Triple

T18160993
Position Surface form Disambiguated ID Type / Status
Subject Nokia 6260 E434758 entity
Predicate platform P1292 FINISHED
Object Series 60 2nd Edition NE NERFINISHED

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: Series 60 2nd Edition | Statement: [Nokia 6260, platform, Series 60 2nd Edition]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Series 60 2nd Edition
Context triple: [Nokia 6260, platform, Series 60 2nd Edition]
  • A. Series 60
    Series 60 is a mobile phone software platform and user interface developed by Nokia for its Symbian-based smartphones.
  • B. S60 chosen
    S60 is a Symbian-based mobile software platform and user interface used primarily on Nokia smartphones in the 2000s.
  • C. 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.
  • D. Nokia Series 90
    Nokia Series 90 is a touchscreen-oriented smartphone software platform developed by Nokia for high-end devices in the early 2000s, built on the Symbian operating system.
  • E. Nokia 6600
    The Nokia 6600 is a mid-2000s Symbian smartphone known for its rounded design, advanced multimedia features for its time, and popularity as a business and consumer device.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dec21e6081909070491f679c873c completed April 19, 2026, 1:55 p.m.
Created at: April 10, 2026, 10:30 a.m.