Triple
T19127480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of Science (Virginia Tech) |
E468222
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Statistics (Virginia Tech)
The Department of Statistics at Virginia Tech is an academic unit known for its education and research in statistical theory, methods, and applications within the university’s College of Science.
|
E1359678
|
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 (Virginia Tech) | Statement: [College of Science (Virginia Tech), hasDepartment, Department of Statistics (Virginia Tech)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Statistics (Virginia Tech) Context triple: [College of Science (Virginia Tech), hasDepartment, Department of Statistics (Virginia Tech)]
-
A.
Department of Statistics (Purdue University)
The Department of Statistics at Purdue University is a leading academic department known for its research and education in statistical theory, methodology, and applications across diverse scientific fields.
-
B.
Department of Statistical Science
The Department of Statistical Science is an academic unit specializing in statistics and data analysis within a broader mathematical and physical sciences faculty.
-
C.
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.
-
D.
Department of Statistics
The Department of Statistics at St. Xavier's College, Mumbai is an academic unit focused on teaching and research in statistical theory, methods, and their applications.
-
E.
Department of Statistics
The Department of Statistics is an academic unit within Alexandria University's Faculty of Commerce that specializes in teaching and research in statistical theory and its applications in business and economics.
- 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 (Virginia Tech) Triple: [College of Science (Virginia Tech), hasDepartment, Department of Statistics (Virginia Tech)]
Generated description
The Department of Statistics at Virginia Tech is an academic unit known for its education and research in statistical theory, methods, and applications within the university’s College of Science.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Statistics (Virginia Tech) Target entity description: The Department of Statistics at Virginia Tech is an academic unit known for its education and research in statistical theory, methods, and applications within the university’s College of Science.
-
A.
Department of Statistics (Purdue University)
The Department of Statistics at Purdue University is a leading academic department known for its research and education in statistical theory, methodology, and applications across diverse scientific fields.
-
B.
Department of Statistical Science
The Department of Statistical Science is an academic unit specializing in statistics and data analysis within a broader mathematical and physical sciences faculty.
-
C.
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.
-
D.
Department of Statistics
The Department of Statistics at St. Xavier's College, Mumbai is an academic unit focused on teaching and research in statistical theory, methods, and their applications.
-
E.
Department of Statistics
The Department of Statistics is an academic unit within Alexandria University's Faculty of Commerce that specializes in teaching and research in statistical theory and its applications in business and economics.
- 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3cd851081909d5665b362ae08de |
completed | April 20, 2026, 8:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05e67b296c81909818a4c71380fa98 |
completed | May 14, 2026, 3:12 p.m. |
| NEDg | Description generation | batch_6a05e9aaa85c81909bdc81145d415716 |
completed | May 14, 2026, 3:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05ea46a9588190846c5a1b8f2bfc12 |
completed | May 14, 2026, 3:29 p.m. |
Created at: April 10, 2026, 12:05 p.m.