Triple
T2207472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presto |
E50833
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | Opera 7 |
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 7 | Statement: [Presto, usedBy, Opera 7]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Opera 7 Context triple: [Presto, usedBy, Opera 7]
-
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.
Netscape Navigator
Netscape Navigator was a pioneering mid-1990s web browser that played a central role in popularizing the World Wide Web and ignited the first major “browser war.”
-
C.
Opera Software
Opera Software is a Norwegian software company best known for developing the Opera web browser and related internet technologies.
-
D.
Oberon operating system
The Oberon operating system is a minimalist, modular OS designed by Niklaus Wirth and Jürg Gutknecht to accompany the Oberon programming language and demonstrate principles of simplicity and efficiency in system design.
-
E.
Colibri Browser
Colibri Browser is a minimalist web browser focused on speed and simplicity, built on the Blink rendering engine.
- 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_69ae654e22b48190bb40f7c61bb359b1 |
completed | March 9, 2026, 6:14 a.m. |
Created at: March 4, 2026, 7:46 p.m.