Triple

T14774974
Position Surface form Disambiguated ID Type / Status
Subject Shimadzu Corporation E347234 entity
Predicate shortName P43 FINISHED
Object Shimadzu E347234 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: Shimadzu | Statement: [Shimadzu Corporation, shortName, Shimadzu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shimadzu
Context triple: [Shimadzu Corporation, shortName, Shimadzu]
  • A. Shimadzu Corporation chosen
    Shimadzu Corporation is a Japanese multinational company specializing in precision instruments, analytical and measuring equipment, and medical systems.
  • B. Ebara
    Ebara is a district within Tokyo’s Shinagawa ward, known as a primarily residential area with local shopping streets and traditional neighborhoods.
  • C. Hach Company
    Hach Company is a manufacturer of analytical instruments and reagents specializing in water quality testing and analysis for environmental, industrial, and municipal applications.
  • D. Sanyo-Onoda
    Sanyo-Onoda is a coastal industrial city in western Japan known for its cement and chemical industries and its location along the Seto Inland Sea.
  • E. Nissho
    Nissho was a prominent disciple of the Japanese Buddhist monk Nichiren who helped propagate and systematize Nichiren Buddhism.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec815dd5081909e927911c06b2d66 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe388d398c81909d275f487cc38d9c completed May 8, 2026, 7:25 p.m.
Created at: April 10, 2026, 1:31 a.m.