Triple

T8476625
Position Surface form Disambiguated ID Type / Status
Subject Sennar State E200409 entity
Predicate locatedIn P40 FINISHED
Object Sudan E14363 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: Sudan | Statement: [Sennar State, locatedIn, Sudan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sudan
Context triple: [Sennar State, locatedIn, Sudan]
  • A. Sudan chosen
    Sudan is a large Northeast African country along the Nile River, known for its diverse cultures, ancient Nubian history, and a modern history marked by civil conflict and the secession of South Sudan.
  • B. South Sudan
    South Sudan is a landlocked country in East-Central Africa that gained independence from Sudan in 2011 and has since faced ongoing political instability and humanitarian challenges.
  • C. Nzara, Sudan
    Nzara, Sudan is a town in southwestern South Sudan notable as the site of the first recorded outbreak of Ebola virus disease in 1976.
  • D. 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.
  • E. Gezira State
    Gezira State is an agricultural region in east-central Sudan, known for the large-scale Gezira irrigation scheme between the Blue and White Nile rivers.
  • 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_69ce4dda5230819087ab2509eb958fc2 completed April 2, 2026, 11:07 a.m.
Created at: March 30, 2026, 6:12 p.m.