Triple

T2394356
Position Surface form Disambiguated ID Type / Status
Subject White Nile E47613 entity
Predicate hasSectionName P627 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: [White Nile, hasSectionName, Victoria Nile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victoria Nile
Context triple: [White Nile, hasSectionName, 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. 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.
  • C. 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.
  • D. Maria Magdalena Keverich
    Maria Magdalena Keverich was a German woman best known as the mother of the composer Ludwig van Beethoven.
  • E. Antonia Hitchens
    Antonia Hitchens is a journalist and writer, known for her reported features and essays in publications such as The New Yorker and The New York Times.
  • 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_69aebf3a3a2c8190a29b8ce47e40c3f8 completed March 9, 2026, 12:38 p.m.
Created at: March 4, 2026, 7:57 p.m.