Triple

T7759067
Position Surface form Disambiguated ID Type / Status
Subject Dinka E175971 entity
Predicate hasDialects P4251 FINISHED
Object Borghol Dinka E175971 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: Borghol Dinka | Statement: [Dinka, hasDialects, Borghol Dinka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Borghol Dinka
Context triple: [Dinka, hasDialects, Borghol Dinka]
  • A. Dinka chosen
    Dinka is a Nilotic language spoken primarily by the Dinka people of South Sudan.
  • B. Lak Nuer
    Lak Nuer is a dialect of the Nuer language spoken by a subgroup of the Nuer people in South Sudan and neighboring regions.
  • C. White Nile
    The White Nile is one of the two main tributaries of the Nile River, rising in the Great Lakes region of central Africa and flowing northward through countries such as South Sudan and Sudan.
  • D. Tekeze River
    The Tekeze River is a major river in the Horn of Africa that flows through northern Ethiopia and Eritrea, carving one of the deepest gorges in Africa before joining the Atbarah River.
  • E. Kidepo River
    The Kidepo River is a seasonal watercourse flowing through the remote savanna and rugged landscapes of northeastern Uganda and South Sudan, forming a key natural feature of Kidepo Valley National Park.
  • 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_69c6996180088190832e38e8d83ff54a completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703de43d08190ac28bc17cd3e5ffa completed March 27, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7cf538c8190aa86c27fff42efb0 completed March 29, 2026, 6:33 a.m.
Created at: March 27, 2026, 4:09 p.m.