Triple

T15514084
Position Surface form Disambiguated ID Type / Status
Subject WinterFest (Worlds of Fun) E368788 entity
Predicate name P16 FINISHED
Object WinterFest E368788 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: WinterFest | Statement: [WinterFest (Worlds of Fun), name, WinterFest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WinterFest
Context triple: [WinterFest (Worlds of Fun), name, WinterFest]
  • A. WinterFest
    WinterFest is a large-scale winter holiday celebration at Canada's Wonderland featuring festive lights, themed entertainment, seasonal food, and family-friendly activities.
  • B. WinterFest chosen
    WinterFest is a large holiday-themed winter celebration at the Worlds of Fun amusement park, featuring seasonal entertainment, decorations, and special attractions.
  • C. WinterFest
    WinterFest is Carowinds' annual holiday-themed celebration featuring festive lights, seasonal entertainment, and special winter attractions.
  • D. WinterFest
    WinterFest is a seasonal holiday-themed event at California’s Great America featuring festive lights, entertainment, and winter attractions.
  • E. Winter Festival
    Winter Festival is an annual cold-weather community celebration in Cedarburg, Wisconsin, featuring seasonal activities, entertainment, and local traditions.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e04031e62c8190953b61207142af15 completed April 16, 2026, 1:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d4edee481908382ca5cd266f7b0 completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 4:02 a.m.