Triple
T8948775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of Natural Sciences |
E213289
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Statistics and Data Sciences
The Department of Statistics and Data Sciences is an academic unit specializing in statistical theory, data analysis, and data science education and research.
|
E672682
|
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 and Data Sciences | Statement: [College of Natural Sciences, hasDepartment, Department of Statistics and Data Sciences]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Statistics and Data Sciences Context triple: [College of Natural Sciences, hasDepartment, Department of Statistics and Data Sciences]
-
A.
Department of Statistics and Data Science
The Department of Statistics and Data Science is an academic unit specializing in statistical theory, data analysis, and computational methods within Carnegie Mellon University's Dietrich College of Humanities and Social Sciences.
-
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 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 Cairo 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 and Data Sciences Triple: [College of Natural Sciences, hasDepartment, Department of Statistics and Data Sciences]
Generated description
The Department of Statistics and Data Sciences is an academic unit specializing in statistical theory, data analysis, and data science education and research.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Statistics and Data Sciences Target entity description: The Department of Statistics and Data Sciences is an academic unit specializing in statistical theory, data analysis, and data science education and research.
-
A.
Department of Statistics and Data Science
chosen
The Department of Statistics and Data Science is an academic unit specializing in statistical theory, data analysis, and computational methods within Carnegie Mellon University's Dietrich College of Humanities and Social Sciences.
-
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 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 Presidency College, Kolkata is an academic unit specializing in teaching and research in statistical theory and its applications.
- F. None of above.
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_69ca839843408190a39069a029a89f15 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6709c7a48190ab503083a1d6a29f |
completed | April 1, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc206550c8190abf016f25b14fa64 |
completed | April 3, 2026, 1:35 p.m. |
| NEDg | Description generation | batch_69cfc3f170a08190a2cab07eb280ee3b |
completed | April 3, 2026, 1:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfc476204481909f0baaf400483f33 |
completed | April 3, 2026, 1:45 p.m. |
Created at: March 30, 2026, 6:59 p.m.