Triple

T19217605
Position Surface form Disambiguated ID Type / Status
Subject Guo Pei E480526 entity
Predicate education P5 FINISHED
Object Beijing Second Light Industry School — NE NERFINISHED

How this triple was built (3 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: Beijing Second Light Industry School | Statement: [Guo Pei, education, Beijing Second Light Industry School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Beijing Second Light Industry School
Context triple: [Guo Pei, education, Beijing Second Light Industry School]
  • A. Beijing Institute of Petrochemical Technology
    Beijing Institute of Petrochemical Technology is a specialized higher-education institution in Beijing focused on petrochemical engineering and related applied sciences.
  • B. Peiyang University
    Peiyang University was the original name of Tianjin University, one of China’s earliest and most prestigious modern higher education institutions.
  • C. Wangjing Campus
    Wangjing Campus is a branch of the Central Academy of Fine Arts in Beijing, known for hosting art and design education facilities in a modern urban setting.
  • D. Beijing University of Civil Engineering and Architecture Daxing campus
    Beijing University of Civil Engineering and Architecture Daxing campus is a branch campus of the specialized civil engineering and architecture university located in Beijing’s Daxing District, serving as a hub for engineering, architecture, and urban construction education and research.
  • E. Beijing Institute of Technology
    Beijing Institute of Technology is a leading public research university in Beijing, China, renowned for its strengths in engineering, science, and defense-related technologies.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Beijing Second Light Industry School
Target entity description: Beijing Second Light Industry School is a vocational and technical institution in Beijing known for training professionals in fields such as design and light industry, and for educating renowned fashion designer Guo Pei.
  • A. Beijing Institute of Petrochemical Technology
    Beijing Institute of Petrochemical Technology is a specialized higher-education institution in Beijing focused on petrochemical engineering and related applied sciences.
  • B. Peiyang University
    Peiyang University was the original name of Tianjin University, one of China’s earliest and most prestigious modern higher education institutions.
  • C. Wangjing Campus
    Wangjing Campus is a branch of the Central Academy of Fine Arts in Beijing, known for hosting art and design education facilities in a modern urban setting.
  • D. Beijing University of Civil Engineering and Architecture Daxing campus
    Beijing University of Civil Engineering and Architecture Daxing campus is a branch campus of the specialized civil engineering and architecture university located in Beijing’s Daxing District, serving as a hub for engineering, architecture, and urban construction education and research.
  • E. Beijing Institute of Technology
    Beijing Institute of Technology is a leading public research university in Beijing, China, renowned for its strengths in engineering, science, and defense-related technologies.
  • F. None of above. chosen

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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa3c552c8190b22844e5b7adfc50 completed April 20, 2026, 10:04 a.m.
Created at: April 10, 2026, 1:23 p.m.