Triple

T34854902
Position Surface form Disambiguated ID Type / Status
Subject Ляби-Хауз E1004701 entity
Predicate типВодоёма P1011 FINISHED
Object искусственный бассейн 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: искусственный бассейн | Statement: [Ляби-Хауз, типВодоёма, искусственный бассейн]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: типВодоёма
Context triple: [Ляби-Хауз, типВодоёма, искусственный бассейн]
  • 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. hydronymType
    Indicates the specific type or category of a water-related geographical name (e.g., river, lake, sea) associated with a hydronym.
  • D. isFreshwaterBody
    Indicates that the referenced body of water consists primarily of non-saline (fresh) water rather than saltwater.
  • E. reservoirType
    Indicates the specific kind or classification of a reservoir associated with an entity.
  • 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_69f76dba76f0819090643cba102c41ec completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f782f4f10081908f97f6d0d2dbeec7 completed May 3, 2026, 5:16 p.m.
PD Predicate disambiguation batch_69f780ff71cc8190a67e71076fbad81a completed May 3, 2026, 5:08 p.m.
Created at: May 3, 2026, 4 p.m.