Triple
T4554371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WooCommerce |
E120445
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | WooCommerce REST API |
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 REST API | Statement: [WooCommerce, hasComponent, WooCommerce REST API]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WooCommerce REST API Context triple: [WooCommerce, hasComponent, WooCommerce REST API]
-
A.
WooCommerce
chosen
WooCommerce is a widely used open-source eCommerce plugin for WordPress that enables users to create and manage online stores.
-
B.
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.
-
C.
TradePlus
TradePlus is the original name of the online brokerage firm that later became known as E-Trade.
-
D.
Clouds Rest
Clouds Rest is a prominent granite peak in Yosemite National Park known for its sweeping panoramic views over Yosemite Valley and Half Dome.
-
E.
Google Merchant Center
Google Merchant Center is a Google platform that lets businesses upload and manage their product data so it can be used in Google Shopping and other Google advertising services.
- 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.