Triple

T1871138
Position Surface form Disambiguated ID Type / Status
Subject Hanoi University of Science and Technology E39036 entity
Predicate hasFaculty P141 FINISHED
Object 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.
E208962 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 Environmental Science and Engineering | Statement: [Hanoi University of Science and Technology, hasFaculty, School of Environmental Science and Engineering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: School of Environmental Science and Engineering
Context triple: [Hanoi University of Science and Technology, hasFaculty, School of Environmental Science and Engineering]
  • A. 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.
  • B. 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.
  • C. Graduate School of Environmental Science
    The Graduate School of Environmental Science is a specialized graduate division of Hokkaido University focused on advanced research and education in environmental science and related interdisciplinary fields.
  • D. Faculty of Civil and Environmental Engineering
    The Faculty of Civil and Environmental Engineering is an academic division of Amirkabir University of Technology specializing in education and research on infrastructure, construction, and environmental systems.
  • E. School of Resources and Environmental Science
    The School of Resources and Environmental Science is a specialized academic unit of Wuhan University focused on education and research in natural resources management, environmental science, and related interdisciplinary 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 Environmental Science and Engineering
Triple: [Hanoi University of Science and Technology, hasFaculty, School of Environmental Science and Engineering]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: School of Environmental Science and Engineering
Target entity description: 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.
  • A. 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.
  • B. 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.
  • C. Graduate School of Environmental Science
    The Graduate School of Environmental Science is a specialized graduate division of Hokkaido University focused on advanced research and education in environmental science and related interdisciplinary fields.
  • D. Faculty of Civil and Environmental Engineering
    The Faculty of Civil and Environmental Engineering is an academic division of Amirkabir University of Technology specializing in education and research on infrastructure, construction, and environmental systems.
  • E. School of Resources and Environmental Science
    The School of Resources and Environmental Science is a specialized academic unit of Wuhan University focused on education and research in natural resources management, environmental science, and related interdisciplinary 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_69a8862f7074819096afe7fe65e179e9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0ba90e08190b990875d6e8e7e4a completed March 7, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1dd2d748190976277ac25f938ee completed March 8, 2026, 7:45 p.m.
NEDg Description generation batch_69add4628ed081908ea939b95e005299 completed March 8, 2026, 7:56 p.m.
NED2 Entity disambiguation (via description) batch_69add4e97dd08190a091d3d265b39138 completed March 8, 2026, 7:58 p.m.
Created at: March 4, 2026, 7:34 p.m.