Triple

T37768745
Position Surface form Disambiguated ID Type / Status
Subject Nokia Asha 300 E941483 entity
Predicate supportsGSMBands P68289 FINISHED
Object 850 — 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: 850 | Statement: [Nokia Asha 300, supportsGSMBands, 850]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsGSMBands
Context triple: [Nokia Asha 300, supportsGSMBands, 850]
  • A. frequencyBandSupported chosen
    Indicates that an entity supports operation or functionality within a specified frequency band.
  • B. supportsGSM
    Indicates that one entity provides compatibility with or operational support for GSM (Global System for Mobile communications) technology for another entity.
  • C. has5GSupport
    Indicates that the subject device or system supports and is compatible with 5G network technology.
  • D. telecomStandardSupported
    Indicates that a system, device, or service is compatible with and can operate according to a specified telecommunications standard.
  • E. supportsGPRS
    Indicates that one entity provides or is compatible with GPRS (General Packet Radio Service) functionality for another entity.
  • 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.