Triple

T1368283
Position Surface form Disambiguated ID Type / Status
Subject Magento E30050 entity
Predicate rebrandedAs P65 FINISHED
Object Adobe Commerce E30050 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: Adobe Commerce | Statement: [Magento, rebrandedAs, Adobe Commerce]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adobe Commerce
Context triple: [Magento, rebrandedAs, Adobe Commerce]
  • A. Magento chosen
    Magento is an open-source e-commerce platform widely used by businesses to build and manage online stores with extensive customization and scalability.
  • B. WooCommerce
    WooCommerce is a widely used open-source eCommerce plugin for WordPress that enables users to create and manage online stores.
  • C. 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.
  • D. NetSuite
    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.
  • E. International Digital Commerce Group
    International Digital Commerce Group is Alibaba Group’s global e-commerce division focused on operating and expanding its international online retail and wholesale platforms.
  • 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_69a498f912008190a376a98b207b2071 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c2d497f88190993d16a208ced43d completed March 1, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce7ae56c8190970bacb061a71798 completed March 8, 2026, 1:18 a.m.
Created at: March 1, 2026, 7:57 p.m.