Triple

T1041612
Position Surface form Disambiguated ID Type / Status
Subject Automattic E22480 entity
Predicate owns P347 FINISHED
Object WooCommerce E120445 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: WooCommerce | Statement: [Automattic, owns, WooCommerce]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WooCommerce
Context triple: [Automattic, owns, WooCommerce]
  • A. WooCommerce chosen
    WooCommerce is a widely used open-source eCommerce plugin for WordPress that enables users to create and manage online stores.
  • B. Magento
    Magento is an open-source e-commerce platform widely used by businesses to build and manage online stores with extensive customization and scalability.
  • C. WordPress
    WordPress is a widely used open-source content management system that enables users to create, manage, and publish websites and blogs through a user-friendly, web-based interface.
  • D. Spree
    The Spree is a major river in eastern Germany that flows through the heart of Berlin and is central to the city's landscape and history.
  • E. WordPress Foundation
    The WordPress Foundation is a nonprofit organization that supports and protects the open-source WordPress project and its community.
  • 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_69a493d91478819094cc01fb65564bc1 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b82f6c14819080277443ea4722dd completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac429ad45481908641fcaf72f7d1b9 completed March 7, 2026, 3:22 p.m.
Created at: March 1, 2026, 7:42 p.m.