Triple

T4279777
Position Surface form Disambiguated ID Type / Status
Subject BI Engine E97119 entity
Predicate performanceGoal P49728 FINISHED
Object sub-second to low-second query latency 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: sub-second to low-second query latency | Statement: [BI Engine, performanceGoal, sub-second to low-second query latency]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: performanceGoal
Context triple: [BI Engine, performanceGoal, sub-second to low-second query latency]
  • A. performanceFocus
    Indicates that an entity directs attention or effort toward improving or emphasizing performance in a given context.
  • B. goals
    Indicates that an entity has objectives, targets, or desired outcomes it aims to achieve.
  • C. performance
    Indicates that one entity’s effectiveness, quality, or success in carrying out a task, function, or role is being evaluated or characterized in relation to some standard or expectation.
  • D. strategicGoal
    Indicates that one entity represents a long-term objective or desired outcome that another entity is intentionally aiming to achieve or align actions toward.
  • E. engineeringGoal chosen
    Indicates that an entity has a specific engineering-related objective, target, or desired outcome it is intended to achieve or support.
  • 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_69b34544be3c819084d1ab82d29f90c5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b350367da48190b735deef9b5d2d2e completed March 12, 2026, 11:45 p.m.
PD Predicate disambiguation batch_69b347fc4c0c8190a7fcd814e27308a5 completed March 12, 2026, 11:10 p.m.
Created at: March 12, 2026, 11:07 p.m.