Triple

T23215317
Position Surface form Disambiguated ID Type / Status
Subject Tomonaga Masao E580719 entity
Predicate employer P7 FINISHED
Object RIKEN 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: RIKEN | Statement: [Tomonaga Masao, employer, RIKEN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RIKEN
Context triple: [Tomonaga Masao, employer, RIKEN]
  • A. RIKEN chosen
    RIKEN is Japan’s largest comprehensive research institution, renowned for its cutting-edge work in physics, chemistry, biology, medical science, and engineering.
  • B. Riken
    Riken is a Japanese automotive parts manufacturer best known for producing piston rings and related engine components for global vehicle makers.
  • C. Riken
    Riken is a small municipality in the canton of Aargau in northern Switzerland.
  • D. Nishina Laboratory
    Nishina Laboratory is a pioneering Japanese nuclear and particle physics research facility established in the early 20th century and closely associated with the development of modern physics in Japan.
  • E. National Institutes of Natural Sciences of Japan
    The National Institutes of Natural Sciences of Japan is a national research organization that oversees major scientific institutes and facilities in fields such as astronomy, physics, and biology.
  • 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_69e2460389408190be74f41d217799a9 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f191646c548190a3f7150f0c253dc1 completed April 29, 2026, 5:04 a.m.
Created at: April 17, 2026, 4:08 p.m.