Triple
T6443420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bytecode Alliance |
E138280
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Shopify
Shopify is a leading global e-commerce platform that enables businesses to create and manage online stores and sell products across multiple channels.
|
E595002
|
NE FINISHED |
How this triple was built (4 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: Shopify | Statement: [Bytecode Alliance, hasMember, Shopify]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shopify Context triple: [Bytecode Alliance, hasMember, Shopify]
-
A.
Weebly
Weebly is a website-building and e-commerce platform that enables users to easily create and manage websites through a drag-and-drop interface.
-
B.
WooCommerce
WooCommerce is a widely used open-source eCommerce plugin for WordPress that enables users to create and manage online stores.
-
C.
Spree
Spree is a dark satirical horror-thriller film about a rideshare driver obsessed with social media fame, starring Joe Keery.
-
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.
Netlify
Netlify is a cloud platform for building, deploying, and hosting modern web applications and static sites with integrated CI/CD and serverless capabilities.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Shopify Triple: [Bytecode Alliance, hasMember, Shopify]
Generated description
Shopify is a leading global e-commerce platform that enables businesses to create and manage online stores and sell products across multiple channels.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shopify Target entity description: Shopify is a leading global e-commerce platform that enables businesses to create and manage online stores and sell products across multiple channels.
-
A.
Weebly
Weebly is a website-building and e-commerce platform that enables users to easily create and manage websites through a drag-and-drop interface.
-
B.
WooCommerce
WooCommerce is a widely used open-source eCommerce plugin for WordPress that enables users to create and manage online stores.
-
C.
Spree
Spree is a dark satirical horror-thriller film about a rideshare driver obsessed with social media fame, starring Joe Keery.
-
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.
Netlify
Netlify is a cloud platform for building, deploying, and hosting modern web applications and static sites with integrated CI/CD and serverless capabilities.
- F. None of above. chosen
Provenance (5 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_69c008aa61ac8190bc96715ed79fe2d8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0698b030481908b7bb4e16a8b3339 |
completed | March 22, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64bc718dc8190b186d09a17562d26 |
completed | March 27, 2026, 9:20 a.m. |
| NEDg | Description generation | batch_69c64f8c3df08190986343f78e7a066a |
completed | March 27, 2026, 9:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6501b1b6481908cead1450402752b |
completed | March 27, 2026, 9:38 a.m. |
Created at: March 22, 2026, 4:46 p.m.