Triple

T6184396
Position Surface form Disambiguated ID Type / Status
Subject Saisiyat language E138019 entity
Predicate hasDialect P4251 FINISHED
Object Tungho dialect E574285 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: Tungho dialect | Statement: [Saisiyat language, hasDialect, Tungho dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tungho dialect
Context triple: [Saisiyat language, hasDialect, Tungho dialect]
  • A. Bangang dialect
    The Bangang dialect is a regional variety of the Ghomalaʼ language spoken by the Bangang community in western Cameroon.
  • B. Chaoshan dialect
    The Chaoshan dialect, also known as Teochew, is a Southern Min Chinese variety spoken primarily in the Chaoshan region of eastern Guangdong and by large overseas Chinese communities in Southeast Asia and beyond.
  • C. Taai dialect chosen
    The Taai dialect is a regional variety of the Saisiyat language spoken by the indigenous Saisiyat people of Taiwan.
  • D. Vwang dialect
    The Vwang dialect is a regional variety of the Berom language spoken by Berom communities in parts of Plateau State, Nigeria.
  • E. Wuming dialect
    The Wuming dialect is a major variety of the Zhuang language that serves as the basis for its standardized form.
  • 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_69c008a8fd408190b7ec6e42934974a6 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c061020d148190ae2edf2b363f1e24 completed March 22, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16ef823348190a8ed68141857e28c completed March 23, 2026, 4:48 p.m.
Created at: March 22, 2026, 4:19 p.m.