Triple
T6382491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Engineering, University of Manitoba |
E143617
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Computer Engineering, University of Manitoba
The Department of Computer Engineering at the University of Manitoba is an academic unit that offers education and conducts research in computer engineering within the university’s Faculty of Engineering.
|
E590560
|
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 Engineering, University of Manitoba | Statement: [Faculty of Engineering, University of Manitoba, hasDepartment, Department of Computer Engineering, University of Manitoba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Computer Engineering, University of Manitoba Context triple: [Faculty of Engineering, University of Manitoba, hasDepartment, Department of Computer Engineering, University of Manitoba]
-
A.
Department of Civil Engineering, University of Manitoba
The Department of Civil Engineering at the University of Manitoba is an academic unit that offers education and conducts research in areas such as structural, environmental, geotechnical, transportation, and water resources engineering.
-
B.
Department of Mechanical Engineering, University of Manitoba
The Department of Mechanical Engineering at the University of Manitoba is an academic unit that offers education and conducts research in mechanical engineering within the university’s Faculty of Engineering.
-
C.
Department of Computer Science and Engineering (University of Minnesota)
The Department of Computer Science and Engineering at the University of Minnesota is a major academic unit known for its research and education in computer science, software engineering, and related technologies.
-
D.
Department of Biosystems Engineering, University of Manitoba
The Department of Biosystems Engineering at the University of Manitoba is an academic unit that integrates engineering principles with biological and environmental sciences to address challenges in areas such as agriculture, food systems, and sustainable resource management.
-
E.
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.
- 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 Engineering, University of Manitoba Triple: [Faculty of Engineering, University of Manitoba, hasDepartment, Department of Computer Engineering, University of Manitoba]
Generated description
The Department of Computer Engineering at the University of Manitoba is an academic unit that offers education and conducts research in computer engineering within the university’s Faculty of Engineering.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Computer Engineering, University of Manitoba Target entity description: The Department of Computer Engineering at the University of Manitoba is an academic unit that offers education and conducts research in computer engineering within the university’s Faculty of Engineering.
-
A.
Department of Civil Engineering, University of Manitoba
The Department of Civil Engineering at the University of Manitoba is an academic unit that offers education and conducts research in areas such as structural, environmental, geotechnical, transportation, and water resources engineering.
-
B.
Department of Mechanical Engineering, University of Manitoba
The Department of Mechanical Engineering at the University of Manitoba is an academic unit that offers education and conducts research in mechanical engineering within the university’s Faculty of Engineering.
-
C.
Department of Computer Science and Engineering (University of Minnesota)
The Department of Computer Science and Engineering at the University of Minnesota is a major academic unit known for its research and education in computer science, software engineering, and related technologies.
-
D.
Department of Biosystems Engineering, University of Manitoba
The Department of Biosystems Engineering at the University of Manitoba is an academic unit that integrates engineering principles with biological and environmental sciences to address challenges in areas such as agriculture, food systems, and sustainable resource management.
-
E.
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.
- 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_69c008dac1ec81909cef8157ccd69962 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06854eb608190acb6bb4dc466f0fc |
completed | March 22, 2026, 10:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c63874aba88190a543f21e968fbc06 |
completed | March 27, 2026, 7:57 a.m. |
| NEDg | Description generation | batch_69c63aaff5f4819084161055c04c8b74 |
completed | March 27, 2026, 8:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c63b334e608190b811b30e93199ac0 |
completed | March 27, 2026, 8:09 a.m. |
Created at: March 22, 2026, 4:34 p.m.