Triple

T18411496
Position Surface form Disambiguated ID Type / Status
Subject 南方科技大学 E441768 entity
Predicate 简称 P36183 FINISHED
Object 南科大 — NE NERFINISHED

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: 南科大 | Statement: [南方科技大学, 简称, 南科大]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 南科大
Context triple: [南方科技大学, 简称, 南科大]
  • A. 南方科技大学 chosen
    南方科技大学是一所位于中国广东省深圳市、以理工科为主并致力于科研创新和国际化办学的新兴研究型大学。
  • B. Harbin Institute of Technology Shenzhen campus
    Harbin Institute of Technology Shenzhen campus is a major branch of the prestigious Harbin Institute of Technology, serving as a key research-oriented university campus in Shenzhen focused on engineering, science, and innovation.
  • C. 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.
  • D. 南开大学
    南开大学 is a prestigious comprehensive research university in Tianjin, China, renowned for its strong academic tradition and influential alumni.
  • E. Shenzhen MSU-BIT University
    Shenzhen MSU-BIT University is a Sino-Russian cooperative university in Shenzhen jointly established by Lomonosov Moscow State University and Beijing Institute of Technology, offering international higher education programs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9eb8a508190a942fd75ebd8b1dc completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51a24e130819082b92f98d8d5fa3c completed April 19, 2026, 6:08 p.m.
Created at: April 10, 2026, 10:47 a.m.