Triple

T2876192
Position Surface form Disambiguated ID Type / Status
Subject Pella 350 Series E56883 entity
Predicate energyEfficiency P27882 FINISHED
Object designed to meet or exceed ENERGY STAR requirements in many regions 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: designed to meet or exceed ENERGY STAR requirements in many regions | Statement: [Pella 350 Series, energyEfficiency, designed to meet or exceed ENERGY STAR requirements in many regions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: energyEfficiency
Context triple: [Pella 350 Series, energyEfficiency, designed to meet or exceed ENERGY STAR requirements in many regions]
  • A. energyEfficiencyFeature chosen
    Indicates that an entity has a design, technology, or characteristic specifically intended to reduce energy consumption or improve energy performance.
  • B. energyUse
    Indicates the amount or rate at which an entity consumes energy to perform its functions or activities.
  • C. designEnergy
    Indicates that an entity is responsible for planning, specifying, or determining the energy-related characteristics or performance of another entity.
  • D. fuelEfficiency
    Indicates how effectively an entity uses fuel to perform a given amount of work or travel a certain distance.
  • E. energyRegime
    Indicates the specific range or mode of energy conditions under which a process, interaction, or system operates or is characterized.
  • 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_69ab4a4ced288190ab6d3e062d10f7f6 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abe0061d048190bb1e5a01e7ceb0e2 completed March 7, 2026, 8:21 a.m.
PD Predicate disambiguation batch_69abdd142e4c8190b424cb0c5ff40d04 completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 10:03 p.m.