Triple

T7067166
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Science and Engineering (Anglia Ruskin University) E164582 entity
Predicate hasPart P35 FINISHED
Object Department of Civil Engineering
The Department of Civil Engineering is an academic unit within Anglia Ruskin University's Faculty of Science and Engineering that focuses on education and research in the planning, design, construction, and maintenance of infrastructure and the built environment.
E642285 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 Science and Engineering (Anglia Ruskin University), hasPart, 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 Science and Engineering (Anglia Ruskin University), hasPart, Department of Civil Engineering]
  • A. 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.
  • B. 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.
  • C. Department of Civil Engineering
    The Department of Civil Engineering at the Indian Institute of Technology Guwahati is an academic and research unit focused on educating engineers and advancing knowledge in areas such as structural, geotechnical, transportation, environmental, and water resources engineering.
  • D. Department of Civil Engineering
    The Department of Civil Engineering at IIT Kharagpur is a leading academic and research unit in India focused on education and innovation in structural, geotechnical, transportation, environmental, and water resources engineering.
  • E. Department of Civil Engineering
    The Department of Civil Engineering is an academic unit at Chittagong University of Engineering and Technology that focuses on education and research in areas such as structural, geotechnical, transportation, environmental, and water resources 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 Science and Engineering (Anglia Ruskin University), hasPart, Department of Civil Engineering]
Generated description
The Department of Civil Engineering is an academic unit within Anglia Ruskin University's Faculty of Science and Engineering that focuses on education and research in 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 is an academic unit within Anglia Ruskin University's Faculty of Science and Engineering that focuses on education and research in the planning, design, construction, and maintenance of infrastructure and the built environment.
  • A. Department of Civil Engineering
    The Department of Civil Engineering is an academic unit specializing in the education and research of civil infrastructure design, construction, and maintenance.
  • B. Department of Civil Engineering
    The Department of Civil Engineering is an academic unit within the Schulich School of Engineering that focuses on education and research in the planning, design, construction, and maintenance of infrastructure and the built environment.
  • C. Department of Civil Engineering
    The Department of Civil Engineering is an academic unit at Harcourt Butler Technical University that focuses on education and research in planning, designing, constructing, and maintaining infrastructure and the built environment.
  • D. Department of Civil Engineering
    The Department of Civil Engineering is an academic unit specializing in the education and research of infrastructure design, construction, and maintenance within Konya Technical University.
  • E. Department of Civil Engineering
    The Department of Civil Engineering is an academic unit specializing in the education and research of infrastructure design, construction, and maintenance within the Manipal Institute of Technology.
  • 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_69c6887b96548190a8a9b3ac8adf4119 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4a737dc8190add7f0228cb28111 completed March 27, 2026, 8:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79c880dc08190813bd9bac580530a completed March 28, 2026, 9:16 a.m.
NEDg Description generation batch_69c79d72dd70819084a4bf7e72865ed9 completed March 28, 2026, 9:20 a.m.
NED2 Entity disambiguation (via description) batch_69c79e12a40c8190b21128e17c3e212e completed March 28, 2026, 9:23 a.m.
Created at: March 27, 2026, 2:39 p.m.