Triple

T25048077
Position Surface form Disambiguated ID Type / Status
Subject Savinja River E627298 entity
Predicate hasWaterfallAtSource P13549 FINISHED
Object Rinka Falls NE NERFINISHED

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: Rinka Falls | Statement: [Savinja River, hasWaterfallAtSource, Rinka Falls]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasWaterfallAtSource
Context triple: [Savinja River, hasWaterfallAtSource, Rinka Falls]
  • A. hasWaterfallType
    Indicates that one entity is characterized by or associated with a specific type or classification of waterfall.
  • B. hasWaterfall chosen
    Indicates that one entity possesses, contains, or features a waterfall associated with it.
  • C. hasHydrologicalSource
    Indicates that one entity serves as the hydrological origin or water source (e.g., spring, glacier, lake) from which another water body or hydrological feature arises or is fed.
  • D. hasWatershedWith
    Indicates that two geographic areas share or are associated with the same watershed or drainage basin.
  • E. hasWatershed
    Indicates that one geographic area or feature is part of, drains into, or is hydrologically defined by a particular watershed.
  • 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_69e2ff2b4c80819087c916b2b16241b9 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f48b9b687881908fd87a2f5fa0b1e7 completed May 1, 2026, 11:16 a.m.
PD Predicate disambiguation batch_69f48060597c8190a4414e4e4fcb1fec completed May 1, 2026, 10:28 a.m.
Created at: April 18, 2026, 6:08 a.m.