Triple

T16712411
Position Surface form Disambiguated ID Type / Status
Subject MIT Department of Mechanical Engineering E406139 entity
Predicate hasLaboratory P105 FINISHED
Object d'Arbeloff Laboratory for Information Systems and Technology
The d'Arbeloff Laboratory for Information Systems and Technology is an MIT research lab in the Department of Mechanical Engineering focused on advanced information systems, automation, and technology innovation.
E1229539 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: d'Arbeloff Laboratory for Information Systems and Technology | Statement: [MIT Department of Mechanical Engineering, hasLaboratory, d'Arbeloff Laboratory for Information Systems and Technology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: d'Arbeloff Laboratory for Information Systems and Technology
Context triple: [MIT Department of Mechanical Engineering, hasLaboratory, d'Arbeloff Laboratory for Information Systems and Technology]
  • A. Computer Science and Artificial Intelligence Laboratory (CSAIL)
    The Computer Science and Artificial Intelligence Laboratory (CSAIL) is MIT’s premier research lab for computer science, artificial intelligence, and related fields, known for pioneering work in areas such as robotics, machine learning, and systems.
  • B. 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.
  • C. MIT Research Laboratory of Electronics
    The MIT Research Laboratory of Electronics is a leading interdisciplinary research center at the Massachusetts Institute of Technology focused on advancing electronics, photonics, information science, and related technologies.
  • D. MIT Media Lab
    The MIT Media Lab is an interdisciplinary research laboratory at the Massachusetts Institute of Technology known for pioneering work at the intersection of technology, design, media, and human-computer interaction.
  • E. Draper Laboratory
    Draper Laboratory is a nonprofit research and development organization known for its pioneering work in guidance, navigation, and control systems and other advanced engineering technologies.
  • 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: d'Arbeloff Laboratory for Information Systems and Technology
Triple: [MIT Department of Mechanical Engineering, hasLaboratory, d'Arbeloff Laboratory for Information Systems and Technology]
Generated description
The d'Arbeloff Laboratory for Information Systems and Technology is an MIT research lab in the Department of Mechanical Engineering focused on advanced information systems, automation, and technology innovation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: d'Arbeloff Laboratory for Information Systems and Technology
Target entity description: The d'Arbeloff Laboratory for Information Systems and Technology is an MIT research lab in the Department of Mechanical Engineering focused on advanced information systems, automation, and technology innovation.
  • A. Computer Science and Artificial Intelligence Laboratory (CSAIL)
    The Computer Science and Artificial Intelligence Laboratory (CSAIL) is MIT’s premier research lab for computer science, artificial intelligence, and related fields, known for pioneering work in areas such as robotics, machine learning, and systems.
  • B. 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.
  • C. MIT Research Laboratory of Electronics
    The MIT Research Laboratory of Electronics is a leading interdisciplinary research center at the Massachusetts Institute of Technology focused on advancing electronics, photonics, information science, and related technologies.
  • D. MIT Media Lab
    The MIT Media Lab is an interdisciplinary research laboratory at the Massachusetts Institute of Technology known for pioneering work at the intersection of technology, design, media, and human-computer interaction.
  • E. Draper Laboratory
    Draper Laboratory is a nonprofit research and development organization known for its pioneering work in guidance, navigation, and control systems and other advanced engineering technologies.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e386530d9c8190b91ec3aac7dc2518 completed April 18, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091a95180819099abd50dd153e229 completed May 10, 2026, 2:09 p.m.
NEDg Description generation batch_6a00925fda608190b3674bd5e9ca6bf5 completed May 10, 2026, 2:12 p.m.
NED2 Entity disambiguation (via description) batch_6a00939075d88190a63cdd942eb3fea8 completed May 10, 2026, 2:17 p.m.
Created at: April 10, 2026, 5:20 a.m.