Triple

T1041633
Position Surface form Disambiguated ID Type / Status
Subject Automattic E22480 entity
Predicate supportsProject P12986 FINISHED
Object WordPress E19882 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: WordPress | Statement: [Automattic, supportsProject, WordPress]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WordPress
Context triple: [Automattic, supportsProject, WordPress]
  • A. WordPress chosen
    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.
  • B. WordPress Foundation
    The WordPress Foundation is a nonprofit organization that supports and protects the open-source WordPress project and its community.
  • C. CMS
    CMS is a major general-purpose particle physics detector at CERN’s Large Hadron Collider, designed to investigate fundamental particles and forces, including the Higgs boson.
  • D. CMS
    CMS is the U.S. federal agency within the Department of Health and Human Services that administers major national healthcare programs including Medicare, Medicaid, and the Children’s Health Insurance Program.
  • E. Blogger
    Blogger is a popular online platform that allows users to create, publish, and manage personal or professional blogs on the web.
  • 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_69ac3bc768948190b1cda4eea93fe4b6 completed March 7, 2026, 2:52 p.m.
Created at: March 1, 2026, 7:42 p.m.