Triple

T11965750
Position Surface form Disambiguated ID Type / Status
Subject Nokia E5 E284785 entity
Predicate hasSoftwarePlatform P10387 FINISHED
Object S60 E277048 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 | Statement: [Nokia E5, hasSoftwarePlatform, S60]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S60
Context triple: [Nokia E5, hasSoftwarePlatform, S60]
  • A. S60 chosen
    S60 is a Symbian-based mobile software platform and user interface used primarily on Nokia smartphones in the 2000s.
  • B. 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.
  • C. Series 60
    Series 60 is a mobile phone software platform and user interface developed by Nokia for its Symbian-based smartphones.
  • D. Volvo S60
    The Volvo S60 is a compact executive sedan known for its Scandinavian design, strong safety features, and comfortable, refined driving experience.
  • E. Nokia Drive
    Nokia Drive is a turn-by-turn GPS navigation application developed by Nokia for its smartphones, offering offline maps and voice-guided directions.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903799f948190a5dc4d3822f3ff27 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f45952f69c8190a8c7f3c327ea1a63 completed May 1, 2026, 7:42 a.m.
Created at: April 8, 2026, 9:46 p.m.