Triple

T23345195
Position Surface form Disambiguated ID Type / Status
Subject Flexity Zürich tram E591836 entity
Predicate energyEfficiencyMeasure P27882 FINISHED
Object lightweight construction 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: lightweight construction | Statement: [Flexity Zürich tram, energyEfficiencyMeasure, lightweight construction]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: energyEfficiencyMeasure
Context triple: [Flexity Zürich tram, energyEfficiencyMeasure, lightweight construction]
  • A. energyEfficiencyFeature chosen
    Indicates that an entity has a design, technology, or characteristic specifically intended to reduce energy consumption or improve energy performance.
  • B. energyUtilization
    Indicates how effectively an entity uses available energy to perform work or sustain its functions.
  • C. energyEfficiencyClass
    Indicates the energy efficiency rating category assigned to an item, typically reflecting how efficiently it uses or conserves energy relative to defined standards.
  • D. designEnergy
    Indicates that an entity is responsible for planning, specifying, or determining the energy-related characteristics or performance of another entity.
  • E. energyUse
    Indicates the amount or rate at which an entity consumes energy to perform its functions or activities.
  • 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_69e25d20e3d08190bcede87673cafb25 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1983697408190b31817174ed4e77b completed April 29, 2026, 5:33 a.m.
PD Predicate disambiguation batch_69effcfd8d288190937a887fe6023c11 completed April 28, 2026, 12:19 a.m.
Created at: April 17, 2026, 5:19 p.m.