Triple

T10624598
Position Surface form Disambiguated ID Type / Status
Subject H3RC E250289 entity
Predicate associatedWithOwner 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: [H3RC, associatedWithOwner, Shoei Kisen Kaisha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shoei Kisen Kaisha
Context triple: [H3RC, associatedWithOwner, 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. Kawada Industries
    Kawada Industries is a Japanese engineering and construction company known for its work on major infrastructure projects, including prominent bridges and civil works.
  • E. Obayashi Corporation
    Obayashi Corporation is a major Japanese construction and engineering company known for its involvement in large-scale infrastructure and building projects 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df7fe9fc81908b3b8d1dc06a829c completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96b9a27f881908e451bfa6c118af4 completed April 10, 2026, 9:28 p.m.
Created at: April 8, 2026, 8:53 p.m.