Triple
T18178432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LISA lab |
E435220
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
Department of Computer Science and Operations Research, Université de Montréal
The Department of Computer Science and Operations Research at Université de Montréal is a leading academic unit known for its research and teaching in computer science, artificial intelligence, and optimization.
|
E1311850
|
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: Department of Computer Science and Operations Research, Université de Montréal | Statement: [LISA lab, partOf, Department of Computer Science and Operations Research, Université de Montréal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Computer Science and Operations Research, Université de Montréal Context triple: [LISA lab, partOf, Department of Computer Science and Operations Research, Université de Montréal]
-
A.
McGill University School of Computer Science
McGill University School of Computer Science is a leading academic department at McGill University in Montreal, Canada, known for its research and education in computer science and for pioneering early internet search technologies.
-
B.
Department of Computer Science (University of British Columbia)
The Department of Computer Science at the University of British Columbia is a leading Canadian academic unit known for its research and teaching in areas such as artificial intelligence, human-computer interaction, systems, and theoretical computer science.
-
C.
Department of Computing Science, University of Alberta
The Department of Computing Science at the University of Alberta is a leading academic unit known for its research and teaching in computer science, including areas such as artificial intelligence, machine learning, and software systems.
-
D.
University of Toronto Department of Computer Science
The University of Toronto Department of Computer Science is a leading global center for research and education in computer science, known for its pioneering contributions to areas such as machine learning, artificial intelligence, and theoretical computer science.
-
E.
School of Computer Science
The School of Computer Science at the University of Tehran is a leading academic unit specializing in computer science education and research within Iran’s premier public university.
- 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: Department of Computer Science and Operations Research, Université de Montréal Triple: [LISA lab, partOf, Department of Computer Science and Operations Research, Université de Montréal]
Generated description
The Department of Computer Science and Operations Research at Université de Montréal is a leading academic unit known for its research and teaching in computer science, artificial intelligence, and optimization.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Computer Science and Operations Research, Université de Montréal Target entity description: The Department of Computer Science and Operations Research at Université de Montréal is a leading academic unit known for its research and teaching in computer science, artificial intelligence, and optimization.
-
A.
McGill University School of Computer Science
McGill University School of Computer Science is a leading academic department at McGill University in Montreal, Canada, known for its research and education in computer science and for pioneering early internet search technologies.
-
B.
Department of Computer Science (University of British Columbia)
The Department of Computer Science at the University of British Columbia is a leading Canadian academic unit known for its research and teaching in areas such as artificial intelligence, human-computer interaction, systems, and theoretical computer science.
-
C.
Department of Computing Science, University of Alberta
The Department of Computing Science at the University of Alberta is a leading academic unit known for its research and teaching in computer science, including areas such as artificial intelligence, machine learning, and software systems.
-
D.
University of Toronto Department of Computer Science
The University of Toronto Department of Computer Science is a leading global center for research and education in computer science, known for its pioneering contributions to areas such as machine learning, artificial intelligence, and theoretical computer science.
-
E.
School of Computer Science
The School of Computer Science at the University of Tehran is a leading academic unit specializing in computer science education and research within Iran’s premier public university.
- 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4df5b68f081908aac8210270f1499 |
completed | April 19, 2026, 1:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0397ff48a081908d0454144a8f5076 |
completed | May 12, 2026, 9:13 p.m. |
| NEDg | Description generation | batch_6a039917de7481909296e06af3a201f5 |
completed | May 12, 2026, 9:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a039976d32c8190a1ea97d4a21b2799 |
completed | May 12, 2026, 9:19 p.m. |
Created at: April 10, 2026, 10:31 a.m.