Triple

T29084426
Position Surface form Disambiguated ID Type / Status
Subject Haunted Mansion (Tokyo Disneyland) E734064 entity
Predicate seasonalOverlayPeriod P121771 FINISHED
Object Halloween to Christmas season 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: Halloween to Christmas season | Statement: [Haunted Mansion (Tokyo Disneyland), seasonalOverlayPeriod, Halloween to Christmas season]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: seasonalOverlayPeriod
Context triple: [Haunted Mansion (Tokyo Disneyland), seasonalOverlayPeriod, Halloween to Christmas season]
  • A. governsSeasonalPeriod
    Indicates that one entity determines, regulates, or defines the timing or characteristics of a specific seasonal period for another entity.
  • B. seasonalValidity chosen
    Indicates that something is valid, applicable, or in effect only during a specific season or set of seasons.
  • C. hasSeasonalPattern
    Indicates that the occurrence, intensity, or characteristics of something regularly vary according to a recurring seasonal cycle.
  • D. hasSeasonalStructure
    Indicates that something exhibits a recurring pattern, organization, or behavior that varies systematically with the seasons.
  • E. hasSeasonalRound
    Indicates a recurring, seasonally patterned cycle of movements, activities, or resource use associated with an entity over the course of a year.
  • F. None of above.

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_69f05b0c0f28819086eae6e84f2ae472 completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69f7465687bc8190a9da44d62b634ed7 completed May 3, 2026, 12:57 p.m.
PD Predicate disambiguation batch_69f743f4ceb08190a21fe7f4a99b166b completed May 3, 2026, 12:47 p.m.
Created at: April 28, 2026, 10:58 a.m.