Triple

T2836893
Position Surface form Disambiguated ID Type / Status
Subject Lotfi A. Zadeh E62372 entity
Predicate workplace P1527 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: [Lotfi A. Zadeh, workplace, 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: [Lotfi A. Zadeh, workplace, 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. 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.
  • C. Department of Computer Science, UCLA
    The Department of Computer Science at UCLA is a leading academic and research department known for pioneering contributions to computer networking, algorithms, artificial intelligence, and systems within a top-tier public university.
  • D. 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.
  • E. Department of Industrial Engineering and Operations Research, UC Berkeley
    The Department of Industrial Engineering and Operations Research at UC Berkeley is a leading academic department specializing in optimization, stochastic processes, data analytics, and systems engineering for complex decision-making in industry and society.
  • 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_69ab4c3c39188190955b9c49d98463d8 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdeede0488190a9782f55b57559ee completed March 7, 2026, 8:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8c890508190868f50f4e5e1d642 completed March 10, 2026, 9:47 a.m.
Created at: March 6, 2026, 10:01 p.m.