Triple

T18204740
Position Surface form Disambiguated ID Type / Status
Subject Bloom E435874 entity
Predicate trainingHardware P33188 FINISHED
Object Jean Zay supercomputer NE NERFINISHED

How this triple was built (3 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: Jean Zay supercomputer | Statement: [Bloom, trainingHardware, Jean Zay supercomputer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean Zay supercomputer
Context triple: [Bloom, trainingHardware, Jean Zay supercomputer]
  • A. Aurora supercomputer
    The Aurora supercomputer is an exascale-class high-performance computing system being built at Argonne National Laboratory to enable cutting-edge scientific research and AI at unprecedented speeds.
  • B. Sequoia supercomputer
    The Sequoia supercomputer is a massively parallel IBM Blue Gene/Q system that was once among the world’s fastest supercomputers, used primarily for nuclear weapons simulations and advanced scientific research at Lawrence Livermore National Laboratory.
  • C. Pleiades supercomputer
    The Pleiades supercomputer is a high-performance computing system used by NASA for large-scale simulations and scientific research in fields such as aeronautics, space exploration, and climate modeling.
  • D. Frontera supercomputer
    The Frontera supercomputer is a leadership-class high-performance computing system in the United States, designed to support cutting-edge academic and scientific research across a wide range of disciplines.
  • E. Summit supercomputer
    Summit supercomputer is a powerful IBM-built supercomputing system that was formerly ranked the world’s fastest and is housed at the Oak Ridge National Laboratory in the United States.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jean Zay supercomputer
Target entity description: The Jean Zay supercomputer is a high-performance computing system in France used for large-scale scientific research and advanced AI workloads.
  • A. Aurora supercomputer
    The Aurora supercomputer is an exascale-class high-performance computing system being built at Argonne National Laboratory to enable cutting-edge scientific research and AI at unprecedented speeds.
  • B. Sequoia supercomputer
    The Sequoia supercomputer is a massively parallel IBM Blue Gene/Q system that was once among the world’s fastest supercomputers, used primarily for nuclear weapons simulations and advanced scientific research at Lawrence Livermore National Laboratory.
  • C. Pleiades supercomputer
    The Pleiades supercomputer is a high-performance computing system used by NASA for large-scale simulations and scientific research in fields such as aeronautics, space exploration, and climate modeling.
  • D. Frontera supercomputer
    The Frontera supercomputer is a leadership-class high-performance computing system in the United States, designed to support cutting-edge academic and scientific research across a wide range of disciplines.
  • E. Summit supercomputer
    Summit supercomputer is a powerful IBM-built supercomputing system that was formerly ranked the world’s fastest and is housed at the Oak Ridge National Laboratory in the United States.
  • F. None of above. chosen

Provenance (2 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e222831081908f7d5500424e3acb completed April 19, 2026, 2:09 p.m.
Created at: April 10, 2026, 10:32 a.m.