Triple

T6854644
Position Surface form Disambiguated ID Type / Status
Subject Ryukyuan music E158106 entity
Predicate language P15 FINISHED
Object Miyako language E533159 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: Miyako language | Statement: [Ryukyuan music, language, Miyako language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miyako language
Context triple: [Ryukyuan music, language, Miyako language]
  • A. Miyako language chosen
    The Miyako language is a Southern Ryukyuan language of Japan’s Okinawa Prefecture, spoken primarily on the Miyako Islands and noted for its distinct phonology and endangered status.
  • B. Mikasuki language
    The Mikasuki language is a Native American Muskogean language traditionally spoken by the Miccosukee and Seminole peoples of Florida.
  • C. Kawaiisu language
    Kawaiisu language is an endangered Uto-Aztecan language traditionally spoken by the Kawaiisu people of southern California.
  • D. Chimariko language
    The Chimariko language is an extinct Native American language once spoken in northwestern California, often classified within the proposed Hokan language family.
  • E. Akawaio language
    The Akawaio language is an indigenous Cariban language spoken by the Akawaio people of Guyana, Venezuela, and Brazil.
  • 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_69c748b977948190b60a85b93d61794a completed March 28, 2026, 3:19 a.m.
Created at: March 27, 2026, 2:20 p.m.