Triple

T13477810
Position Surface form Disambiguated ID Type / Status
Subject Shandong Normal University E318293 entity
Predicate hasChineseName P4878 FINISHED
Object 山东师范大学 E318293 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: 山东师范大学 | Statement: [Shandong Normal University, hasChineseName, 山东师范大学]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 山东师范大学
Context triple: [Shandong Normal University, hasChineseName, 山东师范大学]
  • A. Shandong Normal University chosen
    Shandong Normal University is a comprehensive public university in Jinan, China, known for its strong teacher education programs and broad range of disciplines.
  • B. Qufu Normal University
    Qufu Normal University is a higher education institution in Qufu, China, known for its teacher education programs and cultural heritage linked to the hometown of Confucius.
  • C. 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.
  • D. Shandong University
    Shandong University is a major comprehensive public research university in China, renowned for its wide range of academic disciplines and long historical legacy.
  • E. 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.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf266c508190930d30776c09ce35 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f746318490819095a5697cc396eb6f completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:42 p.m.