Triple

T9466956
Position Surface form Disambiguated ID Type / Status
Subject MIT Institute for Data, Systems, and Society E228294 entity
Predicate offersProgram P178 FINISHED
Object Social and Engineering Systems PhD
The Social and Engineering Systems PhD is an interdisciplinary doctoral program at MIT that trains researchers to analyze and address complex societal challenges using quantitative methods, data science, and engineering systems approaches.
 E800857 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: Social and Engineering Systems PhD | Statement: [MIT Institute for Data, Systems, and Society, offersProgram, Social and Engineering Systems PhD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Social and Engineering Systems PhD
Context triple: [MIT Institute for Data, Systems, and Society, offersProgram, Social and Engineering Systems PhD]
  • A. Information Systems Engineering
    Information Systems Engineering is an academic and professional field focused on the design, development, integration, and management of complex information systems that support organizational and societal needs.
  • B. Master of Science in Information Technology – Privacy Engineering
    The Master of Science in Information Technology – Privacy Engineering is a specialized graduate program focused on training professionals to design, build, and manage systems and technologies that rigorously protect privacy and comply with data protection regulations.
  • C. Doctoral School on Safety and Security Sciences
    The Doctoral School on Safety and Security Sciences is a graduate research and training program at Óbuda University focused on advanced studies in safety, security, and risk management.
  • D. Master of Software Engineering – Scalable Systems
    The Master of Software Engineering – Scalable Systems is a specialized graduate program at Carnegie Mellon University focused on designing, building, and managing large-scale, high-performance software systems.
  • E. Computer Science and Engineering
    Computer Science and Engineering is an interdisciplinary field that combines principles of computer science and electrical engineering to design, analyze, and implement computing systems, software, and hardware.
  • 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: Social and Engineering Systems PhD
Triple: [MIT Institute for Data, Systems, and Society, offersProgram, Social and Engineering Systems PhD]
Generated description
The Social and Engineering Systems PhD is an interdisciplinary doctoral program at MIT that trains researchers to analyze and address complex societal challenges using quantitative methods, data science, and engineering systems approaches.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Social and Engineering Systems PhD
Target entity description: The Social and Engineering Systems PhD is an interdisciplinary doctoral program at MIT that trains researchers to analyze and address complex societal challenges using quantitative methods, data science, and engineering systems approaches.
  • A. Information Systems Engineering
    Information Systems Engineering is an academic and professional field focused on the design, development, integration, and management of complex information systems that support organizational and societal needs.
  • B. Master of Science in Information Technology – Privacy Engineering
    The Master of Science in Information Technology – Privacy Engineering is a specialized graduate program focused on training professionals to design, build, and manage systems and technologies that rigorously protect privacy and comply with data protection regulations.
  • C. Doctoral School on Safety and Security Sciences
    The Doctoral School on Safety and Security Sciences is a graduate research and training program at Óbuda University focused on advanced studies in safety, security, and risk management.
  • D. Master of Software Engineering – Scalable Systems
    The Master of Software Engineering – Scalable Systems is a specialized graduate program at Carnegie Mellon University focused on designing, building, and managing large-scale, high-performance software systems.
  • E. Computer Science and Engineering
    Computer Science and Engineering is an interdisciplinary field that combines principles of computer science and electrical engineering to design, analyze, and implement computing systems, software, and hardware.
  • 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_69ca846fee388190a6ec273fd644b88b completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fdd7d048190930a15cb2a2d99ea completed April 1, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d122ba3d948190a3fa947cd3cad63b completed April 4, 2026, 2:39 p.m.
NEDg Description generation batch_69d123bc10b88190bd8f5a543d32c788 completed April 4, 2026, 2:44 p.m.
NED2 Entity disambiguation (via description) batch_69d1243ba18881909c2adf7c0b4b93b8 completed April 4, 2026, 2:46 p.m.
Created at: March 30, 2026, 7:53 p.m.