Triple

T2808821
Position Surface form Disambiguated ID Type / Status
Subject Li Keqiang E54117 entity
Predicate almaMater P5 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: [Li Keqiang, almaMater, Peking University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peking University
Context triple: [Li Keqiang, almaMater, 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_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde3165b48190a43be5e6ad23deca completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69b4c358374c819089e8c16d4115c409 completed March 14, 2026, 2:09 a.m.
Created at: March 6, 2026, 9:59 p.m.