Triple

T17823247
Position Surface form Disambiguated ID Type / Status
Subject Japanese battlecruiser Haruna E445041 entity
Predicate sunkAt P3148 FINISHED
Object Kure, Japan 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: Kure, Japan | Statement: [Japanese battlecruiser Haruna, sunkAt, Kure, Japan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kure, Japan
Context triple: [Japanese battlecruiser Haruna, sunkAt, Kure, Japan]
  • A. Kure
    Kure is a Japanese port city in Hiroshima Prefecture known historically as a major naval base and shipbuilding center.
  • B. Kure, Hiroshima Prefecture, Japan chosen
    Kure, in Hiroshima Prefecture, Japan, is a historic port city renowned as a major naval base and shipbuilding center, particularly prominent during the early 20th century.
  • C. Kariya, Japan
    Kariya, Japan is an industrial city in Aichi Prefecture known as a manufacturing hub, particularly for the automotive industry, and as part of the Nagoya metropolitan area.
  • D. Okayama, Japan
    Okayama, Japan is a city in western Honshu known for its historic Okayama Castle, the celebrated Kōraku-en garden, and its role as a regional cultural and transportation hub.
  • E. Tokuyama, Japan
    Tokuyama, Japan is a coastal industrial city in Yamaguchi Prefecture known historically for its port facilities and petrochemical industry.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4891282a081908d384d45bf444baf completed April 19, 2026, 7:49 a.m.
Created at: April 10, 2026, 10:15 a.m.