Triple

T25478957
Position Surface form Disambiguated ID Type / Status
Subject Yser basin E638511 entity
Predicate waterFlowsThrough P159762 FINISHED
Object western Belgium 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: western Belgium | Statement: [Yser basin, waterFlowsThrough, western Belgium]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: waterFlowsThrough
Context triple: [Yser basin, waterFlowsThrough, western Belgium]
  • A. waterFlowsThrough chosen
    Indicates that water moves along a path or channel passing from one location or object to another.
  • B. waterFlowRate
    Indicates the rate at which water moves or is transported through a given point or system over time.
  • C. waterExchangeThrough
    Indicates a relationship where water is transferred or shared between entities through a specific medium, pathway, or mechanism.
  • D. waterFlowDependsOn
    Indicates that the occurrence, direction, or amount of water flow is determined or constrained by another specified factor or condition.
  • E. waterDivertedThrough
    Indicates that the flow of water is intentionally redirected from its original course to pass through a specified structure, channel, or location.
  • 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_69e75db9b964819096802dcf502e577e completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5ffc74fa481909b4fe24a9337f9eb completed May 2, 2026, 1:44 p.m.
PD Predicate disambiguation batch_69f5f7f99dc08190afcfb3bc4dfbec1d completed May 2, 2026, 1:11 p.m.
Created at: April 21, 2026, 2:27 p.m.