Triple
T5959202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Science (University of British Columbia) |
E132591
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
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.
|
E557769
|
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 (University of British Columbia) | Statement: [Faculty of Science (University of British Columbia), hasDepartment, Department of Computer Science (University of British Columbia)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Computer Science (University of British Columbia) Context triple: [Faculty of Science (University of British Columbia), hasDepartment, Department of Computer Science (University of British Columbia)]
-
A.
School of Computer Science
The School of Computer Science at Wuhan University is an academic unit specializing in computer science education and research within the university.
-
B.
School of Computer Science
The School of Computer Science is McGill University’s primary academic unit for teaching and research in computer science, operating within its Faculty of Engineering.
-
C.
School of Computer Science
The School of Computer Science is an academic unit of Central China Normal University specializing in education and research in computer science and related technologies.
-
D.
School of Computer Science
The School of Computer Science at the University of St Andrews is an academic department specializing in teaching and research across areas such as algorithms, artificial intelligence, software engineering, and human-computer interaction.
-
E.
School of Computer Science
The School of Computer Science at Fudan University is a leading academic unit in China dedicated to education and research in computer science and related fields.
- 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 (University of British Columbia) Triple: [Faculty of Science (University of British Columbia), hasDepartment, Department of Computer Science (University of British Columbia)]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Computer Science (University of British Columbia) Target entity description: 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.
-
A.
School of Computer Science
The School of Computer Science at Wuhan University is an academic unit specializing in computer science education and research within the university.
-
B.
School of Computer Science
The School of Computer Science is McGill University’s primary academic unit for teaching and research in computer science, operating within its Faculty of Engineering.
-
C.
School of Computer Science
The School of Computer Science is an academic unit of Central China Normal University specializing in education and research in computer science and related technologies.
-
D.
School of Computer Science
The School of Computer Science at the University of St Andrews is an academic department specializing in teaching and research across areas such as algorithms, artificial intelligence, software engineering, and human-computer interaction.
-
E.
School of Computer Science
The School of Computer Science at Fudan University is a leading academic unit in China dedicated to education and research in computer science and related fields.
- 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_69c0086c2364819091e9fe2f58fa2517 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c039fbf49881909d97b4abb3c5286d |
completed | March 22, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e3e3736c8190b445156f0c1bdf1f |
completed | March 23, 2026, 6:55 a.m. |
| NEDg | Description generation | batch_69c0ec751abc8190a1f6d09e8c47cd59 |
completed | March 23, 2026, 7:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0ed1871a88190a2894e7e156478d7 |
completed | March 23, 2026, 7:34 a.m. |
Created at: March 22, 2026, 4:02 p.m.