Triple

T6220821
Position Surface form Disambiguated ID Type / Status
Subject Dinka people E139107 entity
Predicate region P40 FINISHED
Object Greater Bahr el Ghazal E262129 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: Greater Bahr el Ghazal | Statement: [Dinka people, region, Greater Bahr el Ghazal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greater Bahr el Ghazal
Context triple: [Dinka people, region, Greater Bahr el Ghazal]
  • A. Bahr el Ghazal chosen
    Bahr el Ghazal is a major river and region in South Sudan that forms one of the principal western tributary systems of the White Nile.
  • B. Ubangi-Shari
    Ubangi-Shari was the French colonial territory in central Africa that later became the independent nation of the Central African Republic.
  • C. Ennedi
    Ennedi is a remote region in northeastern Chad renowned for its dramatic sandstone massifs, rock arches, and prehistoric rock art.
  • D. Dinka
    Dinka is a Nilotic language spoken primarily by the Dinka people of South Sudan.
  • E. Jonglei
    Jonglei is a large, predominantly rural state in eastern South Sudan known for its diverse ethnic groups, recurring intercommunal conflicts, and extensive wetlands along the White Nile.
  • 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_69c008aecb0c81909984b48f733ce8ae completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062bcc2348190806ed8c98bdfbf3e completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20dc349b481909ce369a82fa96412 completed March 24, 2026, 4:06 a.m.
Created at: March 22, 2026, 4:21 p.m.