Triple

T5101550
Position Surface form Disambiguated ID Type / Status
Subject SuiteFlow E114990 entity
Predicate developedBy P73 FINISHED
Object NetSuite E20927 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: NetSuite | Statement: [SuiteFlow, developedBy, NetSuite]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NetSuite
Context triple: [SuiteFlow, developedBy, NetSuite]
  • A. NetSuite chosen
    NetSuite is a cloud-based enterprise resource planning (ERP) and business management software suite widely used by companies to manage finance, operations, and customer relationships.
  • B. 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.
  • C. Intuit
    Intuit is an American financial software company best known for products like TurboTax, QuickBooks, and Mint that help individuals and small businesses manage taxes, accounting, and personal finance.
  • D. Ultimate Software
    Ultimate Software was a leading American provider of cloud-based human capital management and payroll software solutions for businesses.
  • E. Appirio
    Appirio is a cloud services and consulting company known for helping enterprises implement and optimize platforms like Salesforce and Workday.
  • 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_69bd4440b3348190be1251fd8b7951f1 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7584ed408190a6d1086588f24faa completed March 20, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba8d24388190882b9933a2a798c4 completed March 21, 2026, 3:34 p.m.
Created at: March 20, 2026, 1:40 p.m.