Triple
T20358940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NetLedger |
E496722
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | NetSuite |
—
|
NE NERFINISHED |
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: [NetLedger, relatedTo, NetSuite]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NetSuite Context triple: [NetLedger, relatedTo, 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.
Xero
Xero was the original name of the American rock band Linkin Park during its early formation in the mid-1990s.
-
C.
Xero
Xero is a New Zealand–based cloud accounting software company that provides online bookkeeping and financial management tools for small and medium-sized businesses.
-
D.
Sage 50cloud
Sage 50cloud is a small and medium-sized business accounting software solution that combines traditional desktop functionality with cloud-connected features for bookkeeping, invoicing, and financial management.
-
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 (2 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678573fc481908bf257e6ed41d750 |
completed | April 20, 2026, 7:02 p.m. |
Created at: April 16, 2026, 11:25 a.m.