Triple

T20822853
Position Surface form Disambiguated ID Type / Status
Subject JS Kaga E512620 entity
Predicate homeport P3150 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: [JS Kaga, homeport, Kure]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kure
Context triple: [JS Kaga, homeport, 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_69e0b4ce39108190a6e8e5df4f1c8dc5 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2fb49148190bdad1b51e7dac43a completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:41 p.m.