Triple

T17750256
Position Surface form Disambiguated ID Type / Status
Subject Kotelnica Białczańska E443092 entity
Predicate hasArtificialSnow P128645 FINISHED
Object true 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: true | Statement: [Kotelnica Białczańska, hasArtificialSnow, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasArtificialSnow
Context triple: [Kotelnica Białczańska, hasArtificialSnow, true]
  • A. hasSnowfall
    Indicates that a location or area experiences or contains snowfall.
  • B. hasSnowAndIce
    Indicates that the subject is covered with or contains both snow and ice.
  • C. hasSnowIn
    Indicates that snow is present or occurs within a specified location or region.
  • D. hasSnowfield
    Indicates that an entity possesses, contains, or is characterized by a snow-covered field or area.
  • E. hasSnowType
    Indicates that something possesses or is characterized by a particular type or category of snow.
  • F. None of above. chosen

Provenance (4 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4841a401c8190ae1dc0ed7ae4cc26 completed April 19, 2026, 7:28 a.m.
PD Predicate disambiguation batch_69e3cde9dc288190af0e2198487f2051 completed April 18, 2026, 6:31 p.m.
PDg Predicate description generation batch_69e3cfaac2b881909e1140339eb1a0dd completed April 18, 2026, 6:38 p.m.
Created at: April 10, 2026, 10:10 a.m.