Triple

T6789145
Position Surface form Disambiguated ID Type / Status
Subject Wāli of Sudan E155887 entity
Predicate hasJurisdictionOver P808 FINISHED
Object Sennar E200409 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: Sennar | Statement: [Wāli of Sudan, hasJurisdictionOver, Sennar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sennar
Context triple: [Wāli of Sudan, hasJurisdictionOver, Sennar]
  • A. Sennar State chosen
    Sennar State is a region in southeastern Sudan known for its agricultural economy and historical significance as part of the former Funj Sultanate.
  • B. Zintan
    Zintan is a town in western Libya known for its role in the Libyan Civil War and for being controlled by powerful local militias.
  • C. Kassala
    Kassala is a city in eastern Sudan near the Eritrean border, known as a regional trade center and for its striking granite hills and cultural diversity.
  • D. Mekelle
    Mekelle is the largest city and administrative, economic, and cultural center of Ethiopia’s northern Tigray Region.
  • E. Dongola
    Dongola is a historic town in northern Sudan that served as a major political and cultural center of medieval Nubian kingdoms along the Nile.
  • 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_69c6881770fc8190972b2906390380f5 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2aa2e0c8190b994261826ae001d completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723cc35cc8190b5affdfd363171ba completed March 28, 2026, 12:41 a.m.
Created at: March 27, 2026, 2:14 p.m.