Triple

T7984788
Position Surface form Disambiguated ID Type / Status
Subject Apache Spark E185661 entity
Predicate originatedAt P1041 FINISHED
Object UC Berkeley AMPLab
UC Berkeley AMPLab was a research lab at the University of California, Berkeley, known for pioneering large-scale data analytics and cluster computing systems that led to influential open-source projects like Apache Spark.
E705277 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: UC Berkeley AMPLab | Statement: [Apache Spark, originatedAt, UC Berkeley AMPLab]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UC Berkeley AMPLab
Context triple: [Apache Spark, originatedAt, UC Berkeley AMPLab]
  • 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. 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. 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.
  • D. 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.
  • E. 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.
  • 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: UC Berkeley AMPLab
Triple: [Apache Spark, originatedAt, UC Berkeley AMPLab]
Generated description
UC Berkeley AMPLab was a research lab at the University of California, Berkeley, known for pioneering large-scale data analytics and cluster computing systems that led to influential open-source projects like Apache Spark.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: UC Berkeley AMPLab
Target entity description: UC Berkeley AMPLab was a research lab at the University of California, Berkeley, known for pioneering large-scale data analytics and cluster computing systems that led to influential open-source projects like Apache Spark.
  • 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. 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. 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.
  • D. 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.
  • E. 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.
  • 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_69ca829a2cfc819083d591d58ec04075 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c4a55b881909a96133e56c0dffa completed March 31, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0e0b2748190930c22c6157d1b07 completed March 31, 2026, 2:57 p.m.
NEDg Description generation batch_69cc46c221848190848c7e017e532a16 completed March 31, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69cc480d2f40819085046a1d0c9d05e0 completed March 31, 2026, 10:17 p.m.
Created at: March 30, 2026, 5:15 p.m.