Triple
T4554383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WooCommerce |
E120445
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | Gutenberg editor |
E107978
|
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: Gutenberg editor | Statement: [WooCommerce, integratesWith, Gutenberg editor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gutenberg editor Context triple: [WooCommerce, integratesWith, Gutenberg editor]
-
A.
Magic Editor
Magic Editor is an AI-powered photo editing feature on Google Pixel devices that lets users easily reframe, reposition, and enhance elements within their images.
-
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.
Swagger Editor
Swagger Editor is an open-source, browser-based tool for designing, editing, and validating OpenAPI/Swagger API definitions in YAML or JSON.
-
D.
Gutenberg
chosen
Gutenberg is the block-based content editor introduced in WordPress to enable more flexible, visual page and post creation.
-
E.
Overleaf
Overleaf is a cloud-based collaborative LaTeX editing platform that allows users to write, share, and compile documents directly in a web browser.
- 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_69bd4636f1648190a701445c2fcd9c17 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd58127ed08190a04962a43afb888b |
completed | March 20, 2026, 2:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdc575e3388190ac95b9e0537fb701 |
completed | March 20, 2026, 10:08 p.m. |
Created at: March 20, 2026, 1:09 p.m.