Triple
T2573839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Statistics (UC Berkeley) |
E57726
|
entity |
| Predicate | collaboratesWith |
P37
|
FINISHED |
| Object |
Berkeley Institute for Data Science
The Berkeley Institute for Data Science is an interdisciplinary research and education center at UC Berkeley that advances data-intensive discovery across the sciences, engineering, and the humanities.
|
E278846
|
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: Berkeley Institute for Data Science | Statement: [Department of Statistics (UC Berkeley), collaboratesWith, Berkeley Institute for Data Science]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berkeley Institute for Data Science Context triple: [Department of Statistics (UC Berkeley), collaboratesWith, Berkeley Institute for Data Science]
-
A.
UC Berkeley ASPIRE Lab
UC Berkeley ASPIRE Lab is a research group at the University of California, Berkeley focused on advancing computer architecture and systems, particularly open and energy-efficient computing platforms.
-
B.
MIT Institute for Data, Systems, and Society
The MIT Institute for Data, Systems, and Society is an interdisciplinary research and education institute at the Massachusetts Institute of Technology focused on data science, systems engineering, and social science to address complex societal challenges.
-
C.
Stanford University Department of Statistics
The Stanford University Department of Statistics is a leading academic department renowned for its research and teaching in probability, statistics, and data science.
-
D.
UC Berkeley Parallel Computing Laboratory
The UC Berkeley Parallel Computing Laboratory is a research center at the University of California, Berkeley focused on advancing parallel computer architecture, programming models, and open instruction set technologies such as RISC-V.
-
E.
Department of Electrical Engineering and Computer Sciences, UC Berkeley
The Department of Electrical Engineering and Computer Sciences at UC Berkeley is a leading academic department renowned for its pioneering research and top-ranked programs in electrical engineering, 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: Berkeley Institute for Data Science Triple: [Department of Statistics (UC Berkeley), collaboratesWith, Berkeley Institute for Data Science]
Generated description
The Berkeley Institute for Data Science is an interdisciplinary research and education center at UC Berkeley that advances data-intensive discovery across the sciences, engineering, and the humanities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Berkeley Institute for Data Science Target entity description: The Berkeley Institute for Data Science is an interdisciplinary research and education center at UC Berkeley that advances data-intensive discovery across the sciences, engineering, and the humanities.
-
A.
UC Berkeley ASPIRE Lab
UC Berkeley ASPIRE Lab is a research group at the University of California, Berkeley focused on advancing computer architecture and systems, particularly open and energy-efficient computing platforms.
-
B.
MIT Institute for Data, Systems, and Society
The MIT Institute for Data, Systems, and Society is an interdisciplinary research and education institute at the Massachusetts Institute of Technology focused on data science, systems engineering, and social science to address complex societal challenges.
-
C.
Stanford University Department of Statistics
The Stanford University Department of Statistics is a leading academic department renowned for its research and teaching in probability, statistics, and data science.
-
D.
UC Berkeley Parallel Computing Laboratory
The UC Berkeley Parallel Computing Laboratory is a research center at the University of California, Berkeley focused on advancing parallel computer architecture, programming models, and open instruction set technologies such as RISC-V.
-
E.
Department of Electrical Engineering and Computer Sciences, UC Berkeley
The Department of Electrical Engineering and Computer Sciences at UC Berkeley is a leading academic department renowned for its pioneering research and top-ranked programs in electrical engineering, 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_69ab4a51410081908501dcf8bad9adc4 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd38792288190a39420cab126bf03 |
completed | March 7, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af657413908190a03b9dd8dc40b2e4 |
completed | March 10, 2026, 12:27 a.m. |
| NEDg | Description generation | batch_69af67cbaf388190b5bb447af2a8e941 |
completed | March 10, 2026, 12:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af682b38d08190bba53245e813f044 |
completed | March 10, 2026, 12:39 a.m. |
Created at: March 6, 2026, 9:48 p.m.