Triple

T7453624
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Mathematical and Physical Sciences E172065 entity
Predicate hasPart P35 FINISHED
Object UCL Centre for Materials Discovery
The UCL Centre for Materials Discovery is a research centre at University College London focused on developing and characterising advanced materials through interdisciplinary collaboration.
E665201 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: UCL Centre for Materials Discovery | Statement: [Faculty of Mathematical and Physical Sciences, hasPart, UCL Centre for Materials Discovery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UCL Centre for Materials Discovery
Context triple: [Faculty of Mathematical and Physical Sciences, hasPart, UCL Centre for Materials Discovery]
  • A. Cambridge Engineering Design Centre
    The Cambridge Engineering Design Centre is a research and teaching centre at the University of Cambridge focused on advancing engineering design methods, tools, and practice across academia and industry.
  • B. Centre for Materials Science and Nanotechnology
    The Centre for Materials Science and Nanotechnology is a research and education institute focused on advanced materials, nanoscience, and nanotechnology.
  • C. UCL Institute for Sustainable Resources
    The UCL Institute for Sustainable Resources is a research institute at University College London focused on advancing sustainable use of global resources through interdisciplinary research, policy analysis, and education.
  • D. Centre for Nanotechnology
    The Centre for Nanotechnology is a specialized research hub at the Indian Institute of Technology Guwahati focused on advanced studies and innovation in nanoscience and nanotechnology.
  • E. Russell Berrie Nanotechnology Institute
    The Russell Berrie Nanotechnology Institute is a leading interdisciplinary research center at the Technion focused on advancing nanoscience and nanotechnology in fields such as materials, electronics, and biomedicine.
  • 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: UCL Centre for Materials Discovery
Triple: [Faculty of Mathematical and Physical Sciences, hasPart, UCL Centre for Materials Discovery]
Generated description
The UCL Centre for Materials Discovery is a research centre at University College London focused on developing and characterising advanced materials through interdisciplinary collaboration.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: UCL Centre for Materials Discovery
Target entity description: The UCL Centre for Materials Discovery is a research centre at University College London focused on developing and characterising advanced materials through interdisciplinary collaboration.
  • A. Cambridge Engineering Design Centre
    The Cambridge Engineering Design Centre is a research and teaching centre at the University of Cambridge focused on advancing engineering design methods, tools, and practice across academia and industry.
  • B. Centre for Materials Science and Nanotechnology
    The Centre for Materials Science and Nanotechnology is a research and education institute focused on advanced materials, nanoscience, and nanotechnology.
  • C. UCL Institute for Sustainable Resources
    The UCL Institute for Sustainable Resources is a research institute at University College London focused on advancing sustainable use of global resources through interdisciplinary research, policy analysis, and education.
  • D. Centre for Nanotechnology
    The Centre for Nanotechnology is a specialized research hub at the Indian Institute of Technology Guwahati focused on advanced studies and innovation in nanoscience and nanotechnology.
  • E. Russell Berrie Nanotechnology Institute
    The Russell Berrie Nanotechnology Institute is a leading interdisciplinary research center at the Technion focused on advancing nanoscience and nanotechnology in fields such as materials, electronics, and biomedicine.
  • 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_69c68a66554c8190add75c65942c0317 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f3ac5c2081908ab03f8bd4586f94 completed March 27, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c827bedc408190a9a77f293fb12762 completed March 28, 2026, 7:10 p.m.
NEDg Description generation batch_69c8290c62d0819080a1e1820364da88 completed March 28, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_69c82958eddc8190ad1697969241ec39 completed March 28, 2026, 7:17 p.m.
Created at: March 27, 2026, 3:14 p.m.