Triple

T21053702
Position Surface form Disambiguated ID Type / Status
Subject Ngulu language E518652 entity
Predicate neighboringLanguage P16383 FINISHED
Object Zigua 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: Zigua language | Statement: [Ngulu language, neighboringLanguage, Zigua language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zigua language
Context triple: [Ngulu language, neighboringLanguage, Zigua language]
  • A. Zigua language chosen
    The Zigua language is a Bantu language spoken primarily in northeastern Tanzania by the Zigua people.
  • B. 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.
  • C. Zaiwa language
    The Zaiwa language is a Tibeto-Burman language spoken primarily by the Zaiwa people in parts of Yunnan, China and northern Myanmar.
  • D. Tai Nüa language
    The Tai Nüa language is a Southwestern Tai language spoken primarily by the Tai Nüa people in parts of China and Southeast Asia, closely related to other Tai languages such as Thai and Lao.
  • E. Tujia language
    The Tujia language is a Sino-Tibetan language spoken primarily by the Tujia ethnic group in parts of central China, notably in mountainous areas of Hubei, Hunan, and neighboring provinces.
  • 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_69e0b5053ac48190921529544959e906 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fd7e087c81908712ddc63e8b1e6c completed April 21, 2026, 4:30 a.m.
Created at: April 16, 2026, 2:36 p.m.