Triple
T22374702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koa |
E553123
|
entity |
| Predicate | ecosystemPackage |
P105230
|
FINISHED |
| Object | koa-bodyparser |
—
|
NE NERFINISHED |
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: koa-bodyparser | Statement: [Koa, ecosystemPackage, koa-bodyparser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: koa-bodyparser Context triple: [Koa, ecosystemPackage, koa-bodyparser]
-
A.
koa-bodyparser
chosen
koa-bodyparser is a middleware module for the Koa web framework that parses incoming request bodies (such as JSON, form, and text) into usable JavaScript objects.
-
B.
koa-router
koa-router is a popular routing middleware for the Koa web framework that provides URL routing, route parameters, and middleware composition for building Node.js APIs and web applications.
-
C.
koa-logger
koa-logger is a middleware package for the Koa web framework that provides concise, customizable HTTP request logging for Node.js applications.
-
D.
koa-static
koa-static is a middleware package for the Koa web framework that serves static files such as HTML, CSS, JavaScript, and images from a specified directory.
-
E.
Express.js
Express.js is a minimalist and flexible Node.js web application framework used to build APIs and server-side applications.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4c03248190a26a5060ea6973ee |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15806b534819083716c2b090ede42 |
completed | April 29, 2026, 12:59 a.m. |
Created at: April 16, 2026, 8:45 p.m.