Triple

T22421709
Position Surface form Disambiguated ID Type / Status
Subject Mitsubishi Tanabe Pharma E554263 entity
Predicate foundedBy P104 FINISHED
Object Mitsubishi Chemical Holdings Group 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: Mitsubishi Chemical Holdings Group | Statement: [Mitsubishi Tanabe Pharma, foundedBy, Mitsubishi Chemical Holdings Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mitsubishi Chemical Holdings Group
Context triple: [Mitsubishi Tanabe Pharma, foundedBy, Mitsubishi Chemical Holdings Group]
  • A. Mitsubishi Chemical Group chosen
    Mitsubishi Chemical Group is a major Japanese chemical company within the Mitsubishi conglomerate, producing a wide range of advanced materials, chemicals, and life science products for global markets.
  • B. Mitsubishi Group
    Mitsubishi Group is a major Japanese conglomerate (keiretsu) comprising numerous companies across industries such as finance, heavy industry, automotive, and electronics.
  • C. Asahi Kasei Corporation
    Asahi Kasei Corporation is a major Japanese multinational chemical company known for its diversified operations in materials, homes, and health care, including pioneering work in battery technology.
  • D. Sumitomo Group
    Sumitomo Group is one of Japan’s largest and oldest keiretsu conglomerates, with diversified interests spanning industries such as finance, manufacturing, mining, and electronics.
  • E. Marubeni
    Marubeni is a major Japanese trading and investment conglomerate involved in a wide range of sectors including energy, infrastructure, chemicals, and food.
  • 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_69e11e4f2d0c819091aa3558ea2ee630 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1594b08d88190bb61a30397d0ffa5 completed April 29, 2026, 1:05 a.m.
Created at: April 16, 2026, 8:46 p.m.