Triple

T12528488
Position Surface form Disambiguated ID Type / Status
Subject Okinawa Ocean Expo E299497 entity
Predicate hadPavilionType P55706 FINISHED
Object national pavilions 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: national pavilions | Statement: [Okinawa Ocean Expo, hadPavilionType, national pavilions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadPavilionType
Context triple: [Okinawa Ocean Expo, hadPavilionType, national pavilions]
  • A. hasPavilion
    Indicates that one entity possesses, includes, or is associated with a pavilion as part of its structure, property, or facilities.
  • B. hasPavilionFunction
    Indicates that something serves the role or function of a pavilion, such as providing a designated space or facility for specific activities or purposes.
  • C. hasThematicPavilion chosen
    Indicates that an entity includes or is associated with a specific thematic pavilion as part of its structure or offerings.
  • D. home venue type
    Indicates the kind or category of place that serves as the primary location where an entity regularly hosts its events or activities.
  • E. designedFacilityType
    Indicates the type or category of facility that something (such as a plan, system, or component) is specifically designed for.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95f5507b481908d13cc317b7402f6 completed April 10, 2026, 8:36 p.m.
PD Predicate disambiguation batch_69d9540d7b788190a0d57b098e90e491 completed April 10, 2026, 7:48 p.m.
Created at: April 8, 2026, 9:57 p.m.