Triple

T21605510
Position Surface form Disambiguated ID Type / Status
Subject Miyako language E533159 entity
Predicate hasDialect P4251 FINISHED
Object Tarama dialect 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: Tarama dialect | Statement: [Miyako language, hasDialect, Tarama dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tarama dialect
Context triple: [Miyako language, hasDialect, Tarama dialect]
  • A. Tarama dialect chosen
    The Tarama dialect is a regional variety of the Japanese language spoken on Tarama Island in Okinawa Prefecture, known for its distinct phonology and vocabulary within the Miyako language group.
  • B. Turu dialect
    Turu dialect is a regional variety of the Berom language spoken by Berom communities in parts of central Nigeria.
  • C. Sari dialect
    The Sari dialect is a regional variety of the Mazanderani language spoken in and around the city of Sari in northern Iran.
  • D. Karanogai dialect
    The Karanogai dialect is a regional variety of the Nogai Turkic language spoken by Nogai communities, distinguished by its own phonetic and lexical features.
  • E. Nankani dialect
    The Nankani dialect is a regional variety of the Gur-language cluster spoken in northern Ghana and southern Burkina Faso, associated with the Nankani people.
  • 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_69e0c46364608190a337dc8720dc2a35 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef17e4a8088190bf51ab2af2369762 completed April 27, 2026, 8:01 a.m.
Created at: April 16, 2026, 6:33 p.m.