, 2026, 4:21 p.m.
Created at: March 6, 2026, 9:50 p.m.