Triple
T11875530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Science, The Chinese University of Hong Kong |
E282515
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Statistics, The Chinese University of Hong Kong
The Department of Statistics at The Chinese University of Hong Kong is an academic unit specializing in statistical education and research within the university’s Faculty of Science.
|
E950700
|
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 Statistics, The Chinese University of Hong Kong | Statement: [Faculty of Science, The Chinese University of Hong Kong, hasDepartment, Department of Statistics, The Chinese University of Hong Kong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Statistics, The Chinese University of Hong Kong Context triple: [Faculty of Science, The Chinese University of Hong Kong, hasDepartment, Department of Statistics, The Chinese University of Hong Kong]
-
A.
Institute of Statistical Science, Academia Sinica
The Institute of Statistical Science, Academia Sinica is a leading research institute in Taiwan dedicated to advancing statistical theory, methodology, and interdisciplinary applications.
-
B.
Department of Statistics (University of British Columbia)
The Department of Statistics at the University of British Columbia is an academic unit specializing in teaching and research in statistical science, data analysis, and related quantitative methods.
-
C.
Department of Statistics
The Department of Statistics is an academic unit within Rice University's George R. Brown School of Engineering that focuses on education and research in statistical theory, methods, and applications.
-
D.
Department of Statistics
The Department of Statistics at the National University of Colombia (Bogotá) is an academic unit dedicated to teaching, research, and professional training in statistical science and its applications.
-
E.
Department of Statistics
The Department of Statistics is an academic unit at Yangon University of Economics that focuses on teaching and research in statistical theory and its applications to economics 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 Statistics, The Chinese University of Hong Kong Triple: [Faculty of Science, The Chinese University of Hong Kong, hasDepartment, Department of Statistics, The Chinese University of Hong Kong]
Generated description
The Department of Statistics at The Chinese University of Hong Kong is an academic unit specializing in statistical education and research within the university’s Faculty of Science.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Statistics, The Chinese University of Hong Kong Target entity description: The Department of Statistics at The Chinese University of Hong Kong is an academic unit specializing in statistical education and research within the university’s Faculty of Science.
-
A.
Institute of Statistical Science, Academia Sinica
The Institute of Statistical Science, Academia Sinica is a leading research institute in Taiwan dedicated to advancing statistical theory, methodology, and interdisciplinary applications.
-
B.
Department of Statistics (University of British Columbia)
The Department of Statistics at the University of British Columbia is an academic unit specializing in teaching and research in statistical science, data analysis, and related quantitative methods.
-
C.
Department of Statistics
The Department of Statistics is an academic unit at Yangon University of Economics that focuses on teaching and research in statistical theory and its applications to economics and related fields.
-
D.
Department of Statistics
The Department of Statistics is an academic unit within Rice University's George R. Brown School of Engineering that focuses on education and research in statistical theory, methods, and applications.
-
E.
Department of Statistics
The Department of Statistics at the National University of Colombia (Bogotá) is an academic unit dedicated to teaching, research, and professional training in statistical science and its applications.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8be1a22448190bd0722188c14d7bd |
completed | April 10, 2026, 9:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f281cac9a48190b4b0f4c53b41110f |
completed | April 29, 2026, 10:10 p.m. |
| NEDg | Description generation | batch_69f28a9378348190866e38259cc9467e |
completed | April 29, 2026, 10:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f28c5f7638819098aa93aa1610ca0a |
completed | April 29, 2026, 10:55 p.m. |
Created at: April 8, 2026, 9:44 p.m.