Triple

T17023320
Position Surface form Disambiguated ID Type / Status
Subject Chi Yufeng E412999 entity
Predicate educatedAt P5 FINISHED
Object Tsinghua University E55902 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: Tsinghua University | Statement: [Chi Yufeng, educatedAt, Tsinghua University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tsinghua University
Context triple: [Chi Yufeng, educatedAt, Tsinghua University]
  • A. Tsinghua University chosen
    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.
  • B. Peking University
    Peking University is a leading Chinese research university in Beijing, renowned for its academic excellence, historical significance, and global influence.
  • C. National Tsing Hua University
    National Tsing Hua University is a leading research-intensive university in Taiwan renowned for its strengths in science, engineering, and technology.
  • 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. Beijing Institute of Technology
    Beijing Institute of Technology is a leading public research university in Beijing, China, renowned for its strengths in engineering, science, and defense-related technologies.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d5d2abbc81908943becf5f539fc6 completed April 18, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01413a445c8190920fe385d3cd43f3 completed May 11, 2026, 2:38 a.m.
Created at: April 10, 2026, 5:33 a.m.