Triple

T34929601
Position Surface form Disambiguated ID Type / Status
Subject Nokia 5310 XpressMusic E1007392 entity
Predicate loudspeaker P181870 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 5310 XpressMusic, loudspeaker, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: loudspeaker
Context triple: [Nokia 5310 XpressMusic, loudspeaker, yes]
  • A. sounderFunction
    Indicates a functional relationship where one entity serves as or performs the role of a sounder (a device or mechanism that produces or detects sound) for another entity.
  • B. speakerChamber
    Indicates the legislative chamber or house in which a given speaker holds or held their official position.
  • C. speakerType
    Indicates the role or category of a participant in a communicative act (e.g., narrator, quoted speaker, system voice) within a given context.
  • D. isSoundProducedBy
    Indicates that a particular sound is generated or emitted by a specified source or entity.
  • E. hasSpeakerType
    Indicates that an entity functions in a particular role or category as a speaker (e.g., narrator, character, announcer) within a given context.
  • F. None of above. chosen

Provenance (4 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_69f76dc3d83881909d5c3c14455cfa2c completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f782cf61948190b98185d961609554 completed May 3, 2026, 5:15 p.m.
PD Predicate disambiguation batch_69f781020cc4819088c40cb8589504e4 completed May 3, 2026, 5:08 p.m.
PDg Predicate description generation batch_69f782c848fc8190baea8c845ca9079f completed May 3, 2026, 5:15 p.m.
Created at: May 3, 2026, 4 p.m.