Triple

T22354004
Position Surface form Disambiguated ID Type / Status
Subject Ren’ai Township E552603 entity
Predicate hasLanguage P15 FINISHED
Object Seediq 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: Seediq language | Statement: [Ren’ai Township, hasLanguage, Seediq language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seediq language
Context triple: [Ren’ai Township, hasLanguage, Seediq language]
  • A. Seediq language chosen
    The Seediq language is an Austronesian language spoken by the Seediq indigenous people of central Taiwan, known for its complex verb morphology and rich system of focus and voice.
  • B. Segai language
    The Segai language is an Austronesian language spoken by the Segai people of Borneo, belonging to the Kayanic subgroup.
  • C. Semai language
    The Semai language is an Austroasiatic language spoken by the Semai people, an indigenous Orang Asli group in Peninsular Malaysia.
  • D. Sidama language
    The Sidama language is a Cushitic language spoken primarily by the Sidama people in southern Ethiopia.
  • E. Shekkacho language
    The Shekkacho language is an Afroasiatic Omotic language spoken primarily by the Shekka people in the Sheka Zone of southwestern Ethiopia.
  • 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_69e11e4a0ad08190a385b4d343cf6524 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f157ceb2308190941f6507e605a612 completed April 29, 2026, 12:58 a.m.
Created at: April 16, 2026, 8:44 p.m.