Triple

T5569218
Position Surface form Disambiguated ID Type / Status
Subject Yaeyama language E145954 entity
Predicate hasDialect P4251 FINISHED
Object Aragusuku dialect E543211 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: Aragusuku dialect | Statement: [Yaeyama language, hasDialect, Aragusuku dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aragusuku dialect
Context triple: [Yaeyama language, hasDialect, Aragusuku dialect]
  • A. Nochiya dialect
    The Nochiya dialect is a regional variety of Assyrian Neo-Aramaic traditionally spoken by Assyrian communities from the Nochiya area in southeastern Turkey.
  • B. Kuroshima dialect chosen
    The Kuroshima dialect is a local variety of the Yaeyama language spoken on Kuroshima Island in Okinawa, Japan, reflecting the island’s distinct Ryukyuan linguistic and cultural heritage.
  • C. Kamia dialect
    The Kamia dialect is a regional variety of the Ipai-Tipai language traditionally spoken by the Kamia (Kumeyaay) people of southern California and northern Baja California.
  • D. Gaika dialect
    The Gaika dialect is a regional variety of the Xhosa language traditionally associated with the amaGqika subgroup in South Africa.
  • E. Akusha dialect
    The Akusha dialect is a principal standardized variety of the Dargin language spoken in Dagestan, Russia.
  • 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_69c008fdae24819081aa002ad99cd966 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0204f0d288190b9d4884665ba9116 completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c097c0412c8190ac16cc7d03015293 completed March 23, 2026, 1:30 a.m.
Created at: March 22, 2026, 3:36 p.m.