Triple

T1500142
Position Surface form Disambiguated ID Type / Status
Subject Omniture E29776 entity
Predicate hasSuccessor P78 FINISHED
Object Adobe Analytics E170445 NE 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: Adobe Analytics | Statement: [Omniture, hasSuccessor, Adobe Analytics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adobe Analytics
Context triple: [Omniture, hasSuccessor, Adobe Analytics]
  • A. Google Analytics 4
    Google Analytics 4 is Google’s latest-generation web and app analytics platform that tracks user behavior across devices and channels to provide privacy-focused, event-based insights for marketers and businesses.
  • B. Webtrends
    Webtrends is a digital analytics company known for providing web traffic measurement and marketing optimization solutions for websites and online campaigns.
  • C. Omniture
    Omniture was a leading web analytics and online marketing optimization company best known for its SiteCatalyst platform before being acquired by Adobe.
  • D. Adobe Marketing Cloud chosen
    Adobe Marketing Cloud is a suite of integrated digital marketing tools and analytics services from Adobe that helps businesses manage, measure, and optimize their online marketing efforts.
  • E. Data Studio
    Data Studio is Google's free data visualization and business intelligence tool that lets users create interactive, shareable reports and dashboards from multiple data sources.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a498dba1d8819093b46a3a8d2485f1 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6f2d7f881909188a3e5614335cd completed March 1, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad2945360c8190b20dfdf2f7be4fea completed March 8, 2026, 7:46 a.m.
Created at: March 1, 2026, 8:12 p.m.