Triple

T5490716
Position Surface form Disambiguated ID Type / Status
Subject City Creek Center E123692 entity
Predicate environmentalDesignFeature P57584 FINISHED
Object energy-efficient systems 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: energy-efficient systems | Statement: [City Creek Center, environmentalDesignFeature, energy-efficient systems]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: environmentalDesignFeature
Context triple: [City Creek Center, environmentalDesignFeature, energy-efficient systems]
  • A. designedFeature chosen
    Indicates that one entity is a feature or component intentionally planned, created, or specified by another entity as part of a design.
  • B. ornamentalFeature
    Indicates that one entity serves as a decorative or embellishing feature of another entity.
  • C. featuresDecor
    Indicates that one entity includes or showcases the decor elements provided or defined by another entity.
  • D. exteriorFeature
    Indicates a relationship where one entity serves as an external or outward-facing feature, element, or characteristic of another entity.
  • E. previousDesignFeature
    Indicates that one design feature precedes another in a sequence or earlier version of a design.
  • 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_69bd464a2d908190869324ce176779c8 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd927f198c8190889b555be9bf9765 completed March 20, 2026, 6:31 p.m.
PD Predicate disambiguation batch_69bd91a8df6481908d1643f7342fe6f0 completed March 20, 2026, 6:27 p.m.
Created at: March 20, 2026, 2:10 p.m.