Triple

T2259238
Position Surface form Disambiguated ID Type / Status
Subject Ever Given E49997 entity
Predicate ownedBy P347 FINISHED
Object Shoei Kisen Kaisha E250286 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: Shoei Kisen Kaisha | Statement: [Ever Given, ownedBy, Shoei Kisen Kaisha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shoei Kisen Kaisha
Context triple: [Ever Given, ownedBy, Shoei Kisen Kaisha]
  • A. Shoei Kisen Kaisha chosen
    Shoei Kisen Kaisha is a Japanese ship leasing and management company best known internationally as the owner of the container ship Ever Given, which blocked the Suez Canal in 2021.
  • B. Kawasaki
    Kawasaki is a major industrial and residential city in Kanagawa Prefecture, Japan, located between Tokyo and Yokohama along the Tama River.
  • C. Jidosha-Seizo Co., Ltd.
    Jidosha-Seizo Co., Ltd. was the early Japanese automobile manufacturing company that evolved into what is known today as Nissan Motor Co., Ltd.
  • D. Yoshimoto Kogyo
    Yoshimoto Kogyo is a major Japanese entertainment conglomerate best known for managing comedians and producing comedy shows, theater, television, and other media.
  • E. Nikken Sekkei
    Nikken Sekkei is a major Japanese architectural and engineering firm renowned for designing prominent large-scale projects and urban landmarks worldwide.
  • 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_69a88b01e0048190ba96431b5f990ba9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc15ad06c8190b6d0babc17015787 completed March 7, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f067f208190a399e2b1a83badd1 completed March 9, 2026, 8:04 a.m.
Created at: March 4, 2026, 7:48 p.m.