Triple

T24909958
Position Surface form Disambiguated ID Type / Status
Subject Шешупе E623818 entity
Predicate крупныйПриток P415 FINISHED
Object Ширвина 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: Ширвина | Statement: [Шешупе, крупныйПриток, Ширвина]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: крупныйПриток
Context triple: [Шешупе, крупныйПриток, Ширвина]
  • A. isMajorWatercourseOf
    Indicates that a watercourse is a primary or significant river or stream associated with, or flowing through, a particular geographic area or feature.
  • B. тип реки
    Indicates the classification or category of a river based on its characteristics or role.
  • C. tributary chosen
    Indicates that one watercourse flows into and feeds another, contributing its water to a larger stream, river, or lake.
  • D. largestInflowRiver
    Indicates that one river has the greatest volume of water flowing into a specified body (such as a lake, sea, or another river) compared to all other contributing rivers.
  • E. upstreamRiver
    Indicates that one river is located or flows in an upstream direction relative to another river within the same watercourse system.
  • 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_69e2fac889c081908e9ff686cb428e5a completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f44a417a58819081777e18dda149fd completed May 1, 2026, 6:37 a.m.
PD Predicate disambiguation batch_69f442b8479c8190a7c8e416ac9e28a0 completed May 1, 2026, 6:05 a.m.
Created at: April 18, 2026, 5:27 a.m.