Triple
T1831329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sugar Toolkit |
E40766
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Sugar desktop |
E203864
|
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: Sugar desktop | Statement: [Sugar Toolkit, relatedTo, Sugar desktop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sugar desktop Context triple: [Sugar Toolkit, relatedTo, Sugar desktop]
-
A.
Sugar desktop environment
chosen
Sugar desktop environment is a child-friendly, activity-based graphical user interface originally developed for the One Laptop per Child project, designed to support collaborative and exploratory learning.
-
B.
Sugar Toolkit
Sugar Toolkit is a collection of libraries and tools used to develop educational activities and applications for the Sugar learning platform.
-
C.
Puter
Puter is one of the main regional dialects of the Romansh language, traditionally spoken in parts of the Engadine valley in Switzerland.
-
D.
Sugar Labs
Sugar Labs is a nonprofit organization that develops and maintains the Sugar learning platform, an open-source educational software environment originally created for the One Laptop per Child project.
-
E.
Opera Software
Opera Software is a Norwegian software company best known for developing the Opera web browser and related internet technologies.
- 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_69a8864644bc8190b2358ab897194ac1 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb022aef48190975b6d12fc6681ad |
completed | March 7, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1c23f9c81909b7d524448351060 |
completed | March 8, 2026, 7:45 p.m. |
Created at: March 4, 2026, 7:32 p.m.