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.