Triple

T2791167
Position Surface form Disambiguated ID Type / Status
Subject Juba Arabic E61931 entity
Predicate primaryRegion P1103 FINISHED
Object Juba E112528 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: Juba | Statement: [Juba Arabic, primaryRegion, Juba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juba
Context triple: [Juba Arabic, primaryRegion, Juba]
  • A. Juba chosen
    Juba is the capital and largest city of South Sudan, serving as its political, economic, and administrative center.
  • B. Khartoum
    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.
  • C. 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.
  • D. Zintan
    Zintan is a town in western Libya known for its role in the Libyan Civil War and for being controlled by powerful local militias.
  • E. Dongola
    Dongola is a historic town in northern Sudan that served as a major political and cultural center of medieval Nubian kingdoms along the Nile.
  • 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_69ab4b7f51d881908768300ebd2fbdae completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abddcfe19c81908f94dd449f18a2c2 completed March 7, 2026, 8:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc65c1f848190b6efeefb64a3e131 completed March 10, 2026, 7:21 a.m.
Created at: March 6, 2026, 9:58 p.m.