Triple
T1160680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Express.js |
E24482
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | NestJS |
E34654
|
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: NestJS | Statement: [Express.js, influenced, NestJS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NestJS Context triple: [Express.js, influenced, NestJS]
-
A.
NestJS
chosen
NestJS is a progressive Node.js framework for building efficient, scalable server-side applications using TypeScript and a modular, dependency-injection-driven architecture.
-
B.
Angular
Angular is a popular TypeScript-based open-source web application framework developed by Google for building dynamic, single-page client applications.
-
C.
Node.js
Node.js is an open-source, cross-platform runtime environment that allows developers to execute JavaScript code on the server side.
-
D.
Express.js
Express.js is a minimalist and flexible Node.js web application framework used to build APIs and server-side applications.
-
E.
Uvicorn
Uvicorn is a high-performance, ASGI-compatible web server implementation for Python, commonly used to run modern async frameworks and applications.
- 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_69a494060e148190abb42f971242c197 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bcaf3a9081908bad2eba74dffbc1 |
completed | March 1, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac5ebcd9788190ae319afc7d63c2e7 |
completed | March 7, 2026, 5:22 p.m. |
Created at: March 1, 2026, 7:45 p.m.