Triple

T4060135
Position Surface form Disambiguated ID Type / Status
Subject Zhang Jun E86189 entity
Predicate educatedAt P5 FINISHED
Object Renmin University of China E445860 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: Renmin University of China | Statement: [Zhang Jun, educatedAt, Renmin University of China]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Renmin University of China
Context triple: [Zhang Jun, educatedAt, Renmin University of China]
  • A. Renmin University of China chosen
    Renmin University of China is a prestigious Beijing-based research university renowned for its strengths in the humanities and social sciences.
  • B. Peking University
    Peking University is a leading Chinese research university in Beijing, renowned for its academic excellence, historical significance, and global influence.
  • C. Beijing Language and Culture University
    Beijing Language and Culture University is a prominent Chinese institution in Beijing specializing in teaching Chinese language and culture to international students and conducting related linguistic and cultural research.
  • 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. 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.
  • 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_69aed93c69208190a4efac0efe3cd69b completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbd32c0c8190bc575974ccf831b3 completed March 9, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdb8f4eab88190b123aca20feb8d63 completed March 20, 2026, 9:15 p.m.
Created at: March 9, 2026, 3:38 p.m.