Triple

T22047929
Position Surface form Disambiguated ID Type / Status
Subject Bidayuhic languages E544809 entity
Predicate hasGlottologName P6521 FINISHED
Object Bidayuhic 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: Bidayuhic | Statement: [Bidayuhic languages, hasGlottologName, Bidayuhic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bidayuhic
Context triple: [Bidayuhic languages, hasGlottologName, Bidayuhic]
  • A. Bidayuh chosen
    Bidayuh is an indigenous ethnic group of Borneo, primarily in Sarawak, Malaysia, known for its distinct languages, traditional longhouse culture, and rich agricultural and ritual practices.
  • B. Gadong
    Gadong is a major commercial and entertainment hub in Brunei, known for its shopping centers, markets, and vibrant urban activity.
  • C. Menglembu
    Menglembu is a town in Perak, Malaysia, best known for its production of roasted groundnuts and its location near the city of Ipoh.
  • D. Gadjang
    Gadjang is an Aboriginal Australian language variety associated with the Worimi people of New South Wales.
  • E. Uduk
    Uduk are an indigenous ethnic group of northeastern Africa, primarily inhabiting the border regions of Sudan and Ethiopia, known for their distinct language and traditional agro-pastoral lifestyle.
  • 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_69e11e32445c8190ab97089b48a130bb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12830c674819080254d77ee02bc9f completed April 28, 2026, 9:35 p.m.
Created at: April 16, 2026, 8:26 p.m.