Triple
T14441170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samsung smart TVs |
E358084
|
entity |
| Predicate | operatingSystem |
P1593
|
FINISHED |
| Object | Tizen |
E182258
|
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: Tizen | Statement: [Samsung smart TVs, operatingSystem, Tizen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tizen Context triple: [Samsung smart TVs, operatingSystem, Tizen]
-
A.
Tizen
chosen
Tizen is a Linux-based open-source operating system primarily used in smart TVs, wearables, and other embedded and IoT devices.
-
B.
KaiOS
KaiOS is a lightweight mobile operating system designed for feature phones, bringing smartphone-like apps and internet capabilities to devices with limited hardware.
-
C.
MeeGo
MeeGo is a discontinued Linux-based open-source operating system platform designed primarily for mobile devices and embedded systems, developed jointly by Nokia and Intel.
-
D.
Tizen Association
The Tizen Association is an industry consortium responsible for overseeing the development and promotion of the Tizen open-source operating system platform.
-
E.
Tizen Studio
Tizen Studio is an integrated development environment (IDE) used to create, test, and debug applications for the Tizen operating system across devices like smartwatches, TVs, and IoT products.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de914c1398819090fa2a74d257ba3e |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bda6ee88190aeec77092eb3576a |
completed | May 8, 2026, 3:43 a.m. |
Created at: April 10, 2026, 1:18 a.m.