Triple

T22888484
Position Surface form Disambiguated ID Type / Status
Subject Kikai dialect E567669 entity
Predicate subdivisionOf P258 FINISHED
Object Amami language 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: Amami language | Statement: [Kikai dialect, subdivisionOf, Amami language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amami language
Context triple: [Kikai dialect, subdivisionOf, Amami language]
  • A. Amami language chosen
    The Amami language is a Ryukyuan language spoken in Japan’s Amami Islands, known for its endangered status and distinct phonology and grammar within the Japonic language family.
  • B. Akawaio language
    The Akawaio language is an indigenous Cariban language spoken by the Akawaio people of Guyana, Venezuela, and Brazil.
  • C. Tanema language
    Tanema is a nearly extinct Oceanic language once spoken on Vanikoro Island in the Temotu Province of the Solomon Islands.
  • D. Tokunoshima language
    The Tokunoshima language is a Ryukyuan language spoken on Tokunoshima Island in Japan’s Amami Islands, known for its distinct phonology and grammar that set it apart from standard Japanese.
  • E. Amarakaeri language
    The Amarakaeri language is an indigenous Harakmbut language spoken by the Amarakaeri people of the Peruvian Amazon.
  • 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_69e2458a92ec81908fc1cd5f6407d2ab completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17fc37a448190996e106aacc900f4 completed April 29, 2026, 3:49 a.m.
Created at: April 17, 2026, 3:40 p.m.