Triple
T14423398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whale Store |
E357636
|
entity |
| Predicate | targetPlatform |
P5090
|
FINISHED |
| Object | Naver Whale browser |
E72100
|
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: Naver Whale browser | Statement: [Whale Store, targetPlatform, Naver Whale browser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naver Whale browser Context triple: [Whale Store, targetPlatform, Naver Whale browser]
-
A.
Naver Whale
chosen
Naver Whale is a web browser developed by South Korean company Naver, known for its integrated productivity features and support for web apps and extensions.
-
B.
Huawei Browser
Huawei Browser is Huawei’s proprietary web browser designed for its mobile ecosystem, offering integrated services, privacy features, and optimization for Huawei devices.
-
C.
Yandex Browser
Yandex Browser is a web browser developed by the Russian company Yandex that emphasizes speed, security, and integration with Yandex’s online services.
-
D.
Silk Browser
Silk Browser is Amazon's cloud-accelerated web browser designed primarily for use on Fire tablets and other Amazon devices.
-
E.
UR Browser
UR Browser is a Chromium-based web browser focused on user privacy, security, and customization features.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91123f848190ba3fb18a76c2d24c |
completed | April 14, 2026, 7:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d82f9ec81909e52485f6ec1837e |
completed | May 8, 2026, 4:58 a.m. |
Created at: April 10, 2026, 1:18 a.m.