Triple

T16783927
Position Surface form Disambiguated ID Type / Status
Subject Scimitar oryx E407921 entity
Predicate rangeCountryHistoric P63734 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: [Scimitar oryx, rangeCountryHistoric, Sudan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sudan
Context triple: [Scimitar oryx, rangeCountryHistoric, 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b218d31881908d896e688ebd171c completed April 18, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b283a9808190ba76110cf3c7f3a9 completed May 10, 2026, 4:29 p.m.
Created at: April 10, 2026, 5:22 a.m.