Triple

T19878831
Position Surface form Disambiguated ID Type / Status
Subject Imperial Japanese Navy Kure Naval District E477711 entity
Predicate hasCapital P204 FINISHED
Object Kure 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 | Statement: [Imperial Japanese Navy Kure Naval District, hasCapital, Kure]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kure
Context triple: [Imperial Japanese Navy Kure Naval District, hasCapital, Kure]
  • A. Kure chosen
    Kure is a Japanese port city in Hiroshima Prefecture known historically as a major naval base and shipbuilding center.
  • B. Kokura
    Kokura is a historic district in Kitakyushu, Japan, known for its castle, commercial center, and role as a former castle town and transport hub on Kyushu.
  • C. Shiohama
    Shiohama is a neighborhood located within Kōtō ward in Tokyo, Japan.
  • D. Toyokawa
    Toyokawa is a city in Aichi Prefecture, Japan, known for its historic Toyokawa Inari temple and manufacturing industries.
  • E. Kure Lagoon
    Kure Lagoon is a shallow, sheltered body of water enclosed by the coral reef of Kure Atoll in the Northwestern Hawaiian Islands, known for its rich marine biodiversity and protected habitat.
  • 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658dd869c81908aed91ee767f5f3d completed April 20, 2026, 4:48 p.m.
Created at: April 10, 2026, 1:52 p.m.