Triple
T22375325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sequelize |
E553137
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | Sequelize CLI |
—
|
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: Sequelize CLI | Statement: [Sequelize, hasComponent, Sequelize CLI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sequelize CLI Context triple: [Sequelize, hasComponent, Sequelize CLI]
-
A.
Sequelize
chosen
Sequelize is a popular Node.js ORM that provides a promise-based interface for working with SQL databases such as PostgreSQL, MySQL, MariaDB, SQLite, and SQL Server.
-
B.
DBArtisan
DBArtisan is a commercial database administration tool that provides cross-platform management, performance tuning, and development capabilities for various relational database systems.
-
C.
Cloudflare D1
Cloudflare D1 is Cloudflare’s serverless SQL database service designed to provide low-latency, globally distributed data storage for applications running on its edge platform.
-
D.
Sails.js
Sails.js is a Node.js MVC framework designed for building data-driven, real-time web applications with a structure similar to frameworks like Ruby on Rails.
-
E.
sqlmodel
SQLModel is a Python library by Sebastián Ramírez (tiangolo) that combines SQLAlchemy and Pydantic to provide an easy, type-safe way to define and interact with SQL databases.
- 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_69f15807cb748190abd9adc08ca1ad4f |
completed | April 29, 2026, 12:59 a.m. |
Created at: April 16, 2026, 8:45 p.m.