Triple

T20170486
Position Surface form Disambiguated ID Type / Status
Subject Hezhe E491944 entity
Predicate autonymLanguage P1435 FINISHED
Object Hezhe 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: Hezhe language | Statement: [Hezhe, autonymLanguage, Hezhe language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hezhe language
Context triple: [Hezhe, autonymLanguage, Hezhe language]
  • A. Hezhen language chosen
    The Hezhen language is a critically endangered Tungusic language spoken by the Hezhen (Nanai) people of northeastern China along the Amur and Ussuri rivers.
  • B. Chaoshan language
    The Chaoshan language is a Southern Min Chinese variety spoken primarily in the Chaoshan region of eastern Guangdong, known for its distinct phonology and strong cultural identity among Teochew and Swatow communities.
  • C. Buyi language
    The Buyi language is a Tai–Kadai language spoken primarily by the Buyi ethnic group in Guizhou and neighboring regions of southern China.
  • D. Rengma language
    Rengma language is a Tibeto-Burman language spoken primarily by the Rengma Naga people in the northeastern region of India.
  • E. Nyishi language
    The Nyishi language is a Tani (Tibeto-Burman) language spoken primarily by the Nyishi people of Arunachal Pradesh in northeastern India.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66847ed9481908e6b23b399fa7005 completed April 20, 2026, 5:54 p.m.
Created at: April 11, 2026, 11:35 p.m.