Triple

T37768749
Position Surface form Disambiguated ID Type / Status
Subject Nokia Asha 300 E941483 entity
Predicate supportsWCDMABands P68289 FINISHED
Object 900 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: 900 | Statement: [Nokia Asha 300, supportsWCDMABands, 900]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsWCDMABands
Context triple: [Nokia Asha 300, supportsWCDMABands, 900]
  • A. frequencyBandSupported chosen
    Indicates that an entity supports operation or functionality within a specified frequency band.
  • B. supportsSingleFrequencyNetworks
    Indicates that an entity enables or is compatible with operating in single frequency networks, where multiple transmitters use the same frequency to provide coordinated coverage.
  • C. supportsSubbands
    Indicates that one entity provides or is compatible with multiple subbands within a broader frequency or spectral band.
  • D. supportedBands
    Indicates that one entity (typically a musician or band) performed as a supporting or opening act for another band.
  • E. hasFrequencyChannels
    Indicates that an entity is associated with, or operates over, one or more specific frequency channels.
  • 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_69f76ee3251881909bb4451aad50752b completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_6a037c8efcd4819088c2aeead65d93df completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a1772e48190ba738c6d11b321e2 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:19 p.m.