Triple

T6638007
Position Surface form Disambiguated ID Type / Status
Subject Sakizaya language E150505 entity
Predicate hasAlternativeName P39 FINISHED
Object Sakizaya E580799 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: Sakizaya | Statement: [Sakizaya language, hasAlternativeName, Sakizaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sakizaya
Context triple: [Sakizaya language, hasAlternativeName, Sakizaya]
  • A. Sakizaya chosen
    The Sakizaya are an indigenous ethnic group of Taiwan with their own distinct language, culture, and traditions, officially recognized by the Taiwanese government.
  • B. Wakakusa-yama
    Wakakusa-yama is a grass-covered hill in Nara, Japan, known for its panoramic views and the annual Yamayaki fire festival in which its slopes are set ablaze.
  • C. Suribachi-yama
    Suribachi-yama is a small volcanic hill on Iwo Jima, Japan, best known as the site of the iconic World War II flag-raising photograph by U.S. Marines.
  • D. Kurohime-yama
    Kurohime-yama is a subsidiary peak of Japan’s Mount Akagi, known as part of the volcanic mountain’s multi-summit range in Gunma Prefecture.
  • E. Kurohime-yama
    Kurohime-yama is a mountain in Japan, known for its scenic landscapes and popular hiking and skiing opportunities.
  • 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_69c687f0ceb08190bf40807bfc605fa5 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6aff082b0819089f5a69aa67d5346 completed March 27, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a30754cc8190beeb97b48c167a15 completed March 28, 2026, 9:44 a.m.
Created at: March 27, 2026, 2 p.m.