Triple

T8410986
Position Surface form Disambiguated ID Type / Status
Subject Zoho Mail E198620 entity
Predicate ownedBy P347 FINISHED
Object Zoho Corporation E191615 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: Zoho Corporation | Statement: [Zoho Mail, ownedBy, Zoho Corporation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zoho Corporation
Context triple: [Zoho Mail, ownedBy, Zoho Corporation]
  • A. Zoho Corporation chosen
    Zoho Corporation is an Indian software company best known for its wide suite of cloud-based business applications, including CRM, productivity, and collaboration tools for organizations of all sizes.
  • B. Ultimate Software
    Ultimate Software was a leading American provider of cloud-based human capital management and payroll software solutions for businesses.
  • C. Zoho One
    Zoho One is an integrated suite of cloud-based business applications designed to manage everything from sales and marketing to finance, HR, and operations within a single platform.
  • D. Infosys
    Infosys is a leading Indian multinational IT services and consulting company known for its global technology solutions and innovation initiatives.
  • E. HCL Technologies
    HCL Technologies is a global Indian IT services and consulting company known for providing software development, infrastructure management, and digital transformation solutions to enterprises worldwide.
  • 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_69ca831201b481909e137936ef99ff11 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb83dec1f08190ae08719e860b29fa completed March 31, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce397e169c8190b2decf637b422e6c completed April 2, 2026, 9:40 a.m.
Created at: March 30, 2026, 6:05 p.m.