Triple

T10430281
Position Surface form Disambiguated ID Type / Status
Subject Opera Mobile E245893 entity
Predicate relatedTo P37 FINISHED
Object Opera Mini E50829 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 Mini | Statement: [Opera Mobile, relatedTo, Opera Mini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Opera Mini
Context triple: [Opera Mobile, relatedTo, Opera Mini]
  • A. Opera Mini chosen
    Opera Mini is a lightweight mobile web browser designed to compress data and load pages quickly, especially on slower networks and lower-end devices.
  • B. Opera Mobile
    Opera Mobile is a mobile web browser developed by Opera Software, known for its speed, data compression, and support for advanced web standards on smartphones and tablets.
  • C. 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.
  • D. UR Browser
    UR Browser is a Chromium-based web browser focused on user privacy, security, and customization features.
  • 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_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_69d89f8a5b00819080c303bb0fc82f5a completed April 10, 2026, 6:58 a.m.
Created at: April 6, 2026, 12:13 p.m.