Triple

T13410530
Position Surface form Disambiguated ID Type / Status
Subject Riken Konzern E320073 entity
Predicate originatedFrom P409 FINISHED
Object Riken E555276 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: Riken | Statement: [Riken Konzern, originatedFrom, Riken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Riken
Context triple: [Riken Konzern, originatedFrom, Riken]
  • A. Riken chosen
    Riken is a Japanese automotive parts manufacturer best known for producing piston rings and related engine components for global vehicle makers.
  • B. RIKEN
    RIKEN is Japan’s largest comprehensive research institution, renowned for its cutting-edge work in physics, chemistry, biology, medical science, and engineering.
  • C. National Institute of Genetics
    The National Institute of Genetics is a leading Japanese research institute specializing in genetics and genomics, known for pioneering work in evolutionary biology and molecular genetics.
  • D. Ibuka Laboratory
    Ibuka Laboratory was an electronics research workshop in postwar Tokyo that became the foundation for what would later grow into Sony.
  • E. Tsukuba Center
    Tsukuba Center is a major commercial and transportation hub in Tsukuba, Japan, featuring shopping, offices, and access to local and regional transit.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaeb3facc819088c1af3b59237e7a completed April 12, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d86d32c8190a1d9ce72e99426e2 completed May 3, 2026, 2:36 p.m.
Created at: April 9, 2026, 9:35 p.m.