Triple

T1696156
Position Surface form Disambiguated ID Type / Status
Subject Sun Yat-sen University E36662 entity
Predicate nativeName P15 FINISHED
Object 中山大学 E36662 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: 中山大学 | Statement: [Sun Yat-sen University, nativeName, 中山大学]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 中山大学
Context triple: [Sun Yat-sen University, nativeName, 中山大学]
  • A. Sun Yat-sen University chosen
    Sun Yat-sen University is a major comprehensive public research university in China, renowned for its strong academic programs and historical significance in southern China.
  • B. Shenzhen University
    Shenzhen University is a comprehensive public university in Shenzhen, China, known for its rapid development, strong ties to the tech industry, and emphasis on innovation and applied research.
  • C. South China University of Technology
    South China University of Technology is a major national research university in Guangzhou, China, renowned for its strong engineering, science, and technology programs.
  • D. Peking University
    Peking University is a leading Chinese research university in Beijing, renowned for its academic excellence, historical significance, and global influence.
  • E. Zhongnan University of Economics and Law
    Zhongnan University of Economics and Law is a prominent Chinese higher education institution specializing in economics, finance, law, and related 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_69a886163dec8190859c514232a37a05 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62b645a081909dafdf7a32f2a389 completed March 6, 2026, 5:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad799ad838819087e945f47284a3b0 completed March 8, 2026, 1:28 p.m.
Created at: March 4, 2026, 7:30 p.m.