Triple

T13148635
Position Surface form Disambiguated ID Type / Status
Subject Vanilla Dome E312403 entity
Predicate hasOverworldTheme P7259 FINISHED
Object Vanilla Dome overworld music 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: Vanilla Dome overworld music | Statement: [Vanilla Dome, hasOverworldTheme, Vanilla Dome overworld music]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOverworldTheme
Context triple: [Vanilla Dome, hasOverworldTheme, Vanilla Dome overworld music]
  • A. hasThemeSong chosen
    Indicates that an entity is associated with or characterized by a particular theme song.
  • B. hasThemedLand
    Indicates that one entity (typically a larger venue or park) includes or is composed of a specific themed land or area as part of its layout or structure.
  • C. hasDoppelgangerTheme
    Indicates that something features or involves a doppelganger-related theme, such as doubles, look-alikes, or mirrored identities.
  • D. hasTympanumTheme
    Indicates that a subject features a specific thematic or narrative motif depicted in its tympanum (the semi-circular or triangular decorative space above a doorway or entrance).
  • E. hasThemePark
    Indicates that one entity owns, contains, or is associated with a theme park as part of its properties or offerings.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf054f88190b05ced98d5a22a62 completed April 10, 2026, 11:51 p.m.
PD Predicate disambiguation batch_69d98bbd1d088190b7c69f37fc6eeb64 completed April 10, 2026, 11:46 p.m.
Created at: April 9, 2026, 9:11 p.m.