Triple
T2207376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Opera News |
E50831
|
entity |
| Predicate | integratedWith |
P2830
|
FINISHED |
| Object | Opera browser |
E50828
|
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: Opera browser | Statement: [Opera News, integratedWith, Opera browser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Opera browser Context triple: [Opera News, integratedWith, Opera browser]
-
A.
Opera web browser
chosen
Opera web browser is a cross-platform web browser known for its speed, built-in privacy and productivity features, and innovative tools like a free VPN and ad blocker.
-
B.
Colibri Browser
Colibri Browser is a minimalist web browser focused on speed and simplicity, built on the Blink rendering engine.
-
C.
Brave web browser
Brave web browser is a privacy-focused, open-source web browser known for its built-in ad and tracker blocking and optional cryptocurrency-based rewards system for users and publishers.
-
D.
Opera Software
Opera Software is a Norwegian software company best known for developing the Opera web browser and related internet technologies.
-
E.
Torch Browser
Torch Browser is a Chromium-based web browser known for its built-in media downloading, torrent management, and social media integration 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_69a88b06709c8190978fb2418470d1b6 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbfcbb83081908d5b2f1603c7b4d2 |
completed | March 7, 2026, 6:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71b629088190a5228a2f68500bd5 |
completed | March 9, 2026, 7:07 a.m. |
Created at: March 4, 2026, 7:46 p.m.