Triple

T2213201
Position Surface form Disambiguated ID Type / Status
Subject Peking University E50963 entity
Predicate shortName P43 FINISHED
Object Beida 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: Beida | Statement: [Peking University, shortName, Beida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beida
Context triple: [Peking University, shortName, Beida]
  • 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. 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.
  • D. Nanjing University
    Nanjing University is one of China’s oldest and most prestigious research universities, renowned for its strong academic programs and historical significance.
  • 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_69a88b06709c8190978fb2418470d1b6 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbfee6ae48190825ca792e8f99946 completed March 7, 2026, 6:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69b20f1577388190bc95b2151af55732 completed March 12, 2026, 12:55 a.m.
Created at: March 4, 2026, 7:46 p.m.