Triple

T2703804
Position Surface form Disambiguated ID Type / Status
Subject ServiceNow E59295 entity
Predicate offers P178 FINISHED
Object ServiceNow Platform E59295 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: ServiceNow Platform | Statement: [ServiceNow, offers, ServiceNow Platform]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ServiceNow Platform
Context triple: [ServiceNow, offers, ServiceNow Platform]
  • A. ServiceNow chosen
    ServiceNow is a cloud-based software company best known for its enterprise workflow and IT service management platform that helps organizations automate and streamline business processes.
  • B. Appirio
    Appirio is a cloud services and consulting company known for helping enterprises implement and optimize platforms like Salesforce and Workday.
  • C. Appian
    Appian was a 2nd-century AD Roman historian of Greek origin best known for his multi-volume work "Roman History," which includes a detailed account of the Roman civil wars.
  • D. Zendesk
    Zendesk is a customer service and engagement software company best known for its cloud-based help desk and support ticketing solutions used by businesses worldwide.
  • E. Salesforce
    Salesforce is a leading cloud-based customer relationship management (CRM) company known for its suite of enterprise applications for sales, service, marketing, and analytics.
  • 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_69ab4ac66bc88190b9e4afa5fc843f72 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda5011bc8190ae4e41da391e759c completed March 7, 2026, 7:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf76caec8190930ead7931f7ea91 completed March 10, 2026, 5:43 a.m.
Created at: March 6, 2026, 9:55 p.m.