Triple

T17416301
Position Surface form Disambiguated ID Type / Status
Subject Sir Reginald Wingate E423497 entity
Predicate sphereOfActivity P3 FINISHED
Object Sudan 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: Sudan | Statement: [Sir Reginald Wingate, sphereOfActivity, Sudan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sudan
Context triple: [Sir Reginald Wingate, sphereOfActivity, 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. Sudanese Republic
    The Sudanese Republic was the former name of the French West African territory that became the independent nation of Mali in 1960.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69d889d7d27c819088486ce3f0627fa1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44232ecdc8190ac8958c1780fea19 completed April 19, 2026, 2:47 a.m.
Created at: April 10, 2026, 5:46 a.m.