Triple

T9890588
Position Surface form Disambiguated ID Type / Status
Subject Liang Sicheng E181439 entity
Predicate employer P7 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: [Liang Sicheng, employer, Tsinghua University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tsinghua University
Context triple: [Liang Sicheng, employer, 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. Harbin Institute of Technology
    Harbin Institute of Technology is a leading Chinese research university renowned for its engineering, science, and technology programs and its role in the country's aerospace and defense industries.
  • 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_69ca8283a6708190801af7a25a7ebb9f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb47dfa908190884e96e5e5d6f41f completed April 2, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69e3e686db808190a2aa975a20e69696 completed April 18, 2026, 8:16 p.m.
Created at: March 30, 2026, 8:39 p.m.