Triple

T17615591
Position Surface form Disambiguated ID Type / Status
Subject K2 E429073 entity
Predicate hasBrandSegment P16877 FINISHED
Object K2 Snowboarding 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: K2 Snowboarding | Statement: [K2, hasBrandSegment, K2 Snowboarding]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: K2 Snowboarding
Context triple: [K2, hasBrandSegment, K2 Snowboarding]
  • A. K2 Snowboarding chosen
    K2 Snowboarding is a snowboarding brand known for producing a wide range of boards, boots, and bindings for riders of all levels.
  • B. Snowpark
    Snowpark is a developer framework from Snowflake that lets data engineers and data scientists write data pipelines and applications in languages like Python, Java, and Scala directly within the Snowflake data platform.
  • C. Snowgoons
    Snowgoons are a German hip hop production team known for their dark, orchestral boom-bap sound and collaborations with numerous underground rap artists worldwide.
  • D. Snowmads
    Snowmads are a Viking-themed animal invader faction that serves as the main enemy force in Donkey Kong Country: Tropical Freeze.
  • E. On the Boards
    On the Boards is a contemporary performing arts organization in Seattle known for presenting innovative, experimental theater, dance, and multimedia work.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d3174008190a2b5bb1b061ea4df completed April 19, 2026, 5:50 a.m.
Created at: April 10, 2026, 5:51 a.m.