Triple

T2096966
Position Surface form Disambiguated ID Type / Status
Subject South China University of Technology E37003 entity
Predicate hasFaculty P141 FINISHED
Object 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.
 E233467 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 Environment and Energy | Statement: [South China University of Technology, hasFaculty, School of Environment and Energy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: School of Environment and Energy
Context triple: [South China University of Technology, hasFaculty, School of Environment and Energy]
  • A. School of Environmental Science and Engineering
    The School of Environmental Science and Engineering is an academic unit specializing in education and research on environmental protection, sustainable development, and related engineering solutions.
  • B. School of Environmental Science and Engineering
    The School of Environmental Science and Engineering is an academic unit of Sun Yat-sen University dedicated to education and research on environmental protection, pollution control, and sustainable development.
  • C. School of Environmental Science and Engineering
    The School of Environmental Science and Engineering is an academic unit of Tongji University specializing in education and research on environmental protection, sustainability, and related engineering disciplines.
  • D. School of Environment and Sustainability
    The School of Environment and Sustainability is an academic unit at the University of Saskatchewan focused on interdisciplinary research and graduate education in environmental science, sustainability, and resource management.
  • E. School of Natural and Built Environment
    The School of Natural and Built Environment is an academic unit at Queen’s University Belfast that focuses on disciplines such as architecture, planning, geography, and related environmental and construction fields.
  • 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 Environment and Energy
Triple: [South China University of Technology, hasFaculty, School of Environment and Energy]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: School of Environment and Energy
Target entity description: 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.
  • A. School of Environmental Science and Engineering
    The School of Environmental Science and Engineering is an academic unit specializing in education and research on environmental protection, sustainable development, and related engineering solutions.
  • B. School of Environmental Science and Engineering
    The School of Environmental Science and Engineering is an academic unit of Sun Yat-sen University dedicated to education and research on environmental protection, pollution control, and sustainable development.
  • C. School of Environmental Science and Engineering
    The School of Environmental Science and Engineering is an academic unit of Tongji University specializing in education and research on environmental protection, sustainability, and related engineering disciplines.
  • D. School of Environment and Sustainability
    The School of Environment and Sustainability is an academic unit at the University of Saskatchewan focused on interdisciplinary research and graduate education in environmental science, sustainability, and resource management.
  • E. School of Natural and Built Environment
    The School of Natural and Built Environment is an academic unit at Queen’s University Belfast that focuses on disciplines such as architecture, planning, geography, and related environmental and construction fields.
  • 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_69a8861828948190924aa30c08806b3a completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abba9cb84481909fe0a66c020b8864 completed March 7, 2026, 5:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae305eabc48190b6912e05833580d8 completed March 9, 2026, 2:28 a.m.
NEDg Description generation batch_69ae30f84d548190b2d99162471207a4 completed March 9, 2026, 2:31 a.m.
NED2 Entity disambiguation (via description) batch_69ae317473408190ad67374cfb82a7db completed March 9, 2026, 2:33 a.m.
Created at: March 4, 2026, 7:43 p.m.