Triple
T5922790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OpenJS Foundation |
E131736
|
entity |
| Predicate | hostsProject |
P2592
|
FINISHED |
| Object |
Fastify
Fastify is a high-performance, low-overhead web framework for Node.js designed for building fast and scalable HTTP APIs.
|
E554817
|
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: Fastify | Statement: [OpenJS Foundation, hostsProject, Fastify]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fastify Context triple: [OpenJS Foundation, hostsProject, Fastify]
-
A.
FastAPI
FastAPI is a modern, high-performance Python framework for building APIs with automatic interactive documentation and type hint–driven validation.
-
B.
Vite
Vite is a modern, lightning-fast frontend build tool and development server that leverages native ES modules and optimized bundling for frameworks like Vue and React.
-
C.
Uvicorn
Uvicorn is a high-performance, ASGI-compatible web server implementation for Python, commonly used to run modern async frameworks and applications.
-
D.
FeathersJS
FeathersJS is a lightweight, real-time microservices framework for Node.js that simplifies building REST and WebSocket APIs.
-
E.
Koa web framework
Koa is a minimalist, modern Node.js web framework designed by TJ Holowaychuk to provide a smaller, more expressive, and robust foundation for web applications and APIs using async functions.
- 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: Fastify Triple: [OpenJS Foundation, hostsProject, Fastify]
Generated description
Fastify is a high-performance, low-overhead web framework for Node.js designed for building fast and scalable HTTP APIs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fastify Target entity description: Fastify is a high-performance, low-overhead web framework for Node.js designed for building fast and scalable HTTP APIs.
-
A.
FastAPI
FastAPI is a modern, high-performance Python framework for building APIs with automatic interactive documentation and type hint–driven validation.
-
B.
Vite
Vite is a modern, lightning-fast frontend build tool and development server that leverages native ES modules and optimized bundling for frameworks like Vue and React.
-
C.
Uvicorn
Uvicorn is a high-performance, ASGI-compatible web server implementation for Python, commonly used to run modern async frameworks and applications.
-
D.
FeathersJS
FeathersJS is a lightweight, real-time microservices framework for Node.js that simplifies building REST and WebSocket APIs.
-
E.
Koa web framework
Koa is a minimalist, modern Node.js web framework designed by TJ Holowaychuk to provide a smaller, more expressive, and robust foundation for web applications and APIs using async functions.
- 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_69c0085a1ed08190a7e9a8b6323fd680 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03804d9808190829a418adb7864aa |
completed | March 22, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c0483e3481908e50f8b34b11a878 |
completed | March 23, 2026, 4:23 a.m. |
| NEDg | Description generation | batch_69c0c1442eb48190bc67c77764116b17 |
completed | March 23, 2026, 4:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0c1c31b108190af16c66f6e8a4c25 |
completed | March 23, 2026, 4:29 a.m. |
Created at: March 22, 2026, 4 p.m.