Triple

T17499019
Position Surface form Disambiguated ID Type / Status
Subject Splunk E426145 entity
Predicate product P490 FINISHED
Object Splunk APM NE NERFINISHED

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: Splunk APM | Statement: [Splunk, product, Splunk APM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Splunk APM
Context triple: [Splunk, product, Splunk APM]
  • A. AppDynamics
    AppDynamics is an application performance monitoring and observability company that provides tools to track, analyze, and optimize the performance of software applications and IT infrastructure.
  • B. Dynatrace
    Dynatrace is a software intelligence company that provides AI-powered application performance monitoring, observability, and infrastructure monitoring solutions for cloud environments.
  • C. Splunk chosen
    Splunk is a data analytics platform that specializes in collecting, indexing, and analyzing machine-generated data for monitoring, security, and operational intelligence.
  • D. New Relic
    New Relic is a software analytics and application performance monitoring company that provides tools for tracking and optimizing the performance of web and mobile applications.
  • E. Sumo Logic
    Sumo Logic is a cloud-native machine data analytics and log management platform that helps organizations monitor, troubleshoot, and secure their applications and infrastructure in real time.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4521028048190aa7c4023a72a12f4 completed April 19, 2026, 3:54 a.m.
Created at: April 10, 2026, 5:48 a.m.