Triple

T8710113
Position Surface form Disambiguated ID Type / Status
Subject Digil E206752 entity
Predicate region P40 FINISHED
Object Middle Juba region E753675 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: Middle Juba region | Statement: [Digil, region, Middle Juba region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Middle Juba region
Context triple: [Digil, region, Middle Juba region]
  • A. Middle Juba region chosen
    Middle Juba region is an administrative region in southern Somalia, known for its agricultural areas along the Juba River and its predominantly Maay-speaking population.
  • B. Karamoja region
    The Karamoja region is a remote, semi-arid area in northeastern Uganda known for its pastoralist communities, rugged landscapes, and significant wildlife conservation areas.
  • C. Anseba Region
    Anseba Region is an administrative region in Eritrea known for its diverse ethnic communities, including the Bilen people, and its mix of highland and lowland landscapes.
  • D. Nyanza region
    Nyanza region is an area in western Kenya along Lake Victoria, known for its predominantly Luo population and the city of Kisumu as its main urban center.
  • E. 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.
  • 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_69ca835645e881908f00e3c8b51da81d completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5c3034708190b895eaf890d62198 completed March 31, 2026, 11:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf4290a25c81908f62e91b6d363419 completed April 3, 2026, 4:31 a.m.
Created at: March 30, 2026, 6:35 p.m.