Triple
T2573837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Statistics (UC Berkeley) |
E57726
|
entity |
| Predicate | collaboratesWith |
P37
|
FINISHED |
| Object | Department of Electrical Engineering and Computer Sciences (UC Berkeley) |
E44888
|
NE FINISHED |
How this triple was built (2 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 Electrical Engineering and Computer Sciences (UC Berkeley) | Statement: [Department of Statistics (UC Berkeley), collaboratesWith, Department of Electrical Engineering and Computer Sciences (UC Berkeley)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Electrical Engineering and Computer Sciences (UC Berkeley) Context triple: [Department of Statistics (UC Berkeley), collaboratesWith, Department of Electrical Engineering and Computer Sciences (UC Berkeley)]
-
A.
Department of Electrical Engineering and Computer Sciences, UC Berkeley
chosen
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.
-
B.
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.
-
C.
Stanford Computer Science Department
The Stanford Computer Science Department is a leading academic department at Stanford University renowned for its pioneering research and education in computer science and its close ties to Silicon Valley innovation.
-
D.
Department of Electrical Engineering and Computer Science
The Department of Electrical Engineering and Computer Science at MIT is a leading academic department renowned for pioneering research and education in computing, electronics, and information technologies.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69af83aefb00819095a6ab26f9bb61d9 |
completed | March 10, 2026, 2:36 a.m. |
Created at: March 6, 2026, 9:48 p.m.