Triple

T8476721
Position Surface form Disambiguated ID Type / Status
Subject Kassala E200411 entity
Predicate isCapitalOf P204 FINISHED
Object Kassala State E737881 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: Kassala State | Statement: [Kassala, isCapitalOf, Kassala State]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kassala State
Context triple: [Kassala, isCapitalOf, Kassala State]
  • A. Kassala State, Sudan chosen
    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.
  • B. 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.
  • 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. 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.
  • E. 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.
  • 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_69ca831b17988190a1f3f3413d57b820 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe51e21548190811e3c7ba7b196e5 completed March 31, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce88c89a9081908445bbc531f500c9 completed April 2, 2026, 3:18 p.m.
Created at: March 30, 2026, 6:12 p.m.