Triple
T168245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Earth, Atmospheric and Planetary Sciences |
E3061
|
entity |
| Predicate | collaboratesWith |
P37
|
FINISHED |
| Object |
MIT Department of Civil and Environmental Engineering
The MIT Department of Civil and Environmental Engineering is an academic department at the Massachusetts Institute of Technology focused on advancing infrastructure, environmental sustainability, and resilient systems through research and education in civil and environmental engineering.
|
E20979
|
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 Department of Civil and Environmental Engineering | Statement: [Department of Earth, Atmospheric and Planetary Sciences, collaboratesWith, MIT Department of Civil and Environmental Engineering]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MIT Department of Civil and Environmental Engineering Context triple: [Department of Earth, Atmospheric and Planetary Sciences, collaboratesWith, MIT Department of Civil and Environmental Engineering]
-
A.
Department of Civil and Environmental Engineering (Carnegie Mellon University)
The Department of Civil and Environmental Engineering at Carnegie Mellon University is an academic unit focused on education and research in sustainable infrastructure, environmental systems, and resilient built environments.
-
B.
MIT School of Engineering
The MIT School of Engineering is the largest and most renowned academic unit of the Massachusetts Institute of Technology, known globally for pioneering research and education in engineering and applied sciences.
-
C.
MIT Department of Electrical Engineering
The MIT Department of Electrical Engineering is a leading academic department at the Massachusetts Institute of Technology renowned for pioneering research and education in electrical engineering and related fields.
-
D.
MIT Engineers
The MIT Engineers are the varsity athletic teams representing the Massachusetts Institute of Technology in NCAA Division III competition.
-
E.
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.
- 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 Department of Civil and Environmental Engineering Triple: [Department of Earth, Atmospheric and Planetary Sciences, collaboratesWith, MIT Department of Civil and Environmental Engineering]
Generated description
The MIT Department of Civil and Environmental Engineering is an academic department at the Massachusetts Institute of Technology focused on advancing infrastructure, environmental sustainability, and resilient systems through research and education in civil and environmental engineering.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MIT Department of Civil and Environmental Engineering Target entity description: The MIT Department of Civil and Environmental Engineering is an academic department at the Massachusetts Institute of Technology focused on advancing infrastructure, environmental sustainability, and resilient systems through research and education in civil and environmental engineering.
-
A.
Department of Civil and Environmental Engineering (Carnegie Mellon University)
The Department of Civil and Environmental Engineering at Carnegie Mellon University is an academic unit focused on education and research in sustainable infrastructure, environmental systems, and resilient built environments.
-
B.
MIT School of Engineering
The MIT School of Engineering is the largest and most renowned academic unit of the Massachusetts Institute of Technology, known globally for pioneering research and education in engineering and applied sciences.
-
C.
MIT Department of Electrical Engineering
The MIT Department of Electrical Engineering is a leading academic department at the Massachusetts Institute of Technology renowned for pioneering research and education in electrical engineering and related fields.
-
D.
MIT Engineers
The MIT Engineers are the varsity athletic teams representing the Massachusetts Institute of Technology in NCAA Division III competition.
-
E.
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.
- 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_69a2524ce1e48190ab066bf72859f474 |
completed | Feb. 28, 2026, 2:26 a.m. |
| NER | Named-entity recognition | batch_69a258b58efc8190959c86f73d67b744 |
completed | Feb. 28, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2e0f8bf748190b2752f250a63d8e3 |
completed | Feb. 28, 2026, 12:35 p.m. |
| NEDg | Description generation | batch_69a2e16a3c088190a7ed30c60da89e6e |
completed | Feb. 28, 2026, 12:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2e2a9c8608190a65a4a3b80cd6970 |
completed | Feb. 28, 2026, 12:42 p.m. |
Created at: Feb. 28, 2026, 2:34 a.m.