Triple

T3197793
Position Surface form Disambiguated ID Type / Status
Subject Indian Institute of Technology Madras E66973 entity
Predicate hasCenter P35 FINISHED
Object Centre for NEMS and Nanophotonics
The Centre for NEMS and Nanophotonics is a specialized research hub at IIT Madras focused on advanced studies and innovation in nanoelectromechanical systems and nanophotonic technologies.
E336786 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: Centre for NEMS and Nanophotonics | Statement: [Indian Institute of Technology Madras, hasCenter, Centre for NEMS and Nanophotonics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Centre for NEMS and Nanophotonics
Context triple: [Indian Institute of Technology Madras, hasCenter, Centre for NEMS and Nanophotonics]
  • A. 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.
  • B. Center for Functional Nanomaterials
    The Center for Functional Nanomaterials is a U.S. Department of Energy user facility dedicated to research and development in nanoscience and nanotechnology, providing advanced tools and expertise for studying and engineering materials at the nanoscale.
  • C. Nanoscale Science Research Centers
    The Nanoscale Science Research Centers are a network of U.S. Department of Energy user facilities that provide advanced instrumentation and expertise for cutting-edge research in nanoscience and nanotechnology.
  • D. Harvard Center for Nanoscale Systems
    The Harvard Center for Nanoscale Systems is a Harvard University research facility that provides advanced tools and expertise for nanoscale science, engineering, and materials characterization.
  • E. Center for Nanoscale Materials
    The Center for Nanoscale Materials is a U.S. Department of Energy user facility specializing in cutting-edge research and instrumentation for nanoscience and nanotechnology.
  • 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: Centre for NEMS and Nanophotonics
Triple: [Indian Institute of Technology Madras, hasCenter, Centre for NEMS and Nanophotonics]
Generated description
The Centre for NEMS and Nanophotonics is a specialized research hub at IIT Madras focused on advanced studies and innovation in nanoelectromechanical systems and nanophotonic technologies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Centre for NEMS and Nanophotonics
Target entity description: The Centre for NEMS and Nanophotonics is a specialized research hub at IIT Madras focused on advanced studies and innovation in nanoelectromechanical systems and nanophotonic technologies.
  • A. 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.
  • B. Center for Functional Nanomaterials
    The Center for Functional Nanomaterials is a U.S. Department of Energy user facility dedicated to research and development in nanoscience and nanotechnology, providing advanced tools and expertise for studying and engineering materials at the nanoscale.
  • C. Nanoscale Science Research Centers
    The Nanoscale Science Research Centers are a network of U.S. Department of Energy user facilities that provide advanced instrumentation and expertise for cutting-edge research in nanoscience and nanotechnology.
  • D. Harvard Center for Nanoscale Systems
    The Harvard Center for Nanoscale Systems is a Harvard University research facility that provides advanced tools and expertise for nanoscale science, engineering, and materials characterization.
  • E. Center for Nanoscale Materials
    The Center for Nanoscale Materials is a U.S. Department of Energy user facility specializing in cutting-edge research and instrumentation for nanoscience and nanotechnology.
  • 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_69ad8588ba18819086a10951c32ecb80 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada7192994819084817307065a25e2 completed March 8, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24bb7cd488190ae95c140d9cda296 completed March 12, 2026, 5:14 a.m.
NEDg Description generation batch_69b24d39e77c8190818f71a3298852d7 completed March 12, 2026, 5:20 a.m.
NED2 Entity disambiguation (via description) batch_69b25178f3c08190be78bdbd0cdfc5f3 completed March 12, 2026, 5:39 a.m.
Created at: March 8, 2026, 3:07 p.m.