Triple

T35959558
Position Surface form Disambiguated ID Type / Status
Subject K computer E1039957 entity
Predicate energyEfficiencyRank P184284 FINISHED
Object Green500 NE NERFINISHED

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: Green500 | Statement: [K computer, energyEfficiencyRank, Green500]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: energyEfficiencyRank
Context triple: [K computer, energyEfficiencyRank, Green500]
  • A. energyEfficiencyClass
    Indicates the energy efficiency rating category assigned to an item, typically reflecting how efficiently it uses or conserves energy relative to defined standards.
  • B. energyEfficiencyFeature
    Indicates that an entity has a design, technology, or characteristic specifically intended to reduce energy consumption or improve energy performance.
  • C. energyUtilization
    Indicates how effectively an entity uses available energy to perform work or sustain its functions.
  • D. sustainabilityRating
    Indicates the assessed level of how environmentally and socially sustainable an entity, product, or activity is.
  • E. claimedEfficiency
    Indicates that an entity asserts or reports a certain level of efficiency, regardless of whether that efficiency is verified or actual.
  • F. None of above. chosen

Provenance (4 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_69f76e26b21081909fd9ffb3aff6c77a completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7acaec1508190a38f2ac9cc5383e7 completed May 3, 2026, 8:14 p.m.
PD Predicate disambiguation batch_69f7ab734d848190a84f9b8c3a952b75 completed May 3, 2026, 8:09 p.m.
PDg Predicate description generation batch_69f7ac2210e481909279dade5328825c completed May 3, 2026, 8:12 p.m.
Created at: May 3, 2026, 4:07 p.m.