Triple

T14284317
Position Surface form Disambiguated ID Type / Status
Subject Department of Mechanical Engineering, Johns Hopkins University E354128 entity
Predicate collaboratesWith P37 FINISHED
Object Laboratory for Computational Sensing and Robotics
The Laboratory for Computational Sensing and Robotics is a Johns Hopkins University research center focused on advancing robotics, computer vision, and sensing technologies for applications in medicine, industry, and autonomous systems.
E1090654 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: Laboratory for Computational Sensing and Robotics | Statement: [Department of Mechanical Engineering, Johns Hopkins University, collaboratesWith, Laboratory for Computational Sensing and Robotics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laboratory for Computational Sensing and Robotics
Context triple: [Department of Mechanical Engineering, Johns Hopkins University, collaboratesWith, Laboratory for Computational Sensing and Robotics]
  • A. General Robotics, Automation, Sensing and Perception Laboratory
    The General Robotics, Automation, Sensing and Perception Laboratory is a leading University of Pennsylvania research lab focused on advancing robotics, computer vision, automation, and related fields.
  • B. Field Robotics Center at Carnegie Mellon University
    The Field Robotics Center at Carnegie Mellon University is a leading research institute specializing in the development of advanced autonomous robots for challenging and unstructured environments such as space, deep sea, and disaster zones.
  • C. Center for Humans and Machines
    The Center for Humans and Machines is a research unit that studies the interactions between humans and intelligent technologies, focusing on how digitalization and AI shape individual behavior and society.
  • D. Institute for Robotics and Intelligent Machines
    The Institute for Robotics and Intelligent Machines is a research center focused on advancing robotics, artificial intelligence, and autonomous systems through interdisciplinary collaboration.
  • E. MIT Laboratory for Information and Decision Systems
    The MIT Laboratory for Information and Decision Systems is a research laboratory at the Massachusetts Institute of Technology focused on advancing the theory and applications of systems, control, communications, and data science.
  • 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: Laboratory for Computational Sensing and Robotics
Triple: [Department of Mechanical Engineering, Johns Hopkins University, collaboratesWith, Laboratory for Computational Sensing and Robotics]
Generated description
The Laboratory for Computational Sensing and Robotics is a Johns Hopkins University research center focused on advancing robotics, computer vision, and sensing technologies for applications in medicine, industry, and autonomous systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Laboratory for Computational Sensing and Robotics
Target entity description: The Laboratory for Computational Sensing and Robotics is a Johns Hopkins University research center focused on advancing robotics, computer vision, and sensing technologies for applications in medicine, industry, and autonomous systems.
  • A. General Robotics, Automation, Sensing and Perception Laboratory
    The General Robotics, Automation, Sensing and Perception Laboratory is a leading University of Pennsylvania research lab focused on advancing robotics, computer vision, automation, and related fields.
  • B. Field Robotics Center at Carnegie Mellon University
    The Field Robotics Center at Carnegie Mellon University is a leading research institute specializing in the development of advanced autonomous robots for challenging and unstructured environments such as space, deep sea, and disaster zones.
  • C. Center for Humans and Machines
    The Center for Humans and Machines is a research unit that studies the interactions between humans and intelligent technologies, focusing on how digitalization and AI shape individual behavior and society.
  • D. Institute for Robotics and Intelligent Machines
    The Institute for Robotics and Intelligent Machines is a research center focused on advancing robotics, artificial intelligence, and autonomous systems through interdisciplinary collaboration.
  • E. MIT Laboratory for Information and Decision Systems
    The MIT Laboratory for Information and Decision Systems is a research laboratory at the Massachusetts Institute of Technology focused on advancing the theory and applications of systems, control, communications, and data science.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de697d9fd08190b0cd7a6a6737ba03 completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d1a6d8081908e857143c0c809c0 completed May 8, 2026, 1:32 a.m.
NEDg Description generation batch_69fd3da6f0648190876dd86dd51e72cc completed May 8, 2026, 1:34 a.m.
NED2 Entity disambiguation (via description) batch_69fd3e30868481908b55b368ab45c7fb completed May 8, 2026, 1:36 a.m.
Created at: April 10, 2026, 1:10 a.m.