Triple
T17712086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Physical Sciences Division, University of Chicago |
E441592
|
entity |
| Predicate | hasAcademicDepartment |
P589
|
FINISHED |
| Object |
Department of Statistics, University of Chicago
The Department of Statistics at the University of Chicago is a leading academic department renowned for its research and teaching in theoretical and applied statistics and data science.
|
E1284247
|
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, University of Chicago | Statement: [Physical Sciences Division, University of Chicago, hasAcademicDepartment, Department of Statistics, University of Chicago]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Statistics, University of Chicago Context triple: [Physical Sciences Division, University of Chicago, hasAcademicDepartment, Department of Statistics, University of Chicago]
-
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 Statistics (UC Berkeley)
The Department of Statistics at UC Berkeley is a leading academic department renowned for its pioneering research and education in statistics, probability, and data science.
-
C.
Department of Statistics, University of Toronto
The Department of Statistics at the University of Toronto is a leading academic unit specializing in statistical research and education within one of Canada’s top universities.
-
D.
University of Chicago Department of Economics
The University of Chicago Department of Economics is a globally influential economics department renowned for its rigorous quantitative approach and for shaping modern economic thought through the “Chicago School” tradition.
-
E.
Harvard Department of Statistics
The Harvard Department of Statistics is a leading academic department at Harvard University known for pioneering research and education in statistical theory, methodology, and applications.
- 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, University of Chicago Triple: [Physical Sciences Division, University of Chicago, hasAcademicDepartment, Department of Statistics, University of Chicago]
Generated description
The Department of Statistics at the University of Chicago is a leading academic department renowned for its research and teaching in theoretical and applied statistics and data science.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Statistics, University of Chicago Target entity description: The Department of Statistics at the University of Chicago is a leading academic department renowned for its research and teaching in theoretical and applied statistics and data 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 Statistics (UC Berkeley)
The Department of Statistics at UC Berkeley is a leading academic department renowned for its pioneering research and education in statistics, probability, and data science.
-
C.
Department of Statistics, University of Toronto
The Department of Statistics at the University of Toronto is a leading academic unit specializing in statistical research and education within one of Canada’s top universities.
-
D.
University of Chicago Department of Economics
The University of Chicago Department of Economics is a globally influential economics department renowned for its rigorous quantitative approach and for shaping modern economic thought through the “Chicago School” tradition.
-
E.
Harvard Department of Statistics
The Harvard Department of Statistics is a leading academic department at Harvard University known for pioneering research and education in statistical theory, methodology, and 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4729c2c98819086fe48420217308d |
completed | April 19, 2026, 6:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a023027e52c81908e320ae9a84b8874 |
completed | May 11, 2026, 7:38 p.m. |
| NEDg | Description generation | batch_6a0230ae9f948190981751c9ca0e9031 |
completed | May 11, 2026, 7:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0234879d348190b023d0522318399d |
completed | May 11, 2026, 7:56 p.m. |
Created at: April 10, 2026, 10:06 a.m.