Triple

T4387630
Position Surface form Disambiguated ID Type / Status
Subject University of Trento E99283 entity
Predicate hasDepartment P35 FINISHED
Object Department of Civil, Environmental and Mechanical Engineering
The Department of Civil, Environmental and Mechanical Engineering is an academic unit at the University of Trento that focuses on education and research in structural, environmental, and mechanical engineering disciplines.
E435141 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, Environmental and Mechanical Engineering | Statement: [University of Trento, hasDepartment, Department of Civil, Environmental and Mechanical Engineering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Civil, Environmental and Mechanical Engineering
Context triple: [University of Trento, hasDepartment, Department of Civil, Environmental and Mechanical Engineering]
  • A. Department of Civil and Environmental Engineering
    The Department of Civil and Environmental Engineering is an academic unit at Rice University's George R. Brown School of Engineering that focuses on education and research in infrastructure, environmental systems, and sustainable engineering.
  • B. 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.
  • C. 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.
  • D. Department of Civil and Environmental Engineering
    The Department of Civil and Environmental Engineering is an academic unit that educates students and conducts research in areas such as infrastructure design, construction, and environmental protection within the Maseeh College of Engineering and Computer Science.
  • E. Department of Civil and Environmental Engineering
    The Department of Civil and Environmental Engineering at UC Berkeley is a leading academic department focused on advancing infrastructure, environmental sustainability, and resilient systems through education and research.
  • 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, Environmental and Mechanical Engineering
Triple: [University of Trento, hasDepartment, Department of Civil, Environmental and Mechanical Engineering]
Generated description
The Department of Civil, Environmental and Mechanical Engineering is an academic unit at the University of Trento that focuses on education and research in structural, environmental, and mechanical engineering disciplines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Civil, Environmental and Mechanical Engineering
Target entity description: The Department of Civil, Environmental and Mechanical Engineering is an academic unit at the University of Trento that focuses on education and research in structural, environmental, and mechanical engineering disciplines.
  • A. Department of Civil and Environmental Engineering
    The Department of Civil and Environmental Engineering is an academic unit at Rice University's George R. Brown School of Engineering that focuses on education and research in infrastructure, environmental systems, and sustainable engineering.
  • B. 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.
  • C. 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.
  • D. Department of Civil and Environmental Engineering
    The Department of Civil and Environmental Engineering at UC Berkeley is a leading academic department focused on advancing infrastructure, environmental sustainability, and resilient systems through education and research.
  • E. Department of Civil and Environmental Engineering
    The Department of Civil and Environmental Engineering is an academic unit that educates students and conducts research in areas such as infrastructure design, construction, and environmental protection within the Maseeh College of Engineering and Computer Science.
  • 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_69b3454f739481909ff6c28331f0c0b9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352804be88190ab188ac0dde1ac1e completed March 12, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e52a0488819081fe724d592d8fdf completed March 14, 2026, 10:46 p.m.
NEDg Description generation batch_69b5e619964081908193b4b40a940336 completed March 14, 2026, 10:50 p.m.
NED2 Entity disambiguation (via description) batch_69b5e681fa5c819084ec0e9092275754 completed March 14, 2026, 10:51 p.m.
Created at: March 12, 2026, 11:19 p.m.