Triple

T3113589
Position Surface form Disambiguated ID Type / Status
Subject Lake Albert E65005 entity
Predicate outflow P967 FINISHED
Object Albert Nile E47613 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: Albert Nile | Statement: [Lake Albert, outflow, Albert Nile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albert Nile
Context triple: [Lake Albert, outflow, Albert Nile]
  • A. Eau de Nil
    Eau de Nil is a pale, greyish-green color traditionally associated with refined luxury and classic British design.
  • B. Nile
    The Nile is a major north-flowing river in northeastern Africa, widely regarded as one of the longest rivers in the world and a crucial lifeline for the civilizations that have flourished along its banks.
  • C. White Nile chosen
    The White Nile is one of the two main tributaries of the Nile River, rising in the Great Lakes region of central Africa and flowing northward through countries such as South Sudan and Sudan.
  • D. Nile Nubian
    Nile Nubian is a modern Nubian language of the Nilo-Saharan family spoken along the Nile in southern Egypt and northern Sudan.
  • E. Dinka
    Dinka is a Nilotic language spoken primarily by the Dinka people of South Sudan.
  • 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_69ada43c79448190aa72f707319e8c5e completed March 8, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b354528b00819095fa9b8f28f2135c completed March 13, 2026, 12:03 a.m.
Created at: March 8, 2026, 3:04 p.m.