Triple

T18316650
Position Surface form Disambiguated ID Type / Status
Subject Nikkei jin E438766 entity
Predicate hasSubgroup P747 FINISHED
Object Japanese in France 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: Japanese in France | Statement: [Nikkei jin, hasSubgroup, Japanese in France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Japanese in France
Context triple: [Nikkei jin, hasSubgroup, Japanese in France]
  • A. Hoisanese
    Hoisanese is a Yue Chinese dialect spoken primarily by people from Taishan in Guangdong, China, and their overseas communities.
  • B. Yapese people
    The Yapese people are an indigenous Micronesian ethnic group of the Yap Islands, known for their distinctive stone money, seafaring traditions, and rich ceremonial culture.
  • C. Japanese diaspora chosen
    The Japanese diaspora comprises communities of people of Japanese ancestry living outside Japan, formed through historical and contemporary migration to countries around the world.
  • D. Japanese
    Japanese is the national language of Japan, a Japonic language known for its complex writing system combining kanji and kana.
  • E. Nippon Eitaigura
    Nippon Eitaigura is a late 17th-century Japanese ukiyo-zōshi story collection by Ihara Saikaku that vividly portrays the lives and fortunes of Osaka merchants.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5021e61008190a300b6c51976a837 completed April 19, 2026, 4:26 p.m.
Created at: April 10, 2026, 10:36 a.m.