Triple
T22375353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knex |
E553138
|
entity |
| Predicate | supports |
P516
|
FINISHED |
| Object | SQLite3 |
—
|
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: SQLite3 | Statement: [Knex, supports, SQLite3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SQLite3 Context triple: [Knex, supports, SQLite3]
-
A.
SQLite
chosen
SQLite is a lightweight, self-contained, serverless SQL database engine widely embedded in applications, operating systems, and devices.
-
B.
Better-SQLite3
Better-SQLite3 is a fast, synchronous SQLite3 library for Node.js that provides a simple, performant API for interacting with SQLite databases without the overhead of callbacks or promises.
-
C.
RethinkDB
RethinkDB is an open-source, distributed NoSQL database designed for real-time applications by pushing live updates to clients as data changes.
-
D.
Indexed Database API
The Indexed Database API is a low-level web browser API that enables client-side storage of significant amounts of structured data, including files and blobs, with powerful indexing and querying capabilities.
-
E.
Qt SQL
Qt SQL is a Qt framework module that provides a unified, high-level API for accessing and manipulating SQL databases across multiple backends.
- 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.