Triple

T16344407
Position Surface form Disambiguated ID Type / Status
Subject Sasebo Japanese Garden E396893 entity
Predicate designedToShowcase P24206 FINISHED
Object Japanese landscaping 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: Japanese landscaping | Statement: [Sasebo Japanese Garden, designedToShowcase, Japanese landscaping]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: designedToShowcase
Context triple: [Sasebo Japanese Garden, designedToShowcase, Japanese landscaping]
  • A. designedToDemonstrate chosen
    Indicates that something was intentionally created or arranged for the purpose of showing, illustrating, or proving a particular concept, feature, or behavior.
  • B. helpedShowcase
    Indicates that one entity actively assisted in presenting, promoting, or displaying another entity to an audience.
  • C. isDesignedAs
    Indicates that something has been intentionally created or configured to serve as or function in the role of something else.
  • D. designedWith
    Indicates that one entity was created, planned, or developed using another entity as a tool, method, or guiding basis in its design process.
  • E. isDesignedFor
    Indicates that one entity has been created, planned, or optimized specifically to serve the needs, purposes, or use of another entity.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2da0c90e0819086f0a80a10cd79f3 completed April 18, 2026, 1:10 a.m.
PD Predicate disambiguation batch_69e226eba9b48190af6e80d3d1c2aed3 completed April 17, 2026, 12:26 p.m.
Created at: April 10, 2026, 5:07 a.m.