Triple
T192158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JavaScript |
E3742
|
entity |
| Predicate | commonlyUsedWith |
P3100
|
FINISHED |
| Object |
Express.js
Express.js is a minimalist and flexible Node.js web application framework used to build APIs and server-side applications.
|
E24482
|
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: Express.js | Statement: [JavaScript, commonlyUsedWith, Express.js]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Express.js Context triple: [JavaScript, commonlyUsedWith, Express.js]
-
A.
Flask
Flask is a lightweight, flexible Python micro web framework designed for building web applications and APIs with minimal boilerplate.
-
B.
JavaScript
JavaScript is a high-level, dynamic programming language primarily used to create interactive and dynamic content on web pages.
-
C.
CoffeeScript
CoffeeScript is a programming language that compiles to JavaScript, offering a more concise, Python- and Ruby-like syntax for writing web application code.
-
D.
HTTP
HTTP (Hypertext Transfer Protocol) is the foundational application-layer protocol used for transmitting web pages and other resources across the World Wide Web.
-
E.
AJAX
AJAX is a web development technique that allows web pages to update content asynchronously by exchanging data with a server in the background without reloading the entire page.
- 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: Express.js Triple: [JavaScript, commonlyUsedWith, Express.js]
Generated description
Express.js is a minimalist and flexible Node.js web application framework used to build APIs and server-side applications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Express.js Target entity description: Express.js is a minimalist and flexible Node.js web application framework used to build APIs and server-side applications.
-
A.
Flask
Flask is a lightweight, flexible Python micro web framework designed for building web applications and APIs with minimal boilerplate.
-
B.
JavaScript
JavaScript is a high-level, dynamic programming language primarily used to create interactive and dynamic content on web pages.
-
C.
CoffeeScript
CoffeeScript is a programming language that compiles to JavaScript, offering a more concise, Python- and Ruby-like syntax for writing web application code.
-
D.
HTTP
HTTP (Hypertext Transfer Protocol) is the foundational application-layer protocol used for transmitting web pages and other resources across the World Wide Web.
-
E.
AJAX
AJAX is a web development technique that allows web pages to update content asynchronously by exchanging data with a server in the background without reloading the entire page.
- 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_69a2548debd48190ae3a06d6e65b53c6 |
completed | Feb. 28, 2026, 2:35 a.m. |
| NER | Named-entity recognition | batch_69a259669ba08190a5be1d2e10e70b27 |
completed | Feb. 28, 2026, 2:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a30cc6bfdc819091478e5102a3d64f |
completed | Feb. 28, 2026, 3:41 p.m. |
| NEDg | Description generation | batch_69a30d5e9d788190b69c964001c8b7ce |
completed | Feb. 28, 2026, 3:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a30dc3fe5081909b90a55d8e0451d6 |
completed | Feb. 28, 2026, 3:46 p.m. |
Created at: Feb. 28, 2026, 2:41 a.m.