Triple

T11063174
Position Surface form Disambiguated ID Type / Status
Subject Epcot festival series E261557 entity
Predicate primarySeasonality P97591 FINISHED
Object year-round rotation of festivals 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: year-round rotation of festivals | Statement: [Epcot festival series, primarySeasonality, year-round rotation of festivals]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primarySeasonality
Context triple: [Epcot festival series, primarySeasonality, year-round rotation of festivals]
  • A. hasSeasonalPattern
    Indicates that the occurrence, intensity, or characteristics of something regularly vary according to a recurring seasonal cycle.
  • B. hasSeasonalStructure
    Indicates that something exhibits a recurring pattern, organization, or behavior that varies systematically with the seasons.
  • C. seasonalReversal
    Indicates a relationship where the usual seasonal pattern or effect between entities is inverted or occurs in the opposite manner from what is typically expected.
  • D. season
    Indicates that an entity participates in, is associated with, or occurs during a particular season or seasonal period.
  • E. hasSeasonalNature
    Indicates that something exhibits characteristics, behavior, or occurrence patterns that vary according to specific seasons or times of the year.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798eb838c819089a89c55209c0295 completed April 9, 2026, 12:17 p.m.
PD Predicate disambiguation batch_69d74411d9e881908c0eeafa0f38e4b6 completed April 9, 2026, 6:15 a.m.
PDg Predicate description generation batch_69d750c99f9881908ee2b01b6ce4b3a1 completed April 9, 2026, 7:10 a.m.
Created at: April 8, 2026, 9:26 p.m.