Triple

T13014234
Position Surface form Disambiguated ID Type / Status
Subject Nokia E71 E322502 entity
Predicate browser P5096 FINISHED
Object S60 web browser E1012927 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: S60 web browser | Statement: [Nokia E71, browser, S60 web browser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S60 web browser
Context triple: [Nokia E71, browser, S60 web browser]
  • A. Nokia Web Browser for S60 chosen
    Nokia Web Browser for S60 is a mobile web browser based on the S60 platform, designed to provide full Internet browsing capabilities on Nokia smartphones.
  • B. Nokia Xpress Browser
    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.
  • C. S60
    S60 is a Symbian-based mobile software platform and user interface used primarily on Nokia smartphones in the 2000s.
  • D. S60
    S60 is a commuter rail line within the Stuttgart S-Bahn network in Germany, providing regional passenger service between suburban areas and the city.
  • E. Odyssey Web Browser
    Odyssey Web Browser is a lightweight, WebKit-based browser primarily known for bringing modern web standards support to MorphOS and other niche or legacy computing platforms.
  • 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97ecbb8f4819094d55eb07cb5ad97 completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c11290e08190a41c162d47094203 completed May 3, 2026, 3:29 a.m.
Created at: April 9, 2026, 8:50 p.m.