Triple

T10952774
Position Surface form Disambiguated ID Type / Status
Subject Omar al-Bashir E258764 entity
Predicate iccSituation P57811 FINISHED
Object Darfur, Sudan E256794 NE FINISHED

How this triple was built (3 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: Darfur, Sudan | Statement: [Omar al-Bashir, iccSituation, Darfur, Sudan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darfur, Sudan
Context triple: [Omar al-Bashir, iccSituation, Darfur, Sudan]
  • A. Darfur region chosen
    The Darfur region is a conflict-affected area in western Sudan known for its ethnic diversity, humanitarian crises, and international peacekeeping interventions.
  • B. Nzara, Sudan
    Nzara, Sudan is a town in southwestern South Sudan notable as the site of the first recorded outbreak of Ebola virus disease in 1976.
  • C. Rufa'a, Sudan
    Rufa'a, Sudan is a town on the Blue Nile in central Sudan known as an agricultural and trading center and the birthplace of reformist Islamic thinker Mahmoud Mohammed Taha.
  • D. Kassala State, Sudan
    Kassala State is an eastern region of Sudan bordering Eritrea and Ethiopia, known for its diverse ethnic communities, agricultural economy, and the city of Kassala at the foot of the Taka Mountains.
  • E. Sudan
    Sudan is a large Northeast African country along the Nile River, known for its diverse cultures, ancient Nubian history, and a modern history marked by civil conflict and the secession of South Sudan.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: iccSituation
Context triple: [Omar al-Bashir, iccSituation, Darfur, Sudan]
  • A. snapSituation
    Indicates a situation or context in which a sudden, decisive, or snapshot-like event or state occurs between entities.
  • B. refersSituationTo
    Indicates that one entity directs or assigns a situation, case, or matter to another entity for attention, handling, or further action.
  • C. situates
    Indicates that one entity places or locates another entity within a particular spatial, contextual, or conceptual setting.
  • D. ICCStatus chosen
    Indicates the current standing or classification of an entity with respect to the International Criminal Court (ICC), such as whether it is under investigation, indicted, convicted, or not subject to ICC proceedings.
  • E. typicalCircumstance
    Indicates the usual or commonly occurring situation, condition, or context in which an event, action, or relationship typically takes place.
  • F. None of above.

Provenance (4 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770fcfb3c8190b7823869670184a6 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e54263e930819099524917506c7eab completed April 19, 2026, 9 p.m.
PD Predicate disambiguation batch_69d72e874f48819096ffa878f90c7d5b completed April 9, 2026, 4:43 a.m.
Created at: April 8, 2026, 9:23 p.m.