Triple

T10559334
Position Surface form Disambiguated ID Type / Status
Subject X Games E249172 entity
Predicate hasHeldEventsIn P22468 FINISHED
Object Aspen E186546 NE 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: Aspen | Statement: [X Games, hasHeldEventsIn, Aspen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aspen
Context triple: [X Games, hasHeldEventsIn, Aspen]
  • A. Aspen, Colorado chosen
    Aspen, Colorado is a renowned Rocky Mountain resort town in Colorado known for its world-class skiing, upscale tourism, and vibrant cultural scene.
  • B. Vail
    Vail is a renowned Colorado mountain town best known for its large ski resort and upscale alpine tourism.
  • C. Sun Valley
    Sun Valley is a working-class neighborhood in the San Fernando Valley region of Los Angeles known for its industrial areas, residential communities, and proximity to major freeways.
  • D. Sun Valley
    Sun Valley is the internal codename Microsoft used for the major user interface redesign that debuted with Windows 11.
  • E. Breckenridge, Colorado
    Breckenridge, Colorado is a historic Rocky Mountain town and popular year-round tourist destination known for its world-class skiing, vibrant Main Street, and outdoor recreation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5280da8bc8190a2a7c90dbc17ea70 completed April 7, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95e6e28a481909a90059e6ce51f6d completed April 10, 2026, 8:32 p.m.
Created at: April 6, 2026, 12:35 p.m.