Triple

T11114495
Position Surface form Disambiguated ID Type / Status
Subject Avokaya language E262848 entity
Predicate hasNeighboringLanguage P16383 FINISHED
Object Moru language E262316 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: Moru language | Statement: [Avokaya language, hasNeighboringLanguage, Moru language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moru language
Context triple: [Avokaya language, hasNeighboringLanguage, Moru language]
  • A. Moru language chosen
    The Moru language is a Central Sudanic language spoken primarily by the Moru people of South Sudan.
  • B. Mori language
    The Mori language is an Austronesian language of Sulawesi, Indonesia, encompassing several closely related varieties including Mori Atas.
  • C. 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.
  • D. Muria language
    Muria language is a Central Dravidian language spoken primarily by the Muria Gond tribal communities in central India, especially in parts of Chhattisgarh and Maharashtra.
  • E. Rarámuri language
    The Rarámuri language is an indigenous Uto-Aztecan language spoken by the Tarahumara (Rarámuri) people of northern Mexico.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79aa637888190935e852281408356 completed April 9, 2026, 12:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d7da99881908d38ea66c37dfb92 completed April 19, 2026, 1:18 a.m.
Created at: April 8, 2026, 9:27 p.m.