Triple

T3117293
Position Surface form Disambiguated ID Type / Status
Subject Lake Kyoga E65092 entity
Predicate hasOutflow P967 FINISHED
Object Victoria Nile E59770 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: Victoria Nile | Statement: [Lake Kyoga, hasOutflow, Victoria Nile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victoria Nile
Context triple: [Lake Kyoga, hasOutflow, Victoria Nile]
  • A. Victoria Nile chosen
    The Victoria Nile is the upper stretch of the Nile River system that flows northward from Lake Victoria through Uganda toward Lake Kyoga and Lake Albert.
  • B. Petronella Barker
    Petronella Barker is a British actress best known for her work in film and television during the 1960s and 1970s.
  • C. Elizabeth Barker
    Elizabeth Barker was the wife of Mayflower passenger and early Plymouth Colony leader Edward Winslow, making her part of the first generation of English settlers in New England.
  • D. Magdalene Shaw
    Magdalene Shaw is a sharp-witted, tough matriarch and career criminal in the Fast & Furious franchise, known as the mother of Deckard and Owen Shaw.
  • E. Katherine Thorn
    Katherine Thorn is a central character in the 1976 horror film "The Omen," portrayed as the adoptive mother of the sinister child Damien.
  • 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_69ad857fcc088190b0c4d45a5cde6f61 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada4e73cc88190846ef37ccf1a0de7 completed March 8, 2026, 4:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235a8949881908496a1413ffa2658 completed March 12, 2026, 3:40 a.m.
Created at: March 8, 2026, 3:04 p.m.