Triple

T12323761
Position Surface form Disambiguated ID Type / Status
Subject Amazon Connect E293779 entity
Predicate integratesWith P1075 FINISHED
Object Salesforce E17666 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: Salesforce | Statement: [Amazon Connect, integratesWith, Salesforce]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salesforce
Context triple: [Amazon Connect, integratesWith, Salesforce]
  • A. Salesforce chosen
    Salesforce is a leading cloud-based customer relationship management (CRM) company known for its suite of enterprise applications for sales, service, marketing, and analytics.
  • B. Zoho CRM
    Zoho CRM is a cloud-based customer relationship management platform designed to help businesses manage sales, marketing, and customer support in a unified system.
  • C. SDFC
    SDFC is the commonly used abbreviation for San Diego FC, a professional soccer club based in San Diego, California.
  • D. Arvato CRM Solutions
    Arvato CRM Solutions is a business process outsourcing provider specializing in customer relationship management services such as customer care, technical support, and digital communication for corporate clients.
  • E. Gainsight
    Gainsight is a customer success and product experience software company known for helping businesses reduce churn, drive expansion, and improve customer retention through data-driven insights and workflows.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f4d7dac81909ff10e64e229ef33 completed April 10, 2026, 6:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e70dec8819098199fbb54d888c1 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:53 p.m.