Triple

T18316896
Position Surface form Disambiguated ID Type / Status
Subject Kasato Maru E438771 entity
Predicate operatedBy P86 FINISHED
Object Osaka Shosen Kaisha 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: Osaka Shosen Kaisha | Statement: [Kasato Maru, operatedBy, Osaka Shosen Kaisha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Osaka Shosen Kaisha
Context triple: [Kasato Maru, operatedBy, Osaka Shosen Kaisha]
  • A. Osaka Shosen Kaisha chosen
    Osaka Shosen Kaisha was a major Japanese shipping company that operated extensive domestic and international maritime transport services in the late 19th and 20th centuries.
  • B. Yoshimoto Kogyo
    Yoshimoto Kogyo is a major Japanese entertainment conglomerate best known for managing comedians and producing comedy shows, theater, television, and other media.
  • C. Osaka North Harbour Co., Ltd.
    Osaka North Harbour Co., Ltd. was the former corporate name of the major Japanese trading company now known as Sumitomo Corporation.
  • D. Nippon Kobo
    Nippon Kobo was a Japanese design and architecture firm active in the mid-20th century, known for its collaborations with prominent modernist designers such as Charlotte Perriand.
  • E. Taisei Corporation
    Taisei Corporation is a major Japanese construction and civil engineering company known for leading large-scale infrastructure and landmark building projects in Japan and abroad.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5021f5f1081909fd98c8fb786c7ff completed April 19, 2026, 4:26 p.m.
Created at: April 10, 2026, 10:36 a.m.