Triple

T20869001
Position Surface form Disambiguated ID Type / Status
Subject Sudanese campaigns of Muhammad Ali E513840 entity
Predicate location P40 FINISHED
Object Sennar NE NERFINISHED

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: [Sudanese campaigns of Muhammad Ali, location, Sennar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sennar
Context triple: [Sudanese campaigns of Muhammad Ali, location, Sennar]
  • A. Sennar city chosen
    Sennar city is an urban center in southeastern Sudan historically known as the capital of the Funj Sultanate and now an important town on the Blue Nile.
  • B. Sennar State
    Sennar State is a region in southeastern Sudan known for its agricultural economy and historical significance as part of the former Funj Sultanate.
  • C. 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.
  • D. 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.
  • E. Mekelle
    Mekelle is the largest city and administrative, economic, and cultural center of Ethiopia’s northern Tigray Region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4f675cc8190b4e745225b62eb66 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c4624ce48190b85e5bb24cf0a305 completed April 21, 2026, 12:27 a.m.
Created at: April 16, 2026, 12:45 p.m.