Triple

T10489380
Position Surface form Disambiguated ID Type / Status
Subject Masalit language E247373 entity
Predicate region P40 FINISHED
Object West Darfur E256794 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: West Darfur | Statement: [Masalit language, region, West Darfur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: West Darfur
Context triple: [Masalit language, region, West Darfur]
  • 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. North Kordofan State
    North Kordofan State is a large, predominantly rural region in central Sudan known for its semi-arid savannah landscape, agriculture, and livestock herding.
  • C. Dongolawi
    Dongolawi is a Nubian language spoken primarily along the Nile in northern Sudan, known for its role in preserving the cultural and linguistic heritage of the Nubian people.
  • D. Khartoum state
    Khartoum state is a central administrative region of Sudan that encompasses the national capital and serves as the country’s political and economic hub.
  • E. 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.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5097ca5c081908b47a08ca7885650 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90dc44d7881908391487275b845bf completed April 10, 2026, 2:48 p.m.
Created at: April 6, 2026, 12:23 p.m.