Triple

T27885879
Position Surface form Disambiguated ID Type / Status
Subject Performance Monitor E705219 entity
Predicate monitorsComponent P752 FINISHED
Object processor 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: processor | Statement: [Performance Monitor, monitorsComponent, processor]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: monitorsComponent
Context triple: [Performance Monitor, monitorsComponent, processor]
  • A. monitors chosen
    Indicates that one entity observes, tracks, or checks the state, behavior, or performance of another entity over time.
  • B. monitorsMedium
    Indicates that one entity observes, tracks, or supervises the state or activity of a particular medium (such as a channel, platform, or communication medium).
  • C. typicalMonitor
    Indicates that one entity commonly or characteristically monitors, observes, or oversees another entity in a usual or expected manner.
  • D. monitorType
    Indicates the type or category of monitor associated with or used by an entity.
  • E. monitoringBody
    Indicates that one entity is responsible for overseeing, supervising, or tracking the activities, performance, or compliance of another entity.
  • 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_69ef96b39c448190a9b3aa6672a5168f completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f639b09d208190a78de29906514a12 completed May 2, 2026, 5:51 p.m.
PD Predicate disambiguation batch_69f6318be69481909d1bcf29b7b60eb2 completed May 2, 2026, 5:17 p.m.
Created at: April 27, 2026, 6:33 p.m.