Triple

T23447221
Position Surface form Disambiguated ID Type / Status
Subject Zuma E565570 entity
Predicate region P40 FINISHED
Object Northern Sudan NE NERFINISHED

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: Northern Sudan | Statement: [Zuma, region, Northern Sudan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Northern Sudan
Context triple: [Zuma, region, Northern Sudan]
  • A. Northern Sudan chosen
    Northern Sudan is the predominantly Arab and Muslim region of Sudan that historically formed the political and economic center of the country and was a primary party in Sudan’s north–south conflicts.
  • B. eastern Sudan
    Eastern Sudan is a region of Sudan along the Red Sea coast, known for its strategic port city of Port Sudan and its ethnically diverse, largely arid landscapes.
  • C. southeastern Sudan
    Southeastern Sudan is a largely rural, culturally diverse area of Sudan that includes parts of the Blue Nile region and borders Ethiopia and South Sudan.
  • D. Central Sudan
    Central Sudan is a historical region in north-central Africa encompassing parts of modern-day northern Nigeria and surrounding areas, known for its precolonial emirates and trans-Saharan trade networks.
  • E. east-central Sudan
    East-central Sudan is a region of Sudan characterized by fertile plains along the Blue Nile and significant agricultural activity, including major irrigation schemes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24584f9488190bb32730bd2ce023e completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a649f7e8819080aeb120afd57aad completed April 29, 2026, 6:33 a.m.
Created at: April 17, 2026, 5:51 p.m.