Triple

T921049
Position Surface form Disambiguated ID Type / Status
Subject WordPress E19882 entity
Predicate governingBody P46 FINISHED
Object WordPress Foundation E107975 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 Foundation | Statement: [WordPress, governingBody, WordPress Foundation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WordPress Foundation
Context triple: [WordPress, governingBody, WordPress Foundation]
  • A. WordPress Foundation chosen
    The WordPress Foundation is a nonprofit organization that supports and protects the open-source WordPress project and its community.
  • B. 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.
  • C. WP-CLI
    WP-CLI is a command-line interface tool that allows developers and administrators to manage and automate WordPress tasks directly from the terminal.
  • D. Automattic
    Automattic is a web development and publishing company best known for owning and operating WordPress.com and several other major online platforms and tools.
  • E. Mozilla Foundation
    The Mozilla Foundation is a nonprofit organization best known for promoting an open and accessible internet and stewarding projects like the Firefox web browser and the JavaScript language’s early development.
  • 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_69a493a099788190a696d9d8408cbaf4 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3120dbc81908362158fe3ffa889 completed March 1, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a826d8f9408190aa286bb809507797 completed March 4, 2026, 12:34 p.m.
Created at: March 1, 2026, 7:40 p.m.