Triple

T28722859
Position Surface form Disambiguated ID Type / Status
Subject Microsoft Sentinel E730139 entity
Predicate dataIngestionModel P68023 FINISHED
Object pay-per-GB ingested 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: pay-per-GB ingested | Statement: [Microsoft Sentinel, dataIngestionModel, pay-per-GB ingested]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dataIngestionModel
Context triple: [Microsoft Sentinel, dataIngestionModel, pay-per-GB ingested]
  • A. dataIntegration
    Indicates that data from multiple sources is combined, transformed, and unified into a single, coherent dataset or system.
  • B. dataAcquisition chosen
    Indicates the process by which one entity obtains, collects, or retrieves data from another source or system.
  • C. dataModel
    Indicates a relationship where an entity defines, uses, or is structured according to a specific data model or schema.
  • D. data
    Indicates that one entity serves as informational content, measurements, or recorded values associated with another entity.
  • E. dataManagement
    Indicates the relationship in which an entity organizes, stores, maintains, and governs data throughout its lifecycle.
  • 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_69f043e91fe48190b73bcd8e08d433e0 completed April 28, 2026, 5:21 a.m.
NER Named-entity recognition batch_69f6570a98f48190bf32db095b6bcc94 completed May 2, 2026, 7:56 p.m.
PD Predicate disambiguation batch_69f651ac855481908e30c3b345d31356 completed May 2, 2026, 7:34 p.m.
Created at: April 28, 2026, 5:54 a.m.