Triple

T11657840
Position Surface form Disambiguated ID Type / Status
Subject Series 60 E277053 entity
Predicate alsoKnownAs P39 FINISHED
Object Series 60 platform E277053 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: Series 60 platform | Statement: [Series 60, alsoKnownAs, Series 60 platform]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Series 60 platform
Context triple: [Series 60, alsoKnownAs, Series 60 platform]
  • A. Series 60 chosen
    Series 60 is a mobile phone software platform and user interface developed by Nokia for its Symbian-based smartphones.
  • B. Symbian
    Symbian is a discontinued mobile operating system that was widely used on early smartphones, particularly those produced by Nokia, before being overtaken by modern platforms like Android and iOS.
  • 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. BlackBerry OS
    BlackBerry OS was a proprietary mobile operating system developed by BlackBerry Limited, best known for its secure messaging, email capabilities, and widespread use in early smartphones, especially in corporate and government environments.
  • 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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a3d0331481909682b2e504e4c9a0 completed April 10, 2026, 7:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee882148a08190a1a8c16d8cb7e48a completed April 26, 2026, 9:48 p.m.
Created at: April 8, 2026, 9:39 p.m.