Triple

T26401174
Position Surface form Disambiguated ID Type / Status
Subject Panemunė, Lithuania E663700 entity
Predicate riverFormsBorder P31306 FINISHED
Object Neman River 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: Neman River | Statement: [Panemunė, Lithuania, riverFormsBorder, Neman River]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: riverFormsBorder
Context triple: [Panemunė, Lithuania, riverFormsBorder, Neman River]
  • A. riverFormsBorderWith chosen
    Indicates that a river serves as a boundary line between two geographic or political entities.
  • B. formsBorderWithin
    Indicates that one entity constitutes a boundary or border located entirely within the spatial extent of another entity.
  • C. flowsAlongBorderWith
    Indicates that something, typically a fluid or current, moves in a path that runs adjacent to and follows the boundary shared with another entity.
  • D. formsBoundaryType
    Indicates that one entity serves as a specific type of boundary for another entity.
  • E. hasWaterBorderWith
    Indicates that two entities share a common boundary that runs along or across a body of water, such as a river, lake, or sea.
  • 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_69ee883823988190b418b111be28a44a completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f6562fd3488190be1acd8c526a28d2 completed May 2, 2026, 7:53 p.m.
PD Predicate disambiguation batch_69f651a731508190bb0c8c2462eba224 completed May 2, 2026, 7:33 p.m.
Created at: April 26, 2026, 11:32 p.m.