Triple
T18799725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PyQt5 |
E459729
|
entity |
| Predicate | implements |
P1417
|
FINISHED |
| Object | Qt SQL API |
—
|
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: Qt SQL API | Statement: [PyQt5, implements, Qt SQL API]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qt SQL API Context triple: [PyQt5, implements, Qt SQL API]
-
A.
Qt SQL
chosen
Qt SQL is a Qt framework module that provides a unified, high-level API for accessing and manipulating SQL databases across multiple backends.
-
B.
SQLite
SQLite is a lightweight, self-contained, serverless SQL database engine widely embedded in applications, operating systems, and devices.
-
C.
Qt
Qt is a cross-platform application development framework widely used for building graphical user interfaces and multi-platform software in C++.
-
D.
SQL API
SQL API is a query interface in Apache Flink that lets users define streaming and batch data processing logic using standard SQL syntax.
-
E.
ODBC
ODBC (Open Database Connectivity) is a standard API that enables applications to access and query data from a wide variety of relational and non-relational database management systems using a common interface.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a02273b481909bc250144a0ace32 |
completed | April 20, 2026, 3:40 a.m. |
Created at: April 10, 2026, 11:53 a.m.