Triple

T810672
Position Surface form Disambiguated ID Type / Status
Subject Hefei E17536 entity
Predicate hasUniversity P113 FINISHED
Object University of Science and Technology of China E71932 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: University of Science and Technology of China | Statement: [Hefei, hasUniversity, University of Science and Technology of China]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: University of Science and Technology of China
Context triple: [Hefei, hasUniversity, University of Science and Technology of China]
  • A. University of Science and Technology of China chosen
    The University of Science and Technology of China is a leading Chinese research university renowned for its strengths in science and engineering and its affiliation with the Chinese Academy of Sciences.
  • 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. Huazhong University of Science and Technology
    Huazhong University of Science and Technology is a major comprehensive research university in China, renowned for its strengths in engineering, science, and medical disciplines.
  • E. Peking University
    Peking University is a leading Chinese research university in Beijing, renowned for its academic excellence, historical significance, and global influence.
  • 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_69a4937ae8a08190b5084a03d532b30e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab282fe48190a05ee97550843cd7 completed March 1, 2026, 9:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d8869888190a95857546dfae5b3 completed March 3, 2026, 11:23 p.m.
Created at: March 1, 2026, 7:38 p.m.