Triple

T19447713
Position Surface form Disambiguated ID Type / Status
Subject Koya people E486524 entity
Predicate selfIdentification P4296 FINISHED
Object Koya 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: Koya | Statement: [Koya people, selfIdentification, Koya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koya
Context triple: [Koya people, selfIdentification, Koya]
  • A. Koya chosen
    Koya is a Dravidian language spoken primarily by the Koya tribal communities in parts of central and southern India.
  • B. Koya town
    Koya town is a historic settlement in Japan best known as the center of Shingon Buddhism and home to the sacred Mount Koya temple complex.
  • C. Kawasoe
    Kawasoe is a locality in Saga Prefecture, Japan, situated near Saga Airport and serving as part of the surrounding regional community.
  • D. Kuwahi
    Kuwahi is the Cherokee name for Clingmans Dome, the highest peak in Great Smoky Mountains National Park and one of the tallest mountains in the eastern United States.
  • E. Sakizaya
    The Sakizaya are an indigenous ethnic group of Taiwan with their own distinct language, culture, and traditions, officially recognized by the Taiwanese government.
  • 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6338b25d88190bc137a411576c73f completed April 20, 2026, 2:09 p.m.
Created at: April 10, 2026, 1:38 p.m.