Triple

T16402955
Position Surface form Disambiguated ID Type / Status
Subject City University of Hong Kong E398344 entity
Predicate hasFaculty P141 FINISHED
Object School of Energy and Environment
The School of Energy and Environment is an academic unit at City University of Hong Kong focused on education and research in sustainable energy, environmental science, and related technologies.
E1211681 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: School of Energy and Environment | Statement: [City University of Hong Kong, hasFaculty, School of Energy and Environment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: School of Energy and Environment
Context triple: [City University of Hong Kong, hasFaculty, School of Energy and Environment]
  • A. School of Environment and Energy
    The School of Environment and Energy is an academic unit of South China University of Technology focused on education and research in environmental science, engineering, and sustainable energy technologies.
  • B. Faculty of Environmental Engineering and Energy
    The Faculty of Environmental Engineering and Energy is an academic unit of Poznań University of Technology focused on education and research in sustainable environmental technologies and energy systems.
  • C. School of Energy, Environment and Natural Resources
    The School of Energy, Environment and Natural Resources is an academic unit of Madurai Kamaraj University focused on education and research in sustainable energy, environmental science, and natural resource management.
  • D. School of Sustainable Energy Engineering
    The School of Sustainable Energy Engineering is an academic unit focused on educating engineers and conducting research in clean, renewable, and energy-efficient technologies and systems.
  • E. Energy and Environment Institute
    The Energy and Environment Institute is a research center at the University of Hull focused on addressing environmental challenges and advancing sustainable energy solutions.
  • 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: School of Energy and Environment
Triple: [City University of Hong Kong, hasFaculty, School of Energy and Environment]
Generated description
The School of Energy and Environment is an academic unit at City University of Hong Kong focused on education and research in sustainable energy, environmental science, and related technologies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: School of Energy and Environment
Target entity description: The School of Energy and Environment is an academic unit at City University of Hong Kong focused on education and research in sustainable energy, environmental science, and related technologies.
  • A. School of Environment and Energy
    The School of Environment and Energy is an academic unit of South China University of Technology focused on education and research in environmental science, engineering, and sustainable energy technologies.
  • B. Faculty of Environmental Engineering and Energy
    The Faculty of Environmental Engineering and Energy is an academic unit of Poznań University of Technology focused on education and research in sustainable environmental technologies and energy systems.
  • C. School of Energy, Environment and Natural Resources
    The School of Energy, Environment and Natural Resources is an academic unit of Madurai Kamaraj University focused on education and research in sustainable energy, environmental science, and natural resource management.
  • D. School of Sustainable Energy Engineering
    The School of Sustainable Energy Engineering is an academic unit focused on educating engineers and conducting research in clean, renewable, and energy-efficient technologies and systems.
  • E. Energy and Environment Institute
    The Energy and Environment Institute is a research center at the University of Hull focused on addressing environmental challenges and advancing sustainable energy solutions.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e327d12dc08190a5b497692b667ed7 completed April 18, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c6094e481909aa7402fd17fedae completed May 10, 2026, 8:05 a.m.
NEDg Description generation batch_6a003dd7e9d481908822da391112eb39 completed May 10, 2026, 8:12 a.m.
NED2 Entity disambiguation (via description) batch_6a003eb6aa748190b0c8866af405794a completed May 10, 2026, 8:15 a.m.
Created at: April 10, 2026, 5:09 a.m.