Triple

T17661820
Position Surface form Disambiguated ID Type / Status
Subject National Institutes of Natural Sciences E440270 entity
Predicate oversees P46 FINISHED
Object National Institute for Fusion Science — 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: National Institute for Fusion Science | Statement: [National Institutes of Natural Sciences, oversees, National Institute for Fusion Science]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: National Institute for Fusion Science
Context triple: [National Institutes of Natural Sciences, oversees, National Institute for Fusion Science]
  • A. Korea Institute of Fusion Energy
    The Korea Institute of Fusion Energy is a South Korean government-funded research organization dedicated to developing nuclear fusion technologies and advancing fusion energy science.
  • B. National Fusion Research Institute
    The National Fusion Research Institute is a South Korean government-funded research organization dedicated to developing nuclear fusion energy technologies, including operation of the KSTAR tokamak.
  • C. Fusion Engineering Research Division
    The Fusion Engineering Research Division is a specialized unit focused on developing and advancing the engineering technologies required for practical fusion energy systems.
  • D. KSTAR Research Center
    KSTAR Research Center is a South Korean fusion research facility focused on operating the KSTAR tokamak to advance high-performance, steady-state nuclear fusion plasma science.
  • E. National Institute for Materials Science
    The National Institute for Materials Science is a leading Japanese research organization dedicated to advanced materials science and technology development.
  • 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: National Institute for Fusion Science
Target entity description: The National Institute for Fusion Science is a Japanese research institution dedicated to advancing nuclear fusion science and technology, particularly through large-scale experimental facilities and plasma physics studies.
  • A. Korea Institute of Fusion Energy
    The Korea Institute of Fusion Energy is a South Korean government-funded research organization dedicated to developing nuclear fusion technologies and advancing fusion energy science.
  • B. National Fusion Research Institute
    The National Fusion Research Institute is a South Korean government-funded research organization dedicated to developing nuclear fusion energy technologies, including operation of the KSTAR tokamak.
  • C. Fusion Engineering Research Division
    The Fusion Engineering Research Division is a specialized unit focused on developing and advancing the engineering technologies required for practical fusion energy systems.
  • D. KSTAR Research Center
    KSTAR Research Center is a South Korean fusion research facility focused on operating the KSTAR tokamak to advance high-performance, steady-state nuclear fusion plasma science.
  • E. National Institute for Materials Science
    The National Institute for Materials Science is a leading Japanese research organization dedicated to advanced materials science and technology development.
  • 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46ea67f8081909da164ca21a98675 completed April 19, 2026, 5:56 a.m.
Created at: April 10, 2026, 9:43 a.m.