Triple

T13556068
Position Surface form Disambiguated ID Type / Status
Subject Mitsubishi Group E323776 entity
Predicate hasMember P10 FINISHED
Object Mitsubishi Shokuhin E557352 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: Mitsubishi Shokuhin | Statement: [Mitsubishi Group, hasMember, Mitsubishi Shokuhin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mitsubishi Shokuhin
Context triple: [Mitsubishi Group, hasMember, Mitsubishi Shokuhin]
  • A. Mitsubishi Shokuhin chosen
    Mitsubishi Shokuhin is a Japanese food and beverage wholesale and distribution company within the Mitsubishi corporate group.
  • B. Mitsubishi Corporation
    Mitsubishi Corporation is a major Japanese multinational trading and investment company involved in a wide range of sectors including energy, machinery, chemicals, and infrastructure projects worldwide.
  • C. Mitsushō
    Mitsushō was a former town in Hokkaido, Japan, that later became part of the newly created town of Shinhidaka through a municipal merger.
  • D. Nissho
    Nissho was a prominent disciple of the Japanese Buddhist monk Nichiren who helped propagate and systematize Nichiren Buddhism.
  • E. Ezaki Glico Co., Ltd.
    Ezaki Glico Co., Ltd. is a Japanese confectionery and food company best known for products like Pocky and Pretz, as well as its iconic advertising presence in Osaka.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaff3063c8190bd20149b3f7df352 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bb0195c8190b62e7aad4d78f899 completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:47 p.m.