Triple

T3093037
Position Surface form Disambiguated ID Type / Status
Subject Yokohama Landmark Tower E64526 entity
Predicate hasSeismicDesign P8962 FINISHED
Object Yes 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: Yes | Statement: [Yokohama Landmark Tower, hasSeismicDesign, Yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSeismicDesign
Context triple: [Yokohama Landmark Tower, hasSeismicDesign, Yes]
  • A. seismicDesign chosen
    Indicates that an entity is designed or engineered to withstand seismic activity or earthquake-related forces.
  • B. seismicRetrofit
    Indicates that an existing structure has been modified or strengthened to improve its performance and safety during seismic events such as earthquakes.
  • C. hasStructuralEngineer
    Indicates that an entity is associated with or employs a structural engineer responsible for its structural design, analysis, or integrity.
  • D. hasArchitecturalFeature
    Indicates that one entity possesses, includes, or is characterized by a specific architectural feature or element.
  • E. architecturalIntegrity
    Indicates that an entity maintains the coherence, stability, and consistency of its overall structural or design framework without compromising essential components or principles.
  • 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_69ad857c97d88190b26f9b1c90839c77 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada21055b88190b602425a513af7e6 completed March 8, 2026, 4:21 p.m.
PD Predicate disambiguation batch_69ad9ded78f881908be6fc0fb7c35764 completed March 8, 2026, 4:03 p.m.
Created at: March 8, 2026, 3:03 p.m.