Triple

T15978434
Position Surface form Disambiguated ID Type / Status
Subject Sudanese Armed Forces E387509 entity
Predicate headquartersLocation P62 FINISHED
Object Khartoum E7633 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 | Statement: [Sudanese Armed Forces, headquartersLocation, Khartoum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khartoum
Context triple: [Sudanese Armed Forces, headquartersLocation, Khartoum]
  • A. Khartoum chosen
    Khartoum is the capital and largest city of Sudan, located at the confluence of the Blue and White Nile rivers and serving as a major political, economic, and cultural center in the region.
  • B. Juba
    Juba is a character in Joseph Addison’s tragedy "Cato," depicted as a noble Numidian prince whose honor and virtue contrast with the corruption of Rome.
  • C. Juba
    Juba is the capital and largest city of South Sudan, serving as its political, economic, and administrative center.
  • D. Omdurman
    Omdurman is a major city in Sudan, historically significant as a cultural and commercial center and effectively forming part of the country’s greater capital 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1575362e081909ff36e4d3c15ff2f completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3c9567c8190af87c3fcf8a4af15 completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:54 a.m.