Triple

T351823
Position Surface form Disambiguated ID Type / Status
Subject Battle of the Coral Sea E7458 entity
Predicate shipSunk P821 FINISHED
Object Shōhō E48360 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: Shōhō | Statement: [Battle of the Coral Sea, shipSunk, Shōhō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shōhō
Context triple: [Battle of the Coral Sea, shipSunk, Shōhō]
  • A. Shōhō chosen
    Shōhō was a Japanese light aircraft carrier of the Imperial Japanese Navy during World War II, notable for being the first Japanese carrier sunk in the war during the Battle of the Coral Sea.
  • B. Harukichi
    Harukichi is a Japanese given name most notably borne by Harukichi Hyakutake, an Imperial Japanese Navy admiral during World War II.
  • C. Shōda
    Shōda is a Japanese surname notably borne by Michiko Shōda, who became Empress Michiko of Japan.
  • D. Yamamoto
    Yamamoto is a Japanese surname most famously associated with Admiral Isoroku Yamamoto, the commander-in-chief of the Imperial Japanese Navy during World War II.
  • E. Kodama Gentarō
    Kodama Gentarō was a Japanese general and statesman who served as Governor-General of Taiwan, playing a key role in establishing Japanese colonial administration there in the late 19th and early 20th centuries.
  • 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_69a2e7e696948190bebc966535995e45 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ee043fac8190af72291c04761687 completed Feb. 28, 2026, 1:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3fe8f7af481908942ab7872a45ab3 completed March 1, 2026, 8:53 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.