Triple

T11656418
Position Surface form Disambiguated ID Type / Status
Subject Azure Hybrid Benefit E277021 entity
Predicate costImpact P100215 FINISHED
Object reduces Windows Server base compute rate in Azure 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: reduces Windows Server base compute rate in Azure | Statement: [Azure Hybrid Benefit, costImpact, reduces Windows Server base compute rate in Azure]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: costImpact
Context triple: [Azure Hybrid Benefit, costImpact, reduces Windows Server base compute rate in Azure]
  • A. impactCategory
    Indicates the type or domain of effect that one entity or action has on another, classifying the nature of its impact.
  • B. costToUser
    Indicates the amount of cost or expense that is borne by, charged to, or incurred by the user.
  • C. encodingImpact
    Indicates how one encoding or encoding choice affects, modifies, or constrains another process, representation, or outcome.
  • D. impactOnBusiness
    Indicates the effect or influence that one factor, event, or action has on a business’s performance, operations, or outcomes.
  • E. estimatedCost
    Indicates the predicted or calculated monetary amount expected to be required for something, such as a project, item, or action.
  • 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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a3d0331481909682b2e504e4c9a0 completed April 10, 2026, 7:16 a.m.
PD Predicate disambiguation batch_69d85ddc780481909a3bc63832fe2bd2 completed April 10, 2026, 2:18 a.m.
PDg Predicate description generation batch_69d87f30642c8190ad94fa061cde186b completed April 10, 2026, 4:40 a.m.
Created at: April 8, 2026, 9:39 p.m.