Triple

T6854646
Position Surface form Disambiguated ID Type / Status
Subject Ryukyuan music E158106 entity
Predicate language P15 FINISHED
Object Yonaguni language E534397 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: Yonaguni language | Statement: [Ryukyuan music, language, Yonaguni language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yonaguni language
Context triple: [Ryukyuan music, language, Yonaguni language]
  • A. Yonaguni language chosen
    The Yonaguni language is a highly endangered Ryukyuan language spoken on Japan’s Yonaguni Island, distinct from but related to Japanese and other Yaeyama languages.
  • B. Yaeyama language
    The Yaeyama language is a Southern Ryukyuan language spoken in Japan’s Yaeyama Islands, distinct from standard Japanese and recognized as endangered.
  • C. Kunigami language
    The Kunigami language is a Northern Ryukyuan language spoken in the northern part of Okinawa Island, Japan, and is considered distinct from standard Japanese and severely endangered.
  • D. Kawaiisu language
    Kawaiisu language is an endangered Uto-Aztecan language traditionally spoken by the Kawaiisu people of southern California.
  • E. Kayabí language
    The Kayabí language is an indigenous Tupian language spoken by the Kayabí people of Brazil, known for its role in preserving their cultural and linguistic heritage.
  • 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_69c6882fae988190864cbba788c5ebb4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d86d5a54819088537ada9f8d1105 completed March 27, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c758371abc81908908b1ab8538f54e completed March 28, 2026, 4:25 a.m.
Created at: March 27, 2026, 2:20 p.m.