Triple

T9656275
Position Surface form Disambiguated ID Type / Status
Subject SCUT E233459 entity
Predicate nativeName P15 FINISHED
Object 华南理工大学 E37003 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: 华南理工大学 | Statement: [SCUT, nativeName, 华南理工大学]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 华南理工大学
Context triple: [SCUT, nativeName, 华南理工大学]
  • A. 南方科技大学
    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. South China University of Technology chosen
    South China University of Technology is a major national research university in Guangzhou, China, renowned for its strong engineering, science, and technology programs.
  • C. 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.
  • D. Jinan University
    Jinan University is a comprehensive public research university in Guangzhou, China, known for its strong emphasis on overseas Chinese education and international exchange.
  • E. Guangzhou North Campus
    Guangzhou North Campus is one of the main campuses of Sun Yat-sen University, located in the northern part of Guangzhou and hosting a range of academic and research facilities.
  • 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_69ca848c1ba88190b84b410cd14627fc completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9bdd5c0c8190a6c82a1609454d1b completed April 1, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a07444c819099d7462c38f6da49 completed April 4, 2026, 10 p.m.
Created at: March 30, 2026, 8:14 p.m.