Triple

T17579827
Position Surface form Disambiguated ID Type / Status
Subject Oubangui-Chari E428171 entity
Predicate namedAfter P63 FINISHED
Object Ubangi River NE NERFINISHED

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: Ubangi River | Statement: [Oubangui-Chari, namedAfter, Ubangi River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ubangi River
Context triple: [Oubangui-Chari, namedAfter, Ubangi River]
  • A. Ubangi River chosen
    The Ubangi River is a major Central African waterway that forms part of the border between the Democratic Republic of the Congo and the Central African Republic before joining the Congo River.
  • B. Uélé River
    The Uélé River is a major river in northeastern Democratic Republic of the Congo that forms part of the headwaters of the Ubangi River, a key tributary of the Congo River.
  • C. Ngama River
    The Ngama River is a tributary watercourse in Siberia that feeds into the Lower Tunguska River within the Yenisei River basin of Russia.
  • D. Gongola River
    The Gongola River is a major river in northeastern Nigeria that flows through the savanna region before joining the Benue River.
  • E. Odzi River
    The Odzi River is a significant river in eastern Zimbabwe that flows through Manicaland Province and contributes to the Save River system.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463cc493c8190965680cf786aa531 completed April 19, 2026, 5:10 a.m.
Created at: April 10, 2026, 5:50 a.m.