Triple

T14786446
Position Surface form Disambiguated ID Type / Status
Subject Anuak language E347537 entity
Predicate neighboringLanguages P16383 FINISHED
Object Nuer language E49681 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: Nuer language | Statement: [Anuak language, neighboringLanguages, Nuer language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nuer language
Context triple: [Anuak language, neighboringLanguages, Nuer language]
  • A. Nuer language chosen
    Nuer language is a Western Nilotic language spoken primarily by the Nuer people of South Sudan and western Ethiopia.
  • B. Dinka language
    The Dinka language is a Western Nilotic language spoken primarily by the Dinka people of South Sudan, known for its complex system of tones and vowel lengths.
  • C. Dinka–Nuer languages
    The Dinka–Nuer languages are a closely related group of Western Nilotic languages spoken primarily by the Dinka and Nuer peoples of South Sudan and surrounding regions.
  • D. Nyagbo language
    The Nyagbo language is a Niger-Congo language spoken by the Nyagbo people in the Volta Region of Ghana, closely related to other Ghana–Togo Mountain languages.
  • E. Nilotic languages
    Nilotic languages are a branch of the Nilo-Saharan language family spoken primarily along the Nile Valley and surrounding regions of East and Central Africa by various pastoralist and agricultural communities.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decaa083e481908336d58d026eec32 completed April 14, 2026, 11:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24b9e8a08190bc736ac207b77324 completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:31 a.m.