Triple
T272231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canada CIFAR AI Chair |
E5657
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object |
Alberta Machine Intelligence Institute
The Alberta Machine Intelligence Institute (Amii) is a leading Canadian research institute and innovation hub focused on advancing artificial intelligence and machine learning through academic research, industry collaboration, and talent development.
|
E36204
|
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: Alberta Machine Intelligence Institute | Statement: [Canada CIFAR AI Chair, associatedWith, Alberta Machine Intelligence Institute]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alberta Machine Intelligence Institute Context triple: [Canada CIFAR AI Chair, associatedWith, Alberta Machine Intelligence Institute]
-
A.
Vector Institute for Artificial Intelligence
The Vector Institute for Artificial Intelligence is a Toronto-based research institute focused on advancing cutting-edge AI and machine learning, known for its association with leading researchers such as Geoffrey Hinton.
-
B.
Bahen Centre for Information Technology
The Bahen Centre for Information Technology is a major academic and research facility at the University of Toronto that houses computer science, engineering, and information technology programs.
-
C.
Canada CIFAR AI Chair
The Canada CIFAR AI Chair is a prestigious research position within Canada’s national AI strategy, supporting leading artificial intelligence scientists to advance foundational and applied AI research.
-
D.
Mila – Quebec Artificial Intelligence Institute
Mila – Quebec Artificial Intelligence Institute is a leading Montreal-based research center specializing in artificial intelligence and machine learning, renowned for its pioneering academic and industrial collaborations.
-
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: Alberta Machine Intelligence Institute Triple: [Canada CIFAR AI Chair, associatedWith, Alberta Machine Intelligence Institute]
Generated description
The Alberta Machine Intelligence Institute (Amii) is a leading Canadian research institute and innovation hub focused on advancing artificial intelligence and machine learning through academic research, industry collaboration, and talent development.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alberta Machine Intelligence Institute Target entity description: The Alberta Machine Intelligence Institute (Amii) is a leading Canadian research institute and innovation hub focused on advancing artificial intelligence and machine learning through academic research, industry collaboration, and talent development.
-
A.
Vector Institute for Artificial Intelligence
The Vector Institute for Artificial Intelligence is a Toronto-based research institute focused on advancing cutting-edge AI and machine learning, known for its association with leading researchers such as Geoffrey Hinton.
-
B.
Bahen Centre for Information Technology
The Bahen Centre for Information Technology is a major academic and research facility at the University of Toronto that houses computer science, engineering, and information technology programs.
-
C.
Canada CIFAR AI Chair
The Canada CIFAR AI Chair is a prestigious research position within Canada’s national AI strategy, supporting leading artificial intelligence scientists to advance foundational and applied AI research.
-
D.
Mila – Quebec Artificial Intelligence Institute
Mila – Quebec Artificial Intelligence Institute is a leading Montreal-based research center specializing in artificial intelligence and machine learning, renowned for its pioneering academic and industrial collaborations.
-
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_69a25853594c8190b05ec3a586ec88bf |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25dcf667c8190a7b8630fe67b9a90 |
completed | Feb. 28, 2026, 3:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3949fbdd48190847ef6d7decdc61e |
completed | March 1, 2026, 1:21 a.m. |
| NEDg | Description generation | batch_69a394ffe7148190a782a1943a76dc00 |
completed | March 1, 2026, 1:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3959061908190a96c6f8c8db0157d |
completed | March 1, 2026, 1:25 a.m. |
Created at: Feb. 28, 2026, 2:57 a.m.