Triple

T18204741
Position Surface form Disambiguated ID Type / Status
Subject Bloom E435874 entity
Predicate trainingHardwareProvider P96016 FINISHED
Object GENCI 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: GENCI | Statement: [Bloom, trainingHardwareProvider, GENCI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GENCI
Context triple: [Bloom, trainingHardwareProvider, GENCI]
  • A. GENCI chosen
    GENCI (Grand Équipement National de Calcul Intensif) is the French national agency responsible for providing and managing high-performance computing resources for scientific research.
  • B. CEA Grenoble
    CEA Grenoble is a major French research center specializing in nuclear energy, micro- and nanotechnologies, and applied physics, operated by the French Alternative Energies and Atomic Energy Commission.
  • C. CEA Cadarache
    CEA Cadarache is one of Europe’s largest nuclear research centers, specializing in nuclear energy, fusion, and related energy technologies.
  • D. CEA Saclay
    CEA Saclay is a major French research center of the French Alternative Energies and Atomic Energy Commission, known for its work in nuclear physics, energy, and advanced technologies.
  • E. Centre de gestion scientifique
    The Centre de gestion scientifique is a research and teaching center at École des Mines de Paris focused on management science, innovation, and the organization of technology-intensive activities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: trainingHardwareProvider
Context triple: [Bloom, trainingHardwareProvider, GENCI]
  • A. equipmentProvider chosen
    Indicates that one entity supplies or makes available equipment for use by another entity.
  • B. equipmentTypeTrainedOn
    Indicates the type of equipment on which an entity has received training or is qualified to operate.
  • C. hardwareUsed
    Indicates that a particular piece of hardware is utilized or employed in performing an action, process, or function involving another entity.
  • D. hardwareUsedBy
    Indicates that a piece of hardware is utilized or operated by a particular entity (such as a person, system, or organization).
  • E. providesTrainingFor
    Indicates that one entity delivers or conducts training activities intended to develop the skills or knowledge of another entity.
  • F. None of above.

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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e222831081908f7d5500424e3acb completed April 19, 2026, 2:09 p.m.
PD Predicate disambiguation batch_69e4332155d88190b106d0dceb4554af completed April 19, 2026, 1:42 a.m.
Created at: April 10, 2026, 10:32 a.m.