Triple

T11077251
Position Surface form Disambiguated ID Type / Status
Subject Salesforce Tower (Indianapolis) E261898 entity
Predicate namedAfter P63 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: [Salesforce Tower (Indianapolis), namedAfter, Salesforce]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salesforce
Context triple: [Salesforce Tower (Indianapolis), namedAfter, 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7999407288190a901d4a2427a2102 completed April 9, 2026, 12:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d641c288190b3fed49022f5552d completed April 19, 2026, 1:18 a.m.
Created at: April 8, 2026, 9:27 p.m.