Triple

T2986418
Position Surface form Disambiguated ID Type / Status
Subject General Electric CF34-10E E80635 entity
Predicate reliabilityFocus P31647 FINISHED
Object reduced unscheduled removals 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 unscheduled removals | Statement: [General Electric CF34-10E, reliabilityFocus, reduced unscheduled removals]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reliabilityFocus
Context triple: [General Electric CF34-10E, reliabilityFocus, reduced unscheduled removals]
  • A. reliabilityMechanism
    Indicates a mechanism or process that ensures the dependable, consistent, and correct functioning of a system or relationship.
  • B. reliabilityRecord
    Indicates that there exists a record or documentation capturing the reliability characteristics, performance, or history associated with an entity or relationship.
  • C. performanceFocus
    Indicates that an entity directs attention or effort toward improving or emphasizing performance in a given context.
  • D. focusType chosen
    Indicates the specific kind or category of focus or attention that is being applied to or associated with an entity or interaction.
  • E. focusesOn
    Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
  • 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_69ad8b16c3488190b47b6aa7a59a335b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99c76dfc8190b08bd6110ffabf25 completed March 8, 2026, 3:46 p.m.
PD Predicate disambiguation batch_69ad9611fc348190a5d17d237f653f60 completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 2:59 p.m.