Triple

T31969547
Position Surface form Disambiguated ID Type / Status
Subject Магаданка E816272 entity
Predicate тип водного объекта P1011 FINISHED
Object река России 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: река России | Statement: [Магаданка, тип водного объекта, река России]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: тип водного объекта
Context triple: [Магаданка, тип водного объекта, река России]
  • A. waterbodyType chosen
    Indicates the classification of a water body according to its type (e.g., river, lake, ocean, etc.).
  • B. тип реки
    Indicates the classification or category of a river based on its characteristics or role.
  • C. watershedType
    Indicates the classification or category of a watershed associated with an entity (e.g., by hydrologic, ecological, or management type).
  • D. typeOfWaterfall
    Indicates that one entity is a specific kind or category of waterfall in relation to another entity.
  • E. locatedInWaterBodyType
    Indicates that an entity is situated within or on a body of water of a specified type (e.g., lake, river, ocean).
  • 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_69f348f5ae5481909da0247869f51955 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b307715881908825d891df5304e6 completed May 3, 2026, 2:29 a.m.
PD Predicate disambiguation batch_69f6b151ad008190836c1bcdec503ce2 completed May 3, 2026, 2:22 a.m.
Created at: May 1, 2026, 12:10 a.m.