Triple

T21422355
Position Surface form Disambiguated ID Type / Status
Subject GENCI E528467 entity
Predicate abbreviation P43 FINISHED
Object GENCI NE NERFINISHED

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: GENCI | Statement: [GENCI, abbreviation, GENCI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GENCI
Context triple: [GENCI, abbreviation, 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.

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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b2d17f5081908f0185011eae3160 completed April 22, 2026, 11:36 a.m.
Created at: April 16, 2026, 5:48 p.m.