Triple

T6311927
Position Surface form Disambiguated ID Type / Status
Subject San Francisco Federal Building E141522 entity
Predicate energyEfficiencyGoal P27882 FINISHED
Object reduced energy consumption compared to typical office buildings 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: reduced energy consumption compared to typical office buildings | Statement: [San Francisco Federal Building, energyEfficiencyGoal, reduced energy consumption compared to typical office buildings]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: energyEfficiencyGoal
Context triple: [San Francisco Federal Building, energyEfficiencyGoal, reduced energy consumption compared to typical office buildings]
  • A. energyUtilization
    Indicates how effectively an entity uses available energy to perform work or sustain its functions.
  • B. energyEfficiencyFeature chosen
    Indicates that an entity has a design, technology, or characteristic specifically intended to reduce energy consumption or improve energy performance.
  • C. energyUse
    Indicates the amount or rate at which an entity consumes energy to perform its functions or activities.
  • D. designEnergy
    Indicates that an entity is responsible for planning, specifying, or determining the energy-related characteristics or performance of another entity.
  • E. maximumEfficiency
    Indicates that an entity operates at its highest possible level of performance or productivity under given conditions.
  • 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_69c008d00efc8190a36c05b4b4a3bf4b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0649d1e048190a3fc7fbce9d2ee57 completed March 22, 2026, 9:52 p.m.
PD Predicate disambiguation batch_69c060e311b48190b1c74a5cf9435623 completed March 22, 2026, 9:36 p.m.
Created at: March 22, 2026, 4:28 p.m.