Triple

T15655424
Position Surface form Disambiguated ID Type / Status
Subject Hill Mari language E376425 entity
Predicate closelyRelatedTo P37 FINISHED
Object Meadow Mari language E376424 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: Meadow Mari language | Statement: [Hill Mari language, closelyRelatedTo, Meadow Mari language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meadow Mari language
Context triple: [Hill Mari language, closelyRelatedTo, Meadow Mari language]
  • A. Meadow Mari language chosen
    Meadow Mari is a Uralic (Finno-Ugric) language spoken primarily by the Mari people in the central Volga region of Russia.
  • B. Hill Mari language
    Hill Mari is a Uralic (Finno-Ugric) language spoken by the Hill Mari people in the Mari El Republic of Russia.
  • C. Marsela language
    The Marsela language is an Austronesian language spoken on Marsela Island in the Maluku province of Indonesia.
  • D. Marda language
    The Marda language is a lesser-known Nilo-Saharan language variety spoken by the Kunama people in parts of the Horn of Africa.
  • E. Mararit language
    The Mararit language is a lesser-known Nilo-Saharan language spoken by the Mararit people in parts of Chad and Sudan.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ef1f83c8190bbf65eed162cbd55 completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff67994fbc819090f2da267888e8fb completed May 9, 2026, 4:58 p.m.
Created at: April 10, 2026, 4:15 a.m.