Triple
T7898525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EJS |
E183390
|
entity |
| Predicate | npmPackageName |
P25618
|
FINISHED |
| Object | ejs |
E183390
|
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: ejs | Statement: [EJS, npmPackageName, ejs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ejs Context triple: [EJS, npmPackageName, ejs]
-
A.
EJS
chosen
EJS (Embedded JavaScript) is a simple templating language that lets you generate HTML markup with plain JavaScript code.
-
B.
jade template engine (now Pug)
Jade (now known as Pug) is a high-performance, whitespace-sensitive templating engine for Node.js and web applications that uses a concise, indentation-based syntax to generate HTML.
-
C.
Handlebars
Handlebars is a popular logic-less templating engine for JavaScript that enables clean, readable templates with embedded expressions for dynamic HTML generation.
-
D.
Express.js
Express.js is a minimalist and flexible Node.js web application framework used to build APIs and server-side applications.
-
E.
Jinja2
Jinja2 is a popular Python templating engine used to generate dynamic HTML and other text-based formats, known for its Django-inspired syntax and integration with web frameworks like Flask.
- 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a2ae5048190a6824d34b582c366 |
completed | March 31, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bb719a08190a0545a361f559bf7 |
completed | March 31, 2026, 5:29 a.m. |
Created at: March 30, 2026, 5:01 p.m.