Triple

T9066868
Position Surface form Disambiguated ID Type / Status
Subject Bedawiyet E217265 entity
Predicate region P40 FINISHED
Object Eastern Sudan E326844 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: Eastern Sudan | Statement: [Bedawiyet, region, Eastern Sudan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eastern Sudan
Context triple: [Bedawiyet, region, Eastern Sudan]
  • A. eastern Sudan chosen
    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.
  • B. Northern Sudan
    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.
  • C. 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.
  • D. western Sudan
    Western Sudan is a region of Sudan characterized by its diverse ethnic groups, languages, and cultures, including communities that speak the Taman languages.
  • E. Darfur region
    The Darfur region is a conflict-affected area in western Sudan known for its ethnic diversity, humanitarian crises, and international peacekeeping interventions.
  • 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_69ca83d5a7f48190b16c1e59bd43ede0 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc94bde9c08190a4f568fbccc3c3e9 completed April 1, 2026, 3:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d017a3926881909140f59c60ec3588 completed April 3, 2026, 7:40 p.m.
Created at: March 30, 2026, 7:11 p.m.