Triple

T2663584
Position Surface form Disambiguated ID Type / Status
Subject Nanyang Technological University E54779 entity
Predicate hasResearchCentre P11730 FINISHED
Object Singapore Centre for Environmental Life Sciences Engineering
The Singapore Centre for Environmental Life Sciences Engineering is a research institute specializing in environmental microbiology and biofilm science, focusing on sustainable solutions for water, health, and urban ecosystems.
E286670 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: Singapore Centre for Environmental Life Sciences Engineering | Statement: [Nanyang Technological University, hasResearchCentre, Singapore Centre for Environmental Life Sciences Engineering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Singapore Centre for Environmental Life Sciences Engineering
Context triple: [Nanyang Technological University, hasResearchCentre, Singapore Centre for Environmental Life Sciences Engineering]
  • A. 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.
  • B. Institute of Environmental Sciences
    The Institute of Environmental Sciences is a graduate-level research and education center at Boğaziçi University focused on environmental science, technology, and policy.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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: Singapore Centre for Environmental Life Sciences Engineering
Triple: [Nanyang Technological University, hasResearchCentre, Singapore Centre for Environmental Life Sciences Engineering]
Generated description
The Singapore Centre for Environmental Life Sciences Engineering is a research institute specializing in environmental microbiology and biofilm science, focusing on sustainable solutions for water, health, and urban ecosystems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Singapore Centre for Environmental Life Sciences Engineering
Target entity description: The Singapore Centre for Environmental Life Sciences Engineering is a research institute specializing in environmental microbiology and biofilm science, focusing on sustainable solutions for water, health, and urban ecosystems.
  • A. 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.
  • B. Institute of Environmental Sciences
    The Institute of Environmental Sciences is a graduate-level research and education center at Boğaziçi University focused on environmental science, technology, and policy.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69ab49e028948190b97e01d73548b1d9 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd96b9f1c8190a8a9460ca88a9aaf completed March 7, 2026, 7:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98dc36d8819086fc739c324f0761 completed March 10, 2026, 4:06 a.m.
NEDg Description generation batch_69af9a14cda48190bd903495ce48a4f0 completed March 10, 2026, 4:12 a.m.
NED2 Entity disambiguation (via description) batch_69af9a7b27608190ba76048c4c8a4bae completed March 10, 2026, 4:13 a.m.
Created at: March 6, 2026, 9:54 p.m.