Triple

T26606925
Position Surface form Disambiguated ID Type / Status
Subject The Big Shuffle E667803 entity
Predicate hasThematicApproach P62989 FINISHED
Object characteristic of Uncommon Ritual 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: characteristic of Uncommon Ritual | Statement: [The Big Shuffle, hasThematicApproach, characteristic of Uncommon Ritual]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasThematicApproach
Context triple: [The Big Shuffle, hasThematicApproach, characteristic of Uncommon Ritual]
  • A. hasThematicOrigin
    Indicates that something originates from, or is thematically derived from, a particular source, subject, or theme.
  • B. hasThematicConcern chosen
    Indicates that one entity (such as a work, text, or discourse) centrally involves, addresses, or focuses on a particular theme, issue, or subject as a primary concern.
  • C. thematicTreatment
    Indicates that one entity serves as the thematic focus, subject, or central topic treated, addressed, or explored by another entity.
  • D. hasCentralTheme
    Indicates that one entity serves as the primary or dominant theme or subject matter of another entity.
  • E. hasThematicPavilion
    Indicates that an entity includes or is associated with a specific thematic pavilion as part of its structure 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_69ee9cfd20348190bb1255d2603efb7a completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f63fd6c68481908c542aa03e297b9c completed May 2, 2026, 6:17 p.m.
PD Predicate disambiguation batch_69f63c663be481908f233d25d28713a4 completed May 2, 2026, 6:03 p.m.
Created at: April 27, 2026, 2:15 a.m.