Triple
T12556764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokia Series 40 |
E295236
|
entity |
| Predicate | supports |
P516
|
FINISHED |
| Object | Nokia Xpress Browser |
E937691
|
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: Nokia Xpress Browser | Statement: [Nokia Series 40, supports, Nokia Xpress Browser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nokia Xpress Browser Context triple: [Nokia Series 40, supports, Nokia Xpress Browser]
-
A.
Nokia Xpress Browser
chosen
Nokia Xpress Browser is a cloud-accelerated mobile web browser developed by Nokia to compress data and speed up browsing on low-end and feature phones.
-
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.
Colibri Browser
Colibri Browser is a minimalist web browser focused on speed and simplicity, built on the Blink rendering engine.
-
D.
QQ Browser
QQ Browser is a web browser developed by Tencent, widely used in China and integrated with the company’s QQ ecosystem and related online services.
-
E.
Silk Browser
Silk Browser is Amazon's cloud-accelerated web browser designed primarily for use on Fire tablets and other Amazon devices.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95490d2708190857f0cb9b8dd6a30 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f655895c9c819082f41e79906567c6 |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 11:47 p.m.