Triple
T76990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of Letters and Science (UC Berkeley) |
E1538
|
entity |
| Predicate | hasDivision |
P35
|
FINISHED |
| Object |
Division of Social Sciences (UC Berkeley L&S)
The Division of Social Sciences in UC Berkeley’s College of Letters and Science is the campus’s largest academic unit for disciplines such as economics, political science, sociology, psychology, and related fields that study human society and behavior.
|
E8248
|
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: Division of Social Sciences (UC Berkeley L&S) | Statement: [College of Letters and Science (UC Berkeley), hasDivision, Division of Social Sciences (UC Berkeley L&S)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Division of Social Sciences (UC Berkeley L&S) Context triple: [College of Letters and Science (UC Berkeley), hasDivision, Division of Social Sciences (UC Berkeley L&S)]
-
A.
Division of Arts and Humanities (UC Berkeley L&S)
The Division of Arts and Humanities in UC Berkeley’s College of Letters and Science is the academic unit that encompasses the campus’s humanities and arts departments, supporting scholarship and teaching in fields such as literature, languages, philosophy, history, and the creative arts.
-
B.
Division of Mathematical and Physical Sciences (UC Berkeley L&S)
The Division of Mathematical and Physical Sciences at UC Berkeley’s College of Letters and Science is the academic unit that encompasses departments focused on fundamental research and education in mathematics, statistics, and the physical sciences.
-
C.
Division of Biological Sciences (UC Berkeley L&S)
The Division of Biological Sciences in UC Berkeley’s College of Letters and Science is the academic unit that oversees and coordinates the university’s undergraduate and graduate programs in the life sciences within L&S.
-
D.
College of Letters and Science
The College of Letters and Science is UC Berkeley’s largest and most academically diverse college, encompassing a wide range of liberal arts, natural sciences, and social science disciplines.
-
E.
School of Social Sciences
The School of Social Sciences is an academic division within the University of Manchester that focuses on disciplines such as sociology, politics, economics, and related social science 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: Division of Social Sciences (UC Berkeley L&S) Triple: [College of Letters and Science (UC Berkeley), hasDivision, Division of Social Sciences (UC Berkeley L&S)]
Generated description
The Division of Social Sciences in UC Berkeley’s College of Letters and Science is the campus’s largest academic unit for disciplines such as economics, political science, sociology, psychology, and related fields that study human society and behavior.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Division of Social Sciences (UC Berkeley L&S) Target entity description: The Division of Social Sciences in UC Berkeley’s College of Letters and Science is the campus’s largest academic unit for disciplines such as economics, political science, sociology, psychology, and related fields that study human society and behavior.
-
A.
Division of Arts and Humanities (UC Berkeley L&S)
The Division of Arts and Humanities in UC Berkeley’s College of Letters and Science is the academic unit that encompasses the campus’s humanities and arts departments, supporting scholarship and teaching in fields such as literature, languages, philosophy, history, and the creative arts.
-
B.
Division of Mathematical and Physical Sciences (UC Berkeley L&S)
The Division of Mathematical and Physical Sciences at UC Berkeley’s College of Letters and Science is the academic unit that encompasses departments focused on fundamental research and education in mathematics, statistics, and the physical sciences.
-
C.
Division of Biological Sciences (UC Berkeley L&S)
The Division of Biological Sciences in UC Berkeley’s College of Letters and Science is the academic unit that oversees and coordinates the university’s undergraduate and graduate programs in the life sciences within L&S.
-
D.
College of Letters and Science
The College of Letters and Science is UC Berkeley’s largest and most academically diverse college, encompassing a wide range of liberal arts, natural sciences, and social science disciplines.
-
E.
School of Social Sciences
The School of Social Sciences is an academic division within the University of Manchester that focuses on disciplines such as sociology, politics, economics, and related social science 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_69a24c60d19c8190a1b6c105ca59ef5b |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a24f1d20b88190b66836cc018e52e1 |
completed | Feb. 28, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a26241d4c08190885dab6aef75dcf3 |
completed | Feb. 28, 2026, 3:34 a.m. |
| NEDg | Description generation | batch_69a26319b2b0819080ae6aeec36bc6e3 |
completed | Feb. 28, 2026, 3:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a263a07dfc8190a9acf5118f2a68f1 |
completed | Feb. 28, 2026, 3:40 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.