Triple

T23222733
Position Surface form Disambiguated ID Type / Status
Subject Yangzhou University E580935 entity
Predicate hasChineseName P4878 FINISHED
Object 扬州大学 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: 扬州大学 | Statement: [Yangzhou University, hasChineseName, 扬州大学]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 扬州大学
Context triple: [Yangzhou University, hasChineseName, 扬州大学]
  • A. Yangzhou University chosen
    Yangzhou University is a comprehensive public university in Yangzhou, Jiangsu Province, China, known for its strengths in agriculture, engineering, and teacher education.
  • B. Xuzhou campus
    Xuzhou campus is the main campus of the China University of Mining and Technology, located in Xuzhou, Jiangsu Province, China.
  • C. Nanjing Normal University
    Nanjing Normal University is a comprehensive public university in Nanjing, China, known for its strong teacher education programs and broad range of disciplines.
  • D. 西南大学
    西南大学 is a comprehensive national university in Chongqing, China, known for its strengths in teacher education, agriculture, and the humanities and social sciences.
  • E. Changzhou University
    Changzhou University is a comprehensive higher education institution located in Changzhou, Jiangsu Province, China, known for its strengths in engineering, applied sciences, and industry-oriented research.
  • 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_69e246043c48819089bae72c9a9c306c completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f1922a452c81909b48df157643f6bd completed April 29, 2026, 5:07 a.m.
Created at: April 17, 2026, 4:08 p.m.