Triple

T10642957
Position Surface form Disambiguated ID Type / Status
Subject Finno-Ugric peoples E250767 entity
Predicate includesLanguage P2177 FINISHED
Object Moksha language E149565 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: Moksha language | Statement: [Finno-Ugric peoples, includesLanguage, Moksha language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moksha language
Context triple: [Finno-Ugric peoples, includesLanguage, Moksha language]
  • A. Moksha language chosen
    The Moksha language is a Uralic language spoken primarily by the Moksha people in central Russia, noted for its complex grammar and close relation to the Erzya language.
  • B. Mota language
    Mota language is an Oceanic language of Vanuatu historically notable as an early Christian mission lingua franca in the region.
  • C. Momo languages
    Momo languages are a small subgroup of Bantoid languages spoken in western Cameroon, closely related to other Grassfields languages.
  • D. Moxo language
    The Moxo language is an indigenous Arawakan language spoken by the Moxo (Mojo) people of Bolivia’s lowland regions.
  • E. Molbog language
    The Molbog language is an Austronesian language spoken by the Molbog people of southern Palawan in the Philippines and parts of northern Borneo.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfcf65fc81909a0c86daefaab1ab completed April 8, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a4555e48190be39c0a7698b4282 completed April 10, 2026, 10:31 p.m.
Created at: April 8, 2026, 9:05 p.m.