Triple

T2053733
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Engineering, Kyoto University E45626 entity
Predicate hasDepartment P35 FINISHED
Object Department of Civil Engineering
The Department of Civil Engineering at Kyoto University is an academic unit specializing in education and research on the planning, design, construction, and maintenance of infrastructure and the built environment.
E230504 NE FINISHED

How this triple was built (4 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: Department of Civil Engineering | Statement: [Faculty of Engineering, Kyoto University, hasDepartment, Department of Civil Engineering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Civil Engineering
Context triple: [Faculty of Engineering, Kyoto University, hasDepartment, Department of Civil Engineering]
  • A. Department of Civil Engineering
    The Department of Civil Engineering at McGill University is an academic unit that offers education and conducts research in areas such as structural, environmental, geotechnical, and transportation engineering.
  • B. Department of Civil Engineering
    The Department of Civil Engineering at the University of Tokyo is a leading academic and research unit focused on infrastructure, environmental systems, and urban and regional development.
  • C. Department of Civil Engineering
    The Department of Civil Engineering at Sharif University of Technology is a leading Iranian academic unit specializing in education and research across structural, geotechnical, transportation, and environmental engineering disciplines.
  • D. Department of Civil and Environmental Engineering
    The Department of Civil and Environmental Engineering is an academic unit specializing in infrastructure, environmental systems, and related engineering disciplines within the Grainger College of Engineering at the University of Illinois Urbana-Champaign.
  • E. Department of Civil and Environmental Engineering
    The Department of Civil and Environmental Engineering is an academic unit within Duke University's Pratt School of Engineering that focuses on education and research in infrastructure, environmental systems, and sustainable engineering.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Department of Civil Engineering
Triple: [Faculty of Engineering, Kyoto University, hasDepartment, Department of Civil Engineering]
Generated description
The Department of Civil Engineering at Kyoto University is an academic unit specializing in education and research on the planning, design, construction, and maintenance of infrastructure and the built environment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Civil Engineering
Target entity description: The Department of Civil Engineering at Kyoto University is an academic unit specializing in education and research on the planning, design, construction, and maintenance of infrastructure and the built environment.
  • A. Department of Civil Engineering
    The Department of Civil Engineering at McGill University is an academic unit that offers education and conducts research in areas such as structural, environmental, geotechnical, and transportation engineering.
  • B. Department of Civil Engineering
    The Department of Civil Engineering at the University of Tokyo is a leading academic and research unit focused on infrastructure, environmental systems, and urban and regional development.
  • C. Department of Civil Engineering
    The Department of Civil Engineering at Sharif University of Technology is a leading Iranian academic unit specializing in education and research across structural, geotechnical, transportation, and environmental engineering disciplines.
  • D. Department of Civil and Environmental Engineering
    The Department of Civil and Environmental Engineering is an academic unit specializing in infrastructure, environmental systems, and related engineering disciplines within the Grainger College of Engineering at the University of Illinois Urbana-Champaign.
  • E. Department of Civil and Environmental Engineering
    The Department of Civil and Environmental Engineering is an academic unit within Duke University's Pratt School of Engineering that focuses on education and research in infrastructure, environmental systems, and sustainable engineering.
  • F. None of above. chosen

Provenance (5 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_69a8891a19508190a12ef1e192308dcb completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb99196ec819096f491ac7732156a completed March 7, 2026, 5:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2719acbc819081705bc0449a5995 completed March 9, 2026, 1:49 a.m.
NEDg Description generation batch_69ae28275d148190aecf81bc7cc7cf3a completed March 9, 2026, 1:53 a.m.
NED2 Entity disambiguation (via description) batch_69ae2889503c8190bc72e786c656edf3 completed March 9, 2026, 1:55 a.m.
Created at: March 4, 2026, 7:39 p.m.