Triple
T2058388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MIT Laboratory for Information and Decision Systems |
E45729
|
entity |
| Predicate | affiliatedWith |
P254
|
FINISHED |
| Object |
MIT Operations Research Center
The MIT Operations Research Center is an interdisciplinary research and education hub at MIT focused on applying advanced mathematical modeling, optimization, and data science to complex decision-making problems in industry, government, and society.
|
E45729
|
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: MIT Operations Research Center | Statement: [MIT Laboratory for Information and Decision Systems, affiliatedWith, MIT Operations Research Center]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MIT Operations Research Center Context triple: [MIT Laboratory for Information and Decision Systems, affiliatedWith, MIT Operations Research Center]
-
A.
Department of Industrial Engineering and Operations Research, UC Berkeley
The Department of Industrial Engineering and Operations Research at UC Berkeley is a leading academic department specializing in optimization, stochastic processes, data analytics, and systems engineering for complex decision-making in industry and society.
-
B.
MIT Corporation
The MIT Corporation is the governing board and legal entity of the Massachusetts Institute of Technology, responsible for overseeing its strategic direction, finances, and major institutional decisions.
-
C.
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.
-
D.
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.
-
E.
MIT Sloan School of Management
MIT Sloan School of Management is the business school of the Massachusetts Institute of Technology, renowned for its rigorous, analytically focused management education and research in innovation, finance, and entrepreneurship.
- 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: MIT Operations Research Center Triple: [MIT Laboratory for Information and Decision Systems, affiliatedWith, MIT Operations Research Center]
Generated description
The MIT Operations Research Center is an interdisciplinary research and education hub at MIT focused on applying advanced mathematical modeling, optimization, and data science to complex decision-making problems in industry, government, and society.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MIT Operations Research Center Target entity description: The MIT Operations Research Center is an interdisciplinary research and education hub at MIT focused on applying advanced mathematical modeling, optimization, and data science to complex decision-making problems in industry, government, and society.
-
A.
Department of Industrial Engineering and Operations Research, UC Berkeley
The Department of Industrial Engineering and Operations Research at UC Berkeley is a leading academic department specializing in optimization, stochastic processes, data analytics, and systems engineering for complex decision-making in industry and society.
-
B.
MIT Corporation
The MIT Corporation is the governing board and legal entity of the Massachusetts Institute of Technology, responsible for overseeing its strategic direction, finances, and major institutional decisions.
-
C.
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.
-
D.
MIT Laboratory for Information and Decision Systems
chosen
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.
-
E.
MIT Sloan School of Management
MIT Sloan School of Management is the business school of the Massachusetts Institute of Technology, renowned for its rigorous, analytically focused management education and research in innovation, finance, and entrepreneurship.
- F. None of above.
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_69a8891a19508190a12ef1e192308dcb |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9ae0130819089f7d62005466a45 |
completed | March 7, 2026, 5:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae2014da048190902b2a23574d34ef |
completed | March 9, 2026, 1:19 a.m. |
| NEDg | Description generation | batch_69ae20dff3c48190943a913c63247537 |
completed | March 9, 2026, 1:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae21465d048190a1ee3a52c96ee37d |
completed | March 9, 2026, 1:24 a.m. |
Created at: March 4, 2026, 7:40 p.m.