Triple

T10662927
Position Surface form Disambiguated ID Type / Status
Subject Japanese Karafuto garrison E251272 entity
Predicate garrisonedIn P2911 FINISHED
Object Toyohara E769987 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: Toyohara | Statement: [Japanese Karafuto garrison, garrisonedIn, Toyohara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toyohara
Context triple: [Japanese Karafuto garrison, garrisonedIn, Toyohara]
  • A. Toyohara chosen
    Toyohara was the former Japanese name for the city now known as Yuzhno-Sakhalinsk on Sakhalin Island.
  • B. Katsukawa Shunshō
    Katsukawa Shunshō was an 18th-century Japanese ukiyo-e artist and influential teacher known for his actor prints and for shaping the early development of masters like Hokusai.
  • C. Tsuguharu
    Tsuguharu is the given name of Tsuguharu Foujita, a renowned 20th-century Japanese–French painter associated with the École de Paris.
  • D. Kuniyoshi Kuni
    Kuniyoshi Kuni was a Japanese prince of the Kuni-no-miya collateral branch of the Imperial Family during the late Meiji and Taishō periods.
  • E. Utagawa Toyohiro
    Utagawa Toyohiro was a Japanese ukiyo-e artist of the Utagawa school, known for his prints and paintings and for mentoring the famed landscape artist Utagawa Hiroshige.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f31db6288190857533213fa9f20d completed April 9, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d97a9566e08190a92b49ce73963078 completed April 10, 2026, 10:32 p.m.
Created at: April 8, 2026, 9:08 p.m.