Triple
T18799726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PyQt5 |
E459729
|
entity |
| Predicate | implements |
P1417
|
FINISHED |
| Object | Qt Test 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 Test API | Statement: [PyQt5, implements, Qt Test API]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qt Test API Context triple: [PyQt5, implements, Qt Test API]
-
A.
TestComplete
TestComplete is a commercial automated UI testing tool that supports functional and regression testing for desktop, web, and mobile applications.
-
B.
Qt
chosen
Qt is a cross-platform application development framework widely used for building graphical user interfaces and multi-platform software in C++.
-
C.
MUnit
MUnit is a testing framework designed for Mule applications that enables developers to create, automate, and run unit and integration tests within the MuleSoft ecosystem.
-
D.
Testify
Testify is a 2002 studio album by English musician Phil Collins, known for its introspective pop-rock style and reflective songwriting.
-
E.
Testify
"Testify" is a blues-rock song by Stevie Ray Vaughan and Double Trouble, featured on their debut album "Texas Flood."
- 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.