Triple
T10430256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Opera Mobile |
E245893
|
entity |
| Predicate | supports |
P516
|
FINISHED |
| Object | Opera Turbo |
E860780
|
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 Turbo | Statement: [Opera Mobile, supports, Opera Turbo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Opera Turbo Context triple: [Opera Mobile, supports, Opera Turbo]
-
A.
Opera Turbo
chosen
Opera Turbo is a data-compression and acceleration feature in the Opera web browser designed to speed up browsing and reduce bandwidth usage, especially on slow connections.
-
B.
Discovery Turbo
Discovery Turbo is a television channel focused on motoring, engineering, and high-octane factual entertainment, featuring shows about cars, bikes, and other machines.
-
C.
Anytos
Anytos is a figure from Greek mythology known primarily as a Titan or divine guardian associated with the Arcadian goddess Despoina.
-
D.
Opera Mini
Opera Mini is a lightweight mobile web browser designed to compress data and load pages quickly, especially on slower networks and lower-end devices.
-
E.
Kinza Browser
Kinza Browser is a Japanese-developed, Chromium-based web browser that offers extensive customization options and user-centric features 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea62d6448190a7f5b785467824cf |
completed | April 7, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87eb068bc8190be9c7c916850278e |
completed | April 10, 2026, 4:38 a.m. |
Created at: April 6, 2026, 12:13 p.m.