Triple

T3055466
Position Surface form Disambiguated ID Type / Status
Subject Dinka language E60468 entity
Predicate closelyRelatedTo P37 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: [Dinka language, closelyRelatedTo, Nuer language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nuer language
Context triple: [Dinka language, closelyRelatedTo, 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. 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.
  • D. Nupe language
    The Nupe language is a Niger-Congo language spoken primarily by the Nupe people in central Nigeria, especially in the Middle Belt region.
  • E. Murle language
    The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of South 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_69ad8578137c81908259dcb27c7d6d7c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9bf6b9948190bc957bfd1579c471 completed March 8, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ef03425c8190a44486ab563c210f completed March 11, 2026, 10:38 p.m.
Created at: March 8, 2026, 3:02 p.m.