Triple

T11302729
Position Surface form Disambiguated ID Type / Status
Subject Southern Gur languages E267635 entity
Predicate hasLanguage P15 FINISHED
Object Kasem language E267646 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: Kasem language | Statement: [Southern Gur languages, hasLanguage, Kasem language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kasem language
Context triple: [Southern Gur languages, hasLanguage, Kasem language]
  • A. Kasem language chosen
    Kasem is a Gur language of the Niger-Congo family spoken primarily in parts of Burkina Faso and Ghana.
  • B. Kumzari language
    The Kumzari language is an endangered Southwestern Iranian language spoken primarily by the Kumzari people in the Musandam Peninsula of Oman.
  • C. Khwarshi language
    The Khwarshi language is a Northeast Caucasian (Nakh-Daghestanian) language spoken by a small ethnic group in Dagestan, Russia, known for its complex phonology and rich case system.
  • D. Kayeli language
    The Kayeli language is an Austronesian language once spoken on Buru Island in Indonesia, now critically endangered or possibly extinct.
  • E. Lundayeh language
    The Lundayeh language is an Austronesian language spoken by the Lundayeh (Lun Bawang) people of northern Borneo, primarily in parts of Malaysia and Indonesia.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9a5c3788190ba54eda514b97903 completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a57366081908a05fc52c5d4074c completed April 19, 2026, 5:01 p.m.
Created at: April 8, 2026, 9:32 p.m.