Triple
T314705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sugar |
E7680
|
entity |
| Predicate | supportsHardware |
P5090
|
FINISHED |
| Object | OLPC XO-1.5 |
E1952
|
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: OLPC XO-1.5 | Statement: [Sugar, supportsHardware, OLPC XO-1.5]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OLPC XO-1.5 Context triple: [Sugar, supportsHardware, OLPC XO-1.5]
-
A.
OLPC OS
OLPC OS is the specialized Linux-based operating system designed for One Laptop per Child devices, featuring the Sugar learning-focused user interface for children.
-
B.
One Laptop per Child
chosen
One Laptop per Child is an educational nonprofit initiative that aimed to provide low-cost, durable laptops to children in developing countries to support digital learning and bridge the global digital divide.
-
C.
Chromebox
Chromebox is a compact desktop computer that runs Google's ChromeOS and is designed primarily for web-based computing using the Chrome browser.
-
D.
Calliope mini
Calliope mini is a small educational microcontroller board designed to teach children and beginners programming and electronics through interactive projects.
-
E.
Chromebook
Chromebook is a line of lightweight laptops that run Google's ChromeOS, designed primarily for web-based computing and cloud-centric use.
- 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_69a2e7e7af7881908890039d6be4e9b8 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ee016c408190beab4009653524db |
completed | Feb. 28, 2026, 1:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3cfe6d2bc819097dc05c0ca2a03d9 |
completed | March 1, 2026, 5:34 a.m. |
Created at: Feb. 28, 2026, 1:07 p.m.