Triple

T32548590
Position Surface form Disambiguated ID Type / Status
Subject Nile–Congo divide E831910 entity
Predicate drainageOutcomeOnOtherSide P116582 FINISHED
Object Atlantic Ocean via Congo River LITERAL 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: Atlantic Ocean via Congo River | Statement: [Nile–Congo divide, drainageOutcomeOnOtherSide, Atlantic Ocean via Congo River]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: drainageOutcomeOnOtherSide
Context triple: [Nile–Congo divide, drainageOutcomeOnOtherSide, Atlantic Ocean via Congo River]
  • A. drainageResult
    Indicates the outcome or effect produced by a drainage process or activity.
  • B. drainageBasinOnOtherSide chosen
    Indicates that the drainage basin associated with one entity lies on the opposite side of a dividing feature (such as a watershed or boundary) from the drainage basin associated with another entity.
  • C. drainageStatus
    Indicates the condition or effectiveness of water removal or runoff from an area, surface, or system.
  • D. drainageAttemptedBy
    Indicates that an action to drain fluid or liquid from something was attempted by a specified agent or entity.
  • E. drainageBetween
    Indicates that one area or feature serves as a drainage path or channel between two other areas or features, allowing water or runoff to flow from one to the other.
  • F. None of above.

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_69f34925fd08819084cfe4ec566cb704 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c8159edc8190b1c87015e0c820e8 completed May 3, 2026, 3:59 a.m.
PD Predicate disambiguation batch_69f6c3f42fbc8190a06eb1044c9e6094 completed May 3, 2026, 3:41 a.m.
Created at: May 1, 2026, 1:02 a.m.