Triple
T9018034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KDE community |
E215643
|
entity |
| Predicate | collaboratesWith |
P37
|
FINISHED |
| Object | Qt Company |
E751189
|
NE FINISHED |
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 Company | Statement: [KDE community, collaboratesWith, Qt Company]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qt Company Context triple: [KDE community, collaboratesWith, Qt Company]
-
A.
The Qt Company
chosen
The Qt Company is a Finnish software company best known for developing and maintaining the Qt cross-platform application and user interface framework used worldwide in desktop, mobile, and embedded systems.
-
B.
KDAB
KDAB is the ICAO airport code for Daytona Beach International Airport in Daytona Beach, Florida.
-
C.
Tokutek
Tokutek was a software company best known for creating high-performance storage engines for MySQL and MariaDB, particularly the fractal tree–based TokuDB.
-
D.
SUSE
SUSE is a German-based open-source software company best known for its enterprise Linux distributions and related infrastructure solutions.
-
E.
The Document Foundation
The Document Foundation is a non-profit organization that oversees the development of the LibreOffice open-source office suite and promotes free, community-driven productivity software.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca83a38aa88190bf1bb80c4548b5e2 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a3ef98081909e66372a89f881b9 |
completed | April 1, 2026, 12:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdbabd6108190aa2f3c6f59d7999c |
completed | April 3, 2026, 3:24 p.m. |
Created at: March 30, 2026, 7:07 p.m.