Triple

T23094355
Position Surface form Disambiguated ID Type / Status
Subject Kuki-Chin group E575842 entity
Predicate hasMemberLanguage P7390 FINISHED
Object Tedim 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: Tedim language | Statement: [Kuki-Chin group, hasMemberLanguage, Tedim language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tedim language
Context triple: [Kuki-Chin group, hasMemberLanguage, Tedim language]
  • A. Tedim language chosen
    The Tedim language is a Kuki-Chin language spoken primarily by the Tedim (Zomi) people in northwestern Myanmar and neighboring regions of India.
  • B. Temiar language
    The Temiar language is an Austroasiatic Aslian language spoken by the Temiar people of Peninsular Malaysia, known for its complex phonology and rich oral tradition.
  • C. Tedaga language
    The Tedaga language is a Saharan language spoken primarily by the Teda (Tubu) people of northern Chad and southern Libya.
  • D. Tirma language
    The Tirma language is a lesser-known Surmic language spoken by the Tirma people of southwestern Ethiopia.
  • E. Terik language
    The Terik language is a Southern Nilotic language spoken by the Terik people of western Kenya, closely associated with neighboring Kalenjin groups such as the Kipsigis.
  • 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_69e245c060b48190a9bd61a47a16db17 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18de2ed088190971ff08c58b15aad completed April 29, 2026, 4:49 a.m.
Created at: April 17, 2026, 3:57 p.m.