Triple

T2394344
Position Surface form Disambiguated ID Type / Status
Subject White Nile E47613 entity
Predicate majorCityOnRiver P316 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: [White Nile, majorCityOnRiver, Juba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juba
Context triple: [White Nile, majorCityOnRiver, 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_69a88a1c450c81909f61abb8b6863885 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc87827d88190bb2351a688e6de32 completed March 7, 2026, 6:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2b6e2cb8819086a9714bd4720ed0 completed March 9, 2026, 8:19 p.m.
Created at: March 4, 2026, 7:57 p.m.