Triple

T2360614
Position Surface form Disambiguated ID Type / Status
Subject University of Khartoum E47262 entity
Predicate locatedIn P40 FINISHED
Object Khartoum State E56936 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: Khartoum State | Statement: [University of Khartoum, locatedIn, Khartoum State]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khartoum State
Context triple: [University of Khartoum, locatedIn, Khartoum State]
  • A. Khartoum state chosen
    Khartoum state is a central administrative region of Sudan that encompasses the national capital and serves as the country’s political and economic hub.
  • 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. Blue Nile State
    Blue Nile State is a region in southeastern Sudan known for its fertile riverine landscapes, ethnic diversity, and history of conflict and political marginalization.
  • D. Dawadmi Governorate
    Dawadmi Governorate is an administrative region in central Saudi Arabia known for its historical sites and location within the broader Riyadh area.
  • E. Khartoum North
    Khartoum North is a major city in Sudan forming part of the tri-city metropolitan area with Khartoum and Omdurman, known as an important industrial and commercial center.
  • 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_69a88a1a4a6081908645b0f2914521ab completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc722ac3c819091f4316a4a166a77 completed March 7, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae963b84f08190b3ca60db98dd8745 completed March 9, 2026, 9:43 a.m.
Created at: March 4, 2026, 7:55 p.m.