Triple

T12207267
Position Surface form Disambiguated ID Type / Status
Subject Now Platform E290867 entity
Predicate provider P1261 FINISHED
Object ServiceNow 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 | Statement: [Now Platform, provider, ServiceNow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ServiceNow
Context triple: [Now Platform, provider, ServiceNow]
  • 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. Zoho Desk
    Zoho Desk is a cloud-based customer service and help desk software platform designed to help businesses manage and streamline their support operations across multiple channels.
  • C. PagerDuty
    PagerDuty is a cloud-based incident management and alerting platform that helps IT and DevOps teams detect, triage, and resolve operational issues in real time.
  • 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. AquaLogic Service Manager
    AquaLogic Service Manager is a BEA Systems product that provides governance, security, and management capabilities for SOA-based web services and service-oriented applications.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c7d8f5c8190a46e9caa2a920fa9 completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68e9fc934819089f68bcc823015da completed May 2, 2026, 11:54 p.m.
Created at: April 8, 2026, 9:51 p.m.