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.