Triple

T35075419
Position Surface form Disambiguated ID Type / Status
Subject Nokia 1600 E1011997 entity
Predicate supportsCustomRingtones P105051 FINISHED
Object yes LITERAL 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: yes | Statement: [Nokia 1600, supportsCustomRingtones, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsCustomRingtones
Context triple: [Nokia 1600, supportsCustomRingtones, yes]
  • A. supportsRingtones chosen
    Indicates that one entity provides the capability for another entity to use or play ringtones.
  • B. supportsTone
    Indicates that one entity is compatible with, enables, or can correctly handle a specified tone or tonal characteristic of another entity.
  • C. supportsCustomWatchFaces
    Indicates that an entity provides the capability to use or install custom-designed watch faces beyond the default options.
  • D. hasRingtoneComposer
    Indicates that an entity has another entity as the creator or composer of its ringtone.
  • E. supportsCustomCovers
    Indicates that one entity provides the capability for another entity to use or define custom cover designs or images.
  • F. None of above.

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_69f76dd193108190af2528186f25b72a completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_6a037c8c34f88190ace26f555827f23e completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a016960819093ed4990fb4d9d36 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:01 p.m.